|
Advanced PD
|
Adjusted Model a
|
---|
Indicator
|
No
|
Yes
|
OR (95% CI)
|
Correct Classification (%) b
|
AUC c
|
---|
5–2-1 screening criteria
|
Negative
|
3018
|
150
|
1
|
–
|
–
|
Positive
|
994
|
552
|
6.84 (5.50, 8.51)
|
88.1
|
0.89
|
Individual clinical indicators
|
≥2 h off-time/day
|
Negative
|
3299
|
208
|
1
|
–
|
–
|
Positive
|
713
|
494
|
7.07 (5.76, 8.68)
|
88.4
|
0.89
|
≥1 h troublesome dyskinesia/day
|
Negative
|
3944
|
591
|
1
|
–
|
–
|
Positive
|
68
|
111
|
5.56 (3.85, 8.02)
|
87.1
|
0.85
|
≥5 doses of oral levodopa/day
|
Negative
|
3501
|
413
|
1
|
–
|
–
|
Positive
|
511
|
289
|
3.03 (2.45, 3.73)
|
87.1
|
0.86
|
- aRegressions adjusted for age, sex, time since diagnosis, Charlson Comorbidity Index, and country. bCorrect classification is the percentage of patients correctly classified per 5–2-1 criteria (sum of true positive and true negatives divided by total number of patients). C AUC is a screening accuracy measure that balances sensitivity and specificity. AUC is interpreted as follows: AUC = 0.5, non-informative; AUC = 0.5 to ≤0.7, less accurate; AUC = 0.7 to ≤0.9, moderately accurate, AUC 0.9 to < 1, highly accurate; AUC = 1, perfect test [27,28,29]
- AUC Area under the curve, CI Confidence interval, OR Odds ratio