Risk and mediation analyses of hemoglobin glycation index and survival prognosis in patients with sepsis

• DOI: 10.1007/s10238-024-01450-9
• Publication Date: 2024-08-07T10:07:19Z
• Authors: Aifeng He; Juanli Liu; Jinxin Qiu; Xiaojie Zhu; Lulu Zhang; Leiming Xu; Jianyong Xu
• Keywords: Hematology

An increasing number of studies have reported the close relation hemoglobin glycation index (HGI) with metabolism, inflammation, and disease prognosis. However, prognostic relationship between HGI patients sepsis remains unclear. Thus, this study aimed to analyze association all-cause mortality in using data from MIMIC-IV database. In study, 2605 were retrospectively analyzed. The linear regression equation was established by incorporating glycated (HbA1c) fasting plasma glucose levels. Subsequently, calculated based on difference predicted observed HbA1c Furthermore, divided into following three groups X-tile software: Q1 (HGI ≤ − 0.50%), Q2 (− 0.49% 1.18%), Q3 ≥ 1.19%). Kaplan–Meier survival curves further plotted differences 28-day 365-day among these groups. Multivariate corrected Cox proportional risk model restricted cubic spline (RCS) used. Lastly, mediation analysis performed assess factors through which affects This included sepsis, rates 19.7% 38.9%, respectively. group had highest at 28 days (HR = 2.55, 95% CI: 1.89–3.44, p < 0.001) 365 1.59, 1.29–1.97, 0.001). fully adjusted multivariate hazards model, still displayed 2.02, 1.45–2.80, 1.28, 1.08–1.56, RCS revealed that positively associated adverse clinical outcomes. Finally, effect demonstrated might influence patient prognosis via multiple indicators related SOFA SAPS II scores. There a significant higher values death. Therefore, can be used as potential indicator death sepsis.