Table 4

 Results of logistic regression analysis

Independent variableCut off concentration (ng/l)Odds ratio (95% CI, p value)Diagnostic accuracy*Incorrect classification
False positiveFalse negative
*Diagnostic accuracy of the statistical model including all the given covariates simultaneously.
Odds ratios (95% CI, p value) are related to the two analytes. Diagnostic accuracy and false positive and false negative results of classification are derived from the respective whole statistical model. Observed frequencies: patients with dyspnoea caused by CHF, n = 137; patients with dyspnoea attributable to other causes, n = 114.
Prediction of symptomatic CHF, unadjusted model
    BNP29525 (13 to 49, <0.001)83%n = 16n = 27
    NT-proBNP82528 (14 to 55, <0.001)84%n = 22n = 18
Prediction of symptomatic CHF, adjusted model 1 (controlling for age, sex, and eGFR)
    BNP29527 (13 to 56, <0.001)83%n = 16n = 27
    NT-proBNP82529 (14 to 61, <0.001)84%n = 22n = 18
Prediction of symptomatic CHF, adjusted model 2 (controlling for age, sex, eGFR, history of CHF, and the presence of orthopnoea, PND, nocturnal cough, JVD, pulmonary rales, third heart sound, and peripheral oedema)
    BNP29510 (4 to 24, <0.001)87%n = 16n = 18
    NT-proBNP82513 (6 to 32, <0.001)87%n = 19n = 15