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Preoperative assessment using the five-factor modified frailty index: A call for standardized preoperative assessment and prehabilitation services in gynecologic oncology.
AlHilli, Mariam M; Schold, Jesse D; Kelley, Johanna; Tang, Anne S; Michener, Chad M.
Afiliação
  • AlHilli MM; Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Cleveland Clinic, Cleveland, OH, USA. Electronic address: alhillm@ccf.org.
  • Schold JD; Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA; Center for Populations Health Research, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.
  • Kelley J; Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Cleveland Clinic, Cleveland, OH, USA.
  • Tang AS; Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA; Center for Populations Health Research, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.
  • Michener CM; Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Cleveland Clinic, Cleveland, OH, USA.
Gynecol Oncol ; 166(3): 379-388, 2022 09.
Article em En | MEDLINE | ID: mdl-35863992
OBJECTIVE: To evaluate if the 5-factor modified frailty index (mFI) is associated with postoperative complications, readmissions or non-home discharge in gynecologic cancer patients undergoing surgery. METHODS: Patients with a diagnosis of gynecologic cancer (cervical, uterine, or ovarian cancer) who underwent surgery between 2014 and 2018 were identified through the National Surgical Quality Improvement Program (NSQIP) database. The 5-factor mFI was applied and patients classified into 6 categories (mFI groups 0,1,2, 3, 4 and 5). The incidence of 30-day complications, readmissions and non-home discharge was evaluated. Multivariable logistic regression models were used to determine the association between mFI category and readmissions/ complications. Adjusted probabilities of events were calculated based on patient characteristics. RESULTS: At total of 31,181 gynecologic cancer cases were included in the analysis: N = 2968 (9.4%) cervical, N = 20,862 (66.4%) uterine, and N = 7351 (23.4%) ovarian cancers. Of all patients, 46.1% were in category 0, 36.5% category 1, and 1% category 3-5. Factors associated with increased mFI included older age, African American race, laparoscopic surgery and obesity. A significant dose-response relationship between higher mFI and readmission and 30-day complications was noted on adjusted multivariable analysis (adjusted OR 2.37 (1.65-3.45) and 2.10 (1.59-2.75) for readmissions and complications, respectively, in mFI category 3-5). These associations were consistent within each cancer type. CONCLUSIONS: The 5-factor mFI universally predicts postoperative readmissions, 30-day complications and non-home discharge in patients with gynecologic cancer. Incorporation of mFI into routine preoperative assessment can identify patients for non-surgical treatments, prehabiliatation and short term home assessments.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fragilidade / Neoplasias dos Genitais Femininos Tipo de estudo: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Revista: Gynecol Oncol Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fragilidade / Neoplasias dos Genitais Femininos Tipo de estudo: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Revista: Gynecol Oncol Ano de publicação: 2022 Tipo de documento: Article