Association between a composite metabolic index and mortality in critically ill patients with pulmonary hypertension: a retrospective cohort study

X Xiao-Jun Xiang D Dong-Yu Ma M Meng-Yang Liu (Center for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University) L Li Ma X Xiao-Long Sun J Jian-Feng Li (Xiamen University , , ,) W Wen-Bo Zhang P Ping Xie (State Key Laboratory of Chemo and Biosensing, College of Chemistry and Chemical Engineering)

Abstract

Abstract Pulmonary hypertension (PH) is a heterogeneous condition with variable prognosis across World Health Organization (WHO) subtypes. The fasting blood glucose to high-density lipoprotein cholesterol (FBG/HDL-C) ratio has been suggested as a metabolic predictor of adverse outcomes in critically ill patients, but its prognostic value in PH remains unclear. This retrospective cohort included 281 ICU patients with pulmonary hypertension (PH) from MIMIC-IV (2008–2022). Patients were divided into tertiles based on ln(1 + FBG/HDL-C). The primary endpoint was 90-day all-cause mortality, which was assessed using Cox proportional hazards regression, with exploratory subgroup analyses by WHO PH groups. In fully adjusted models, patients in the highest tertile of ln(1 + FBG/HDL-C) had higher 90-day mortality than those in the lowest tertile (HR = 3.30, 95% CI: 1.82, 5.97; p  < 0.001). Elevated risk was observed across WHO PH Groups 1, 2, and 5, with the most statistically robust and clinically interpretable association in Group 2 (HR = 2.66, 95% CI: 1.40, 5.05; p  = 0.003). Elevated FBG/HDL-C ratio was independently associated with 90-day mortality, with the association in Group 2 being the most statistically stable and clinically interpretable.

Article Details

Volume / Issue Vol. 1, Issue 1
Published June 03, 2026
ISSN 2045-2322
Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (8)

X

Xiao-Jun Xiang

D

Dong-Yu Ma

M

Meng-Yang Liu

Center for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University

L

Li Ma

X

Xiao-Long Sun

J

Jian-Feng Li

Xiamen University , , ,

W

Wen-Bo Zhang

P

Ping Xie

State Key Laboratory of Chemo and Biosensing, College of Chemistry and Chemical Engineering