Work

Association between hemoglobin glycation index and mortality in critically ill patients: a retrospective cohort study

Year: 2025

Type: article

Abstract: Glycemic variability is increasingly recognized as a critical factor influencing outcomes in intensive care, yet its prognostic role remains unclear. The Hemoglobin Glycation Index (HGI), which reflects individual glycemic variation, has not been thoroughly studied in critically ill populations. To evaluate the association between HGI and all-cause mortality in critically ill patients using data from a large intensive care unit (ICU) cohort. We conducted a retrospective cohort study using the MIMIC-IV database. The primary outcomes were 30-, 90-, and 365-day all-cause mortality; in-hospital mortality was secondary. Kaplan-Meier analysis, Cox regression, and restricted cubic spline (RCS) modeling were used to assess mortality risk across HGI levels. Propensity score matching (PSM) and subgroup analyses were performed to ensure robustness. Among 9,695 patients, those with low HGI (< − 0.40) had significantly higher mortality (P < 0.001). RCS analysis showed a nonlinear association between HGI and 30-day mortality. Higher HGI values were independently associated with reduced risk of death at all time points, with hazard ratios ranging from 0.43 to 0.76 (P < 0.001). These associations persisted after multivariable adjustment and PSM. Subgroup analyses showed consistent results across patient characteristics. Lower HGI values are associated with increased short- and long-term mortality in critically ill patients. HGI may serve as a valuable prognostic biomarker for risk stratification in ICU settings. This is the first large-scale retrospective cohort study to investigate the prognostic value of the HGI in critically ill patients. A nonlinear association was observed between HGI and short-term and long-term all-cause mortality. Lower HGI values were independently associated with increased 30-, 90-, 365-day, and in-hospital mortality, even after multivariate adjustment and propensity score matching. Subgroup analyses showed consistent associations across various clinical characteristics, supporting the generalizability of HGI as a mortality predictor. HGI may serve as a novel, accessible biomarker for individualized glycemic risk stratification in ICU settings.

Source: Journal of Health Population and Nutrition

DOI: 10.1186/s41043-025-01008-9

Authors: Liwei Pan, Fengfeng Lu, Bihuan Cheng, Wenwu Zhang, Benji Wang

Institutions: Wenzhou Medical University, Second Affiliated Hospital & Yuying Children's Hospital of Wenzhou Medical University

Language: English

Topic: Hyperglycemia and glycemic control in critically ill and hospitalized patients

Subfield: Endocrinology, Diabetes and Metabolism

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,790