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The hemoglobin glycation index stratifies heart failure phenotypes and in-hospital risk
Chuxin Lyu1,2,3, Xinyu Tong4, Pingyang Fu1,2,3
1Department of Cardiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Insights
Higher hemoglobin glycation index (HGI) in hospitalized heart failure (HF) patients is linked to reduced ejection fraction (EF) and increased risk of worsening heart failure (WHF). HGI may aid in HF phenotype characterization and risk stratification.
Area of Science:
- Cardiology
- Metabolic Syndrome
- Clinical Research
Background:
- Heart failure (HF) management requires accurate patient stratification.
- Ejection fraction (EF) categories are crucial for HF phenotyping.
- Hemoglobin glycation index (HGI) reflects chronic hyperglycemia and may correlate with HF severity.
Purpose of the Study:
- To assess the association between HGI and EF categories in hospitalized HF patients.
- To investigate the relationship between HGI and in-hospital worsening heart failure (WHF).
Main Methods:
- Retrospective study of 647 hospitalized HF patients.
- HGI calculated from measured and predicted HbA1c.
- Logistic regression and restricted cubic spline analysis used to evaluate associations.
Main Results:
- Higher HGI was associated with reduced EF phenotypes (HFrEF).
- Each 1-unit increase in HGI decreased the odds of higher EF categories by ~25%.
- Higher HGI significantly increased the risk of in-hospital WHF (OR=2.161 per unit increase).
Conclusions:
- Elevated HGI is linked to the HFrEF phenotype in hospitalized HF patients.
- HGI is a significant predictor of in-hospital worsening heart failure.
- HGI shows potential as a supplementary marker for HF risk stratification and phenotyping.
Objective:
To evaluate the association between the hemoglobin glycation index (HGI) and ejection fraction (EF) categories in hospitalized heart failure (HF) patients and to investigate the relationship between HGI and in-hospital worsening heart failure (WHF).
Methods:
This single-center retrospective study included 647 HF patients (261 HFrEF, 186 HFmrEF, 200 HFpEF). HGI was calculated as measured HbA1c minus predicted HbA1c (derived from fasting plasma glucose regression). Ordinal multinomial logistic regression and binomial logistic regression were used to evaluate the relationships between HGI (exposure) and EF-based phenotypes and in-hospital WHF (outcome), respectively, with stepwise adjustment for confounding factors. Dose-response relationships were assessed using restricted cubic spline (RCS) analysis.
Results:
HFrEF patients exhibited the highest HGIs and the highest incidence of In-hospital WHF (33.72% vs. 18.82% [HFmrEF] and 14.00% [HFpEF]; P < 0.001). After full adjustment, a higher HGI was significantly associated with the HFrEF phenotype. For every 1-unit increase in HGI, the probability of being classified into a higher EF category (HFrEF → HFmrEF/HFpEF) decreased by approximately 25% (OR = 0.746, 95% CI 0.617-0.902; P = 0.003; P for trend = 0.029). Regarding outcomes, HGI showed a stable, positive association with In-hospital WHF. After full adjustment, every 1-unit increase in HGI increased the risk of In-hospital WHF 2.16-fold (OR = 2.161, 95% CI 1.680-2.840; P<0.001). When divided into quartiles (Q1 as reference), the ORs for In-hospital WHF in Q2, Q3, and Q4 were 2.790, 3.811, and 7.322, respectively (P for trend < 0.001). RCS analysis revealed an approximately linear dose-response relationship.
Conclusion:
In hospitalized HF patients, a higher HGI was significantly associated with the HFrEF phenotype and an increased risk of in-hospital WHF. HGI may serve as a potential supplementary indicator for phenotype characterization and risk stratification.
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