Title of article :
Predicting mortality of patients hospitalized for acutely exacerbated chronic obstructive pulmonary disease
Author/Authors :
Leonello Fuso، نويسنده , , Raffaele Antonelli Incalzi، نويسنده , , Riccardo Pistelli، نويسنده , , Rodolfo Muzzolon، نويسنده , , Salvatore Valente، نويسنده , , Gabriella Pagliari، نويسنده , , Franco Gliozzi، نويسنده , , Giuliano Ciappi، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 1995
Abstract :
Purpose
To identify factors affecting the shortterm prognosis of patients with acutely exacerbated chronic obstructive pulmonary disease (COPD).
Patients and Methods
The 590 patients having COPD as primary disease who were hospitalized in the pneumology unit of a university hospital from 1981 to 1990 were studied. A standardized protocol for the treatment of acutely exacerbated COPD was adopted for all the patients. The patient records were retrospectively analyzed by two observers, and 23 clinical and laboratory variables defining the patient status on admission were collected. Age and arterial gas data were also taken into account, and the outcome mortality was recorded. Interobserver reproducibility was tested by computing the κ coefficient and Spearmanʹs p for dichotomous and continuous variables, respectively. The relationship of clinical and laboratory factors to the outcome was assessed first by univariate analysis and then by a logistic regression analysis assessing the independent predictive role of variables previously shown to be univariately correlated with mortality.
Results
The mortality rate was 14.4%. The logistic regression analysis identified four independent predictors of death: age (odds ratio [OR]1.07; 95% confidence interval [CI]1.04 to 1.11), alveolar-arterial oxygen gradient greater than 41 mm Hg (OR 2.33; 95% CI 1.39 to 3.90), ventricular arrhythmias (OR 1.91; 95% CI 1.10 to 3.31), and atrial fibrillation (OR 2.27; 95% CI 1.14 to 4.51).
Conclusions
Patients with acutely exacerbated COPD having a high risk of death can be identified at the time of admission. Variables reflecting heart dysfunction are important determinants of this risk. Among pulmonary function data, only alveolar-arterial oxygen gradient contributes to the predictive model.
Journal title :
The American Journal of Medicine
Journal title :
The American Journal of Medicine