TY - JOUR
T1 - An evidence-based algorithm for early prognosis of severe dengue in the outpatient setting
AU - Tuan, Nguyen Minh
AU - Nhan, Ho Thi
AU - Vinh Chau, Nguyen Van
AU - Hung, Nguyen Thanh
AU - Tuan, Ha Manh
AU - Van Tram, Ta
AU - Le Da Ha, Nguyen
AU - Loi, Phan
AU - Quang, Han Khoi
AU - Kien, Duong Thi Hue
AU - Chau, Tran Nguyen Bich
AU - Wills, Bridget
AU - Wolbers, Marcel
AU - Simmons, Cameron P.
PY - 2017
Y1 - 2017
N2 - Background. Early prediction of severe dengue could significantly assist patient triage and case management. Methods. We prospectively investigated 7563 children with ≤3 days of fever recruited in the outpatient departments of 6 hospitals in southern Vietnam between 2010 and 2013. The primary endpoint of interest was severe dengue (2009 World Health Organization Guidelines), and predefined risk variables were collected at the time of enrollment to enable prognostic model development. Results. The analysis population comprised 7544 patients, of whom 2060 (27.3%) had laboratory-confirmed dengue; nested among these were 117 (1.5%) severe cases. In the multivariate logistic model, a history of vomiting, lower platelet count, elevated aspartate aminotransferase (AST) level, positivity in the nonstructural protein 1 (NS1) rapid test, and viremia magnitude were all independently associated with severe dengue. The final prognostic model (Early Severe Dengue Identifier [ESDI]) included history of vomiting, platelet count, AST level. and NS1 rapid test status. Conclusions. The ESDI had acceptable performance features (area under the curve = 0.95, sensitivity 87% (95% confidence interval [CI], 80%-92%), specificity 88% (95% CI, 87%-89%), positive predictive value 10% (95% CI, 9%-12%), and negative predictive value of 99% (95% CI, 98%-100%) in the population of all 7563 enrolled children. A score chart, for routine clinical use, was derived from the prognostic model and could improve triage and management of children presenting with fever in dengue-endemic areas.
AB - Background. Early prediction of severe dengue could significantly assist patient triage and case management. Methods. We prospectively investigated 7563 children with ≤3 days of fever recruited in the outpatient departments of 6 hospitals in southern Vietnam between 2010 and 2013. The primary endpoint of interest was severe dengue (2009 World Health Organization Guidelines), and predefined risk variables were collected at the time of enrollment to enable prognostic model development. Results. The analysis population comprised 7544 patients, of whom 2060 (27.3%) had laboratory-confirmed dengue; nested among these were 117 (1.5%) severe cases. In the multivariate logistic model, a history of vomiting, lower platelet count, elevated aspartate aminotransferase (AST) level, positivity in the nonstructural protein 1 (NS1) rapid test, and viremia magnitude were all independently associated with severe dengue. The final prognostic model (Early Severe Dengue Identifier [ESDI]) included history of vomiting, platelet count, AST level. and NS1 rapid test status. Conclusions. The ESDI had acceptable performance features (area under the curve = 0.95, sensitivity 87% (95% confidence interval [CI], 80%-92%), specificity 88% (95% CI, 87%-89%), positive predictive value 10% (95% CI, 9%-12%), and negative predictive value of 99% (95% CI, 98%-100%) in the population of all 7563 enrolled children. A score chart, for routine clinical use, was derived from the prognostic model and could improve triage and management of children presenting with fever in dengue-endemic areas.
KW - Dengue
KW - Diagnosis
KW - Tropical infectious diseases
UR - http://www.scopus.com/inward/record.url?scp=85018181193&partnerID=8YFLogxK
U2 - 10.1093/cid/ciw863
DO - 10.1093/cid/ciw863
M3 - Article
AN - SCOPUS:85018181193
VL - 64
SP - 656
EP - 663
JO - Clinical Infectious Diseases
JF - Clinical Infectious Diseases
SN - 1058-4838
IS - 5
ER -