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<p>The lactate-to-albumin ratio (LAR) has been reported as a prognostic marker in various diseases, but its association with outcomes in patients with sepsis-induced cardiomyopathy (SICM) remains unclear. This study aimed to evaluate the prognostic value of LAR in SICM patients. We retrospectively analyzed data from SICM patients admitted to the intensive care unit (ICU) of Beth Israel Deaconess Medical Center between 2008 and 2022. LAR was calculated using laboratory values obtained within 24&#xa0;h of ICU admission. The optimal LAR cutoff was determined using R software. Survival analysis was performed with Kaplan–Meier curves, and multivariate logistic regression models were used to assess the association between LAR and 28-day mortality. Restricted cubic spline (RCS) analysis explored the dose–response relationship, and subgroup analyses evaluated consistency across populations. Among 1,810 included patients, the optimal LAR cutoff was 1.094. Kaplan–Meier analysis showed significantly higher 28-day mortality in the high-LAR group (log-rank <i>P</i> &lt; 0.001). Multivariate logistic regression confirmed LAR as an independent predictor of mortality (adjusted OR = 1.42, 95% CI: 1.04–1.93). RCS revealed a non-linear relationship between LAR and mortality (<i>P</i> for non-linear = 0.001), and subgroup analyses showed no significant interactions. LAR is independently associated with short-term prognosis in SICM patients and may serve as a practical biomarker for risk stratification.</p>

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The relationship between lactate-to-albumin ratio and prognosis in patients with sepsis-induced cardiomyopathy: a retrospective cohort study

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  • 发表日期：

    2026年5月14日

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  • Jian Deng

摘要

The lactate-to-albumin ratio (LAR) has been reported as a prognostic marker in various diseases, but its association with outcomes in patients with sepsis-induced cardiomyopathy (SICM) remains unclear. This study aimed to evaluate the prognostic value of LAR in SICM patients. We retrospectively analyzed data from SICM patients admitted to the intensive care unit (ICU) of Beth Israel Deaconess Medical Center between 2008 and 2022. LAR was calculated using laboratory values obtained within 24 h of ICU admission. The optimal LAR cutoff was determined using R software. Survival analysis was performed with Kaplan–Meier curves, and multivariate logistic regression models were used to assess the association between LAR and 28-day mortality. Restricted cubic spline (RCS) analysis explored the dose–response relationship, and subgroup analyses evaluated consistency across populations. Among 1,810 included patients, the optimal LAR cutoff was 1.094. Kaplan–Meier analysis showed significantly higher 28-day mortality in the high-LAR group (log-rank P < 0.001). Multivariate logistic regression confirmed LAR as an independent predictor of mortality (adjusted OR = 1.42, 95% CI: 1.04–1.93). RCS revealed a non-linear relationship between LAR and mortality (P for non-linear = 0.001), and subgroup analyses showed no significant interactions. LAR is independently associated with short-term prognosis in SICM patients and may serve as a practical biomarker for risk stratification.