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Table 3 Accuracy in distinguishing between CSF AD and non-AD profiles

From: Association of glial and neuronal degeneration markers with Alzheimer’s disease cerebrospinal fluid profile and cognitive functions

 

Univariable ROC analyses

Multivariable LASSO logistic regressionb

AUC

95% CI (AUC)*

Stability selection (%)

CSF measuresa

  GFAP (ng/ml)

0.64

0.48–0.79

10

  YKL-40 (ng/ml)

0.63

0.47–0.78

18

  NFL (ng/ml)

0.62

0.45–0.78

2

  S100B (pg/ml)

0.61

0.46–0.77

20

Cognitive domains

Verbal episodic memory

  Composite z-score

0.80

0.69–0.92

96c

  RAVLT delayed recall, score

0.80

0.68–0.93

  Story delayed recall, score

0.75

0.62–0.89

  RAVLT immediate recall, score

0.74

0.61–0.88

  RAVLT recognition-fp, score

0.74

0.61–0.87

  Story immediate recall, score

0.73

0.59–0.86

Non-verbal episodic memory

  Composite z-score

0.65

0.50–0.81

14

  ROCF immediate recall, score

0.66

0.51–0.81

  ROCF delayed recall, score

0.65

0.49–0.80

Executive functions

  Composite z-score

0.64

0.49–0.80

16

  TMT-B, secondsa

0.66

0.50–0.81

  DSST, scorea

0.60

0.44–0.75

  Stroop 4th/3rd part, secondsa

0.59

0.43–0.75

Language

  Composite z-score

0.60

0.44–0.76

4

  Verbal fluency animals, score

0.68

0.54–0.83

  Verbal fluency H+S, score

0.50

0.34–0.66

Processing speed

  Composite z-score

0.56

0.39–0.72

9

  TMT-A, secondsa

0.60

0.44–0.76

  Stroop test—part I, secondsa

0.54

0.38–0.70

  1. AUC is the probability that a randomly selected pair of subjects from each CSF profile group is correctly classified
  2. Abbreviations: AD Alzheimer’s disease, AUC area under curve, CI confidence intervals, CSF cerebrospinal fluid, DDST Digit Symbol Substitution Test, fp false positives, LASSO Least absolute shrinkage and selection operator, RAVLT Rey Auditory-Verbal Learning Test, ROCF Rey–Osterrieth complex figure, TMT Trail Making Test
  3. *Confidence intervals calculated with DeLong method
  4. aValues are natural log-transformed
  5. bLASSO logistic regression model was fitted on 100 subsamples, with different predictors (CSF measures and composite test scores) possibly selected into each model. Numbers present the frequency (%) of each possible predictor selected. The per-family error rate (PFER) was set at 1, and the cut-off value at 75% for stability selection
  6. cThe composite test for verbal episodic memory was the only measure to have selection frequency above the cut-off value