HIV-related emergencies: frequency, diagnoses, and outcome

J Gen Intern Med. 1993 Sep;8(9):465-9. doi: 10.1007/BF02600105.

Abstract

Objective: To study the clinical epidemiology and outcome of HIV-related emergencies, and to identify clinical predictors of HIV-related emergency hospitalizations.

Design: Case series.

Setting: Emergency facility of a tertiary care teaching hospital.

Patients: 350 HIV/AIDS patients followed at the authors' center.

Measurements and main results: 69 of 356 patients made 92 emergency visits with a frequency of 8% per month and 20% per quarter in a three-month study period. Forty-three visits (47%) resulted in hospitalization and contributed to 70% of total AIDS hospitalizations in the period. The five most common acute diagnoses were pneumonia (n = 22; 24%), fever (n = 15; 16%), upper respiratory infection (n = 9; 10%), cellulitis (n = 6; 7%), and gastroenteritis (n = 6; 7%). Three diagnoses accounted for 70% of acute HIV hospitalizations: pneumonia (n = 19), fever (n = 4), and sepsis (n = 4). Analysis of patient disposition as it relates to the patient's clinical presentation and HIV history using multivariate analysis yielded 1) the presence of dyspnea or cough (p = 0.015) and 2) fever with an abnormal chest x-ray (p = 0.008) as independently predictive of hospitalization.

Conclusion: The findings indicate that HIV/AIDS patients have a frequent need for emergency care and most HIV/AIDS hospitalizations are emergency-related. The acute problems of these patients are related to a limited number of diagnostic categories, and the presence of respiratory or constitutional symptoms with an abnormal chest radiograph are the only reliable factors predictive of hospitalization.

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Chi-Square Distribution
  • Emergency Service, Hospital / statistics & numerical data*
  • Female
  • HIV Infections / complications*
  • HIV Infections / epidemiology
  • Hospitals, Teaching / statistics & numerical data
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • New York City / epidemiology
  • Patient Admission / statistics & numerical data