학술논문

Abstract 16504: Hospital Frailty Risk Score (HFRS) Predicts Adverse Events in Patients Undergoing Elective Percutaneous Left Atrial Appendage Closure (LAAC) With WATCHMAN Device
Document Type
Academic Journal
Source
Circulation. Nov 07, 2023 148(Suppl_1 Suppl 1):A16504-A16504
Subject
Language
English
ISSN
0009-7322
Abstract
Introduction: Frailty and its association with adverse events are well-known in transcatheter aortic valve replacement. However, this association has not been well-studied in patients undergoing Left Atrial Appendage Closure (LAAC).Hypothesis: Frailty predicts adverse events in patients undergoing elective LAAC with WATCHMAN device.Methods: Patients aged ≥65 years who underwent elective LAAC with WATCHMAN device were identified using ICD-10 procedure code 02L73DK from the 2016-2018 HCUP-NIS Database. Hospital Frailty Risk Score (HFRS) was calculated for each patient based on 109 ICD-10 diagnosis codes and classified into non-frail (HFRS < 5) and frail (HFRS score ≥ 5) groups. In-hospital major adverse event (MAE) was defined as the composite of mortality, stroke (ischemic or hemorrhagic) or TIA, bleeding or transfusion, vascular complications, myocardial infarction, systemic embolization, and pericardial effusion or tamponade requiring pericardiocentesis or surgery. Multivariate regression and receiver operating characteristic (ROC) analyses were used to assess the relationship between the HFRS and MAE.Results: 28,050 patients (Age = 77.3 ± 6.4 years; Female = 42.6%) were included, and 4.7% experienced in-hospital MAE. Frail patients (HFRS score ≥ 5) constituted 12.5% of the cohort. Frail patients were older and had a more significant proportion of women. Rates of MAE were significantly greater in frail patients (4% vs. 9.7%; p<0.001). Increasing Hospital Frailty Risk Score was associated with a greater risk of in-hospital MAE. The AUC - ROC was 0.63 (Figures: A and B).Conclusions: HFRS predicts adverse events after LAAC. HFRS could be implemented in hospital information systems to facilitate the identification of at-risk patients.