Burn Sepsis Biomarker Trajectories and Phenotypes from a 712-Patient ICU Cohort

A retrospective cohort of 712 adult patients with burn sepsis admitted to a regional ICU between 2022 and 2025. The dataset includes longitudinal measurements of 17 biomarkers across nutrition, immunity, and inflammation at five time points, used to model survival trajectories and identify patient phenotypes. It was created by Pei Xu and last updated in April 2026.

Use Cases

• Predicting 21-day mortality in burn sepsis patients based on longitudinal biomarker trajectories.
• Identifying high-risk and low-risk patient phenotypes using growth mixture modeling on integrated albumin, interleukin-6, and immunoglobulin G data.
• Assessing the prognostic value of baseline nutritional and inflammatory markers via survival analysis.
• Studying the dynamic interplay of catabolism, immune paralysis, and inflammation in critical illness outcomes.

Strengths

• Includes 712 patient records with a defined 21-day mortality outcome (17.9%).
• Longitudinal design with 17 biomarkers measured at five specific time points (days 1, 3, 7, 14, 21).
• Analysis identifies two distinct phenotypes with significantly different mortality rates (15.7% vs. 8.8%).

Limitations

• Row count and column-level documentation are unknown, requiring manual inspection after download.
• The dataset is very small (23.6 KB), indicating limited scope, likely containing summary or analysis results rather than raw patient-level data.
• Data may reflect bias inherent to a single regional burn ICU's patient population and practices.

Provenance

Source

figshare, author Pei Xu.

Collection Method

Retrospective cohort study from a regional burn ICU.

Time Range

2022–2025.

Freshness

Last updated 2026-04-16 05:14:50.

Geography

Regional burn ICU (location unspecified).