Patient Designation Prior to Total Knee Arthroplasty: How Can Preoperative Variables Impact Postoperative Status?


Journal

The Journal of arthroplasty
ISSN: 1532-8406
Titre abrégé: J Arthroplasty
Pays: United States
ID NLM: 8703515

Informations de publication

Date de publication:
09 2023
Historique:
received: 25 01 2023
revised: 10 04 2023
accepted: 13 04 2023
medline: 21 8 2023
pubmed: 17 8 2023
entrez: 17 8 2023
Statut: ppublish

Résumé

Removal of total knee arthroplasty (TKA) from the inpatient only list has led to a greater focus on outpatient (OP) procedures. However, the impact of OP-centered models in at-risk patients is unclear. Therefore, the current analysis investigated the effect of conversion from OP to inpatient (IP) status on postoperative outcomes and determined which factors put patients at risk for status change postoperatively. We retrospectively reviewed all patients who underwent a primary TKA at our institution between January 2, 2018, and April 26, 2022. All patients included were originally scheduled for OP surgery and were separated based on conversion to IP status postoperatively. Multiple regression analyses were used to determine the significance of all perioperative variables. Modeling via binary logistic regressions was used to determine factors predictive of status conversion. Of the 2,313 patients originally designated for OP TKA, 627 (27.1%) required a stay of 2 midnights or longer. Patients in the IP group had significantly higher facility discharge rates (P < .001) compared to the OP group. Factors predictive of conversion included age of 65 years and older (P < .001), women (P < .001), arriving at the postanesthesia care unit after 12 pm (P < .001), body mass index greater than 30 (P = .004), and Charlson Comorbidity Index of 4 and higher (P = .004). Being the first case of the day (P < .001) and being married (P < .001) were both protective against conversion. Certain intrinsic patient factors may predispose a patient to an IP stay, and an understanding of predisposing factors which could lead to IP conversion may improve perioperative planning moving forward.

Sections du résumé

BACKGROUND
Removal of total knee arthroplasty (TKA) from the inpatient only list has led to a greater focus on outpatient (OP) procedures. However, the impact of OP-centered models in at-risk patients is unclear. Therefore, the current analysis investigated the effect of conversion from OP to inpatient (IP) status on postoperative outcomes and determined which factors put patients at risk for status change postoperatively.
METHODS
We retrospectively reviewed all patients who underwent a primary TKA at our institution between January 2, 2018, and April 26, 2022. All patients included were originally scheduled for OP surgery and were separated based on conversion to IP status postoperatively. Multiple regression analyses were used to determine the significance of all perioperative variables. Modeling via binary logistic regressions was used to determine factors predictive of status conversion.
RESULTS
Of the 2,313 patients originally designated for OP TKA, 627 (27.1%) required a stay of 2 midnights or longer. Patients in the IP group had significantly higher facility discharge rates (P < .001) compared to the OP group. Factors predictive of conversion included age of 65 years and older (P < .001), women (P < .001), arriving at the postanesthesia care unit after 12 pm (P < .001), body mass index greater than 30 (P = .004), and Charlson Comorbidity Index of 4 and higher (P = .004). Being the first case of the day (P < .001) and being married (P < .001) were both protective against conversion.
CONCLUSION
Certain intrinsic patient factors may predispose a patient to an IP stay, and an understanding of predisposing factors which could lead to IP conversion may improve perioperative planning moving forward.

Identifiants

pubmed: 37590392
pii: S0883-5403(23)00455-2
doi: 10.1016/j.arth.2023.04.056
pii:
doi:

Types de publication

Case Reports Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1658-1662

Informations de copyright

Copyright © 2023 Elsevier Inc. All rights reserved.

Auteurs

Jeremiah Thomas (J)

Department of Orthopedic Surgery, NYU Langone Health, New York, New York.

Thomas Bieganowski (T)

Department of Orthopedic Surgery, NYU Langone Health, New York, New York.

Mary Carmody (M)

Department of Orthopedic Surgery, NYU Langone Health, New York, New York.

William Macaulay (W)

Department of Orthopedic Surgery, NYU Langone Health, New York, New York.

Ran Schwarzkopf (R)

Department of Orthopedic Surgery, NYU Langone Health, New York, New York.

Joshua C Rozell (JC)

Department of Orthopedic Surgery, NYU Langone Health, New York, New York.

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