Efficacy of Intensified Hygiene Measures with or without the Addition of Doxycycline in the Management of Filarial Lymphedema: A Randomized Double-Blind, Placebo-Controlled Clinical Trial in Tanzania

Abdallah Ngenya National Institute for Medical Research, Dar es Salaam, Tanzania;

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Ute Klarmann-Schulz Institute for Medical Microbiology, Immunology and Parasitology, University Hospital Bonn, Bonn, Germany;
German Center for Infection Research, partner site Bonn-Cologne, Bonn, Germany;
Institute for Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany;

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Winfrida John National Institute for Medical Research, Dar es Salaam, Tanzania;

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Patricia Jebett Korir Institute for Medical Microbiology, Immunology and Parasitology, University Hospital Bonn, Bonn, Germany;
German Center for Infection Research, partner site Bonn-Cologne, Bonn, Germany;

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Mathias Kamugisha National Institute for Medical Research, Dar es Salaam, Tanzania;

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Jennifer Nadal Institute for Medical Microbiology, Immunology and Parasitology, University Hospital Bonn, Bonn, Germany;
Institute for Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany;

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Dennis Moshi National Institute for Medical Research, Dar es Salaam, Tanzania;

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Arcangelo Ricchiuto Institute for Medical Microbiology, Immunology and Parasitology, University Hospital Bonn, Bonn, Germany;
Institute for Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany;

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Ndekya Oriyo National Institute for Medical Research, Dar es Salaam, Tanzania;

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Sarah Mary Sullivan Neglected Tropical Diseases Support Center, Task Force for Global Health, Decatur, Georgia;

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Ruth Laizer Kilimanjaro Clinical Research Institute, Moshi, Tanzania;

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John Horton Tropical Projects, Hitchin, United Kingdom;

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Max Demitrius National Institute for Medical Research, Dar es Salaam, Tanzania;

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Anja Feichtner Division of Infectious Diseases and Tropical Medicine, Medical Center of the Ludwig-Maximilians-University, Munich, Germany;
German Center for Infection Research, partner site Munich, Munich, Germany;

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Thomas F. Marandu University of Dar es Salaam–Mbeya College of Health and Allied Sciences, Mbeya, Tanzania;

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Yusuph Mgaya National Institute for Medical Research, Dar es Salaam, Tanzania;

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Angelika Kellings Clinical Study Core Unit Bonn, Institute of Clinical Chemistry and Clinical Pharmacology, University of Bonn, Bonn, Germany;

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Inge Kroidl Division of Infectious Diseases and Tropical Medicine, Medical Center of the Ludwig-Maximilians-University, Munich, Germany;
German Center for Infection Research, partner site Munich, Munich, Germany;

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John Ogondiek National Institute for Medical Research, Dar es Salaam, Tanzania;

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Janina M. Kuehlwein Institute for Medical Microbiology, Immunology and Parasitology, University Hospital Bonn, Bonn, Germany;
German Center for Infection Research, partner site Bonn-Cologne, Bonn, Germany;

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Leonard Masagati National Institute for Medical Research, Dar es Salaam, Tanzania;

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Charles Mackenzie Neglected Tropical Diseases Support Center, Task Force for Global Health, Decatur, Georgia;

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Maureen Mosoba National Institute for Medical Research, Dar es Salaam, Tanzania;
Center for International Health, Ludwig-Maximilians-University, Munich, Germany;

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Sacha Horn Division of Infectious Diseases and Tropical Medicine, Medical Center of the Ludwig-Maximilians-University, Munich, Germany;

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Kheri Kagya Regional Medical Office, Lindi Municipal Council, Lindi Region, Tanzania;

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Samuel Wanji Department of Microbiology and Parasitology, University of Buea, Buea, Cameroon;

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Wilfred Mandara National Institute for Medical Research, Dar es Salaam, Tanzania;

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Linda Batsa Debrah Kumasi Centre for Collaborative Research in Tropical Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana;
Department of Clinical Microbiology, School of Medicine and Dentistry, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana;
German–West African Center for Global Health and Pandemic Prevention, partner site Kumasi, Kumasi, Ghana;

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Eric A. Ottesen Neglected Tropical Diseases Support Center, Task Force for Global Health, Decatur, Georgia;

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Alexander Yaw Debrah Kumasi Centre for Collaborative Research in Tropical Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana;
German–West African Center for Global Health and Pandemic Prevention, partner site Kumasi, Kumasi, Ghana;
Faculty of Allied Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana;

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Upendo Mwingira National Institute for Medical Research, Dar es Salaam, Tanzania;
RTI International, Washington, District of Columbia;

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Achim Hoerauf Institute for Medical Microbiology, Immunology and Parasitology, University Hospital Bonn, Bonn, Germany;
German Center for Infection Research, partner site Bonn-Cologne, Bonn, Germany;
German–West African Center for Global Health and Pandemic Prevention, partner site Bonn, Bonn, Germany

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Akili Kalinga National Institute for Medical Research, Dar es Salaam, Tanzania;

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ABSTRACT.

Lymphedema, hydrocele, and acute adenolymphangitis (ADL) are chronically disabling consequences in patients with lymphatic filariasis (LF). Provision of morbidity management and disability prevention and concurrent mass drug administration of anthelmintics are two pillars for elimination of LF. This study assessed the impact of strict hygiene protocols with or without doxycycline on the progression of filarial lymphedema. A randomized, placebo-controlled, double-blind trial was conducted in two regions in Tanzania. We enrolled 362 participants with lymphedema stages 1–3 assigned into three treatment groups of doxycycline 200 mg once daily, doxycycline 100 mg once daily, or matching placebo for 42 days in addition to hygiene measures. The participants were followed every 2 months for 2 years. Twenty-four months after treatment onset, 17.7% of participants displayed improved limb conditions, including 15/104 (14.4%) in the doxycycline 200 mg group, 16/105 (15.2%) in the doxycycline 100 mg group, and 25/107 (23.4%) in the placebo group. During the first 6 months after treatment, the number of participants experiencing an ADL attack was significantly lower in the doxycycline groups than in the placebo group. The study also found that hygiene was one of the factors associated with preventing the occurrence of acute attacks over the whole study period. Doxycycline 100 mg was a significant factor for the halt of progression (odds ratio: 0.53, P = 0.0239) when both legs if affected at baseline were considered. These findings emphasize the importance of practicing hygiene in reducing the occurrence of ADL attacks and the benefits of doxycycline with regards to acute attacks and halt of progression.

INTRODUCTION

Lymphatic filariasis (LF) is an incapacitating infectious neglected tropical disease (NTD) caused by Wuchereria bancrofti, Brugia malayi, or Brugia timori parasites.1,2 Currently, 51.4 million people are estimated to be impacted by LF globally,1 with 40 million people reported to have LF-related morbidities: 25 million are men living with hydrocele, and 15 million are living with lymphedema (LE).2,3

Upper and lower limb LE, hydrocele, and acute episodes of adenolymphangitis (ADL) are common LF-related morbidities that are not only painful and disfiguring but also have been linked to a low quality of life (QoL). Breast, genital, and upper limb LE are less frequently observed clinical manifestations.3 Lymphatic filariasis-related LE is of progressive onset and may be accompanied by skin alterations such as thickening of the skin and formation of knobs, folds, and mossy lesions.4 The WHO Road Map for NTDs (2021–2030) is committed to eliminating LF as a public health problem and aligns with the United Nations Sustainable Development Goal of good health and well-being.5,6 The main interventions used to eliminate LF are administration of preventive chemotherapy using albendazole combined with ivermectin and/or diethylcarbamazine in mass drug administration (MDA) to interrupt transmission of the infection and morbidity management and disability prevention (MMDP) services specifically for those affected with LE and/or hydrocele.79 According to the latest report from the Ministry of Health, Tanzania has made significant progress in reducing the prevalence and intensity of NTDs in the past decade.9

So far, large surveys of LF morbidities have been performed in the six districts of the Dar es Salaam region in 201710 and in one district of the Lindi region in 2020,11 where 6,000 patients with hydrocele and 1,904 patients with LE were identified, respectively. Therefore, from these surveys and other methods of tracking cases, nearly 10,740 surgeries of hydrocele and hernia have been conducted between September 2008 and October 2023 through funding from different partners, including UKAID, CROWN Agents, END FUND, Centre for Neglected Tropical Diseases, and EQUINOR, etc. On the other hand, the provision of MMDP services for LE patients has been limited to a few areas of Tanzania, including the ancient Samaritan Lymphedema Clinic at the National Institute for Medical Research in Dar es Salaam. As in 2023, about 5,500 LE patients have been trained on the minimum essential package of care (Ministry of Health, unpublished report).11,12

The management of LE relies principally on nonpharmaceutical approaches (hygiene-based treatment, decongestive lymphatic therapy, decompression, bandaging, and physiotherapy.13 A combination of nonpharmaceutical and pharmacologic treatment with nonsteroidal anti-inflammatory drugs and selenium is also practiced but to a lesser extent.14,15 Hygiene-based management of LE focuses on cleaning the affected limbs, applying appropriate topical antibiotics and antifungals, exercising, elevating the limb, inspection for entry lesions, and wearing proper footwear to prevent infection that could lead to ADL attacks and result in severe, debilitating LE.16 In addition, hygiene-based treatment has been demonstrated to be helpful in slowing the progression of LE; however, in resource-limited settings, availability of essential materials necessary for limb care is a challenge. Furthermore, strict adherence to the prescribed procedures is difficult for the patients.17

Despite the global understanding of hygiene as a key component in managing LE, only a limited number of individuals affected by this condition have access to such care.7

Having a drug that targets the endosymbiotic bacterium Wolbachia (essential for the survival and reproduction of adult filarial worms) and that is macrofilaricidal, especially with a concurrent reduction of inflammatory angiopoietic factors, could significantly diminish the parasite reservoir and advance toward its ultimate elimination.18 Proof of concept for the use of doxycycline (C) 200 mg/day for 6 weeks as a female worm-sterilizing or “macrofilaricidal” therapy has been demonstrated in an extensive series of field trials.1925 Additionally, the efficacy of DOX 200 mg for 6 weeks for selective treatment of LE by reversing or stopping its progression in patients with stages 1–3, irrespective of active filarial infection, has been shown.26 Because there was a need to conduct similar studies in different epidemiological settings in other countries and with a larger sample size than in the earlier DOX trial in Ghana26 and elsewhere,2729 the current study was designed to be conducted in Tanzania.

The goal of the current study was to determine whether a 6-week course of DOX treatment, in addition to the essential package of care recommended by the WHO, would arrest or reverse the worsening of filarial LE among study participants in the Lindi and Pwani regions in Tanzania.

MATERIALS AND METHODS

Study sites.

The study was conducted in the Lindi and Pwani regions of Tanzania. Lindi is a coastal town located along the Indian Ocean in southeastern Tanzania. According to the 2022 population and housing census, the population of the region is 1,194,028.30 The region has a total of six district councils where LF is endemic (Supplemental Figure 1).30

The initial LF mapping in Lindi in 2001 using the immunochromatographic test (ICT) indicated an overall prevalence of 51.8% (National NTD Control Program, unpublished report). The MDA started in 2002. After 11 rounds, in 2015–2016, a sentinel site assessment survey, which covered all six districts of Lindi region, namely Lindi Urban, Lindi Rural, Ruangwa, Nachingwea, Liwale, and Kilwa, showed an LF prevalence of 4.7% by use of the filariasis test strip (FTS) (National NTD Control Program, unpublished data). The current randomized clinical trial (RCT) was conducted in Lindi in 19 (13.7%) urban, 17 (12.2%) semiurban, and 103 (74.1%) rural communities.

The Pwani region lies on the eastern part of Tanzania’s mainland. According to “The 2022 Population and Housing Census,” the region’s population is 2,024,947.30 The initial LF mapping in the Pwani region conducted from 1998 to 2001 using the ICT indicated a prevalence of 44.5%. The sentinel site assessment survey done from 2015 to 2017 by use of the FTS showed an overall prevalence in all eight districts, namely Bagamoyo, Chalinze, Kibaha, Kibaha Urban, Kisarawe, Mafia, Mkuranga, and Rufiji, of 2.3% (National NTD Control Program, unpublished data). The current RCT was conducted in five out of seven district councils (Kibaha, Kisarawe, Mlandizi, Chalinze, Kibiti) where LF is endemic (Supplemental Figure 2),30 and the surveyed wards were located in 3 (2.7%) semiurban and 107 (97.3%) rural settings.

Study population eligibility criteria and sampling procedures.

Public announcements were made in the villages to inform individuals with LF morbidities to gather at the nearest health facilities in their respective residence areas. Thereafter, they were given general health education about NTDs, particularly LF and interventions for its elimination as a public health problem. Individuals aged 14–65 years who showed interest in participating received an essential package of care for LE, as defined in the WHO guidelines, and were given further details about the RCT.4,7 All instructions on the use of the essential care package were communicated in Kiswahili, the national language.4,7 All interested individuals were screened for eligibility after signing the informed consent forms.

Inclusion criteria restricted enrollment to individuals with LE in at least one leg (based on the staging described by Dreyer et al.),31 aged between 14 and 65 years, and either male or nonpregnant, nonbreastfeeding females.26 Women of childbearing potential were required to use effective contraception. Other inclusion criteria included a body weight of ≥40 kg, residency in an area of endemicity for ≥2 years, ability to provide informed consent, and adherence to hygiene practices.

Exclusion criteria were absence of LE or presence of stage 7 LE, age <14 or >65 years, body weight <40 kg, pregnant or breastfeeding, lack of contraception use, hepatic or renal dysfunction, history of adverse reactions to the trial drug, significant medical or psychiatric disorders, photosensitivity reactions, and concurrent use of certain medications. The exclusion criteria based on laboratory values included a hemoglobin level of <8 g/dL, a neutrophil count of <1,100/mm3, a platelet count of <100,000/mm3, a creatinine level greater than two times the upper limit of normal, an aspartate aminotransferase (glutamic-oxaloacetic transaminase) level greater than two times the upper limit of normal, an alanine aminotransferase (glutamic-pyruvic transaminase) level greater than two times the upper limit of normal, a gamma-glutamyl transferase level greater than two times the upper limit of normal, and a positive urine pregnancy test for women.

Study design.

This study was a prospective, randomized, placebo-controlled, double-blind, parallel-group interventional phase II trial that included participants with LE stages 1–3 (group A). Four other studies with almost identical protocols and using the same drug supplies were carried out in parallel in Ghana, Mali, Sri Lanka, and India (see the other articles in this series).

Additionally, a smaller number of participants with LE stages 4–6 were included in a prospective, multinational, randomized, placebo-controlled, double-blind, parallel-group interventional pilot trial (group B). However, the current paper is only about the participants from group A. The results of group B will be published separately.

Interventions and randomization.

Eligible participants for group A were randomized into three different treatment groups: 1) DOX 200 mg/day for 6 weeks (to confirm the results from previous trials),18,26 2) DOX 100 mg/day for 6 weeks, and 3) placebo matching DOX for 6 weeks.

Every treatment was administered in addition to standardized and intensified hygiene measures. Additionally, the participants were encouraged to take part in the annual MDA during the trial period.

The DOX tablets, consisting of doxycycline hyclate, were produced by Remedica, Limassol, Cyprus. The manufacture of the placebo as well as supply, analysis, blistering, packaging, and distribution was undertaken by Piramal Healthcare Ltd., Morpeth, United Kingdom, a company with strong experience in good manufacturing practice production of clinical trial supplies, as described by Horton et al.7

Randomization lists were generated by the manufacturer of the study drugs (Piramal Healthcare Ltd.) by using block randomization. Trial participants, care providers, and outcome assessors were blinded to the trial drugs received by the participants.

Sample size estimation for group A (LE stages 1–3).

The hypothesis for the sample size calculation was that DOX is superior to placebo. The primary outcome was defined as lack of progression (worsening) of LE (stage reduction or same stage as baseline) at examination 24 months after the onset of treatment. DOX 200 mg/day was first to be tested for superiority to placebo. If the superiority of DOX 200 mg/day were confirmed, DOX 100 mg/day was to be subsequently tested for superiority to placebo. In case both treatment groups rejected their null hypothesis, testing for noninferiority of DOX 200 mg versus DOX 100 mg was planned. With this subsequent design, a two-sided α of 5% could be maintained for all three analyses. The estimates for progression were taken from the results of the previous study,26 where the participants in the DOX 200 mg group showed a progression in 4.9% of cases after 24 months whereas the placebo participants showed a progression in 55.6% of cases. Based on the assumption that the standardized and intensified hygiene measures in this trial would result in a stronger impact of this intervention in both treatment and placebo arms, a smaller difference between DOX and placebo was chosen to verify the added benefit of DOX. To account for this influence, the progression in the placebo group was assumed to be 25% instead of 55%. Based on these assumptions, there was a power of 95% for DOX 200 mg to show superiority to placebo and subsequently a power of 81% for DOX 100 mg versus placebo when 84 participants were included per treatment arm. With an estimated dropout rate of 30%, the final sample size was determined to be 120 participants per treatment arm.

Treatment and assessment of adverse events.

Prior to enrollment and at the start of treatment, the trial procedures and potential side effects of DOX were explained to the trial participants. Directly observed treatment was implemented, with daily tablet intake supervised by a research team.7 Adverse events (AEs) were assessed and described during the first 4 months after treatment onset using the following terms: occurrence of AE, intensity of AE (grade 0, none; grade 1, mild; grade 2, moderate; grade 3, severe), serious AE (SAE), relation to treatment (definite, probable, possible, remote, not related), and outcome of AE (restored, improved, unchanged, deteriorated, death, unknown, overcome by sequelae, and intervention). Serious adverse events were assessed for the whole trial period of 24 months and after awareness by the research team, directly reported to the Tanzania Medicines and Medical Devices Authority and to the National Health Research Ethics Committee. MedDRA version 23.1 was used for coding of AEs and SAEs.

Trial-specific measures.

Filarial LE patients were defined as people who had or had had nontraumatic progressive and evolving swelling of the lower limb(s) or leg(s), with nonfilarial causes ruled out as far as possible by a thorough medical examination.

LE staging.

Lymphedema-affected participants were selected based on the LE staging scale, which stages the legs from 1 to 7, as described by Dreyer et al.31 The trial team revisited study participants diagnosed with putative stage 1 LE early the next morning for confirmation that the swelling had disappeared overnight. Lymphedema staging was done during the screening, at baseline, and at 6-, 12-, 18-, and 24-month visits.

Clinical photography.

At baseline and at the 6-, 12-, 18-, and 24-month follow-up time points, digital clinical photographs of both legs of the trial participants were taken. The distance, lighting, and background were standardized for each participant, and every effort was made to ensure comparability. The photographs were stored as digital images.

Morbidity management and disability prevention.

Study participants were introduced to a program of cleaning the affected limbs based on the principles outlined in the booklet “New Hope for People with Lymphoedema.”32 Prior to screening and enrollment, all study participants were trained on how to use a standardized protocol of leg care, hygiene, and management that involved washing the limbs and the use of a diary for recording ADL attacks. The morbidity management program involved the following: cleaning of the affected leg(s) daily with soap and water, keeping the affected leg(s) dry, clipping the nails, applying topical antibacterial and antifungal creams to open sores, toe webs, nails, and sides of the feet every night, regular elevation of the affected leg when in a resting position, limb exercises as instructed, and encouraging and monitoring the use of appropriate footwear. Follow-ups and refresher training were offered to all trial participants at 4, 6, 12, 18, and 24 months after treatment. A questionnaire to assess leg care and hygiene was administered to each trial participant at baseline and at 4, 6, 12, 18, and 24 months after treatment.

Acute ADL assessment.

Questionnaires were carried out regarding previous experiences of ADL attacks, including swelling of the lymph nodes, feverishness, swelling of the legs, and the peeling off of the skin at the recession of the ADL attack. The questionnaire was administered at screening and baseline visits, during treatment, and every 2 months after treatment until 24 months to keep the recall bias as small as possible.

QoL assessments.

Quality of life assessments were performed at baseline and at 12 and 24 months using the 12-item WHO Disability Assessment Schedule (WHODAS 2.0) questionnaire.33 The WHODAS tools are in the English language, but they were administered in Kiswahili. Each of the 12 items can be answered with “none” (0), “mild” (1), “moderate” (2), “severe” (3), and “extreme” (4). The scores assigned to each item are summed at the end and converted into a metric ranging from 0 to 100, where 0 stands for “no disability” and 100 stands for “full disability.”

Circumference and volume measurement of legs.

A photo digital scanner tool known as the LymphaTech®7,26,34,35 and the classical tape measure tool were used to measure the limb volume and circumference of trial participants with LE. With the Lymphatech7 scanner tool, duplicate measurements were taken for each leg below the knee for volume and circumference. With the tape measure tool, duplicate leg circumference measurements were taken for each leg at 10 cm posterior to the tip of the large toe and at 12 cm, 20 cm, and 30 cm from the sole of the foot.26 Measurements using both the Lymphatech and tape measure methods were done at baseline and at 6, 12, 18, and 24 months after treatment onset.

Laboratory examinations.

Circulating filarial antigen (CFA) tests were done at the health facility with venous blood collected into ethylenediaminetetraacetic acid-containing monovettes using the Alere FTS (Alere Scarborough, Inc., Scarborough, ME). Briefly, 75 μL of whole blood sample was added to the sample application pad of the FTS, and results were read after 10 minutes by two independent readers. Sedgewick and Giemsa/filter microfilarial counts were done for participants who were FTS positive. Counting was done using 100 μL capillary blood and 3% acetic acid. The number of microfilariae (MF) counted was recordes as MF per milliliter (mL).36 These tests were repeated at 6, 12, and 24 months after the start of treatment.

To ensure participants’ safety at baseline, venipuncture was performed to assess platelet counts, neutrophil counts, and hemoglobin levels as well as transaminases, creatinine, and bilirubin. Transaminases were also checked before treatment number 22 and on the last day of treatment. Enrolled participants who had abnormal results before treatment number 22 had treatment stopped. Additionally, biochemistry tests were done for all participants at the end of the 6-week treatment.

Urine tests were done using Mission® (ACON Laboratories, Inc., San Diego, CA) urinalysis reagent strips. Furthermore, pregnancy tests were done for all females below 55 years of age during screening, at baseline, prior to the first treatment, and after 14, 28, and 42 days of treatment as well as at the 2-, 6-, 12-, and 24-month follow-up time points. The human chorionic gonadotropin-accurate Excel Biotech® (Thane, Maharashtra, India) pregnancy test kit was used to perform these tests at all time points.

Follow-ups.

Follow-ups were undertaken every 2 months until 24 months after treatment onset. Major follow-ups within the trial protocol were scheduled at 6, 12, 18, and 24 months, and all the baseline procedures/measurements were repeated at these time points.

STATISTICAL ANALYSES

REDCap® (Research Electronic Data Capture) was used to build up the database for this trial.37,38 All data were entered on-site using double data entry, whereas the data management was located at the University Hospital Bonn, Germany, where the Institute for Medical Biometry, Informatics and Epidemiology hosts the REDCap server.

The following algorithm for comparisons of LE staging in participants with either one or both legs affected was used: 1) if only one leg was LE affected, this leg was analyzed; 2) if both legs were affected, one leg with stage 1–3 and the other leg with stage 4–7, the leg with the lower stage was chosen for analysis; 3) if both legs were affected with stage 1–3, the leg with the higher stage was chosen for analysis; and 4) if both legs were affected equally (same stage), one of them was chosen randomly for analysis.

In consultation with the data safety and monitoring board of this trial, three analysis sets were established before unblinding: 1) the safety set, which includes all participants randomized; 2) the intention-to-treat (ITT) set, which includes all participants correctly randomized and present for the respective follow-ups; and 3) the per-protocol (PP) set, which includes all the participants that completed the treatment per protocol, which were seen within the window of the respective follow-up visit, and which did not have any medical condition or treatment that would exclude them from the group at that time point (e.g., pregnant women). Four PP sets were established for the three major follow-up visits at 6, 12, 18, and 24 months. The safety set was used for the analysis of AEs and SAEs only, the ITT set was used for all analyses, and the PP sets were used for the univariate and bivariate analyses of the main outcome parameter to confirm the ITT analysis. The decisions on the allocations to the various analysis sets can be seen in the flow chart in Figure 1B.

Figure 1.
Figure 1.
Figure 1.

(A) Flowchart: recruitment and randomization. Of the 420 eligible participants, 362 were separately randomized for group A (lymphedema ≤ stages 1–3) and 55 for group B (LE stages 4–6). During data cleaning, it became apparent that three of the participants should not have been included because of diuretic use. Because this exclusion criterion was not chosen for safety purposes but because of the influence of the drugs on the edema, it was decided in consultation with the data safety and monitoring board before unblinding of the study to exclude the data of these three participants from all but the safety analyses. (B) Flowchart (see next page): treatment allocation. All group A participants were randomized into one of the three treatment arms and followed up over a period of 24 months. The graph also depicts the number of participants belonging to the intention-to-treat (ITT) and/or per-protocol (PP) analysis sets and the reason for absence or exclusion from PP analysis. DOX = doxycycline; TB = tuberculosis; V2 = visit 2.

Citation: The American Journal of Tropical Medicine and Hygiene 111, 4_Suppl; 10.4269/ajtmh.24-0049

The statistical analyses were performed using SAS version 9.4 (SAS Institute, Inc., Cary, NC). Descriptive statistics of continuous variables are presented as the mean ± standard error of the mean for normally distributed variables and median (interquartile range) for nonnormally distributed variables. Categorical variables are presented as numbers and percentages. For continuous variables, an analysis of variance or Kruskal-Wallis test was used to show differences between treatment groups at baseline. For all categorical variables, the Fisher exact test was used when possible to assess treatment differences. The statistical significance was defined as P <0.05.

Mixed-effects models with binary outcomes for progression, improvement, and hygiene status were used (PROC GENMOD). Effects are presented as odds ratios (OR) with 95% CI. We used a linear mixed-effects model with WHODAS as the outcome and presented the estimate (β) with 95% CI. Predictor variables for the mixed-effects models included sex, age, weight, treatment group, and region, as well as the time-dependent variables of ADL during the previous 6 months, LE stage, hygiene status, rainy season during the previous 6 months, and other leg affected.

Based on a reviewer’s comment, a subanalysis was done with consideration of both legs of a patient if they were affected at baseline. For this subanalysis, the same models were used for progression and improvement, but in cases where both legs were affected at baseline, a nested effect was used to account for the dependency of both legs in one participant.

For analysis of time to first occurrence of ADL, we plotted the Kaplan-Maier curve and used the log rank test to show a difference between treatments. To represent the occurrence of all ADLs, we used the approach of Anderson and Gil,39,40 which generates a Cox model formulated in terms of increments in the number of events along the time line, and the effects are presented as hazard ratios (HR) with 95% CI.

RESULTS

Study participants (N = 562) were initially screened for participation in the RCT. A total of 420 study participants who met the eligibility criteria were then allocated into two groups (group A: LE stages 1–3; group B: LE stages 4–6) as illustrated in Figure 1A. In the following sections, only the results for group A are described and discussed. Results for the smaller group B will be published separately.

In group A (N = 362), study participants were randomly assigned to receive different doses of DOX (200 mg or 100 mg) or a placebo. The first participant was treated on September 25, 2018, and the 24-month follow-up of the last participant was carried out on September 24, 2021. The presence or absence of the participants during the respective follow-ups is shown in Figure 1B.

Baseline data (Table 1).

The mean age of study participants was 51.3 ± 0.6 years, with a higher mean age among study participants allocated to the placebo group (P = 0.0197). Female study participants comprised at least two-thirds (67.1%; n = 243) of the total study participants with no difference among the treatment groups.

Table 1

Basic information of the study participants and area

Parameter Unit DOX 200 mg DOX 100 mg Placebo Total P-Value
Sex
 Female N (%) 79 (64.8%) 80 (67.2%) 84 (69.4%) 243 (67.1%) 0.7347*
 Male N (%) 43 (35.2%) 39 (32.8%) 37 (30.6%) 119 (32.9%)
Age (years) N 122 119 121 362 0.0197
Mean ± SEM 51 ± 1 49.6 ± 1 53.3 ± 0.9 51.3 ± 0.6
95% CI of the mean [48.9; 53] [47.7; 51.5] [51.6; 55.1] [50.2; 52.4]
Min–max 15–65 18–65 20–65 15–65
Region Lindi 93 (76.2%) 89 (74.8%) 90 (74.4%) 272 (75.1%) 0.9526*
Pwani 29 (23.8%) 30 (25.2%) 31 (26.0%) 90 (24.9%)
Area Rural 109 (89.3%) 105 (88.2%) 101 (83.5%) 315 (87%) 0.3665*
Urban/semiurban 13 (10.7%) 14 (11.8%) 20 (16.5%) 47 (13%)
Body weight (kg) N 122 119 121 362 0.916
Mean ± SEM 60.2 ± 1.3 60.9 ± 1.3 60.8 ± 1.3 60.6 ± 0.7
95% CI of the mean [57.6; 62.8] [58.4; 63.4] [58.2; 63.4] [59.2; 62.1]
Min–max 40.5–111.5 40–110 40–104 40–111.5
Weight category
 ≤50 kg N (%) 29 (23.8%) 25 (21%) 27 (22.3%) 81 (22.4%) 0.8892*
 >50 kg N (%) 93 (76.2%) 94 (79%) 94 (77.7%) 281 (77.6%)
No. of years lived in area of endemicity N 122 119 121 362 0.4155
Mean ± SEM 44.7 ± 1.3 43.8 ± 1.4 46.4 ± 1.5 45 ± 0.8
95% CI of the mean [42.2; 47.3] [41; 46.5] [43.4; 49.4] [43.4; 46.5]
Min–max 3–65 3–65 3–65 3–65
Previous MDA rounds N 98 95 94 287 0.2385
Median, IQR 4; 3 3; 2 4; 2 4; 3
95% CI of the median [3; 4] [3; 4] [3; 4] [3; 4]
Min–max 1–15 1–15 1–15 1–15
Filarial test strip
 Negative N (%) 121 (99.2%) 118 (99.2%) 120 (99.2%) 359 (99.2%) 1.0*
 Positive N (%) 1 (0.8%) 1 (0.8%) 1 (0.8%) 3 (0.8%)
Microfilariae
 Negative N (%) 0 (0%) 1 (100%) 1 (100%) 2 (66.7%) 1.0*
 Positive N (%) 1 (100%) 0 (0%) 0 (0%) 1 (33.3%)

DOX = doxycycline; IQR = interquartile range; MDA = mass drug administration; Min–max = minimum–maximum; SEM = standard error of the mean.

Fishers’ exact test.

Analysis of variance.

Kruskal-Wallis test.

The geographic distribution of study participants indicated that more study participants were enrolled from the Lindi region (75.1%; n = 272) than from the Pwani region. Further stratification of study participants by residency areas showed that the majority (87%; n = 315) were from rural areas. In both regions and areas of residency, no differences were discerned regarding the distribution of participants among the treatment groups at study onset. Similarly, no disparities were observed among the three treatment groups with regard to baseline measures such as body weight, years of residency in areas of endemicity, and previous rounds of MDA. Remarkably, there were only three participants positive for FTS, and only one of those was MF positive.

Table 2 shows the baseline data for the trial-specific measures of LE staging, episodes of ADL, adherence to hygiene measures, and QoL. There was no difference between the randomized groups in relation to the numbers of years having LE, the number of affected legs, or the stage of both legs.

Table 2

Baseline data for trial-specific measures

Parameter Unit DOX 200 mg DOX 100 mg Placebo Total P-Value
No. of years having LE N 102 94 96 292 0.6424*
Median; IQR 26; 20 21.5; 23 25; 23 24.5; 23
95% CI of the median [24; 29] [19; 26] [20; 30] [21; 26]
Min–max 1–49 1–49 2–49 1–49
No. of legs affected
 Only one leg N (%) 83 (68%) 96 (80.7%) 92 (76%) 271 (74.9%) 0.0763
 Both legs N (%) 39 (32%) 23 (19.3%) 29 (24%) 91 (25.1%)
Both legs have the same stage
 No N (%) 10 (25.6%) 12 (52.2%) 16 (55.2%) 38 (41.8%) 0.0254
 Yes N (%) 29 (74.4%) 11 (47.8%) 13 (44.8%) 53 (58.2%)
LE staging of study leg
 1–Swelling is reversible N (%) 0 (0%) 2 (1.7%) 3 (2.5%) 5 (1.4%) 0.0323
 2–Swelling is not reversible N (%) 58 (47.5%) 67 (56.3%) 48 (39.7%) 173 (47.8%)
 3–Presence of shallow skin folds N (%) 64 (52.5%) 50 (42%) 70 (57.9%) 184 (50.8%)
LE staging of other leg
 1–Swelling is reversible N (%) 1 (0.8%) 2 (1.7) 1 (0.8) 4 (1.1) 0.1635
 2–Swelling is not reversible N (%) 16 (13.1%) 8 (6.7) 7 (5.8) 31 (8.6)
 3–Presence of shallow skin folds N (%) 18 (14.8%) 8 (6.7) 10 (8.3) 36 (9.9)
 4–Presence of skin knobs N (%) 0 (0%) 1 (0.8) 1 (0.8) 2 (0.6)
 5–Presence of deep skin folds N (%) 0 (0%) 1 (0.8) 1 (0.8) 2 (0.6)
 6–Presence of mossy lesions N (%) 4 (3.3%) 3 (2.5) 9 (7.4) 16 (4.4)
ADL attacks since:
 Missing answers N (%) 29 40 36 105 0.5977
 <1 year N (%) 2 (2.2%) 2 (2.5%) 1 (1.2%) 5 (1.9%)
 ≥1–5 years N (%) 10 (10.8%) 9 (11.4%) 8 (9.4%) 27 (10.5%)
 ≥5–10 years N (%) 6 (6.5%) 9 (11.4%) 15 (17.6%) 30 (11.7%)
 ≥10–15 years N (%) 11 (11.8%) 5(6.3%) 8 (9.4%) 24 (9.3%)
 ≥15–20 years N (%) 8 (8.6%) 9 (11.4%) 5 (5.9%) 22 (8.6%)
 ≥20 years N (%) 56 (60.2%) 45 (57%) 48 (56.5%) 149 (58%)
Last ADL attack (months before screening) N 97 95 95 287 0.0494*
Median, IQR 7; 11 13; 12 13; 12 13; 13
95% CI of the median [7; 13] [7; 14] [13; 15] [7; 13]
Min–max 1–52 1–160 1–170 1–170
Duration of last ADL attack (days) N 122 116 120 358 0.1832*
Median, IQR 4; 2 3; 2 4; 2 4; 2
95% CI of the median [4; 4] [3; 4] [3; 4] [3; 4]
Min–max 1–30 1–14 2–30 1–30
No. of attacks within the last year (only patients who had attacks) N 79 72 67 218 0.7273*
Median, IQR 2; 2 2; 2 2; 1 2; 2
95% CI of the median [2; 2] [1; 2] [1; 2] [2; 2]
Min–max 1–4 1–5 1–6 1–6
Overall hygiene: limb kept washed and clean
 Missing N (%) 10 12 15 37 0.3541
 No N (%) 4 (3.6%) 6 (5.6%) 2 (1.9%) 12 (3.7%)
 Yes N (%) 108 (96.4%) 101 (94.4%) 104 (98.1%) 313 (96.3%)
WHODAS 2.0 score N 119 116 121 356 0.3169§
Mean ± SEM 3.61 ± 0.47 3.01 ± 0.74 4.73 ± 1 3.79 ± 0.47
95% CI mean [2.31; 4.9] [1.55; 4.48] [2.76; 6.71] [2.87; 4.72]
Min–max 0–45.9 0–52.1 0–81.3 0–81.3

ADL = adenolymphangitis; DOX = doxycycline; IQR = interquartile range; LE = lymphedema; Min–max = minimum–maximum; SEM = standard error of the mean.

Kruskal-Wallis test.

Fishers’ exact test.

Chi-square test.

Analysis of variance.

Regarding the study leg (the leg that was chosen for all primary analyses), about half (50.8%; n = 184) of the study participants had the presence of shallow skin folds (stage 3), 47.8% (n = 173) had a swelling that was not reversible (stage 2), and only 1.5% (n = 5) had reversible swelling (stage 1). Despite the randomization of the trial participants, which was not done separately for the different stages, a slight imbalance was seen in the distribution of study leg LE stages (P = 0.0323), with more participants with stage 3 than with stage 1 or 2 in the placebo group (57.9%; n = 70) compared with the DOX 200 (52.5%; n = 64, P = 0.4398) and DOX 100 (42%; n = 50, P = 0.0199) groups. Additionally, a significant difference was found between the groups when looking at the participants in whom both legs were affected at baseline (P = 0.0254) with more participants in the DOX 200 group having the same stage.

More than three-quarters (79.0%; n = 257) of the study participants were able to recall their ADL history. There was a slight difference seen in the median number of months of the most recent ADL attacks between study participants assigned to different treatment groups (P = 0.0494). Study participants who were assigned to the DOX 200 group had the lowest median number of months since the most recent ADL attack, with 7 months, whereas those in the DOX 100 and placebo groups had a median of 13 months since the last ADL episode. There were no differences between the treatment groups in terms of occurrence of the first ADL attack, duration of the last attack, and the frequency of attacks in the previous year.

At baseline, after the participants received their first hygiene training during the screening visit, the majority of participants (96.3%; n = 313) ensured that their limbs were kept washed and clean. with no variation observed in terms of the randomized treatment groups (P = 0.3541).

For the WHODAS 2.0, the scores for each of the 12 items were summed and converted into a metric ranging from 1 to 100, where a low value indicates a good QoL (0 = no disability) and a high value indicates a bad QoL (100 = full disability).33 In this trial, most of the participants reported a very good QoL at baseline, with a mean of 3.79 ± 0.47 for all three groups, probably reflecting good coverage by the national MMDP program already before study onset.

Lymphedema progression and improvement.

Of the 316 participants present for the 24-month follow-up, overall only 27 (8.5%) showed progression (worsening), with 10/104 (9.6%) in the DOX 200 group and 8/105 (7.6%) in the DOX 100 group showing no differences in comparison with the 9/107 (8.4%) in the placebo group (P = 0.8133 and P = 1.0, respectively) (Figures 2 and 3A). On the other hand, 56/316 (17.7%) participants had an improvement at that time point, with 15/104 (14.4%) in the DOX 200 group, 16/105 (15.2%) in the DOX 100 group, and 25/107 (23.4%) in the placebo group (Figures 2 and 3B). Comparison of the DOX 200 or DOX 100 group to the placebo group did not reveal a statistical difference for this 24-month time point (P = 0.115 and P = 0.165, respectively). For the PP analysis of LE progression and improvement, see Supplemental Figure 3.

Figure 2.
Figure 2.

Sankey diagram of stage changes over the whole trial period. On the left side, stage changes are shown for all groups together; on the right side, they are shown separately for each treatment arm. The diagram represents the data for the intention-to-treat collective. BSL = baseline; DOX = doxycycline; LE = lymphedema; LTFU = lost to follow-up.

Citation: The American Journal of Tropical Medicine and Hygiene 111, 4_Suppl; 10.4269/ajtmh.24-0049

Figure 3.
Figure 3.
Figure 3.

(A) Stage progression and stage improvement. In the left diagram, the percentage as well as the number of participants who had progression (worsening) of their lymphedema (LE) is shown per follow-up and for each treatment separately; in the right diagram, the same is shown for improvement of LE. The diagrams represent the data of the intention-to-treat (ITT) collective. The percentages are always calculated for the total number of participants who were present at the particular follow-up and can therefore differ among the time points. (B) Forest plot: multivariable analysis for stage progression over time (including study leg only). The forest plot depicts the different covariables that were used in a multivariable logistic regression model (PROC GENMOD, SAS) for the outcome variable “progression.” The following baseline covariables were used for this model: sex (male/female), age, weight, years in area of endemicity, LE staging (stage 1 or 2/stage 3), treatment (DOX 200 mg/DOX 100 mg/placebo), and region (Pwani/Lindi). In addition, the following time-dependent covariables were used (with changes during the follow-up period taken into account): hygiene status (limb not clean/limb clean), acute adenolymphangitis (ADL) attack during the previous 6 months (no/yes), and more days of rainy season during the previous 6 months (yes/no). Effects are presented as odds ratios (OR) with 95% CI. (C) Forest plot (see next page): multivariable analysis for stage progression over time (including all affected legs at baseline). The forest plot depicts the different covariables that were used in a multivariable logistic regression model (PROC GENMOD, SAS) for the outcome variable “progression.” The following baseline covariables were used for this model: sex (male/female), age, weight, years in area of endemicity, LE staging (stage 1 or 2/stage 3), treatment (DOX 200 mg/DOX 100 mg/placebo), and region (Pwani/Lindi). In addition, the following time-dependent covariables were used (with changes during the follow-up period taken into account): hygiene status (limb not clean/limb clean), ADL attack during the previous 6 months (no/yes), and more days of rainy season during the previous 6 months (yes/no). Effects are presented as OR with 95% CI. (D) Forest plot: multivariable analysis for stage improvement over time (including study leg only). The forest plot depicts the different covariables that were used in a multivariable logistic regression model (PROC GENMOD, SAS) for the outcome variable “improvement.” The following baseline covariables were used for this model: sex (male/female), age, weight, years in area of endemicity, LE staging (stage 1 or 2/stage 3), treatment (DOX 200 mg/DOX 100 mg/placebo), and region (Pwani/Lindi). In addition, the following time-dependent covariables were used (with changes during the follow-up period taken into account): hygiene status (limb not clean/limb clean), ADL attack during the previous 6 months (no/yes), and more days of rainy season during the previous 6 months (yes/no). Effects are presented as OR with 95% CI. BSL = baseline; DOX = doxycycline; m = months.

Citation: The American Journal of Tropical Medicine and Hygiene 111, 4_Suppl; 10.4269/ajtmh.24-0049

The greatest improvement in LE occurred in year 1, whereas progression showed an increase with time, especially in those randomized to the DOX 100 and placebo groups (Figures 2 and 3A).

There was a slight imbalance at baseline, with a higher number of LE stage 3 study participants in the placebo group (P = 0.0323; Table 2) (P = 0.4398 for DOX 200 versus placebo, P = 0.0199 for DOX 100 versus placebo, and P = 0.1219 for DOX 200 versus DOX 100). Since stage 3 LE inherently has a greater chance to improve than stage 2 LE (as one would have to document for stage 1 that the legs have no swelling in the morning before the participants got up, which was not possible in this trial), this resulted in slightly more improvement (Figures 2 and 3A) in the placebo group, though the difference in improvement between the placebo group and the DOX 200 or DOX 100 group after 24 months was not statistically significant in the univariate analyses (P = 0.115 and P = 0.1646, respectively).

Multivariate analysis of LE stage progression over time (Figure 3B) indicated that women tended to have less progression than men (OR: 0.23, P = 0.0002).

In the multivariate subanalysis (Figure 3C), which included all affected legs at baseline (Supplemental Figure 4A), the primary finding of women having less progression was confirmed. In addition, the primary trend that participants with stage 1 and 2 LE were more likely to have disease progression than those with stage 3 was significant in this analysis (OR: 2.01, P = 0.0016). Even more interesting is that DOX 100 participants showed significantly less progression than placebo participants (OR: 0.53, P = 0.0239), whereas a trend towards the same effect was observed for DOX 200 participants (OR 0.66, P = 0.0877). The effect remained significant when both DOX groups were combined in the model (OR: 0.6, P = 0.0201). The fact that there were significantly more participants with LE stage 1 and 2 in the DOX 100 group than in the placebo group at baseline could have led to the assumption that there might be more disease progression in the DOX 100 group, but since the exact opposite is the case, this underscores a treatment effect.

The multivariate analysis for improvement (Figure 3D) revealed that participants with LE stage 1 or 2 were 93% less likely to improve compared with participants with LE stage 3 (OR: 0.07, P <0.0001). Additionally, it was found that the participants from the Pwani region were 49% less likely to improve than the participants from the Lindi region (OR: 0.51, P = 0.0402).

The multivariate subanalysis for improvement (Supplemental Figure 4B) confirmed the results from the primary analysis regarding the dependency on the region and the fact that stage 3 legs were more likely to improve than legs with stage 1 or 2. It was also found that legs with a stage higher than 3 were less likely to improve than those with stage 3 (OR: 0.51, P = 0.0338). In addition, there was a significant difference between the DOX 200 and placebo groups, with less improvement in the DOX 200 group (OR: 0.66, P = 0.0184), most likely influenced by the effect of more legs with stage 1 and 2 in the DOX 200 group.

Hygiene assessment.

The hygiene assessment started already at a very high level, with 96.3% of the participants already having washed and cleaned their lower limbs, with no differences among the three treatment arms (Table 2 and Figure 4A). In the DOX 200 and placebo groups, there was a decline in hygiene status at 6 months, followed by subsequent improvement until 18 months. A minor decline was observed in all groups between 18 and 24 months (Figure 4A). However, it is worth noting that only a small subset of participants across all groups did not have washed and clean legs already at baseline.

Figure 4.
Figure 4.

(A) Hygiene status: limb washed and clean. The graph shows the number of participants who had their limbs washed and clean at the six different time points of hygiene assessment. Dotted lines represent that not all participants were present for every assessment. (B) Forest plot: multivariable analysis for hygiene status over time. The forest plot depicts the different covariables that were used in a multivariable logistic regression model (PROC GENMOD, SAS) for the time-dependent outcome variable “hygiene status.” The following baseline covariables were used for this model: sex (male/female), age, weight, years in area of endemicity, lymphedema (LE) staging (stage 1 or 2/stage 3), treatment (DOX 200 mg/DOX 100 mg/placebo), and region (Pwani/Lindi). In addition, the following time-dependent covariables were used if the other leg was also affected (with changes during the follow-up period taken into account): acute adenolymphangitis (ADL) attack during the previous 6 months (no/yes) and more days of rainy season during the previous 6 months (yes/no). Effects are presented as odds ratios (OR) with 95% CI. BSL = baseline; DOX= doxycycline; m = months.

Citation: The American Journal of Tropical Medicine and Hygiene 111, 4_Suppl; 10.4269/ajtmh.24-0049

The multivariate analysis (Figure 4B) indicated that women were more likely to have better limb hygiene than men (OR: 2.94, P = 0.0021). Interestingly, participants who, by clinical history, experienced an ADL attack during the 6 months prior to the hygiene assessment showed a trend to a higher probability for a not clean and washed limb (OR: 1.99, P = 0.069).

Acute ADL attacks.

A Kaplan-Meier curve (Figure 5A) shows the time to the first ADL attack after start of treatment. There was no difference between the three treatment groups over the whole study period of 24 months (P = 0.11; log rank test). However, the median “survival time” (time until 50% of the participants experienced the first attack) was reached in the placebo group only at 24 months. Even more interesting, over the first 6 months after treatment, the DOX groups experienced significantly fewer ADL episodes than the placebo group (P = 0.0043 overall, P = 0.0323 for DOX 200 versus placebo, P = 0.0012 for DOX 100 versus placebo; log rank test).

Figure 5.
Figure 5.

Acute adenolymphangitis (ADL). (A) Time to first attack after treatment start. The Kaplan-Meier curve shows the time to occurrence of the first attack after treatment onset. The graph is divided by treatment groups. At 6 months after treatment onset, there was a significantly higher number of participants in the placebo group who had already experienced an ADL attack than in the two doxycycline groups (red circles). The median survival time, i.e., time until ≥50% experienced an acute attack, was reached in the placebo group only at 24 months after treatment onset (dotted line). (B) Count model—multivariable analysis of ADL attacks over time. To take not only the first but the occurrence of all ADL attacks during the follow-up period of 24 months into account, the approach of Anderson and Gill,35,36 which generates a Cox model formulated in terms of increments in the number of events along the time line, was used. The forest plot depicts the different covariables that were used in a Cox model for the time-dependent count variable “ADL attack.” The following baseline covariables were used for this model: sex (male/female), age, weight, years in area of endemicity, lymphedema (LE) staging (stage 1 or 2/stage 3), treatment (DOX 200 mg/DOX 100 mg/placebo), and region (Pwani/Lindi). In addition, the following time-dependent covariables were used if the other leg was also affected (taking changes during the follow-up period into account): hygiene status (limb not clean/limb clean) and the season (rainy season/dry season) at the time of assessment. The effects are presented as hazard ratios (HR) with 95% CI. BSL = baseline; DOX = doxycycline; m = months.

Citation: The American Journal of Tropical Medicine and Hygiene 111, 4_Suppl; 10.4269/ajtmh.24-0049

We analyzed the impact of several factors in relation to the occurrence and number of ADL attacks in a multivariate time-dependent Cox model, including sex, age, weight at baseline, years in the area of endemicity, treatment, LE staging, hygiene, seasonality, other leg affected, and region as covariables (Figure 5B). Strikingly, having the limb not clean increased the likelihood of an ADL attack by 2.38 (P = 0.0016) compared with having the limb clean. Interestingly, during the rainy season, participants were 2.01 (P <0.0001) times more likely to experience an ADL attack than in the dry season. Furthermore, participants with stage 1 or 2 had a lower chance for an ADL attack than participants with stage 3 (HR: 0.74; P = 0.038).

QoL (WHODAS 2.0).

For the WHODAS 2.0, the scores for each of the 12 items were summed and converted into a metric ranging from 1 to 100, where a low value indicates a good QoL (0 = no disability) and a high value indicates a bad QoL (100 = full disability).33 The participants in this trial had started already with a very good QoL, as indicated by a lower score. This low score was maintained over the whole study period without differences among the treatment groups.

Upon dissecting the effect of the aforementioned factors on the QoL in a multivariate linear time-dependent analysis, we found that having no ADL attack in the 6 months prior to the QoL questionnaire led to a better QoL (estimate: –17.16; P <0.0001) than did having an ADL attack previously. Quite remarkably, in cases where both legs were affected by the disease, the participants tended to have a higher QoL score (indicating a worse QoL) over time than the participants with only one leg affected (estimate: 2.61; P = 0.004). Additionally, each additional kilogram of weight led to a higher QoL score (estimate: 0.06; P = 0.0232).

Safety.

A total of 162 AEs were reported by 105 participants during treatment (Table 3) as well as in the period between treatment end and the 4-month follow-up (Supplemental Table 2), all of them graded with mild (grade 1, n = 144) or moderate (grade 2, n = 17) severity except for one SAE, which occurred during the 4-month period. Serious adverse events were documented and reported during the whole study period of 24 months. In total, five SAEs (deaths) occurred, all of them determined not to be related to treatment, as follows: 1) stroke in a 64-year-old man 4 months after treatment onset in the placebo group, 2) sepsis in a 32-year-old woman 10 months after treatment onset (8.5 months after treatment stopped) in the DOX 200 group, 3) unknown cause of death of a 52-year-old woman under chemotherapy for breast cancer at 18 months after treatment onset (16.5 months after treatment stopped) in the DOX 100 group, 4) unknown cause of death of a 55-year-old man at 18 months after treatment onset (16.5 months after treatment stopped) in the DOX 200 group, 5) stroke in a 57-year-old woman at 24 months after treatment onset (22.5 months after treatment stopped) in the placebo group.

Table 3

Most reported adverse events during treatment

Adverse Event No. (%) of Events Reported for Group Total
DOX 200 mg DOX 100 mg Placebo
Pyrexia 5 (38.5) 2 (15.4) 6 (46.2) 13
Headache 4 (36.4) 4 (36.4) 3 (27.3) 11
Increase in liver enzymes* 4 (36.4) 7 (63.6) 0 (0) 11
Vomiting 4 (44.4) 4 (44.4) 1 (11.1) 9
Abdominal discomfort/pain 3 (42.9) 3 (42.9) 1 (14.3) 7
Arthralgia 1 (25) 0 (0) 3 (75) 4
Diarrhea 2 (50) 1 (25) 1 (25) 4
Dizziness 1 (25) 3 (75) 0 (0) 4
Cough 2 (66.7) 0 (0) 1 (33.3) 3
Pain in extremity 0 (0) 1 (33.3) 2 (66.7) 3
Malaria 1 (33.3) 0 (0) 2 (66.7) 3
Nausea 1 (33.3) 1 (33.3) 1 (33.3) 3
Wound 0 (0) 2 (66.7) 1 (33.3) 3
Other 11 (45.8) 4 (16.7) 9 (37.5) 24
Total 39 (38.2) 32 (31.4) 31 (30.4) 102

DOX = doxycycline.

In one participant, all three enzymes (alanine transaminase [ALT], aspartate aminotransferase [AST], and gamma-glutamyl transferase [γGT]), in one participant, two enzymes (AST, ALT), and in the other participants, only one of the three enzymes measured were increased above the limit of 2 times the upper normal (AST [n = 1], ALT [n = 2], γGT [n = 6]), 35 participants did not have blood sampled at day 22 during treatment, 18 participants stopped treatment before or on day 22, and 17 participants refused to have blood sampled even after they were informed again about the safety reasons and decided to continue treatment without blood sampling. Fifty-eight participants did not have blood sampled at the end of treatment, 21 stopped treatment before the end of treatment, and 37 participants refused or were absent for blood sampling even after they were informed again about the safety reasons.

Other – occurrence <3 (i.e., asthenia, influenza, malaise, pruritus, burning sensation, chest pain, constipation, caries, dysuria, groin pain, hypoesthesia, leprosy, decrease in libido, lymphadenitis, lymphangitis, oral pain, peripheral swelling, rash, somnolence, urinary tract infection).

DISCUSSION

Overview of key results.

Our study aimed to determine whether a 6-week course of doxycycline 200 mg daily added to the WHO standard hygiene-based management regimen for filarial LE could effectively halt or reverse the progression of LE among people living in the areas of endemicity of the Lindi and Pwani regions in Tanzania. The study consisted of 362 participants between the ages of 15 and 65 years with a mean age of 51.3 years (median: 53 years) and a majority of women (67.1%). The principal findings were as follows. 1) By the end of the 2-year study, LE of the limb had progressed only in 8.5% of the patients compared with baseline. This underscores the effectiveness of the measures taken and the value of stringent follow-up. Lymphedema stages actually improved in 17.7% of participants and did not change in 73.8%. 2) In the primary analysis that included only one affected leg per participant, there were no significant differences among the treatment regimens (DOX 200, DOX 100, and placebo) in the outcomes of either “halted progression” or “stage improvement”; all effects were seen equally in the three treatment groups. 3) In a subanalysis which included all legs affected at baseline, LE was more likely to progress in the legs of participants from the placebo group than in the legs of participants from the DOX groups (significant for DOX 100 and a trend for DOX 200). 4) Although the study did not find significant differences in hygiene (assessed cleanliness) among the three treatment groups, it did observe that women had better limb hygiene than men. 5) During the first 6 months after treatment onset, the DOX groups experienced significantly fewer ADL episodes than the placebo group. The median time until 50% of participants experienced the first attack was reached only in the placebo group after 24 months. 6) Participants tended to have higher QoL scores (indicating a worse overall QoL) when they experienced an acute ADL episode in the 6 months prior to the questionnaire, when both legs were affected by the disease at baseline, or with each additional kilogram of body weight.

Doxycycline therapy outcome.

Several previous studies have shown that DOX is highly effective in the clearance of LF infections,21,25,4144 and a few have also demonstrated the effectiveness of the drug in reducing or halting the progression of LE.26,4547 The present study that monitored patients closely for 2 years after a 6-week course of DOX 200 mg, DOX 100 mg, or placebo failed to show a difference in the primary analysis that included only one affected leg per participant between these treatment groups in halting the progression of LE in patients. However, in a subanalysis that included all affected legs at baseline, participants from the DOX 100 group were significantly more likely to have a halt of progression than the placebo group. The DOX 200 group showed a trend in the same direction. This subanalysis was originally not planned as primary analysis and was done based on a reviewers’ comment. The outcome of the subanalysis will need further investigation, especially when the results from Tanzania are combined with those from four other studies.2729,48

Two explanations, both very important, likely contribute to these findings. The first is suggested by the remarkably low rate of LE progression seen not only in patients receiving just placebo (8.5%) but also in patients on DOX (either dose: 7% and 9%), different from earlier studies. This finding suggests that strict adherence to the hygiene protocol maintained in this study (which was more stringent than that in prior investigations of DOX versus placebo) alone might have been able to halt progression of the filarial lymphedema. Although the earlier placebo-controlled RCTs had included hygiene training at the beginning of the trials that was similar to standard MMDP practices, it was not as stringent as the rigorous training and retraining offered at baseline and at 4, 6, 12, 18, and 24 months in the present study. A second important and likely explanation for not finding all the expected differences in the DOX and placebo outcomes is that the previous studies took place 10–15 years earlier in areas that were then experiencing considerably more ongoing transmission of filarial infection and active incidence of disease; it may well be that the 6-week DOX treatment in those studies resulted in the killing of incoming larvae and developing adult worms that likely triggered lymphatic inflammation and worsened LE in these patients. By contrast, in the present study, very few patients were CFA positive (Supplemental Table 3), suggesting an epidemiologic situation much closer to interrupted transmission, where patients are no longer exposed continually to new infections. The absence of such stimuli might explain why, in the present study, DOX appeared to result in less benefit than in earlier studies.

Hygiene measures.

Our research findings also align with other studies that indicated the positive effects of hygiene, education, and self-care on limiting morbidity, reducing disability, and enhancing the QoL in affected individuals.4953 Having an unclean limb increased the risk of an ADL attack by a factor of 2.36 (P = 0.0016), consistent with the findings from a review on the impact of hygiene-based interventions.54 Moreover, it revealed that participants who reported having had an ADL attack within the 6 months prior to the hygiene assessment had a higher likelihood of having an unclean and unwashed limb (OR: 2.2, P = 0.0404), again in line with studies showing that participating in hygiene-based LE management was linked to a reduced incidence of ADL and a lower percentage of patients reporting at least one episode of ADL during follow-up.54 The importance of implementing an essential minimum package of self-care measures has also been highlighted in other studies demonstrating that basic LE management was associated with a reduction in ADL incidence.50,55,56 Clearly, there is a need for patients with LE to be informed about the MMDP services in their countries, even in situations where it is known that not all of those infected will consistently practice good hygiene measures.57

Acute ADL attacks.

Because of the potential for increased pain, discomfort, exacerbation of swelling, injury risk, compromised functionality, skin complications, and negative psychological impact, ADL attacks are a major concern for individuals with LF and LE.

In our study, we investigated the occurrence and management of ADL episodes among participants who received different treatments. During the initial 6 months after receiving treatment, there were significantly fewer participants in the two DOX treatment arms who reported a new ADL episode than in the placebo group (P = 0.0043). Other studies have also shown that supervised home care and regular clinic attendance are necessary to ensure clinical benefits such as reduced limb volume and fewer ADL attacks.5860

Earlier observations from a study carried out in the Rufiji district of southeastern Tanzania revealed a noteworthy pattern in the seasonal incidence of ADL, with an increase during the long rains that typically take place from March to May61 and again in August, after a second rainy season. These observations suggest a potential link between rainfall and ADL incidence,61 which could be confirmed by our study, where in the multivariate analysis, participants were 2.01 times more likely to experience an ADL attack during the rainy season than in the dry season (P <0.0001). These findings underscore the complexity of the triggers of ADL episodes and the need for further research to better understand and mitigate the factors contributing to their occurrence.

Quality of life.

Because there is as yet no LF-specific disability assessment tool to capture the unique challenges faced by these patients, we opted to use the WHODAS 2.0 assessment to measure QoL at baseline, 12 months, and 24 months, because it has been shown to be a generally valid and sensitive tool for assessing LF-related disability.62,63 Although some studies have reported that severity of disease, occurrence of acute episodes, and extent of lower limb involvement appear to have an appreciable impact on the overall well-being of patients with LE, we did not find significant reductions or changes in the QoL of our participants over the observation period of this study. Rather, we found mean QoL scores that remained relatively constant throughout the study duration (Figure 6A) and with no discernible differences when analyzed by gender, age, or LE stage, as previously reported.64,65 However, in line with other groups’ findings, there was a positive correlation between QoL and body weight, indicating that with an increase in weight there is a decrease in the lived QoL (estimate: 0.06; P = 0.0232).66 Even more importantly, it could be seen here also that an ADL episode during the previous 6 months had a negative impact on QoL (estimate: 17.16; P <0.0001), as was the case if both legs were affected at baseline (estimate: 2.61, P = 0.004). The reasons for the lack of significant differences in QoL across various demographic features of our study population could relate to the population’s specific cultural and social factors or to the technical tools used to investigate the issues. In either case, the burden of lymphatic disease on affected people and populations is so significant that it remains incumbent on research investigators to create the tools and strategies for care that are necessary to address such challenges more successfully in the future.

Figure 6.
Figure 6.

Quality of life. (A) WHODAS 2.0. The graph shows the mean and standard error of the mean of the WHODAS 2.0 score at the three different time points split between the treatment groups. Dashed lines between the scores indicate that not all participants completed the WHODAS 2.0 at each time point, but the mean represents all participants who were present at the respective follow-up visits. (B) Multivariable analysis for WHODAS 2.0 changes over time. A linear mixed-effects model was used with the WHODAS 2.0 score as the outcome. The forest plot depicts the different covariables that were used in the linear mixed-effects model. The following baseline covariables were used for this model: sex (male/female), age, weight, years in area of endemicity, lymphedema (LE) staging (stage 1 or 2/stage 3), treatment (DOX 200/DOX 100/placebo), and region (Pwani/Lindi). In addition, the following time-dependent co-variables were used if the other leg was also affected (with changes during the follow-up period taken into account): LE change (no change/progression/improvement), hygiene status (limb not clean/limb clean), and acute adenolymphagitis (ADL) attack during the previous 6 months (no/yes), The effects are presented as the estimate (β) and the 95% CI. BSL = baseline; DOX 200 = doxycycline 200 mg; DOX 100 = doxycycline 100 mg; 6m = 6 months.

Citation: The American Journal of Tropical Medicine and Hygiene 111, 4_Suppl; 10.4269/ajtmh.24-0049

Limitations of the study.

Randomization.

There was no separate randomization per LE stage planned for this study, which resulted in significantly more stage 3 participants in the placebo group than in the DOX 100 group. We adjusted for this effect by using both variables (staging and treatment) in the multivariate analyses.

Recall bias in ADL reporting.

One of the primary limitations of our study was the reliance on patient recall to report the occurrence of ADL episodes. This introduces a potential source of recall bias, as patients may not have accurately remembered or reported all ADL episodes they experienced during the study. Objective clinical examination during ADL attacks would have provided more accurate data.

Suitability of WHODAS tool.

The assessment of QoL using the WHODAS tool for tracking changes in disability over time in LE patients participating in community-based surveys might not be suitable for all epidemiological settings. This tool might not fully capture the challenges faced by individuals in regions where there is stigmatization and where social support is lacking. Patients in such settings might not openly declare their inability to cope with life because of fear or social pressure.

CONCLUSION

Our study, together with the other trials in this series, clearly shows the extent of improvement (including lack of disease progression) that can be achieved if a stringent hygiene protocol is applied to LE management. The study could also show a halt in progression by the use of DOX in addition to the stringent hygiene measures when both legs if affected at baseline were included in the analysis. In addition, the results of the study emphasize the potential of DOX as a valuable treatment option for LE to reduce ADL and highlight with the two favorable outcomes for DOX the importance of integrated care by combining it with specific hygiene measures. Addressing the challenges associated with MMDP programs through such integrated approaches is essential to improving patients’ clinical outcomes and the overall management of filarial LE.

Supplemental Materials

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ACKNOWLEDGMENTS

We are grateful to the German Federal Ministry of Education and Research (Bundesministerium fur Bildung und Forschung-BMBF) for funding this study through Research Networks for Health Innovations in Sub-Saharan Africa (RHISSA). We are thankful to the management of the National Institute for Medical Research (NIMR) for hosting the study as the sponsor and for their administrative role during the conduct of the study. Acknowledgments are extended to partner institutions in this multicountry RCT study: the study was jointly designed by a consortium comprised of the NIMR, the Kumasi Centre for Collaborative Research in Tropical Medicine (KCCR) in Ghana, the University of Buea (UoB) in Cameroon, the Medical Center of the Ludwig-Maximilians-University (LMU) in Germany, and the University Hospital Bonn (UB) in Germany. We are indebted to lymphedema patients from all communities in the Lindi and Pwani regions whose voluntary participation in this study has made it possible to report the findings. Special thanks are extended to the following groups at the NIMR: data clerks (the late Frank Ndosi, Dayana Nkoma, and John Maganga), drivers (Alex Mwakibinga and Lucas Charles), and finance cum administrators (Mposheleye Haile, Abel Mpendachalo, and Gracia Sanga) and the staff at study primary health facilities and regional referral hospitals (nurses, pharmacists, laboratory technologists, and leaders) in the Pwani and Lindi regions. Throughout the study, we were supported by the data safety and monitoring board, including Sabine Kläger, Martin Walker, Martin Grobusch, Billy Ngasala, and Mike Osei-Atweneboana. We express our sincere thanks for their valuable support. It was a great pleasure to work with the team from The Task Force for Global Health on this project, and we also thank the late Vasanthapuram Kumaraswami, Patrick J. Lammie, Mariana Stephens, Andrew Majewski, and Drew Deathe for their contributions, as well as Brian Plikaytis, Elianna Paljug, and Jayla Norman for sharing data analysis and visualization code. Finally, this study is dedicated to the late Mwelecele Ntuli Malecela, the first principal investigator of the study for Tanzania, cofounder of the TAKeOFF consortium, and past Director of the WHO Department of Control of Neglected Tropical Diseases.

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Author Notes

Financial support: The project on which this publication is based was funded by the German Federal Ministry of Education and Research (BMBF) in part under funding code FKZ01KA1611 and under agreement with Gesellschaft für Internationale Zusammenarbeit (GIZ) through agreement number 81206276 and project processing number 66.3010.7-002.21. The authors are responsible for the content of this publication. U. Klarmann-Schulz is a junior group leader funded by the German Center for Infection Research (TTU 09.703/09.715). I. Kroidl, P. J. Korir, and J. M. Kuehlwein were also partially funded by the German Center for Infection Research (I. Kroidl, TTU 03.817; J. M. Kuehlwein, TI 07.005; P. J. Korir, TTU 03.815). S. Wanji is a Senior Fellow Plus of EDCTP2 (TMA2019SFP-2814). S. M. Sullivan, E. A. Ottesen, C. Mackenzie, and J. Horton received financial support from the United States Agency for International Development (USAID) through its Neglected Tropical Diseases Program through their support of the Coalition for Operational Research on Neglected Tropical Diseases (COR-NTD) grant. COR-NTD is funded at The Task Force for Global Health primarily by the Bill & Melinda Gates Foundation and USAID. As host of the project, the National Institute for Medical Research (NIMR) cosupported the projects through their own contribution to the project.

Disclosure: This trial was approved by the Tanzanian National Health Research Ethics Committee (NatHREC) at the National Institute for Medical Research (NIMR/HQ/R.8a/Vol.IX/2693), the Tanzania Medicines and Medical Devices Authority (TFDA0017/CTR/0020/3), the Ethics Committee of the Medical Faculty of the Rheinische Friedrich-Wilhelms-University Bonn (359/17), and the Ethics Committee of the Ludwigs-Maximilians-University Munich, Munich, Germany (17-858). The study followed the principles of the Helsinki Declaration of 1964 and was registered under ISRCTN65756724. Permission to conduct the study at the two sites was sought from the President’s Office, Regional Administration and Local Government Tanzania (PO-RALG) at ministry, region, district, and community levels. Participants were educated and informed about the various procedures involved in screening and the trial’s overall purpose. All adult participants provided written consent by signature or thumbprint. Legal guardians signed consent forms for minors under 18 years old; in addition, competent minors signed assent forms.

Current contact information: Abdallah Ngenya, Winfrida John, Mathias Kamugisha, Dennis Moshi, Ndekya Oriyo, Max Demitrius, Yusuph Mgaya, John Ogondiek, Leonard Masagati, Wilfred Mandara, and Akili Kalinga, National Institute for Medical Research, Dar es Salaam, Tanzania, E-mails: abdallah.ngenya@nimr.or.tz, winfrida.matovelo@nimr.or.tz, mathias.kamugisha@nimr.or.tz, dennismoshi@gmail.com, ndekya.oriyo@nimr.or.tz, maxdemitrius1212@gmail.com, joseev88@gmail.com, jwilfredy@gmail.com, lmasagati@gmail.com, wilfred.mandara@nimr.or.tz, and akili.kalinga@nimr.or.tz. Ute Klarmann-Schulz, Institute for Medical Microbiology, Immunology and Parasitology, University Hospital Bonn, Bonn, Germany, German Center for Infection Research, partner site Bonn-Cologne, Bonn, Germany, and Institute for Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany, E-mail: ute.klarmann-schulz@uni-bonn.de. Patricia Jebett Korir and Janina M. Kuehlwein, Institute for Medical Microbiology, Immunology and Parasitology, University Hospital Bonn, Bonn, Germany, and German Center for Infection Research, partner site Bonn-Cologne, Bonn, Germany, E-mails: pkorir@uni-bonn.de and jkuehlwein@uni-bonn.de. Jennifer Nadal and Arcangelo Ricchiuto, Institute for Medical Microbiology, Immunology and Parasitology, University Hospital Bonn, Bonn, Germany, and Institute for Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany, E-mails: jennifer.nadal@imbie.uni-bonn.de and arcangelo.ricchiuto@ukb.uni-bonn.de. Sarah Mary Sullivan, Charles Mackenzie, and Eric A. Ottesen, Neglected Tropical Diseases Support Center, Task Force for Global Health, Decatur, GA, E-mails: ssullivan@taskforce.org, cmackenzie@taskforce.org, and eottesen@taskforce.org. Ruth Laizer, Kilimanjaro Clinical Research Institute, Moshi, Tanzania, E-mail: r.laizer@kcri.ac.tz. John Horton, Tropical Projects, Hitchin, United Kingdom, E-mail: hedgepigs@aol.com. Anja Feichtner and Inge Kroidl, Division of Infectious Diseases and Tropical Medicine, University Hospital Munich, Ludwig-Maximilians-University, Munich, Germany, and German Center for Infection Research, partner site Munich, Munich, Germany, E-mails: anja.feichtner@gmx.de and ikroidl@lrz.uni-muenchen.de. Thomas F. Marandu, University of Dar es Salaam–Mbeya College of Health and Allied Sciences, Mbeya, Tanzania, E-mail: marandutf@gmail.com. Angelika Kellings, Clinical Study Core Unit Bonn, Institute of Clinical Chemistry and Clinical Pharmacology, University Bonn, Bonn, Germany, E-mail: angelika.kellings@ukbonn.de. Maureen Mosoba, National Institute for Medical Research, Dar es Salaam, Tanzania, and Center for International Health, Ludwig-Maximilians-University, Munich, Germany, E-mail: gershomallianna@gmail.com. Sacha Horn, Division of Infectious Diseases and Tropical Medicine, University Hospital Munich, Ludwig-Maximilians-University, Munich, Germany, E-mail: horn.sacha@gmail.com. Kheri Kagya, Regional Medical Office, Lindi Municipal Council, Lindi Region, Tanzania, E-mail: kagyakheri@yahoo.com. Samuel Wanji, Department of Microbiology and Parasitology, University of Buea, Buea, Cameroon, E-mail: swanji@yahoo.fr. Linda Batsa Debrah, Kumasi Centre for Collaborative Research in Tropical Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana, Department of Clinical Microbiology, School of Medicine and Dentistry, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana, and German-West African Center for Global Health and Pandemic Prevention, partner site Kumasi, Kumasi, Ghana, E-mail: lindrousy@yahoo.com. Alexander Yaw Debrah, Kumasi Centre for Collaborative Research in Tropical Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana, German–West African Center for Global Health and Pandemic Prevention, partner site Kumasi, Kumasi, Ghana, and Faculty of Allied Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana, E-mail: yadebrah@yahoo.com. Upendo Mwingira, National Institute for Medical Research, Dar es Salaam, Tanzania, and RTI International, Washington, DC, E-mail: umwingira@rti.org. Achim Hoerauf, Institute for Medical Microbiology, Immunology and Parasitology, University Hospital Bonn, Bonn, Germany, German Center for Infection Research, partner site Bonn-Cologne, Bonn, Germany, and German–West African Center for Global Health and Pandemic Prevention, partner site Bonn, Bonn, Germany, E-mail: achim.hoerauf@ukbonn.de.

Address correspondence to Ute Klarmann-Schulz, Institute for Medical Microbiology, Immunology and Parasitology (IMMIP), University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany. E-mail: ute.klarmann-schulz@uni-bonn.de