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Relationship between hemoglobin glycation index and all-cause mortality in patients with acute myocardial infarction:
Lin Yu1, Haizhu Chen1, Jiwen Zhang1
1Foshan Clinical Medical School of Guangzhou University of Chinese Medicine, Foshan, China.
Insights
The Hemoglobin Glycation Index (HGI) shows a link to mortality in acute myocardial infarction (AMI) patients. A U-shaped relationship was found, indicating both low and high HGI levels are associated with increased death risk.
Area of Science:
- Cardiology
- Metabolic Research
Background:
- The Hemoglobin Glycation Index (HGI) measures the difference between actual and estimated Hemoglobin A1c (HbA1c).
- Limited research exists on the association between HGI and adverse outcomes in acute myocardial infarction (AMI) patients.
Purpose of the Study:
- To investigate the relationship between HGI and mortality risk in critically ill patients diagnosed with AMI.
Main Methods:
- Utilized data from the MIMIC-IV database for patients with AMI.
- Employed Cox proportional hazards regression and restricted cubic spline (RCS) analysis to assess HGI's association with mortality.
- Conducted subgroup analyses to validate findings across diverse patient demographics.
Main Results:
- Analysis of 3,972 AMI patients revealed a significant U-shaped association between HGI and mortality at 30-day and 365-day follow-ups.
- Lower HGI levels correlated with increased mortality at both time points.
- Higher HGI levels were associated with elevated 30-day mortality risk.
Conclusions:
- A significant association exists between Hemoglobin Glycation Index levels and all-cause mortality in critically ill AMI patients.
Background:
The 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.
Methods:
Data 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.
Results:
The 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.
Conclusion:
Among critically ill AMI patients, a marked link emerged between HGI levels and all-cause mortality.
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