FAA EXPERIENCE WITH NEUROPSYCHOLOGICAL TESTING FOR AIRMEN WITH DEPRESSION ON SSRI MEDICATIONS



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FAA EXPERIENCE WITH NEUROPSYCHOLOGICAL TESTING FOR AIRMEN WITH DEPRESSION ON SSRI MEDICATIONS Presented to: 2013 Aerospace Medical Association Annual Scientific Meeting By: James R. DeVoll, M.D. Date: May 16, 2013

Disclosure Information James R. DeVoll, M.D. I have no financial relationships to disclose. I will not discuss off-label use and/or investigational use in my presentation ************* Opinions expressed do not necessarily represent the position of the FAA 2

Introduction April 2010: SSRI Policy Announced allowing FAA medical certification for selected psychiatric disorders and SSRIs. However Psychiatric disorders manifested by depression or other affective symptoms may impair cognitive function Selective Serotonin-Reuptake Inhibitor (SSRI) medications may also impair cognitive function 3

Introduction Requirements of the SSRI Policy Limited to: depression (not bipolar) Acceptable medications: Fluoxetine (Prozac) Escitalopram (Lexapro) Sertraline (Zoloft) Citalopram (Celexa) Treatment: 12 months documented stability And: no evidence of aeromedically significant neurocognitive deficiencies 4

Introduction So How to identify significant aeromedical deficiencies? Require submission of: Full battery of neuropsychological testing An aeromedical NP screening test (CogScreen-AE) 5

Introduction Seemed simple enough But, when actually put into a process, things became a bit more complicated. 6

Introduction 7

Introduction 8

Introduction Full Neuropsychological Battery (NP-battery) The Wechsler Adult Intelligence Scales Trail Making Test, Parts A and B Executive function tests Category Test or Wisconsin Card Sorting Test; and Stroop Color-Word Test Paced Auditory Serial Addition Test (PASAT) A continuous performance test Test of Variables of Attention [TOVA], Conners Continuous Performance Test [CCPT], or Integrated Visual and Auditory Continuous Performance Test [IVA] Test of verbal memory WMS-IV subtests, Rey Auditory Verbal Learning Test, or California Verbal Learning Test-II Test of visual memory WMS-IV subtests, Brief Visuospatial Memory Test-Revised, or Rey Complex Figure Test Tests of Language Boston Naming Test and testing for verbal fluency (i.e., the COWAT and a semantic fluency task) Psychomotor testing (Finger Tapping,and either Grooved Pegboard or Purdue Pegboard) Personality testing to include Minnesota Multiphasic Personality Inventory (MMPI-2) 9

Introduction 10

Introduction Concerns evident from the first 24 months: 1. Complexity of process for initial consideration and continuation in the program for airmen and HIMS AMEs 2. Complexity faced by FAA AAM personnel in the processing chain 3. Costs: both for the airman and in person-hours required for FAA processing 4. Ethical and privacy concerns over release of testing results and data 11

Introduction So with these issues in mind what is the right NP testing data needed for: Initial SSRI program certification decision? Follow-on certification decisions? 12

Introduction Objectives of this study: Evaluate CogScreen-AE vs. Full NP-battery for assessing eligibility for medical certification under the SSRI protocol Examine data for other CogScreen-AE metrics that might further refine qualification predictions (e.g., LRPV scores, processing speed scores, etc.) 13

Methods Case Identification: Queried the Medical Appeals Branch database for all cases evaluated under the SSRI protocol from 4/2010 through 6/2012 Sources of information: Medical Appeals Branch Database: Case status and final certification determination FAA electronic medical records (DIWS) and hardcopy records: results of CogScreen-AE and NP-battery testing and other supplementary information 14

Methods Data Elements for each case NP Testing Performance Summary CogScreen-AE deficiency NP-battery deficiency Issued a Medical Certificate: Disqualified due to NP deficits: Yes / No Yes / No Yes / No Yes / No CogScreen-AE: LRPV score; subtest scores <5 th & 15 th p-tile NP-battery: significant subtests 15

Methods Selection Criteria: The most recent record (if reviewed >1) Both CogScreen-AE and NP-battery results available for review Final determination made regarding certification Analysis Sensitivity, Specificity, Positive Predictive Value (PPV) and Negative Predictive Value 16

Results For the period April 2010 June 2012: Total individual airmen: 128 Total meeting selection criteria: 98 Issued: 79 Denied: 19 Neurocognitive deficiencies 11 Other disqualification* 8 * Other medical condition; did not meet SSRI policy requirements due to type of psychiatric diagnosis, suicide history, inadequate treatment duration or stability, or unacceptable medication usage (multiple medications, use of unapproved SSRI, etc.) 17

Results Cognitive Deficiency on Full NP Test Battery Yes No Total CogScreen-AE: Weak/Deficient Performance Yes 11 11 22 No 76 76 Total NP Determinations 11 (Disqualified) 87 (Qualified) 98 CogScreen-AE identified 25.2 % as potentially impaired NP-battery: impairment confirmed in 12.6 % Overall: 87.4% neurocognitively eligible, and 12.6% disqualified. 18

Results CogScreen-AE performance: Sensitivity 100.0% Specificity 87.4% PPV 50.0% NPV 100.0% 19

Results Relationship of LRPV probability for brain dysfunction to determinations: Cognitive Deficiency on Full NP Test Battery CogScreen-AE: LRPV Score* Yes No Total High 4 11 15 Low 7 76 83 Total NP Determinations 11 (Disqualified) 87 (Qualified) 98 * High if >= 0.8 Odd s Ratio = 3.95 20

Results Relationship of LRPV probability for brain dysfunction to determinations: Cognitive Deficiency on Full NP Test Battery Fisher Test p-value Yes No CogScreen-AE: Mean LRPV Score High 0.9672 0.9341 0.72 Low 0.5333 0.1741 0.58 Fisher Test p-value 0.02 >0.001 ** Other potential metrics: inadequate number of data points for analysis. 21

Discussion Limitations Relatively small sample size (n = 98) Low counts in some cells Potential Biases Retrospective or post hoc analysis Testing done by a variety of neuropsychologists No standardized study protocol for reviewers interpretations or determinations Reviewers not blinded to clinical history Unable to assess potential impact of cases excluded from analysis due to missing CogScreen-AE data 22

Discussion Strengths of the study Real world data = representative of the actual testing and reports that we can expect to be submitted by airmen in the future and consistent with past experience 23

Discussion Interpretation: CogScreen-AE performed well as a screening test by identifying all airmen with significant cognitive deficiencies diagnosed by full NP battery testing. The positive predictive value was only 50%, suggesting that half of individuals undergoing full NP battery testing on the basis of CogScreen-AE will not have deficits 24

Discussion However, based on the findings of this study, over 75% of airmen tested by CogScreen-AE may be spared full NP battery testing!!! 25

Discussion Conclusions: 1. Current data compelling for eliminating full NP-battery testing as a requirement for initial consideration, unless deficiencies are suggested by CogScreen-AE 2. Follow-on NP testing requires only CogScreen-AE, except where clinically indicated on a case-by-case basis 26

Discussion High LRPV score may increase odds of finding deficiencies on full NP-battery testing, these data not sufficient to draw any other inferences. Insufficient numbers for further analysis of potential importance of subtest results. 27

Discussion Future questions: Can we further refine interpretation of CogScreen-AE to reduce the number of airmen required to undergo further non diagnostic full NP battery testing? Can we further reduce the frequency of follow-on testing from current requirements (annual for first-/second-class and every 2 years for third-class)? 28

Thank You 29