Neutrophil-lymphocyte ratio predicts post-thrombolysis early neurological deterioration in acute ischemic stroke patients

Correlation of LP-PLA2 and MMP-9 with the occurrence of early neurological deterioration in patients with acute ischemic stroke

Early neurological deterioration is a common complication of acute ischemic stroke (AIS), which aggravates symptoms, worsens the condition, and counteracts the benefits of clinical treatment. The aim of this paper was to analyze the correlation between lipoprotein-associated phospholipase A2 (Lp-PLA2), matrix metalloproteinase-9 (MMP-9), and the occurrence of early neurological deterioration (END) in patients with AIS and to explore the clinical prediction of END by the combination of the 2 assays for the clinical prediction of END. A total of 500 AIS patients admitted to our hospital from October 2022 to October 2023 were included as study subjects, and the clinical data of all AIS patients were collected and organized to detect the levels of Lp-PLA2 and MMP-9. Categorized into END and non-END groups according to whether END occurred within 7 days of the onset of AIS, and comparing the clinical baseline data and laboratory index levels of the 2 groups. Logistic regression analysis was performed to determine the independent predictors of END, and the predictive effects of Lp-PLA2 and MMP-9 levels on END were assessed by subject work characteristics (ROC) curves. END occurred in 111 (22.2%) of 500 AIS patients. Multivariate logistic regression analysis showed that diabetes (OR 2.717, 95% CI:1.53-4.81, P < .001), baseline NIHSS score (OR 1.65, 95% CI:1.41-1.94, P < .001), Lp-PLA2 (OR 1.07, 95% CI:1.05-1.09, P < .001) and MMP-9 (OR 1.12, 95% CI:1.09-1.16, P < .001) levels were independent influences on the occurrence of END in patients with AIS after correcting for confounders. ROC curve analysis showed that Lp-PLA2, MMP-9, and a combination of both predicted END with an area under the curve was 0.730, 0.763, and 0.831, respectively, and the area under the curve for the combination of both predicting END was significantly higher than that for any of the inflammatory markers alone (P < .05). Both inflammatory markers, Lp-PLA2 and MMP-9, were independent predictors of the development of END in patients with AIS, and the combination of the two had a higher predictive value.

Correlations of 2 Novel Inflammation Indexes With the Risk for Early Neurological Deterioration in Acute Ischemic Stroke Patients After Intravenous Thrombolytic Therapy

OBJECTIVES

Elevation of the systemic immune inflammation (SII) index and system inflammation response index (SIRI) is known to be associated with higher risk of stroke and all-cause death. However, no study has reported their correlation with early neurological deterioration (END) following recombinant tissue-type plasminogen activator (IV-rtPA) in acute ischemic stroke patients. The aim of this study was to explore the correlation of SII and SIRI with the risk of END after IV-rtPA.

METHODS

Included in this study were 466 consecutive patients treated with IV-rtPA. SII and SIRI were calculated according to blood cell counts before IV-rtPA. Patients were divided into 3 groups based on trisectional quantiles according to SII and SIRI values. The risk of END was assessed by multivariate regression. The overall discriminative ability of SII and SIRI in predicting END was assessed by receiver operating characteristic curve analysis.

RESULTS

Of the 466 included patients, 62 (13.3%) were identified as having END. Compared with the first tertile of SII, multivariable regression analysis demonstrated that patients were more likely to have END (odds ratio 2.54; 95% CI: 1.23-5.23) and poor outcome at 90 days (odds ratio 2.02; 95% CI: 1.06-3.86) in third tertile after adjustment for potential confounders. In addition, a cutoff value of 591.63 for SII was detected in predicting post-thrombolysis END with a sensitivity of 58.1% and a specificity of 64.6% (area under the curve 0.61; 95% CI: 0.54-0.69).

CONCLUSIONS

Higher SII but not SIRI may prove to be a predictor for high risk of END and a poor functional outcome at 90 days after IV-rtPA.

Higher fibrinogen and neutrophil-to-lymphocyte ratio are associated with the early poor response to intravenous thrombolysis in acute ischemic stroke

Background

Inflammation and platelet activation play pivotal roles in acute ischemic stroke (AIS) pathogenesis. Early response to thrombolysis is a vital indicator for the long-term prognosis of AIS. However, the correlation between fibrinogen or the neutrophil-to-lymphocyte ratio (NLR) and the early response to intravenous thrombolysis in patients with AIS remains unclear.

Methods

AIS patients undergoing intravenous thrombolysis were enrolled between January 2018 and May 2023. Blood cell counts were sampled before thrombolysis. A good response was defined as a National Institutes of Health Stroke Scale (NIHSS) score decreased ≥4 or complete recovery 24 h after thrombolysis treatment. A poor response was defined as any increase in the NIHSS score or a decrease in the NIHSS score <4 at the 24 h after thrombolysis treatment compared with that at admission. Logistic regression analysis was performed to explore the relationship of the fibrinogen level and NLR with a poor thrombolysis response. Receiver operating characteristic (ROC) analysis was used to assess the ability of the fibrinogen level and NLR to discriminate poor responders.

Results

Among 700 recruited patients, 268 (38.29%) were diagnosed with a good response, and 432 (61.71%) were diagnosed with a poor response to intravenous thrombolysis. A binary logistic regression model indicated that an elevated fibrinogen level (odds ratio [OR], 1.693; 95% confidence interval [CI] 1.325-2.122, P < 0.001) and NLR (OR, 1.253; 95% CI, 1.210-2.005, P = 0.001) were independent factors for a poor response. The area under the curve (AUC) values for the fibrinogen level, NLR and fibrinogen level combined with the NLR for a poor response were 0.708, 0.605, and 0.728, respectively.

Conclusions

Our research indicates that the levels of fibrinogen and NLR at admission can be used as a prognostic factor to predict early poor response to intravenous thrombolysis.

A novel nomogram predicting early neurological deterioration after intravenous thrombolysis for acute ischemic stroke

Objectives

Intravenous thrombolysis therapy (IVT) with recombinant tissue plasminogen activator has proven to be a beneficial treatment for acute ischemic stroke (AIS) patients when administered within 4.5 h after a stroke. This study aimed to investigate an available and inexpensive predictive tool for early neurological deterioration in AIS.

Methods

Patients admitted to our department with acute stroke who were given IVT with recombinant tissue plasminogen activator within 4.5 h of stroke onset were included in the study. The NIH stroke scale (NIHSS) was used to assess patients' neurological state prior to IVT and for 24 h after. Early neurological deterioration was defined as occurring if the NIHSS total score increased by ≥ 4 or the NIHSS individual score increased by ≥ 2 compared to baseline. Patients were randomly assigned to training or validation cohorts.

Results

Of the 266 AIS patients receiving IVT who were screened, 217 were deemed eligible for the study. Multivariate logistic regression analysis identified smoking history, NIHSS score, homocysteine level, and neutrophil to lymphocyte ratio as independent factors for predicting early neurological deterioration. ROC analysis was used to assess the quality of the resulting nomogram. The AUC for the training dataset was 0.826 (95 % CI, 0.719-0.932), and for the validation dataset was 0.887 (95 % CI, 0.763-1.000).

Conclusion

The robustness of this nomogram suggests that it may be a reliable tool for evaluating the progression of AIS after IVT.

Systemic Immune-Inflammation Index is a Prognostic Predictor for Patients With Acute Ischemic Stroke Treated With Intravenous Thrombolysis

OBJECTIVE

To investigate whether baseline systemic immune-inflammation index (SII) is associated with 3-month poor prognosis and early neurological outcomes in patients with acute ischemic stroke treated with intravenous thrombolysis.

PATIENTS AND METHODS

A total of 221 consecutive patients were enrolled in the retrospective study. The primary endpoints were poor functional outcomes or death at 3 months. Secondary endpoints were early neurological deterioration (END) or symptomatic intracerebral hemorrhage within 24 hours. Receiver operating characteristic curve analyses was performed to assess the overall discriminative ability of SII in predicting the 4 endpoints. We also performed the Spearman correlation test to evaluate the relationship between SII and stroke severity. Univariable and multivariable logistic regression analyses were performed to evaluate the associations between SII and endpoints.

RESULTS

The cutoff values of SII were 504.99×10 9 /L for predicting a 3-month poor prognosis (sensitivity, 70.9% and specificity, 69.6%), 524.47×10 9 /L for predicting 3-month death (sensitivity, 78.9% and specificity, 59.9%) and 504.99×10 9 /L for predicting END (sensitivity, 70.7% and specificity, 62.6%), respectively. A positive association between SII and the National Institutes of Health Stroke Scale was observed ( rs = 0.306, P < 0.001). Multivariable analyses indicated that SII was independently associated with 3-month poor prognosis [odds ratio (OR) = 5.384; 95% CI: 2.844-10.193; P < 0.001], 3-month death (OR = 2.592, 95% CI: 1.046-6.421, P = 0.040) and END (OR = 3.202, 95% CI: 1.796-5.707, P < 0.001).

CONCLUSION

Increased baseline SII was associated with END and 3-month poor outcomes, and may act as a potential prognostic predictor for acute ischemic stroke patients treated with intravenous thrombolysis.

Prediction of early neurological deterioration in acute ischemic stroke patients treated with intravenous thrombolysis

A proportion of acute ischemic stroke (AIS) patients suffer from early neurological deterioration (END) within 24 hours following intravenous thrombolysis (IVT), which greatly increases the risk of poor prognosis of these patients. Therefore, we aimed to explore the predictors of early neurological deterioration of ischemic origin (ENDi) in AIS patients after IVT and develop a nomogram prediction model. This study collected 244 AIS patients with post-thrombolysis ENDi as the derivation cohort and 155 patients as the validation cohort. To establish a nomogram prediction model, risk factors were identified by multivariate logistic regression analysis. The results showed that neutrophil to lymphocyte ratio (NLR) (OR 2.616, 95% CI 1.640-4.175, P < 0.001), mean platelet volume (MPV) (OR 3.334, 95% CI 1.351-8.299, P = 0.009), body mass index (BMI) (OR 1.979, 95% CI 1.285-3.048, P = 0.002) and atrial fibrillation (AF) (OR 8.012, 95% CI 1.341-47.873, P = 0.023) were significantly associated with ENDi. The area under the curve of the prediction model constructed from the above four factors was 0.981 (95% CI 0.961-1.000) and the calibration curve was close to the ideal diagonal line. Therefore, this nomogram prediction model exhibited good discrimination and calibration power and might be a reliable and easy-to-use tool to predict post-thrombolysis ENDi in AIS patients.

Red blood cell distribution width to platelet ratio predicts early neurological deterioration in acute ischemic stroke patients receiving intravenous thrombolysis

BACKGROUND

Inflammation plays a prominent role in the pathogenesis and progression of acute ischemic stroke (AIS). The red blood cell distribution width to platelet ratio (RPR) has been demonstrated as a novel biomarker to indicate the severity of inflammatory reaction. This study aimed to explore the association between RPR before intravenous thrombolysis and early neurological deterioration (END) after thrombolysis in AIS patients.

METHODS

AIS patients accepting intravenous thrombolysis were recruited continuously. Postthrombolysis END was defined as death or an increase in the National Institute of Health Stroke Scale (NIHSS) score ≥4 points within 24 h after intravenous thrombolysis compared to the NIHSS score before intravenous thrombolysis. We constructed univariate and multivariate logistic regression analyses to investigate the relationship of RPR before intravenous thrombolysis to postthrombolysis END. Moreover, a receiver operating characteristic (ROC) curve was applied to examine the discriminative utility of RPR before intravenous thrombolysis in predicting postthrombolysis END.

RESULTS

A total of 235 AIS patients were included, and 31 (13.19%) subjects underwent postthrombolysis END. The univariate logistic regression analysis demonstrated that RPR before intravenous thrombolysis was significantly related to postthrombolysis END (odds ratio [OR], 2.162; 95% confidence interval [CI], 1.605-2.912; P < 0.001). After adjusting for potential confounding variables with P < 0.15 in the univariate logistic regression analysis, the difference remained statistically significant (OR, 2.031; 95% CI, 1.436-2.873; P < 0.001). Furthermore, an optimal cutoff value of 7.66 for RPR before intravenous thrombolysis in predicting postthrombolysis END was observed in the ROC curve analysis, and the sensitivity and specificity were calculated as 61.3% and 81.9%, respectively (area under the curve [AUC], 0.772; 95% CI, 0.684-0.860; P < 0.001).

CONCLUSIONS

RPR before intravenous thrombolysis might be an independent risk factor for postthrombolysis END in AIS patients. Elevated levels of RPR before intravenous thrombolysis may predict postthrombolysis END.

A Systematic Review of Body Fluids Biomarkers Associated With Early Neurological Deterioration Following Acute Ischemic Stroke

Biomarkers are objectively measured biological properties of normal and pathological processes. Early neurological deterioration (END) refers to the deterioration of neurological function in a short time after the onset of acute ischemic stroke (AIS) and is associated with adverse outcomes. Although multiple biomarkers have been found to predict END, there are currently no suitable biomarkers to be applied in routine stroke care. According to the Preferred Reporting Items for Systematic Review standards, we present a systematic review, concentrating on body fluids biomarkers that have shown potential to be transferred into clinical practice. We also describe newly reported body fluids biomarkers that can supply different insights into the mechanism of END. In our review, 40 scientific papers were included. Depending on the various mechanisms, sources or physicochemical characteristics of body fluids biomarkers, we classified related biomarkers as inflammation, protease, coagulation, metabolism, oxidative stress, and excitatory neurotoxicity. The body fluids biomarkers whose related articles are limited or mechanisms are unknown are categorized as other biomarkers. The inflammation-related biomarkers, such as neutrophil-to-lymphocyte ratio and hypersensitive C-reactive protein, play a crucial role among the mentioned biomarkers. Considering the vast heterogeneity of stroke progression, using a single body fluids biomarker may not accurately predict the risk of stroke progression, and it is necessary to combine multiple biomarkers (panels, scores, or indices) to improve their capacity to estimate END.

Fluid-Attenuated Inversion Recovery Vascular Hyperintensity as a Potential Predictor for the Prognosis of Acute Stroke Patients After Intravenous Thrombolysis

Background

Fluid-attenuated inversion recovery vascular hyperintensity (FVH) can reflect the collateral status, which may be a valuable indicator to predict the functional outcome of acute stroke (AS) patients.

Methods

A total of 190 AS patients with large vessel occlusion (LVO) were retrospectively investigated. All patients completed a 6-month follow-up and their modified Rankin Scale (mRS) scores were recorded at 1, 3, and 6 months after intravenous thrombolysis (IVT). Based on their mRS at 3 months, patients were divided into two groups: poor prognosis (131 patients; 68.9% of all subjects) and favorable prognosis (59 patients; 31.1% of all subjects). The death records of 28 patients were also analyzed in the poor prognosis group.

Results

(1) Univariate and multivariate analyses showed that the higher National Institutes of Health Stroke Scale (NIHSS) score at admission, higher fasting blood glucose, and lower FVH score were independent risk factors to predict the poor prognosis of IVT. (2) Survival analysis indicated that FVH score was the only baseline factor to predict the 6-month survival after IVT. (3) Baseline FVH score had great prediction performance for the prognosis of IVT (area under the curve = 0.853). (4) Baseline FVH score were negatively correlated with the NIHSS score at discharge and mRS score at 1, 3, and 6 months.

Conclusion

Among various baseline clinical factors, only the FVH score might have implications for 3-month outcome and 6-month survival of AS patients after IVT. Baseline FVH score showed great potential to predict the prognosis of the AS patients.

Increased Platelet-to-Lymphocyte Ratio is an Independent Predictor of Hemorrhagic Transformation and In-Hospital Mortality Among Acute Ischemic Stroke with Large-Artery Atherosclerosis Patients

Background

The platelet-to-lymphocyte ratio (PLR) is an inflammation marker of acute ischemic stroke, but its significance in patients with hemorrhage transformation (HT) after acute ischemic stroke with large-artery atherosclerosis (AIS-LAA) is unclear, and we also identified the relationship between PLR and in-hospital mortality of HT after AIS-LAA.

Methods

This was a retrospective analysis of patients with AIS-LAA. The PLR was calculated according to platelet and lymphocyte counts on admission. HT was defined on follow-up magnetic resonance imaging or computed tomography when neurologic deterioration worsened during hospitalization. The univariate analysis and multivariate logistic regression were performed to assess the association of PLR, HT and in-hospital mortality of HT after AIS-LAA.

Results

We included 328 Chinese AIS-LAA patients (mean age 67.2±11.1 years; 70.4% male). HT occurred in 38 patients (11.6%). After multivariate regression analyses, NRL (odds ratio [OR] 1.354, 95% confidence interval [CI] 1.176–1.559, P<0.001) and PLR (odds ratio [OR] 3.869, 95% confidence interval [CI] 2.233–5.702, P<0.001) were independently associated with HT after AIS-LAA. The area under the ROC curve (AUC) value of PLR (0.72, 95% CI (0.64–0.80), P<0.001) tested a greater discriminatory ability compared with neutrophil-lymphocyte ratio (NLR) (0.67, 95% CI (0.58–0.76), P<0.001). Meanwhile, PLR was found to be significantly related to HT after AIS-LAA, including in subtypes of artery-to-artery embolization (aOR 1.699, 95% CI 1.298–3.215, P<0.001), in-situ thrombosis (aOR4.499, 95% CI 1.344–9.054, P<0.001) and branch atheromatous disease (aOR3.239, 95% CI 1.098–8.354, P<0.001). Increased PLR predicts high in-hospital mortality of HT after AIS-LAA (OR 1.041, 95% CI (1.006–1.077), P=0.020; aOR 1.053, 95% CI (1.004–1.104), P=0.034).

Conclusion

High PLR is associated with greater risk of HT in AIS-LAA patients, including in artery-to-artery embolization, in-situ thrombosis and branch atheromatous disease. Meanwhile, increased PLR predicts high in-hospital mortality of HT after AIS-LAA.

Neutrophil-lymphocyte ratio in acute ischemic stroke: Immunopathology, management, and prognosis

There is an ongoing need for accurate prognostic biomarkers in the milieu of acute ischemic stroke (AIS) receiving reperfusion therapy. Neutrophil-lymphocyte ratio (NLR) has been implicated in emergency medicine and acute stroke setting as an important biomarker in the prognosis of patients. However, there are ongoing questions around its accuracy and translation into clinical practice given suboptimal sensitivity and specificity results, as well as varying thresholds and lack of clarity around which NLR time points are most clinically indicative. This article provides a comprehensive overview of the role of NLR in AIS patients receiving reperfusion therapy and perspectives on areas of future research. NLR may be an important biomarker in risk stratifying patients in AIS to identify and select those who are more likely to benefit from reperfusion therapy. Appropriate clinical decision-making tools and models are required to harness the predictive value of NLR, which could be useful in identifying and monitoring high-risk patients to guide early treatment and achieve improved outcomes. Our understanding of the role of NLR in the immunopathogenesis of AIS is also suboptimal, which hinders the ability to translate this into clinical practice.

Unexplained early neurological deterioration after endovascular treatment for acute large vessel occlusion: incidence, predictors, and clinical impact: Data from ANGEL-ACT registry

BACKGROUND

Early neurological deterioration (END) may occur in some patients with acute large vessel occlusion (LVO) undergoing endovascular treatment (EVT). Despite several clear causes of END, such as symptomatic intracranial hemorrhage, failure of recanalization, and intraprocedure complications, a particular END, termed unexplained END (END_unexplained), exists. We aimed to investigate the incidence, independent predictors, and clinical impact of END_unexplained after EVT in patients with acute LVO.

METHODS

Subjects were selected from the ANGEL-ACT registry. END_unexplained was defined as ≥4-point increase in the National Institutes of Health Stroke Scale (NIHSS) score between baseline and 24 hours after EVT, without the causes listed above. Logistic regression analyses were performed to determine the independent predictors of END_unexplained, as well as the association between END_unexplained and 90-day outcomes assessed by modified Rankin Scale (mRS) score.

RESULTS

Among the 1557 enrolled patients, the incidence of END_unexplained was 4.3% (67/1557). Admission NIHSS ≤8 (OR=6.88, 95% CI 3.86 to 12.26, p<0.001), general anesthesia (OR=3.15, 95% CI 1.81 to 5.48, p<0.001), admission neutrophil to lymphocyte ratio >5 (OR=2.82, 95% CI 1.61 to 4.94, p<0.001), and number of EVT attempts >3 (OR=2.11, 95% CI 1.14 to 3.89, p=0.018) were associated independently with a high risk of END_unexplained. Furthermore, patients with END_unexplained were associated with a shift toward worse 90-day outcomes (mRS 5 vs 3, common OR=5.24, 95% CI 3.22 to 8.52, p<0.001).

CONCLUSIONS

END_unexplained associated with poor 90day outcomes occurred in 4.3% of patients with acute LVO undergoing EVT. Several independent predictors of END_unexplained were identified in this study, which should be considered in daily practice to improve acute LVO management.

CLINICAL TRIAL REGISTRATION

http://wwwclinicaltrialsgov NCT03370939.

Increased systemic immune-inflammation index predicts hemorrhagic transformation in anterior circulation acute ischemic stroke due to large-artery atherosclerotic

BACKGROUND AND PURPOSE

Inflammation and immune response play an important role in hemorrhage transformation after acute ischemic stroke. According to previous studies, systemic immune-inflammation index is associated with severity of stroke. We aimed to evaluate the association between systemic immune-inflammation index and hemorrhage transformation in anterior circulation acute ischemic stroke due to large-artery atherosclerosis.

METHODS

This was a retrospective analysis of patients with anterior circulation acute ischemic stroke due to large-artery atherosclerosis. The laboratory data were collected within 24 h after admission. Hemorrhage transformation was defined on follow-up magnetic resonance imaging or Computed Tomography. The univariate analysis and multivariate logistic regression were performed to assess the association of systemic immune-inflammation index with hemorrhage transformation. Then the relationship between systemic immune-inflammation index and hemorrhage transformation in different stroke subtypes was further studied.

RESULTS

We included 310 Chinese anterior circulation acute ischemic stroke patients due to large-artery atherosclerosis (mean age 65 ± 11.4 years; 72.6% male). Hemorrhage transformation occurred in 41 patients (13.2%). After multivariate regression analyses, systemic immune-inflammation index (odds ratio [OR] 1.109, 95% Confidence Interval [CI] 1.054-1.167, p＜0.001) was independently associated with hemorrhage transformation. Systemic immune-inflammation index was found to be significantly related to hemorrhagic transformation in artery-to-artery embolization (OR 1.111, 95% CI 1.029-1.210, p＜0.001) and in-situ thrombosis (OR 1.059, 95% CI 1.011-1.194, p = 0.045).

CONCLUSIONS

Higher systemic immune-inflammation index is associated with greater risk of hemorrhagic transformation in patients with anterior circulation acute ischemic stroke due to large-artery atherosclerosis, especially in artery-to-artery embolization and in-situ thrombosis.

The association of neutrophil to lymphocyte ratio, platelet to lymphocyte ratio, and lymphocyte to monocyte ratio with post-thrombolysis early neurological outcomes in patients with acute ischemic stroke

Background and purpose

To investigate the association of neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and lymphocyte to monocyte ratio (LMR) with post-thrombolysis early neurological outcomes including early neurological improvement (ENI) and early neurological deterioration (END) in patients with acute ischemic stroke (AIS).

Methods

AIS patients undergoing intravenous thrombolysis were enrolled from April 2016 to September 2019. Blood cell counts were sampled before thrombolysis. Post-thrombolysis END was defined as the National Institutes of Health Stroke Scale (NIHSS) score increase of ≥ 4 within 24 h after thrombolysis. Post-thrombolysis ENI was defined as NIHSS score decrease of ≥ 4 or complete recovery within 24 h. Multinomial logistic regression analysis was performed to explore the relationship of NLR, PLR, and LMR to post-thrombolysis END and ENI. We also used receiver operating characteristic curve analysis to assess the discriminative ability of three ratios in predicting END and ENI.

Results

Among 1060 recruited patients, a total of 193 (18.2%) were diagnosed with END and 398 (37.5%) were diagnosed with ENI. Multinomial logistic model indicated that NLR (odds ratio [OR], 1.385; 95% confidence interval [CI] 1.238–1.551, P = 0.001), PLR (OR, 1.013; 95% CI 1.009–1.016, P = 0.001), and LMR (OR, 0.680; 95% CI 0.560–0.825, P = 0.001) were independent factors for post-thrombolysis END. Moreover, NLR (OR, 0.713; 95% CI 0.643–0.791, P = 0.001) served as an independent factor for post-thrombolysis ENI. Area under curve (AUC) of NLR, PLR, and LMR to discriminate END were 0.763, 0.703, and 0.551, respectively. AUC of NLR, PLR, and LMR to discriminate ENI were 0.695, 0.530, and 0.547, respectively.

Conclusions

NLR, PLR, and LMR were associated with post-thrombolysis END. NLR and PLR may predict post-thrombolysis END. NLR was related to post-thrombolysis ENI.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12974-021-02090-6.

Hypersensitive C-reactive protein-albumin ratio predicts symptomatic intracranial hemorrhage after endovascular therapy in acute ischemic stroke patients

Background

Approximately 10% of patients would develop symptomatic intracranial hemorrhage (sICH) after endovascular therapy. The aim of our study was to explore the ability of hypersensitive C-reactive protein-albumin ratio (HAR) in predicting sICH after endovascular therapy.

Methods

From April 2016 to December 2018, 334 consecutive patients with anterior circulation infarction undergoing endovascular therapy were enrolled in our study. sICH was defined using Heidelberg bleeding classification after endovascular therapy. Multiple regression analysis was used to investigate the potential risk factors of sICH after endovascular therapy. We used receiver operating characteristic curve analysis and nomogram analysis to assess the overall discriminative ability of the HAR in predicting sICH after endovascular therapy.

Results

Among these 334 patients enrolled, 37 (11.1%) patients with anterior circulation infarction were identified with sICH after endovascular therapy. Univariate logistic regression analysis demonstrated that patients with higher levels of HAR may be inclined to develop sICH (odds ratio, 10.994; 95% confidence interval, 4.567–26.463; P = 0.001). This association remained significant even after adjustment for potential confounders. Also, a cutoff value of 0.526× 10^− 3 for HAR was detected in predicting sICH (area under curve, 0.763). Furthermore, nomogram analysis also suggested that HAR was an indicator of sICH (c-index was 0.890, P< 0.001).

Conclusions

This study showed that high levels of HAR could predict sICH after endovascular therapy.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12883-021-02066-2.

Neutrophil-to-lymphocyte ratio, hyperglycemia, and outcomes in ischemic stroke patients treated with intravenous thrombolysis

INTRODUCTION

Increased neutrophil-to-lymphocyte ratio (NLR) and hyperglycemia on admission are associated with poor outcomes in acute ischemic stroke (AIS) patients. We sought to evaluate the combined effect of increased NLR and hyperglycemia on the prognosis of ischemia stroke treated with intravenous thrombolysis (IVT).

METHODS

Patients with acute ischemic stroke receiving IVT treatment were prospectively enrolled. All participants were followed for 3 months. According to the levels of NLR and blood glucose, patients were categorized into four groups: high NLR or nonhigh NLR with or without hyperglycemia. The associations between NLR values with or without hyperglycemia and outcomes of stroke after thrombolysis were assessed by multivariable logistic regression analysis.

RESULTS

Among the 381 stroke patients (median age 68 years, 61.68% man) included, 155 (40.68%) had a poor outcome (modified Rankin Scale score 3-6) during 3 months. After multivariate adjustment, high NLR with hyperglycemia increased the risk of 3-month poor outcome (OR = 4.42; 95% CI, 2.13-9.16), early neurological deterioration (END) (OR = 4.81; 95% CI, 2.08-11.12), and 3-month mortality (OR = 6.56; 95% CI, 1.92-22.40). A significant multiplicative interaction of NLR and blood glucose on 3-month poor outcome in ischemic stroke patients after thrombolysis was observed.

CONCLUSIONS

Ischemic stroke patients with concurrent high NLR and hyperglycemia increased risks of END, 3-month poor outcome, and mortality after thrombolysis.

A novel nomogram to predict early neurological deterioration in patients with acute ischaemic stroke

BACKGROUND AND PURPOSE

Acute ischaemic stroke (AIS) is a vital cause of mortality and morbidity in China. Many AIS patients develop early neurological deterioration (END). This study aimed to construct a nomogram to predict END in AIS patients.

METHODS

Acute ischaemic stroke patients in Nanjing First Hospital were recruited as the training cohort. Additional patients in Nantong Third People's Hospital were enrolled as the validation cohort. Multivariate logistic regression was utilized to establish the nomogram. Discrimination and calibration performance of the nomogram were tested by concordance index and calibration plots. Decision curve analysis was employed to assess the utility of the nomogram.

RESULTS

In all, 1889 and 818 patients were recruited in the training and validation cohorts, respectively. Age [odds ratio (OR) 1.075; 95% confidence interval (CI) 1.059-1.091], diabetes mellitus (OR 1.673; 95% CI 1.181-2.370), atrial fibrillation (OR 3.297; 95% CI 2.005-5.421), previous antiplatelet medication (OR 0.473; 95% CI 0.301-0.744), hyper-sensitive C-reactive protein (OR 1.049; 95% CI 1.036-1.063) and baseline National Institutes of Health Stroke Scale (OR 1.071; 95% CI 1.045-1.098) were associated with END and incorporated in the nomogram. The concordance index was 0.826 (95% CI 0.785-0.885) and 0.798 (95% CI 0.749-0.847) in the training and validation cohorts. By decision curve analysis, the model was relevant between thresholds of 0.06 and 0.90 in the training cohort and 0.08 and 0.77 in the validation cohort.

CONCLUSIONS

The nomogram composed of hyper-sensitive C-reactive protein, age, diabetes mellitus, atrial fibrillation, previous antiplatelet medication and baseline National Institutes of Health Stroke Scale may predict the risk of END in AIS patients.

The association between high-sensitivity C-reactive protein at admission and progressive motor deficits in patients with penetrating artery infarctions

BACKGROUND

A fraction of patients with penetrating artery infarction (PAI) experience progressive motor deficit deterioration (PMD). We sought to investigate the role of high-sensitivity C-reactive protein (hs-CRP) at admission in predicting PMD.

METHODS

From January 2015 to September 2018, consecutive patients with PAI from three centers were prospectively enrolled in this study. PMD was defined as worsening of motor function score by ≥1 point on the National Institutes of Health Stroke Scale during the first 5 days after admission. Multivariable logistic regression analyses were performed to explore the relationship between hs-CRP and PMD in patients with PAI. We also performed receiver operating characteristic curve analysis and constructed a nomogram to assess the overall discriminative ability of hs-CRP in predicting PMD.

RESULTS

We ultimately included 544 patients (mean age, 65.4 ± 11.8 years). A total of 85 (15.6%) patients were identified to have PMD. Multivariate logistic regression analysis showed that hs-CRP was independently associated with PMD (P = 0.001). The optimal cutoff value for hs-CRP as a predictor for PMD was 3.48 mg/L, with a sensitivity of 73.64% and a specificity of 82.35% (area under curve, 0.792). Moreover, the nomogram we constructed indicated that higher level of hs-CRP was an indicator of PMD (c-index = 0.780, P < 0.001).

CONCLUSIONS

Our study suggested that hs-CRP might be a useful biomarker for predicting the risk of PMD in patients with PAI.

Neutrophil-lymphocyte ratio predicts post-thrombolysis early neurological deterioration in acute ischemic stroke patients

BACKGROUND AND PURPOSE

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.

METHODS

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.

RESULTS

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).

CONCLUSIONS

This study showed that elevated level of NLR may predict post-thrombolysis END in ischemic stroke patients.