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Previous studies have reported that early hospital arrival improves clinical outcomes in patients with acute ischemic stroke; however, whether early arrival is associated with favorable outcomes regardless of reperfusion therapy and the type of stroke onset time is unclear. Thus, we investigated the impact of onset-to-door time on outcomes and evaluated the predictors of pre-hospital delay after ischemic stroke. Consecutive acute ischemic stroke patients who arrived at the hospital within five days of onset from September 2019 to May 2020 were selected from the prospective stroke registries of Seoul National University Hospital and Chung-Ang University Hospital of Seoul, Korea. Patients were divided into early (onset-to-door time, ≤4.5 h) and late (>4.5 h) arrivers. Multivariate analyses were performed to assess the effect of early arrival on clinical outcomes and predictors of late arrival. Among the 539 patients, 28.4% arrived early and 71.6% arrived late. Early hospital arrival was significantly associated with favorable outcomes (three-month modified Rankin Scale [mRS]: 0-2, adjusted odds ratio [aOR]: 2.03, 95% confidence interval: [CI] 1.04-3.96) regardless of various confounders, including receiving reperfusion therapy and type of stroke onset time. Furthermore, a lower initial National Institute of Health Stroke Scale (NIHSS) score (aOR: 0.94, 95% CI: 0.90-0.97), greater pre-stroke mRS score (aOR: 1.58, 95% CI: 1.18-2.13), female sex (aOR: 1.71, 95% CI: 1.14-2.58), unclear onset time, and ≤6 years of schooling (aOR: 1.76, 95% CI: 1.03-3.00 compared to >12 years of schooling) were independent predictors of late arrival. Thus, the onset-to-door time of≤4.5 h is crucial for better clinical outcome, and lower NIHSS score, greater pre-stroke mRS score, female sex, unclear onset times, and ≤6 years of schooling were independent predictors of late arrival. Therefore, educating about the importance of early hospital arrival after acute ischemic stroke should be emphasized. More strategic efforts are needed to reduce the prehospital delay by understanding the predictors of late arrival.

Background The triglyceride-glucose (TyG) index is a marker of insulin resistance (IR) and has been associated with various metabolic syndromes, cardiovascular diseases, and cerebrovascular diseases. However, limited information is available regarding its association with subclinical cerebral small vessel disease (cSVD). In this study, we evaluated the relationship between the TyG index and cSVD, including silent brain infarcts (SBIs) and white matter hyperintensity (WMH). Methods We assessed health check-up participants aged 40–79 years from 2006 to 2013. The TyG index was calculated using the log scale of fasting triglyceride (mg/dL) × fasting glucose (mg/dL)/2. The Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) was also calculated. This was compared with two insulin surrogates and cSVD as another IR indicator and compared the association between two insulin surrogates and cSVD. SBI was measured for both prevalence and burden. The WMH volume was quantitatively rated using a computer-assisted semi-automated technique. Results A total of 2615 participants were evaluated (median age: 56 years, male sex: 53%). In the multivariable logistic regression analysis, the TyG index was seen to be associated with SBI prevalence (adjusted odds ratio: 1.39; 95% confidence interval [CI] = 1.06–1.81). Further quantitative analyses showed a positive dose–response relationship between the TyG index and SBI burden ( P for trend = 0.006). In multivariable linear regression analysis, the TyG index was also found to be related to the volume of WMH (β = 0.084; 95% CI = 0.013 to 0.154). Additionally, the TyG index showed a similar or slightly stronger association with the prevalence of SBI and the volume of WMH than did HOMA-IR. Conclusions A high TyG index was associated with a higher prevalence and burden of cSVD in a neurologically healthy population. This marker of IR could be a convenient and useful predictor of cSVD.

Premorbid undernutrition has been proven to have an adverse effect on the prognosis of stroke patients. The evaluation of nutritional status is important, but there is no universally accepted screen methodology. We aimed to use the geriatric nutritional risk index (GNRI) for evaluating the effect of premorbid undernutrition on short-term outcomes in patients with acute ischemic stroke. A total of 1,906 patients were included for analysis. Baseline characteristics were collected. We evaluated the nutritional status of the patients using the GNRI and body mass index(BMI). The GNRI was calculated as {1.519×serum albumin(g/dL) + 41.7×present weight (kg)/ideal body weight (kg)}. All patients were categorized into four groups on the basis of the GNRI score. Among the included patients, 546 patients had an unfavorable outcomes. The proportion of patients with moderate and severe risk, assessed in GNRI, was significantly higher in the unfavorable outcome group compared to the favorable outcome group (33.3% vs 15.0%). The increased risk of premorbid undernutrition was associated with an increased risk of unfavorable outcome in a dose-response manner after adjusting for covariates. This study demonstrated that GNRI was associated with poor prognosis in patients with acute ischemic stroke. GNRI may be used to screen patients at high risk for unfavorable outcome.

Systemic immune-inflammation index (SII) is a novel inflammatory marker based on the composition ratio of blood cell counts. In this study, we evaluated the association between the SII and cerebral small vessel disease (cSVD) in health check-up participants. We evaluated participants from our health check-up registry between 2006 and 2013. The SII was calculated using the following formula: SII = (platelet count × neutrophil count)/lymphocyte count. cSVD was assessed by considering white matter hyperintensity (WMH) volume, lacunes, and cerebral microbleeds (CMBs). A total of 3187 participants were assessed. In multivariable linear regression analysis, the SII was significantly related to WMH volume [ β  = 0.120, 95% confidence interval (CI) 0.050–0.189]. However, lacunes and CMBs showed no statistical significance with the SII. In the subgroup analysis by age, the SII was significantly associated with WMH volume only in participants aged ≥ 60 years ( β  = 0.225, 95% CI 0.068–0.381). In conclusion, a high SII was associated with cSVD. Since this association was more pronounced in WMH than in lacunes or CMBs, WMH might be closer to the inflammation-related pathological mechanisms.

Background The effectiveness of mechanical thrombectomy (MT) in cancer-related stroke (CRS) is largely unknown. This study aims to investigate the clinical and radiological outcomes of MT in CRS patients. We also explored the factors that independently affect functional outcomes of patients with CRS after MT. Methods We retrospectively reviewed 341 patients who underwent MT after acute ischemic stroke onset between May 2014 and May 2020. We classified the patients into CRS ( n  = 34) and control ( n  = 307) groups and compared their clinical details. Among CRS patients, we analyzed the groups with and without good outcomes (3-months modified Rankin scale [mRS] score 0, 1, 2). Multivariate analysis was performed to investigate the independent predictors of unfavorable outcomes in patients with CRS after MT. Results A total of 341 acute ischemic stroke patients received MT, of whom 34 (9.9%) had CRS. Although the baseline National institute of health stroke scale (NIHSS) score and the rate of successful recanalization was not significantly different between CRS patients and control group, CRS patients showed more any cerebral hemorrhage after MT (41.2% vs. controls 23.8%, p  = 0.037) and unfavorable functional outcome at 3 months (CRS patients median 3-month mRS score 4, interquartile range [IQR] 2 to 5.25 vs. controls median 3-month mRS score 3, IQR 1 to 4, [ p  = 0.026]). In the patients with CRS, elevated serum D-dimer level and higher baseline NIHSS score were independently associated with unfavorable functional outcome at 3 months (adjusted odds ratio [aOR]: 1.524, 95% confidence interval [CI]: 1.043–2.226; aOR: 1.264, 95% CI: 1.010–1.582, respectively). Conclusions MT is an appropriate therapeutic treatment for revascularization in CRS patients. However, elevated serum D-dimer levels and higher baseline NIHSS scores were independent predictors of unfavorable outcome. Further research is warranted to evaluate the significance of these predictors.

Blood urea nitrogen (BUN) to albumin ratio (BAR) is a comprehensive parameter that reflects renal, inflammatory, nutritional, and endothelial functions. BAR has been shown to be associated with various cancers, pneumonia, sepsis, and pulmonary and cardiovascular diseases; however, few studies have been conducted on its association with cerebrovascular diseases. In this study, we evaluated the association between BAR and cerebral small vessel disease (cSVD) in health check-up participants. We assessed consecutive health check-up participants between January 2006 and December 2013. For the cSVD subtype, we quantitatively measured the volume of white matter hyperintensity (WMH) and qualitatively measured the presence of lacune and cerebral microbleeds (CMBs). The BAR was calculated by dividing BUN by albumin as follows: BAR = BUN (mg/dl)/albumin (g/dl). A total of 3012 participants were evaluated. In multivariable linear regression analysis, BAR showed a statistically significant association with WMH volume after adjusting for confounders [ β  = 0.076, 95% confidence interval (CI): 0.027–0.125]. In multivariable logistic regression analyses, BAR was significantly associated with lacunes [adjusted odds ratio (aOR) = 1.20, 95% CI: 1.00–1.44] and CMBs (aOR = 1.28, 95% CI: 1.06–1.55). BAR was associated with all types of cSVD in the health check-up participants.

Red cell distribution width (RDW) is an indicator of red blood cell size heterogeneity and may reflect underlying chronic hypoxemia or inflammation. While RDW has been associated with the prognosis of various pulmonary and cardiovascular diseases, its relevance in cerebrovascular disease remains underexplored. In this study, we evaluated the association between RDW and cerebral small vessel disease (cSVD). We evaluated consecutive health check-up participants who underwent brain MRI between January 2006 and December 2013. As subtypes of cSVD, white matter hyperintensity (WMH) was quantitatively assessed, while lacunes and cerebral microbleeds (CMBs) were evaluated qualitatively. RDW was measured from blood samples as part of the complete blood cell count. A total of 3,040 health check-up participants were evaluated (mean age: 56.3 years, male sex: 53.6%, mean body mass index: 24.16 kg/m2). In multivariable linear regression analysis, RDW was significantly associated with WMH volume after adjusting for confounders [β = 1.789, 95% confidence interval (CI): 0.115 to 3.463]. Age, systolic blood pressure, white blood cell and red blood cell counts were also associated with WMH volume, independent of RDW. On the other hand, lacunes and CMBs were not significantly associated with RDW after adjusting for confounders. RDW was associated with cSVD in health check-up participants. This association was observed exclusively with the WMH, while no significant relationship was found with lacunes or CMBs.

Background Inflammation is a major pathological mechanism underlying cerebrovascular disease. Recently, a new inflammatory marker based on the ratio between monocyte count and high-density lipoprotein (HDL) cholesterol has been proposed. In this study, we evaluated the relationship between monocyte-to-HDL cholesterol ratio (MHR) and cerebral small vessel disease (cSVD) lesions in health check-up participants. Methods This study was a retrospective cross-sectional study based on a registry that prospectively collected health check-up participants between 2006 and 2013. Three cSVD subtypes were measured on brain magnetic resonance imaging. White matter hyperintensity (WMH) volume, and lacunes and cerebral microbleeds (CMBs) were quantitatively and qualitatively measured, respectively. The MHR was calculated according to the following formula: MHR = monocyte counts (× 10 3 /μL) / HDL cholesterol (mmol/L). Results In total, 3,144 participants were evaluated (mean age: 56 years, male sex: 53.9%). In multivariable analyzes adjusting for confounders, MHR was significantly associated with WMH volume [ β  = 0.099, 95% confidence interval (CI) = 0.025 to 0.174], lacune [adjusted odds ratio (aOR) = 1.43, 95% CI = 1.07–1.91], and CMB (aOR = 1.51, 95% CI = 1.03–2.19). In addition, MHR showed a positive quantitative relationship with cSVD burden across all three subtypes: WMH ( P  < 0.001), lacunes ( P  < 0.001), and CMBs ( P  < 0.001). Conclusions High MHR was closely associated with cSVD in health check-up participants. Because these associations appear across all cSVD subtypes, inflammation appears to be a major pathological mechanism in the development of various cSVDs.

Carotid atherosclerosis is associated with white matter hyperintensity (WMH), potentially resulting in cognitive and gait problems. We assessed the relationship between carotid atherosclerosis patterns and regional WMH, offering insights into possible mechanisms. We reviewed 1,058 consecutive healthy individuals in a health check-up program, who chose both optional carotid doppler ultrasonography and brain magnetic resonance imaging. Total, periventricular, and subcortical WMH volumes were measured using automatic segmentation and quantification. Carotid atherosclerosis stages were defined as: normal, no atherosclerosis; plaque without stenosis, atherosclerotic plaque without stenosis; anatomic stenosis, angiographic stenosis without sonographic flow alteration; and hemodynamic stenosis, sonography-measured hemodynamically significant stenosis. These stages were analyzed for association with regional WMH volumes using linear regression. Total and periventricular WMH volumes increased with anatomic and subsequent hemodynamic stenosis; however, only hemodynamic stenosis was independently associated with total (B [95% confidence interval], 0.240 [0.057–0.423]; p  = 0.010) and periventricular WMH volumes (0.232 [0.066–0.399]; p  = 0.006). Hemodynamic stenosis degree, not plaque extent and anatomic stenosis degree, was significantly associated with total (0.178 [0.033–0.323]; p  = 0.016) and periventricular WMH volumes (0.176 [0.044–0.308]; p  = 0.009). Subcortical WMH was not associated with carotid atherosclerosis. Hemodynamic compromise may be a key factor linking carotid atherosclerosis and WMH, mainly affecting periventricular white matter.

Clinical guidelines recommend warfarin for patients with antiphospholipid syndrome (APS) and ischemic stroke; however, robust evidence is lacking. We investigated the clinical benefits of different categories of antithrombotic medications in ischemic stroke patients positive for antiphospholipid antibodies (aPLs) in real-world practice. We reviewed data from patients with ischemic stroke or transient ischemic attack who tested positive for aPLs. Based on their secondary preventive antithrombotic medications, patients were classified into antiplatelet and anticoagulant categories, and further into warfarin, single antiplatelet therapy (SAPT), dual antiplatelet therapy (DAPT), and direct oral anticoagulant groups. The outcome of interest was a composite of recurrent thrombosis and major bleeding events. Time-varying Cox proportional hazards model was used. Among 167 eligible patients, 28 experienced composite outcome events over 601.1 person-years. SAPT and DAPT demonstrated clinical benefits over warfarin (SAPT vs. warfarin, adjusted hazard ratio [95% confidence intervals], 0.24 [0.07–0.83]; DAPT vs. warfarin, 0.25 [0.08–0.81]). Notably, DAPT was advantageous regarding major bleeding (DAPT vs. warfarin, 0.10 [0.02–0.47]), while the risk of recurrent thrombotic events was comparable between the antiplatelet and warfarin groups. Antiplatelet therapy may be a safe and effective alternative to warfarin for secondary prevention of aPL- and APS-related stroke. Further prospective validation is required.