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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