title: [Multivariate statistical analysis in predicting bronchopulmonary complications after surgical interventions in cancer of the lung].
abstract: A multivaried statistic process, the linear discriminant analysis, applied to VEMS, CV, I.T., FEF 25-75, pH, PaO2, PaCO2, was used by the authors to foresee, in 42 patients suffering from bronchogenous carcinoma, the arising or absence of respiratory complications after operation. With such method, the falsely positive or negative previsions, resulted to be 13 with a total percentage of error as high as 30%. These results suggest that, even when elaborated through the multivaried analysis, the parameters studied do not allow to adequately discriminate the patients who would develop, after operation, bronchopulmonary complications from those who would be exent from them.
mesh_terms: D000328:Adult; D000368:Aged; D001982:Bronchial Diseases / Q000453:epidemiology*; D002283:Carcinoma, Bronchogenic / Q000601:surgery*; D005260:Female; D006801:Humans; D008171:Lung Diseases / Q000453:epidemiology*; D008175:Lung Neoplasms / Q000601:surgery*; D008297:Male; D008875:Middle Aged; D011013:Pneumonectomy; D011183:Postoperative Complications / Q000453:epidemiology; D012129:Respiratory Function Tests; D012306:Risk
vernacular_title: L'analisi statistica multivariata nella previsione delle complicanze broncopolmonari dopo intervento chirurgico per cancro del polmone.