2026-10-11T13:33:21Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34034410 2026-09-30T17:24:43Z category_7 category_15 category_21 category_811 category_62 category_64 category_122 category_132 category_134 portal_5 item_type_3 month_year_09_2026

<p>Prevalence of stroke risk comorbidity.</p> Rupesh Agrawal (845029) Dursun Delen (25145008) Bruce Benjamin (25145011) Rani Misra (25145014) Medicine Neuroscience Biotechnology Mathematical Sciences not elsewhere classified Marine Biology Cancer Mental Health Infectious Diseases Virology temporal inferences cannot obstructive sleep apnea morbid conditions corresponding may inform hypothesis major diagnostic category driven longitudinal studies compliant cerner database chronic intermittent hypoxia 43 %, f 37 %, f 23 ), mined 83 %), followed 11 %), along sql ), stratified sectional analyses showed 474 unique de specific prevalence estimates provides detailed age older age groups patterns reflect population musculoskeletal body systems findings highlight population 9 code 327 stratified prevalence patterns level prevalence patterns 28 %), hypertension xlink "> age identified osa patients stroke risk comorbidities xlink "> risk comorbidities 474 patients stratified prevalence 3 %), level age stratified cross sectional study prevalence rates highest prevalence characterize age age 55 osa patients prior stroke patient records future evaluation examined according components using based cross associated stroke <div> <p>Objective</p><p>To characterize age- and sex-stratified prevalence patterns of obstructive sleep apnea and co-morbid conditions corresponding to components using a large, population-based electronic health record dataset.</p> <p>Study Design</p><p>The study cohort included 556,474 unique de-identified OSA patients (ICD-9 code 327.23), mined from HIPAA-compliant Cerner database (1999–2016). The patient records were mined using Structured Query Language (SQL), stratified by age, gender, and stroke risk comorbidities per , to conduct a population-based cross-sectional epidemiological study.</p> <p>Methods</p><p>Clinical and epidemiological research informatics methodologies are applied to characterize OSA prevalence patterns across age (5-year intervals), gender, and stroke risk comorbidities per criteria. Body-level organ system involvement was examined according to the Major Diagnostic Category (MDC) classification.</p> <p>Results</p><p>Age-stratified cross-sectional analyses showed that prevalence rates for OSA (m: 10.43%, f: 9.28%), hypertension (m: 7.37%, f: 7.11%), along with clinical encounters, peaked at age 55 for both genders, whereas the highest prevalence of cardiovascular comorbidities was observed in older age groups (ages 65–70). Hypertension was most prevalent (57.83%), followed by diabetes (34.7%), congestive heart failure (17.7%), atrial fibrillation (13.31%), vascular disease (12.3%), and prior stroke/TIA (4.78%).</p><p>MDC analysis revealed that prevalence is pronounced in ENT, cardiovascular, and musculoskeletal body systems, consistent with the pathophysiology of chronic intermittent hypoxia in OSA patients. These patterns reflect population-level age-specific prevalence differences rather than longitudinal disease progression.</p> <p>Conclusion</p><p>This large cross-sectional study (556,474 patients) provides detailed age- and sex-specific prevalence estimates of OSA-associated stroke-risk comorbidities. While causal or temporal inferences cannot be drawn, the findings highlight population-level prevalence patterns that may inform hypothesis-driven longitudinal studies and future evaluation of stroke-risk models.</p></div> 2026-09-30T17:24:19Z Dataset Dataset 10.1371/journal.pone.0357824.t001 https://figshare.com/articles/dataset/_p_Prevalence_of_stroke_risk_comorbidity_p_/34034410 CC BY 4.0