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Sensitivity and specificity values of the best cut-off variable were also calculated, while the method of DeLong, DeLong and Clarke-Pearson was used to compare areas.
Demographic, clinical, and dialysis-related data of 57 ESRD patients on hemodialysis over 24 months in 6 temporal segments were analyzed with serum albumin as a continuous, and categorical outcome (with 3.8 g/dl as cut-off) variable, against 13 potential independent variables [4 demographic factors, 3 nutrition-related, and 5 morbidity-related parameters, and % urea reduction ratio (URR)].
With LDH levels and WBC count being used as a cut-off variable (WBC ⩾8.000 per μl and LDH ⩽250 U l−1) measured at baseline, the use of these two objective laboratory prognostic factors seems to be advantageous (Sorbye et al, 2007).
It has been notoriously difficult to define cut-off variables with regard to vital parameters in clinical trials and practice [ 14– 16].
Additionally, this final measure was also converted into two cut-off variables: AGE30, containing two groups: early (≤30 days) or late (>30 days) age at diagnosis; and AGE14, comprising two groups: early (≤14 days) or late (>14 days) age at diagnosis.
These conflicting and inconsistent results in the literature could perhaps reflect the different methodologies used to analyze the data (as an example by selecting different cut off values for variables), different patient populations investigated, different QoL questionnaires used, or alternatively, different selection of covariates to be included in the regression analysis [ 32].
Taking colon cancer into consideration, some studies which reported predictability of survival using pre-operative albumin levels in serum, reported variable cut off values of albumin as a predictor of survival [ 18, 19].
Deficit cut off values for continuous variables by sex and source of cut off.
In the clinical setting, ABI is used as a dichotomous variable, with cut off values of ≤ 0.90 or ≤ 0.95 employed to confirm the presence of PAD.
After replacing AHI cut off 5 (events/hour) with AHI cut off 15 as the dependent variable in the model, glucose tolerance was not significantly associated with AHI ≥ 15.
For the analysis using a cut off of 1 400 the variables cleaning a designated calving area, calf rearing system, horse on the farm and leptospira vaccination showed a p-value ≤0.25.
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