Predictors of Severe Strongyloidiasis and 30-Day Mortality in Thailand, 2009-2025

735 hospitalized patients with Strongyloides stercoralis infection were analyzed in a 16-year retrospective cohort study from a tertiary-care hospital in southern Thailand. The dataset identifies corticosteroid exposure as the strongest predictor of severe disease and bacteremia as a key driver of 30-day mortality. It was authored by Sorawit Chittrakarn and last updated in April 2026.

Use Cases

• Build predictive models for severe strongyloidiasis based on clinical predictors like corticosteroid exposure and eosinophilia.
• Analyze mortality risk factors for parasitic infections using variables such as age, National Early Warning Score, and bacteremia.
• Study the association between gram-negative bacteremia and complications in immunocompromised patients with strongyloidiasis.

Strengths

• Includes 735 patient records from a 16-year study period (2009-2025), providing longitudinal clinical data.
• Contains specific, statistically significant findings such as adjusted odds ratios for key predictors (e.g., corticosteroid exposure aOR 3.25).
• Focuses on a clearly defined outcome (30-day mortality) with multivariable analysis results included.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data reflects a single hospital in southern Thailand, which may limit geographic generalizability.

Provenance

Source

figshare

Collection Method

Retrospective cohort study of hospitalized patients with laboratory-confirmed infection.

Time Range

2009 to 2025

Freshness

Last updated 2026-04-20 17:58:51; freshness should be verified.

Geography

Southern Thailand (tertiary-care hospital)