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. 2017 Jan 30;34(4):348–355. doi: 10.1002/da.22602

Table 3.

Sensitivity, specificity, positive and negative predictive values, and regression statistics of week 2 diagnoses to predict week 9 depression and anxiety

Regression Statistics
Week 2 Predictor χ2 P Odds Ratio Positive Predictive Value Negative Predictive Value Sensitivity Specificity Percentage Correctly Identified
Outcome: Depression at week 9
ASD (DSM‐5) 14.18 <.0001 5.04 0.54 0.81 0.31 0.92 77.6
4+ symptoms 20.64 <.0001 5.01 0.47 0.85 0.52 0.82 75.1
ASD (DSM‐IV) 14.21 <.0001 4.36 0.49 0.82 0.38 0.88 76.1
“Two‐week PTSD” (DSM‐5)a 18.40 <.0001 5.40 0.53 0.83 0.40 0.89 77.6
Preschool PTSD 24.33 <.0001 6.53 0.55 0.84 0.46 0.89 78.5
Outcome: Anxiety at week 9
ASD (DSM‐5) 25.60 <.0001 11.92 0.46 0.93 0.52 0.92 86.8
‐ 4+ symptoms 22.84 <.0001 8.50 0.32 0.95 0.68 0.80 78.5
ASD (DSM‐IV) 21.71 <.0001 8.69 0.38 0.93 0.56 0.87 83.4
“Early PTSD” (DSM‐5 PTSD) 22.54 <.0001 9.14 0.39 0.93 0.56 0.88 83.9
Preschool PTSD 20.84 <.0001 5.46 0.40 0.95 0.64 0.87 83.9

Note. Positive predictive value = Likelihood that someone with diagnosis at week 2 would have the relevant diagnosis at week 9. Negative predictive value = Likelihood that someone without a given diagnosis at week 2 would not go on to have the relevant diagnosis at week 9. Sensitivity = Likelihood that someone with diagnosis at week 9 would have previously met criteria for relevant diagnosis at week 2. Specificity = Likelihood that someone without diagnosis at week 9 would not have met criteria for the relevant diagnosis at week 2.

a

“Two‐week PTSD” refers to an “early PTSD” algorithm, that is, ignores the requirement that symptoms be present for at least 4 weeks.