Evidence map›Paper›PMID 41174801›Full record

ArticleDiabetology & metabolic syndrome2025

Relationship between hemoglobin glycation index and all-cause mortality in patients with acute myocardial infarction: based on MIMIC-IV database.

Lin Yu, Haizhu Chen, Jiwen Zhang, Wei Han

Abstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Lin YuFoshan Clinical Medical School of Guangzhou University of Chinese Medicine, Foshan, China.
Haizhu ChenFoshan Clinical Medical School of Guangzhou University of Chinese Medicine, Foshan, China.
Jiwen ZhangFoshan Clinical Medical School of Guangzhou University of Chinese Medicine, Foshan, China.
Wei HanFoshan Clinical Medical School of Guangzhou University of Chinese Medicine, Foshan, China. hanwei1802024@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Hemoglobin Glycation Index (HGI) assesses the discrepancy between actual and estimated Hemoglobin A1c (HbA1c) levels. Research exploring the connection between HGI and negative outcomes in patients with acute myocardial infarction (AMI) is notably lacking. The current study seeks to examine how HGI is related to the likelihood of death in people suffering from AMI.

methodsData on individuals suffering from AMI originated in the MIMIC-IV database. A proportional hazards regression model using the Cox method was applied to investigate the association between HGI and mortality. Furthermore, an investigation into the dose-response relationship between HGI and mortality was carried out using restricted cubic spline (RCS) analysis. To confirm the reliability of our results, subgroup analyses were conducted across different variables.

resultsThe research involved a group of 3,972 patients who were critically ill and had been diagnosed with AMI. A fully adjusted Cox regression analysis revealed a significant association between lower HGI levels and increased mortality rates at both 30-day and 365-day follow-ups. Furthermore, higher HGI levels were also linked to an increased risk of mortality within the first 30 days. An RCS analysis detected a U-shaped relationship connecting HGI to mortality rates at the 30-day and 365-day time intervals. Subgroup analyses and interaction tests further substantiated these findings, demonstrating that the association held true across various patient subgroups.

conclusionAmong critically ill AMI patients, a marked link emerged between HGI levels and all-cause mortality.

Indexed as

Acute myocardial infarctionAll-cause mortalityHemoglobin glycation indexMIMIC-IV database

Identifiers

PMID41174801
PMCPMC12577028

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