Short- and long-term outcomes of older patients in intermediate care units

Intensive Care Med. 2006 Jul;32(7):1052-9. doi: 10.1007/s00134-006-0170-1. Epub 2006 May 9.

Abstract

Objective: To evaluate short- and long-term outcomes of elderly patients (>or=65 years) treated at an intermediate care unit (IMCU) and to identify outcome predictors.

Design and setting: Prospective observational study in the IMCU of a university teaching hospital.

Participants: We studied 412 patients over 8 months, classified into three groups: under 65years (control group, n=158), 65-80 (n=186), and >80 (n=68).

Measurements: At admission: APACHE II, TISS-28 first day, Charlson Index, diagnosis, and prior Barthel Index.

Outcome measures: in-hospital mortality, length of stay, discharge destination, and 2-year mortality and readmissions. Data analysis included multivariate logistic regression and receiver operating characteristics area under the curve (ROC AUC).

Results: No statistically significant differences between groups were observed in hospital mortality (14.1%), discharge to a long-term facility (2.7%), or 2-year readmissions (1.2+/-2.1). However, hospital stay was longer in patients aged 65-80years (14 vs.10 days) and 2-year mortality was higher in those 65 or over (34% vs.10.6%). In the overall series in-hospital mortality was predicted by APACHE II, first-day TISS-28, and diagnosis (ROC AUC 0.81), and 2-year mortality by Charlson Index and age (ROC AUC 0.77). In the elderly patients 2-year mortality was predicted by Charlson and Barthel indices (ROC AUC 0.70).

Conclusions: Illness severity and therapeutic intervention at admission to IMCU were predictors of short-term mortality, whereas the strongest predictor of long-term mortality was comorbidity. Our results suggest that comprehensive assessment of elderly patients at admission to IMCUs may improve outcome prediction.

MeSH terms

  • APACHE
  • Aged
  • Aged, 80 and over
  • Chi-Square Distribution
  • Female
  • Hospital Mortality
  • Humans
  • Intermediate Care Facilities / statistics & numerical data*
  • Length of Stay / statistics & numerical data
  • Logistic Models
  • Male
  • Outcome Assessment, Health Care*
  • Patient Readmission / statistics & numerical data
  • Prospective Studies
  • ROC Curve
  • Spain / epidemiology
  • Survival Analysis