Prognostic significance of postoperative in-hospital complications in elderly patients. I. Long-term survival

Anesth Analg. 2003 Feb;96(2):583-9, table of contents. doi: 10.1097/00000539-200302000-00051.

Abstract

To determine the impact of in-hospital postoperative complications on long-term survival, we prospectively studied consecutive patients > or = 70 yr of age undergoing noncardiac surgery. Potential clinical risk factors were measured and evaluated for their association with the occurrence of long-term postoperative mortality. Long-term survival was determined by using the Kaplan-Meier method. Multivariate correlates of survival were analyzed with the Cox proportional hazards model. The survival of the study group was also compared with the age- and gender-matched general United States population. Five hundred seventeen patients who survived the initial hospitalization were studied. The mean follow-up duration was 28.6 +/- 12.8 mo. One hundred sixty-four of 517 patients (31.7%) were deceased at the time of follow-up. A history of cancer (hazard ratio [HR] 2.44, 95% confidence interval [CI] 1.78-3.38, P < 0.0001), ASA physical status >II (HR 2.27, 95% CI 1.61-3.21, P < 0.0001), neurologic disease (HR 1.59, 95% CI 1.13-2.24, P = 0.008), age (HR 1.42 per decade, 95% CI 1.11-1.81, P = 0.005), postoperative pulmonary complications (HR 2.41, 95% CI 1.30-4.48, P = 0.005), and renal complications (HR 6.07, 95% CI 2.23-16.52, P < 0.0001) were significant independent predictors of decreased long-term survival. Compared with the United States population, patients with complications had a greater increase in mortality risk in the first 3 mo after surgery (HR 7.3 versus general population) than those without complications (HR 2.9, P = 0.023). An effort to improve perioperative care delivery to elderly surgical patients must include measures to minimize in-hospital postoperative complications, particularly those involving the pulmonary and renal systems.

Publication types

  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Age Factors
  • Aged / statistics & numerical data*
  • Aged, 80 and over
  • Female
  • Follow-Up Studies
  • Humans
  • Male
  • Postoperative Complications / mortality*
  • Prognosis
  • Proportional Hazards Models
  • Racial Groups
  • Risk Assessment
  • Sex Factors
  • Surveys and Questionnaires
  • Survival Analysis