. Author manuscript; available in PMC: 2017 Aug 31.

Published in final edited form as: Clin Chim Acta. 2015 Sep 11;450:342–348. doi: 10.1016/j.cca.2015.09.012

Table 4.

Cut-off, sensitivity, specificity and AUC for biomarkers of MMA/PA metabolism defects. 95% confidence intervals in parentheses

	Cut-off	Sensitivity	Specificity	AUC
C3	≥ 5.633	65.22%	99.51%	0.824
C3	≥ 5.633	(42.7%; 83.6%)	(98.6%; 99.9%)	(0.724; 0.923)
C17	≥ 0.092	91.30%	99.84%	0.956
C17	≥ 0.092	(72.0%; 98.9%)	(99.1%; 100%)	(0.897; 1.000)
C3/C0	≥ 0.339	52.17%	99.02%	0.756
C3/C0	≥ 0.339	(30.6%; 73.2%)	(97.9%; 99.6%)	(0.652; 0.860)
C3/C4	≥ 29.376	52.17%	99.35%	0.758
C3/C4	≥ 29.376	(30.6%; 73.2%)	(98.3%; 99.8%)	(0.653; 0.862)
C3/C2	≥ 1.120	4.35%	99.84%	0.521
C3/C2	≥ 1.120	(0.11%; 21.9%)	(99.1%; 100%)	(0.478; 0.564)
C3/C16	≥ 2.338	65.22%	98.69%	0.820
C3/C16	≥ 2.338	(42.7%; 83.6%)	(97.4%; 99.4%)	(0.720; 0.919)
C3/Met	≥ 0.504	56.52%	99.84%	0.782
C3/Met	≥ 0.504	(34.5%; 76.8%)	(99.1%; 100%)	(0.678; 0.885)