Young cryptogenic ischemic stroke: A descriptive analysis of clinical and laboratory characteristics, outcomes and stroke recurrence

Lifestyle, clinical, and occupational risk factors of recurrent stroke among the working-age group: A systematic review and meta-analysis

Background

Stroke recurrence is increasing in the working-age population. This study aimed to summarize and evaluate the risk factors for recurrent stroke among the working-age population.

Methods

Relevant studies were extracted from several databases following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Fixed- or random-effects estimates of the pooled odds ratio (OR) and 95% confidence interval (CI) of risk factors for recurrent stroke were generated based on heterogeneity. Subgroup and publication bias analyses were also performed.

Results

Seventeen studies were included in the meta-analysis. Pooled effects results revealed that the risk of recurrent stroke in the working-age group was as follows: Diabetes (OR = 1.85, 95% CI: 1.47, 2.32), hypertension (OR = 1.27, 95% CI: 1.12, 1.44), smoking (OR = 1.52, 95% CI: 1.27, 1.81), history of cardiac disease (OR = 2.86, 95% CI: 2.22, 3.67), history of stroke (OR = 2.45, 95% CI: 1.81, 3.31), and National Institutes of Health stroke severity score (OR = 1.09, 95% CI: 1.03, 1.15).

Conclusion

These findings suggest that several factors, such as diabetes, hypertension, smoking, history of cardiac disease and stroke, and severity of a stroke, are potential risk factors for recurrent stroke in the working-age group. Therefore, strategies to reduce those risk factors should be adopted and attention paid to prevent recurrent stroke among working-age populations.

A Contemporary Review of Epidemiology, Risk Factors, Etiology, and Outcomes of Premature Stroke

PURPOSE OF REVIEW

Recent data identifies increases in young ischemic and hemorrhagic strokes. We provide a contemporary overview of current literature on stroke among young patients or premature stroke along with directions for future investigation.

RECENT FINDINGS

Strokes in the young are highly heterogenous and often cryptogenic. Sex distribution and risk factors shift from women among the youngest age groups (< 35) to men over the age of 45, with a coinciding rise in traditional vascular risk factors. Incidence is higher in minority and socioeconomically disadvantaged populations, and the impact of stroke among these communities may be exaggerated by disparities in symptom recognition and access to care. Special diagnostic work-up may be needed, and a lower threshold for diagnosis is warranted as potential misdiagnosis is a concern and may preclude necessary triage and management. Although "premature strokes" form a relatively small proportion of total incidence, they vary greatly across subgroups and present an outsized impact on quality of life and productivity.

Estonian young stroke registry: High burden of risk factors and high prevalence of cardiomebolic and large-artery stroke

Background and aims

The aim of the present study was to assess the risk factor burden and stroke etiology of young stroke patients in Estonia and to compare the results with similar cohorts from other countries.

Methods

This study includes ischemic stroke patients aged 18-54 years from the prospective Estonian Young Stroke Registry between 2013 and 2020. All patients were managed in a stroke unit following a prespecified detailed protocol. Data on stroke risk factors, etiology, and stroke severity were analyzed.

Results

A total of 437 patients (mean age 44.7 ± 8.3 years; 62% males) were included in the registry during the 8-year study period. A total of 50.2% of patients had ≥ 3 well-documented risk factors (higher for men: odds ratio (OR) 3.8; 95% cardiac index confidence interval (CI) 1.8-8.3; p < .001) and 6.2% of patients had ≥ 3 less well-documented risk factors. While 42% of patients had undetermined cause of stroke (34% of them cryptogenic), the second most frequent etiologies were large-artery atherosclerosis and cardioembolism (both 19%). 60 percent of cardioembolic strokes were due to high-risk causes. Large-artery atherosclerosis was more prevalent in men (OR 1.8; 95% CI 1-3.3; p = .05) and among older patients (OR 6.2; 95% CI 1.8-21.4; p = .008). The median National Institutes of Health Stroke Scale score on admission was 3 (interquartile ranges 2-6), stroke was more severe in men (p = .05).

Conclusions

Our study revealed that young patients with stroke in Estonia have higher burden of well-documented risk factors, higher prevalence of high-risk cardioembolic causes and higher prevalence of large-artery stroke compared to other young stroke cohorts.

Socioeconomic status and lifestyle in young ischaemic stroke patients: a possible relationship to stroke recovery and risk of recurrent event

OBJECTIVES

Socioeconomic status (SES) and lifestyle have impact on recovery after ischaemic stroke (IS) and on risk of recurrent ischaemic stroke (RIS) in elderly patients. With regard to currently available limited data on young people, we aimed to assess SES and parameters of lifestyle and evaluate their relationship to stroke recovery and risk of RIS in young patients.

METHODS

We analysed consecutive young IS patients < 50 years enrolled in the prospective HISTORY (Heart and Ischaemic STrOke Relationship studY) study registered on ClinicalTrials.gov (NCT01541163). Data were acquired from structured a self-evaluating multiple-choice questionnaire. Clinical outcome was assessed using the Modified Rankin Scale (MRS) after 3 months with score 0-1 for excellent outcome.

RESULTS

Data were obtained from 297 (163 males, mean age 39.6 ± 7.8 years) young patients. Patients with MRS 0-1 (237, 79.8%) did not differ in SES except university education (21.1 vs. 3.3%; p = 0.001), less smoked (16.5 vs. 58.3%; p < 0.001), more of them did regular sport activities (79.1 vs. 51.6%; p = 0.02) and passed regular preventive medical checks (45.6 vs. 24.2%; p = 0.01). Twelve (4%) patients suffered from RIS during a follow-up with median of 25 months. They did not differ in SES but had higher body mass index (31.6 vs. 26.7; p = 0.007), reported less regular sport activities (16.7 vs. 73.0%; p < 0.001) and less regular medical checks (8.3 vs. 40.0%; p = 0.001).

CONCLUSION

In young patients, SES had no relationship to clinical outcome after IS and to risk of RIS except education level. Some parameters of health lifestyle were presented more in patients with excellent outcome and without RIS during the follow-up.