RESUMEN
AIMS: Doppler mean gradient (MG) can underestimate aortic stenosis (AS) severity in patients with atrial fibrillation (AF) compared to patients in sinus rhythm (SR), potentially delaying intervention in AF. This study compared outcomes in patients with AF and SR following transcatheter aortic valve replacement (TAVR) and investigated delay in TAVR based on computed tomography aortic valve calcium score (AVCS). METHODS AND RESULTS: Patients who underwent TAVR from 2013 to 2017 for native valve severe AS were identified from an institutional database. Baseline characteristics and overall survival were compared between those in SR and AF. There were 820 patients (mean age 81 years; 41.6% female) included. AF was present in 356 patients. Patients in AF were older (82.2 vs. 80.5, p = 0.003), had lower MG compared to SR patients (42.0 vs. 44.9, p = 0.002) with similar indexed aortic valve area (0.4 vs. 0.4, p = 0.17). Median AVCS was higher in AF (males: AF 2850.0 vs. SR 2561.0, p = 0.044; females: AF 1942.0 vs. SR 1610.5, p = 0.025). Projected AVCS assuming same age of diagnosis was similar between AF and SR. Median survival post-TAVR was worse in AF compared to SR (3.2 vs 5.4 years, log rank p < 0.001). AF, lower MG, higher RVSP, dialysis, diabetes, and significant TR were associated with higher mortality (p < 0.05 for all). CONCLUSION: Older age and higher AVCS in patients with AF compared to SR suggests that AS was both underestimated and more advanced at TAVR referral.
RESUMEN
Acute decompensated aortic stenosis (ADAS) is common. The cumulative burden of ADAS from a clinical, health care resource, and financial perspective is unknown. This study sought to assess the national impact of ADAS compared with electively treated, stable patients with aortic stenosis (non-ADAS). Using the National Readmissions Database between 2016 and 2019, patients with ADAS and non-ADAS were identified using International Classification of Diseases, Tenth Revision codes. Patients with ADAS were propensity-matched to non-ADAS patients (1:2) using age, gender, and Charlson co-morbidity index. We compared in-hospital mortality, length of stay (LOS), health care-associated costs, and 90-day readmission data between the 2 cohorts. A total of 51,498 propensity-matched patients were included in this study: median age 75 years, 64% men. The in-hospital mortality for ADAS was higher than non-ADAS (2.8% vs 1.5%, p <0.0001). The LOS during the index admission was longer for ADAS (9 [5 to 13] vs 4 [2 to 6] days, p <0.0001). The health care-associated costs per patient was greater for ADAS ($55,450.0 [41,860.4 to 74,500.7] vs $43,405.7 [34,218.5 to 56,034.8], p <0.0001). Readmission to hospital within 90 days was more frequent in ADAS (21.1 vs 16.8%, p <0.001). The in-hospital mortality during readmission was higher with ADAS (3.9% vs 2.8%, p = 0.004). The readmission LOS was longer with ADAS (4 [2 to 7] vs 3 [2 to 6] days, p <0.0001). In conclusion, ADAS imposes a significant burden clinically and financially and on health care resources compared with non-ADAS during the index admission and 90-day follow-up. There is an urgent need to predict ADAS and optimize the timing of aortic valve replacement to reduce the incidence and the burden associated with ADAS.
