High Hemoglobin Glycation Index Linked to Increased Mortality in Heart Failure, reveals research

Kaplan–Meier survival curves were utilized to contrast mortality rates between various HGI groups. Cox regression models and restricted cubic spline (RCS) analysis were used to evaluate the association between HGI and mortality risk. Subgroup and sensitivity analyses were used to confirm the results.

Key Findings

• 2,846 HF patients (40.1% male) were included.

• 10.7% (305 patients) of them died within 30 days, and 33.5% (954 patients) of them died within 365 days.

• Kaplan–Meier analysis also showed that a high HGI was significantly correlated with higher risk of mortality (log-rank P < 0.001).

• Those who had high HGI were significantly at a higher risk of 30-day (adjusted hazard ratio [aHR]: 2.36, 95% CI: 1.74–3.20, P < 0.001) and 365-day (aHR: 1.40, 95% CI: 1.16–1.68, P < 0.001) mortality.

• Every one-point rise in HGI was associated with 1.42-fold increased risk of 30-day mortality (aHR: 1.42, 95% CI: 1.28–1.57, P < 0.001) and 1.19-fold increased risk of 365-day mortality (aHR: 1.19, 95% CI: 1.11–1.68, P < 0.001).

• RCS analysis revealed an L-shaped nonlinear relationship between HGI and mortality (P for nonlinearity < 0.001), with an inflection point at HGI = -1.295.

• A high HGI value (> 0.709) was identified as a threshold for increased risk of mortality.

The study authors concluded that in critically ill heart failure patients admitted to ICU, high hemoglobin glycation index was strongly correlated with short-term and long-term mortality risks. The results indicate that HGI has the potential to be a useful prognostic indicator in clinical practice, facilitating the detection of high-risk patients and the best treatment strategies to maximize survival rates.

Reference: