Association between the low-density lipoprotein to high-density lipoprotein ratio and prognosis in critically ill intracerebral hemorrhage patients: a retrospective cohort study from the MIMIC-IV database.

Abstract

Background: The relationship between lipid profiles and intracranial hemorrhage (ICH) has garnered increasing attention. The ratio of low-density lipoprotein to high-density lipoprotein (LHR) is one of the key lipid profile indices. However, studies investigating the association between LHR and the prognosis of critically ill ICH patients remain limited.

Methods: Data for this study were obtained from the MIMIC-IV 3.1 database. Initially, the association between LHR and short-term outcomes in ICH patients, including ICU mortality, in-hospital mortality, and 28-day mortality, was analyzed using Cox regression in both continuous and categorical models. Additionally, restricted cubic spline (RCS), subgroup, and sensitivity analyses were conducted to further validate our findings.

Results: The study included 873 critically ill ICH patients, among whom 20.3% (177/873) succumbed within 28 days. Higher LHR was independently associated with lower short-term mortality in ICH patients (28-day mortality: HR = 0.82, 95% CI: 0.68 ~ 0.99, P = 0.039; In-hospital mortality: HR = 0.7, 95% CI: 0.55 ~ 0.89, P = 0.004; ICU mortality: HR = 0.66, 95% CI: 0.48 ~ 0.92, P = 0.015). The RCS revealed a linear relationship between LHR and short-term all-cause mortality. Subgroup analyses demonstrated consistent results. The optimal cutoff value for LHR was determined to be 1.21. Comparing the mortality risk between the low-LHR and high-LHR groups, the high-LHR group exhibited higher survival rates (28-day mortality, P = 0.0052; In-hospital mortality, P = 0.019; ICU mortality, P = 0.044). Furthermore, higher LHR was also correlated with lower disease severity scores (SAPS-II: r = -0.158, P < 0.001, OASIS: r = -0.117, P = 0.006).

Conclusion: LHR was negatively associated with short-term mortality in critically ill ICH patients. It may aid clinicians in identifying high-risk individuals and providing timely interventions.