Borderline ovarian tumor in women aged ≥ 65 years: impact on recurrence and survival

Eur J Obstet Gynecol Reprod Biol. 2015 Jan:184:38-42. doi: 10.1016/j.ejogrb.2014.10.001. Epub 2014 Oct 14.

Abstract

Objective: Borderline ovarian tumor (BOT) is uncommon in women with advanced age. The authors investigated the characteristics and treatment outcomes of women with BOT ≥ 65 years of age.

Study design: A hospital-based tumor registry was used to identify retrospectively patients with BOT who were treated between 1996 and 2011. Patients were divided into two cohorts: women aged <65 years and women aged ≥ 65 years. Recurrence and survival was examined using the Kaplan-Meier method. Multivariate Cox proportional hazards model was used to estimate hazard ratios with 95% confidence intervals (95% CI).

Results: In total, 364 patients were identified, including 326 patients aged <65 years and 38 patients aged ≥ 65 years. The elderly patients had more comorbidities (P < 0.001), larger tumor size at diagnosis (P = 0.001), more perioperative complications (P = 0.001), and longer postoperative hospital stay (P < 0.001). In a multivariate model, the hazard ratios for recurrence and disease-related death in patients aged ≥ 65 years were 2.53 (95% CI, 1.03-6.23) and 7.66 (95% CI, 1.09-53.95), respectively.

Conclusions: Characteristics and survival of patients with BOTs aged ≥ 65 years differ distinctly from those of patients aged <65 years. Old age was an independent poor prognostic factor of recurrence and disease-related death.

Keywords: Borderline ovarian tumor; Elderly; Recurrence; Survival.

MeSH terms

  • Adolescent
  • Adult
  • Age Factors
  • Aged
  • Aged, 80 and over
  • Child
  • Disease-Free Survival
  • Female
  • Humans
  • Middle Aged
  • Neoplasm Recurrence, Local / mortality
  • Neoplasm Recurrence, Local / pathology*
  • Neoplasms, Glandular and Epithelial / mortality
  • Neoplasms, Glandular and Epithelial / pathology*
  • Ovarian Neoplasms / mortality
  • Ovarian Neoplasms / pathology*
  • Prognosis
  • Proportional Hazards Models
  • Survival Rate
  • Young Adult