Family history of stroke is an independent risk factor for lacunar stroke subtype with asymptomatic lacunar infarcts at younger ages

The prevalence of stroke and related risk factors among residents aged ≥ 40 years in Chongqing, Southwest China

Background

China bears the largest global stroke burden, yet little is known about its rates in Chongqing, southwest China. We aimed to investigate the prevalence and related risk factors for stroke in Chongqing, and to provide evidence for improved formulation of targeted primary preventive measures for stroke.

Methods

In 2015, a cross-sectional study was conducted in Nan’an district, Chongqing. Participants responded to a questionnaire surveying general information and common risk factors for stroke, and related physical examinations were conducted.

Results

Of 25,000 people aged ≥ 40 years who were investigated, 24,859 participants completed the questionnaire and underwent the physical examination. The crude prevalence rate for stroke was 1.71%, and was higher in men than in women (1.9% versus 1.6%). Prevalence rates increased with age (p < 0.001). Multiple logistic regression analysis indicated that too little exercise, hypertension, family history of stroke, and history of transient ischemic attack were stroke risk factors among three groups (men, women, and total participants; all p-values < 0.05). Smoking was a risk factor for men (odds ratio 2.77; 95% Cl 1.46–5.28) and having only attained a primary school or lower education level was a risk factor for women (p < 0.05).

Conclusions

These findings suggest that controlling stroke risk factors for stroke prevention is still crucial. Moreover, this study provides comprehensive resource data for further stroke research in southwest China.

Family History is Related to High Risk of Recurrent Events after Ischemic Stroke or Transient Ischemic Attack

OBJECTIVE

Prior data suggest paternal or sibling stroke was associated with increased risk of offspring stroke. Whether family history of cardiovascular disease (FHc) predicts risk of stroke recurrence remains unclear, we aim to determine this issue on patients with ischemic stroke (IS) or transient ischemic attack (TIA).

MATERIALS AND METHODS

This is a post hoc analysis based on the Third China National Stroke Registry III. IS/TIA patients with data of FHc status were included. FHc was defined as family history of coronary heart disease (CHD) or stroke among first-degree relatives (include parents, children, and siblings (same parents)). Cox proportional hazards regression models were performed to assess the association between FHc and recurrent events at 1 year follow-up.

RESULTS

Totally 14,208 patients with verified FHc status were included, 4,454 (31.3%) were female and the median (IQR) age was 62.0 (54.0, 70.0) years. Of these, 294 (2.1%), 726 (5.1%) and 1936 (13.6%) had family history of both CHD and stroke, family history of CHD, and family history of stroke only, respectively. Using multivariable Cox models adjusted for age, sex, and vascular risk factors, we found that patients with FHc experienced higher risk of stroke recurrence (HR=1.151, 95%CI=1.000-1.324) and combined vascular events (HR=1.186, 95%CI=1.036-1.358) at 1 year compared with those without FHc. In sensitivity analysis on patients who received primary secondary prevention treatment of antiplatelet and statins, the association persisted.

CONCLUSIONS

FHc is associated with increased risk of stroke recurrence even under primary secondary prevention treatment.

Family History of Stroke is Associated with Greater Prevalence of Certain Risk Factors and Self-Reported Stroke Symptoms

OBJECTIVES

Family history of stroke increases stroke risk, however mechanisms underlying this association remain unclear. We investigated whether family history of stroke is related to increased prevalence of stroke risk factors, unhealthy behaviors and self-reported stroke symptoms in middle-aged adults.

MATERIALS AND METHODS

In a cross-sectional study conducted from November 2018 to January 2021 in 100 primary care facilities in Poland we evaluated adults aged 40-65 years (n = 2207, women 57.4%, median age 55 years) for stroke risk factors, healthy behaviors, family history of stroke, self-reported stroke symptoms and stroke knowledge using structured questionnaires. Patients were categorized based on family history of stroke defined as ≥1 first-degree relative with documented stroke.

RESULTS

Family history of stroke was reported by 571 (25.9%) individuals who were older (median age 56 vs. 54 years, p = 0.00001) and after adjustment for age more frequently suffered from hypertension (61.5% vs. 53.7%, p = 0.024) and prior transient ischemic attack (2.1% vs. 0.9%, p = 0.019), but not other risk factors. However, they were less obese (34.5% vs. 39.1%, p = 0.03). Women, but not men, with family history of stroke (n = 339, 26.8%) had greater prevalence of atrial fibrillation (7.4% vs. 3.9%, p = 0.037). Family history of stroke was associated with higher prevalence of any self-reported stroke symptom (32.9% vs. 23.2%, p < 0.00001), but not with unhealthy dietary behaviors or low level of knowledge about stroke.

CONCLUSIONS

Family history of stroke is associated with greater prevalence of certain risk factors and self-reported stroke symptoms, which indicates the need for closer surveillance of middle-aged individuals at risk.

Mining association rules between stroke risk factors based on the Apriori algorithm

BACKGROUND

Stroke is a frequently-occurring disease and is a severe threat to human health.

OBJECTIVE

We aimed to explore the associations between stroke risk factors.

METHODS

Subjects who were aged 40 or above were requested to do surveys with a unified questionnaire as well as laboratory examinations. The Apriori algorithm was applied to find out the meaningful association rules. Selected association rules were divided into 8 groups by the number of former items. The rules with higher confidence degree in every group were viewed as the meaningful rules.

RESULTS

The training set used in association analysis consists of a total of 985,325 samples, with 15,835 stroke patients (1.65%) and 941,490 without stroke (98.35%). Based on the threshold we set for the Apriori algorithm, eight meaningful association rules were obtained between stroke and its high risk factors. While between high risk factors, there are 25 meaningful association rules.

CONCLUSIONS

Based on the Apriori algorithm, meaningful association rules between the high risk factors of stroke were found, proving a feasible way to reduce the risk of stroke with early intervention.

Towards phenotyping stroke: Leveraging data from a large-scale epidemiological study to detect stroke diagnosis

Objective

1) To develop a machine learning approach for detecting stroke cases and subtypes from hospitalization data, 2) to assess algorithm performance and predictors on real-world data collected by a large-scale epidemiology study in the US; and 3) to identify directions for future development of high-precision stroke phenotypic signatures.

Materials and methods

We utilized 8,131 hospitalization events (ICD-9 codes 430–438) collected from the Greater Cincinnati/Northern Kentucky Stroke Study in 2005 and 2010. Detailed information from patients’ medical records was abstracted for each event by trained research nurses. By analyzing the broad list of demographic and clinical variables, the machine learning algorithms predicted whether an event was a stroke case and, if so, the stroke subtype. The performance was validated on gold-standard labels adjudicated by stroke physicians, and results were compared with stroke classifications based on ICD-9 discharge codes, as well as labels determined by study nurses.

Results

The best performing machine learning algorithm achieved a performance of 88.57%/93.81%/92.80%/93.30%/89.84%/98.01% (accuracy/precision/recall/F-measure/area under ROC curve/area under precision-recall curve) on stroke case detection. For detecting stroke subtypes, the algorithm yielded an overall accuracy of 87.39% and greater than 85% precision on individual subtypes. The machine learning algorithms significantly outperformed the ICD-9 method on all measures (P value<0.001). Their performance was comparable to that of study nurses, with better tradeoff between precision and recall. The feature selection uncovered a subset of predictive variables that could facilitate future development of effective stroke phenotyping algorithms.

Discussion and conclusions

By analyzing a broad array of patient data, the machine learning technologies held promise for improving detection of stroke diagnosis, thus unlocking high statistical power for subsequent genetic and genomic studies.

Prevalence of stroke and associated risk factors: a population based cross sectional study from northeast China

OBJECTIVES

Epidemiological studies aimed at stroke and its risk factors can help identify persons at higher risk and therefore promote stroke prevention strategies. We aimed to explore the current prevalence of stroke and its associated risk factors in northeast China.

DESIGN

Population based cross sectional study.

SETTING

Data were collected using a structured precoded questionnaire designed by the Stroke Screening and Prevention Programme of the National Health and Family Planning Commission of China, between January and March 2016.

PARTICIPANTS

4100 permanent residents, aged 40 years or older, who had lived in Dehui City of Jilin Province for more than 6 months volunteered to participate in the survey, with a response rate of 92.2%. For the purpose of the present analysis, 48 subjects were excluded due to missing values, giving a total of 4052 people included in this analysis.

MAIN OUTCOME MEASURE

The questionnaire included demographic characteristics, stroke related behavioural factors, personal and family medical history of stroke, physical examination and laboratory testing.

RESULTS

The overall prevalence of stroke in Jilin Province was 7.2% (95% CI 6.3% to 8.2%). Of all stroke cases, 91.7% (95% CI 87.4% to 94.6%) were ischaemic stroke and 8.3% (95% CI 5.4% to 12.6%) were haemorrhagic stroke. The prevalence rates of dyslipidaemia, smoking and hypertension were ranked as the top three cerebrovascular risk factors and were 62.1%, 61.8% and 57.3%, respectively. We found that hypertension, dyslipidaemia and lack of exercise were associated with ischaemic stroke. However, only hypertension (OR=4.064, 95% CI 1.358 to 12.160) was significantly associated with haemorrhagic stroke.

CONCLUSIONS

The prevalence of stroke, especially ischaemic stroke, and associated cerebrovascular risk factors among adults aged 40 years or older in northeast China were high. A higher regional prevalence of hypertension, dyslipidaemia and lack of exercise may be responsible.

Family History and Risk of Recurrent Stroke

Background and Purpose—

The association between family history of stroke and stroke recurrence remains unclear.

Methods—

Using a web-based multicenter stroke registry database, information on history of stroke in first-degree relatives was collected prospectively for acute ischemic stroke patients who were hospitalized within 7 days of onset. The collected information was categorized as follows: type of the affected relative(s) with stroke (paternal, maternal, sibling, or 2 or more) and age of the relative’s stroke onset (<50, 50–59, 60–69, and ≥70 years). Stroke recurrence was captured prospectively using a predetermined protocol. Subgroup analyses were performed according to the patient’s age at the index stroke.

Results—

Among 7642 patients, 937 (12.3%) had a history of stroke in their first-degree relatives and 475 (6.2%: 201 within and 274 after 3 weeks from index stroke) experienced stroke recurrence (median follow-up, 365 days). In multivariable Cox proportional hazard models, overall family history was not associated with stroke recurrence (hazard ratio, 1.08; 95% confidence interval, 0.81–1.43). However, the details of their family histories, including relative’s age at stroke onset (<50 years: hazard ratio, 2.14; 95% confidence interval, 1.004–4.54) and stroke history in a sibling (hazard ratio, 1.67; 95% confidence interval, 1.09–2.58), were independently associated with stroke recurrence after adjusting for potential confounders. The associations appeared to be stronger in young adults with stroke (age, <55 years) than in older stroke patients.

Conclusions—

This study suggests that elevated risks of recurrent stroke are associated with having relatives with early-onset stroke and siblings with stroke histories, implying that additional precautions may be needed in such populations.

Prevalence of CADASIL and Fabry Disease in a Cohort of MRI Defined Younger Onset Lacunar Stroke

Background and Purpose

Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL), caused by mutations in the NOTCH3 gene, is the most common monogenic disorder causing lacunar stroke and cerebral small vessel disease (SVD). Fabry disease (FD) due to mutations in the GLA gene has been suggested as an underdiagnosed cause of stroke, and one feature is SVD. Previous studies reported varying prevalence of CADASIL and FD in stroke, likely due to varying subtypes studied; no studies have looked at a large cohort of younger onset SVD. We determined the prevalence in a well-defined, MRI-verified cohort of apparently sporadic patients with lacunar infarct.

Methods

Caucasian patients with lacunar infarction, aged ≤70 years (mean age 56.7 (SD8.6)), were recruited from 72 specialist stroke centres throughout the UK as part of the Young Lacunar Stroke DNA Resource. Patients with a previously confirmed monogenic cause of stroke were excluded. All MRI’s and clinical histories were reviewed centrally. Screening was performed for NOTCH3 and GLA mutations.

Results

Of 994 subjects five had pathogenic NOTCH3 mutations (R169C, R207C, R587C, C1222G and C323S) all resulting in loss or gain of a cysteine in the NOTCH3 protein. All five patients had confluent leukoaraiosis (Fazekas grade ≥2). CADASIL prevalence overall was 0.5% (95% CI 0.2%-1.1%) and among cases with confluent leukoaraiosis 1.5% (95% CI 0.6%-3.3%). No classic pathogenic FD mutations were found; one patient had a missense mutation (R118C), associated with late-onset FD.

Conclusion

CADASIL cases are rare and only detected in SVD patients with confluent leukoaraiosis. No definite FD cases were detected.

Clinical characteristics of acute lacunar stroke in young adults

INTRODUCTION

Acute lacunar stroke in subjects under 55 years of age has been poorly characterized.

METHODS

We assessed the clinical features of lacunar stroke in 51 patients aged ≤55 years (84.5% men, mean standard deviation [SD] age 49.8 [5.2] years) collected from a prospective hospital-based stroke registry in Barcelona, Catalonia, Spain.

RESULTS

This subset of young lacunar stroke patients accounted for only 5.2% of all lacunar strokes, 1.2% of all ischemic strokes, and 1.1% of all acute strokes included in the registry over a 24-year period. In the multivariate analysis, factors independently associated with acute lacunar stroke in patients aged ≤55 years were alcohol consumption (>60 g/day) (odds ratio [OR] = 6.67), heavy smoking (>20 cigarettes/day) (OR = 3.02), obesity (OR = 2.81), essential etiology (OR = 2.73), and headache at stroke onset (OR = 2.45).

CONCLUSION

Characterization of the clinical profile of acute lacunar stroke in younger patients contributes to a better knowledge of the full clinical expression of this ischemic stroke subtype.

Small vessel cerebrovascular disease: the past, present, and future

Brain infarction due to small vessel cerebrovascular disease (SVCD)-also known as small vessel infarct (SVI) or "lacunar" stroke-accounts for 20% to 25% of all ischemic strokes. Historically, SVIs have been associated with a favorable short-term prognosis. However, studies over the years have demonstrated that SVCD/SVI is perhaps a more complex and less benign phenomenon than generally presumed. The currently employed diagnostic and therapeutic strategies are based upon historical and contemporary perceptions of SVCD/SVI. What is discovered in the future will unmask the true countenance of SVCD/SVI and help furnish more accurate prognostication schemes and effective treatments for this condition. This paper is an overview of SVCD/SVI with respect to the discoveries of the past, what is known now, and what will the ongoing investigations evince in the future.