Neutrophil-lymphocyte ratio predicts post-thrombolysis early neurological deterioration in acute ischemic stroke patients.
Intravenous thrombolysis (IVT) has become the standard treatment for acute ischemic stroke within 4.5 hr after symptoms onset. However, a fraction of patients would develop early neurological deterioration (END) after IVT. The aim of our study was to explore the utility of neutrophil-lymphocyte ratio (NLR) in predicting END.
From October 2016 to March 2018, 342 consecutive patients with thrombolytic therapy were prospectively enrolled in this study. Blood cell counts were sampled in stroke emergency room before IVT. END was defined as a National Institutes of Health Stroke Scale score increase of ≥4 points within 24 hr after IVT. Multiple regression analysis was used to investigate the potential risk factors of END. We also performed receiver operating characteristic curve analysis and nomogram analysis to assess the overall discriminative ability of the NLR in predicting END.
Of the 342 patients, 86 (25.1%) participants were identified with END. Univariate logistic regression analysis demonstrated that patients with NLR in the third tertile, compared with the first tertile, were more likely to have END (odds ratio, 9.783; 95% confidence interval [CI], 4.847-19.764; p = .001). The association remained significant even after controlled for potential confounders. Also, a cutoff value of 4.43 for NLR was detected in predicting post-thrombolysis END with a sensitivity of 70.9% and a specificity of 79.3% (area under curve, 0.779; 95% CI, 0.731-0.822). Furthermore, our established nomogram indicated that higher NLR was an indicator of post-thrombolysis END (c-index was 0.789, p < .001).
This study showed that elevated level of NLR may predict post-thrombolysis END in ischemic stroke patients.
Gong P
,Xie Y
,Jiang T
,Liu Y
,Wang M
,Sun H
,Zhang S
,Zhang Y
,Zhang X
,Zhou J
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《Brain and Behavior》
Platelet-to-neutrophil Ratio after Intravenous Thrombolysis Predicts Unfavorable Outcomes in Acute Ischemic Stroke.
Platelet-to-neutrophil ratio (PNR) was suggested to be an independent protective predictor for 90-days outcomes in acute ischemic stroke (AIS) patients in previous studies. This study aims to investigate the association between PNR and outcomes of AIS in intravenous thrombolysis (IVT) group.
Data on acute ischemic stroke patients who received intravenous thrombolysis from April 2015 to March 2019 were collected. We defined the PNR value at admission as pre-IVT PNR and after IVT within 24 h was defined as post-IVT PNR. Clinical outcome indicators included early neurological deterioration (END), hemorrhagic transformation (HT), delayed neurological deterioration (DND), and poor 3-month outcome (3m-mRS >2).
A total of 581 patients were enrolled in the final analysis. The age was 61(53-69) years, and 423(72.8%) were males. Post-IVT PNR was independently associated with hemorrhagic transformation (OR = 0.974; 95%CI = 0.956-0.992; P=0.006), early neurological deterioration (OR = 0.939; 95%CI = 0.913-0.966; P = 0.01), delayed neurological deterioration (OR = 0.949; 95%CI = 0.912- 0.988; P = 0.011), and poor outcome (OR = 0.962; 95%CI = 0.948-0.976; P<0.001). PNR level was identified as high (at the cut-off value or above) or low (below the cut-off value) according to receiver operating curve (ROC) analyses on each endpoint. Comparison of early neurological deterioration, hemorrhagic transformation, delayed neurological deterioration, and poor 3-month outcome (3m-mRS >2) between patients at high and low levels for platelet-to-neutrophil ratio (PNR) showed statistical differences (p<0.001).
Post-IVT PNR was independently associated with early neurological deterioration, hemorrhagic transformation, delayed neurological deterioration, and poor 3-month outcome. Lower PNR can predict a worse outcome.
Wang MQ
,Sun YY
,Wang Y
,Yan XL
,Jin H
,Sun X
,Zhang P
,Zhu HJ
,Guo ZN
,Yang Y
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《-》
The Association of the Neutrophil-to-Lymphocyte Ratio, Platelet-to-Lymphocyte Ratio, Lymphocyte-to-Monocyte Ratio and Systemic Inflammation Response Index with Short-Term Functional Outcome in Patients with Acute Ischemic Stroke.
The aim of this study was to explore the relationship between functional prognosis and the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR) and systemic inflammatory response index (SIRI) in patients with acute ischemic stroke (AIS) at discharge.
A total of 861 patients with AIS were enrolled between January 2019 and December 2021. Blood cell counts were collected on admission. Logistic regression analysis was performed to assess the relationship between NLR, PLR, LMR, SIRI and adverse functional outcomes (modified Rankin scale score of 3-6) at discharge. We also used receiver operating characteristic (ROC) curves to estimate the overall ability of NLR, PLR, LMR and SIRI to judge short-term functional outcomes. Associations between NLR, PLR, LMR, and SIRI with length of hospital stay were analyzed by Spearman correlation test.
A total of 194 patients (22.5%) had poor functional outcomes at discharge. Multivariate logistic regression analysis showed that NLR (odds ratio [OR], 1.060; 95% confidence interval [CI] 1.004-1.120, P=0.037), PLR (OR, 1.003; 95% CI 1.000-1.005, P=0.018), LMR (OR, 0.872; 95% CI 0.774-0.981, P=0.023) and SIRI (OR, 1.099; 95% CI 1.020-1.184, P=0.013) were independent factors for poor functional outcome. The odds ratios of the highest versus lowest quartiles of NLR, PLR and SIRI were 2.495 (95% CI 1.394-4.466), 1.959 (95% CI 1.138-3.373) and 1.866 (95% CI 1.106-3.146), respectively. The odds ratio of the lowest versus highest quartile of LMR was 2.300 (95% CI 1.331-3.975). The areas under the curve (AUCs) of the NLR, PLR, LMR, and SIRI to discriminate poor functional prognosis were 0.644, 0.587, 0.628, and 0.651, respectively. NLR, LMR, and SIRI were related with the length of hospital stay (P<0.05).
NLR, PLR, LMR, and SIRI were associated with functional outcome at discharge in AIS patients. NLR, LMR and SIRI were related to hospitalization days in patients with AIS.
Zhang YX
,Shen ZY
,Jia YC
,Guo X
,Guo XS
,Xing Y
,Tian SJ
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《Journal of Inflammation Research》