Neutrophil counts, neutrophil ratio, and new stroke in minor ischemic stroke or TIA

Association between systemic inflammatory response index and cerebral small vessel disease

OBJECTIVE

This study aimed to explore the relationship between the Systemic Inflammatory Response Index (SIRI) and Cerebral Small Vessel Disease (CSVD), focusing on its key imaging markers.

METHODS

We enrolled 344 patients admitted to the neurology department between January 2022 and September 2024, comprising 223 patients diagnosed with CSVD and 121 without CSVD. Baseline characteristics were compared between groups, and multivariate logistic regression was performed to assess the impact of SIRI on CSVD risk. Further, univariate and multivariate logistic regression analyses were conducted to examine the relationship between SIRI and CSVD imaging markers, including White Matter Hyperintensity (WMH), lacunes, Perivascular Space (PVS), and Recent Small Subcortical Infarct (RSSI).

RESULTS

Significant differences were observed between the CSVD and non-CSVD groups in terms of age, sex, history of hypertension, diabetes, white blood cell count, neutrophil count, lymphocyte count, homocysteine levels, and SIRI values. Multivariate analysis confirmed that elevated SIRI is independently associated with an increased risk of CSVD. Additionally, higher SIRI values were linked with more severe CSVD imaging features, including moderate-to-severe WMH, the presence of lacunes, and RSSI.

CONCLUSION

These findings demonstrate that elevated SIRI is independently associated with both the occurrence of CSVD and the severity of key imaging markers such as WMH, lacunes, and RSSI. This suggests that SIRI could serve as a useful inflammatory marker for assessing CSVD risk and progression.

Combination of White Matter Hyperintensity and Neutrophil-to-Lymphocyte Ratio Predicts Short-Term Prognosis of Acute Ischemic Stroke Patients

Purpose

To assess the value of combination of white matter hyperintensity (WMH) and neutrophil-to-lymphocyte ratio (NLR) in predicting short-term prognosis of acute ischemic stroke (AIS) patients.

Patients and Methods

Three hundred and nine AIS patients were included in this prospective observational research. They were evaluated at 3-month after the onset of AIS using modified Rankin Scale (mRS) score. A mRS score of 0-2 was defined as a favourable outcome, while an mRS score of 3-6 was defined as an unfavourable outcome. Multivariate analysis was used to identify the independent associations of WMH and NLR with short-term prognosis of AIS patients, and receiver operating characteristic (ROC) curves were used to evaluate the predictive values of WMH, NLR and their combination for short-term prognosis of AIS patients, and Z test was used to compare the area under curve (AUC).

Results

Among 309 AIS patients, 201 (65.0%) had a favorable 3-month outcome, while 108 (35.0%) had an unfavorable outcome. According to the results of multivariate analysis, WMH, NLR and on-admission NIHSS score were independently associated with unfavourable outcome of AIS after adjusting for diabetes mellitus, atrial fibrillation, TOAST subtype and LDL-cholesterol. ROC curves showed that the AUCs of WMH, NLR and their combination for predicting short-term prognosis of AIS patients were 0.760 [standard error (SE): 0.029, 95% confidence interval (CI): 0.703-0.817, P<0.001], 0.717 (SE: 0.030, 95% CI: 0.661-0.774, P<0.001) and 0.906 (SE: 0.019, 95% CI: 0.868-0.944, P<0.001), respectively. The AUC of combination prediction was significantly higher than those of individual predictions (0.906 vs 0.760, Z=4.211, P<0.001; 0.906 vs 0.717, Z=5.322, P<0.001).

Conclusion

WMH and NLR were independently associated with short-term prognosis of AIS patients, and the combination of WMH and NLR could be applied in predicting short-term prognosis of AIS patients, having a high predictive value.

Relationship of Neutrophil Percentage-to-Albumin Ratio With Stroke: Evidence From NHANES 1999-2020

OBJECTIVE

The objective of this research is to examine the association between neutrophil percentage-to-albumin ratio (NPAR) and stroke, providing a reference for the prevention and prognosis of clinical stroke.

METHOD

The study included 56,566 participants from the National Health and Nutrition Examination Survey (NHANES) to explore the association between NPAR and stroke using logistic regression and restricted cubic splines. Upon identifying the nonlinear relationship, inflection points were calculated using recursive algorithms and two-stage linear regression models. Stratified analyses and interaction tests examined variations across population groups.

RESULTS

After adjusting for confounders, NPAR was positively associated with stroke (OR: 1.09, 95% CI: 1.05-1.12). Restricted cubic spline analysis indicated a nonlinear trend. Beyond the inflection point, the increasing trend of stroke incidence with higher NPAR levels began to slow down. This relationship remained nonlinear in males but was linear in females.

CONCLUSION

This study revealed a nonlinear positive association between NPAR and stroke, with higher NPAR increasing the risk of stroke.

Potential Predictive Value of Platelet Distribution Width for Functional Outcome After Ischemic Stroke

Complete blood cell count (CBC) is the most common and readily available laboratory test in clinical practice. The relationships of some CBC indices with ischemic stroke have been reported in observational studies; however, the causal direction is not specified. This study aimed to explore the causal relationships between CBC indices and the modified Rankin Scale (mRS) score at 3 months after ischemic stroke. Genetic associations of 22 blood cell traits were obtained from the UK Biobank database (n = 350,475). The outcome data for ischemic stroke were obtained from the Genetic Ischemic Stroke Functional Outcome (GISCOME) network (n = 6021). We implemented two-sample Mendelian randomization (TSMR) and several complementary analyses to assess the causal association between blood traits and unfavorable outcome (3-month mRS > 2). The clinical cohort was validated based on the results of the MR analysis. TSMR result indicated causal association between genetically determined platelet distribution width (PDW) and adverse functional outcome after ischemic stroke (OR 1.48; 95% CI 1.13-1.95; p = 0.005). Complementary analyses showed negligible causal effect of genetic variants on stroke subtypes. In cohort study (n = 351), higher level of PDW was observed in the unfavorable outcome group. However, the multivariable logistic regression analysis failed to identify the improvement in predictive performance of stroke outcomes by adding PDW to the prediction model. Further correlation analysis revealed that PDW is positively correlated with serum glucose levels, and the level of PDW in the non-thrombolysed group was significantly higher than that in the thrombolysis group, indicating that PDW may be involved in stroke prognosis in an indirect way.

Association between neutrophil-to-lymphocyte ratio and short-term all-cause mortality in patients with cerebrovascular disease admitted to the intensive care unit-a study based on the MIMIC-IV database

Background

Inflammation plays a crucial role in cerebrovascular disease (CVD) progression. Neutrophil-to-lymphocyte ratio (NLR) is an important inflammatory marker, though its diagnostic role in CVD is still under investigation. This study evaluates the relationship between NLR and short-term all-cause mortality in patients with CVD admitted to the intensive care unit (ICU).

Methods

We conducted a retrospective study using data from the Medical Information Mart for Intensive Care (MIMIC-IV) (v2.2) database, including 4,327 adult ICU-admitted CVD patients. NLR values at admission were analyzed alongside various mortality variables. Multivariate Cox proportional hazards regression models and Kaplan-Meier (K-M) survival curves assessed the relationship between NLR and short-term all-cause mortality. Predictive power, sensitivity, specificity, and area under the curve (AUC) of NLR for short-term mortality were investigated using Receiver Operating Characteristic (ROC) analysis. Additionally, restricted cubic spline (RCS) curves and subgroup analyses were conducted.

Results

Among the 4,327 patients, 3,600 survived (survival group) and 727 died (non-survival group) within 28 days of admission (mortality rate: 16.8%). A multivariate Cox regression analysis identified NLR as an independent predictor of 28-day all-cause mortality (hazard ratio: 1.013; 95% confidence interval: 1.0086-1.0188; p < 0.001). The predictive model, incorporating NLR, age, gender, BMI, Charlson comorbidity index (CCI), WBC counts, Platelet, INR, and CRP, achieved an AUC of 0.686 (95% confidence interval: 0.665-0.70). While platelet-to-lymphocyte ratio was also analyzed, its predictive efficiency was less pronounced compared to NLR. A best NLR threshold of 6.19 was determined, distinguishing survivors from non-survivors. Kaplan-Meier survival curves showed that patients with NLR ≥ 6.19 had significantly lower survival rates at 7-, 14-, 21-, and 28-days. Subgroup analyses indicated that NLR did not significantly interact with most subgroups.

Conclusion

NLR may serve as an independent predictor for short-term all-cause mortality in ICU-admitted CVD patients, enhancing our understanding of the association between inflammatory biomarkers and CVD prognosis.

Systemic immune inflammation index and risk of stroke: a cross-sectional study of the National Health and Nutrition Examination Survey 2005-2018

Background

The incidence of stroke has increased globally, resulting in medical expenditures and social burdens over the past few decades. We aimed to explore the relationship between systemic immune inflammatory index (SII) and stroke using the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2018.

Methods

Based on NHANES data, 902 stroke patients and 27,364 non-stroke patients were included in this study. SII was the independent variable and stroke was the dependent variable. Univariate and multivariate logistic regression analyses were used to explore the association between SII and stroke. Restricted cubic spline (RCS) method was used to test the nonlinear association between SII and stroke.

Results

Weighted logistic regression analysis showed a significant association between SII and stroke (OR: 1.985, 95% CI: 1.245-3.166, p = 0.004). The interaction test showed that the association between SII and stroke was not significant between strata (p > 0.05). A significant positive association between SII and stroke risk (OR >1, p < 0.05) was observed in the crude model, model I and model II. RCS analysis showed no nonlinear positive association between SII and stroke risk after adjusting for all confounders.

Conclusion

Our study determined that SII is associated with stroke risk. Given the inherent limitations of cross-sectional studies, further research is necessary to validate the causality of this association and to demystify the underlying mechanisms between inflammation and stroke.

Neutrophil-to-Lymphocyte Ratio, Platelet-to-Lymphocyte Ratio, Systemic Immune Inflammation Index and Efficacy of Remote Ischemic Conditioning in Acute Ischemic Stroke: A Post Hoc Exploratory Analysis of the RICAMIS Study

Background

We conducted a post-hoc analysis of the RICAMIS trial to investigate the effect of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune inflammation index (SII) on the efficacy of remote ischemic conditioning treatment.

Methods

In this post-hoc analysis, NLR, PLR, and SII were measured before randomization. Patients were divided into two groups based on their cut-off values: high vs low NLR, high vs low PLR, and high vs low SII groups. Each group was further subdivided into RIC and control groups. The primary endpoint was a poor outcome (mRS 2-6 at 90 days). Differences in the primary endpoint between the RIC and control subgroups were compared, and the interactions of treatment assignment with NLR, PLR, and SII were evaluated.

Results

A total of 1679 patients were included in the final analysis. Compared with the control group, RIC significantly improved functional outcomes regardless of the inflammation status. The improved probability of poor outcome in the RIC vs control group was numerically greater in the high vs low inflammation group (NLR, 7.8% vs 5.1%; PLR, 7% vs 6.5%; SII, 9% vs 5.3%). However, we did not find an interaction effect of an intervention (RIC or control) with different NLR, PLR, or SII on clinical outcomes (P > 0.05). In addition, the NLR and SII were independently associated with functional outcomes in all patients, regardless of whether they received RIC.

Conclusion

Inflammation may not affect the efficacy of RIC in patients with acute moderate ischemic stroke, although a lower probability of poor outcome at 90 days was identified in patients with a high vs low inflammatory status.

FCER1G as a novel immune-associated blood biomarker in cardiogenic stroke

Background

Cardioembolic stroke (CE) exhibits the highest recurrence rate and mortality rate among all subtypes of cerebral ischemic stroke (CIS), yet its pathogenesis remains uncertain. The immune system plays a pivotal role in the progression of CE. Growing evidence indicates that several immune-associated blood biomarkers may inform the causes of stroke. The study aimed to identify new immune-associated blood biomarkers in patients with CE and create an online predictive tool in distinguishing CE from noncardioembolic stroke (non-CE) in CIS.

Methods

Gene expression profiles that were publicly available were obtained from the Gene Expression Omnibus (GEO). The identification of differentially expressed genes (DEGs) was conducted using the Limma package. The hub module and hub genes were identified through the application of weighted gene coexpression network analysis (WGCNA). In order to identify potential diagnostic biomarkers for CE, both the random forest (RF) model and least absolute shrinkage and selection operator (LASSO) regression analysis were employed. Concurrently, the CIBERSORT algorithm was employed to evaluate the infiltration of immune cells in CE samples and examine the correlation between the biomarkers and the infiltrating immune cells. The diagnostic gene expression in blood samples was confirmed using qRT-PCR in a self-constructed dataset. Univariate and multiple logistic regression analyses were used to identify the risk factors for CE. Subsequently, the mathematical model of the nomogram was employed via Java's "Spring Boot" framework to develop the corresponding online tool, which was then deployed on a cloud server utilizing "nginx".

Results

Eleven differentially expressed genes (DEGs) that were upregulated and seven DEGs that were downregulated were identified. Through bioinformatics analysis and clinical sample verification, it was discovered that Fc Fragment of IgE Receptor Ig (FCER1G) could serve as a novel potential blood biomarker for CE. FCER1G, along with other risk factors associated with CE, were utilized to develop a nomogram. The training and validation sets, which consisted of 65 CIS patients, yielded areas under the curve (AUCs) of 0.9722 and 0.9689, respectively. These results indicate a high level of precision in risk delineation by the nomogram. Furthermore, the associated online predictive platform has the potential to serve as a more efficacious and appropriate predictive instrument (https://www.origingenetic.com/CardiogenicStroke-FCER1G) for distinguishing between CE and non-CE.

Conclusion

Blood biomarker FCER1G has the potential to identify patients who are at a higher risk of cardioembolism and direct the search for occult AF.The utilization of this online tool is anticipated to yield significant implications in terms of distinguishing between CE and non-CE, as well as enhancing the optimization of treatment decision support.

Effects of peripheral blood cells on ischemic stroke: Greater immune response or systemic inflammation?

Ischemic stroke is still one of the most serious medical conditions endangering human health worldwide. Current research on the mechanism of ischemic stroke focuses on the primary etiology as well as the subsequent inflammatory response and immune modulation. Recent research has revealed that peripheral blood cells and their components are crucial to the ensuing progression of ischemic stroke. However, it remains unclear whether blood cell elements are principally in charge of systemic inflammation or immunological regulation, or if their participation is beneficial or harmful to the development of ischemic stroke. In this review, we aim to describe the changes in peripheral blood cells and their corresponding parameters in ischemic stroke. Specifically, we elaborate on the role of each peripheral component in the inflammatory response or immunological modulation as well as their interactions. It has been suggested that more specific therapies aimed at targeting peripheral blood cell components and their role in inflammation or immunity are more favorable to the treatment of ischemic stroke.

Plasma Soluble Angiotensin-Converting Enzyme 2 and Risk of Recurrent Stroke: A Nested Case-Control Analysis

INTRODUCTION

The angiotensin-converting enzyme 2 (ACE-2) and its shedding product (soluble ACE-2 [sACE-2]) are implicated in adverse cardiovascular outcomes. However, the relationship between sACE-2 and stroke recurrence is unknown. Herein, we examined the relationship of sACE-2 with stroke recurrence in patients with ischemic stroke or transient ischemic attack.

METHODS

Data were obtained from the Third China National Stroke Registry (CNSR-III). Eligible cases consisted of 494 patients who developed recurrent stroke within 1-year follow-up, and 494 controls were selected using age- and sex-matched with a 1:1 case-control ratio. Conditional logistic regressions were used to evaluate the association between sACE-2 and recurrent stroke. The main outcomes were recurrent stroke within 1 year.

RESULTS

Among 988 patients included in this study, the median (interquartile range) of sACE-2 was 25.17 (12.29-45.56) ng/mL. After adjustment for conventional confounding factors, the odds ratio (OR) with 95% confidence interval (CI) in the highest quartile versus the lowest quartile was 1.68 (1.12-2.53) for recurrent stroke within 1-year follow-up. Subgroup analysis showed that the association between elevated plasma level of sACE-2 and stroke recurrence was significant in patients with higher systemic inflammation, as indicated by high-sensitivity C-reactive protein ≥ 2 mg/L (adjusted OR: 2.33 [95% CI, 1.15-4.72]) and neutrophil counts ≥ median (adjusted OR: 2.66 [95% CI, 1.35-5.23]) but not significant in patients with lower systemic inflammation.

DISCUSSION/CONCLUSION

Elevated plasma sACE-2 concentration was associated with increased risk of recurrent stroke.

INTRODUCTION

The angiotensin-converting enzyme 2 (ACE-2) and its shedding product (soluble ACE-2 [sACE-2]) are implicated in adverse cardiovascular outcomes. However, the relationship between sACE-2 and stroke recurrence is unknown. Herein, we examined the relationship of sACE-2 with stroke recurrence in patients with ischemic stroke or transient ischemic attack.

METHODS

Data were obtained from the Third China National Stroke Registry (CNSR-III). Eligible cases consisted of 494 patients who developed recurrent stroke within 1-year follow-up, and 494 controls were selected using age- and sex-matched with a 1:1 case-control ratio. Conditional logistic regressions were used to evaluate the association between sACE-2 and recurrent stroke. The main outcomes were recurrent stroke within 1 year.

RESULTS

Among 988 patients included in this study, the median (interquartile range) of sACE-2 was 25.17 (12.29-45.56) ng/mL. After adjustment for conventional confounding factors, the odds ratio (OR) with 95% confidence interval (CI) in the highest quartile versus the lowest quartile was 1.68 (1.12-2.53) for recurrent stroke within 1-year follow-up. Subgroup analysis showed that the association between elevated plasma level of sACE-2 and stroke recurrence was significant in patients with higher systemic inflammation, as indicated by high-sensitivity C-reactive protein ≥ 2 mg/L (adjusted OR: 2.33 [95% CI, 1.15-4.72]) and neutrophil counts ≥ median (adjusted OR: 2.66 [95% CI, 1.35-5.23]) but not significant in patients with lower systemic inflammation.

DISCUSSION/CONCLUSION

Elevated plasma sACE-2 concentration was associated with increased risk of recurrent stroke.

Identification of significant m6A regulators and immune microenvironment characterization in ischemic stroke

The role of m6A modification in the regulation of the immune microenvironment (IME) of ischemic stroke (IS) is barely known. Thus, we aim to investigate the impact of m6A modification on the IME of IS and its diagnostic value in IS. We comprehensively assessed the m6A modification patterns, the relationship between these modification patterns and the characteristics of the IME. The m6A modification patterns of individual IS sample were quantified by m6Ascore. The performance of m6A phenotype-related genes as potential biomarkers was evaluated by the area under the receiver operating characteristic curve. Experimental validation was also performed by qRT-PCR. Six dysregulated m6A regulators were identified and a classification model consisting of four key m6A regulators (METLL3, RBMX, RBM15B, YTDHF3) could distinguish IS and healthy control samples well. METTL3 and YTHDF3 are closely related to circulating neutrophil abundance. Two distinct m6A modification patterns were determined which differed in immunocyte abundance. We also identified six m6A phenotype-related genes (APOBEC3A, PTMA, FCGR3A, LOC440926, LOC649946, and FTH1L11), and further explored their biological function. Among them, APOBEC3A, FCGR3A, and FTH1L11 were positively associated with neutrophil abundance. APOBEC3A and FCGR3A were stable diagnostic m6A-associated genes in both the discovery and validation cohorts. This study reveals that m6A modification plays a non-negligible role in the formation of a diversified and complex IME in IS. The m6A phenotype-related genes could be diagnostic biomarkers of IS.

Low HALP (Hemoglobin, Albumin, Lymphocyte, and Platelet) Score Increases the Risk of Post-Stroke Cognitive Impairment: A Multicenter Cohort Study

Objective

The HALP (hemoglobin, albumin, lymphocyte, and platelet) score is a novel indicator that measures systemic inflammation and nutritional status that has not been correlated with the risk of post-stroke cognitive impairment in patients with acute ischemic stroke or transient ischemic attack (TIA).

Methods

Study participants were recruited from 40 stroke centers in China. The HALP score was derived using a weighted sum of hemoglobin, albumin, lymphocytes and platelets, and study participants were categorized into 4 groups of equal sizes based on quartiles cutoffs of the HALP score. The Montreal Cognitive Assessment (MoCA)-Beijing Cognitive Assessment Scale (MoCA-Beijing) was performed at 2 weeks and 12 months following stroke onset. Post-stroke cognitive impairment was considered in patients with MoCA-Beijing≤22. Multiple logistic regression methods were employed to evaluate the relationship between the HALP score and the subsequent risk of developing post-stroke cognitive impairment.

Results

The study population comprised 1022 patients (mean age 61.6±11.0 years, 73% men). The proportion of individuals with MoCA-Beijing≤22 at 2 weeks was 49.2% and 32.4% at one year. Patients in the lowest quartile of HALP score (<36.56) were observed to harbor the highest risk of post-stroke cognitive impairment at 12 months post-stroke/TIA compared to those in the highest quartile (odds ratio=1.59, 95% CI=1.07-2.37, p=0.022), and lower domain scores for executive function, naming, and attention. There were no statistically significant differences between patients in the different quartiles of HALP score and HALP score at 2 weeks post-stroke/TIA.

Conclusion

The HALP score is a simple score that could stratify the risk of post-stroke cognitive impairment in stroke/TIA patients to facilitate early diagnosis and interventions.

Study of the neutrophil percentage-to-albumin ratio as a biomarker for predicting recurrence of first-episode ischemic stroke

OBJECTIVE

Neutrophils and albumin are associated with recurrence in patients with acute ischemic stroke. The purpose of this study was to evaluate the association between the neutrophil percentage-to-albumin ratio (NPAR) and recurrence in patients with first-episode acute ischemic stroke to identify a more predictive biomarker for ischemic stroke recurrence.

METHODS

In this study, the clinical data of patients with first-episode acute ischemic stroke admitted to the Department of Neurology of Shanxi Bethune Hospital from June 2021 to June 2022 were retrospectively collected, and a total of 829 patients who met the inclusion and exclusion criteria were followed up for 3 months. We evaluated the recurrence of patients within 3 months after acute ischemic stroke. Univariable and multivariable analyses were performed to determine the relationship between the NPAR and recurrence within 3 months in patients with AIS. Finally, ROC curves were used to compare the predicted values of albumin, neutrophil percentage, the neutrophil-to-lymphocyte ratio, and the NPAR.

RESULTS

A total of 829 first-episode acute ischemic stroke patients were included. The median NPAR was 1.60 (IQR 1.44-1.79). The percentage of patients with a 3-month recurrence was 6.0 % (50/829). The multivariate analysis showed that the NPAR was independently associated with the risk of recurrence within 3 months in acute ischemic stroke (OR 9.71, 95 % CI: 3.05-31.62, P < 0.001). The optimal cutoff value of the NPAR for predicting recurrence of acute ischemic stroke within 3 months was 1.78, with a sensitivity of 0.80 and a specificity of 0.75. Compared with the NLR, albumin and neutrophil percentage, the NPAR showed the greatest area under the curve (AUC) [0.78 (0.73, 0.83)]. The AUC test showed that the difference in the NPAR and neutrophil-to-lymphocyte ratio (P = 0.019), NPAR and albumin (P = 0.013), and NPAR and neutrophil percentage (P = 0.007) were statistically significant, while the difference between the other two were not statistically significant (P > 0.05).

CONCLUSION

1. The recurrence rate within 3 months among patients with a first episode of acute ischemic stroke was 6.0 %.2. The NPAR was independently associated with recurrence within 3 months among patients with a first episode of acute ischemic stroke. Moreover, the NPAR may be a more effective biomarker for predicting recurrence in acute ischemic stroke patients than the albumin level, neutrophil percentage, and neutrophil-to-lymphocyte ratio.

Analysis of the Relationship between Recent Small Subcortical Infarcts and Autonomic Nervous Dysfunction

OBJECTIVE

Autonomic Nervous System (ANS) dysfunction may be involved in the pathogenesis of Cerebral Small Vessel Disease (CSVD). The study aimed to explore the relationship between Recent Small Subcortical Infarct (RSSI) and Blood Pressure Variability (BPV), and Heart Rate Variability (HRV).

METHODS

A total of 588 patients from the CSVD registration research database of Henan Province were included in this study, and were divided into two groups according to the presence of RSSI. Clinical data, including demographic characteristics, disease history, laboratory indexes, 24-hour ambulatory blood pressure and electrocardiogram indicators, and imaging markers of CSVD, were collected. Univariate and binary logistic regression analyses were used to study the relationship between RSSI and indicators of laboratory, HRV and BPV in the CSVD population.

RESULTS

Multivariate analysis showed that higher 24-hour mean Diastolic Blood Pressure (DBP)[Odds Ratios (OR)=1.083,95% Confidence Intervals (CI)=(1.038,1.129), p < 0.001], Standard Deviation (SD) of 24-hour DBP [OR=1.059,95%CI=(1.000,1.121), p = 0.049], nocturnal mean Systolic Blood Pressure (SBP) [OR=1.020,95%CI=(1.004,1.035), p = 0.012], nocturnal mean DBP [OR=1.025,95%CI=(1.009,1.040), p = 0.002] were independent risk factors for RSSI. In contrast, the decrease of the standard deviation of N-N intervals (SDNN) [OR=0.994,95%CI=(0.989,1.000), p = 0.035] was beneficial to the occurrence of RSSI. In addition, neutrophil counts [OR=1.138,95%CI=(1.030,1.258), p = 0.011], total cholesterol (TC) [OR=1.203,95%CI=(1.008,1.437), p = 0.041] and High-Density Lipoprotein (HDL) [OR=0.391, 95%CI=(0.195,0.786), p = 0.008] were also independently associated with the occurrence of RSSI. After adjusting for confounding factors, except for TC, the other factors remained associated with the occurrence of RSSI.

CONCLUSION

Increased 24-hour mean DBP, nocturnal mean SBP and DBP, SD of 24-hour DBP and decreased SDNN were independently correlated with RSSI occurrence, suggesting that sympathetic overactivity plays a role in the pathogenesis of RSSI.

Assessment of prognostic biomarkers in sudden sensorineural hearing loss: A systematic review and meta-analysis

Sudden sensorineural hearing loss (SSNHL) is defined as hearing loss of more than 30 dB in less than 72 h. SSNHL is a frequent complaint and an emergency in otolaryngology. Various biomarkers have been used to determine the prognosis of SSNHL. This systematic review and meta-analysis aims to evaluate the relationship between the different biomarkers and the prognosis of SSNHL. We searched English-language literature up to October 2022 in four databases, including PubMed, Google Scholar, Cochrane, and Science Direct. This search was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. This study was reported in the International Prospective Register of Systematic Reviews (PROSPERO) database (ID = CRD42022369538). All studies examining the role of neutrophil to lymphocyte ratio (NLR) concluded that higher NLR is associated with a worse prognosis. The results of studies regarding the relationship between platelet to lymphocyte ratio (PLR) and tumor necrosis factor (TNF) are controversial. Other factors shown to be associated with SSNHL include Glycated hemoglobin (HbA1C), blood glucose, iron levels, serum endocan, salusin-beta, and bone turnover biomarkers. This meta-analysis showed that PLR, NLR, and neutrophils were significantly different between recovered and non-recovered patients. PLR, NLR, and neutrophil count are reliable tools to assess the prognosis of patients with SSNHL.

Neutrophil-to-lymphocyte ratio is associated with stroke progression and functional outcome in patients with ischemic stroke

OBJECTIVE

The objective of the present research was to examine the correlation between the neutrophil-to-lymphocyte ratio (NLR) and stroke progression (SP) as well as the functional outcome following an ischemic stroke (IS).

METHODS

The current study was conducted as prospective observational research. A cohort of 341 participants diagnosed with IS was included in the study from March 2019 to August 2021. This study's primary measure of interest was the occurrence of SP within the initial week following hospital admission. The secondary outcome was functional status 3 months after IS as measured by a modified Rankin scale score. The association between NLR with SP, and poor functional outcomes was examined using multivariate logistic regression. The predictive value of NLR for SP and poor functional outcomes was evaluated using the receiver operating characteristic (ROC) curve.

RESULTS

Among the 341 enrolled patients, 56 (16.4%) had SP, and 285 (83.6%) had no SP. The results of the multivariate logistic regression analysis demonstrated that the existence of diabetes mellitus and the NLR were independently associated with SP and poor functional outcomes. The area under the ROC curve of NLR in predicting poor functional outcome was 0.6117 (95% confidence interval, .5341-.6893, p = .0032), and the optimal cut-off point was 4.2139. The sensitivity and specificity of NLR in predicting poor functional outcomes were 52.7% and 72.0%, respectively.

CONCLUSION

Patients with acute IS exhibited a very high incidence of SP. NLR may be a valuable prognostic indicator in clinical practice because it was independently associated with SP and a poor functional outcome.

Effect of routine inflammatory markers on clinical outcomes in acute basilar artery occlusion after endovascular thrombectomy: Results from ATTENTION registry

BACKGROUND

To investigate the relationship between clinical routine inflammatory markers, including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), mean platelet volume (MPV), white blood cell count (WBC), neutrophils, lymphocytes, and platelets with clinical outcomes in acute basilar artery occlusion (BAO) patients receiving endovascular treatment (EVT).

METHODS

We recruited 2134 acute BAO patients from 48 stroke centers across 22 Chinese provinces in the ATTENTION registry from 2017 to 2021. Blood samples were drawn at admission. An unfavorable functional outcome was defined using a modified Rankin Scale (mRS) of 4-6 at 90 days. Safety outcomes included mortality within 90 days and symptomatic intracerebral hemorrhage within 3 days.

RESULTS

A total of 1044 patients were included in the final study. After adjusting for confounding factors, the upper quartiles of WBC and NLR were related to 90-day unfavorable functional outcome (mRS = 4-6) compared with those in the lowest quartile (WBC: quartile 4, odds ratio (OR) = 1.85, 95% confidence interval (CI) = 1.22-2.80; NLR: quartile 4, OR = 2.02, 95% CI = 1.34-3.06). The higher quartiles of WBC and NLR were also related to the increased risk of mortality at 90 days. Restricted cubic spline regression analysis showed an incremental trend between NLR and 90-day unfavorable functional outcome (Pnonlinearity = 0.055). In subgroup analysis, a significant interaction was found between NLR and bridging therapy for predicting unfavorable functional outcome (P = 0.006).

CONCLUSION

Higher WBC and NLR on admission are significantly related to unfavorable functional outcome and mortality at 90 days in acute BAO patients receiving EVT. Significant interaction was found between increased NLR and bridging therapy on these outcome measures.

Applicability of the low-grade inflammation score in predicting 90-day functional outcomes after acute ischemic stroke

BACKGROUND AND PURPOSE

The low-grade inflammation (LGI) score, a novel indicator of chronic LGI, combines C-reactive protein (CRP), leukocyte counts, the neutrophil/lymphocyte ratio (NLR), and the platelet (PLT) count to predict outcomes of patients with various conditions, such as cardiovascular diseases, cancers, and neurodegenerative diseases. However, few studies have examined the role of the LGI score in predicting functional outcomes of patients with ischemic stroke. The present study aimed to evaluate the association between the LGI score and functional outcomes of patients with ischemic stroke.

METHODS

A total of 1,215 patients were screened in the present study, and 876 patients were finally included in this retrospective observational study based on the inclusion and exclusion criteria. Blood tests were conducted within 24 h of admission. Severity of ischemic stroke was assessed using the NIHSS score with severe stroke denoted by NIHSS > 5. Early neurological deterioration (END) was defined as an increment in the total NIHSS score of ≥ 2 points within 7 days after admission. Patient outcomes were assessed on day 90 after stroke onset using the modified Rankin Scale (mRS).

RESULTS

The LGI score was positively correlated with baseline and the day 7 NIHSS scores (R2 = 0.119, p < 0.001;R2 = 0.123, p < 0.001). Multivariate regression analysis showed that the LGI score was an independent predictor of stroke severity and END. In the crude model, the LGI score in the fourth quartile was associated with a higher risk of poor outcomes on day 90 compared with the LGI score in the first quartile (OR = 5.02, 95% CI: 3.09-8.14, p for trend < 0.001). After adjusting for potential confounders, the LGI score in the fourth quartile was independently associated with poor outcomes on day 90 (OR = 2.65, 95% CI: 1.47-4.76, p for trend = 0.001). Finally, the ROC curve analysis showed an AUC of 0.682 for poor outcomes on day 90 after stroke onset.

CONCLUSION

The LGI score is strongly correlated with the severity of acute ischemic stroke and that the LGI score might be a good predictor for poor outcomes on day 90 in patients with acute ischemic stroke.

Neutrophil-to-lymphocyte ratio and its changes predict the 3-month outcome and mortality in acute ischemic stroke patients after intravenous thrombolysis

BACKGROUND AND PURPOSE

The neutrophil-to-lymphocyte ratio (NLR) has been demonstrated as a prognostic inflammatory biomarker in ischemic stroke. The study aimed to investigate the association of NLR and its dynamic change with long-term outcome and mortality in acute ischemic stroke (AIS) patients who received intravenous thrombolysis (IVT).

METHODS

From a prospective cohort, AIS patients receiving IVT (alteplase, 0.9 mg/kg) with complete NLR data were retrospectively screened. Based on 3-month modified Rankin scale score (mRS), patients were classified into good group (mRS 0-1) and poor outcome group (mRS 2-6), or survival group (mRS 0-5) and death group (mRS 6). Multivariate logistic regression analysis and receiver operating curve were used to identify prognostic factors and their predictive powers.

RESULTS

A total of 259 eligible patients were enrolled in our study. Logistic regression analysis showed that NLR at 24 h (adjusted odds ratio [aOR] 1.182), 12 days (aOR 1.218) after IVT was independent predictors of 3-month outcome with the AUC of 0.815, 0.820, respectively, whereas NLR at 24 h (aOR 1.17), 12 days (aOR 1.252) after IVT and percentage changes of NLR between admission and 24 h after IVT (aOR 1.214), and between admission and 12 days after IVT (aOR 1.233) were independent predictors of 3-month mortality with the AUCs of 0.86, 0.902, 0.814, and 0.855, respectively.

CONCLUSION

The comprehensive report suggests that NLR and its dynamic changes are associated with 3-month outcome and mortality in AIS patients after IVT with good predictive powers.

Utility of neutrophil-to-high-density lipoprotein-cholesterol ratio in patients with coronary artery disease: a narrative review

The neutrophil-to-high-density lipoprotein-cholesterol ratio (NHR) is thought to reflect inflammatory status and dyslipidaemia, both of which play significant roles in coronary artery disease (CAD). The objective of this narrative review is to summarise the results of studies that have explored the utility of NHR for the diagnosis and management of CAD. The PubMed, Google Scholar, Scopus, Embase and Web of Science databases were searched for articles related to NHR from their inception to October 2022. Seven relevant articles were obtained for review. There were unclear relationships of NHR with age, sex, smoking status, hypertension and diabetes. However, NHR had a sensitivity and specificity as high as 94.8% and 59%, respectively, for the identification of significant coronary stenosis. NHR was also a superior predictor of prognosis to conventional parameters. NHR had a sensitivity and specificity as high as 77.6% and 74.2%, respectively, for the prediction of adverse events, including mortality, associated with acute coronary syndrome. Thus, NHR could be used in clinical cardiovascular medicine for risk stratification and the prediction of the short-term and long-term outcomes of CAD. However, more studies are required before a quantitative assessment of the efficacy of NHR for use in patient management can be completed.

Association of admission neutrophil serine proteinases levels with the outcomes of acute ischemic stroke: a prospective cohort study

BACKGROUND

Neutrophil serine proteinases (NSPs), released by activated neutrophils, are key proteins involved in the pathophysiologic processes of stroke. NSPs are also implicated in the process and response of thrombolysis. This study aimed to analyze three NSPs (neutrophil elastase, cathepsin G, and proteinase 3) in relation to acute ischemic stroke (AIS) outcomes and in relation to the outcomes of patients treated with intravenous recombinant tissue plasminogen activator (IV-rtPA).

METHODS

Among 736 patients prospectively recruited at the stroke center from 2018 to 2019, 342 patients diagnosed with confirmed AIS were included. Plasma neutrophil elastase (NE), cathepsin G (CTSG), and proteinase 3 (PR3) concentrations were measured on admission. The primary endpoint was unfavorable outcome defined as modified Rankin Scale score 3-6 at 3 months, and the secondary endpoints were symptomatic intracerebral hemorrhage (sICH) within 48 h, and mortality within 3 months. In the subgroup of patients who received IV-rtPA, post-thrombolysis early neurological improvement (ENI) (defined as National Institutes of Health Stroke Scale score = 0 or decrease of ≥ 4 within 24 h after thrombolysis) was also included as the secondary endpoint. Univariate and multivariate logistic regression analyses were performed to evaluate the association between NSPs levels and AIS outcomes.

RESULTS

Higher NE and PR3 plasma levels were associated with the 3-month mortality and 3-month unfavorable outcome. Higher NE plasma levels were also associated with the risk of sICH after AIS. After adjusting for potential confounders, plasma NE level > 229.56 ng/mL (odds ratio [OR] = 4.478 [2.344-8.554]) and PR3 > 388.77 ng/mL (OR = 2.805 [1.504-5.231]) independently predicted the 3-month unfavorable outcome. Regarding rtPA treatment, patients with NE plasma concentration > 177.22 ng/mL (OR = 8.931 [2.330-34.238]) or PR3 > 388.77 ng/mL (OR = 4.275 [1.045-17.491]) were over 4 times more likely to suffer unfavorable outcomes after rtPA treatment. The addition of NE and PR3 to clinical predictors of unfavorable functional outcome after AIS and the outcome after rtPA treatment improved discrimination as well as reclassification (integrated discrimination improvement = 8.2% and 18.1%, continuous net reclassification improvement = 100.0% and 91.8%, respectively).

CONCLUSIONS

Plasma NE and PR3 are novel and independent predictors of 3-month functional outcomes after AIS. Plasma NE and PR3 also possess predictive value to identify patients with unfavorable outcomes after rtPA treatment. NE is probably an important mediator of the effects of neutrophils on stroke outcomes, which worth further investigation.

The association between neutrophil counts and neutrophil-to-lymphocyte ratio and stress hyperglycemia in patients with acute ischemic stroke according to stroke etiology

BACKGROUND AND PURPOSE

Stress hyperglycemia ratio (SHR), which is used to assess stress hyperglycemia, is associated with the functional outcome of ischemic stroke (IS). IS can induce the inflammatory response. Neutrophil counts and neutrophil-to-lymphocyte ratio (NLR) as good and easily available inflammatory biomarkers, the relationship between neutrophil counts and NLR and SHR were poorly explored in IS. We aimed to systemically and comprehensively explore the correlation between various blood inflammation markers (mainly neutrophil counts and NLR) and SHR.

METHODS

Data from 487 patients with acute IS(AIS) in Xiangya Hospital were retrospectively reviewed. High/low SHR groups according to the median of SHR (≤1.02 versus >1.02). Binary logistic regression analysis was used to evaluate the correlation between neutrophil counts and NLR and high SHR group. Subgroup analyses were performed in the TOAST classification and functional prognosis.

RESULTS

The neutrophil counts and NLR were all clearly associated with SHR levels in different logistic analysis models. In the subgroup analysis of TOAST classification, the higher neutrophil counts and NLR were the independent risk factors for high SHR patients with large-artery atherosclerosis (LAA) (neutrophil: adjusted OR:2.047, 95% CI: 1.355-3.093, P=0.001; NLR: adjusted OR:1.315, 95% CI: 1.129-1.530, P<0.001). The higher neutrophil counts were the independent risk factor for high SHR patients with cardioembolism (CE) (adjusted OR:2.413, 95% CI: 1.081-5.383, P=0.031). ROC analysis showed that neutrophil counts was helpful for differentiating high SHR group with CE and low SHR group with CE (neutrophil: AUC =0.776, P=0.002). However, there were no difference in levels of neutrophil counts and NLR between patients with SVO and without SVO. The higher neutrophil counts and NLR independently associated with high SHR patients with mRS ≤2 at 90 days from symptom onset, (neutrophil: adjusted OR:2.284, 95% CI: 1.525-3.420, P<0.001; NLR: adjusted OR:1.377, 95% CI: 1.164-1.629, P<0.001), but not in patients with mRS >2.

CONCLUSIONS

This study found that the neutrophil counts and NLR are positively associated with SHR levels in AIS patients. In addition, the correlation between neutrophil counts and NLR and different SHR levels are diverse according to TOAST classification and functional prognosis.

Neutrophil to high-density lipoprotein cholesterol ratio predicts adverse cardiovascular outcomes in subjects with pre-diabetes: a large cohort study from China

Background

This study aimed to examine whether the neutrophil to high-density lipoprotein cholesterol ratio (NHR) can predict cardiovascular outcomes in normoglycemic individuals with elevated fasting glucose levels.

Methods

A total of 130,801 participants with normal blood glucose levels were enrolled in the Kailuan study. Participants were categorized according to NHR quartiles and further divided into normal glucose regulation (NGR) and pre-diabetes (pre-DM) subgroups. The follow-up endpoint was major adverse cardiovascular events (CVE), including stroke and myocardial infarction.

Results

Over a median of 12.53 (8.95–13.08) years of follow-up, subjects with NHR levels in the highest quartile experienced more CVE than those with NHR levels in the lowest quartile. Multivariate Cox analyses showed that continuous changes in NHR (hazard ratio, 1.21; 95% confidence interval [CI], 1.15–1.28) and the highest quartile of NHR (hazard ratio, 1.30; 95% CI, 1.21–1.39) were independent predictors of CVE (all P < 0.001). Furthermore, when participants were categorized by both NHR quartile and glucose metabolism status, the NHR level in the highest quartile plus pre-DM group was associated with a 1.60-fold (95% CI, 1.38–1.86; P < 0.001] higher risk of CVE than that in the lowest quartile plus normoglycemic group. Significantly, the addition of NHR only, presence of pre-DM only, or combination of NHR and pre-DM to the prediction algorithm, including traditional risk factors, improved the C-statistic by 0.19, 0.05, and 0.23 (all P < 0.001).

Conclusions

Elevated NHR or fasting blood glucose level were independently associated with a higher risk of CVE among normoglycemic individuals. Moreover, pre-DM participants with high NHR levels tended to have worse prognosis, suggesting that NHR could provide greater risk stratification value than traditional risk factors for subjects with pre-DM.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12944-022-01695-x.

High neutrophil counts before endovascular treatment for acute basilar artery occlusion predict worse outcomes

Background and purpose

Ischemic stroke is related to inflammation. We investigated leukocyte counts, neutrophil counts, and NLR (neutrophil-to-lymphocyte ratio) to explore their prognostic potential and determine if high neutrophil counts before endovascular treatment (EVT) in patients with acute basilar artery occlusion (BAO) are associated with worse outcomes at 90 days post-EVT.

Methods

Leukocyte and neutrophil counts and NLR were determined in eligible patients from the Acute Basilar Artery Occlusion Study (BASILAR). Patients were divided into four groups according to leukocyte and neutrophil counts and NLR quartiles. The primary outcome was a favorable outcome based on the modified Rankin Scale (mRS: 0–3). The secondary outcome was functional independence (mRS 0–2). The safety outcome was mortality, and an unfavorable outcome was mRS 4–6. Successful reperfusion was mTICI (modified Thrombolysis in Cerebral Infarction) of 2b or 3. All the data were collected within 90 days after EVT.

Results

We enrolled 586 patients in the study. The leukocyte and neutrophil counts and NLR were significantly associated with clinical outcomes in all patients though no effects were seen in some intervals. Of these three parameters, the neutrophil count had the most significant impact, negatively affecting the outcome. The findings were similar in patients who were successfully recanalized.

Conclusion

Higher neutrophil counts predicted worse clinical outcomes 90 days after EVT. This finding supports the deleterious role of inflammation in patients with acute BAO despite EVT or successful recanalization.

GDF-15 and sST-2 act as biomarkers of disease severity but not independent predictors in idiopathic membranous nephropathy

BACKGROUND

We aimed to explore biomarkers of disease severity in idiopathic membranous nephropathy (IMN) and independent predictors of prognosis in IMN.

METHODS

Clinical data were collected from 79 IMN patients. Serum levels of growth differentiation factor-15 (GDF-15) and soluble suppression of tumorigenicity (sST-2) were tested by enzyme-linked immunosorbent assay (ELISA) in IMN patients and subgroups, and correlation analysis was performed. Univariate and multiple logistic regression analyses were performed to identify independent predictors of IMN, and a combined-factors model was constructed. Moreover, the area under the receiver operating characteristic (ROC) curve (AUC) was used to evaluate the prognostic efficacy.

RESULTS

The levels of GDF-15 were significantly higher in the IMN group and subgroups with low estimated glomerular filtration rate (eGFR) and high 24 hour-urine protein (24 h-UP), whiles sST-2 level was only significantly higher in the IMN group. GDF-15 levels were positively correlated with creatinine (Crea), cystatin C (Cys-C) and 24 h-UP and negatively correlated with GFR and albumin (Alb), while sST-2 levels were positively correlated with Urea and Cys-C and negatively correlated with eGFR. After one year of follow-up, 54 patients had incomplete remission. Serum phospholipase A2 receptor antibody (PLA2R-Ab), Urea, high-density lipoprotein cholesterol (HDL-C) and 24 h-UP but not GDF-15 and sST2 were independent predictors of prognosis in IMN patients, but combined factors showed the best prognostic efficacy.

CONCLUSION

Serum levels of GDF-15 and sST-2 may be potential biomarkers for the severity of IMN, while the combined-factors model is effective for predicting the risk factors of incomplete remission in IMN.

Rapid triage for ischemic stroke: a machine learning-driven approach in the context of predictive, preventive and personalised medicine

BACKGROUND

Recognising the early signs of ischemic stroke (IS) in emergency settings has been challenging. Machine learning (ML), a robust tool for predictive, preventive and personalised medicine (PPPM/3PM), presents a possible solution for this issue and produces accurate predictions for real-time data processing.

METHODS

This investigation evaluated 4999 IS patients among a total of 10,476 adults included in the initial dataset, and 1076 IS subjects among 3935 participants in the external validation dataset. Six ML-based models for the prediction of IS were trained on the initial dataset of 10,476 participants (split participants into a training set [80%] and an internal validation set [20%]). Selected clinical laboratory features routinely assessed at admission were used to inform the models. Model performance was mainly evaluated by the area under the receiver operating characteristic (AUC) curve. Additional techniques-permutation feature importance (PFI), local interpretable model-agnostic explanations (LIME), and SHapley Additive exPlanations (SHAP)-were applied for explaining the black-box ML models.

RESULTS

Fifteen routine haematological and biochemical features were selected to establish ML-based models for the prediction of IS. The XGBoost-based model achieved the highest predictive performance, reaching AUCs of 0.91 (0.90-0.92) and 0.92 (0.91-0.93) in the internal and external datasets respectively. PFI globally revealed that demographic feature age, routine haematological parameters, haemoglobin and neutrophil count, and biochemical analytes total protein and high-density lipoprotein cholesterol were more influential on the model's prediction. LIME and SHAP showed similar local feature attribution explanations.

CONCLUSION

In the context of PPPM/3PM, we used the selected predictors obtained from the results of common blood tests to develop and validate ML-based models for the diagnosis of IS. The XGBoost-based model offers the most accurate prediction. By incorporating the individualised patient profile, this prediction tool is simple and quick to administer. This is promising to support subjective decision making in resource-limited settings or primary care, thereby shortening the time window for the treatment, and improving outcomes after IS.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s13167-022-00283-4.

Association of inflammatory markers with cerebral small vessel disease in community-based population

Background

This study investigated the relationships of neutrophil count (NC), neutrophil-to-lymphocyte ratio (NLR) and systemic immune-inflammation index (SII) with cerebral small vessel disease (CSVD).

Methods

A total of 3052 community-dwelling residents from the Poly-vasculaR Evaluation for Cognitive Impairment and vaScular Events (PRECISE) study were involved in this cross-sectional study. CSVD burden and imaging markers, including white matter hyperintensity (WMH), lacunes, cerebral microbleeds (CMBs) and enlarged perivascular spaces in basal ganglia (BG-EPVS), were assessed according to total CSVD burden score. The associations of NC, NLR and SII with CSVD and imaging markers were evaluated using logistic regression models. Furthermore, two-sample Mendelian randomization (MR) analysis was performed to investigate the genetically predicted effect of NC on CSVD. The prognostic performances of NC, NLR and SII for the presence of CSVD were assessed.

Results

At baseline, the mean age was 61.2 ± 6.7 years, and 53.5% of the participants were female. Higher NC was suggestively associated with increased total CSVD burden and modified total CSVD burden (Q4 vs. Q1: common odds ratio (cOR) 1.33, 95% CI 1.05–1.70; cOR 1.28, 95% CI 1.02–1.60) and marginally correlated with the presence of CSVD (OR 1.29, 95% CI 1.00–1.66). Furthermore, elevated NC was linked to a higher risk of lacune (OR 2.13, 95% CI 1.25–3.62) and moderate-to-severe BG-EPVS (OR 1.67, 95% CI 1.14–2.44). A greater NLR was related to moderate-to-severe BG-EPVS (OR 1.68, 95% CI 1.16–2.45). Individuals with a higher SII had an increased risk of modified WMH burden (OR 1.35, 95% CI 1.08–1.69) and moderate-to-severe BG-EPVS (OR 1.70, 95% CI 1.20–2.41). MR analysis showed that genetically predicted higher NC was associated with an increased risk of lacunar stroke (OR 1.20, 95% CI 1.04–1.39) and small vessel stroke (OR 1.21, 95% CI 1.06–1.38). The addition of NC to the basic model with traditional risk factors improved the predictive ability for the presence of CSVD, as validated by the net reclassification index and integrated discrimination index (all p < 0.05).

Conclusions

This community-based population study found a suggestive association between NC and CSVD, especially for BG-EPVS and lacune, and provided evidence supporting the prognostic significance of NC.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12974-022-02468-0.

Predictive values of Baseline MMP9 Levels in Peripheral Blood on 3-Month outcomes of high-risk patients with minor stroke or TIA

OBJECTIVE

To explore the relationship between baseline levels of matrix metalloproteinase 9 (MMP9) in peripheral blood and the outcomes in patients with acute minor stroke and transient ischemic attack (TIA).

METHODS

We assessed data from patients with acute minor ischemic stroke or TIA who were included in the CHANCE trial. Baseline level of MMP9 in peripheral blood is classified into five quintiles. We assessed the relationship between the baseline MMP9 and outcomes of stroke recurrence, composite vascular events, and poor functional outcomes within 90 days after stroke onset.

RESULTS

Of the 3014 patients included, 295 (9.79%) had recurrent stroke, 289 (9.59%) had recurrent ischemic stroke, 297 (9.85%) had combined vascular events, and 199 (6.64%) had poor functional outcomes within 90 days. Using MMP9 concentrations near HR = 1 (Q3) in restricted cubic splines as the reference. The result showed that, compared to patients in Q3 group, patients in the highest quintile (Q5 group) had an increased risk of poor functional outcomes at 90 days after adjusted the risk factors and confounders (P = 0.030), may be associated with an increased risk of combined vascular events (P = 0.052). Using Cox regression models or logistic regression models with restricted cubic spline, we also observed that higher MMP9 ratios were associated with an increased risk of stroke recurrence, combined events, and poor functional outcomes at a range of concentrations.

CONCLUSIONS

For patients with acute minor stroke or TIA, higher baseline MMP9 level was associated with an increased risk of poor functional outcomes, might be related to stroke recurrence and combined vascular events.

Predictive Value of the Systemic Immune Inflammation Index for Adverse Outcomes in Patients With Acute Ischemic Stroke

Background and Purpose

The systemic immune-inflammation index, a new index based on platelets, neutrophils and lymphocytes, has been shown to be associated with outcomes of patients with venous sinus thrombosis and cancer. However, its application in acute ischemic stroke has rarely been reported. Therefore, we examined the relationship between systemic immune-inflammation index levels at hospital admission and the outcomes of patients 3 months after onset, and plotted a nomogram to predict the probability of adverse outcomes in patients with acute ischemic stroke.

Methods

We retrospectively analyzed a total of 208 patients with acute ischemic stroke who were admitted between January 2020 and December 2020, and recorded the modified Rankin score 3 months later. A modified Rankin score ≥ 3 was defined as an adverse outcome. Age, sex, NIHSS score, SII, hypertension and coronary heart disease were included in the binary logistic regression, and the nomogram was plotted with a regression equation.

Results

Receiver operating characteristic (ROC) curve analysis indicated that the best cutoff value of the systemic immune-inflammation index was 802.8, with a sensitivity of 70.9% and specificity of 58.2% (area under the curve: 0.657, 95% confidence interval: 0.572–0.742). The nomogram had a C index of 0.802. The average error of the calibration curves of the training set and the validation set was 0.021 and 0.034, respectively.

Conclusion

The systemic immune-inflammation index is associated with short-term adverse outcomes in patients with acute ischemic stroke, and the nomograms can predict the risk of adverse outcomes in patients with acute ischemic stroke.

Cerebral Ischemic Complications After Surgical Revascularization for Moyamoya Disease: Risk Factors and Development of a Predictive Model Based on Preoperative Nutritional Blood Parameters

Objectives

Cerebral ischemic complications are common after revascularization in patients with moyamoya disease (MMD). Risk factors from specific laboratory variables have only been assessed by limited research. This study was to investigate the association between postoperative cerebral ischemia and nutritional blood parameters and examine predictive values of such risk factors in adults.

Methods

Preoperative demographics and nutritional blood parameters of patients with MMD who received revascularization at our institution from 2012 to 2021 were retrospectively reviewed. Univariate analysis and multivariable logistic regression were used to identify independent risk factors for the onset of postoperative cerebral ischemic complications. Predictive values were tested and a model incorporating these independent risk factors was created using the R program. Area under the receiver operating characteristic curve (AUC) was used for testing its discriminability.

Results

Postoperative cerebral ischemic complications occurred in 32 patients of 100 included procedures. Surgery on the left hemisphere, lower admission modified Rankin Scale (mRS) score, aberrant nutritional parameters including low white blood cell (WBC), and high total cholesterol (TC) were significantly associated with cerebral ischemic complications after revascularization. The intriguing role of WBC might be explained by altered immunomodulation. The AUC of this model with novel nutritional parameters yielded a value of 0.811, presenting better predictive accuracy. Additionally, the model was visualized in the form of a nomogram and translated into a user-friendly calculator to generate individual risk.

Conclusions

Surgical side, admission mRS score, WBC, and TC were independent risk factors for postoperative cerebral ischemic complications. The model composed of these four parameters was promising to be adopted in clinical practice.

Dual antiplatelet therapy improves functional recovery and inhibits inflammation after cerebral ischemia/reperfusion injury

Background

Dual antiplatelet therapy with aspirin and clopidogrel (ASA + CPG) during the first 21 days has been shown to reduce the risk of major ischemic events in patients with transient ischemic attack (TIA) or minor stroke. However, the mechanisms underlying combination treatment with ASA + CPG in experimental ischemic stroke has not been fully elucidated.

Methods

Minor cerebral ischemia was induced in mice by transient distal middle cerebral artery occlusion (tdMCAO). Two doses of ASA + CPG (12 and 24 mg/kg/day) or vehicle were administered by gavage daily. Neurological behaviors were assessed using the modified Garcia scores, Rotarod test, Y maze, and open field test. Platelet function was assessed in vitro by flow cytometry and in vivo by bleeding and clotting time. The neutrophil ratio and the levels of inflammatory cytokines were measured by flow cytometry and the Meso Scale Discovery (MSD) electrochemilunimescence, respectively.

Results

Sensorimotor function was partially recovered with ASA + CPG treatment after ischemia. Anxiety levels and cognitive functions showed improvement in the ASA + CPG group at 12 mg/kg/day after 21 days. Both tail bleeding time and flow cytometry showed significantly decreased platelet function after ASA + CPG treatment. Notably, ASA + CPG at 12 mg/kg/day prolonged clotting time at 28 days after injury. Furthermore, the ratio of neutrophils, an indicator of inflammation, was reduced with 12 mg/kg/day ASA + CPG treatment in the bone marrow (BM) at 21 days and in the peripheral blood (PB) at 21 and 28 days after tdMCAO. Both doses of ASA + CPG decreased pro-inflammatory cytokine interleukin (IL)-6 expression 21 days after stroke. Taken together, these results demonstrated that combination treatment with ASA + CPG improved long-term neurological function after stroke and may inhibit platelet-neutrophil interaction by decreasing the concentration of pro-inflammatory cytokine, IL-6.

Conclusions

These findings indicate a neuroprotective effect of combination treatment with ASA + CPG for a duration of 21 days in an experimental acute minor stroke model. These findings provide further evidence that dual antiplatelet therapy may be a viable neuroprotective treatment to decrease the recurrence of stroke.

A Nomogram That Includes Neutrophils and High-Density Lipoprotein Cholesterol Can Predict the Prognosis of Acute Ischaemic Stroke

Lipids are implicated in inflammatory responses affecting acute ischaemic stroke prognosis. Therefore, we aimed to develop a predictive model that considers neutrophils and high-density lipoprotein cholesterol to predict its prognosis. This prospective study enrolled patients with acute ischaemic stroke within 24 h of onset between January 2015 and December 2017. The main outcome was a modified Rankin Scale score ≥3 at the 90th day of follow-up. Patients were divided into training and testing sets. The training set was divided into four states according to the median of neutrophils and high-density lipoprotein cholesterol levels in all patients. Through binary logistic regression analysis, the relationship between factors and prognosis was determined. A nomogram based on the results was developed; its predictive value was evaluated through internal and external validations. Altogether, 1,090 patients were enrolled with 872 (80%) and 218 (20%) in the training and testing sets, respectively. In the training set, the major outcomes occurred in 24 (10.4%), 24 (11.6%), 37 (17.2%), and 49 (22.3%) in states 1–4, respectively (P = 0.002). Validation of calibration and decision curve analyses showed that the nomogram showed better performance. The internal and external testing set receiver operating characteristics verified the predictive value [area under the curve = 0.794 (0.753–0.834), P &lt; 0.001, and area under the curve = 0.973 (0.954–0.992), P &lt; 0.001, respectively]. A nomogram that includes neutrophils and high-density lipoprotein cholesterol can predict the prognosis of acute ischaemic stroke, thus providing us with an effective visualization tool.

Neutrophil to lymphocyte ratio is not related to carotid atherosclerosis progression and cardiovascular events in the primary prevention of cardiovascular disease: Results from the IMPROVE study

Inflammation is a component of the pathogenesis of atherosclerosis and is associated with an increased risk of atherosclerotic cardiovascular disease (ASCVD). The neutrophil to lymphocyte ratio (NLR) is a possible inflammation metric for the detection of ASCVD risk, although results of prospective studies are highly inconsistent on this topic. We investigated the cross-sectional relationship between NLR and carotid intima-media thickness (cIMT) in subjects at moderate-to-high ASCVD risk. The prospective association between NLR, cIMT progression, and incident vascular events (VEs) was also explored. In 3341 subjects from the IMT-Progression as Predictors of VEs (IMPROVE) study, we analyzed the association between NLR, cIMT, and its 15-month progression. The association between NLR and incident VEs was also investigated. NLR was positively associated with cross-sectional measures of cIMT, but not with cIMT progression. The association between NLR and cross-sectional cIMT measures was abolished when adjusted for confounders. No association was found between NRL and incident VEs. Similarly, there were no significant differences in the hazard ratios (HRs) of VEs across NLR quartiles. NLR was neither associated with the presence and progression of carotid atherosclerosis, nor with the risk of VEs. Our findings do not support the role of NLR as a predictor of the risk of atherosclerosis progression and ASCVD events in subjects at moderate-to-high ASCVD risk, in primary prevention. However, the usefulness of NLR for patients at a different level of ASCVD risk cannot be inferred from this study.

Neutrophil to lymphocyte ratio and adverse clinical outcomes in patients with ischemic stroke

Background

Neutrophils and lymphocytes mediate differential inflammatory responses after ischemic stroke and have different effects on patients’ clinical outcomes. Several studies have used the neutrophil to lymphocyte ratio (NLR) as a prognostic indicator for ischemic stroke; however, some limitations remain.

Methods

We derived data from the Third China National Stroke Registry. The NLR is defined as neutrophil count/lymphocyte count. Patients included in the study were classified into four groups by NLR quartiles. Odds ratios (ORs) of adverse clinical outcomes were calculated with the lowest quartile group as the reference category. We plotted receiver operating characteristic (ROC) curves of NLR for adverse clinical outcomes and calculated area under the curve (AUC) values and cutoff values. Under different TOAST classifications, medians of NLR and ORs of adverse clinical outcomes were also calculated. Furthermore, interaction tests between NLR and etiology were performed.

Results

A total of 13,018 patients were enrolled. At both 3- and 12-month follow-ups, higher quartile groups were associated with increased risks of death and poor functional outcomes, even after adjustments. For death, the cutoff values of NLR were 3.872 at 3-month follow-up and 3.180 at 12-month follow-up. For poor functional outcomes, the cutoff value of NLR was 2.846 at both 3- and 12-month follow-ups. The association between NLR and stroke recurrence was significant only at 3-month follow-up before adjustments. There was no correlation between NLR and hemorrhagic transformation during hospitalization. Under different TOAST classifications, the medians of NLR were different; conversely, the correlations of NLR with adverse clinical outcomes had no differences.

Conclusions

High level of NLR within the first 24 h after admission was associated with increased risks of both short- and long-term adverse clinical outcomes in patients with ischemic stroke, regardless of etiology.

The Neutrophil-to-Lymphocyte and Platelet-to-Lymphocyte Ratios Predict Reperfusion and Prognosis after Endovascular Treatment of Acute Ischemic Stroke

Background: Studies assessing the prognostic effect of inflammatory markers of blood cells on the outcomes of patients with acute ischemic stroke treated with endovascular treatment (EVT) are sparse. We evaluated whether the neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) affect reperfusion status in patients receiving EVT. Methods: Using a multicenter registry database, 282 patients treated with EVT were enrolled in this study. The primary outcome measure was unsuccessful reperfusion rate after EVT defined by thrombolysis in cerebral infarction grades 0–2a. Logistic regression analysis was performed to analyze the association between NLR/PLR and unsuccessful reperfusion rate after EVT. Results: Both NLR and PLR were higher in the unsuccessful reperfusion group than in the successful reperfusion group (p < 0.001). Multivariate analysis showed that both NLR and PLR were significantly associated with unsuccessful reperfusion (adjusted odds ratio (95% confidence interval): 1.11 (1.04–1.19), PLR: 1.004 (1.001–1.01)). The receiver operating characteristic curve showed that the predictive ability of both NLR and PLR was close to good (area under the curve (AUC) of NLR: 0.63, 95% CI (0.54–0.72), p < 0.001; AUC of PLR: 0.65, 95% CI (0.57–0.73), p < 0.001). The cutoff values of NLR and PLR were 6.2 and 103.6 for unsuccessful reperfusion, respectively. Conclusion: Higher NLR and PLR were associated with unsuccessful reperfusion after EVT. The combined application of both biomarkers could be useful for predicting outcomes after EVT.

Neutrophil-Related Ratios Predict the 90-Day Outcome in Acute Ischemic Stroke Patients After Intravenous Thrombolysis

Background and Purpose

Mounting researches have illuminated that the neutrophil-related ratios were related to the prognosis of acute ischemic stroke (AIS). However, few have compared their predictive value and accuracy. To make such comparison and identify the best indicator on the 90-day outcome, we investigated biomarkers including neutrophil ratio (Nr), neutrophil count (Nc), lymphocyte (L), neutrophil-to-lymphocyte ratio (NLR), platelet (P or PLT), platelet-to-neutrophil ratio (PNR), NLR-to-platelet ratio (NLR/PLT), eosinophil (E), neutrophil-to-eosinophil ratio (NER), monocyte (M), and monocyte-to-neutrophil ratio (MNR).

Methods

This retrospective study recruited 283 AIS and 872 healthy controls (HCs) receiving intravenous thrombolysis (IVT). Blood samples were collected after 24 h of admission before IVT. Propensity Score Matching (PSM) was used to explore whether these ratios differentiated AIS and HCs. We applied univariate and multivariate analyses to evaluate the prediction effect of these ratios separately or added in the model and figured out a clinical prediction model. To estimate the discrimination and calibration of the new models, the receiver operating characteristics (ROC) curve analysis, DeLong method, and likelihood ratio test (LR test) were utilized.

Results

PSM showed that Nr, Nc, NLR, P, PNR, NLR/PLT, NER, and MNR facilitates the differentiation of the HCs and AIS. Among the eight biomarkers, PNR and MNR could differentiate the 90-day outcome, and it was found out that PNR performed better. Univariate regression analysis demonstrated that PNR was the only independent predictor which needs no adjustment. Besides, the multivariate regression analysis, Delong method, and LR test indicated that among the neutrophil-related ratios, NLR, PNR, NLR/PLT, NER, and MNR exerted little influence on the discrimination but could enhance the calibration of the base model, and NER proved to work best.

Conclusion

Low PNR was the best indicator among the neutrophil-related ratios tin predicting a poor 90-day outcome of AIS patients. Moreover, high NER performed best when predicting the 90-day outcome to improve the calibration of the base model.

Neutrophil Counts as Promising Marker for Predicting In-Hospital Mortality in Aneurysmal Subarachnoid Hemorrhage

BACKGROUND AND PURPOSE

Systemic inflammation is recognized as a hallmark of stroke. We aimed to evaluate the prognostic value of various inflammatory factors using blood at admission in patients with aneurysmal subarachnoid hemorrhage.

METHODS

In a multicenter observational study of patients with aneurysmal subarachnoid hemorrhage, the counts of neutrophil, platelet, and lymphocyte were collected on admission. Patients were stratified based on neutrophil counts with propensity score matching to minimize confounding. We calculated the adjusted odds ratios with 95% CIs for the primary outcome of in-hospital mortality and hospital-acquired infections.

RESULTS

A total of 6041 patients were included in this study and 344(5.7%) of them died in hospital. Propensity score matching analyses indicated that compared with the lower neutrophil counts, higher neutrophil counts were associated with increased risk of in-hospital mortality (odds ratio, 1.53 [95% CI, 1.14-2.06]), hospital-acquired infections (odds ratio, 1.61 [95% CI, 1.38-1.79]), and delayed neurological ischemic deficits (odds ratio, 1.52 [95% CI, 1.09-1.97]). Moreover, out of all the inflammatory factors studied, neutrophil counts demonstrated the highest correlation with in-hospital mortality and hospital-acquired infections.

CONCLUSIONS

Among patients with aneurysmal subarachnoid hemorrhage, high neutrophil counts at admission were associated with increased mortality and hospital-acquired infections. The neutrophil count is a simple, useful marker with prognostic value in patients with aneurysmal subarachnoid hemorrhage.

Blood-Based Biomarkers: A Forgotten Friend of Hyperacute Ischemic Stroke

Ischemic stroke (IS) is the second leading cause of death worldwide. Multimodal neuroimaging techniques that have significantly facilitated the diagnosis of hyperacute IS are not widely used in underdeveloped areas and community hospitals owing to drawbacks such as high cost and lack of trained operators. Moreover, these methods do not have sufficient resolution to detect changes in the brain at the cellular and molecular levels after IS onset. In contrast, blood-based biomarkers can reflect molecular and biochemical alterations in both normal and pathophysiologic processes including angiogenesis, metabolism, inflammation, oxidative stress, coagulation, thrombosis, glial activation, and neuronal and vascular injury, and can thus provide information complementary to findings from routine examinations and neuroimaging that is useful for diagnosis. In this review, we summarize the current state of knowledge on blood-based biomarkers of hyperacute IS including those associated with neuronal injury, glial activation, inflammation and oxidative stress, vascular injury and angiogenesis, coagulation and thrombosis, and metabolism as well as genetic and genomic biomarkers. Meanwhile, the blood sampling time of the biomarkers which are cited and summarized in the review is within 6 h after the onset of IS. Additionally, we also discuss the diagnostic and prognostic value of blood-based biomarkers in stroke patients, and future directions for their clinical application and development.

Zebrafish as a Model for In-Depth Mechanistic Study for Stroke

Stroke is one of the world's leading causes of death and disability, posing enormous burden to the society. However, the pathogenesis and mechanisms that underlie brain injury and brain repair remain largely unknown. There's an unmet need of in-depth mechanistic research in this field. Zebrafish (Danio rerio) is a powerful tool in brain science research mainly due to its small size and transparent body, high genome synteny with human, and similar nervous system structures. It can be used to establish both hemorrhagic and ischemic stroke models easily and effectively through different ways. After the establishment of stroke model, research methods including behavioral test, in vivo imaging, and drug screening are available to explore mechanisms that underlie the brain injury and brain repair after stroke. This review focuses on the advantages and the feasibility of zebrafish stroke model, and will also introduce the key methods available for stroke studies in zebrafish, which may drive future mechanistic studies in the pursuit of discovering novel therapeutic targets for stroke patients.

Leukocyte subtypes and adverse clinical outcomes in patients with acute ischemic cerebrovascular events

Background

Our study aimed to evaluate whether the effects on adverse clinical outcomes, defined as death, recurrent stroke, and poor functional outcomes, differed by leukocyte subtype in patients with acute ischemic cerebrovascular events, including both ischemic stroke and transient ischemic attack (TIA).

Methods

We derived data from the Third China National Stroke Registry (CNSR-III). The counts and percentages of each leukocyte subtype were collected within the first 24 hours after admission. Enrolled patients were classified into four groups by the quartiles of each leukocyte subtype count or percentage. Hazard ratios (HRs) or odds ratios (ORs) and their 95% confidence intervals (CIs) of adverse clinical outcomes were calculated, with the lowest quartile group as the reference category. We used C statistics, integrated discrimination improvement (IDI), and the net reclassification index (NRI) to evaluate each leukocyte subtype's incremental predictive value beyond conventional risk factors.

Results

A total of 14,174 patients were enrolled. Higher counts of leukocytes, neutrophils, and monocytes were associated with elevated risks of adverse clinical outcomes. In contrast, higher counts of lymphocytes and eosinophils were related to reduced risks of adverse clinical outcomes. Meanwhile, basophil counts seemed to not correlate with adverse clinical outcomes. Furthermore, there were also significant associations between the percentages of leukocyte subtypes and adverse clinical outcomes.

Conclusions

Leukocyte subtypes had different relationships with adverse clinical outcomes at 3-month and 1-year follow-up in patients with acute ischemic cerebrovascular events and could slightly increase the predictive value compared with the conventional model.

Effect of rt-PA intravenous thrombolysis on the prognosis of patients with minor ischemic stroke

AIMS

The evidence of rt-PA intravenous thrombolysis in patients with minor ischemic stroke (MIS) is still controversial. This study aims to investigate the effect of rt-PA intravenous thrombolysis on the prognosis of patients with MIS.

METHODS

We continuously enrolled and analyzed patients with MIS admitted into our hospital within 24 h after symptom onset between January 2016 and December 2018, including 96 patients received intravenous thrombolysis within 4.5 h after symptom onset and 84 patients not received intravenous thrombolysis. A favorable long-term outcome was a 90-day mRS score of 0-1. Good short-term outcome was a 7-day NIHSS score of 0 or less than NIHSS onset.

RESULTS

There were no statistical differences between two groups of patients' age, gender, history of hypertension, coronary heart disease, atrial fibrillation, smoking, drinking, and baseline NIHSS score. Patients with history of stroke (22.62% vs. 10.42%, p < 0.05) and diabetes (46.43% vs. 22.92%, p = 0.01) were higher in group of non-thrombolysis. The difference of NIHSS score after 7 days was statistically different between the two groups (p < 0.05), while there was no significant difference in 90-day mRS score. Logistic regression analysis indicated that the prognosis of patients was correlated with neutrophil ratio and CRP at admission.

CONCLUSION

Patients with MIS received intravenous thrombolysis may be associated with earlier neurological improvement, but might has no significant effect on long-term prognosis. The level of neutrophil ratio and CRP at admission are risk factors determining the prognosis, which requires further research.

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.

Neutrophil counts and the risk of first stroke in general hypertensive adults

We aimed to investigate the association between neutrophil counts and first stroke and examine possible effect modifiers among treated hypertensive adults. This is a post hoc analysis of the China Stroke Primary Prevention Trial (CSPPT). A total of 11,878 hypertensive adults with data on neutrophil counts at baseline were included in the current study. The primary outcome was first stroke. During a median follow-up of 4.5 years, 414 (3.5%) participants experienced a first stroke, including 358 with ischemic stroke, 55 with hemorrhagic stroke and one with uncertain type of stroke. Compared with participants in quartile 1 (<2.9 × 10⁹/L) of neutrophil counts, those in the upper quartiles (quartile 2-4 [≥2.9 × 10⁹/L]) had a significantly higher risk of first stroke (HR, 1.35; 95% CI: 1.02, 1.78) or first ischemic stroke (HR, 1.38; 95% CI: 1.02, 1.86). Moreover, a strong positive association between neutrophil counts and first ischemic stroke was found in participants with total homocysteine (tHcy) levels <15 μmol/L (HR, 1.74; 95% CI: 1.17, 2.58; vs. ≥15 μmol/L; HR, 0.91; 95% CI: 0.57, 1.46, P interaction = 0.042) at baseline or time-averaged mean arterial pressure (MAP) ≥102 mmHg (median) (HR, 1.92; 95% CI: 1.27, 2.89; vs. <102 mmHg; HR, 0.89; 95% CI: 0.57, 1.41, P interaction = 0.015) during the treatment period. However, no such association between neutrophil counts and first hemorrhagic stroke was found. In summary, high baseline neutrophil counts were associated with an increased risk of first ischemic stroke among hypertensive patients, especially in those with low tHcy at baseline or high time-averaged MAP during the treatment period.

Application of neutrophil to lymphocyte ratio to identify CT-negative cerebral infarction with nonfocal symptoms

Background

The neutrophil to lymphocyte ratio (NLR) has emerged as a strong predictor of mortality in stroke patients. Our study aimed to investigate the correlation between NLR and cerebral infarction with nonfocal symptoms confirmed by diffusion-weighted imaging (DWI) (+).

Methods

A total of 439 patients with nonfocal stroke symptoms with CT-negative findings were included from January 1 to December 31, 2018. All patients underwent a head MRI examination within seven days following a head CT examination. The patients’ demographics, medical history, presenting symptoms, and stroke location were recorded. Logistic regression and receiver operating characteristic (ROC) curve analysis were used to identify variables with a significant association with cerebral infarction.

Results

Cerebral infarction was detected in 79 (18%) patients confirmed by DWI(+), located mostly in the cerebellum (40.51%). Dizziness (85.19%) was the most common symptom. The cerebral infarction group showed a higher prevalence of hypertension (P<0.0001), diabetes mellitus (P<0.0001), and smoking status (P=0.001) than non-cerebral infarction group. The NLR (P<0.0001) was higher in the cerebral infarction group. There was no significant difference in NIHSS (P=0.09). Logistic analysis revealed that male gender (P=0.046), a history of hypertension (P=0.001), diabetes mellitus (P=0.001), smoking (P=0.023), and NLR (P<0.0001) were the best predictors of cerebral infarction. When integrating sex, hypertension, diabetes mellitus, smoking and NLR, the area under ROC value of the combined method was 0.785, higher than any separate parameters (P<0.05).

Conclusions

NLR combined with male gender, a history of hypertension, diabetes mellitus, and smoking, could predict DWI-confirmed cerebral infarction with nonfocal neurologic symptoms with high diagnostic accuracy.

Association of elevated hs-CRP and multiple infarctions with outcomes of minor stroke or TIA: subgroup analysis of CHANCE randomised clinical trial

Background and purpose

The relationship of high-sensitive C-reactive protein (hs-CRP) levels and infarction numbers with the prognosis of stroke is uncertain. This study evaluated the association of different hs-CRP levels and infarction numbers with the prognosis of acute minor ischaemic stroke or transient ischaemic attack (TIA).

Methods

A subset of 807 patients with both hs-CRP measurement and baseline MRI was included from the Clopidogrel in High-risk Patients with Acute Non-disabling Cerebrovascular Events trial. The primary efficacy outcome was the occurrence of an ischaemic stroke at the 1-year follow-up. Infarction numbers were classified as multiple acute infarctions (MAIs), single acute infarction and no acute infarction (NAI). The association between different hs-CRP levels with different infarction numbers and the risk of any outcome was analysed using multivariable Cox regression models.

Results

Among the 807 patients, 84 (10.4%) patients had a recurrent ischaemic stroke within 1 year. After adjustment for conventional confounding factors, patients with both elevated hs-CRP levels and MAIs were associated with approximately 4.7-fold of risk of ischaemic stroke within 1 year (16.7% vs 3.5%, HR 4.68, 95% CI 1.54 to 14.23, p=0.007), compared with those with non-elevated hs-CRP levels and NAI. Similar results were observed for the composite events.

Conclusions

Combined elevated hs-CRP levels and MAIs may increase 1-year stroke risk stratification efficiency in patients with minor ischaemic stroke or TIA compared with using those markers alone, which indicated that the combination of inflammatory and imaging markers might improve the effectiveness of risk stratification concerning minor ischaemic stroke or TIA.

ClinicalTrials.gov Registry (NCT00979589).

Targeting Neutrophils for Enhanced Cancer Theranostics

Improving tumor accumulation and delivery efficiency is an important goal of nanomedicine. Neutrophils play a vital role in both chemically mediating inflammatory response through myeloperoxidase (MPO) and biologically promoting metastasis during inflammation triggered by the primary tumor or environmental stimuli. Herein, a novel theranostic nanomedicine that targets both the chemical and biological functions of neutrophils in tumor is designed, facilitating the enhanced retention and sustained release of drug cargos for improved cancer theranostics. 5-hydroxytryptamine (5-HT) is equipped onto nanoparticles (NPs) loaded with photosensitizers and Zileuton (a leukotriene inhibitor) to obtain MPO and neutrophil targeting NPs, denoted as HZ-5 NPs. The MPO targeting property of 5-HT modified NPs is confirmed by noninvasive positron emission tomography imaging studies. Furthermore, photodynamic therapy is used to initiate the inflammatory response which further mediated the accumulation and retention of neutrophil targeting NPs in a breast cancer model. This design renders a greatly improved theranostic nanomedicine for efficient tumor suppression, and more importantly, inhibition of neutrophil-mediated lung metastasis via the sustained release of Zileuton. This work presents a novel strategy of targeting neutrophils for improved tumor theranostics, which may open up new avenues in designing nanomedicine through exploiting the tumor microenvironment.

Higher Monocyte Count is Associated with 30-Day Case Fatality in Intracerebral Hemorrhage

BACKGROUND

Previous studies have suggested that elevated neutrophils, monocytes, and neutrophil-to-lymphocyte ratio (NLR) may be associated with poor outcomes in intracerebral hemorrhage (ICH). We sought to determine whether white blood cell (WBC) types were independently associated with poor outcome in ICH in a large cohort.

METHODS

We performed a retrospective study of primary ICH at two academic centers. Cases were identified via ICD-9 code and verified via physician review. We included only those patients with WBC types obtained within 24 h of ICH onset.

RESULTS

We identified 593 patients with primary ICH and WBC differentials in the first 24 h. Independent factors (OR, 95% CI) associated with 30-day case fatality were age > 80 (2.4 (1.4, 4.2)), p = 0.0023; NIHSS greater than median (3.9 (2.4, 6.3)), p < 0.0001; ICH volume quartiles (Q1: ref, Q2: 1.5 (0.7, 3.0), Q3: 3.2 (1.6, 6.6), Q4: 11.9 (5.3, 26.4)), p < 0.0001; non-lobar location (3.3 (1.9, 5.9)), p ≤ 0.0001; IVH (2.3 (1.4, 3.6)), p = 0.0005, monocytes greater than median (1.6 (1.0, 2.4)), p = 0.0457, and anticoagulant use (3.2 (1.8, 5.6)), p < 0.0001. Elevated NLR was not associated with higher case fatality.

CONCLUSIONS

We found that elevated monocytes were independently associated with 30-day case fatality. Future studies will investigate whether there are subgroups of ICH patients, including those with particular blood or imaging biomarkers, in which WBC types might help predict poor outcome and provide targets for intervention.

Early prediction of cerebral-cardiac syndrome after ischemic stroke: the PANSCAN scale

Background

Cerebral-cardiac syndrome, newly developed cardiac damage manifestations subsequent to cerebral injuries, is a common complication of stroke and leads to increased morbidity and mortality. The current study is aimed to develop a risk prediction scale to stratify high-risk population of CCS among ischemic stroke patients.

Methods

The study included 410 cases from four tertiary medical centers from June 2018 to April 2019. The risk prediction model was established via logistic regression from the derivation cohort including 250 cases admitted between June 2018 and December 2018. Another 160 cases admitted from January 2019 to April 2019 were included as the validation cohort for external validation. The performance of the model was determined by the area under curve of the receiver operating characteristic curve. A rating scale was developed based on the magnitude of the logistic regression coefficient.

Results

The prevalence of CCS was 55.2% in our study. The predictive model derived from the derivation cohort showed good calibration by Hosmer-Lemeshow test (P = 0.492), and showed sensitivity of 0.935, specificity of 0.720, and Youden index of 0.655. The C-statistic for derivation and validation cohort were 0.888 and 0.813, respectively. Our PANSCAN score (0 to 10 points) was then established, which consists of the following independent risk factors: PT(12 s–14 s = 0; otherwise = 1), APTT(30s–45s = 0, otherwise = 1), Neutrophils(50–70% = 0; otherwise = 1), Sex(female = 1), Carotid artery stenosis(normal or mild = 0; moderate to severe = 2), Age(≥65 years = 1), NIHSS score(1 to 4 = 2; ≥5 = 3). Patients scored 3 or more points were stratified as high risk.

Conclusion

The risk prediction model showed satisfactory prediction effects. The PANSCAN scale provides convenient reference for preventative treatment and early management for high-risk patients.

Trial registration

The study was retrospectively registered in Chinese Trial Registry. The date of registration is April 17, 2019. Trial registration number: ChiCTR1900022587.