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. Author manuscript; available in PMC: 2018 Jan 1.
Published in final edited form as: Sex Transm Dis. 2017 Jan;44(1):48–56. doi: 10.1097/OLQ.0000000000000535

Table 6.

Sensitivity and Specificity for HIV Risk Algorithm Cut-Points (Range: 1-74) (n = 8,898)

All MSM HIV Positives HIV Negatives

Cut Point % greater than or equal to Cut-Point n Number of HIV Infections per 100 Person-Years Number greater than or equal to Cut-Point* Sensitivity % greater than or equal to Cut-Point n Number greater than or equal to Cut-Point* 1-Specificity % greater than or equal to Cut-Point
1 100.0% 0 0.00 362 100.0% 158 8,536 100.0%
2 98.2% 13 0.53 362 100.0% 1306 8,378 98.1%
3 83.4% 32 1.11 349 96.4% 1581 7,072 82.8%
4 65.3% 47 2.04 317 87.6% 1240 5,491 64.3%
5 50.8% 36 1.94 270 74.6% 1010 4,251 49.8%
6 39.1% 22 1.75 234 64.6% 701 3,241 38.0%
7 30.9% 18 1.97 212 58.6% 523 2,540 29.8%
8 24.8% 29 3.25 194 53.6% 466 2,017 23.6%
9 19.3% 22 3.98 165 45.6% 323 1,551 18.2%
10 15.4% 19 4.28 143 39.5% 235 1,228 14.4%
11 12.6% 14 4.61 124 34.3% 167 993 11.6%
12 10.5% 22 9.52 110 30.4% 145 826 9.7%
13 8.6% 14 7.23 88 24.3% 107 681 8.0%
14 7.3% 10 5.03 74 20.4% 88 574 6.7%
15 6.2% 9 6.80 64 17.7% 76 486 5.7%
16 5.2% 7 5.68 55 15.2% 70 410 4.8%
17 4.4% 5 4.33 48 13.3% 63 340 4.0%
18 3.6% 7 7.41 43 11.9% 49 277 3.2%
19 3.0% 7 11.79 36 9.9% 35 228 2.7%
20 2.5% 3 5.25 29 8.0% 26 193 2.3%
21 2.2% 4 5.44 26 7.2% 37 167 2.0%
22 1.7% 1 5.02 22 6.1% 11 130 1.5%
23 1.6% 5 13.42 21 5.8% 20 119 1.4%
24 1.3% 2 11.53 16 4.4% 10 99 1.2%
25 1.2% 0 0.00 14 3.9% 8 89 1.0%
26 1.1% 3 24.14 14 3.9% 7 81 0.9%
27 1.0% 2 15.66 11 3.0% 9 74 0.9%
28 0.8% 1 9.92 9 2.5% 6 65 0.8%
29 0.8% 0 0.00 8 2.2% 8 59 0.7%
30 0.7% 1 11.24 8 2.2% 5 51 0.6%
31 0.6% 0 0.00 7 1.9% 4 46 0.5%
32 0.6% 0 0.00 7 1.9% 6 42 0.5%
33 0.5% 1 51.28 7 1.9% 2 36 0.4%
34 0.4% 0 0.00 6 1.7% 7 34 0.4%
35 0.4% 1 55.87 6 1.7% 2 27 0.3%
36 0.3% 0 0.00 5 1.4% 1 25 0.3%
37 0.3% 1 13.30 5 1.4% 5 24 0.3%
38 0.3% 0 0.00 4 1.1% 2 19 0.2%
39 0.2% 0 0.00 4 1.1% 0 17 0.2%
40 or above 0.2% 4 11.11 4 1.1% 17 17 0.2%

Total 362 8,536
*

Calculated by subtracting the cumulative sum before that row from the total for each category