Table 4.
Prognostic values (estimate and 95% confidence intervals) of failing response to name task for identifying 36-month outcome group.
| Visit age or pattern | ASD Sensitivity | ADHD Sensitivity | Combined ASD & ADHD Sensitivity | Comparison Specificity | ASD vs. All Others PPV | ADHD vs. All Others PPV | Combined ASD & ADHD PPV | ASD vs. All Others NPV | ADHD vs. All NPV | Combined ASD & ADHD NPV |
|---|---|---|---|---|---|---|---|---|---|---|
| 6 months | .24 (.14 - .36) |
.27 (.11 - .49) |
.25 (.15 - .35) |
.67 (.63 - .74) |
.13 (.11 - .16) |
.10 (.07 - .13) |
.23 (.20 - .27) |
.80 (.78 - .84) |
.86 (.84 - .90) |
.70 (.67 - .74) |
| 12 months | .26 (.16 - .38) |
.30 (.14 - .46) |
.28 (.18 - .37) |
.93 (.92 - .96) |
.34 (.31 - .38) |
.25 (.23 - .30) |
.60 (.57 - .64) |
.85 (.83 - .89) |
.90 (.88 - .93) |
.77 (.74 - .81) |
| 18 months | .22 (.11 - .33) |
.13 (.05 - .24) |
.18 (.11 - .26) |
.98 (.97 - 1.00) |
.53 (.49 - .57) |
.23 (.19 - .25) |
.74 (.72 - .79) |
.85 (.82 - .88) |
.88 (.86 - .91) |
.75 (.73 - .75) |
| 24 months | .58 (.36 - .72) |
.05 (.02 - .13) |
.34 (.23 - .43) |
.95 (.94 - .97) |
.71 (.68 - .75) |
.00 (.00 - .01) |
.71 (.68 - .75) |
.91 (.89 - .94) |
.87 (.85 - .90) |
.78 (.76 - .83) |
| Multiple visits at 6–24 months | .46 (.28 - .61) |
.16 (.07 - .30) |
.33 (.22 - .43) |
.95 (.94 - .99) |
.60 (.56 - .65) |
.14 (.11 - .17) |
.73 (.71 - .78) |
.89 (.87 - .92) |
.89 (.87 - .92) |
.79 (.76 - .83) |
| At least one visit at 12–24 months | .61 (.37 - .76) |
.37 (.19 - .55) |
.51 (.61 - .35) |
.86 (.84 - .90) |
.41 (.38 - .46) |
.17 (.14 - .21) |
.58 (.55 - .63) |
.91 (.90 - .94) |
.91 (.89 - .94) |
.82 (.80 - .86) |
Abbreviations: ASD = autism spectrum disorder; ADHD = attention-deficit/hyperactivity disorder.
Estimates and confidence intervals are derived from 100 complete datasets derived using multiple imputation. Sensitivity = true positives/(true positives + false negatives); Specificity = true negatives/(true negatives + false positives); positive predictive value (PPV) = true positives/(true positives + false positives); negative predictive value (NPV) = true negatives/(true negatives + false negatives).