Predicting 30-day readmission after congenital heart surgery across the lifespan. (5th September 2020)

• Record Type: Journal Article
• Authors: Everitt, Ian; Hoffman, Trenton; Raskind-Hood, Cheryl; Rodriguez, Fred H.; Hogue, Carol; Book, Wendy M.
• Is Part Of: Cardiology in the young. Volume 30:Number 9(2020)
• Page Start: 1297
• Page End: 1304
• Publication Date: 2020-09-05
• Subjects: CHD, -- congenital heart surgery, -- readmission; Pediatric cardiology -- Periodicals; 618.9212
• DOI: 10.1017/S1047951120002012
• Languages: English
• ISSNs: 1047-9511

Abstract

Abstract: Introduction: Hospital readmission is an important driver of costs among patients with CHD. We assessed predictors of 30-day rehospitalisation following cardiac surgery in CHD patients across the lifespan. Methods: This was a retrospective analysis of 981 patients with CHD who had cardiac surgery between January 2011 and December 2012. A multivariate logistic regression model was used to identify demographic, clinical, and surgical predictors of 30-day readmission. Receiver operating curves derived from multivariate logistic modelling were utilised to discriminate between patients who were readmitted and not-readmitted at 30 days. Model goodness of fit was assessed using the Hosmer–Lemeshow test statistic. Results: Readmission in the 30 days following congenital heart surgery is common (14.0%). Among 981 patients risk factors associated with increased odds of 30-day readmission after congenital heart surgery through multivariate analysis included a history of previous cardiac surgery (p < 0.001), longer post-operative length of stay (p < 0.001), as well as nutritional (p < 0.001), haematologic (p < 0.02), and endocrine (p = 0.04) co-morbidities. Patients who underwent septal defect repair had reduced odds of readmission (p < 0.001), as did children (p = 0.04) and adult (p = 0.005) patients relative to neonates. Conclusion: Risk factors for readmission include a history of cardiac surgery, longer length of stay, and co-morbid conditions. This information may serve to guide efforts to prevent readmission and inform resource allocation in the transition of care to the outpatient setting. This study also demonstrated the feasibility of linking a national subspecialty registry to a clinical and administrative data repository to follow longitudinal outcomes of interest.