In this observational study, we enrolled 224 ICH patients. They were divided into 2 groups based on their 30-day outcomes. Multivariate logistic regression was performed to identify independent risk factors of 30-day mortality. An optimal cutoff value for the continuous NLR was calculated by applying a receiver operating curve analysis to discriminate between the survival and death groups.
Among 224 patients, 26 died. No significant difference in NLR at admission was observed between the 2 groups (surviving: 2.39 ± 1.75 versus nonsurviving: 3.09 ± 2.16, P = .065), whereas NLR on the next morning following admission was significantly higher in the patients who died (12.53 ± 9.33) than in those who survived (5.53 ± 4.68) (P < .001). On multivariate logistic analysis, Glasgow Coma Scale score (odds ratio [OR] .805, 95% confidence interval [CI] .661-.979, P = .030), age (≥80 years; OR .203, CI .055-.750, P = .017), ICH volume (≥30 cm3; OR .112, CI .108-.699, P = .019), and NLR on the next morning (OR 1.091, CI 1.002-1.188, P = .044) were independent risk factors of 30-day mortality. An NLR of 7.35 was identified as the optimal cutoff value. The area under the curve of NLR for 30-day mortality was .762 (P < .001). The mortality was significantly higher in patients with an NLR of 7.35 or higher than in those with an NLR less than 7.35 (31.6% versus 4.8%, P < .001).
Higher NLR exhibited an increased mortality in ICH patients. NLR could be used to predict 30-day outcome in ICH patients.