Abstract
Background: The risk of stroke in Adult Congenital Heart Disease (ACHD) is well established. However, the prevalence and impact of stroke in young ACHD-related admissions stratified by median household income remain underexplored. Methods: The National Inpatient Sample (2019) was utilized to identify the rate of stroke admissions among young (18-44 years) ACHD patients. We also evaluated comorbidities and outcomes (all-cause mortality [ACM], length of stay [LOS], disposition,&charges) based on the median household income quartiles and compared two cohorts of lowest (0-25th percentile) and highest (75-100thpercentile) median household income (LMHI vs HMHI). Results: Of 41950 young (18-44 years) ACHD patients, 5360 patients had stroke (12.8%). Patients in the LMHI group were relatively older (median age 36 years vs 35 years) and had a greater proportion of males (53.8% vs 46.0%) when compared to patients in the HMHI group. Patients admitted with stroke were of greater proportion in the LMHI group (13.2% vs 12.1%) compared to the HMHI group. Comorbidities like alcohol abuse (4.7% vs. 2.3%), depression (9.8% vs. 7.0%), hypertension (13.0% vs. 5.6%), obesity (21.2% vs. 18%), drug abuse (12.3% vs 4.2%), and tobacco use disorder (30.4% vs 11.2%) were higher for LMHI when compared to HMHI. Regarding in-hospital outcomes, ACM (3.7 vs. 1.9%) and discharge to home (71.6 vs. 66.5) were higher with HMHI, whereas the LMHI cohort demonstrated fewer routine discharges, higher transfers to other facilities, and prolonged LOS (5 vs. 3 days, p<0.001). When adjusted for confounders, there were statistically higher odds of AIS in ACHD patients from the LMHI group vs. the HMHI group [aOR 1.33; 1.02-1.74; p=0.045]. However, no association of income quartile with overall stroke risk was observed. Conclusion: The prevalence of stroke is significantly higher in the LMHI group. When controlled for confounders, there was a higher risk of AIS without any impact on overall stroke. Furthermore, the lowermost income quartile was associated with fewer routine dispositions, and frequent transfers can further adversely increase healthcare inequalities and healthcare costs.
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