Outcomes of small bowel obstruction in patients with previous gynecologic malignancies

Am J Surg. 2012 Apr;203(4):472-9. doi: 10.1016/j.amjsurg.2011.07.013. Epub 2011 Dec 15.

Abstract

Background: Features predictive of malignant small bowel obstructions among patients with previous gynecologic malignancies remain undetermined.

Methods: Predictors of malignancy and mortality among patients with gynecologic malignancies and bowel obstructions were identified through a retrospective review of records.

Results: Malignancy was noted among 69.8% of 189 patients included in the analysis. Advanced-stage cancer (P = .006, odds ratio [OR] = 6.62), ovarian malignancy (P = .001, OR = 25.64), and early-onset obstruction (P = .014) predicted malignant etiology, whereas chemotherapy (P < .001, OR = .02) or radiation therapy (P = .027, OR = .09) predicted benign obstruction. The average survival was 9 months versus 49 months for malignant and benign obstructions, respectively. Ovarian cancer (P = .009, hazard ratio [HR] = 4.45), anemia (P = .001, HR = 1.11), and renal dysfunction (P < .001, HR 1.81) impaired survival.

Conclusions: Palliative care should be considered for patients with advanced-stage cancer, ovarian malignancy, and a shorter time interval between cancer diagnosis and bowel obstruction, especially in the setting of anemia and renal dysfunction.

Publication types

  • Comparative Study

MeSH terms

  • Adult
  • Aged
  • Cause of Death
  • Cohort Studies
  • Disease-Free Survival
  • Female
  • Follow-Up Studies
  • Genital Neoplasms, Female / mortality
  • Genital Neoplasms, Female / pathology
  • Genital Neoplasms, Female / surgery*
  • Humans
  • Intestinal Obstruction / etiology
  • Intestinal Obstruction / mortality*
  • Intestinal Obstruction / pathology*
  • Intestinal Obstruction / therapy
  • Intestine, Small / pathology*
  • Middle Aged
  • Odds Ratio
  • Palliative Care / methods*
  • Predictive Value of Tests
  • Proportional Hazards Models
  • Registries
  • Retrospective Studies
  • Risk Assessment
  • Survival Analysis
  • Time Factors