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.

Health Care Resource, Economic, and Readmission Implications After Acute Decompensated Aortic Stenosis–A Nationwide Study

Ricci, Fabrizio
Penultimo
;
2023-01-01

Abstract

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.
File in questo prodotto:
File Dimensione Formato  
Patel-AJC2023.pdf

accesso aperto

Tipologia: PDF editoriale
Dimensione 587.88 kB
Formato Adobe PDF
587.88 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11564/812551
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? 1
social impact