Adult Dengue Patient Characteristics for Shock Syndrome Prediction, 2022-2023

From November 2022 to August 2023, a matched case-control study collected data on 448 adult dengue patients (112 with Dengue Shock Syndrome and 336 controls) hospitalized within the first four days of illness. The dataset, authored by Mai Vu Thi Thanh and shared under a CC-BY-4.0 license, likely contains patient characteristics and laboratory measurements used to develop a predictive scoring system. It is stored in a 9.5 KB XLS file.

Use Cases

• Developing predictive models for Dengue Shock Syndrome (DSS) based on hematocrit and platelet count dynamics.
• Validating the defined warning sign of a ≥5% hematocrit increase concurrent with a ≥50% platelet decrease.
• Testing the DSS scoring system's performance for patient risk stratification into low-, intermediate-, and high-risk groups.
• Analyzing the temporal relationship between laboratory warning signs and the onset of shock syndrome.

Strengths

• Dataset is based on a study of 448 patients, providing a specific sample size for analysis.
• Clear temporal coverage from November 2022 to August 2023.
• The study design is a matched case-control, with 112 DSS cases matched to 336 non-DSS controls.

Limitations

• Row count and column-level documentation are unknown, which limits suitability assessment.
• The dataset is very small at 9.5 KB, indicating limited scope and number of variables.
• Data may reflect geographic and temporal bias inherent to the single study and time period.

Provenance

Source

Mai Vu Thi Thanh via figshare

Collection Method

Matched case-control study conducted among hospitalized adult dengue patients.

Time Range

November 2022 to August 2023

Freshness

Last updated 2026-04-20 17:51:10; freshness should be verified.

Geography

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