School of Medicine, National Taiwan University College of Medicine, Taipei, Taiwan.
Department of Neurology, Tainan Sin Lau Hospital, Tainan, Taiwan.
Cerebrovasc Dis. 2023;52(5):567-574. doi: 10.1159/000529531. Epub 2023 Mar 23.
The neutrophil-to-lymphocyte ratio (NLR) may predict stroke-associated pneumonia, which is generally defined as pneumonia occurring in the first week after stroke. However, little is known whether the initial NLR is associated with pneumonia risk during the long-term follow-up in stroke survivors. We aimed to determine the relationship between admission NLR and the risk of post-stroke pneumonia within 1 year after discharge from acute stroke care.
Hospital databases were searched to identify adult patients hospitalized for acute stroke. Admission NLR was extracted using differential leukocyte counts. The outcome of interest was hospitalized pneumonia occurring within 1 year after discharge from hospitalization for stroke. Multivariable Cox proportional-hazards models were used to determine the independent effects of the NLR on the risk of pneumonia.
In this study, 5,741 patients with acute stroke (mean age, 68 years; men, 62.1%) were analyzed. The median NLR was 2.72 (interquartile range, 1.78-4.49). Of the patients, 342 (6.0%) developed pneumonia within 1 year after discharge. In the multivariable models, the NLR was a significant predictor of pneumonia after discharge whether it was analyzed as a continuous or dichotomized variable. The corresponding adjusted hazard ratios were 1.037 (95% confidence interval [CI], 1.013-1.061) and 1.361 (95% CI, 1.087-1.704), respectively.
The NLR could predict the risk of post-stroke pneumonia up to 1 year after discharge from acute stroke care. It may help identify high-risk stroke survivors, for whom appropriate interventions can be targeted.
中性粒细胞与淋巴细胞比值(NLR)可能预测卒中相关性肺炎,一般定义为卒中后第一周发生的肺炎。然而,对于卒中幸存者出院后长期随访中初始 NLR 是否与肺炎风险相关,知之甚少。我们旨在确定入院时 NLR 与急性卒中护理出院后 1 年内卒中后肺炎风险之间的关系。
通过医院数据库搜索,确定因急性卒中住院的成年患者。通过白细胞分类计数提取入院时 NLR。主要结局是出院后 1 年内发生的院内肺炎。采用多变量 Cox 比例风险模型确定 NLR 对肺炎风险的独立影响。
本研究共分析了 5741 例急性卒中患者(平均年龄 68 岁,男性 62.1%)。NLR 的中位数为 2.72(四分位距 1.78-4.49)。出院后 1 年内,342 例(6.0%)患者发生肺炎。在多变量模型中,无论是作为连续变量还是二分类变量进行分析,NLR 都是肺炎出院后发生的重要预测因素。相应的调整后危险比分别为 1.037(95%可信区间 1.013-1.061)和 1.361(95%可信区间 1.087-1.704)。
NLR 可预测急性卒中护理出院后 1 年内卒中后肺炎的风险。它可能有助于识别高风险的卒中幸存者,针对这些患者可以采取适当的干预措施。