Abstract Body (Do not enter title and authors here): Background: Permanent Pacemaker (PPM) implantation is recognized as a class I indication treatment for patients with high-grade Atrioventricular (AV) blocks, infra-Hisian conduction blocks, and symptomatic sinus node diseases such as sinus bradycardia. There remains a scarcity of data regarding the impact of dialysis-dependent End-Stage Renal Disease (ESRD) on PPM implantation outcomes, particularly in terms of readmission rates. We aim to evaluate short-term readmissions in dialysis-dependent ESRD patients post-PPM placement, utilizing data from the National Readmission Database (NRD).

Methods: The NRD for the year 2020 was used to identify dialysis-dependent ESRD adults who underwent PPM implantation, employing ICD-10 CM and PCS codes. We focused on outcomes including 30-day readmission rates, length of stay (LOS), total hospital charge (THC), and predictors of readmissions. Both multivariate and univariate logistic and linear regression analyses were employed to assess outcomes and adjust for potential confounders.

Results: Out of 2,497 dialysis-dependent ESRD patients who underwent PPM implantation, 2,353 were discharged alive. Within 30 days of discharge, 540 (22.9%) patients were readmitted. Those readmitted had a longer LOS and higher comorbidity burden but were similar in age, sex, hospital characteristics, and household income status compared to those not readmitted. Readmissions incurred an additional average THC of $103,599 and an average LOS of 7.3 days. The top five causes of readmissions were hypertensive heart disease with heart failure (11.3%), sepsis (9.9%), fluid overload (2.4%), hypoglycemia without coma in type II diabetes mellitus (2.0%), and non-rheumatic aortic valve stenosis (1.7%).

Conclusion:
This analysis reveals that 22.9% of dialysis-dependent ESRD patients who underwent PPM implantation were readmitted within 30 days, resulting in extended LOS and increased THC. These readmissions negatively impact patient outcomes and exacerbate the burden on healthcare resources. Optimizing the management plans for this patient group is crucial to enhancing outcomes and using healthcare resources more effectively.