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However, we did not apply Quantiferon method as a confirmatory/complimentary test for exclusion of latent TB in them.
In an influential study, Call (2004) devised a food-finding task to test for exclusion.
A backward selection procedure was performed using p>0.10 of the likelihood ratio test for exclusion of variables from the model.
‡Number needed to test to find one normal D-dimer test result The study shows that an age adjusted cut-off level for the D-dimer test for exclusion of pulmonary embolism doubles the proportion of older patients (>70 years) in whom pulmonary embolism can be safely excluded in comparison with the conventional cut-off value of 500 μg/l.
We tested for interactions between eGFR and dipstick proteinuria and for eGFR and sex by fitting the respective interaction terms in the age-adjusted models and performing Wald test for exclusion of all interaction terms (in both the 6-month and 6- to-24 month follow-up cohorts).
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The need for the development and evaluation of highly specific serological tests for exclusion of false positive results became imperative.
Variables already included in the logistic regression equation were tested for exclusion on the basis of the probability of a log likelihood test ratio.
We used likelihood ratio test (LRT) for exclusion or inclusion of covariates.
However, the best test for CD exclusion was the triple negative test which had a significantly lower likelihood ratio than the double negative test reults reported by Vermeersch et al. (p=0.000037).
In conclusion, a cut-off value adjusted to age combined with clinical probability greatly increased the utility of the D-dimer test for the exclusion of pulmonary embolism among older patients without reducing safety.
The application of the age adjusted cut-off value combined with a non-high clinical probability greatly increases the utility of a D-dimer test for the exclusion of venous thromboembolism in older patients, while hardly affecting the sensitivity.
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