HCHR Biomarker and 28-Day Mortality in Sepsis Patients, 2015-2025

Yidong Chen's dataset contains clinical data for 1,069 sepsis patients admitted to the ICU of Affiliated Jinhua Hospital, Zhejiang University School of Medicine between May 2015 and March 2025. It was used to evaluate the high-sensitivity C-reactive protein-to-high-density lipoprotein cholesterol ratio (HCHR) as a predictor of 28-day all-cause mortality. The data was last updated on March 17, 2026.

Use Cases

• Train a mortality prediction model based on the composite HCHR biomarker.
• Validate the prognostic performance of inflammatory-metabolic biomarkers in sepsis.
• Conduct subgroup analysis for patients aged 65+ or with hypertension, as indicated in the study results.
• Benchmark the discriminative performance (AUC) of HCHR against other biomarkers like hs-CRP or HDL-C.

Strengths

• Data covers 1,069 sepsis patients, providing a substantial cohort for analysis.
• Study includes internal validation using 5-fold cross-validation and bootstrap optimism correction.
• Dataset is openly licensed under CC-BY-4.0, facilitating reuse.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect geographic and institutional bias inherent to a single hospital's ICU.

Provenance

Source

Affiliated Jinhua Hospital, Zhejiang University School of Medicine.

Collection Method

Retrospective cohort study of patient records.

Time Range

May 2015 to March 2025.

Freshness

Last updated 2026-03-17 13:06:52; freshness should be verified.

Geography

Patients admitted to a single ICU in Jinhua, China.