. 2020 Jan 10;15(1):e0227281. doi: 10.1371/journal.pone.0227281

Table 2. Rametrix^TM PRO results showing the ability to predict whether an unknown specimen from a PD patient is urine or spent dialysate.

Percent Variability Explained by Principal Components	Number of Principal Components used in DAPC Model	Accuracy^*	Sensitivity^*	Specificity^*
90%	4	97.8%	98.6%	97.0%
95%	5	97.2%	98.1%	96.5%
99%	10	98.7%	98.9%	98.5%
99.9%	50	98.2%	98.9%	97.5%

*Predictions were from a leave-one-out training/testing routine.

Table 2. RametrixTM PRO results showing the ability to predict whether an unknown specimen from a PD patient is urine or spent dialysate.