Lesion Indexes Predict Early Neurologic Deterioration in Lenticulostriate Single Small Subcortical Infarction.

BACKGROUND AND PURPOSE: Early neurologic deterioration (END) often occurs during hospitalization in single small subcortical infarction (SSSI). The objective was to identify imaging predictors of END. MATERIALS AND METHODS: SSSIs in the lenticulostriate artery within 72 hours of stroke onset from January 2015 to June 2021 were consecutively enrolled. The posteriority and laterality indexes were assessed on the second section from the top of the corona radiata section showing the lateral ventricle on DWI. A multivariate logistic analysis was used to explore the predictors of END. RESULTS: A total of 402 patients were included in this study, among whom 93 (23.1%) experienced END. The optimal cutoff points of the posteriority and laterality indexes for predicting END were given by a receiver operating characteristic curve. A multivariate logistic analysis showed that the posteriority index of ≥0.669 (OR: 2.53; 95% CI: 1.41-4.56; P = .002) and the laterality index of ≥0.950 (OR: 2.03; 95% CI: 1.03-4.00; P = .042) were independently associated with the risk of END. Accordingly, the SSSIs were further divided into 4 types: anterior lateral type (AL-type), anterior medial type (AM-type), posterior lateral type (PL-type), and posterior medial type (PM-type). After the multivariate analysis, in comparison with the AL-type, the AM-type (OR: 3.26; 95% CI: 1.10-9.65), PL-type (OR: 4.68; 95% CI: 1.41-15.56), and PM-type (OR: 6.77; 95% CI: 2.53-18.04) carried significantly elevated risks of END. The PM-type was associated with the highest risk of END. CONCLUSIONS: The PM-type was found to be associated with the highest risk of END.

Novel inflammatory and insulin resistance indices provide a clue in cerebral amyloid angiopathy.

This study investigated the correlation of newly identified inflammatory and insulin resistance indices with cerebral amyloid angiopathy (CAA), and explored their potential to differentiate CAA from hypertensive arteriopathy (HA). We retrospectively analyzed 514 consecutive patients with cerebral small vessel disease (CSVD)-related haemorrhage, comparing the differences in novel inflammatory and insulin resistance indices between patients with CAA and HA. Univariate regression, LASSO and multivariate regression were used to screen variables and construct a classification diagnosis nomogram. Additionally, these biomarkers were explored in patients with mixed haemorrhagic CSVD. Inflammatory indices were higher in CAA patients, whereas insulin resistance indices were higher in HA patients. Further analysis identified neutrophil-to-lymphocyte ratio (NLR, OR 1.17, 95% CI 1.07-1.30, P < 0.001), and triglyceride-glucose index (TyG, OR = 0.56, 95% CI 0.36-0.83, P = 0.005) as independent factors for CAA. Therefore, we constructed a CAA prediction nomogram without haemorrhagic imaging markers. The nomogram yielded an area under the curve (AUC) of 0.811 (95% CI 0.764-0.865) in the training set and 0.830 (95% CI 0.718-0.887) in the test set, indicating an ability to identify high-risk CAA patients. These results show that CSVD patients can be phenotyped using novel inflammatory and insulin resistance indices, potentially allowing identification of high-risk CAA patients without haemorrhagic imaging markers.

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.

Clinical features and associated factors of coexisting intracerebral hemorrhage in patients with cerebral small vessel disease: a cross-sectional study.

Intracerebral hemorrhage (ICH) is generally considered to be closely related to cerebral small vessel disease (CSVD), leading to a poor prognosis. However, the coexistence of ICH in general CSVD patients and related factors remain underreported. In our cross-sectional study, we screened 414 CSVD patients from a database at the Department of Neurology, First Affiliated Hospital of Zhengzhou University (September 2018 to April 2022). Imaging biomarkers of CSVD and coexisting ICH lesion were assessed. Factors associated with coexisting ICH in CSVD were determined using multivariate logistic regression analysis. ICH was observed in 59 patients (14.3%). Multivariate logistic regression showed that previous history of ischemic stroke or transient ischemic attack (OR 5.189, 95%CI 2.572-10.467, P < 0.001), high-grade perivascular space in the basal ganglia (n > 10) (OR 2.051, 95%CI 1.044-4.027, P = 0.037) and low adjusted calcium-phosphorus product (OR 0.728 per 1 [mmol/L]2 increase, 95%CI 0.531-0.998, P = 0.049) were associated with coexisting ICH in CSVD patients. The considerable proportion of coexisting ICH and revelation of associated factors in general CSVD patients alert physicians of the potential risk of the reoccurrence of ICH, and might have a significant impact on therapeutic strategies.

Enlarged Perivascular Space in the Basal Ganglia is Associated with Cerebral Venous Reflux in Patients with Recent Small Subcortical Infarction.

BACKGROUND: Research has linked enlarged perivascular spaces (EPVS) to cerebral venous reflux (CVR) in patients with hypertensive intracerebral hemorrhage, but it is unclear whether this association exists in recent small subcortical infarct (RSSI) patients. OBJECTIVE: This study aimed to investigate the correlation between EPVS and CVR in patients with RSSI. METHOD: This study included 297 patients, selected from patients with RSSI in the lenticulostriate artery admitted to the Department of Neurology of the First Affiliated Hospital of Zhengzhou University. CVR was assessed by time-of-flight magnetic resonance angiography (TOF-MRA). The relationship between EPVS and CVR was studied using multiple logistic regression analysis. RESULTS: This study included patients with an average age of 59.84±12.27 years, including 201 males (67.7%). CVR was observed in 40 (13.5%) patients. Compared to the group without CVR, the proportions of male patients and patients with a history of smoking and drinking were higher in the CVR group. The proportions of high-grade EPVS in the centrum semiovale region [23 cases (57.5%) vs. 108 cases (42.0%), p =0.067] and the basal ganglia region [30 cases (75.0%) vs. 133 cases (51.8%), p =0.006] were higher in the CVR group. After multiple logistic regression analysis, high-grade EPVS in the basal ganglia region was still associated with CVR (OR, 2.68; 95% CI, 1.22-5.87; p =0.014). CONCLUSION: In the population with RSSI, EPVS in basal ganglia is significantly associated with CVR, suggesting a close relationship between venous dysfunction and the formation of EPVS.

Causal Effects of Blood Metabolites and Obstructive Sleep Apnea: A Mendelian Randomization Study.

BACKGROUND: Obstructive sleep apnea (OSA) is one of the most common forms of sleep-disordered breathing. Studies have shown that certain changes in metabolism play an important role in the pathophysiology of OSA. However, the causal relationship between these metabolites and OSA remains unclear. AIMS: We use a mendelian randomization (MR) approach to investigate the causal associations between the genetic liability to metabolites and OSA. METHODS: We performed a 2-sample inverse-variance weighted mendelian randomization analysis to evaluate the causal effects of genetically determined 486 metabolites on OSA. Multiple sensitivity analyses were performed to assess pleiotropy. We used multivariate mendelian randomization analyses to assess confounding factors and mendelian randomization Bayesian model averaging to rank the significant biomarkers by their genetic evidence. We also conducted a metabolic pathway analysis to identify potential metabolic pathways. RESULTS: We identified 14 known serum metabolites (8 risk factors and 6 protective factors) and 12 unknown serum metabolites associated with OSA. These 14 known metabolites included 8 lipids( 1-arachidonoylglycerophosphoethanolamine, Tetradecanedioate, Epiandrosteronesulfate, Acetylca Glycerol3-phosphate, 3-dehydrocarnitine, Margarate17:0, Docosapentaenoaten3;22:5n3), 3 Aminoacids (Isovalerylcarnitine,3-methyl-2-oxobutyrate,Methionine), 2 Cofactors and vitamins [Bilirubin(E,ZorZ,E),X-11593--O-methylascorbate], 1Carbohydrate(1,6-anhydroglucose). We also identified several metabolic pathways that involved in the pathogenesis of OSA. CONCLUSION: MR (mendelian randomization) approach was performed to identify 6 protective factors and 12 risk factors for OSA in the present study. 3-Dehydrocarnitine was the most significant risk factors for OSA. Our study also confirmed several significant metabolic pathways that were involved in the pathogenesis of OSA. Valine, leucine and isoleucine biosynthesis metabolic pathways were the most significant metabolic pathways that were involved in the pathogenesis of OSA.

The Positional Relationship between Lacunae and White Matter Hyperintensity in Patients with Cerebral Small Vessel Disease.

BACKGROUND: Lacunae and white matter hyperintensity (WMH) are two crucial imaging biomarkers of cerebral small vessel disease (CSVD). Multiple studies have revealed a close relationship between WMH and lacunae and found that a double penumbra existed at the edge of WMH that affects lacunae formation. The study aimed to explore the spatial distribution characteristics and possible influencing factors of lacuna in relation to white matter hyperintensity in patients with CSVD. METHODS: A total of 480 CSVD patients with WMH and with or without lacunae were included. Data about blood biochemical indicators, cerebrovascular CT angiography, 24-hour ambulatory blood pressure and ambulatory electrocardiogram, brain magnetic resonance imaging, and transcranial Doppler ultrasound were gathered from all subjects. They were categorised into four groups based on the spatial interaction between lacunae and WMH. Univariate analyses and multiple logistic regression analyses were used to compare the differences in traditional vascular risk factors, heart rate and blood pressure indicators, arterial pulsatility index (PI) values, and arterial stenosis among different groups. RESULTS: The average age of 480 patients was (58.63 ± 11.91) years, with 347 males (72.3%). Univariate analysis indicated that age, fasting blood glucose, triglycerides, total cholesterol, highdensity lipoprotein, 24-hour and daytime and night systolic and diastolic blood pressure, nocturnal heart rate, heart rate variability, PI values of ipsilateral and contralateral MCA (middle cerebral artery) and ICA (Internal carotid artery) of the lacunae, Fazekas score of PWMH (periventricular white matter hyperintensities), the proportion of MCA or ICA with stenosis rate over 50% on the ipsilateral side of the lacunae were significantly different between different groups (p < 0.05). High fasting blood glucose (OR=1.632, 95% CI= (1.128, 2.361), p =0.009), (OR=1.789, 95%CI= (1.270, 2.520), p = 0.001), (OR=1.806, 95% CI= (1.292, 2.524), p =0.001) was identified as a risk factor for lacunae formation by logistic regression analysis. CONCLUSION: High fasting blood glucose can be considered a risk factor for lacunae formation in patients with WMH. The more severe the PWMH and the higher the nocturnal heart rate, the more likely the lacunae, as well as PWMH, overlap completely. Ipsilateral arteriosclerosis and stenosis are independent risk factors for no contact between lacunae and PWMH.

Association of Blood Lipid Profile Components with White Matter Hyperintensity Burden in Cerebral Small Vessel Disease.

BACKGROUND: Cerebral small vessel disease (CSVD) refers to a common cerebrovascular disease and white matter hyperintensities (WMHs) constitute a typical feature of CSVD. However, there has not been a large number of studies investigating the relationship between lipid profile components and WMHs. METHODS: Altogether, 1019 patients with CSVD were enrolled at the First Affiliated Hospital of Zhengzhou University between April 2016 to December 2021. Baseline data were collected for all patients, including demographic characteristics and clinical data. WMH volumes were evaluated by two experienced neurologists using the MRIcro software. Multivariate regression analysis was used to investigate the relationship among the severity of WMHs, blood lipids and common risk factors. RESULTS: Altogether, 1019 patients with CSVD were enrolled, including 255 in the severe WMH group and 764 in the mild WMH group. After including age, sex and blood lipids to construct a multivariate logistic regression equation, we observed that the severity of WMHs was independently predicted by low-density lipoprotein (LDL), homocysteine level and history of cerebral infarction. CONCLUSION: We used WMH volume, a highly accurate measure, to assess its relationship with lipid profiles. The WMH volume increased with a decrease in LDL. This relationship was more significant, especially among the subgroups of patients aged <70 years and men. Patients with cerebral infarction and higher homocysteine levels were more likely to have higher WMH volumes. Our study has provided a reference for clinical diagnosis and therapy, especially for discussing the role of blood lipid profiles in the pathophysiology of CSVD.

Neuroimaging markers of early neurological deterioration in acute isolated pontine infarction.

BACKGROUND: Imaging indicators of early neurological deterioration (END) in patients with acute isolated pontine infarctions (AIPI) remained ambiguous. We aimed to find more specific neuroimaging markers for the development of END in patients with AIPI. METHODS: Patients with AIPI within 72 h of stroke onset were screened from a stroke database from January 2018 to July 2021 in the First Affiliated Hospital of Zhengzhou University. Clinical characteristics, laboratory tests, and imaging parameters were collected. The layers having the largest infarct area on diffusion-weighted imaging (DWI) and T2 sequences were chosen. On the transverse plane of DWI and sagittal plane of T2-Flair images, the maximum length (a, m) and maximum width (b, n) vertical to the length of the infarcted lesions were measured respectively. On the sagittal plane of T2-Flair image, the maximum ventrodorsal length (f) and rostrocaudal thickness (h) were measured. On the sagittal plane, lesions were evenly split into upper, middle, and lower types based on the lesion's location in the pons. The ventral and dorsal types of location were separated based on whether the ventral borders of the pons were involved on transvers plane. END was defined as a ≥2 point increase in the National Institutes of Health Stroke Scale (NIHSS) total score or a ≥1 point increase in the motor items within 72 h after admission. Multivariate logistic regression analyses were used to explore risk factors associated with END. The receiver operating characteristic (ROC) curve analysis and the area under the curve (AUC) was performed to estimate the discriminative power and determine the optimal cut-off points of imaging parameters on the prediction of END. RESULTS: A total of 218 patients with AIPI were included in the final analysis. END occurred in 61 cases (28.0%). Multivariate logistic regression analysis showed that the ventral type of lesion location was associated with END in all models adjusted. In addition, in Model 1, b (odds ratio (OR) 1.145, 95% confidence interval (95% CI), 1.007-1.301) and n (OR 1.163, 95% CI 1.012-1.336); in Model 2, b*n (OR 1.010, 95% CI 1.002-1.018); in Model 3, n (OR 1.179, 95% CI, 1.028-1.353); and in Model 4, b (OR 1.143, 95% CI 1.006-1.298) and n (OR 1.167, 95% CI 1.016-1.341) were found to be associated with END respectively after different adjustments. ROC curve analysis with END showed that the AUC, the optimal cut-off value, and its sensitivity and specificity were 0.743 (0.671-0.815), 9.850 mm, and 68.9% and 79.0% for b; 0.724 (0.648-0.801), 10.800 mm, and 57.4% and 80.9% for n; and 0.772 (0.701-0.842), 108.274 mm2, and 62.3% and 85.4% for b*n, respectively (b*n vs b: P =0.213; b*n vs n: P =0.037; b vs n: P =0.645). CONCLUSIONS: Our study revealed that besides the ventral type of lesion location, the maximum width of lesion on the transverse plane of DWI and sagittal plane of T2 image (b, n) may be imaging markers for the development of END in AIPI patients, and the product of the two (b*n) showed a better prediction value on the risks of END.

Stress hyperglycemia predicts early neurological deterioration and poor outcomes in patients with single subcortical infarct.

AIM: The goal of this study was to determine whether the stress hyperglycemia ratio (SHR) is associated with early neurological deterioration (END) and poor outcomes in patients with single subcortical infarct (SSI). METHODS: For this study, we prospectively enrolled patients with SSI admitted between 2015 and 2021. SHR was distributed in quartiles according to the size of each subgroup. END was defined as an increase of ≥ 2 total points in the National Institutes of Health Stroke Scale (NIHSS) or ≥ 1 point in the motor items of the NIHSS within 7 days of hospital admission. The modified Rankin Scale (mRS) was used to evaluate patient prognosis. Good and poor outcomes were defined as mRS scores ≤2 and >2, respectively. The relationships between SHR and risk of END as well as outcomes were analyzed using multivariate logistic regression models. RESULTS: A total of 1049 patients with SSI with an average age of 59.49 years met the inclusion criteria for the analysis. The incidence of END markedly increased with increasing SHR. Multivariate logistic regression analysis revealed that the highest SHR quartile was independently associated with an increased risk of both END (OR 4.04, 95% CI, 2.43-6.69, P < 0.001) and 3-month poor outcomes (OR 2.34, 95% CI, 1.44-3.82, P = 0.001), compared to the lowest quartile. A receiver operating characteristic curve analysis of the SHR based on the area under the curve showed a diagnostic accuracy equal or greater than fasting plasma glucose. CONCLUSION: SHR is a reliable predictor of END and poor outcomes in patients with SSI.

Early neurological deterioration in patients with acute ischemic stroke: a prospective multicenter cohort study.

Background: There is still no precise knowledge of the causes of progression in patients with acute ischemic stroke (AIS), and we are unable to predict patients at risk. Objective: To explore the frequency, predictive factors, and the prognosis of early neurological deterioration (END) in patients with AIS. Methods: In this prospective multicenter observational study, we assessed patients with AIS admitted to 18 hospitals in Henan, China. We defined END as an increase of ⩾2 points in total National Institutes of Health Stroke Scale (NIHSS) score or ⩾1 point in the motor items of the NIHSS within 7 days after admission. Risk factors were analyzed using multivariate logistic regression models. Prognosis was evaluated using the modified Rankin Scale (mRS), with poor prognosis defined as mRS 3-6. Results: A total of 9114 patients with AIS within 24 h of symptom onset were enrolled in the study. END occurred in 1286 (14.1%) patients. The highest incidence (62.5%) of END occurred within 24 h after admission. After adjusting potential confounders, age, body mass index, waist-hip ratio, systolic blood pressure, baseline NIHSS, disabled at baseline, history of atrial fibrillation, diabetes mellitus, intracranial arterial stenosis, infarct location in the lenticulostriate artery area and cerebral watershed, neutrophils, lymphocytes, uric acid, and triglycerides were identified as independent predictors for END. END was significantly associated with poor prognosis at 90 days, and the adjusted OR was 1.74 (95% CI: 1.53-1.97). Conclusion: One in seven hospitalized patients with AIS may experience END within 24 h of onset. The highest incidence of END occurred within 24 h of admission and decreased steeply with time. Easily identifiable risk factors predict END and could help understand the causal mechanisms and thereby prevent END.

Lesion Location Predicts Early Neurological Deterioration in Single Subcortical Infarction.

BACKGROUND: A certain number of patients with single subcortical small infarction (SSSI) in the lenticulostriate artery (LSA) territory present with early neurological deterioration (END). OBJECTIVE: We sought to identify a more specific predicting imaging marker for END in lenticulostriate SSSI patients. METHODS: We screened patients in a prospective hospital-based registry of stroke in the first Affiliated Hospital of Zhengzhou University from January 2015 to December 2020. Lesion locations were defined as posterior type when more than half of the lesion was located in the posterior part of the corona radiata divided by the midline, which was drawn between the tangents of the anterior and posterior horns of the lateral ventricle and was adjacent to the lateral ventricle at the same time. END was defined as an increase of ≥2 points in total National Institutes of Health Stroke Scale score or ≥1 point. A multivariate logistic analysis was used to assess the imaging predictors for END. RESULTS: 418 patients were enrolled in the final data analysis. Among them, 206 (49. 3%) cases were rated as the posterior type and71 (17.0%) cases had to END. A multivariate logistic analysis showed that only the posterior type (adjusted odds ratio, 2. 126; 95% confidence interval, 1. 250-3. 614; P = 0. 005) was independently associated with the risk of END. CONCLUSION: The posterior type of lesion location represented an imaging marker predicting END in lenticulostriate SSSI patients.

Non-HDL-C/HDL-C ratio is associated with carotid plaque stability in general population: A cross-sectional study.

Background: Carotid atherosclerosis, especially the rupture of unstable plaques, plays an important role in the development of stroke. A novel lipid ratio, the non-high-density lipoprotein cholesterol (non-HDL-C)/high-density lipoprotein cholesterol (HDL-C) ratio, contains both atherogenic and anti-atherogenic particle information, and has been shown to be associated with carotid atherosclerosis. However, there is no data on evaluating the association between non-HDL-C/HDL-C ratio and carotid plaque stability. Methods: This study was carried out on 27,436 urban workers aged 20 years or older who participated in a comprehensive health screening between January 2016 and December 2017. Carotid plaque stability was assessed using ultrasonography. Multinomial logistic regression models were used to explore the relationship between the non-HDL-C/HDL-C ratio and carotid plaque stability by odds ratios (ORs) and 95% confidence intervals (CIs). Subgroup and sensitivity analyses were performed to verify the robustness of the results. Results: Carotid plaque was detected in 7,161 (26.1%) participants, with stable and unstable plaque accounting for 3,277 (11.9%) and 3,884 (14.2%), respectively. The prevalence of stable carotid plaque substantially increased with increasing non-HDL-C/HDL-C ratio quartile levels (p for trend < 0.001) and with a similar association for unstable carotid plaque (p for trend < 0.001). The mean non-HDL-C/HDL-C ratios (mean ± SD) of non-carotid plaque (2.9 ± 1.1), stable carotid plaque (3.2 ± 1.2), and unstable carotid plaque (3.4 ± 1.4) gradually increased (p < 0.001). In multinomial logistic regression, ORs (95% CIs) for the highest vs. lowest quartile of the non-HDL-C/HDL-C ratio were 1.70 (1.48-1.95) between stable carotid plaques and no carotid plaque, 2.34 (2.06-2.67) between unstable carotid plaques and no carotid plaque, and 1.38 (1.18-1.61) between unstable carotid plaques and stable carotid plaque, after adjusting for common cardiovascular risk factors. The results of subgroup analysis and sensitivity analysis were similar. Conclusion: Our findings suggested that the non-HDL-C/HDL-C ratio was significantly associated with carotid plaque stability and might be a useful indicator for the early identification of high-risk carotid plaque.

Efficacy and Safety of Alteplase on Treatment of Acute Single Small Subcortical Infarction.

BACKGROUND: Single Small Subcortical Infarction (SSSI) is an isolated small infarction in the territory of perforating artery with a maximum diameter of 20 mm in axial Diffusion-Weighted Imaging (DWI). About 20 to 30% of SSSI patients were reported to have Early Neurological Deterioration (END) in the acute phase, which brought adverse effects on long-term outcomes. The effect of the alteplase on the outcome of SSSI, especially END and long-term outcomes, was ambiguous. OBJECTIVE: The study aims to find out the efficacy and safety of intravenous recombinant tissue Plasminogen Activator (rt-PA) on long-term and short- outcomes of patients with SSSI as compared to patients who received standard medical care. METHODS: The patients were retrospectively screened from a stroke registry of the neurology department of 1st Affiliated Hospital of Zhengzhou University from January 2013 to December 2020. Based on treatment modality, patients were dichotomized into alteplase and standard medical care groups. To minimize confounding factors in subgroups, a propensity score matching analysis was done. The primary outcome was the favorable functional outcome 3 months after stroke onset, defined by attaining a score of ≤2 points on the modified Rankin scale (mRS), secondary outcome was the prevention of occurrence of END, defined as an increase of ≥2 points in the total score or ≥1point on motor subunit in the National Institutes of Health Stroke Scale (NIHSS) score within 72 hours after admission, safety features were symptomatic intracranial hemorrhage (sICH) or death. Multivariate analysis was employed to find the efficacy and safety of alteplase in the treatment of SSSI. RESULTS: A total of 717 patients with anterior circulation SSSI were selected, and 132 were included in the final analysis. Forty-five patients were treated with alteplase within 4.5 hours and 87 with standard medical care, and 44 pairs were successfully matched by propensity score. Pre-match data showed that the alteplase thrombolysis group showed a higher proportion of favorable outcomes at 3-month follow-up [OR=0.315, 95%CI:0.106, 0.931, P = 0.037] but did not reduce the incidence of END compared with the non-thrombolytic group [OR = 1.033, 95%CI:0.417,2.554, P = 0.943]. Post-match data showed that the alteplase group also showed a higher proportion of favorable outcomes at 3-month follow-up [OR = 0.247, 95%CI: 0.074, 0.830, P = 0.024]; however, it did not reduce the incidence of END compared with the non-thrombolytic group [OR = 1.241, 95%CI: 0.433,3.554, P = 0.688]. There was one case of asymptomatic ICH in alteplase treated patients. CONCLUSION: Patients with SSSI in the anterior circulation are more likely to achieve 3 months favorable outcomes than those who were treated with standard medical care; however, treatment with alteplase may not prevent the occurrence of END.

Prediction of Symptoms on Admission with Early Neurological Deterioration in Single Small Subcortical Infarct.

BACKGROUND: Early neurological deterioration (END) often occurs during hospitalization in single small subcortical infarct (SSSI). While, symptoms on admission were rarely reported about its performance on predicting the risk of END. OBJECTIVES: The objective of this study is to explore the relationship between symptoms on admission and END in SSSI. METHODS: Patients with SSSI in the lenticulostriate artery (LSA) territory presenting within 72 hours of stroke onset were screened prospectively. Clinical characteristics, including symptoms on admission, laboratory tests and imaging findings, were collected. Based on the body regions involved including spherical face (SF), upper limb (UL) or lower limb (LL), symptoms on admission were classified into single spherical face (sSF) and any involvement of limbs (AL). END was defined as ≥2 points increase in total National Institutes of Health Stroke Scale (NIHSS) score or ≥ 1 point increase in motor score within 72 hours after admission. Multivariate logistic regression was used to analyze factors associated with END. RESULTS: Out of 5,832 ischemic stroke patients in the database, 394 patients were finally enrolled in analysis. 65 patients (16.5%) developed END. Multivariable logistic regression revealed that symptoms with LL (OR 2.337, 95% CI 1.041-5.246), UL (OR 2.936, 95% CI 1.349-6.390) were both associated with END, while the involvement of SF (OR 0.447, 95% CI 0.249-0.804) showed the opposite result. Further analysis found that symptoms with AL (OR 3.958, 95% CI 1.355-11.565) showed a higher risk of END compared to sSF after adjustment. CONCLUSION: Our results discovered that symptoms with AL carried a higher risk of END than those involving sSF in SSSI.

Association of Nocturnal Heart Rate with White Matter Hyperintensity Burden in Cerebral Small Vessel Disease Patients.

BACKGROUND: Age and hypertension are widely considered to be the main risk factors for white matter hyperintensity (WMH), but they do not account for all the pathophysiological mechanisms of WMH.Therefore, identifying novel risk factors is significant to improve our understanding of the etiology and consequences of WMH. OBJECTIVE: To examine the association of heart rate(HR) and common vascular risk factors with WMH burden in patients hospitalized for Cerebral Small Vessel Disease(CSVD). METHOD: The study consisted of 778 patients who underwent 24-hour ambulatory blood pressure and HR monitoring and brain magnetic resonance imaging(MRI). The relationship of HR measures and vascular risk factors with the presence of log WMHV4 was analyzed.Univariable and multivariable analysis was carried out to investigate the relationship of incidence of severe WMH (4th quartile, ≥19.64 ml) and HR measures and common vascular risk factors. RESULTS: Multivariate analysis showed that WMHV was independently predicted by nighttime HR ( OR (95% CI): 1.041（1.02~1.062）, P<0.001),Homocysteine ( OR (95% CI): 1.019（1.005~1.033）, P=0.009), and cerebral infarction ( OR (95% CI): 0.463（0.31~0.691）, P<0.001), No similar association was observed for daytime HR、HR variability and other vascular risk factors. CONCLUSION: As nighttime HR、Hcy increased, log WMHV increased accordingly; furthermore, patients with cerebral infarction were more likely to have higher levels of WMHV. nighttime HR 、Hcy、cerebral infarction was associated with WMHV, suggesting independent roles of their in WMHV. The influence of HRV on WMHV needs to be addressed by further studies.

Atherogenic Index of Plasma Predicts Outcomes in Acute Ischemic Stroke.

Aim: The atherogenic index of plasma (AIP) was significantly related to adverse outcomes in patients with cardiovascular disease. Our aim was to investigate the association between AIP and adverse outcomes in acute ischemic stroke. Methods: Patients with acute ischemic stroke (AIS) admitted between 2015 and 2018 were prospectively enrolled in this study. Functional outcomes were evaluated by the modified Rankin Scale (mRS). Poor outcomes were defined as mRS 3-6. The relationship of AIP with the risk of outcomes was analyzed by multivariate logistic regression models. Results: A total of 1,463 patients with AIS within 24 h of symptom onset were enrolled. The poor outcome group had a significantly higher level of AIP [0.09 (-0.10 to 0.27) vs. 0.04 (-0.09 to 0.18), p < 0.001] compared with the good outcome group. Multivariable logistic regression analysis showed that higher AIP was associated with poor outcomes in all the stroke patients (OR 1.84, 95% CI, 1.23-2.53, p = 0.007), which was more evident in patients with large-artery atherosclerosis subtype (OR 1.90, 95% CI, 1.53-2.62, p = 0.002), but not in the other subtypes. Receiver operating curve (ROC) analysis revealed that the best predictive cutoff value of AIP was 0.112, with a sensitivity of 70.8% and a specificity of 59.2%, and the area under the ROC curves for AIP was 0.685. Conclusion: AIP may be an important and independent predictor of the outcome of dysfunction in patients with AIS, especially the stroke subtype of large-artery atherosclerosis.