Table 1_Remnant cholesterol inflammation index as a predictor of mortality in patients wit

The Jiangxi-ADHF II cohort contains data from 1,055 patients with acute decompensated heart failure (ADHF) enrolled between 2018 and 2024. The dataset was used by Guoan Jian to investigate the Remnant Cholesterol Inflammation Index (RCII) as a predictor of 30-day mortality. The study recorded 85 death events (8.06%) during the 30-day follow-up.

Use Cases

• Predicting short-term mortality in heart failure patients based on the novel RCII biomarker.
• Evaluating the incremental predictive value of composite biomarkers over traditional lipid parameters.
• Conducting mediation analysis to explore biological pathways, such as the role of albumin, linking biomarkers to outcomes.
• Building baseline risk models for acute decompensated heart failure and testing the addition of new prognostic indicators.

Strengths

• Includes 1,055 patient records from a defined cohort (Jiangxi-ADHF II) with a specific enrollment period (2018–2024).
• Focuses on a novel composite biomarker (RCII) with demonstrated incremental predictive value, improving a model's C-index from 0.85 to 0.87.
• Study design includes multivariable adjustment, restricted cubic spline analysis, and mediation analysis, suggesting a structured analytical approach.

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 bias inherent to the single-province (Jiangxi, China) cohort.

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 04:21:59; freshness should be verified.

Geography

Jiangxi, China