Table 5.
USAUDIT and USAUDIT-C cutoff score analysis in the overall sample and by gender.
| Overall Sample | Males | Females | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Score | Sensitivity | Specificity | J | PPV | NPV | Sensitivity | Specificity | J | PPV | NPV | Sensitivity | Specificity | J | PPV | NPV |
| USAUDIT | |||||||||||||||
| 1 | 1.000 | .004 | .004 | .399 | 1.000 | 1.000 | .015 | .015 | .421 | 1.000 | |||||
| 2 | .987 | .087 | .074 | .417 | .909 | .980 | .060 | .040 | .427 | .807 | .990 | .099 | .089 | .407 | .941 |
| 3 | .974 | .196 | .170 | .445 | .918 | .980 | .134 | .114 | .447 | .904 | .970 | .222 | .192 | .437 | .922 |
| 4 | .961 | .326 | .287 | .485 | .926 | .980 | .269 | .249 | .490 | .950 | .950 | .352 | .302 | .478 | .919 |
| 5 | .914 | .461 | .375 | .529 | .891 | .940 | .433 | .373 | .543 | .910 | .901 | .475 | .376 | .517 | .885 |
| 6 | .829 | .565 | .394 | .558 | .833 | .940 | .507 | .447 | .577 | .922 | .772 | .586 | .358 | .538 | .805 |
| 7 | .776 | .717 | .493 | .645 | .829 | .880 | .567 | .447 | .592 | .869 | .723 | .778 | .501 | .670 | .818 |
| 8 | .717 | .796 | .513 | .699 | .810 | .840 | .597 | .437 | .599 | .839 | .653 | .877 | .530 | .768 | .802 |
| 9 | .645 | .839 | .484 | .726 | .781 | .740 | .687 | .427 | .628 | .787 | .594 | .901 | .495 | .789 | .781 |
| 10 | .566 | .874 | .440 | .748 | .753 | .720 | .761 | .481 | .683 | .792 | .485 | .920 | .405 | .791 | .741 |
| 11 | .487 | .904 | .391 | .771 | .727 | .640 | .806 | .446 | .702 | .758 | .406 | .944 | .350 | .819 | .718 |
| 12 | .428 | .935 | .363 | .813 | .712 | .620 | .866 | .486 | .768 | .761 | .327 | .963 | .290 | .846 | .697 |
| 13 | .375 | .948 | .323 | .826 | .696 | .560 | .881 | .441 | .771 | .737 | .287 | .975 | .262 | .877 | .687 |
| 14 | .309 | .961 | .270 | .839 | .678 | .500 | .896 | .396 | .775 | .715 | .218 | .988 | .206 | .919 | .670 |
| 15 | .283 | .978 | .261 | .896 | .674 | .440 | .955 | .395 | .875 | .705 | .208 | .988 | .196 | .915 | .667 |
| USAUDIT-C | |||||||||||||||
| 1 | 1.000 | .009 | .009 | .400 | 1.000 | 1.000 | .015 | .015 | .421 | 1.000 | 1.000 | .006 | .006 | .385 | 1.000 |
| 2 | .954 | .104 | .058 | .413 | .774 | .960 | .090 | .050 | .430 | .759 | .950 | .111 | .061 | .400 | .781 |
| 3 | .914 | .243 | .157 | .444 | .810 | .920 | .194 | .114 | .449 | .772 | .911 | .265 | .176 | .436 | .827 |
| 4 | .875 | .391 | .266 | .487 | .826 | .900 | .343 | .243 | .495 | .827 | .861 | .414 | .275 | .478 | .827 |
| 5 | .829 | .509 | .338 | .527 | .818 | .880 | .463 | .343 | .540 | .844 | .802 | .531 | .333 | .516 | .811 |
| 6 | .697 | .678 | .375 | .589 | .772 | .860 | .567 | .427 | .587 | .850 | .614 | .722 | .336 | .579 | .750 |
| 7 | .612 | .787 | .399 | .655 | .754 | .760 | .627 | .387 | .593 | .785 | .535 | .852 | .387 | .693 | .746 |
| 8 | .454 | .865 | .319 | .690 | .706 | .600 | .687 | .287 | .578 | .706 | .386 | .938 | .324 | .795 | .710 |
| 9 | .342 | .917 | .259 | .731 | .678 | .480 | .806 | .286 | .639 | .684 | .277 | .963 | .240 | .824 | .681 |
| 10 | .250 | .952 | .202 | .775 | .658 | .420 | .896 | .316 | .743 | .684 | .168 | .975 | .143 | .807 | .653 |
Optimal cutoff scores are shaded in gray and interpreted as “greater than or equal to” a given value.