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| Predictive value of neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio and platelet-to-neutrophil ratio in progressive ischemic stroke of large atherosclerosis |
| PANG Weiping1 WANG Baoai2 |
1.Fenyang College, Shanxi Medical University, Shanxi Province, Fenyang 032200, China;
2.Department of Neurology, Fenyang Hospital Fenyang Hospital Affiliated to Shanxi Medical University, Shanxi Province, Fenyang 032200, China |
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Abstract Objective To investigate the predictive value of neutrophil-to-lymphocyte ratio(NLR), platelet-to-lymphocyte ratio(PLR) and platelet-to-neutrophil ratio(PNR) in the progressive ischemic(PIS) stroke of large atherosclerosis. Methods Clinical data of 327 patients with large atherosclerotic cerebral infarction admitted to Fenyang Hospital of Shanxi Province from January 2021 to December 2021 were retrospectively collected. They were divided into PIS group (56 cases) and non-PIS group (271 cases) according to whether the disease progressed within 72 hours. Two sets of general data were compared and the influencing factors of PIS were explored and the predictive value of NLR, PLR, and PNR for PIS were evaluated. Results Admission systolic blood pressure, admission diastolic blood pressure, admission National Institutes of Health stroke scale (NIHSS) score, white blood cell count, neutrophil count, NLR, and PLR in PIS group were higher than those in non-PIS group, and lymphocyte count and PNR were lower than those in non-PIS group, with statistical significances (P＜0.05). NLR (OR=1.150, 95%CI:1.048-1.261, P=0.003), PLR (OR=1.006, 95%CI:1.002-1.009, P= 0.002), and PNR (OR=0.978, 95%CI:0.958-0.997, P=0.024) were independent influencing factors of PIS. NLR predicted the area under receiver operating characteristic (ROC) curve of PIS was 0.707(95%CI:0.642-0.772, P＜0.001), the optimal cutoff value was 3.14, the sensitivity was 82.1%, and the specificity was 61.6%. The area under curve of ROC PLR predicted PIS was 0.662(95%CI:0.589-0.736, P＜0.001), the optimal cutoff value was 138.50, the sensitivity was 73.2%, and the specificity was 57.2%. The area under ROC curve of PNR predicted PIS was 0.604(95%CI:0.530-0.677, P=0.015), the best cutoff value was 44.28, the sensitivity was 64.3%, and the specificity was 59.4%. Conclusion NLR, PLR, and PNR are independent influencing factors of PIS, all of which have predictive value for progressive stroke of large atherosclerosis.
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