ArticleClinical and experimental medicine2024
Risk and mediation analyses of hemoglobin glycation index and survival prognosis in patients with sepsis.
Article in Clinical and experimental medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Development and external validation of the HCH and HPMS prognostic indices for sepsis: a retrospective model development study using a Multi-Objective Non-Newtonian Fluid optimization algorithm.BMC medical informatics and decision making · 2026Article
- Hemoglobin glycation index correlates with the prognoses of critically ill patients with hyperlipidemia: a retrospective cohort study from the MIMIC-IV database.BMC endocrine disorders · 2026Article
- The value of NLRP, PCT, and HBP for sepsis-associated acute kidney injury and the effect of anti-inflammatory drugs.Medicine · 2026Article
- Sex-specific in the nonlinear associations of hemoglobin glycation index and all-cause mortality in the general US adult population: results from NHANES 1999-2018.Nutrition & metabolism · 2026Article
- Hemoglobin glycation index and mortality risk in severe community-acquired pneumonia: a retrospective study.Journal of thoracic disease · 2026Article
- Association between hemoglobin glycation index and mortality in critically ill patients with chronic obstructive pulmonary disease: a retrospective cohort study.European journal of medical research · 2026Article
- Hemoglobin glycation index and short-term mortality in sepsis: a retrospective cohort study with external validation.Frontiers in medicine · 2026Article
- Association between hemoglobin glycation index and mortality in surgical ICU patients.Scientific reports · 2025Article
- Dynamic HGI trajectories and their impact on survival in patients with sepsis: a machine learning prognostic model.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2025Article
- Association between hemoglobin glycation index and mortality in critically ill patients: a retrospective cohort study.Journal of health, population, and nutrition · 2025Article
- Impact of hemoglobin glycation index on prognosis in critical patients with acute ischemic stroke: A retrospective cohort study using MIMIC-IV 2.2 database.Scientific reports · 2025Article
- Interpretable machine learning model for predicting delirium in patients with sepsis: a study based on the MIMIC data.BMC infectious diseases · 2025Article
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7 authors.
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Abstract
An increasing number of studies have reported the close relation of the hemoglobin glycation index (HGI) with metabolism, inflammation, and disease prognosis. However, the prognostic relationship between the HGI and patients with sepsis remains unclear. Thus, this study aimed to analyze the association between the HGI and all-cause mortality in patients with sepsis using data from the MIMIC-IV database. In this study, 2605 patients with sepsis were retrospectively analyzed. The linear regression equation was established by incorporating glycated hemoglobin (HbA1c) and fasting plasma glucose levels. Subsequently, the HGI was calculated based on the difference between the predicted and observed HbA1c levels. Furthermore, the HGI was divided into the following three groups using X-tile software: Q1 (HGI ≤ - 0.50%), Q2 (- 0.49% ≤ HGI ≤ 1.18%), and Q3 (HGI ≥ 1.19%). Kaplan-Meier survival curves were further plotted to analyze the differences in 28-day and 365-day mortality among patients with sepsis patients in these HGI groups. Multivariate corrected Cox proportional risk model and restricted cubic spline (RCS) were used. Lastly, mediation analysis was performed to assess the factors through which HGI affects sepsis prognosis. This study included 2605 patients with sepsis, and the 28-day and 365-day mortality rates were 19.7% and 38.9%, respectively. The Q3 group had the highest mortality risk at 28 days (HR = 2.55, 95% CI: 1.89-3.44, p < 0.001) and 365 days (HR = 1.59, 95% CI: 1.29-1.97, p < 0.001). In the fully adjusted multivariate Cox proportional hazards model, patients in the Q3 group still displayed the highest mortality rates at 28 days (HR = 2.02, 95% CI: 1.45-2.80, p < 0.001) and 365 days (HR = 1.28, 95% CI: 1.08-1.56, p < 0.001). The RCS analysis revealed that HGI was positively associated with adverse clinical outcomes. Finally, the mediation effect analysis demonstrated that the HGI might influence patient survival prognosis via multiple indicators related to the SOFA and SAPS II scores. There was a significant association between HGI and all-cause mortality in patients with sepsis, and patients with higher HGI values had a higher risk of death. Therefore, HGI can be used as a potential indicator to assess the prognostic risk of death in patients with sepsis.
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