World Health Organization, 2018. Dengue and Severe Dengue. Available at: http://www.who.int/mediacentre/factsheets/fs117/en/. Accessed January 27, 2017.
Bhatt S et al. 2013. The global distribution and burden of dengue. Nature 496: 504–507.
Brady OJ, Gething PW, Bhatt S, Messina JP, Brownstein JS, Hoen AG, Moyes CL, Farlow AW, Scott TW, Hay SI, 2012. Refining the global spatial limits of dengue virus transmission by evidence-based consensus. PLoS Negl Trop Dis 6: e1760.
Suaya JA et al. 2009. Cost of dengue cases in eight countries in the Americas and Asia: a prospective study. Am J Trop Med Hyg 80: 846–855.
Yacoub S, Wills B, 2014. Predicting outcome from dengue. BMC Med 12: 147.
Mallhi TH, Khan AH, Adnan AS, Sarriff A, Khan YH, Jummaat F, 2015. Clinico-laboratory spectrum of dengue viral infection and risk factors associated with dengue hemorrhagic fever: a retrospective study. BMC Infect Dis 15: 399.
World Health Organization, 2012. Handbook for Clinical Management of Dengue. Available at: http://www.wpro.who.int/mvp/documents/handbook_for_clinical_management_of_dengue.pdf. Accessed January 27, 2017.
Chi-Mei Medical Center, 2018. Introduction. Available at: http://www.chimei.org.tw/index_c.htm. Accessed January 28, 2017.
Chung MH, Huang CC, Vong SC, Yang TM, Chen KT, Lin HJ, Chen JH, Su SB, Guo HR, Hsu CC, 2014. Geriatric fever score: a new decision rule for geriatric care. PLoS One 9: e110927.
Huang CC, Kuo SC, Chien TW, Lin HJ, Guo HR, Chen WL, Chen JH, Chang SH, Su SB, 2013. Predicting the hyperglycemic crisis death (PHD) score: a new decision rule for emergency and critical care. Am J Emerg Med 31: 830–834.
Chung MH, Chu FY, Yang TM, Lin HJ, Chen JH, Guo HR, Vong SC, Su SB, Huang CC, Hsu CC, 2015. Hypotension, bedridden, leukocytosis, thrombocytopenia and elevated serum creatinine predict mortality in geriatric patients with fever. Geriatr Gerontol Int 15: 834–849.
Kalayanarooj S et al. 1997. Early clinical and laboratory indicators of acute dengue illness. J Infect Dis 176: 313–321.
Srikiatkhachorn A et al. 2007. Natural history of plasma leakage in dengue hemorrhagic fever: a serial ultrasonographic study. Pediatr Infect Dis J 26: 283–290.
Nimmannitya S, Halstead SB, Cohen SN, Margiotta MR, 1969. Dengue and chikungunya virus infection in man in Thailand, 1962–1964. I. Observations on hospitalized patients with hemorrhagic fever. Am J Trop Med Hyg 18: 954–971.
Tanner L et al. 2008. Decision tree algorithms predict the diagnosis and outcome of dengue fever in the early phase of illness. PLoS Negl Trop Dis 2: e196.
Lee VJ, Lye DC, Sun Y, Leo YS, 2009. Decision tree algorithm in deciding hospitalization for adult patients with dengue haemorrhagic fever in Singapore. Trop Med Int Health 14: 1154–1159.
Thein TL, Leo YS, Lee VJ, Sun Y, Lye DC, 2011. Validation of probability equation and decision tree in predicting subsequent dengue hemorrhagic fever in adult dengue inpatients in Singapore. Am J Trop Med Hyg 85: 942–945.
Huy NT et al. 2013. Development of clinical decision rules to predict recurrent shock in dengue. Crit Care 17: R280.
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The management of dengue fever (DF) has been suggested to be categorized into decision groups A, B, and C; however, its usefulness in predicting mortality is still unclear, and hence we conducted this study to clarify this issue. We conducted a study by recruiting 2,358 patients with DF from the 2015 outbreak in the Chi-Mei Medical Center. Demographic data, vital signs, clinical symptoms and signs, coexisting morbidities, laboratory data, decision groups categorized according to World Health Organization for clinical management of dengue in 2012, and 30-day mortality rates were included for analysis. The overall 30-day mortality rate was 1.4%. The 30-day mortality rates in decision groups A, B, and C were 0%, 0.5%, and 46.2%, respectively. Compared with Group A, there was a higher mortality risk in Group C (odds ratio [OR]: 1,480, 95% confidence interval [CI]: 195–11,200). The area under the curve of the variable of Group C was excellent (OR: 0.92, 95% CI: 0.85–0.99). The sensitivity, specificity, positive predictive value, and negative predictive value for predicting 30-day mortality in Group C were 88.2%, 98.5%, 46.2%, and 99.8%, respectively. This study showed that decision Group C has a good predictive value for 30-day mortality. Further studies including validation in other nations are warranted.
Financial support: Grant CMFHR10611 was received from Chi-Mei Medical Center.
Ethics approval and consent to participate: This study was approved by the institutional review board at CMMC and strictly conducted according to the Declaration of Helsinki. All data were anonymized. The informed consent of the participants was waived because of the retrospective design of the study.
Authors’ addresses: Wei-Ta Huang, Department of Emergency Medicine, Chi-Mei Medical Center, Liouying, Tainan, Taiwan, E-mail: ahdar0213@yahoo.com.tw. Chien-Chin Hsu, Hung-Jung Lin, and Chien-Cheng Huang, Department of Emergency Medicine, Chi-Mei Medical Center, Tainan, Taiwan, E-mails: nych2525@gmail.com, hjlin52@gmail.com, and chienchenghuang@yahoo.com.tw. Shih-Bin Su, Department of Occupational Medicine, Chi-Mei Medical Center, Tainan, Taiwan, E-mail: shihbin.su@msa.hinet.net.
These authors contributed equally to this work.