Heart Failure in Acute Ischemic Stroke

Heart failure (HF) is a complex clinical syndrome that can result from any structural or functional cardiac disorder that impairs the ability of the ventricle to fill with or eject blood. Due to the aging of the population it has become a growing public health problem in recent decades. Diagnosis of HF is clinical and there is no diagnostic test, although some basic complementary testing should be performed in all patients. Depending on the ejection fraction (EF), the syndrome is classified as HF with low EF or HF with normal EF (HFNEF). Although prognosis in HF is poor, HFNEF seems to be more benign. HF and ischemic stroke (IS) share vascular risk factors such as age, hypertension, diabetes mellitus, coronary artery disease and atrial fibrillation. Persons with HF have higher incidence of IS, varying from 1.7% to 10.4% per year across various cohort studies. The stroke rate increases with length of follow-up. Reduced EF, independent of severity, is associated with higher risk of stroke. Left ventricular mass and geometry are also related with stroke incidence, with concentric hypertrophy carrying the greatest risk

Tractament de la migranya en adults: de la crisi a la profilaxi

Tractament; Migranya; Profilaxi;Treatment; Migraine; ProphylaxisTratamiento; Migraña; ProfilaxisLa migranya és una cefalea primària incapacitant que es manifesta amb crisis de 4-72 hores de durada amb localització unilateral, caràcter pulsatiu, intensitat moderada o greu, empitjorament amb l’activitat física rutinària i associació amb nàusees i/o fotofòbia i fonofòbia. En funció de la freqüència de les crisis, es classifica en migranya episòdica o migranya crònica. Té una prevalença del 12,6% entre els adults, afecta el doble de dones que d’homes i disminueix amb l’edat. El tractament de la migranya es fonamenta en el control dels factors desencadenants i dels relacionats amb la cronificació, en el tractament simptomàtic de les crisis i en el tractament preventiu. El tractament simptomàtic s’ha de prescriure a tots els pacients, mentre que el preventiu es reserva per als més greus. Els medicaments que es fan servir per al tractament de la cefalea són el paracetamol, els antiinflamatoris no esteroidals (AINE) i els agonistes del receptor 5-HT1B/1D o triptans. D’altra banda, per al tractament preventiu hi ha disponibles medicaments orals (blocadors adrenèrgics beta, antiepilèptics, blocadors dels canals de calci, antidepressius tricíclics), la toxina botulínica A i els anticossos monoclonals antivia del pèptid relacionat amb el gen de la calcitonina (CGRP)

High prevalence of non-alcoholic fatty liver disease in patients with a first episode of acute ischemic stroke. Impact on disability and death

IntroductionNon-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease, and it is associated with an increased risk of overall mortality being cardiovascular disease the most common cause of mortality. Strategies are needed to identify high risk groups for NAFLD to improve screening approaches. Moreover, there is a lack of information about the prevalence of NAFLD on patients with acute ischemic stroke (AIS) and the influence of NAFLD on the prognosis of the stroke. The aim of the study was to define the prevalence of NAFLD in patients with a first episode of AIS and the secondary aims were to evaluate the prevalence of NAFLD at different ages and its impact on the severity and prognosis of the AIS.Materials and methodsObservational study including consecutive patients admitted for the first AIS from January 2005 to May 2018. Patients with harmful alcohol intake, other liver diseases and malignancies were excluded. Sociodemographic data, cardiovascular risk factors, comorbidities, and blood test at admission were reviewed. NAFLD and liver fibrosis were assessed with the serological scores Fatty Liver Index (FLI) and Fibrosis-4 respectively. NAFLD was defined by a FLI>60. Stroke severity and prognosis were evaluated with the National Institute of Health Stroke Scale and modified Rankin Scale respectively in patients aged from 40 to 79 years old.ResultsWe included 1601 patients, 52.4% were female and median (IQR) age of 77 (66 – 83) years. The 41% of the total cohort had a FLI>60 with different prevalence according to age in decades: in 30-39 years: 35.7%; in 40-49: 47.5%; in 50-59: 51.1%, in 60-69: 56%, in 70-79: 41.4%; in 80-89: 34.9% (p<0.001). The presence of NAFLD did not impact on the severity or the prognosis of stroke. However, patients with NAFLD were younger than those without NAFLD (74 vs. 78; p<0.001).ConclusionPresence of NAFLD did not impact on disability and death after the stroke. However, patients with a first episode of stroke showed a high prevalence of NAFLD, especially at intermediate ages, and therefore, screening for NAFLD should be advisable

Left Atrium Assessment by Speckle Tracking Echocardiography in Cryptogenic Stroke: Seeking Silent Atrial Fibrillation

Enfermedad auricular; Fibrilación auricular; EcocardiografíaMalaltia auricular; Fibril·lació auricular; EcocardiografiaAtrial disease; Atrial fibrillation; EchocardiographySilent atrial fibrillation (AF) may be the cause of some cryptogenic strokes (CrS). The aim of the study was to analyse atrial size and function by speckle tracking echocardiography in CrS patients to detect atrial disease. Patients admitted to the hospital due to CrS were included prospectively. Echocardiogram analysis included left atrial ejection fraction (LAEF) and atrial strain. Insertable cardiac monitor was implanted, and AF was defined as an episode of ≥1 min in the first year after stroke. Left atrial enlargement was defined as indexed volume > 34 mL/m2. Seventy-five consecutive patients were included, aged 76 ± 9 years (arterial hypertension 75%). AF was diagnosed in 49% of cases. The AF group had higher atrial volume and worse atrial function: peak atrial longitudinal strain (PALs) 19.6 ± 5.7% vs. 29.5 ± 7.2%, peak atrial contraction strain (PACs) 8.9 ± 3.9% vs. 16.5 ± 6%, LAEF 46.8 ± 11.5% vs. 60.6 ± 5.2%; p < 0.001. AF was diagnosed in 20 of 53 patients with non-enlarged atrium, and in 18 of them, atrial dysfunction was present. The multivariate logistic regression analysis demonstrated an independent association between detection of AF and atrial volume, LAEF, and strain. Cut-off values were obtained: LAEF < 55%, PALs < 21.4%, and PACs < 12.9%. In conclusion, speckle tracking echocardiography in CrS patients improves silent atrial disease diagnosis, with or without atrial enlargement.This research was funded by Instituto de Salud Carlos III-FIS (Fondo de Investigación Sanitaria, PI13/01830)

Impact of heart failure on stroke mortality and recurrence

Objective We aimed to examine the impact of heart failure (HF) on stroke mortality (in-hospital and postdischarge) and recurrence in a national stroke cohort from Thailand. Methods We used a large, insurance-based database including all stroke admissions in the public health sector in Thailand between 2004 and 2015. Logistic and Royston-Parmar regressions were used to quantify the effect of HF on in-hospital and long-Term outcomes, respectively. All models were adjusted for age, sex and comorbidities and stratified by stroke type: Acute ischaemic stroke (AIS) or intracerebral haemorrhage (ICH). Multistate models were constructed using flexible survival techniques to predict the impact of HF on the disease course of a patient with stroke (baseline-[recurrence]-death). Only first-ever cases of AIS or ICH were included in the multistate analysis. Results 608 890 patients (mean age 64.29±13.72 years, 55.07% men) were hospitalised (370 527 AIS, 173 236 ICH and 65 127 undetermined pathology). There were 398 663 patients with first-ever AIS and ICH. Patients were followed up for a median (95% CI) of 4.47 years (4.45 to 4.49). HF was associated with an increase in postdischarge mortality in AIS (HR [99% CI] 1.69 [1.64 to 1.74]) and ICH (2.59 [2.07 to 3.26]). HF was not associated with AIS recurrence, while ICH recurrence was only significantly increased within the first 3 years after discharge (1.79 [1.18 to 2.73]). Conclusions HF increases the risk of mortality in both AIS and ICH. We are the first to report on high-risk periods of stroke recurrence in patients with HF with ICH. Specific targeted risk reduction strategies may have significant clinical impact for mortality and recurrence in stroke

Increased COVID-19 mortality in people with previous cerebrovascular disease: a population-based cohort study

Coronavirus SARS-CoV-2; COVID-19; 2019-nCoV; Ictus hemorràgic; Ictus isquèmic; Hemorràgia subaracnoideaCoronavirus SARS-CoV-2; COVID-19; 2019-nCoV; Ictus hemorrágico; Ictus isquémico; Hemorragia subaracnoideaCoronavirus SARS-CoV-2; COVID-19; 2019-nCoV; Hemorrhagic stroke; Ischemic stroke; Subarachnoid hemorrhageBackground: The aim of the study was to determine the association between previous stroke and mortality after coronavirus disease 2019 (COVID-19) according to sex, age groups, and stroke subtypes. Methods: Prospective population-based cohort study including all COVID-19 positive cases between February 1 and July 31, 2020. Comorbidities and mortality were extracted using linked health administration databases. Previous stroke included transient ischemic attack, ischemic stroke, hemorrhagic stroke, spontaneous subarachnoid hemorrhage, and combined stroke for cases with more than one category. Other comorbidities were obesity, diabetes, hypertension, ischemic heart disease, atrial fibrillation, heart failure, chronic obstructive pulmonary disease, chronic kidney disease, cirrhosis, dementia, individual socioeconomic index, and deprivation index. Cases were followed up until December 31, 2020. Primary outcome was mortality of any cause after COVID-19 positivity. Cox proportional regression analysis adjusted for comorbidities was used. Stratified analyses were performed for sex and age (<60, 60-79, and ≥80 years). Results: There were 91 629 COVID-19 cases. Previous strokes were 5752 (6.27%), of which 3887 (67.57%) were ischemic, 1237 (21.50%) transient ischemic attack, 255 (4.43%) combined, 203 (3.53%) hemorrhagic, and 170 (2.96%) subarachnoid hemorrhage. There were 9512 deaths (10.38%). Mortality was associated with previous stroke (hazard ratio [HR]=1.12 [95% CI, 1.06-1.18]; P<0.001), in both sexes separately (men=1.13 [1.05-1.22]; P=0.001; women=1.09 [1.01-1.18]; P=0.023), in people <60 years (HR=2.97 [1.97-4.48]; P<0.001) and 60 to 79 years (HR=1.32 [1.19-1.48]; P<0.001) but not in people ≥80 years (HR=1.02 [0.96-1.09]; P=0.437). Ischemic (HR=1.11 [1.05-1.18]; P=0.001), hemorrhagic (HR=1.53 [1.20-1.96]; P=0.001) and combined (HR=1.31 [1.05-1.63]; P=0.016) strokes were associated but not transient ischemic attack. Subarachnoid hemorrhage was associated only in people <60 years (HR=5.73 [1.82-18.06]; P=0.003). Conclusions: Previous stroke was associated with a higher mortality in people younger than 80 years. The association occurred for both ischemic and hemorrhagic stroke but not for transient ischemic attack. These data might help healthcare authorities to establish prioritization strategies for COVID-19 vaccination.This work was supported, in part, by Spain’s Ministry of Health (Instituto de Salud Carlos III FEDER, RD16/0019/0002 and RD16/0019/0010 INVICTUS-PLUS

Endothelial Progenitor Cells Predict Cardiovascular Events after Atherothrombotic Stroke and Acute Myocardial Infarction. A PROCELL Substudy

The aim of this study was to determine prognostic factors for the risk of new vascular events during the first 6 months after acute myocardial infarction (AMI) or atherothrombotic stroke (AS). We were interested in the prognostic role of endothelial progenitor cells (EPC) and circulating endothelial cells (CEC) Between February 2009 and July 2012, 100 AMI and 50 AS patients were consecutively studied in three Spanish centres. Patients with previously documented coronary artery disease or ischemic strokes were excluded. Samples were collected within 24h of onset of symptoms. EPC and CEC were studied using flow cytometry and categorized by quartiles. Patients were followed for up to 6 months. NVE was defined as new acute coronary syndrome, transient ischemic attack (TIA), stroke, or any hospitalization or death from cardiovascular causes. The variables included in the analysis included: vascular risk factors, carotid intima-media thickness (IMT), atherosclerotic burden and basal EPC and CEC count. Multivariate survival analysis was performed using Cox regression analysis. During follow-up, 19 patients (12.66%) had a new vascular event (5 strokes; 3 TIAs; 4 AMI; 6 hospitalizations; 1 death). Vascular events were associated with age (P = 0.039), carotid IMT≥0.9 (P = 0.044), and EPC count (P = 0.041) in the univariate analysis. Multivariate Cox regression analysis showed an independent association with EPC in the lowest quartile (HR: 10.33, 95%CI (1.22-87.34), P = 0.032] and IMT≥0.9 [HR: 4.12, 95%CI (1.21-13.95), P = 0.023]. Basal EPC and IMT≥0.9 can predict future vascular events in patients with AMI and AS, but CEC count does not affect cardiovascular risk

Machine learning approximations to predict epigenetic age acceleration in stroke patients

Age acceleration (Age-A) is a useful tool that is able to predict a broad range of health outcomes. It is necessary to determine DNA methylation levels to estimate it, and it is known that Age-A is influenced by environmental, lifestyle, and vascular risk factors (VRF). The aim of this study is to estimate the contribution of these easily measurable factors to Age-A in patients with cerebrovascular disease (CVD), using different machine learning (ML) approximations, and try to find a more accessible model able to predict Age-A. We studied a CVD cohort of 952 patients with information about VRF, lifestyle habits, and target organ damage. We estimated Age-A using Hannum\u27s epigenetic clock, and trained six different models to predict Age-A: a conventional linear regression model, four ML models (elastic net regression (EN), K-Nearest neighbors, random forest, and support vector machine models), and one deep learning approximation (multilayer perceptron (MLP) model). The best-performing models were EN and MLP; although, the predictive capability was modest (

Ultrasound-based stroke/cardiovascular risk stratification using Framingham Risk Score and ASCVD Risk Score based on “Integrated Vascular Age” instead of “Chronological Age”: A multi-ethnic study of Asian Indian, Caucasian, and Japanese cohorts

Background: Vascular age (VA) has recently emerged for CVD risk assessment and can either be computed using conventional risk factors (CRF) or by using carotid intima-media thickness (cIMT) derived from carotid ultrasound (CUS). This study investigates a novel method of integrating both CRF and cIMT for estimating VA [so-called integrated VA (IVA)]. Further, the study analyzes and compares CVD/stroke risk using the Framingham Risk Score (FRS)-based risk calculator when adapting IVA against VA. Methods: The system follows a four-step process: (I) VA using cIMT based using linear-regression (LR) model and its coefficients; (II) VA prediction using ten CRF using a multivariate linear regression (MLR)based model with gender adjustment; (III) coefficients from the LR-based model and MLR-based model are combined using a linear model to predict the final IVA; (IV) the final step consists of FRS-based risk stratification with IVA as inputs and benchmarked against FRS using conventional method of CA. Area-under-the-curve (AUC) is computed using IVA and benchmarked against CA while taking the response variable as a standardized combination of cIMT and glycated hemoglobin. Results: The study recruited 648 patients, 202 were Japanese, 314 were Asian Indian, and 132 were Caucasians. Both left and right common carotid arteries (CCA) of all the population were scanned, thus a total of 1,287 ultrasound scans. The 10-year FRS using IVA reported higher AUC (AUC =0.78) compared with 10-year FRS using CA (AUC =0.66) by ~18%

Multimodality carotid plaque tissue characterization and classification in the artificial intelligence paradigm: a narrative review for stroke application

Cardiovascular disease (CVD) is one of the leading causes of morbidity and mortality in the United States of America and globally. Carotid arterial plaque, a cause and also a marker of such CVD, can be detected by various non-invasive imaging modalities such as magnetic resonance imaging (MRI), computer tomography (CT), and ultrasound (US). Characterization and classification of carotid plaque-type in these imaging modalities, especially into symptomatic and asymptomatic plaque, helps in the planning of carotid endarterectomy or stenting. It can be challenging to characterize plaque components due to (I) partial volume effect in magnetic resonance imaging (MRI) or (II) varying Hausdorff values in plaque regions in CT, and (III) attenuation of echoes reflected by the plaque during US causing acoustic shadowing. Artificial intelligence (AI) methods have become an indispensable part of healthcare and their applications to the non-invasive imaging technologies such as MRI, CT, and the US. In this narrative review, three main types of AI models (machine learning, deep learning, and transfer learning) are analyzed when applied to MRI, CT, and the US. A link between carotid plaque characteristics and the risk of coronary artery disease is presented. With regard to characterization, we review tools and techniques that use AI models to distinguish carotid plaque types based on signal processing and feature strengths. We conclude that AI-based solutions offer an accurate and robust path for tissue characterization and classification for carotid artery plaque imaging in all three imaging modalities. Due to cost, user-friendliness, and clinical effectiveness, AI in the US has dominated the most