Assessing Safety of Anticoagulation for Atrial Fibrillation in Patients with Cirrhosis: A Real-World Outcomes Study.

AIMS: In patients with atrial fibrillation (AF) and stroke risk factors, randomized trials have demonstrated that anticoagulation decreases the risk of ischemic stroke. However, all trials to date have excluded patients with significant liver disease, leaving guidelines to extrapolate recommendations. We aim to evaluate the impact of anticoagulation on safety events in patients with AF and cirrhosis. METHODS AND RESULTS: In this retrospective cohort study, we obtained de-identified health record data to extract anticoagulation strategy, comorbidities, prescriptions, lab values, and procedures for a cohort of patients with cirrhosis who develop AF. After selecting a propensity matched population to match patients with various anticoagulation strategies, we tracked data on outcomes for death, transfusion requirements, hospital and ICU admissions. After propensity score weighting and multivariable adjustment, anticoagulation strategy was associated with increased hospital admission count (OR = 1.74 per admission, P < .001), binary risk of hospital admission (OR = 1.54, P = .010) and risk of ICU admission (OR = 1.41, P = .047). We detected no significant differences in mortality, transfusion of blood products, or average length of stay. Direct oral anticoagulant (DOAC) prescriptions were associated with increased binary risk of hospital admission compared to warfarin prescriptions. In a third comparison, DOAC strategy alone was associated with increased hospital admission count (OR = 1.41 per admission, P < .001) and binary risk of hospital admission (OR = 1.52, P = .038) compared to no anticoagulation strategy. CONCLUSION: Anticoagulation strategy in patients with cirrhosis and AF was associated with increased rate of hospital admission and ICU admission but not associated with increased risk of mortality or transfusion requirement.

Predictive value of the random forest model based on bioelectrical impedance analysis parameter trajectories for short-term prognosis in stroke patients.

BACKGROUND: The short-term prognosis of stroke patients is mainly influenced by the severity of the primary disease at admission and the trend of disease development during the acute phase (1-7 days after admission). OBJECTIVE: The aim of this study is to explore the relationship between the bioelectrical impedance analysis (BIA) parameter trajectories during the acute phase of stroke patients and their short-term prognosis, and to investigate the predictive value of the prediction model constructed using BIA parameter trajectories and clinical indicators at admission for short-term prognosis in stroke patients. METHODS: A total of 162 stroke patients were prospectively enrolled, and their clinical indicators at admission and BIA parameters during the first 1-7 days of admission were collected. A Group-Based Trajectory Model (GBTM) was employed to identify different subgroups of longitudinal trajectories of BIA parameters during the first 1-7 days of admission in stroke patients. The random forest algorithm was applied to screen BIA parameter trajectories and clinical indicators with predictive value, construct prediction models, and perform model comparisons. The outcome measure was the Modified Rankin Scale (mRS) score at discharge. RESULTS: PA in BIA parameters can be divided into four separate trajectory groups. The incidence of poor prognosis (mRS: 4-6) at discharge was significantly higher in the "Low PA Rapid Decline Group" (85.0%) than in the "High PA Stable Group " (33.3%) and in the "Medium PA Slow Decline Group "(29.5%) (all P < 0.05). In-hospital mortality was the highest in the "Low PA Rapid Decline Group" (60%) compared with the remaining trajectory groups (P < 0.05). Compared with the prediction model with only clinical indicators (Model 1), the prediction model with PA trajectories (Model 2) demonstrated higher predictive accuracy and efficacy. The area under the receiver operating characteristic curve (AUC) of Model 2 was 0.909 [95% CI 0.863, 0.956], integrated discrimination improvement index (IDI), 0.035 (P < 0.001), and net reclassification improvement (NRI), 0.175 (P = 0.031). CONCLUSION: PA trajectories during the first 1-7 days of admission are associated with the short-term prognosis of stroke patients. PA trajectories have additional value in predicting the short-term prognosis of stroke patients.

Temporal Trends and Racial Disparities in Long-Term Survival After Stroke.

BACKGROUND AND OBJECTIVES: Few studies have examined trends and disparities in long-term outcome after stroke in a representative US population. We used a population-based stroke study in the Greater Cincinnati Northern Kentucky region to examine trends and racial disparities in poststroke 5-year mortality. METHODS: All patients with acute ischemic strokes (AISs) and intracerebral hemorrhages (ICHs) among residents ≥20 years old were ascertained using ICD codes and physician-adjudicated using a consistent case definition during 5 periods: July 1993-June 1994 and calendar years 1999, 2005, 2010, and 2015. Race was obtained from the medical record; only those identified as White or Black were included. Premorbid functional status was assessed using the modified Rankin Scale, with a score of 0-1 being considered "good." Mortality was assessed with the National Death Index. Trends and racial disparities for each subtype were analyzed with logistic regression. RESULTS: We identified 8,428 AIS cases (19.3% Black, 56.3% female, median age 72) and 1,501 ICH cases (23.5% Black, 54.8% female, median age 72). Among patients with AIS, 5-year mortality improved after adjustment for age, race, and sex (53% in 1993/94 to 48.3% in 2015, overall effect of study year p = 0.009). The absolute decline in 5-year mortality in patients with AIS was larger than what would be expected in the general population (5.1% vs 2.8%). Black individuals were at a higher risk of death after AIS (odds ratio [OR] 1.23, 95% CI 1.08-1.39) even after adjustment for age and sex, and this effect was consistent across study years. When premorbid functional status and comorbidities were included in the model, the primary effect of Black race was attenuated but race interacted with sex and premorbid functional status. Among male patients with a good baseline functional status, Black race remained associated with 5-year mortality (OR 1.4, 95% CI 1.1-1.7, p = 0.002). There were no changes in 5-year mortality after ICH over time (64.4% in 1993/94 to 69.2% in 2015, overall effect of study year p = 0.32). DISCUSSION: Long-term survival improved after AIS but not after ICH. Black individuals, particularly Black male patients with good premorbid function, have a higher mortality after AIS, and this disparity did not change over time.

The impact of hospital presentation time on stroke outcomes: A nationally representative Irish cohort study.

OBJECTIVES: There is conflicting evidence regarding the outcomes of acute stroke patients who present to hospital within normal working hours ('in-hours') compared with the 'out-of-hours' period. This study aimed to assess the effect of time of stroke presentation on outcomes within the Irish context, to inform national stroke service delivery. MATERIALS AND METHODS: A secondary analysis of data from the Irish National Audit of Stroke (INAS) from Jan 2016 to Dec 2019 was carried out. Patient and process outcomes were assessed for patients presenting 'in-hours' (8:00-17:00 Monday-Friday) compared with 'out-of-hours' (all other times). RESULTS: Data on arrival time were available for 13,996 patients (male 56.2%; mean age 72.5 years), of which 55.7% presented 'out-of-hours'. In hospital mortality was significantly lower among those admitted 'in-hours' (11.3%, n = 534) compared with 'out-of-hours' (12.8%, n = 749); (adjusted Odds Ratio (OR) 0.82; 95% Confidence Interval CI [95% CI] 0.72-0.89). Poor functional outcome at discharge (Modified Rankin Scale ≥ 3) was also significantly lower in those presenting 'in-hours' (adjusted OR 0.79; 95% CI 0.68-0.91). In patients receiving thrombolysis, mean door to needle time was shorter for 'in-hours' presentation at 55.8 mins (n = 562; SD 35.43 mins), compared with 'out-of-hours' presentation at 80.5 mins (n = 736; SD 38.55 mins, p < .001). CONCLUSION: More than half of stroke patients in Ireland present 'out-of-hours' and these presentations are associated with a higher mortality and a lower odds of functional independence at discharge. It is imperative that stroke pathways consider the 24 hour period to ensure the delivery of effective stroke care, and modification of 'out-of-hours' stroke care is required to improve overall outcomes.

Global burden and cross-country inequalities in stroke and subtypes attributable to diet from 1990 to 2019.

DATA SOURCES: The Global Burden of Diseases, Injuries, and Risk Factors study (GBD) 2019. BACKGROUND: To describe burden, and to explore cross-country inequalities according to socio-demographic index (SDI) for stroke and subtypes attributable to diet. METHODS: Death and years lived with disability (YLDs) data and corresponding estimated annual percentage changes (EAPCs) were estimated by year, age, gender, location and SDI. Pearson correlation analysis was performed to evaluate the connections between age-standardized rates (ASRs) of death, YLDs, their EAPCs and SDI. We used ARIMA model to predict the trend. Slope index of inequality (SII) and relative concentration index (RCI) were utilized to quantify the distributive inequalities in the burden of stroke. RESULTS: A total of 1.74 million deaths (56.17% male) and 5.52 million YLDs (55.27% female) attributable to diet were included in the analysis in 2019.Between 1990 and 2019, the number of global stroke deaths and YLDs related to poor diet increased by 25.96% and 74.76% while ASRs for death and YLDs decreased by 42.29% and 11.34% respectively. The disease burden generally increased with age. The trends varied among stroke subtypes, with ischemic stroke (IS) being the primary cause of YLDs and intracerebral hemorrhage (ICH) being the leading cause of death. Mortality is inversely proportional to SDI (R = -0.45, p < 0.001). In terms of YLDs, countries with different SDIs exhibited no significant difference (p = 0.15), but the SII changed from 38.35 in 1990 to 45.18 in 2019 and the RCI showed 18.27 in 1990 and 24.98 in 2019 for stroke. The highest ASRs for death and YLDs appeared in Mongolia and Vanuatu while the lowest of them appeared in Israel and Belize, respectively. High sodium diets, high red meat consumption, and low fruit diets were the top three contributors to stroke YLDs in 2019. DISCUSSION: The burden of diet-related stroke and subtypes varied significantly concerning year, age, gender, location and SDI. Countries with higher SDIs exhibited a disproportionately greater burden of stroke and its subtypes in terms of YLDs, and these disparities were found to intensify over time. To reduce disease burden, it is critical to enforce improved dietary practices, with a special emphasis on mortality drop in lower SDI countries and incidence decline in higher SDI countries.

The Prevalence and Pattern of Admission Mortality among Acute Stroke Patients Managed at a Tertiary Hospital in Abakaliki, Nigeria: A Retrospective Study.

BACKGROUND: Stroke ranks as the second leading cause of mortality worldwide, following ischemic heart disease, and is expected to maintain this position through 2030. This neurological ailment is profoundly impactful, imposing a significant burden on health and the economy. In 2019 alone, it was responsible for 6.6 million fatalities and the loss of 143 million disability-adjusted life years (DALYs) across the globe. OBJECTIVES: This study highlighted the prevalence and pattern of admission mortality among acute stroke patients managed over 9 years in a private tertiary hospital in Abakaliki, Nigeria. METHODOLOGY: This was a retrospective hospital-based study conducted at a tertiary hospital in Abakaliki, Nigeria from January 2014 to December 2022. Relevant data were extracted from the patients' case notes and the sociodemographic, clinical and laboratory parameters of acute stroke survivors were compared with those of their dead counterparts. RESULTS: Out of the 172 (males - 57%; females - 43%) patients that fulfilled the inclusion criteria, 53 (30.81%) had haemorrhagic stroke while 119 (69.19%) had ischaemic stroke. The overall admission mortality rate was 15.12%, and it was more common in patients with haemorrhagic stroke, advancing age, severe hypertension, severe stroke, impairment of consciousness, renal dysfunction, hypernatremia, neutrophilic leucocytosis, and short admission duration. CONCLUSIONS: High mortality rates are linked to acute stroke admissions, particularly in cases involving haemorrhagic stroke, increasing age, severe hypertension, substantial stroke severity, impaired consciousness, renal dysfunction, hypernatremia, neutrophilic leukocytosis, and brief admission duration.

CONTEXTE: L'accident vasculaire cérébral (AVC) est la deuxième cause de mortalité dans le monde, après la cardiopathie ischémique, et devrait conserver cette position jusqu'en 2030. Cette affection neurologique a un impact profond, imposant une charge significative sur la santé et l'économie. En 2019 seulement, elle a été responsable de 6,6 millions de décès et de la perte de 143 millions d'années de vie ajustées sur l'incapacité (DALYs) dans le monde. OBJECTIFS: Cette étude a mis en évidence la prévalence et le modèle de la mortalité à l'admission chez les patients victimes d'AVC aigu gérés pendant 9 ans dans un hôpital privé tertiaire à Abakaliki, Nigéria. MÉTHODOLOGIE: Il s'agissait d'une étude rétrospective en milieu hospitalier menée dans un hôpital tertiaire à Abakaliki, Nigéria, de janvier 2014 à décembre 2022. Les données pertinentes ont été extraites des dossiers des patients et les paramètres sociodémographiques, cliniques et de laboratoire des survivants d'un AVC aigu ont été comparés à ceux de leurs homologues décédés. RÉSULTATS: Parmi les 172 patients (hommes - 57 % ; femmes - 43 %) qui remplissaient les critères d'inclusion, 53 (30,81 %) avaient un AVC hémorragique tandis que 119 (69,19 %) avaient un AVC ischémique. Le taux global de mortalité à l'admission était de 15,12 % et était plus fréquent chez les patients ayant un AVC hémorragique, un âge avancé, une hypertension sévère, un AVC sévère, une altération de la conscience, une dysfoncti on rénal e, une hyper natrémie, une l eucocytose neutrophilique et une courte durée d'admission. CONCLUSIONS: Les taux de mortalité élevés sont liés aux admissions pour AVC aigu, en particulier dans les cas d'AVC hémorragique, d'âge avancé, d'hypertension sévère, de sévérité importante de l'AVC, d'altération de la conscience, de dysfonction rénale, d'hypernatrémie, de leucocytose neutrophilique et de courte durée d'admission. MOTS-CLÉS: Facteurs de risque, Mortalité à l'admission, AVC aigu, Étude rétrospective.

Effect modification by statin use status on the association between fine particulate matter (PM2.5) and cardiovascular mortality.

BACKGROUND: Numerous studies have linked fine particulate matter (PM2.5) to increased cardiovascular mortality. Less is known how the PM2.5-cardiovascular mortality association varies by use of cardiovascular medications. This study sought to quantify effect modification by statin use status on the associations between long-term exposure to PM2.5 and mortality from any cardiovascular cause, coronary heart disease (CHD), and stroke. METHODS: In this nested case-control study, we followed 1.2 million community-dwelling adults aged ≥66 years who lived in Ontario, Canada from 2000 through 2018. Cases were patients who died from the three causes. Each case was individually matched to up to 30 randomly selected controls using incidence density sampling. Conditional logistic regression models were used to estimate odds ratios (ORs) for the associations between PM2.5 and mortality. We evaluated the presence of effect modification considering both multiplicative (ratio of ORs) and additive scales (the relative excess risk due to interaction, RERI). RESULTS: Exposure to PM2.5 increased the risks for cardiovascular, CHD, and stroke mortality. For all three causes of death, compared with statin users, stronger PM2.5-mortality associations were observed among non-users [e.g. for cardiovascular mortality corresponding to each interquartile range increase in PM2.5, OR = 1.042 (95% CI, 1.032-1.053) vs OR = 1.009 (95% CI, 0.996-1.022) in users, ratio of ORs = 1.033 (95% CI, 1.019-1.047), RERI = 0.039 (95% CI, 0.025-0.050)]. Among users, partially adherent users exhibited a higher risk of PM2.5-associated mortality than fully adherent users. CONCLUSIONS: The associations of chronic exposure to PM2.5 with cardiovascular and CHD mortality were stronger among statin non-users compared to users.

The predictive value of cumulative atherogenic index of plasma (AIP) for cardiovascular outcomes: a prospective community-based cohort study.

BACKGROUND: Atherogenic index of plasma (AIP) has been reported as a critical predictor on the risks and clinical outcomes of cardiovascular diseases (CVDs), and we aimed to explore the potential predictive value of cumulative AIP on major adverse cardiac events (MACE), stroke, myocardial infarction (MI) and cardiovascular mortality. METHODS: A large-scale community-based prospective cohort was established from December 2011 to April 2012 and followed up in May to July 2014. The endpoint outcomes were obtained before December 31, 2021. AIP was calculated as the logarithmically transformed ratio of triglyceride (TG) to high-density lipoprotein cholesterol (HDL-c) and cumulative AIP was the average value of AIP in 2012 and 2014. RESULTS: An overall of 3820 participants (36.1% male) with mean (SD) age of 59.1 (8.7) years, were enrolled. Within a median follow-up of 7.5 years, a total of 371 (9.7%) participants were documented with MACE, 293 (7.7%) participants developed stroke, 68 (1.8%) suffered from MI and 65 (1.7%) experienced cardiovascular mortality. Multivariable Cox regression analysis revealed significant associations between cumulative AIP and the risk of MACE, stroke and MI. Regarding MACE, individuals with one higher unit of cumulative AIP were associated with 75% increment on the incidence of going through MACE in fully adjusted model, while categorizing participants into four groups, individuals in the highest cumulative AIP quartile were significantly associated with increased incidence of MACE (HR = 1.76, 95%CI: 1.27-2.44, p < 0.001 in fully adjusted model), stroke (HR = 1.69, 95%CI: 1.17-2.45, p = 0.005) and MI (HR = 2.82, 95%CI: 1.18-6.72, p = 0.019). But not a significant association was observed between cumulative AIP and cardiovascular mortality. In subgroup analysis, the association of cumulative AIP and the incidence of stroke was more pronounced in the elderly (HR: 0.89 vs. 2.41 for the age groups < 65 years and ≥ 65 years, p for interaction = 0.018). CONCLUSIONS: A higher cumulative AIP was significantly associated with an increased risk of MACE, stroke and MI independent of traditional cardiovascular risk factors in a community-based population, and the association of cumulative AIP and stroke was particularly pronounced in the elderly population.

Burden and determinants of renal dysfunction and in-hospital mortality among acute stroke patients in Ethiopia: A hospital-based observational study.

Stroke, a leading global cause of mortality and neurological impairment, is often complicated by renal failure, exacerbating in-hospital risks and mortality. Limited understanding exists regarding renal failure prevalence in Ethiopian acute stroke patients. This study examines renal function abnormalities in acute stroke patients at Jimma Medical Center (JMC). A hospital-based cross-sectional study was conducted at JMC from December 5, 2023, to March 15, 2024. A structured data collection tool was developed after comprehensive review of pertinent literature, encompassing variables pertinent to the study objectives. Following data quality assurance, information was coded and inputted into EpiData version 3.1, subsequently analyzed using Statistical Package for Social Sciences (SPSS) version 26.0. Multivariable logistic regression analysis was performed to adjust for confounding variables, with statistical significance set at P < .05. The mean age of participants was 60.5 ±â€…15.5 years, with 129 (64.5%) being male. Forty-five participants (22.5%, 95% confidence interval [CI] = 16.9, 28.9) exhibited renal dysfunction. Advanced age (≥70 years), hypertension, diabetes mellitus (DM), cardiac disease, history of transient ischemic attack (TIA)/stroke, and hemorrhagic stroke type were identified as significant predictors of renal dysfunction among hospitalized stroke patients. The mortality rate was 3.7 times higher in stroke patients with renal dysfunction compared to those with normal renal function (adjusted odds ratio [AOR] = 3.7, 95% CI: 1.41, 6.22). Renal function abnormalities were prevalent among hospitalized acute stroke patients, emphasizing the significance of renal dysfunction as a frequent comorbidity. Older age, hypertension, DM, cardiac disease, history of TIA/stroke, and hemorrhagic stroke type emerged as statistically significant predictors of renal dysfunction. Furthermore, renal dysfunction was identified as a significant predictor of in-hospital mortality following stroke.

Causes of death in patients with atrial fibrillation anticoagulated with rivaroxaban: a pooled analysis of XANTUS.

AIMS: Anticoagulation can prevent stroke and prolong lives in patients with atrial fibrillation (AF). However, anticoagulated patients with AF remain at risk of death. The aim of this study was to investigate the causes of death and factors associated with all-cause and cardiovascular death in the XANTUS population. METHODS AND RESULTS: Causes of death occurring within a year after rivaroxaban initiation in patients in the XANTUS programme studies were adjudicated by a central adjudication committee and classified following international guidance. Baseline characteristics associated with all-cause or cardiovascular death were identified. Of 11 040 patients, 187 (1.7%) died. Almost half of these deaths were due to cardiovascular causes other than bleeding (n = 82, 43.9%), particularly heart failure (n = 38, 20.3%) and sudden or unwitnessed death (n = 24, 12.8%). Fatal stroke (n = 8, 4.3%), which was classified as a type of cardiovascular death, and fatal bleeding (n = 17, 9.1%) were less common causes of death. Independent factors associated with all-cause or cardiovascular death included age, AF type, body mass index, left ventricular ejection fraction, hospitalization at baseline, rivaroxaban dose, and anaemia. CONCLUSION: The overall risk of death due to stroke or bleeding was low in XANTUS. Anticoagulated patients with AF remain at risk of death due to heart failure and sudden death. Potential interventions to reduce cardiovascular deaths in anticoagulated patients with AF require further investigation, e.g. early rhythm control therapy and AF ablation. TRIAL REGISTRATION NUMBERS: NCT01606995, NCT01750788, NCT01800006.

Clinical service organisation for adults with atrial fibrillation.

BACKGROUND: Atrial fibrillation (AF) is an increasingly prevalent heart rhythm condition in adults. It is considered a common cardiovascular condition with complex clinical management. The increasing prevalence and complexity in management underpin the need to adapt and innovate in the delivery of care for people living with AF. There is a need to systematically examine the optimal way in which clinical services are organised to deliver evidence-based care for people with AF. Recommended approaches include collaborative, organised multidisciplinary, and virtual (or eHealth/mHealth) models of care. OBJECTIVES: To assess the effects of clinical service organisation for AF versus usual care for people with all types of AF. SEARCH METHODS: We searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, and CINAHL to October 2022. We also searched ClinicalTrials.gov and the WHO ICTRP to April 2023. We applied no restrictions on date, publication status, or language. SELECTION CRITERIA: We included randomised controlled trials (RCTs), published as full texts and as abstract only, involving adults (≥ 18 years) with a diagnosis of any type of AF. We included RCTs comparing organised clinical service, disease-specific management interventions (including e-health models of care) for people with AF that were multicomponent and multidisciplinary in nature to usual care. DATA COLLECTION AND ANALYSIS: Three review authors independently selected studies, assessed risk of bias, and extracted data from the included studies. We calculated risk ratio (RR) for dichotomous data and mean difference (MD) or standardised mean difference (SMD) for continuous data with 95% confidence intervals (CIs) using random-effects analyses. We then calculated the number needed to treat for an additional beneficial outcome (NNTB) using the RR. We performed sensitivity analyses by only including studies with a low risk of selection and attrition bias. We assessed heterogeneity using the I² statistic and the certainty of the evidence according to GRADE. The primary outcomes were all-cause mortality and all-cause hospitalisation. The secondary outcomes were cardiovascular mortality, cardiovascular hospitalisation, AF-related emergency department visits, thromboembolic complications, minor cerebrovascular bleeding events, major cerebrovascular bleeding events, all bleeding events, AF-related quality of life, AF symptom burden, cost of intervention, and length of hospital stay. MAIN RESULTS: We included 8 studies (8205 participants) of collaborative, multidisciplinary care, or virtual care for people with AF. The average age of participants ranged from 60 to 73 years. The studies were conducted in China, the Netherlands, and Australia. The included studies involved either a nurse-led multidisciplinary approach (n = 4) or management using mHealth (n = 2) compared to usual care. Only six out of the eight included studies could be included in the meta-analysis (for all-cause mortality and all-cause hospitalisation, cardiovascular mortality, cardiovascular hospitalisation, thromboembolic complications, and major bleeding), as quality of life was not assessed using a validated outcome measure specific for AF. We assessed the overall risk of bias as high, as all studies had at least one domain at unclear or high risk of bias rating for performance bias (blinding) in particular. Organised AF clinical services probably result in a large reduction in all-cause mortality (RR 0.64, 95% CI 0.46 to 0.89; 5 studies, 4664 participants; moderate certainty evidence; 6-year NNTB 37) compared to usual care. However, organised AF clinical services probably make little to no difference to all-cause hospitalisation (RR 0.94, 95% CI 0.88 to 1.02; 2 studies, 1340 participants; moderate certainty evidence; 2-year NNTB 101) and may not reduce cardiovascular mortality (RR 0.64, 95% CI 0.35 to 1.19; 5 studies, 4564 participants; low certainty evidence; 6-year NNTB 86) compared to usual care. Organised AF clinical services reduce cardiovascular hospitalisation (RR 0.83, 95% CI 0.71 to 0.96; 3 studies, 3641 participants; high certainty evidence; 6-year NNTB 28) compared to usual care. Organised AF clinical services may have little to no effect on thromboembolic complications such as stroke (RR 1.14, 95% CI 0.74 to 1.77; 5 studies, 4653 participants; low certainty evidence; 6-year NNTB 588) and major cerebrovascular bleeding events (RR 1.25, 95% CI 0.79 to 1.97; 3 studies, 2964 participants; low certainty evidence; 6-year NNTB 556). None of the studies reported minor cerebrovascular events. AUTHORS' CONCLUSIONS: Moderate certainty evidence shows that organisation of clinical services for AF likely results in a large reduction in all-cause mortality, but probably makes little to no difference to all-cause hospitalisation compared to usual care. Organised AF clinical services may not reduce cardiovascular mortality, but do reduce cardiovascular hospitalisation compared to usual care. However, organised AF clinical services may make little to no difference to thromboembolic complications and major cerebrovascular events. None of the studies reported minor cerebrovascular events. Due to the limited number of studies, more research is required to compare different models of care organisation, including utilisation of mHealth. Appropriately powered trials are needed to confirm these findings and robustly examine the effect on inconclusive outcomes. The findings of this review underscore the importance of the co-ordination of care underpinned by collaborative multidisciplinary approaches and augmented by virtual care.

Bacterial stroke-associated pneumonia: microbiological analysis and mortality outcome.

BACKGROUND: Stroke-associated pneumonia (SAP) considerably burden healthcare systems. This study aimed to identify predictors of developing SAP in acute ischemic stroke patients admitted to the Stroke Unit at Manial Specialized Hospital factors with microbiological causality and impact on 30-day mortality. METHODS: This was a retrospective cohort study. All patients with acute ischemic stroke admitted to the Stroke Unit at Manial Specialized Hospital (from February 2021 to August 2023) were divided into the SAP and non-SAP groups. Detailed clinical characteristics and microbiological results were recorded. RESULTS: Five hundred twenty-two patients diagnosed with acute ischemic stroke (mean age of 55 ± 10) were included. One hundred sixty-nine (32.4%) of stroke patients developed SAP; Klebsiella pneumoniae was the most commonly detected pathogen (40.2%), followed by Pseudomonas aeruginosa (20.7%). Bacteremia was identified in nine cases (5.3%). The number of deaths was 11, all of whom were diagnosed with SAP, whereas none from the non-SAP group died (P < 0.001). The binary logistic regression model identified three independent predictors of the occurrence of SAP: previous history of TIA/stroke (OR = 3.014, 95%CI = 1.281-7.092), mechanical ventilation (OR = 4.883, 95%CI = 1.544-15.436), and bulbar dysfunction (OR = 200.460, 95%CI = 80.831-497.143). CONCLUSIONS: Stroke-associated pneumonia was reported in one-third of patients with acute ischemic stroke, adversely affecting mortality outcomes. Findings showed that the main predictors of SAP were bulbar dysfunction, the use of mechanical ventilation and previous history of TIA/stroke. More attention to these vulnerable patients is necessary to reduce mortality.

Incidence and predictors of 2-year mortality following percutaneous left atrial appendage occlusion in the EWOLUTION trial.

AIMS: Sufficient survival time following left atrial appendage occlusion (LAAO) is essential for ensuring the efficacy and cost-effectiveness of this strategy for stroke prevention. Understanding prognostic factors for early mortality after LAAO could optimize patient selection. In the current study, we perform an in-depth analysis of 2-year mortality after LAAO, focusing particularly on potential predictors. METHODS AND RESULTS: The EWOLUTION registry is a real-world cohort comprising 1020 patients that underwent LAAO. Endpoint definitions were pre-specified, and death was categorized as cardiovascular, non-cardiovascular, or unknown origin. Mortality rates were calculated from Kaplan-Meier estimates. Baseline characteristics significantly associated with death in univariate Cox regression analysis were incorporated into the multivariate analysis. All multivariate predictors were included in a risk model. Two-year mortality rate was 16.4% [confidence interval (CI): 14.0-18.7%], with 50% of patients dying from a non-cardiovascular cause. Multivariate baseline predictors of 2-year mortality included age [hazard ratio (HR) 1.05, CI: 1.03-1.08, per year increase], heart failure (HR 1.73, CI: 1.24-2.41), vascular disease (HR 1.47, CI: 1.05-2.05), valvular disease (HR 1.63, CI: 1.15-2.33), abnormal liver function (HR 1.80, CI: 1.02-3.17), and abnormal renal function (HR 1.58, CI: 1.10-2.27). Mortality rate exhibited a gradual rise as the number of risk factors increased, reaching 46.1% in patients presenting with five or six risk factors. CONCLUSION: One in six patients died within 2 years after LAAO. We identified six independent predictors of mortality. When combined, this model showed a gradual increase in mortality rate with a growing number of risk factors, which may guide appropriate patient selection for LAAO. CLINICAL TRIAL REGISTRATION: The original EWOLUTION registry was registered at clinicaltrials.gov under identifier NCT01972282.

Geographic access to cardiac rehabilitation and cardiovascular disease outcomes: A study of rural United States counties.

Prior studies have examined rural-urban disparities in access to cardiac rehabilitation (CR). However, few have examined the relationship between disparate access to CR and cardiovascular disease outcomes in rural areas. In this analysis of 1975 nonmetro United States counties, we investigated the relationship between number of hospitals with CR and Medicare-population hospitalization rates (per 1000 adults ≥65 years) and county-population mortality rates (per 100,000 adults ≥18 years) due to coronary heart disease (CHD), heart failure (HF), or stroke, using multivariable linear-regression-modeling adjusting for socio-demographic and comorbid conditions. Median CHD hospitalization (13.0 vs. 12.2), HF hospitalization (16.1 vs. 13.3), HF death (114.2 vs. 110.9), stroke hospitalization (12.0 vs. 10.9), and stroke death (39.6 vs. 37.1) rates were higher in nonmetro counties without versus with a CR facility (p-values< 0.001). There were inverse correlations between number of hospitals with CR and CHD (r= -0.161), HF (r= -0.261) and stroke (r= -0.237) hospitalization rates, and stroke mortality (r= -0.144) rates (p-values< 0.001). After adjustment, as the number of hospitals with CR increased, there were decreases in hospitalization rates of 1.78 for CHD, 7.20 for HF, and 2.43 for stroke, per 1000 in the population (p-values < 0.001) and decreases in stroke deaths of 9.17 per 100,000 in the population (p= 0.02). Access to hospitals with CR in US nonmetro counties is inversely related to CHD, HF, and stroke hospitalization, and stroke mortality. Our findings call for reducing barriers to CR in nonmetro communities and further exploring the relationship between CR and stroke outcomes.

Disease burden of stroke and its subtypes attributable to low dietary fiber in China, 1990-2019.

This study aimed to assess the current status and changing trends of the disease burden of stroke and its subtypes due to low dietary fiber intake in China from 1990 to 2019. In cases of stroke and its subtypes attributable to low dietary fiber, deaths, disability-adjusted life-years (DALYs), age-standardized mortality rates (ASMR), age-standardized DALYs rates (ASDR), and percentage change were used to assess disease burden. Data were obtained from the 2019 global burden of disease study. Trends were assessed using Joinpoint regression and age-period-cohort analysis. Between 1990 and 2019, there was a declining trend in stroke and its subtypes, ASDR and ASMR, as well as the corresponding number of deaths and DALYs, due to low dietary fiber intake in China. Subarachnoid hemorrhage (SH) showed the greatest decrease, followed by intracerebral hemorrhage (IH) and ischemic stroke (IS). Local drift curves showed a U-shaped distribution of stroke, IS, and IH DALYs across the whole group and sex-based groups. For mortality, the overall and male trends were similar to those for DALYs, whereas female stroke, IH, and IS showed an upward trend. The DALYs for stroke and IH showed a clear bimodal distribution, IS showed an increasing risk with age. For mortality, the SH subtype showed a decreasing trend, whereas other subtypes showed an increasing risk with age. Both the period and cohort rates of stroke DALYs and motality due to low dietary fiber have declined. Males had a higher risk of DALYs and mortality associated with low fiber levels. The burden of stroke and its subtypes associated with a low-fiber diet in China has been declining over the past 30 years, with different patterns of change for different stroke subtypes and a higher burden for males, highlighting the differential impact of fiber intake on stroke and its subtypes.

Fenofibrate's impact on cardiovascular risk in patients with diabetes: a nationwide propensity-score matched cohort study.

BACKGROUND: The beneficial effects of fenofibrate on atherosclerotic cardiovascular disease (ASCVD) outcomes in patients with diabetes and statin treatment are unclear. We investigated the effects of fenofibrate on all-cause mortality and ASCVD in patients with diabetes, high triglyceride (TG) levels and statin treatment. METHODS: We performed a nationwide propensity-score matched (1:1) cohort study using data from the National Health Information Database in the Republic of Korea from 2010 to 2017. The study included 110,723 individuals with diabetes, TG levels ≥ 150 mg/dL, and no prior diagnoses of ASCVD who used statins and fenofibrate, and an equal matched number of similar patients who used statins alone (control group). The study outcomes included newly diagnosed myocardial infarction (MI), stroke, both (MI and/or stroke), and all-cause mortality. RESULTS: Over a mean 4.03-year follow-up period, the hazard ratios (HR) for outcomes in the fenofibrate group in comparison to the control group were 0.878 [95% confidence interval (CI) 0.827-0.933] for MI, 0.901 (95% CI 0.848-0.957) for stroke, 0.897 (95% CI 0.858-0.937) for MI and/or stroke, and 0.716 (95% CI 0.685-0.749) for all-cause death. These beneficial effects of fenofibrate were consistent in the subgroup with TG 150-199 mg/dL but differed according to low-density lipoprotein cholesterol (LDL-C) levels. CONCLUSION: In this nationwide propensity-score matched cohort study involving individuals with diabetes and TG ≥ 150 mg/dL, the risk of all-cause death and ASCVD was significantly lower with fenofibrate use in conjunction with statin treatment compared to statin treatment alone. However, this finding was significant only in individuals with relatively high LDL-C levels.

Global burden of stroke in adolescents and young adults (aged 15-39 years) from 1990 to 2019: a comprehensive trend analysis based on the global burden of disease study 2019.

INTRODUCTION: The incidence of stroke is rising among individuals aged 15-39. Insufficient research targeting this age group hampers the development of effective strategies. This study analyzes data from the Global Burden of Disease Study 2019 (GBD 2019) to examine trends from 1990 to 2019 and propose future interventions. METHODS: Data on ischemic strokes, intracerebral hemorrhage, and subarachnoid hemorrhage from 1990 to 2019 was collected from the Global Health Data Exchange (GHDx) platform. We used the Annual Average Percentage Change (AAPC) to assess global trends in incidence, prevalence, Disability-Adjusted Life Years (DALYs), and mortality rates across various stroke categories. Joinpoint models identified significant years of trend inflection. Trend analyses were segmented by age, gender, and Sociodemographic Index (SDI). FINDINGS: From 1990 to 2019, the global incidence of ischemic stroke within the adolescents and young adults (AYAs) cohort declined from 1990 to 1999, further decreased from 2000 to 2009, and then increased from 2010 to 2019. The overall AAPC p-value showed no significant difference. Mortality rates for ischemic strokes were consistently reduced during this period. The overall incidence rate of intracerebral hemorrhage has exhibited a downward trend. Meanwhile, the incidence rate of subarachnoid hemorrhage decreased from 1990 to 2009, yet saw a resurgence from 2010 to 2019. Male ischemic stroke incidence grew more than female incidence, but both absolute incidence and rates were higher for females. Differences in SDI levels were observed, with the fastest increase in incidence occurring in low-middle SDI regions, followed by high SDI regions, and the smallest increase in low SDI regions. Conversely, the most rapid decline was noted in high-middle SDI regions, with no significant change observed in middle SDI regions. CONCLUSION: A concerning trend of increasing ischemic stroke incidence, DALYs, and prevalence rates has emerged in the global 15-39 age group, especially among those aged 30-39. This increase is evident across regions with varying SDI classifications. To combat this alarming trend among adolescents and young adults, enhancing preventive efforts, promoting healthier lifestyles, strengthening the healthcare system's responsiveness, and maintaining vigilant epidemiological monitoring is essential.

Long-Term Mortality, Recovery, and Vocational Status After a Maternal Stroke: Register-Based Observational Case-Control Study.

BACKGROUND AND OBJECTIVES: Maternal stroke is a rare event with an increasing incidence. Data on the long-term prognosis after a maternal stroke are limited. We aimed to examine long-term mortality, recovery, vocational status and morbidity after a maternal stroke in a population-based setting including a comparison with matched, stroke-free controls. METHODS: In this register-based study with hospital chart validation, we included all women with a maternal stroke in Finland in 1987-2016 who survived the first year after the event. The recovery of the cases was assessed from the hospital charts by modified Rankin scale (mRS). Three controls matched by delivery year, age, and parity were selected for each case. All deaths until 2022 were identified from the Register for Causes of Death. Data on vocational status were obtained from Statistics Finland and morbidity from the Hospital Discharge Register and patient charts until year 2016. RESULTS: The study included 235 women with a maternal stroke and 694 matched controls. The median follow-up time was 17.5 years (interquartile range [IQR] 9.6-25.4) for mortality and 11.8 years (IQR 3.8-19.8) for vocational status and subsequent morbidity. Mortality among cases was 5.5% and among controls, 2.4% (age-adjusted odds ratio [OR] 2.3, 95% [CI] 1.1-4.9). At the end of the follow-up, 90.3% of the cases were independent in daily activities (mRS ≤2). In 2016, fewer women with a maternal stroke were working compared with controls (65.9% vs 79.1%, OR 0.5, 95% CI 0.4-0.7) and were more often receiving a pension (18.2% vs 4.9%, OR 4.4, 95% CI 2.7-7.3). Cerebrovascular events (age-adjusted OR 8.6 95% CI 4.4-17.1), cardiac diseases (age-adjusted OR 3.3, 95% CI 1.4-7.7), and major cardiovascular events were more common among cases during the follow-up (age-adjusted OR 7.6 95% CI 3.1-18.7). DISCUSSION: Despite having higher overall mortality and higher cardiovascular morbidity, the majority of the maternal stroke survivors recovered well. As expected, the vocational status of cases was inferior to that of controls, but most women were working at the end of the follow-up. Our study provides important information on the prognosis and sequalae after a maternal stroke to help in patient counseling and to improve secondary prevention.

A systematic evaluation of seven different scores representing the EAT-Lancet reference diet and mortality, stroke, and greenhouse gas emissions in three cohorts.

Different approaches have been used for translation of the EAT-Lancet reference diet into dietary scores that can be used to assess health and environmental impact. Our aim was to compare the different EAT-Lancet diet scores, and to estimate their associations with all-cause mortality, stroke incidence, and greenhouse gas emissions. We did a systematic review (PROSPERO, CRD42021286597) to identify different scores representing adherence to the EAT-Lancet reference diet. We then qualitatively compared the diet adherence scores, including their ability to group individuals according the EAT-Lancet reference diet recommendations, and quantitatively assessed the associations of the diet scores with health and environmental outcome data in three diverse cohorts: the Danish Diet, Cancer and Health Cohort (DCH; n=52 452), the Swedish Malmö Diet and Cancer Cohort (MDC; n=20 973), and the Mexican Teachers' Cohort (MTC; n=30 151). The DCH and MTC used food frequency questionnaires and the MDC used a modified diet history method to assess dietary intake, which we used to compute EAT-Lancet diet scores and evaluate the associations of scores with hazard of all-cause mortality and stroke. In the MDC, dietary greenhouse gas emission values were summarised for every participant, which we used to predict greenhouse gas emissions associated with varying diet adherence scores on each scoring system. In our review, seven diet scores were identified (Knuppel et al, 2019; Trijsburg et al, 2020; Cacau et al, 2021; Hanley-Cook et al, 2021; Kesse-Guyot et al, 2021; Stubbendorff et al, 2022; and Colizzi et al, 2023). Two of the seven scores (Stubbendorff and Colizzi) were among the most consistent in grouping participants according to the EAT-Lancet reference diet recommendations across cohorts, and higher scores (greater diet adherence) were associated with decreased risk of mortality (in the DCH and MDC), decreased risk of incident stroke (in the DCH and MDC for the Stubbendorff score; and in the DCH for the Colizzi score), and decreased predicted greenhouse gas emissions in the MDC. We conclude that the seven different scores representing the EAT-Lancet reference diet had differences in construction, interpretation, and relation to disease and climate-related outcomes. Two scores generally performed well in our evaluation. Future studies should carefully consider which diet score to use and preferably use multiple scores to assess the robustness of estimations, given that public health and environmental policy rely on these estimates.

A novel higher performance nomogram based on explainable machine learning for predicting mortality risk in stroke patients within 30 days based on clinical features on the first day ICU admission.

BACKGROUND: This study aimed to develop a higher performance nomogram based on explainable machine learning methods, and to predict the risk of death of stroke patients within 30 days based on clinical characteristics on the first day of intensive care units (ICU) admission. METHODS: Data relating to stroke patients were extracted from the Medical Information Marketplace of the Intensive Care (MIMIC) IV and III database. The LightGBM machine learning approach together with Shapely additive explanations (termed as explain machine learning, EML) was used to select clinical features and define cut-off points for the selected features. These selected features and cut-off points were then evaluated using the Cox proportional hazards regression model and Kaplan-Meier survival curves. Finally, logistic regression-based nomograms for predicting 30-day mortality of stroke patients were constructed using original variables and variables dichotomized by cut-off points, respectively. The performance of two nomograms were evaluated in overall and individual dimension. RESULTS: A total of 2982 stroke patients and 64 clinical features were included, and the 30-day mortality rate was 23.6% in the MIMIC-IV datasets. 10 variables ("sofa (sepsis-related organ failure assessment)", "minimum glucose", "maximum sodium", "age", "mean spo2 (blood oxygen saturation)", "maximum temperature", "maximum heart rate", "minimum bun (blood urea nitrogen)", "minimum wbc (white blood cells)" and "charlson comorbidity index") and respective cut-off points were defined from the EML. In the Cox proportional hazards regression model (Cox regression) and Kaplan-Meier survival curves, after grouping stroke patients according to the cut-off point of each variable, patients belonging to the high-risk subgroup were associated with higher 30-day mortality than those in the low-risk subgroup. The evaluation of nomograms found that the EML-based nomogram not only outperformed the conventional nomogram in NIR (net reclassification index), brier score and clinical net benefits in overall dimension, but also significant improved in individual dimension especially for low "maximum temperature" patients. CONCLUSIONS: The 10 selected first-day ICU admission clinical features require greater attention for stroke patients. And the nomogram based on explainable machine learning will have greater clinical application.