Frailty: an outcome predictor for elderly gynecologic oncology patients

Gynecol Oncol. 2012 Jul;126(1):20-4. doi: 10.1016/j.ygyno.2012.04.019. Epub 2012 Apr 19.

Abstract

Objectives: The objective of this pilot study was to determine if frailty predicts surgical complications among elderly women undergoing gynecologic oncology procedures.

Methods: A cohort of gynecologic oncology patients age ≥ 65, undergoing surgery between March and December 2011 was identified. Frailty was evaluated using a validated assessment tool. The primary outcome measure was 30 day postoperative complication rate.

Results: Forty women were approached for study entry and 37 (92%) enrolled. The mean age was 73 years (range 65-95). The majority of women had a malignancy and underwent a major abdominal surgical procedure. Twenty-one women (57%) were not frail, 10 (27%) were intermediately frail and 6 (16%) were frail. There was no difference in age or prevalence of medical comorbidities between groups. Frail women had a significantly higher BMI compared to intermediately frail and not frail women, (36.0, 31.5 and 26.1 kg/m(2), p=0.02). The rate of 30-day surgical complications increased with frailty score and was 24%, versus 67% for women who were not frail as compared to the frail (p=0.04).

Conclusions: Pre-operative frailty assessment is well accepted by gynecologic oncology patients and feasible in a clinic setting. Frail women had a higher BMI, indicating that low body weight is not a marker for frailty, and had a significantly higher rate of 30-day postoperative complications in this pilot study. Initial findings support the concept of measuring frailty as a possible predictor for postoperative morbidity that will allow for improved patient counseling and decision making.

MeSH terms

  • Age Factors
  • Aged
  • Aged, 80 and over
  • Female
  • Frail Elderly*
  • Genital Neoplasms, Female / surgery*
  • Geriatric Assessment
  • Gynecologic Surgical Procedures / adverse effects*
  • Gynecologic Surgical Procedures / statistics & numerical data*
  • Humans
  • Outcome Assessment, Health Care
  • Pilot Projects
  • Postoperative Complications / etiology
  • Predictive Value of Tests
  • Risk Factors