TABLE 2.

Use of C_T values to predict death from RVF in Kenya, 2006 to 2007^a

CT cut point	Fatal cases (no.)	Nonfatal cases (no.)	Case fatality (%)	PPV (%)b	NPV (%)c	Sensitivity (%)	Specificity (%)	Correct (%)	Treated (%)
Overall	18	36	33.3
<19	5	2	71.4	71.4	75.6	31.3	94.4	75.0	13.5
≥19	11	34	24.4
<20	8	8	50.0	50.0	77.8	50.0	77.8	69.2	30.8
≥20	8	28	22.2
<21	10	9	52.6	52.6	81.8	62.5	75.0	71.2	36.5
≥21	6	27	18.2
<23	11	10	52.4	52.4	83.9	68.8	72.2	71.2	40.4
≥23	5	26	16.1
<24	13	12	52.0	52.0	88.9	81.3	66.7	71.2	48.1
≥24	3	24	11.1
<25	13	14	48.1	48.1	88.0	81.3	61.1	67.3	51.9
≥25	3	22	12.0
<26	14	15	48.3	48.3	91.3	87.5	58.3	67.3	55.8
≥26	2	21	8.7
<27	15	15	50.0	50.0	95.5	93.8	58.3	69.2	57.7
≥27	1	21	4.5
<31	16	22	42.1	42.1	100.0	100.0	38.9	57.7	73.1
≥31	0	14	0.0

^aBoldface type indicates predictor values at the cutoff C_T of 27.0

^bPPV, positive predictive value.

^cNPV, negative predictive value.