Data Sheet 1_Remnant cholesterol inflammation index as a predictor of mortality in patient

A cohort of 1,055 patients with acute decompensated heart failure (ADHF) enrolled in Jiangxi, China between 2018 and 2024. The dataset was used to investigate the association between the novel Remnant Cholesterol Inflammation Index (RCII) biomarker and 30-day mortality, recording 85 death events (8.06%). The study employed multivariable Cox regression, restricted cubic spline, and mediation analyses to establish RCII as a predictor.

Use Cases

• Predicting short-term mortality in heart failure patients based on the Remnant Cholesterol Inflammation Index (RCII).
• Evaluating the incremental predictive value of novel composite biomarkers over traditional lipid parameters.
• Analyzing dose-response relationships between biomarker levels and clinical outcomes using restricted cubic spline methods.
• Investigating potential mediating effects of clinical variables like albumin on biomarker-mortality associations.

Strengths

• Dataset contains 1,055 patient records from a defined cohort (Jiangxi-ADHF II).
• Study includes a 30-day follow-up period with 85 recorded mortality events (8.06%).
• Analysis employed multiple statistical methods (Cox regression, restricted cubic spline, mediation) with reported performance metrics (C-index improvement from 0.85 to 0.87).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the underlying raw data is unknown, which may limit suitability assessment.
• Data reflects geographic bias inherent to a single-center cohort from Jiangxi, China.

Provenance

Source

figshare, authored by Guoan Jian.

Collection Method

Clinical cohort study of patients with acute decompensated heart failure.

Time Range

2018–2024

Freshness

Last updated 2026-04-23 04:21:58; freshness should be verified.

Geography

Jiangxi, China