Feasibility of Postoperative Day One or Day Two Discharge After Robotic Cardiac Surgery.

Publication/Presentation Date

9-1-2023

Abstract

INTRODUCTION: The robotic platform reduces the invasiveness of cardiac surgical procedures, thus facilitating earlier discharge in select patients. We sought to evaluate the characteristics, perioperative management, and early outcomes of patients who underwent postoperative day 1 or 2 (POD1-2) discharge after robotic cardiac surgery at our institution.

METHODS: Retrospective review of 169 patients who underwent robotic cardiac surgery at our facility between 2019 and 2021 identified 57 patients discharged early on POD1 (n = 19) or POD2 (n = 38) and 112 patients who underwent standard discharge (POD3 or later). Relevant data were extracted and compared.

RESULTS: In the early discharge group, median patient age was 62 [IQR: 55, 66] (IQR = interquartile range) years, and 70.2% (40/57) were male. Median Society of Thoracic Surgeons predictive risk of mortality score was 0.36 [IQR: 0.25, 0.56] %. The most common procedures performed were mitral valve repair [66.6%, (38/57)], atrial mass resection [10.5% (6/57)], and coronary artery bypass grafting [10.5% (6/57)]. The only significant differences between the POD1 and POD2 groups were shorter operative time, higher rate of in-operating room extubation, and shorter ICU length of stay in the POD1 group. Lower in-hospital morbidity and comparable 30-day mortality and readmission rates were observed between the early and standard discharge groups.

CONCLUSIONS: POD1-2 discharge after various robotic cardiac operations afforded lower morbidity and similar 30-day readmission and mortality rates compared to discharge on POD3 or later. Our findings support the feasibility of POD1-2 discharge after robotic cardiac surgery for patients with low preoperative risk, an uncomplicated postoperative course, and appropriate postoperative management protocols.

Volume

289

First Page

35

Last Page

41

ISSN

1095-8673

Disciplines

Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods

PubMedID

37079964

Department(s)

Administration and Leadership

Document Type

Article

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