Hemoglobin glycation index and mortality risk in metabolic dysfunction-associated steatotic liver disease patients: a novel U-shaped association

Identifying dependable prognostic indicators is essential for the efficient management of metabolic dysfunction-associated steatotic liver disease (MASLD). The index of hemoglobin glycation (HGI) has been demonstrated to be closely linked to the onset and advancement of MASLD. Currently, no studies have investigated the relationship between HGI and mortality rates among MASLD patients. This study analyzed data from the National Health and Nutrition Examination Surveys (NHANES) covering 1999 to 2018, involving 8,257 adult patients diagnosed with MASLD. The HGI was determined using a linear regression model that correlated hemoglobin A1c (HbA1c) with fasting plasma glucose (FPG). The study employed Kaplan-Meier survival curves and weighted Cox proportional hazards models to evaluate the independent association between HGI and mortality risk. The study utilized restricted cubic splines (RCS) to visually depict the relationship between HGI and mortality risk. Over a median follow-up duration of 97.0 months, there were 1,352 recorded deaths, among which 386 were attributed to cardiovascular disease (CVD). Participants were classified into two groups based on their HGI values: the high HGI group (≥ 0.4605) and the low HGI group (< 0.4605). The results from the weighted Cox proportional hazards model indicated that individuals in the high HGI group faced a significantly higher risk of all-cause mortality (HR 1.47, 95% CI 1.19-1.82, P < 0.001). However, no significant increase in CVD mortality risk was observed (HR 1.38, 95% CI 0.95-1.99, P = 0.090). The RCS analysis identified a U-shaped association between HGI and both all-cause mortality and CVD mortality, with critical points at -0.0564 and - 0.0573, respectively. Below the critical points, HGI was negatively correlated with all-cause mortality (HR 0.82, 95% CI: 0.72-0.92, P < 0.001) and not significantly associated with CVD mortality (HR 0.78, 95% CI: 0.57-1.07, P = 0.126). Above the critical points, HGI was significantly positively correlated with both all-cause mortality (HR 1.36, 95% CI: 1.20-1.53, P < 0.001) and CVD mortality (HR 1.44, 95% CI: 1.11-1.88, P = 0.007). Further subgroup and interaction analyses corroborated the reliability of these findings. HGI could potentially function as a useful and dependable marker for evaluating all-cause mortality and cardiovascular mortality in MASLD patients.

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Publication Details

Journal
Scientific Reports
Published
2025-01-09
DOI
https://doi.org/10.1038/s41598-024-82034-1
Citations
6
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
8.13

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article

Hemoglobin glycation index and mortality risk in metabolic dysfunction-associated steatotic liver disease patients: a novel U-shaped association

Ning Sun, Jinjin Ji, Wantong Zhang, Weiliang Weng et al.
6 citations
Scientific Reports
Liver Disease Diagnosis and Treatment
8.13
article

Hemoglobin glycation index and mortality risk in metabolic dysfunction-associated steatotic liver disease patients: a novel U-shaped association

Ning Sun, Jinjin Ji, Wantong Zhang, Weiliang Weng, Mengjie Zhao, Qiuyan Li, Lu Fang, Yurong Cheng
article en
6 citations

Abstract

Identifying dependable prognostic indicators is essential for the efficient management of metabolic dysfunction-associated steatotic liver disease (MASLD). The index of hemoglobin glycation (HGI) has been demonstrated to be closely linked to the onset and advancement of MASLD. Currently, no studies have investigated the relationship between HGI and mortality rates among MASLD patients. This study analyzed data from the National Health and Nutrition Examination Surveys (NHANES) covering 1999 to 2018, involving 8,257 adult patients diagnosed with MASLD. The HGI was determined using a linear regression model that correlated hemoglobin A1c (HbA1c) with fasting plasma glucose (FPG). The study employed Kaplan-Meier survival curves and weighted Cox proportional hazards models to evaluate the independent association between HGI and mortality risk. The study utilized restricted cubic splines (RCS) to visually depict the relationship between HGI and mortality risk. Over a median follow-up duration of 97.0 months, there were 1,352 recorded deaths, among which 386 were attributed to cardiovascular disease (CVD). Participants were classified into two groups based on their HGI values: the high HGI group (≥ 0.4605) and the low HGI group (< 0.4605). The results from the weighted Cox proportional hazards model indicated that individuals in the high HGI group faced a significantly higher risk of all-cause mortality (HR 1.47, 95% CI 1.19-1.82, P < 0.001). However, no significant increase in CVD mortality risk was observed (HR 1.38, 95% CI 0.95-1.99, P = 0.090). The RCS analysis identified a U-shaped association between HGI and both all-cause mortality and CVD mortality, with critical points at -0.0564 and - 0.0573, respectively. Below the critical points, HGI was negatively correlated with all-cause mortality (HR 0.82, 95% CI: 0.72-0.92, P < 0.001) and not significantly associated with CVD mortality (HR 0.78, 95% CI: 0.57-1.07, P = 0.126). Above the critical points, HGI was significantly positively correlated with both all-cause mortality (HR 1.36, 95% CI: 1.20-1.53, P < 0.001) and CVD mortality (HR 1.44, 95% CI: 1.11-1.88, P = 0.007). Further subgroup and interaction analyses corroborated the reliability of these findings. HGI could potentially function as a useful and dependable marker for evaluating all-cause mortality and cardiovascular mortality in MASLD patients.

Scientific ReportsVol. 15(1)
Beijing University of Chinese Medicine (CN), National Medical Products Administration (CN), State Administration of Traditional Chinese Medicine of the People's Republic of China (CN), National Clinical Research Center for Digestive Diseases (CN), Xiyuan Hospital (CN)
China Academy of Chinese Medical Sciences
Good health and well-being
Openalex Percentile: Top 3%
Liver Disease Diagnosis and Treatment
8.13
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