Development and validation of algorithms to predict left ventricular ejection fraction class from healthcare claims data.

AIMS: The use of large medical or healthcare claims databases is very useful for population-based studies on the burden of heart failure (HF). Clinical characteristics and management of HF patients differ according to categories of left ventricular ejection fraction (LVEF), but this information is often missing in such databases. We aimed to develop and validate algorithms to identify LVEF in healthcare databases where the information is lacking. METHODS AND RESULTS: Algorithms were built by machine learning with a random forest approach. Algorithms were trained and reinforced using the French national claims database [Système National des Données de Santé (SNDS)] and a French HF registry. Variables were age, gender, and comorbidities, which could be identified by medico-administrative code-based proxies, Anatomical Therapeutic Chemical codes for drug delivery, International Classification of Diseases (Tenth Revision) coding for hospitalizations, and administrative codes for any other type of reimbursed care. The algorithms were validated by cross-validation and against a subset of the SNDS that includes LVEF information. The areas under the receiver operating characteristic curve were 0.84 for the algorithm identifying LVEF ≤ 40% and 0.79 for the algorithms identifying LVEF < 50% and ≥50%. For LVEF ≤ 40%, the reinforced algorithm identified 50% of patients in the validation dataset with a positive predictive value of 0.88 and a specificity of 0.96. The most important predictive variables were delivery of HF medication, sex, age, hospitalization, and testing for natriuretic peptides with different orders of positive or negative importance according to the LVEF category. CONCLUSIONS: The algorithms identify reduced or preserved LVEF in HF patients within a nationwide healthcare claims database with high positive predictive value and low rates of false positives.

Clinical effects of permanent pacemaker implantation after transcatheter aortic valve implantation: Insights from the nationwide FRANCE-TAVI registry.

BACKGROUND: The influence of permanent pacemaker implantation upon outcomes after transcatheter aortic valve implantation (TAVI) remains controversial. AIMS: To evaluate the impact of permanent pacemaker implantation after TAVI on short- and long-term mortality, and on the risk of hospitalization for heart failure. METHODS: Data from the large FRANCE-TAVI registry, linked to the French national health single-payer claims database, were analysed to compare 30-day and long-term mortality rates and hospitalization for heart failure rates among patients with versus without permanent pacemaker implantation after TAVI. Multivariable regressions were performed to adjust for confounders. RESULTS: A total of 36,549 patients (mean age 82.6years; 51.6% female) who underwent TAVI from 2013 to 2019 were included in the present analysis. Among them, 6999 (19.1%) received permanent pacemaker implantation during the index hospitalization, whereas 232 (0.6%) underwent permanent pacemaker implantation between hospital discharge and 30days after TAVI, at a median of 11 (interquartile range: 7-18) days. In-hospital permanent pacemaker implantation was not associated with an increased risk of death between discharge and 30days (adjusted odds ratio: 0.91, 95% confidence interval: 0.64-1.29). At 5years, the incidence of all-cause death was higher among patients with versus without permanent pacemaker implantation within 30days of the procedure (adjusted hazard ratio: 1.13, 95% confidence interval: 1.07-1.19). Permanent pacemaker implantation within 30days of TAVI was also associated with a higher 5-year rate of hospitalization for heart failure (adjusted subhazard ratio: 1.17, 95% confidence interval: 1.11-1.23). CONCLUSIONS: Permanent pacemaker implantation after TAVI is associated with an increased risk of long-term hospitalization for heart failure and all-cause mortality. Further research to mitigate the risk of postprocedural permanent pacemaker implantation is needed as TAVI indications expand to lower-risk patients.