Guiqian Huang1, Huijun Chen1, Qiongzhang Wang1, Xianchai Hong1, Pinglang Hu1, Meijuan Xiao1, Meichun Shu1, Jincai He2. 1. Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang, China. 2. Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang, China. Electronic address: hjc@wmu.edu.cn.
Abstract
BACKGROUND: Post-stroke depression (PSD) is the most common psychological consequence among stroke patients, and inflammatory cytokines have cited as risk factors in PSD. We aimed to evaluate the predictive value of stratification of PLR (platelet-to-lymphocyte ratio), an inflammatory marker, in PSD patients. METHODS: A total of 363 acute ischemic stroke (AIS) patients were screened in the study and received 1-month follow-up. All of the patients were categorized into equal tertiles according to the number of patients and the distribution of PLR. PSD status was evaluated by 17-item Hamilton Depression Rating Scale at 1 month after stroke RESULTS: The optimal cut-off points of PLR were: (T1) 42.15-99.60, (T2) 99.72-127.92, (T3) 127.93-259.84. A total of 77 patients (21.2%) were diagnosed with PSD at 1-month follow-up. Significant differences were found between the PSD and non-PSD groups in PLR tertiles of patients (P < 0.001). After adjustment for conventional confounding factors, the odds ratio of PSD was 5.154 (95% CI, 1.933-13.739) for the highest tertile of PLR compared with the lowest tertile. In multiple-adjusted spline regression, continuously PLR showed linear relation with PSD risk after 95 (P < 0.001 for linearity). LIMITATIONS: We excluded patients with severe aphasia or serious conditions. In addition, the PLR was recorded only at admission, which limited us explore the correlation of the change of PLR over time with PSD CONCLUSIONS: Increased PLR at admission is a significant and independent biomarker to predict the development of PSD, and stratified PLR could strengthen the predictive power for PSD patients.
BACKGROUND: Post-stroke depression (PSD) is the most common psychological consequence among strokepatients, and inflammatory cytokines have cited as risk factors in PSD. We aimed to evaluate the predictive value of stratification of PLR (platelet-to-lymphocyte ratio), an inflammatory marker, in PSDpatients. METHODS: A total of 363 acute ischemic stroke (AIS) patients were screened in the study and received 1-month follow-up. All of the patients were categorized into equal tertiles according to the number of patients and the distribution of PLR. PSD status was evaluated by 17-item Hamilton Depression Rating Scale at 1 month after stroke RESULTS: The optimal cut-off points of PLR were: (T1) 42.15-99.60, (T2) 99.72-127.92, (T3) 127.93-259.84. A total of 77 patients (21.2%) were diagnosed with PSD at 1-month follow-up. Significant differences were found between the PSD and non-PSD groups in PLR tertiles of patients (P < 0.001). After adjustment for conventional confounding factors, the odds ratio of PSD was 5.154 (95% CI, 1.933-13.739) for the highest tertile of PLR compared with the lowest tertile. In multiple-adjusted spline regression, continuously PLR showed linear relation with PSD risk after 95 (P < 0.001 for linearity). LIMITATIONS: We excluded patients with severe aphasia or serious conditions. In addition, the PLR was recorded only at admission, which limited us explore the correlation of the change of PLR over time with PSD CONCLUSIONS: Increased PLR at admission is a significant and independent biomarker to predict the development of PSD, and stratified PLR could strengthen the predictive power for PSDpatients.