J Pediatr Infect Dis 2022; 17(03): 119-125
DOI: 10.1055/s-0042-1745838
Original Article

Warning Signs in Predicting Severe Pediatric Dengue Infection

Andry Juliansen
1   Department of Pediatric, Faculty of Medicine, Universitas Pelita Harapan, Karawaci, Tangerang, Indonesia
,
2   Faculty of Medicine, Universitas Pelita Harapan, Karawaci, Tangerang, Indonesia
,
Charista L. Budiputri
2   Faculty of Medicine, Universitas Pelita Harapan, Karawaci, Tangerang, Indonesia
,
Fellisa Meliani
2   Faculty of Medicine, Universitas Pelita Harapan, Karawaci, Tangerang, Indonesia
,
Michelle P. Muljono
2   Faculty of Medicine, Universitas Pelita Harapan, Karawaci, Tangerang, Indonesia
,
Shally Chandra
2   Faculty of Medicine, Universitas Pelita Harapan, Karawaci, Tangerang, Indonesia
,
Gilbert S. Octavius
2   Faculty of Medicine, Universitas Pelita Harapan, Karawaci, Tangerang, Indonesia
› Institutsangaben

Funding None.
Preview

Abstract

Objective The uncertainty of dengue's progression from infection to its severe form represents a major health care challenge, especially in children. Clinical identification of impending clinical manifestations of severe dengue (SD), along with proper and immediate management, is crucial. Thus, this study assesses the ability of warning signs to predict SD infection in pediatric patients.

Methods This cross-sectional study utilized purposive sampling using medical records from January 2015 to December 2020. Children aged 0 to 18 years diagnosed with dengue fever and SD according to the World Health Organization's 2009 criteria were included.

Discussion Multivariate analysis revealed that abdominal pain (odds ratio [OR]: 16.34; 95% confidence interval [CI]: 3.78–70.64; p < 0.001), fluid accumulation (OR: 10.51, 95% CI: 1.17–94.3; p = 0.036), mucosal bleeding (OR: 4.77; 95% CI: 1.27–17.91; p = 0.021), lethargy (OR: 94.37; 95% CI: 4.92–180.79; p = 0.003), hepatomegaly (OR: 17.57; 95% CI: 2.14–144.13; p = 0.008), and increased hematocrit concurrent with a rapid decrease in platelets (OR: 6.89; 95% CI: 1.79–26.51, p = 0.005) were associated with SD infection, with a high quality of discrimination (area under the curve [AUC] = 0.96) and a high quality of fit (p = 0.73). Receiver operating characteristic analysis demonstrated that 1.5 warning signs was the optimal cut-off for predicting SD infection, with a sensitivity of 90.9 and a specificity of 89.8%.

Conclusion All six warning signs were significantly associated with SD infection. The optimal cut-off for predicting SD was 1.5 warning signs.

Authors' Contributions

Conceptualization: A.J. and G.S.O.


Methodology: R.S.H. and G.S.O.


Formal analysis, investigation, data curation: R.S.H., C.L.B., F.M., M.P.M., and S.C.


Supervision: A.J.


Writing—original draft: A.J., R.S.H., C.L.B., F.M., M.P.M., S.C., and G.S.O.


Writing—review and editing: A.J., R.S.H., G.S.O.




Publikationsverlauf

Eingereicht: 22. Dezember 2021

Angenommen: 24. Februar 2022

Artikel online veröffentlicht:
30. Mai 2022

© 2022. Thieme. All rights reserved.

Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany