The low occurrence, nonspecific signs and symptoms, and high rate of associated morbidity and mortality of pulmonary embolus (PE) create major problems in the prevention, diagnosis, and treatment of PE.
The purpose of this study was to analyze the frequency and outcome of PE in an entire state's trauma population using a large, population-based, hospital discharge data base.
With the inclusion of an entire population, the reported incidence, high risk groups of patients, and specific risk factors regarding PE were assessed.
A multivariate, logistic regression model was created from the data to determine predictive power of selected risk factors in patients at risk.
The data source was a statewide, hospital discharge data base that includes data on all hospitalized patients for all of the hospitals in North Carolina.
Using primary discharge diagnosis and nine additional ICD-9 coded diagnoses from the discharge abstract, patients were selected by presence of diagnostic codes for traumatic injury (800-959.9) and PE (415.1).
Statistical analysis was performed using univariate and multivariate analysis to determine significant risk factors and to create a candidate model for the prediction of risk in the study population.
Of 318,554 patients, 952 (0.30%) had a recorded diagnosis of PE.
The mortality rate for patients with PE (26%) was 10 times higher than the mortality rate in patients without PE (2.6%). (...)
Mots-clés Pascal : Traumatisme, Homme, Complication, Embolie pulmonaire, Incidence, Pronostic, Epidémiologie, Facteur risque, Valeur prédictive, Appareil respiratoire pathologie, Appareil circulatoire pathologie, Vaisseau sanguin pathologie
Mots-clés Pascal anglais : Trauma, Human, Complication, Pulmonary embolism, Incidence, Prognosis, Epidemiology, Risk factor, Predictive value, Respiratory disease, Cardiovascular disease, Vascular disease
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 97-0147991
Code Inist : 002B11C. Création : 21/05/1997.