Readmissions for Cardiac Disease Within 30 Days of Hospitalization for Cerebral Infarction: An Evaluation of the Stroke-Heart Syndrome Using the Nationwide Readmission Database.
Аннотация
BACKGROUND
The stroke-heart syndrome refers to incident cardiac complications post stroke. This study aims to evaluate the stroke-heart syndrome by determining the rate and predictors of readmission for cardiac disease within 30 days of hospitalization for cerebral infarction.
METHODS
Data from the United States Nationwide Readmissions Database (2018 to 2020) were analyzed to identify rates and factors associated with 30-day readmissions for heart disease following cerebral infarction, excluding patients with atrial fibrillation, heart failure and myocardial infarction during admission with cerebral infarction.
RESULTS
There were 3,115,850 hospital admissions for cerebral infarction, and 75,440 admissions (2.4%) were readmitted with new onset cardiac events within 30 days of discharge. This included 36,310 (1.4%) readmissions for heart failure, 35,900 (1.1%) readmissions for atrial fibrillation, 17,465 (0.5%) readmissions for acute myocardial infarction, 810 (0.03%) readmissions for ventricular arrhythmias and 700 (0.02%) readmissions for Takotsubo syndrome. Readmitted patients were older (median age of 73 years vs. 68 years, p < 0.001) and had a longer length of stay for initial admission (median of 4 days vs. 3 days, p < 0.001). The most significant predictors of readmission were elective admission (OR 2.00, 95%CI 1.89-2.13, p < 0.001), cancer (OR 1.91, 95%CI 1.81-2.01, p < 0.001), chronic kidney disease (OR 1.80, 95%CI 1.73-1.87, p < 0.001), previous myocardial infarction (OR 1.59, 95%CI 1.50-1.69, p < 0.001) and liver failure (OR 1.34, 95%CI 1.06-1.68, p = 0.013). Palliative care was linked to a reduced odds of readmission (OR 0.36, 95%CI 0.31-0.41, p < 0.001).
CONCLUSIONS
New cardiac-related hospital readmissions within 30 days after ischemic stroke occur in 2.4% of patients, with elective admission and cancer being a strong predictor of readmissions.
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