http://www.cnr.it/ontology/cnr/individuo/prodotto/ID62796

Simple and accurate prediction of the clinical probability of pulmonary embolism (Articolo in rivista)

Type

Articolo in rivista (Classe)
Prodotto della ricerca (Classe)

Label

Simple and accurate prediction of the clinical probability of pulmonary embolism (Articolo in rivista) (literal)

Anno

2008-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

10.1164/rccm.200802-207OC (literal)

Alternative label

Miniati M.; Bottai M.; Monti S.; Salvadori M.; Serasini L.; Passera M. (2008)
Simple and accurate prediction of the clinical probability of pulmonary embolism
in American journal of respiratory and critical care medicine
(literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

Miniati M.; Bottai M.; Monti S.; Salvadori M.; Serasini L.; Passera M. (literal)

Pagina inizio

290 (literal)

Pagina fine

294 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

http://ajrccm.atsjournals.org/content/178/3/290 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

178 (literal)

Rivista

American journal of respiratory and critical care medicine (Rivista)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note

In: American Journal of Respiratory and Clinical Care Medicine, vol. 178 pp. 290 - 294. American Thoracic Society, 2008. (literal)

Note

ISI Web of Science (WOS) (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

Università di Firenze, Dipartimento Area Critica Medico-Chirurgica, I-50134 Firenze, Italia; University South Carolina, Arnold School Public Health, Columbia, SC 29208 USA; Istituto di Fisiologia Clinica del CNR, Pisa, Italia (literal)

Titolo

Simple and accurate prediction of the clinical probability of pulmonary embolism (literal)

Abstract

Rationale Clinical probability assessment is a fundamental step in the diagnosis of pulmonary embolism. Objective To develop a predictive model for pulmonary embolism based on clinical symptoms, signs, and the interpretation of the electrocardiogram. Methods The model was developed from a database of 1100 patients with suspected pulmonary embolism of whom 440 had the disease confirmed by angiography or autopsy findings. It was validated in an independent sample of 400 patients with suspected pulmonary embolism (71% inpatients). Easy-to-use software was developed for computing the clinical probability on palm computers and mobile phones. Results The model comprises 16 variables of which 10 (older age, male gender, prolonged immobilization, history of deep vein thrombosis, sudden onset dyspnea, chest pain, syncope, hemoptysis, unilateral leg swelling, electrocardiographic signs of acute cor pulmonale) are positively associated, and 6 (prior cardiovascular or pulmonary disease, orthopnea, high fever, wheezes or crackles on chest auscultation) are negatively associated with pulmonary embolism. In the validation sample, 165 (41%) of 400 patients had pulmonary embolism confirmed by angiography. The prevalence of pulmonary embolism was 2% when the predicted clinical probability was slight (0 to 10%), 28% when moderate (11 to 50%), 67% when substantial (51 to 80%), and 94% when high (81 to 100%). There was no significant difference between inpatients and outpatients with respect to the prevalence of pulmonary embolism in the four probability categories. Conclusions The proposed model is simple and accurate, and it may aid physicians when assessing the clinical probability of pulmonary embolism. (literal)

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