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Risk Factors for Readmission in Excisional Hemorrhoidectomy at a Tertiary Teaching Center.
Siggins, Lauren A; Fagan, Paul V B; Kim, Hyun Min; Lin, Anthony Y.
Afiliación
  • Siggins LA; Department of Surgery, Te Whatu Ora - Capital, Coast and Hutt Valley, Wellington, New Zealand.
  • Fagan PVB; Department of Surgery, Te Whatu Ora - Capital, Coast and Hutt Valley, Wellington, New Zealand.
  • Kim HM; Dean's Department, University of Otago, Wellington, New Zealand.
  • Lin AY; Department of Surgery, Te Whatu Ora - Capital, Coast and Hutt Valley, Wellington, New Zealand; Department of Surgery and Anesthesia, University of Otago, Wellington, New Zealand. Electronic address: tony.lin@otago.ac.nz.
J Surg Res ; 297: 128-135, 2024 May.
Article en En | MEDLINE | ID: mdl-38503194
ABSTRACT

INTRODUCTION:

Unplanned readmission is often seen after excisional hemorrhoidectomy. This study aims to explore associations between patient and operative factors, and readmission rates in excisional hemorrhoidectomy.

METHODS:

We performed a retrospective analysis of all excisional hemorrhoidectomies performed in Capital and Coast District Health Board for an 8-year period from January 1, 2012, to December 31, 2020. The primary outcome measure was 30-day readmissions post hemorrhoidectomy. Univariate and multivariable logistic regression analyses were performed to identify risk factors to readmisson. A decision tree model was designed to further look at the interactions between risk factors.

RESULTS:

There were a total 370 patients undergoing 389 excisional hemorrhoidectomies over the study period. There were 47 (12.1%) readmissions. The commonest reasons for readmission were pain (48.9%) and bleeding (38%). 17% of readmitted patients required operative intervention. Readmission was associated with the use of advanced energy devices (OR 2.21; P = 0.027). Trainees were more likely to use advance energy devices than consultants (51% versus 38%, P = 0.010). Consultants were involved in more procedures requiring a removal of 3 pedicles or more than trainees (43% versus 30%, P = 0.010). A decision tree model predicts readmission based on primary operator experience, age, advanced energy device use, and patient ethnicity.

CONCLUSIONS:

Two risk models are presented showing the complex relationship between the factors associated with readmission after hemorrhoidectomy. Advanced energy device use was associated with an increased risk of readmission after hemorrhoidectomy in our population. Future work could involve targeted interventions to patients at increased risk of readmission such as preprocedural and postprocedural information, early interval follow-up and targeted analgesia regimes.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Hemorreoidectomía Límite: Humans Idioma: En Revista: J Surg Res Año: 2024 Tipo del documento: Article País de afiliación: Nueva Zelanda

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Hemorreoidectomía Límite: Humans Idioma: En Revista: J Surg Res Año: 2024 Tipo del documento: Article País de afiliación: Nueva Zelanda