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Application of the Uniform Data Set version 3 tele-adapted test battery (T-cog) for remote cognitive assessment preoperatively in older adults
Rockholt, Mika M; Wu, Rachel R; Zhu, Elaine; Perez, Raven; Martinez, Hamleini; Hui, Jessica J; Commeh, Ekow B; Denoon, Romario B; Bruno, Gabrielle; Saba, Braden V; Waren, Daniel; O'Brien, Courtney; Aggarwal, Vinay K; Rozell, Joshua C; Furgiuele, David; Macaulay, William; Schwarzkopf, Ran; Schulze, Evan T; Osorio, Ricardo S; Doan, Lisa V; Wang, Jing
INTRODUCTION/UNASSIGNED:Older adults undergoing surgery are at risk of postoperative neurocognitive disorders, prompting the need for preoperative cognitive screening in this population. Traditionally, cognitive screening has been conducted in-person using brief assessment tools such as the Montreal Cognitive Assessment (MoCA) or the Mini-Mental State Examination (MMSE). More comprehensive test batteries, such as the Uniform Data Set (UDS) Neuropsychological Battery, and its remote testing version, the Uniform Data Set version 3 tele-adapted test battery (UDS v3.0 T-cog), have been developed to assess cognitive decline in normal aging and disease conditions, but have not been applied in the perioperative setting. METHODS/UNASSIGNED:We assessed the feasibility of using this remote UDS v3.0 T-cog battery for preoperative cognitive assessment in 81 older adults 65+ scheduled for lower extremity joint replacement surgery. RESULTS/UNASSIGNED:Our results indicate that the UDS v3.0 T-cog achieves 99% completion rates and demonstrates high patient satisfaction. Further, we found 28% of subjects were cognitively impaired in this patient cohort. DISCUSSION/UNASSIGNED:These findings suggest that the UDS v3.0 T-cog is a feasible tool for assessing cognitive function in the older adult perioperative population. To our knowledge, this is the first study to apply this comprehensive remote test battery in the preoperative setting.
PMCID:11782117
PMID: 39897457
ISSN: 1663-4365
CID: 5783672
Psychological aspects of ageing
Chapter by: Schulze, Evan T; Ruppert, Phllip; Heady, Gayle; Schwarz, Lauren
in: Pathy's Principles and Practice of Geriatric Medicine by Sinclair, Alan J; et al (Eds)
[S.l.] : Wiley, 2022
pp. ?-
ISBN:
CID: 5261462
Working Memory, Processing Speed, and Memory Functioning Are Minimally Predictive of Victoria Symptom Validity Test Performance
Resch, Zachary J; Soble, Jason R; Ovsiew, Gabriel P; Castillo, Liliam R; Saladino, Kevin F; DeDios-Stern, Samantha; Schulze, Evan T; Song, Woojin; Pliskin, Neil H
A sound performance validity test is accurate for detecting invalid neuropsychological test performance and relatively insensitive to actual cognitive ability or impairment. This study explored the relationship of several cognitive abilities to several performance indices on the Victoria Symptom Validity Test (VSVT), including accuracy and response latency. This cross-sectional study examined data from a mixed clinical sample of 88 adults identified as having valid neurocognitive test profiles via independent validity measures, and who completed the VSVT along with objective measures of working memory, processing speed, and verbal memory during their clinical neuropsychological evaluation. Results of linear regression analyses indicated that cognitive test performance accounted for 5% to 14% of total variance for VSVT performance across indices. Working memory was the only cognitive ability to predict significant, albeit minimal, variance on the VSVT response accuracy indices. Results show that VSVT performance is minimally predicted by working memory, processing speed, or delayed verbal memory recall.
PMID: 32174137
ISSN: 1552-3489
CID: 5250012
Establishing the base rate of performance invalidity in a clinical electrical injury sample: Implications for neuropsychological test performance
Resch, Zachary J; Paxton, Jessica L; Obolsky, Maximillian A; Lapitan, Franchezka; Cation, Bailey; Schulze, Evan T; Calderone, Veroly; Fink, Joseph W; Lee, Raphael C; Pliskin, Neil H; Soble, Jason R
PMID: 33858295
ISSN: 1744-411x
CID: 5250022
Psychological Assessment and Intervention in Rehabilitation
Chapter by: Soble, JR; Schulze, Evan; Resch, ZJ; Critchfield, EA; O'Rourke, JJF
in: Braddom's Physical Medicine and Rehabilitation by Cifu, David {Ed]
[S.l.] : Elsevier, 2020
pp. ?-
ISBN: 9780323625395
CID: 5261452
Examination of the Minnesota Multiphasic Personality Inventory-2-Restructured Form (MMPI-2-RF) validity and substantive scales in patients with electrical injury
Soble, Jason R; Resch, Zachary J; Schulze, Evan T; Paxton, Jessica L; Cation, Bailey; Friedhoff, Claire; Costin, Colleen; Fink, Joseph W; Lee, Raphael C; Pliskin, Neil H
PMID: 31106672
ISSN: 1744-4144
CID: 5250002
Performance validity testing in a clinical sample of adults with sickle cell disease
Dorociak, Katherine E; Schulze, Evan T; Piper, Lauren E; Molokie, Robert E; Janecek, Julie K
OBJECTIVE:Neuropsychologists utilize performance validity tests (PVTs) as objective means for drawing inferences about performance validity. The Test of Memory Malingering (TOMM) is a well-validated, stand-alone PVT and the Reliable Digit Span (RDS) and Reliable Digit Span-Revised (RDS-R) from the Digit Span subtest of the WAIS-IV are commonly employed, embedded PVTs. While research has demonstrated the utility of these PVTs with various clinical samples, no research has investigated their use in adults with sickle cell disease (SCD), a condition associated with multiple neurological, physical, and psychiatric symptoms. Thus, the purpose of this study was to explore PVT performance in adults with SCD. METHOD: = 40.61, SD = 12.35) were consecutively referred by their hematologist for a routine clinical outpatient neuropsychological evaluation. During the evaluation, participants were administered the TOMM (Trials 1 and 2), neuropsychological measures including the WAIS-IV Digit Span subtest, and mood and behavioral questionnaires. RESULTS:The average score on the TOMM was 47.70 (SD = 3.47, range = 34-50) for Trial 1 and 49.69 (SD = 1.66, range = 38-50) for Trial 2. Only one participant failed Trial 2 of the TOMM, yielding a 98.1% pass rate for the sample. Pass rates at various RDS and RDS-R values were calculated with TOMM Trial 2 performance as an external criterion. CONCLUSIONS:Results support the use of the TOMM as a measure of performance validity for individuals with SCD, while RDS and RDS-R should be interpreted with caution in this population.
PMID: 28632024
ISSN: 1744-4144
CID: 5249992
Epilepsy
Chapter by: Janecek, Julie; Puka, Klajdi; Schulze, Evan; Smith, Mary Lou
in: Neuropsychological conditions across the lifespan by Donders, Jacobus; Hunter, Scott J (Eds)
New York, NY : Cambridge University Press, 2018
pp. -
ISBN: 9781107190016
CID: 5261442
Neuroinfection
Chapter by: Novitski, Julia; Elverman, Kathleen; Kwan, Donna; Schulze, Evan; Grote, Christopher
in: Acquired brain injury : clinical essentials for neurotrauma and rehabilitation professionals by Han, Dong Y (Ed)
New York : Springer Publishing Company, [2017]
pp. 108-132
ISBN: 9780826131362
CID: 5261432
Imaging chronic traumatic brain injury as a risk factor for neurodegeneration
Little, Deborah M; Geary, Elizabeth K; Moynihan, Michael; Alexander, Aristides; Pennington, Michelle; Glang, Patrick; Schulze, Evan T; Dretsch, Michael; Pacifico, Anthony; Davis, Matthew L; Stevens, Alan B; Huang, Jason H
Population-based studies have supported the hypothesis that a positive history of traumatic brain injury (TBI) is associated with an increased incidence of neurological disease and psychiatric comorbidities, including chronic traumatic encephalopathy, Alzheimer's disease, Parkinson's disease, and amyotrophic lateral sclerosis. These epidemiologic studies, however, do not offer a clear definition of that risk, and leave unanswered the bounding criteria for greater lifetime risk of neurodegeneration. Key factors that likely mediate the degree of risk of neurodegeneration include genetic factors, significant premorbid and comorbid medical history (e.g. depression, multiple head injuries and repetitive subconcussive impact to the brain, occupational risk, age at injury, and severity of brain injury). However, given the often-described concerns in self-report accuracy as it relates to history of multiple TBIs, low frequency of patient presentation to a physician in the case of mild brain injuries, and challenges with creating clear distinctions between injury severities, disentangling the true risk for neurodegeneration based solely on population-based studies will likely remain elusive. Given this reality, multiple modalities and approaches must be combined to characterize who are at risk so that appropriate interventions to alter progression of neurodegeneration can be evaluated. This article presents data from a study that highlights uses of neuroimaging and areas of needed research in the link between TBI and neurodegenerative disease.
PMID: 24924670
ISSN: 1552-5279
CID: 5249982