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Prolonged Length of Stay After Robotic Prostatectomy: Causes and Risk Factors.
Strother, Marshall C; Michel, Katharine F; Xia, Leilei; McWilliams, Kellie; Guzzo, Thomas J; Lee, Daniel J; Lee, David I.
Afiliação
  • Strother MC; Department of Surgery, Division of Urology, University of Pennsylvania Health System, Philadelphia, PA, USA.
  • Michel KF; Department of Surgery, Division of Urology, University of Pennsylvania Health System, Philadelphia, PA, USA. Katharine.Michel@pennmedicine.upenn.edu.
  • Xia L; Department of Surgery, Division of Urology, University of Pennsylvania Health System, Philadelphia, PA, USA.
  • McWilliams K; Thomas Jefferson University Hospitals, Philadelphia, PA, USA.
  • Guzzo TJ; Department of Surgery, Division of Urology, University of Pennsylvania Health System, Philadelphia, PA, USA.
  • Lee DJ; Department of Surgery, Division of Urology, University of Pennsylvania Health System, Philadelphia, PA, USA.
  • Lee DI; Department of Surgery, Division of Urology, University of Pennsylvania Health System, Philadelphia, PA, USA.
Ann Surg Oncol ; 27(5): 1560-1567, 2020 May.
Article em En | MEDLINE | ID: mdl-32103416
ABSTRACT

BACKGROUND:

Robot-assisted radical prostatectomy (RARP) can generally be performed with 1-2 nights of postoperative monitoring before discharge from the hospital. Little is known about what causes individual patients to remain in hospital beyond the second postoperative day.

METHODS:

Data for RARPs performed between 2013 and 2015 were extracted from the American College of Surgeons National Surgical Quality Improvement Program (NSQIP) database. The fraction of cases with prolonged length of stay (PLOS) that can be reasonably attributed to complications was examined. Logistic regression was performed to identify risk factors for PLOS in the overall population and separately in the population of patients with PLOS without any perioperative complications.

RESULTS:

Of 11,440 patients, 10,342 (90.4%) were discharged on postoperative days 0-2; 80.6% (887/1101) of patients with PLOS did not experience any perioperative complications. The most common complication was bleeding requiring transfusion, but this was present in only 5.6% (62/1101) of patients with PLOS. Logistic regression identified predictors of PLOS as age, race, wound class, American Society of Anesthesiologists class, smoking, diabetes, dyspnea, dependent functional health status, congestive heart failure, operative time, and pelvic lymph node dissection. Results of this regression were insensitive to the exclusion of patients who experienced no perioperative complications.

CONCLUSIONS:

This study utilizes logistic regression on NSQIP data to identify risk factors for PLOS after RARP and, in particular, to evaluate the role of postoperative complications in PLOS. The analysis shows that postoperative complications account for a small minority of cases of PLOS after RARP.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Complicações Pós-Operatórias / Prostatectomia / Neoplasias da Próstata / Procedimentos Cirúrgicos Robóticos / Tempo de Internação Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Humans / Male / Middle aged País/Região como assunto: America do norte Idioma: En Revista: Ann Surg Oncol Assunto da revista: NEOPLASIAS Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Complicações Pós-Operatórias / Prostatectomia / Neoplasias da Próstata / Procedimentos Cirúrgicos Robóticos / Tempo de Internação Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Humans / Male / Middle aged País/Região como assunto: America do norte Idioma: En Revista: Ann Surg Oncol Assunto da revista: NEOPLASIAS Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos