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Establishment of SMS Dengue Severity Score

Authors: Sudhir, Bhandari; Govind, Rankawat; Barkha, Goyal; Anurag, Lohmror; Vishal, Gupta; Ajeet, Singh;

Establishment of SMS Dengue Severity Score

Abstract

Background: Dengue infection is a disease that progresses rapidly to life-threatening conditions. Our goal was to develop a practical scoring system based on clinical profiles and routine tests to predict the severity of infection. Methods: This cross-sectional observational study included 500 patients with dengue infection. Patient demographics, clinical symptoms, regular laboratory tests, and results were collected. Dengue infections are divided into three classes, depending on their severity: dengue fever (DF), dengue hemorrhagic fever (DHF), and dengue shock syndrome (DSS). Based on the total score, patients were divided into three severities. Results: Patients with DSS and DHF scored higher with worsening clinical features and routine laboratory tests compared to DF. Clinical predictors of severity include older age, increased white blood cell (WBC) count, increased hematocrit, increased prothrombin time, decreased platelet count, decreased blood pressure, presence of peri-gallbladder (GB) edema, third space loss, hepatomegaly, and other organ involvement. The severity range is 0–12, and the score is 0–3 for DF, 4–8 for DHF, and 9–12 for DSS. Based on the derived scores, patients were classified according to their original severity in 63% of cases. Conclusion: This dengue infection severity scores correctly classified patients according to their original severity grade of DF, DHF, or DSS. This scoring system helps to quickly assess dengue infections and start treatment according to the correct severity category.

Related Organizations
Keywords

Dengue, Cross-Sectional Studies, Humans, Severe Dengue, Severity of Illness Index

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Average
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