Predictors of Unplanned Admission After Outpatient Rhytidectomy.

Publication/Presentation Date

10-15-2026

Abstract

BACKGROUND: Rhytidectomy is increasingly performed in ambulatory settings with the goal of a same-day discharge. A subset of patients requires unplanned admission in the immediate postoperative period, resulting in increased costs and workflow disruption. Identifying predictors of unplanned admission may improve perioperative planning.

OBJECTIVES: The aim of this study was to determine risk factors for unplanned admission following rhytidectomy.

METHODS: Retrospective review of patients undergoing rhytidectomy at a tertiary care center between June 2022 and July 2025. Demographics, comorbidities, surgical characteristics, and anesthetic details were compared between patients with same-day discharge and unplanned admission.

RESULTS: Of 129 patients scheduled for outpatient rhytidectomy, 108 (83.7%) were discharged the same day and 21 (16.3%) required unplanned admission. Admission was associated with longer anesthesia duration (574.6 ± 102.4 vs 485.7 ± 80.1 min, P = .001), a greater number of concurrent procedures (mean 4.3 vs 3.3 concurrent procedures, P = .002), obesity (BMI ≥ 30, P = .024), higher American Society of Anesthesiologists Physical Status Classification System (P = .048), and hypertension (P = .016). Dexmedetomidine (P = .016) and hydromorphone (P = .034) were associated with unplanned admission, whereas remifentanil was associated with same-day discharge (P = .010).

CONCLUSIONS: Unplanned admission was associated with longer anesthesia duration, greater number of concurrent procedures, select anesthetic agents, and comorbidities. Incorporating these factors into perioperative planning may improve discharge predictability and resource allocation.

LEVEL OF EVIDENCE: 4 (THERAPEUTIC): For image description, please refer to the figure legend and surrounding text.

Volume

46

Issue

11

First Page

1221

Last Page

1227

ISSN

1527-330X

Disciplines

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

PubMedID

42322187

Department(s)

Administration and Leadership

Document Type

Article

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