Predictive value of the monocyte-to-albumin ratio at admission for 30-day mortality in elderly patients with spontaneous intracerebral hemorrhage: a retrospective analysis

Scritto il 15/10/2026
da Lihui Gong

Front Neurol. 2026 Sep 30;17:1948936. doi: 10.3389/fneur.2026.1948936. eCollection 2026.

ABSTRACT

BACKGROUND: The monocyte-to-albumin ratio (MAR) integrates systemic inflammation and nutritional status and has been proposed as a predictor of mortality after spontaneous intracerebral hemorrhage (sICH). However, independent validation in an exclusively elderly cohort remains limited. We aimed to evaluate the association between admission MAR and 30-day mortality in patients aged ≥65 years with sICH.

METHODS: This single-center retrospective study included 206 consecutive elderly patients with acute sICH. MAR was calculated as monocyte count (×109/L) divided by serum albumin (g/L). The primary outcome was 30-day all-cause mortality. Optimal MAR cutoff was determined by Youden's index. Kaplan-Meier and multivariable Cox regression analyses were performed.

RESULTS: 30-day mortality was 38.8%. MAR was significantly higher in non-survivors (0.022 vs. 0.016, p < 0.001). The optimal cutoff was 0.021 (AUC 0.648, 95% CI 0.572-0.724), providing sensitivity of 57.5% and specificity of 68.3%. MAR performance was comparable to the neutrophil-to-lymphocyte ratio (AUC 0.643) and systemic inflammatory response index (AUC 0.637). After adjustment, MAR > 0.021 was independently associated with 30-day mortality (adjusted HR 2.41, 95% CI 1.51-3.85, p < 0.001). In a sensitivity analysis using the ICH score as the primary severity covariate, MAR remained independently associated with mortality (adjusted HR 2.02, 95% CI 1.25-3.26, p = 0.004).

CONCLUSION: Admission MAR is independently associated with 30-day mortality in elderly sICH patients, although its discriminative ability is limited (AUC 0.648). As a simple, routinely available parameter, MAR may serve as a supplementary-not standalone-bedside risk stratification tool.

PMID:42876556 | PMC:PMC13661444 | DOI:10.3389/fneur.2026.1948936