Nonagenarian surgical admissions for the acute abdomen: who benefits?

Int J Clin Pract. 2010 Oct;64(11):1570-1572. doi: 10.1111/j.1742-1241.2010.02468.x.

Abstract

Introduction: Patients 90 years and older form an increasing proportion of the general population. Outcomes of their acute surgical admissions are not well documented.

Methods and materials: Surgical management of 49 consecutive nonagenarian admissions (median age: 92 years) with an acute abdomen was compared with the management and outcome of 50 younger patients (median age: 53.5) admitted with a suspected acute abdomen over the same period.

Results: Nonagenarian group consisted of mainly women (71% vs. 50%; p = 0.003). The use of laboratory investigations and imaging was similar for the patients aged over 90 and the younger patients, although proportionately fewer nonagenarians were investigated by abdominal CT scan (8% vs. 24%). Of the 49 nonagenarian patients admitted, only 4% (n = 2) were operated on. In contrast, 38% (n = 19) of patients aged 50-59 (p = 0.0001) underwent a surgical intervention. A much greater proportion of nonagenarians died in hospital than patients in the 50-59 comparator group (16% nonagenarians vs. 4% comparator patients; p = 0.04). The very large majority of survivors in both age groups were discharged back to their preadmission domicile [39 (95%) nonagenarians vs. 46 (96%) comparator 50-59 year group].

Conclusions: In this study, when compared with younger patients, very few nonagenarian patients (2%) with a suspected acute abdomen benefited from surgical admission. Instead, the large majority of nonagenarians either died or were discharged back to their home address without surgery.

Publication types

  • Comparative Study

MeSH terms

  • Abdomen, Acute / etiology
  • Abdomen, Acute / surgery*
  • Aged, 80 and over / statistics & numerical data*
  • Clinical Laboratory Techniques / statistics & numerical data
  • Diagnostic Imaging / statistics & numerical data
  • England
  • Female
  • Hospitalization / statistics & numerical data*
  • Humans
  • Male
  • Middle Aged
  • Sex Factors
  • Treatment Outcome