Scholarlink

Background <p>Glycemic variability is increasingly recognized as a critical factor influencing outcomes in intensive care, yet its prognostic role remains unclear. The Hemoglobin Glycation Index (HGI), which reflects individual glycemic variation, has not been thoroughly studied in critically ill populations.</p> Aim <p>To evaluate the association between HGI and all-cause mortality in critically ill patients using data from a large intensive care unit (ICU) cohort.</p> Methods <p>We conducted a retrospective cohort study using the MIMIC-IV database. The primary outcomes were 30-, 90-, and 365-day all-cause mortality; in-hospital mortality was secondary. Kaplan-Meier analysis, Cox regression, and restricted cubic spline (RCS) modeling were used to assess mortality risk across HGI levels. Propensity score matching (PSM) and subgroup analyses were performed to ensure robustness.</p> Results <p>Among 9,695 patients, those with low HGI (&lt; − 0.40) had significantly higher mortality (<i>P</i> &lt; 0.001). RCS analysis showed a nonlinear association between HGI and 30-day mortality. Higher HGI values were independently associated with reduced risk of death at all time points, with hazard ratios ranging from 0.43 to 0.76 (<i>P</i> &lt; 0.001). These associations persisted after multivariable adjustment and PSM. Subgroup analyses showed consistent results across patient characteristics.</p> Conclusions <p>Lower HGI values are associated with increased short- and long-term mortality in critically ill patients. HGI may serve as a valuable prognostic biomarker for risk stratification in ICU settings.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Association between hemoglobin glycation index and mortality in critically ill patients: a retrospective cohort study

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年7月12日

查看全文
  • Liwei Pan,
  • Fengfeng Lu,
  • Bihuan Cheng,
  • Wenwu Zhang,
  • Benji Wang

摘要

Background

Glycemic variability is increasingly recognized as a critical factor influencing outcomes in intensive care, yet its prognostic role remains unclear. The Hemoglobin Glycation Index (HGI), which reflects individual glycemic variation, has not been thoroughly studied in critically ill populations.

Aim

To evaluate the association between HGI and all-cause mortality in critically ill patients using data from a large intensive care unit (ICU) cohort.

Methods

We conducted a retrospective cohort study using the MIMIC-IV database. The primary outcomes were 30-, 90-, and 365-day all-cause mortality; in-hospital mortality was secondary. Kaplan-Meier analysis, Cox regression, and restricted cubic spline (RCS) modeling were used to assess mortality risk across HGI levels. Propensity score matching (PSM) and subgroup analyses were performed to ensure robustness.

Results

Among 9,695 patients, those with low HGI (< − 0.40) had significantly higher mortality (P < 0.001). RCS analysis showed a nonlinear association between HGI and 30-day mortality. Higher HGI values were independently associated with reduced risk of death at all time points, with hazard ratios ranging from 0.43 to 0.76 (P < 0.001). These associations persisted after multivariable adjustment and PSM. Subgroup analyses showed consistent results across patient characteristics.

Conclusions

Lower HGI values are associated with increased short- and long-term mortality in critically ill patients. HGI may serve as a valuable prognostic biomarker for risk stratification in ICU settings.