[Prediction of XXXX from simple, noninvasive parameters using discriminant analysis].

@entity1 @entity101 @entity120 @entity3311
Based on a large number of males with @entity3311 , the usefulness of discriminant analysis for prediction of @entity120 has been investigated. Two groups were formed: 227 @entity1 with @entity120 ; 145 @entity1 without @entity120 Applying the discriminant analysis, 9 variables were selected step by step; 6 out of them were measurably contributing to the discrimination of both groups. As relevant turned out diameter of the right descending pulmonary artery, FVC% predicted, FEV1% FVC, pa2, systolic blood pressure, and RV% TLC. In a procedure of reclassification, based upon the calculated discriminant functions, 82,6% of the cases were correctly classified (sensitivity 80,6%, specificity 86,2%). A pocket calculator programme following the method by L  uter gave identical results. The application of the discriminant function to a new group of 147 unselected @entity1 with @entity3311 corroborated the foregoing results. 79,1% of all @entity1 with overt or latent pulmonary hyper-tension were detected. For overt @entity101 the sensitivity was 88,4%, for latent @entity101 62,5%. Using this method, decision-making regarding heart catheterism can be improved. It must be stressed, however, that this discriminant function is not valid for @entity1 and for other diagnosis groups in males.
