The impact of social relationships on the risk of stroke and post-stroke mortality: a systematic review and meta-analysis.

BACKGROUND: The association between poor social relationships and post-stroke mortality remains uncertain, and the evidence regarding the relationship between poor social relationships and the risk of stroke is inconsistent. In this meta-analysis, we aim to elucidate the evidence concerning the risk of stroke and post-stroke mortality among individuals experiencing a poor social relationships, including social isolation, limited social networks, lack of social support, and loneliness. METHODS: A thorough search of PubMed, Embase, and the Cochrane Library databases to systematically identify pertinent studies. Data extraction was independently performed by two researchers. Pooled odds ratios (ORs) with 95% confidence intervals (CIs) were calculated using either a random-effects or fixed-effects model. Sensitivity analyses were conducted to evaluate the reliability of the results. Random-effects meta-regression was performed to explore the sources of heterogeneity in stroke risk estimates between studies. Assessment for potential publication bias was carried out using Egger's and Begg's tests. RESULTS: Nineteen studies were included, originating from 4 continents and 12 countries worldwide. A total of 1,675,707 participants contributed to this meta-analysis. Pooled analyses under the random effect model revealed a significant association between poor social relationships and the risk of stroke (OR = 1.30; 95%CI: 1.17-1.44), as well as increased risks for post-stroke mortality (OR = 1.36; 95%CI: 1.07-1.73). Subgroup analyses demonstrated associations between limited social network (OR = 1.52; 95%CI = 1.04-2.21), loneliness (OR = 1.31; 95%CI = 1.13-1.51), and lack of social support (OR = 1.66; 95%CI = 1.04-2.63) with stroke risk. The meta-regression explained 75.21% of the differences in reported stroke risk between studies. Random-effect meta-regression results indicate that the heterogeneity in the estimated risk of stroke may originate from the continent and publication year of the included studies. CONCLUSION: Social isolation, limited social networks, lack of social support, and feelings of loneliness have emerged as distinct risk factors contributing to both the onset and subsequent mortality following a stroke. It is imperative for public health policies to prioritize the multifaceted influence of social relationships and loneliness in stroke prevention and post-stroke care. TRIAL REGISTRATION: The protocol was registered on May 1, 2024, on the Prospero International Prospective System with registration number CRD42024531036.

Association between intensive blood pressure lowering and stroke-free survival among patients with and without Diabetes.

This study pooled data from SPRINT (Systolic Blood Pressure Intervention Trial) and ACCORD-BP (Action to Control Cardiovascular Risk in Diabetes Blood Pressure) trial to estimate the treatment effect of intensive BP on stroke prevention, and investigate whether stroke risk score impacted treatment effect. Of all the potential manifestations of the hypertension, the most severe outcomes were stroke or death. A composite endpoint of time to death or stroke (stroke-free survival [SFS]), whichever occurred first, was defined as the outcome of interest. Participants without prevalent stroke were stratified into stroke risk tertiles based on the predicted revised Framingham Stroke Risk Score. The stratified Cox model was used to calculate the hazard ratio (HR) for the intensive BP treatment. 834 (5.92%) patients had SFS events over a median follow-up of 3.68 years. A reduction in the risk for SFS was observed among the intensive BP group as compared with the standard BP group (HR: 0.76, 95% CI: 0.65, 0.89; risk difference: 0.98([0.20, 1.76]). Further analyses demonstrated the significant benefit of intensive BP treatment on SFS only among participants having a high stroke risk (risk tertile 1: 0.76 [0.52, 1.11], number needed to treat [NNT] = 861; risk tertile 2: 0.87[0.65, 1.16], NNT = 91; risk tertile 3: 0.69[0.56, 0.86], NNT = 50). Intensive BP treatment lowered the risk of SFS, particularly for those at high risk of stroke.

Factors associated with 90-day mortality in Vietnamese stroke patients: Prospective findings compared with explainable machine learning, multicenter study.

The prevalence and predictors of mortality following an ischemic stroke or intracerebral hemorrhage have not been well established among patients in Vietnam. 2885 consecutive diagnosed patients with ischemic stroke and intracerebral hemorrhage at ten stroke centres across Vietnam were involved in this prospective study. Posthoc analyses were performed in 2209 subjects (age was 65.4 ± 13.7 years, with 61.4% being male) to explore the clinical characteristics and prognostic factors associated with 90-day mortality following treatment. An explainable machine learning model using extreme gradient boosting and SHapley Additive exPlanations revealed the correlation between original clinical research and advanced machine learning methods in stroke care. In the 90 days following treatment, the mortality rate for ischemic stroke was 8.2%, while for intracerebral hemorrhage, it was higher at 20.5%. Atrial fibrillation was an elevated risk of 90-day mortality in the ischemic stroke patient (OR 3.09; 95% CI 1.90-5.02, p<0.001). Among patients with intracerebral hemorrhage, there was no statistical significance in those with hypertension compared to their counterparts without hypertension (OR 0.65, 95% CI 0.41-1.03, p > 0.05). The baseline NIHSS score was a significant predictor of 90-day mortality in both patient groups. The machine learning model can predict a 0.91 accuracy prediction of death rate after 90 days. Age and NIHSS score were in the top high risks with other features, such as consciousness, heart rate, and white blood cells. Stroke severity, as measured by the NIHSS, was identified as a predictor of mortality at discharge and the 90-day mark in both patient groups.

The role of the prognostic nutritional index in predicting mortality in stroke patients.

OBJECTIVE: The aim of this study was to evaluate the role of the prognostic nutritional index in predicting in-hospital mortality among patients with acute ischemic stroke. METHODS: This retrospective, observational study included patients diagnosed with acute ischemic stroke at the emergency department of the hospital between January 1, 2022, and January 1, 2023. Demographic data, vital parameters, comorbidities, stroke interventions, and laboratory data were collected from electronic medical records. Prognostic nutritional index was calculated using serum albumin levels and a total lymphocyte count. The primary outcome was in-hospital mortality. RESULTS: The study included 176 patients, divided into survivor (93.2%, n=164) and deceased (6.8%, n=12) groups. No significant differences were observed in age, gender, blood pressure, heart rate, or body temperature between the groups. Atrial fibrillation was significantly more common in the deceased group (50%) compared to the survivor group (18.9%) (p=0.011). The median lymphocyte count was significantly higher in the survivor group (1,353 [interquartile range, IQR 984-1,968]/mm³) compared to the deceased group (660 [IQR 462-1,188]/mm³) (p=0.009). The median albumin level was significantly lower in the deceased group (3.31 [IQR 2.67-3.4] g/dL) compared to the survivor group (3.74 [IQR 3.39-4.21] g/dL) (p<0.001). The median prognostic nutritional index was significantly higher in the survivor group (46.05 [IQR 39.1-51.3]) compared to the deceased group (36.7 [IQR 28.7-40.5]) (p<0.001). The area under the receiver operating characteristic for prognostic nutritional index predicting mortality was 0.791 (95%CI 0.723-0.848) (p=0.0002), with a cut-off value of ≤41.92 providing the highest diagnostic accuracy. CONCLUSIONS: Prognostic nutritional index is a valuable prognostic indicator for in-hospital mortality in acute ischemic stroke patients. Low prognostic nutritional index values are associated with increased mortality risk. Incorporating prognostic nutritional index into clinical practice may aid in the early identification of high-risk patients and the optimization of treatment strategies. Further research is needed to validate these findings and explore the broader clinical applications of prognostic nutritional index.

A comprehensive comparison of machine learning models for ICH prognostication: Retrospective review of 1501 intra-cerebral hemorrhage patients from the Qatar stroke database.

Multiple prognostic scores have been developed to predict morbidity and mortality in patients with spontaneous intracerebral hemorrhage(sICH). Since the advent of machine learning(ML), different ML models have also been developed for sICH prognostication. There is however a need to verify the validity of these ML models in diverse patient populations. We aim to create machine learning models for prognostication purposes in the Qatari population. By incorporating inpatient variables into model development, we aim to leverage more information. 1501 consecutive patients with acute sICH admitted to Hamad General Hospital(HGH) between 2013 and 2023 were included. We trained, evaluated, and compared several ML models to predict 90-day mortality and functional outcomes. For our dataset, we randomly selected 80% patients for model training and 20% for validation and used k-fold cross validation to train our models. The ML workflow included imbalanced class correction and dimensionality reduction in order to evaluate the effect of each. Evaluation metrics such as sensitivity, specificity, F-1 score were calculated for each prognostic model. Mean age was 50.8(SD 13.1) years and 1257(83.7%) were male. Median ICH volume was 7.5 ml(IQR 12.6). 222(14.8%) died while 897(59.7%) achieved good functional outcome at 90 days. For 90-day mortality, random forest(RF) achieved highest AUC(0.906) whereas for 90-day functional outcomes, logistic regression(LR) achieved highest AUC(0.888). Ensembling provided similar results to the best performing models, namely RF and LR, obtaining an AUC of 0.904 for mortality and 0.883 for functional outcomes. Random Forest achieved the highest AUC for 90-day mortality, and LR achieved the highest AUC for 90-day functional outcomes. Comparing ML models, there is minimal difference between their performance. By creating an ensemble of our best performing individual models we maintained maximum accuracy and decreased variance of functional outcome and mortality prediction when compared with individual models.

Stroke Death Rates Among Adults Ages 45-64 by Region and Race and Hispanic Origin: United States, 2002-2022.

Introduction: This Data Brief presents trends in stroke death rates among people ages 45-64, in total and by sex, for 2002 to 2022. Trends are also presented for men and women by region (Northeast, Midwest, South, and West) from 2002 to 2022. For 2022, stroke death rates are presented for men and women by race and Hispanic origin within each region. Methods: Mortality data for 2002-2017 are from the National Center for Health Statistics' 1999-2020 Underlying Cause of Death by Bridged-Race Categories and data for 2018-2022 are from the 2018-2022 Underlying Cause of Death by Single-Race Categories. Stroke deaths are for people ages 45-64 and are identified by International Classification of Diseases, 10th Revision underlying cause-of-death codes I60-I69. The four regions of the United States are: Northeast, Midwest, South, and West. The four race and Hispanic-origin groups in this report are: Asian non-Hispanic; Black non-Hispanic; White non-Hispanic, and Hispanic. These groups had at least 20 stroke deaths among men and women in all regions to compute reliable rates. Line trends were evaluated using the National Cancer Institute's Joinpoint Regression Program. Pairwise comparisons were tested using the z test statistic at p < 0.05. Key findings: After declines between 2002 and 2012, stroke death rates for adults ages 45-64 increased 7% between 2012 (20.2 per 100,000) and 2019 (21.7) and an additional 12% through 2021 (24.4). Throughout the period, the highest stroke death rates for both men and women were in the South and the lowest were in the Northeast. In each region, differences in stroke death rates by race and Hispanic origin were seen, as Black men and women had rates that were at least twice those of all other groups.

Time to death and its determinant factors of stroke patients at Gambella General Hospital, Gambella, Ethiopia.

BACKGROUND AND PURPOSE: A stroke or a cerebrovascular accident is a common cause of death and a leading cause of long-term, severe disability in both developed and developing countries. The most recent global burden of disease report states that there were 11.9 million new cases of stroke worldwide; stroke accounts for nearly 1 in 8 deaths globally (12%, 6.5 million deaths) and claims a life every 5 s, making it the second most common cause of death worldwide. The goal of the study was to identify the most important factors influencing stroke patients' time to death at Gambella General Hospital. METHODS: Data was gathered from patient files in a hospital using a retrospective study methodology, spanning the period from September 2018 to September 2020. R 3.4.0 statistical software and STATA version 14.2 were used for data entry and analysis. The survival time was compared using the log-rank tests and the Kaplan-Meier survival curve. The fitness of the Cox proportional hazard model was examined. RESULTS: The final model that was fitted was the log-logistic AFT model. A statistically significant correlation was defined as having a p value of less than 0.05 and the accelerated factor (γ) with its 95% confidence interval was employed. Eight days was the total median death time (95% CI 6-10). Significant predictors for shortened mortality time were age (γ = 0.94; 95% CI (0.0.920-0.980), hypertension (γ = 0.63; 95% CI (0.605-0.660), and baseline complications (γ = 0.24; 95% CI (0.223-0.256). CONCLUSIONS: The shortened timing of death was significantly predicted by age, hypertension, and baseline complications. In light of the study's findings, health administrators and caregivers should work to improve society's overall health.

Cluster-Based White Matter Signatures and the Risk of Dementia, Stroke, and Mortality in Community-Dwelling Adults.

BACKGROUND AND OBJECTIVES: Markers of white matter (WM) injury on brain MRI are important indicators of brain health. Different patterns of WM atrophy, WM hyperintensities (WMHs), and microstructural integrity could reflect distinct pathologies and disease risks, but large-scale imaging studies investigating WM signatures are lacking. This study aims to identify distinct WM signatures using brain MRI in community-dwelling adults, determine underlying risk factor profiles, and assess risks of dementia, stroke, and mortality associated with each signature. METHODS: Between 2005 and 2016, we measured WMH volume, WM volume, fractional anisotropy (FA), and mean diffusivity (MD) using automated pipelines on structural and diffusion MRI in community-dwelling adults aged older than 45 years of the Rotterdam study. Continuous surveillance was conducted for dementia, stroke, and mortality. We applied hierarchical clustering to identify separate WM injury clusters and Cox proportional hazard models to determine their risk of dementia, stroke, and mortality. RESULTS: We included 5,279 participants (mean age 65.0 years, 56.0% women) and identified 4 distinct data-driven WM signatures: (1) above-average microstructural integrity and little WM atrophy and WMH; (2) above-average microstructural integrity and little WMH, but substantial WM atrophy; (3) poor microstructural integrity and substantial WMH, but little WM atrophy; and (4) poor microstructural integrity with substantial WMH and WM atrophy. Prevalence of cardiovascular risk factors, lacunes, and cerebral microbleeds was higher in clusters 3 and 4 than in clusters 1 and 2. During a median 10.7 years of follow-up, 291 participants developed dementia, 220 had a stroke, and 910 died. Compared with cluster 1, dementia risk was increased for all clusters, notably cluster 3 (hazard ratio [HR] 3.06, 95% CI 2.12-4.42), followed by cluster 4 (HR 2.31, 95% CI 1.58-3.37) and cluster 2 (HR 1.67, 95% CI 1.17-2.38). Compared with cluster 1, risk of stroke was higher only for clusters 3 (HR 1.55, 95% CI 1.02-2.37) and 4 (HR 1.94, 95% CI 1.30-2.89), whereas mortality risk was increased in all clusters (cluster 2: HR 1.27, 95% CI 1.06-1.53, cluster 3: HR 1.65, 95% CI 1.35-2.03, cluster 4: HR 1.76, 95% CI 1.44-2.15), compared with cluster 1. Models including clusters instead of an individual imaging marker showed a superior goodness of fit for dementia and mortality, but not for stroke. DISCUSSION: Clustering can derive WM signatures that are differentially associated with dementia, stroke, and mortality risk. Future research should incorporate spatial information of imaging markers.

Hospital overcrowding and care of stroke patients: Irish national audit of stroke.

INTRODUCTION: Hospital overcrowding where patient admissions exceed capacity is associated with worse outcomes in Emergency Department. Developments in emergency stroke care have been associated with improvements in stroke outcome but are dependent on effective, organised care. We examined if overcrowding in the hospital system was associated with negative changes in stroke outcome. METHODS: Data on overcrowding were obtained from the Irish Nurses and Midwives Organisation (INMO) 'Trolley Count' database recording the number of patients cared for on trolleys/chairs in all acute hospitals each midnight. These were compared with quarterly data from the Irish National Audit of Stroke from 2013 to 2021 inclusive. Variables analysed were inpatient mortality rate, thrombolysis rate for ischaemic stroke, median door to needle time and median length of stay. RESULTS: 579449 patient episodes were recorded by Trolley Watch over the period, (Quarterly Median 16719.5, range 3389-27015). Average Quarterly Thrombolysis rate was 11.3% (sd 1.3%) Median Quarterly Inpatient Mortality rate was 11.8% (Range 8.9-14.0%). Median Quarterly Length of stay was 9 days (8-11 days). Median quarterly door to needle was 65 min (45-80 min). Q1 was typically the worst for overcrowding with on average 19777 incidences (sd 4786). This was significantly higher than for Q2 (mean 13540 (sd 4785) p = 0.005 t-test) and for Q3 (mean 14542 (sd 4753) p = 0.03). No significant correlation was found between quarterly Trolley watch episodes and inpatient mortality (r = 0.084, p = 0.63), median length of stay r=-0.15, p = 0.37) or thrombolysis rate (r = 0.089 p = 0.61). There was an unexpected significant negative correlation between trolley watch data and median door to needle time (r=-0.36, p = 0.03). CONCLUSION: Despite increasing hospital overcrowding, stroke services still managed to preserve standard of care. We could find no association between levels of overcrowding and deterioration in selected indices of patient care.

Poststroke Cognitive Impairment and the Risk of Recurrent Stroke and Mortality: Systematic Review and Meta-Analysis.

BACKGROUND: Poststroke cognitive impairment (PSCI) occurs in about 60% of patients with stroke in the first year after stroke. However, the question regarding risks of recurrent stroke and mortality in patients with PSCI remains controversial. The goal of this study was to conduct a meta-analysis of published literature to estimate the risks of stroke recurrence and mortality associated with PSCI. METHODS AND RESULTS: Electronic databases were screened for eligible studies published from 1990 to 2023. The primary end points of this study were recurrent stroke and mortality. Pooled estimates were calculated as hazard ratios (HR) with 95% CIs. Meta-regression analyses evaluated moderating effects of PSCI severity, study design, and study period on recurrent stroke and mortality. Pooled data from 27 studies comprised 39 412 patients with ischemic stroke. Nine studies evaluated the association between PSCI and risk of stroke recurrence that showed the hazard of recurrent stroke risk was significantly higher in patients with PSCI compared with those without it (HR, 1.59 [95% CI, 1.29-1.94]; I2=52.2%). Eighteen studies examined the impact of PSCI on mortality risk. The pooled hazard of mortality was significantly higher in the group with PSCI relative to the non-PSCI group (HR, 2.07 [95% CI, 1.65 -2.59]; I2=89.3%). Meta-regressions showed that the average effect of PSCI on mortality risk differed across study period and study design. CONCLUSIONS: Based on this meta-analysis PSCI was statistically significantly associated with increased risks of recurrent stroke and all-cause mortality. Poststroke neurocognitive assessment may identify patients at a higher risk who may require more aggressive interventions for secondary prevention.

In-hospital mortality and its associated factors among hospitalized stroke patients at public hospitals of Eastern Ethiopia.

BACKGROUND: Stroke is rapidly developing clinical signs of focal/ global disturbance of cerebral function, with symptoms lasting more than 24 h and leading to death. Data showed that stroke deaths in Ethiopia reached nearly seven percent of total deaths. Despite this report, there is a paucity of investigations about the problem. OBJECTIVE: To determine in-hospital mortality and its associated factors among hospitalized stroke patients in Hiwot Fana Comprehensive Specialized University Hospital and Jugal General Hospital, eastern Ethiopia from September 2016-August 2022 G.C. METHODS: A retrospective cohort study was conducted among hospitalized stroke patients. A sample size of 395 medical records was selected from a total of 564 stroke patients by a simple random sampling technique. The data was analyzed by SPSS version 26 using bivariable and multivariable cox-regression models. A p-value of 0.05 and less at a 95% confidence interval was used to establish a statistically significant association. RESULTS: Of the total, 109 (27.6%) died in the hospital while 57.2% and 15.2% of them were discharged with improvement and against medical advice, respectively. Age greater than 65 (AHR = 4.71, 95% CI = 1.11-19.96), creatinine level > 1.2 mg/dl (AHR = 1.54, 95% CI = 1.0-2.39), and co-morbidity with atrial fibrillation (AHR = 1.48, 95% CI = 1.0-2.21) were significantly associated with in-hospital mortality. CONCLUSION: In-hospital mortality was found in more than a quarter of stroke patients. Mortality was more likely increased among the patients with age > 65, serum creatinine level > 1.2 mg/dl, and atrial fibrillation. Hence, these high-risk patients need to be monitored.

Accelerated biological aging elevates the risk of cardiometabolic multimorbidity and mortality.

Associations of biological aging with the development and mortality of cardiometabolic multimorbidity (CMM) remain unclear. Here we conducted a multistate analysis in 341,159 adults of the UK Biobank. CMM was defined as the coexistence of two or three cardiometabolic diseases (CMDs), including type 2 diabetes, ischemic heart disease and stroke. Biological aging was measured using the Klemera-Doubal Method Biological Age and PhenoAge algorithms. Over a median follow-up of 8.84 years, biologically older participants demonstrated robust higher risks from first CMD to CMM and then to death. In particular, adjusted hazard ratios for first CMD to CMM and for CMM to death were 1.15 (95% confidence interval (CI): 1.12, 1.19) and 1.26 (95% CI: 1.17, 1.35) per 1 s.d. increase in PhenoAge acceleration, respectively. Compared with frailty, Framingham Risk Score and Systematic Coronary Risk Evaluation 2 (SCORE2), biological aging measures yielded consistent substantial associations with CMM development. Accelerated biological aging may help identify individuals with CMM risks, potentially enabling early intervention and subclinical prevention.

Trend analysis of stroke subtypes mortality attributable to high body-mass index in China from 1990 to 2019.

BACKGROUND: The prevalence of stroke disability associated with high BMI has significantly increased over the past three decades. However, it remains uncertain whether high body-mass index (BMI) exerts a similar impact on the disease burden of different stroke subtypes. The aim of this study is to assess the long-term trends of stroke and subtypes mortality attributable to high BMI in China between 1990 and 2019. METHODS: Data on stroke and subtypes mortality attributable to high BMI in China was extracted in the Global Burden of Disease (GBD) 2019. The trends of age-standardized mortality rate (ASMR) were calculated using the linear regression and age-period-cohort framework. RESULTS: The changing trend of ASMR on stroke attributable to high BMI in China differed among subtypes, with an estimated annual percentage change (EAPC) and 95%CI of 2.04 (1.86 to 2.21) for ischemic stroke (IS), 0.36 (-0.03 to 0.75) for intracerebral hemorrhage (ICH), and - 4.62 (-5.44 to -3.78) for subarachnoid hemorrhage (SAH). Net and local drift analyses revealed a gradual increase in the proportion of older people with IS and a gradual increase in the proportion of younger people with hemorrhagic strokes. The cohort and period rate ratios varied by subtype, showing an increasing trend for IS and ICH but a decreasing trend for SAH. The stroke mortality attributable to high BMI increased significantly with age for IS and ICH, peaking between ages 50-70 for SAH. Notably, males had higher ASMR related to stroke but exhibited slighter declines or higher growth compared to females in China. Moreover, the population affected by fatal strokes tended to be older among females but more evenly distributed across a wider age range encompassing both younger and older individuals. CONCLUSION: The research findings indicate a rising trend in the ASMR of stroke and subtypes attributable to high BMI in China from 1990 to 2019, with different patterns of change for different subtypes, genders and ages. Consequently, it is imperative for public health authorities in China to formulate guidelines for specific stroke subtypes, genders and ages to prevent the burden of stroke attributable to high BMI.

Physical activity modification following a Transient Ischemic Attack in individuals with diabetes.

BACKGROUND: Individuals with diabetes exhibit a higher risk of cardiovascular disease and mortality compared to healthy individuals. Following a transient ischemic attack (TIA) the risk of stroke and death increase further. Physical activity engagement after a TIA is an effective way of secondary prevention. However, there's a lack of research on how individuals with diabetes modify physical activity levels and how these adjustments impact survival post-TIA. This study aimed to determine the extent to which individuals with diabetes alter their physical activity levels following a TIA and to assess the impact of these changes on mortality. METHODS: This was a nationwide longitudinal study, employing data from national registers in Sweden spanning from 01/01/2003 to 31/12/2019. Data were collected 2 years retro- and prospectively of TIA occurrence, in individuals with diabetes. Individuals were grouped based on decreasing, remaining, or increasing physical activity levels after the TIA. Cox proportional hazards models were fitted to evaluate the adjusted relationship between change in physical activity and all-cause, cardiovascular, and non-cardiovascular mortality. RESULTS: The final study sample consisted of 4.219 individuals (mean age 72.9 years, 59.4% males). Among them, 35.8% decreased, 37.5% kept steady, and 26.8% increased their physical activity after the TIA. A subsequent stroke occurred in 6.7%, 6.4%, and 6.1% of individuals, while death occurred in 6.3%, 7.3%, and 3.7% of individuals, respectively. In adjusted analyses, participants who increased their physical activity had a 45% lower risk for all-cause mortality and a 68% lower risk for cardiovascular mortality, compared to those who decreased their physical activity. CONCLUSIONS: Positive change in physical activity following a ΤΙΑ was associated with a reduced risk of mortality. Increased engagement in physical activity should be promoted after TIA, thereby actively supporting individuals with diabetes in achieving improved health outcomes.

Differences between atrial fibrillation diagnosed before and after stroke: A large real-world cohort study.

The clinical characteristics and long-term outcomes of patients with ischemic stroke (IS) and atrial fibrillation detected after stroke (AFDAS) have not been clearly established. Previous studies evaluating patients with AFDAS were limited by the low prescription rates of anticoagulants and short follow-up periods. Consecutive patients hospitalized for IS between 2014 and 2017 were identified from a National Health Insurance Research Database. The included patients were categorized into three groups: (1) known diagnosis of AF (KAF) before the index stroke, (2) AFDAS, and (3) without AF (non-AF). Univariable and multivariable Cox regression analyses were performed to estimate the hazard ratio (HR) for independent variables and recurrent IS, hemorrhagic stroke, or all-cause mortality. We identified 158,909 patients with IS of whom 16,699 (10.5%) had KAF and 7,826 (4.9%) had AFDAS. The patients with AFDAS were younger, more often male, and had lower CHA2DS2-VASc scores (3.8 ± 1.9 versus 4.9 ± 1.8, p < 0.001) than the patients with KAF. Anticoagulant treatment significantly reduced the risks of all outcomes. The standardized mortality rates were 40.4, 28.6, and 18.4 (per 100 person-years) for the patients with KAF, AFDAS, and non-AF, respectively. Compared with AFDAS, KAF was associated with lower risks of recurrent IS [hazard ratio (HR): 0.91, 95% confidence interval (CI): 0.86-0.97, p < 0.01] and hemorrhagic stroke (HR: 0.88, 95% CI: 0.79-0.99, p < 0.01) and a higher risk of all-cause mortality (HR: 1.11, 95% CI: 1.07-1.16, p < 0.001). The risks of recurrent IS and hemorrhagic stroke were higher and of all-cause mortality was lower for patients with AFDAS than with KAF. There is a strong need to refine treatment modalities to reduce the high mortality in patients with KAF and AFDAS.

Contribution of Stroke to Long-Term All-Cause and Cause-Specific Mortality in Mexico City.

BACKGROUND AND OBJECTIVES: Stroke mortality is more common in low-income and middle-income nations such as Mexico. Prognosis data typically rely on short-term hospital follow-ups, revealing high mortality rates due to systemic complications and early recurrence. We aim to explore stroke's long-term impact by examining all-cause and cause-specific mortality. METHODS: We analyzed data from the Mexico City Prospective Study (1998-2004) with known mortality outcomes until December 2022. Baseline variables were compared between participants who had stroke and nonstroke participants. Cox proportional hazard regression assessed each variable's contribution to overall mortality. Subsequent analysis within the stroke subgroup aimed to identify unique risk factors of mortality, using Cox regression models adjusted for age, sex, and time since stroke. RESULTS: Among 145,537 eligible participants, 1,492 (1.0%) had a history of stroke. Participants who had stroke were older (57.58 vs 50.16, p < 0.001); had lower mean weekly income ($108.24 vs $176.14, p < 0.001); had higher alcohol intake and smoking frequency; and had more frequent comorbidities such as hypertension (48.9 vs 19.3%, p < 0.001), diabetes (23.4 vs 12.9%, p < 0.001), and ischemic heart disease (5.4 vs 1.0%, p < 0.001). They had a significantly increased risk of death from any cause (hazard ratio [HR] 2.59, 95% CI 2.37-2.83, p < 0.001). Deceased participants with stroke were more likely to be male, with a higher prevalence of diabetes, hypertension, and abnormal waist-hip index. Stroke increased the risk of death from cardiac (HR 3.56, 95% CI 3.02-4.19, p < 0.001), renal (HR 2.05, 95% CI 1.58-2.66, p < 0.001), and pulmonary (HR 2.29, 95% CI 1.79-2.92, p < 0.001) causes. DISCUSSION: This study confirms stroke's association with higher mortality rates, especially from cardiac, renal, and pulmonary causes in Mexico. It underscores the elevated prevalence of cardiovascular comorbidities and adverse socioeconomic profiles among participants who had stroke and those who died with a history of stroke.

Association Between Frequency of Rehabilitation Therapy and Long-Term Mortality After Stroke: A Nationwide Cohort Study.

BACKGROUND: Previous studies have demonstrated conflicting results regarding the effects of rehabilitation therapy on poststroke mortality. We aimed to investigate the association between rehabilitation therapy, including both inpatient and outpatient treatment, within the first 6 months after stroke and long-term all-cause mortality in patients with stroke using the Korean National Health Insurance System data. METHODS: A total of 10 974 patients newly diagnosed with stroke using the International Classification of Diseases, Tenth Revision, codes (I60-I64) between 2003 and 2019 were enrolled and followed up for all-cause mortality until 2019. Follow-up for mortality began 6 months after the index event. Poststroke patients were categorized into 3 groups according to the frequency of rehabilitation therapy: no rehabilitation therapy, ≤40 sessions and >40 sessions. Cox proportional hazards models were used to assess the mortality risk according to rehabilitation therapy stratified by disability severity measured based on activities of daily living 6 months after stroke onset. RESULTS: Within 6 months after stroke, 6738 patients (61.4%) did not receive rehabilitation therapy, whereas 2122 (19.3%) received ≤40 sessions and 2114 (19.3%) received >40 sessions of rehabilitation therapy. Higher frequency of rehabilitation therapy was associated with significantly lower poststroke mortality in comparison to no rehabilitation therapy (hazard ratio [HR], 0.88 [95% CI, 0.79-0.99]), especially among individuals with severe disability after stroke (mild to moderate: HR, 1.02 [95% CI, 0.77-1.35]; severe: HR, 0.74 [95% CI, 0.62-0.87]). In the context of stroke type, higher frequency of rehabilitation therapy was associated with reduced mortality rates compared with no rehabilitation therapy only in patients with hemorrhagic stroke (ischemic: HR, 1.04 [95% CI, 0.91-1.18]; hemorrhagic: HR, 0.60 [95% CI, 0.49-0.74]). CONCLUSIONS: We found a positive association between rehabilitation therapy within 6 months after stroke onset and long-term mortality in patients with stroke. A higher frequency of rehabilitation therapy would be recommended for poststroke patients, especially those with hemorrhagic stroke and severe disability.

Age- and Sex-Specific Analysis of Stroke Hospitalization Rates, Risk Factors, and Outcomes From German Nationwide Data.

BACKGROUND: Significant age and sex differences have been reported at each stage of the stroke pathway, from risk factors to outcomes. However, there is some uncertainty in previous studies with regard to the role of potential confounders and selection bias. Therefore, using German nationwide administrative data, we aimed to determine the magnitude and direction of trends in age- or sex-specific differences with respect to admission rates, risk factors, and acute treatments of ischemic and hemorrhagic stroke. METHODS: We obtained and analyzed data from the Research Data Centres of the Federal Statistical Office for the years 2010 to 2020 with regard to all acute stroke hospitalizations, risk factors, treatments, and in-hospital mortality, stratified by sex and stroke subtype. This database provides a complete national-level census of stroke hospitalizations combined with population census counts. All hospitalized patients ≥15 years with an acute stroke (diagnosis code: I60-64) were included in the analysis. RESULTS: Over the 11-year study period, there were 3 375 157 stroke events; 51.2% (n=1 728 954) occurred in men. There were higher rates of stroke admissions in men compared with women for both ischemic (378.1 versus 346.7/100 000 population) and hemorrhagic subtypes (75.6 versus 65.5/100 000 population) across all age groups. The incidence of ischemic stroke admissions peaked in 2016 among women (354.0/100 000 population) and in 2017 among men (395.8/100 000 population), followed by a consistent decline from 2018 onward. There was a recent decline in hemorrhagic stroke admissions observed for both sexes, reaching its nadir in 2020 (68.9/100 000 for men; 59.5/100 000 for women). Female sex was associated with in-hospital mortality for both ischemic (adjusted odds ratio, 1.11 [1.09-1.12]; P<0.001) and hemorrhagic stroke (adjusted odds ratio, 1.18 [95% CI, 1.16-1.20]; P<0.001). CONCLUSIONS: Despite improvements in stroke prevention and treatment pathways in the past decade, sex-specific differences remain with regard to hospitalization rates, risk factors, and mortality. Better understanding the mechanisms for these differences may allow us to develop a sex-stratified approach to stroke care.

Association of Body Mass Index with Outcomes in Patients with Heart Failure with Reduced Ejection Fraction (HFrEF).

Heart failure (HF) is a major health issue, affecting up to 2% of the adult population worldwide. Given the increasing prevalence of obesity and its association with various cardiovascular diseases, understanding its role in HFrEF outcomes is crucial. This study aimed to investigate the impact of obesity on in-hospital mortality and prolonged hospital stay in patients with heart failure with reduced ejection fraction (HFrEF). We conducted a retrospective analysis of 425 patients admitted to the cardiology unit at the University Clinical Hospital in Wroclaw, Poland, between August 2018 and August 2020. Statistical analyses were performed to evaluate the interactions between BMI, sex, and comorbidities on in-hospital mortality. Significant interactions were found between sex and BMI as well as between BMI and post-stroke status, affecting in-hospital mortality. Specifically, increased BMI was associated with decreased odds of in-hospital mortality in males (OR = 0.72, 95% CI: 0.55-0.94, p < 0.05) but higher odds in females (OR = 1.18, 95% CI: 0.98-1.42, p = 0.08). For patients without a history of stroke, increased BMI reduced mortality odds (HR = 0.78, 95% CI: 0.64-0.95, p < 0.01), whereas the effect was less pronounced in those with a history of stroke (HR = 0.89, 95% CI: 0.76-1.04, p = 0.12). In conclusion, the odds of in-hospital mortality decreased significantly with each 10% increase in BMI for males, whereas for females, a higher BMI was associated with increased odds of death. Additionally, BMI reduced in-hospital mortality odds more in patients without a history of cerebral stroke (CS) compared to those with a history of CS. These findings should be interpreted with caution due to the low number of observed outcomes and potential interactions with BMI and sex.