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. 2024 Jul 26;16(7):402-411.
doi: 10.4330/wjc.v16.i7.402.

Rates, predictors, and causes of readmission after transcatheter aortic valve replacement in patients with chronic kidney disease

Affiliations

Rates, predictors, and causes of readmission after transcatheter aortic valve replacement in patients with chronic kidney disease

Taha Teaima et al. World J Cardiol. .

Abstract

Background: Transcatheter aortic valve replacement (TAVR) is a revolutionary procedure for severe aortic stenosis. The coexistence of chronic kidney disease (CKD) and TAVR introduces a challenge that significantly impacts patient outcomes.

Aim: To define readmission rates, predictors, and causes after TAVR procedure in CKD stage 1-4 patients.

Methods: We used the national readmission database 2018 and 2020 to look into readmission rates, causes and predictors after TAVR procedure in patients with CKD stage 1-4.

Results: Out of 24758 who underwent TAVR and had CKD, 7892 (32.4%) patients were readmitted within 90 days, and had higher adjusted odds of being females (adjusted odds ratio: 1.17, 95%CI: 1.02-1.31, P = 0.02) with longer length of hospital stay > 6 days, and more comorbidities including but not limited to diabetes mellitus, anemia, and congestive heart failure (CHF).

Conclusion: Most common causes of readmission included CHF (18.0%), sepsis, and complete atrioventricular block. Controlling readmission predictors with very close follow-up is warranted to prevent such high rate of readmission.

Keywords: Chronic kidney disease; Predictors; Rates; Readmission; Transcatheter aortic valve replacement.

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Conflict of interest statement

Conflict-of-interest statement: We have no financial relationships to disclose.

Figures

Figure 1
Figure 1
Flow chart of Readmission rates after transcatheter aortic valve replacement in chronic kidney disease stage 1-4 patient. TAVR: Transcatheter aortic valve replacement; CKD: Chronic kidney disease.
Figure 2
Figure 2
Most common causes of readmission.
Figure 3
Figure 3
Forrest plot for predictors of readmission when adjusted for patient demographics, comorbidities, and hospital characteristics.

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