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For each LFT variable, we identified the cutoff that maximized the Youden index, and we computed the sensitivity and specificity of this cutoff for predicting weaning failure.
Specifically, we calculated the statistic of interest (e.g. positive agreement) based on each possible cutoff for the assay in question, and identified the cutoff that gave the highest value of the statistic.
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The purpose of the study was to investigate the validity of the Profilo di Attività e Partecipazione Vocale (PAPV) and to identify the cutoff point of the total score that discriminates dysphonic from vocally healthy individuals.
The Youden index was used to identify the cutoff values for presepsin levels that may have diagnostic significance.
Different cutoff points have been reported when the ROC curve was used to identify the cutoff point for diagnosing type 2 diabetes or prediabetes (11).
Optimal cutoff values for each test were established by identifying the cutoff at which the sensitivity and specificity of the test were simultaneously maximized.
After reciprocal transformation of the fibrinogen concentration (1/fibrinogen), a receiver operating characteristic (ROC) curve was generated, and the area under the curve (AUC) was calculated to identify the cutoff value of fibrinogen to predict mortality in patients with AoCLF.
ROC curves were generated for each of these new variables and used to identify the cutoff points that defined the ranges of scores for 90-day in-hospital mortality for each predictor.
This study does not identify the cutoff for LSM between METAVIR F0 and F1-F4 because of the lack of well-established criteria for recruiting true cases with F0 fibrosis without liver biopsy.
The AR ER ratio was calculated using a manual receiver operator characteristic analysis where we investigated the ratio that produced the best difference between good and poor prognosis in relation to disease-free survival (DFS) to identify the cutoff point for this variable.
To identify the cutoff score on a 0 10 scale that maximises sensitivity and specificity in detecting cases of more severe fatigue, Wagner et al (2003a) administered a single-item screening for fatigue and a longer measure of fatigue (Functional Assessment of Cancer Therapy – Fatigue subscale, FACT-F) to 105 outpatients who were receiving chemotherapy.
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