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Background: Several observational studies have reported the prevalence of cerebral microbleeds (CMBs) and their risk factors in an elderly population. Any information in this regard is currently lacking from India. Aim of this study was to estimate the prevalence, risk factors of CMBs, and association with cognition in an Indian urban population aged 50 years and above. Methods: Household surveys were conducted as part of ongoing Longitudinal Cognition and Aging Research on Population of the National Capital Region (LoCARPoN) study in areas of urban Delhi. Magnetic resonance imaging of the brain was performed in 2599 participants. Using standard neuropsychological battery, mean Z-scores for each domain (memory, executive, information) were derived. Binary and stepwise logistic regression models were used to determine associated risk factors for the presence of CMB and its association with cognitive domains. Results: The prevalence of CMBs was 14.42% (95% confidence interval [CI]: 13.06-15.73). Of these, 203 (7.81%) participants had single CMBs and 172 (6.61%) had multiple microbleeds (≥2). Higher prevalence was observed in older age (6070 years: odds ratio [OR]: 1.25 [95% CI: 0.93-1.67]; 70-80 years: OR: 2.05 [95% CI: 1.48-2.84]; ≥80 years: OR: 3.27 [95% CI: 1.97-5.44]) compared to individuals in the age group 50-60 years. History of stroke (OR: 2.97 [95% CI: 1.56-5.66]), hypertension (OR: 1.36 [95% CI: 1.05-1.75]), and smoking (OR: 1.43 [95% CI: 1.11-1.85]) was associated with at least one CMB. Multiple CMBs were associated with worse scores in memory and executive domains. Conclusion: Older age, hypertension, history of stroke, and history of smoking emerged as important risk factors for the presence of multiple CMBs. Follow-up study is required to determine implications of CMBs. [ABSTRACT FROM AUTHOR]

Background: Spontaneous intracerebral hemorrhage (SICH) accounts for 7.5%-30% of all strokes and carries higher morbidity and mortality. Raised blood urea nitrogen and creatinine ratio (BUNR) is a marker of dehydration and related to poor outcome in stroke patients. However, the ratio varies between 15 and 80 in different studies. The aim of the present study was to assess BUNR as an independent predictor of mortality and its sensitivity and specificity in predicting outcome in the SICH population.Materials and Methods: Patients above the age of 18 years with SICH who were admitted in the Department of Neurology at Sir Sunderlal Hospital, Banaras Hindu University between January 2018 and July 2020 were enrolled in the study and prospectively followed up. Demographic, clinical, radiological, and outcome parameters were recorded.Results: A total of 217 patients were included. Of these, 137 (63%) were males. Seventy-one patients died during the initial 30 days. Number of patients with intraventricular hemorrhage (IVH; P = 0.003), higher mean intracerebral hemorrhage (ICH) volume (P < 0.001) and midline shift (P = 0.021), and poor Glasgow Coma Scale (GCS) score (<9) (P = 0.040) was more in the group which did not survive. Mean level of urea was significantly lower among survivors than in those who died (P = 0.001). BUNR was also significantly higher in those who died than in those who survived (P = 0.001). BUNR with a cutoff value of 39.17 was significantly associated with mortality at 30 days with a sensitivity and specificity of 61.97% and 62.33%, respectively. On performing two different multivariable logistic studies, it was found that model B with BUNR ratio as a predictor of mortality out performed model A (without BUNR).Conclusions: The study showed that SICH was associated with significant mortality. Independent predictors of death at 30 days were lower GCS on admission, larger hematoma volume, and BUNR of more than 39.17. [ABSTRACT FROM AUTHOR]

Introduction: Genetic factors may play a role in the susceptibility of intracerebral hemorrhage (ICH). The present case-control study hypothesized that genetic polymorphisms in tumor necrosis factor- α (TNF-α) gene may affect the risk of ICH.Materials and Methods: In this study, we investigated the association of four single nucleotide polymorphisms (-308G/A, +488G/A, -857C/T, and -1031T/C) within TNF-α gene promoter and their haplotypes with the risk of ICH in a North Indian population. Genotyping was determined by using the SNaPshot method for 100 ICH patients and 100 age and sex-matched ICH-free controls. Conditional logistic regression analysis with adjusting multiple demographic and risk factor variables was used to calculate the strength of association between TNF-α gene polymorphisms and risk of ICH. Haplotypes were reconstructed using PHASE 2.0, and patterns of linkage disequilibrium (LD) analysis were performed using Haploview version 4.2 software.Results: TNF-α +488G/A gene polymorphism was found to be independently associated with the risk of ICH under dominant [GG + GA vs. AA] (OR = 3.1; 95% CI = 1.2-8.2; P = 0.001) and allelic [G vs. A] (OR = 2.2; 95% CI = 1.2-4.2; P = 0.007) models. However, no significant association between -308G/A, -857C/T, and -1031T/C gene polymorphisms and risk of ICH was observed. Haplotype analysis showed that 308A-488G-857C-1031T and 308G-488A-857T-1031T haplotypes were significantly associated with an increased risk of ICH. Strong LD was observed for + 488G/A and -857C/T TNF-α polymorphisms (D' = 0.72, r2= 0.01).Conclusion: Our findings suggest that the TNF-α +488G/A polymorphism may be an important risk factor for ICH, whereas -308G/A, -857C/T, and -1031T/C gene polymorphisms may not be associated with risk of ICH in North Indian population. [ABSTRACT FROM AUTHOR]