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Predictive ability of the G8 screening test to determine probable sarcopenia and abnormal comprehensive geriatric assessment in older patients with solid malignancies. BMC Geriatr 2021; 21:574. [PMID: 34666690 PMCID: PMC8524815 DOI: 10.1186/s12877-021-02544-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2021] [Accepted: 10/07/2021] [Indexed: 11/16/2022] Open
Abstract
Background Pre-treatment evaluation for sarcopenia is recommended in cancer patients. New screening tests that are less time-consuming and can identify patients who will potentially benefit from geriatric assessment are being developed; the G8 geriatric screening test is one such example. We aimed to investigate whether the G8 screening test can detect probable sarcopenia and is valid and reliable compared to a comprehensive geriatric assessment (CGA) in Turkish older adults with solid cancers. Methods We included solid cancer patients referred to a single center. Probable sarcopenia and abnormal CGA were defined as low handgrip strength. Cut-offs for handgrip strength in the Turkish population have been previously determined to be 32 kg for males and 22 kg for females and impairment in at least one of the CGA tests, respectively. The CGA tests comprised KATZ Basic Activities of Daily Living Scale Lawton–Brody Instrumental Activities of Daily Living Scale, Mini-Mental-State Examination Scale, Geriatric Depression Scale-15, and Mini-Nutritional Assessment Short Form. Receiver operating characteristic curve analyses evaluated the test’s predictive ability. Intra-rater and inter-rater reliabilities were assessed. Results The median age of the 76 patients included was 72 (65–91) years. There was a moderate correlation between handgrip strength and the G8 test total score. The sensitivity and specificity of the G8 test to detect probable sarcopenia alone (cut off score = 12.5) were 50 and 92%, respectively (AUC: 0.747; p < 0.001); to determine abnormal CGA plus probable sarcopenia (cut off score = 13) were 93.33 and 86.89%, respectively (AUC: 0.939; p < 0.001); and to detect abnormal CGA alone (cut off score = 14) were 79.63 and 95.45%, respectively (AUC: 0.893; p < 0.001). The G8 test results agreed with those of CGA (κ = 0.638; p < 0.001). Both inter- and intra-rater assessments of G8 scores revealed a strong agreement (Interclass correlation coefficient = 0.979, p < 0.001 and ρ = 0.994, p < 0.001, respectively). Conclusions The Turkish version of the G8 test is a good screening tool to detect probable sarcopenia alone and in conjunction with abnormal CGA in older patients with solid malignancies. The G8 screening tool may thus be useful in detecting probable sarcopenia in Turkish older adults with solid cancers.
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Chau E, Nishi A, Kristalovich L, Holowaychuk A, Mortenson WB. Establishing the Predictive Validity of the ScanCourse for Assessing On-Road Driving Performance. Am J Occup Ther 2021; 75:7501205120p1-7501205120p8. [PMID: 33399060 DOI: 10.5014/ajot.2021.041608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
IMPORTANCE Scanning the environment is critical for driving safety. The ScanCourse is a functional assessment that assesses a person's ability to scan the environment for visual information while in motion. Measurement properties for the ScanCourse have been reported; however, its predictive validity is unknown. OBJECTIVE To determine the predictive validity of the ScanCourse for on-road driving performance and establish clinical cutoff scores. DESIGN Retrospective chart reviews were conducted over a 6-mo period. SETTING Four Canadian driver rehabilitation programs. PARTICIPANTS Charts from patients with neurological or vision conditions were eligible if they contained ScanCourse and on-road driving evaluation results between September 1, 2008, and August 30, 2018. Three hundred twenty-five charts were included for analysis. OUTCOMES AND MEASURES Area under the curve (AUC) analysis was used to determine the predictive validity of ScanCourse scores for on-road outcomes; cutoff scores were established by optimizing sensitivity and specificity. RESULTS The ScanCourse had an AUC of .702. The optimal cutoff score was 18/20 with a sensitivity of 76.7% and a specificity of 47.1%. CONCLUSIONS AND RELEVANCE Assessing the scanning abilities of at-risk drivers who intend to return to driving after sustaining an injury can help identify safety risks and inform interventions. The ScanCourse was found to have acceptable discriminatory ability for on-road driving performance. This study provides evidence supporting its continued use as a screening tool to assess driver fitness with an identified optimal cutoff score for clinical use. WHAT THIS ARTICLE ADDS Measuring the predictive ability of the ScanCourse assessment in relation to on-road driving performance provides occupational therapists with an evidence-based clinical tool to assist with screening fitness to drive among at-risk people.
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Affiliation(s)
- Eric Chau
- Eric Chau, BKin, MOT, OT, is Occupational Therapist, Private Practice, Vancouver, British Columbia, Canada. At the time of the research, Chau was Graduate Student, Department of Occupational Science and Occupational Therapy, University of British Columbia, Vancouver, British Columbia, Canada
| | - Adam Nishi
- Adam Nishi, BKin, MOT, OT, is Occupational Therapist, Private Practice, Vancouver, British Columbia, Canada. At the time of the research, Nishi was Graduate Student, Department of Occupational Science and Occupational Therapy, University of British Columbia, Vancouver, British Columbia, Canada
| | - Lisa Kristalovich
- Lisa Kristalovich, BMR(OT), MRSc, OT, is Clinical Instructor, Department of Occupational Science and Occupational Therapy, University of British Columbia, and Occupational Therapist, GF Strong Rehabilitation Centre, Vancouver, British Columbia, Canada
| | - Ana Holowaychuk
- Ana Holowaychuk, MScOT (C), is Occupational Therapist, Glenrose Rehabilitation Hospital, Edmonton, Alberta, Canada
| | - W Ben Mortenson
- W. Ben Mortenson, BScOT, MSc, PhD, OT, is Associate Professor, Department of Occupational Science and Occupational Therapy, University of British Columbia, Vancouver, British Columbia, Canada; Principal Investigator, International Collaboration on Repair Discoveries, Blusson Spinal Cord Centre at Vancouver General Hospital, Vancouver, British Columbia, Canada; and Principal Investigator, Rehabilitation Research Program, Vancouver Coastal Health Research Institute, Vancouver, British Columbia, Canada;
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Yamin S, Ranger V, Stinchcombe A, Knoefel F, Gagnon S, Bédard M. Using Serial Trichotomization with Neuropsychological Measures to Inform Clinical Decisions on Fitness-to-Drive among Older Adults with Cognitive Impairment. Occup Ther Health Care 2020; 38:5-25. [PMID: 33249934 DOI: 10.1080/07380577.2020.1843750] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2020] [Accepted: 10/25/2020] [Indexed: 10/22/2022]
Abstract
Decisions related to driving safety and when to cease driving are complex and costly. There is an interest in developing an off-road driving test utilizing neuropsychological tests that could help assess fitness-to-drive. Serial trichotomization has demonstrated potential as it yields 100% sensitivity and specificity in retrospective test samples. The purpose of this study was to test serial trichotomization using four common neuropsychological tests (Trail Making Test Part A and B, Clock Drawing Test, and Modified Mini-Mental State Examination). Test scores from 105 patients who were seen in a memory clinic were abstracted. After applying the model, participants were classified as unfit, fit, or requiring further testing, 38.1%, 25.8%, and 36.1%, respectively. This study provides further evidence that trichotomization can facilitate the assessment of fitness-to-drive.
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Affiliation(s)
- Stephanie Yamin
- Faculty of Human Sciences, Saint Paul University (Ottawa), Ottawa, ON, Canada
- Bruyere Research Institute, Bruyère Continuing Care, Ottawa, ON, Canada
| | - Valerie Ranger
- School of Psychology, University of Ottawa, Ottawa, ON, Canada
| | - Arne Stinchcombe
- Department of Recreation and Leisure Studies, Brock University, Saint Catharines, ON, Canada
| | - Frank Knoefel
- Bruyere Research Institute, Bruyère Continuing Care, Ottawa, ON, Canada
| | - Sylvain Gagnon
- School of Psychology, University of Ottawa, Ottawa, ON, Canada
| | - Michel Bédard
- Centre for Research on Safe Driving, Lakehead University, Thunder Bay, ON, Canada
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Alvarez L, Classen S. Driving with Parkinson's disease: Cut points for clinical predictors of on-road outcomes: La conduite automobile et la maladie de Parkinson : Points de découpage pour les prédicteurs clinique des résultats des épreuves sur route. The Canadian Journal of Occupational Therapy 2018; 85:232-241. [PMID: 29635922 DOI: 10.1177/0008417418755458] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Parkinson's disease (PD) is a common neurodegenerative disorder that impacts a person's fitness to drive. Practitioners require a sensitive and predictive battery of clinical tests to identify at-risk drivers. PURPOSE This study aimed to identify clinical predictors and their optimal cut points, sensitivity, specificity, and predictive values of on-road outcomes in drivers with PD. METHOD Participants ( N = 101) underwent a comprehensive driving evaluation. We identified predictors of pass/fail outcomes through logistic regression and computed optimal cut points through receiver operating characteristic curves and corresponding Youden indexes. FINDINGS The Trail Making Test Part B (Trails B; sensitivity = .89, specificity = .74; positive predictive value [PPV] = .71; negative predictive value [NPV] = .91) and contrast sensitivity (sensitivity = .82, specificity = .63; PPV = .61; NPV = .84) emerged as significant predictors. The optimal cut point for the Trails B was 108 s (area under the curve = .86). IMPLICATIONS Occupational therapists can benefit from implementing Trails B and contrast sensitivity screening as part of in-office screening of potentially at-risk drivers with PD.
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Dickerson AE, Molnar L, Bedard M, Eby DW, Classen S, Polgar J. Transportation and Aging: An Updated Research Agenda for Advancing Safe Mobility. J Appl Gerontol 2017; 38:1643-1660. [PMID: 29165017 DOI: 10.1177/0733464817739154] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
This article discusses what is currently known about three important topics related to older driver safety and mobility: screening and evaluation, education and training interventions, and in-vehicle technology. Progress is being made to improve the safe mobility of older adults in these key areas; however, significant research gaps remain. This article advances the state of knowledge by identifying these gaps, and proposing further research topics will improve the lives of older adults. In addition, we discuss several themes that emerged from the review, including the need for multidisciplinary, community-wide solutions; large-scale, longitudinal studies; improved education/training for both older adults themselves and the variety of stakeholders involved in older adult transportation; and programs and interventions that are flexible and responsive to individual needs and differences.
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Affiliation(s)
| | - Lisa Molnar
- UMTRI, University of Michigan, Ann Arbor, MI, USA
| | | | - David W Eby
- UMTRI, University of Michigan, Ann Arbor, MI, USA
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Gibbons C, Smith N, Middleton R, Clack J, Weaver B, Dubois S, Bédard M. Using Serial Trichotomization With Common Cognitive Tests to Screen for Fitness to Drive. Am J Occup Ther 2017; 71:7102260010p1-7102260010p8. [PMID: 28218592 DOI: 10.5014/ajot.2017.019695] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
OBJECTIVE The aim of this study was to illustrate the use of serial trichotomization with five common tests of cognition to achieve greater precision in screening for fitness to drive. METHOD We collected data (using the Montreal Cognitive Assessment, Motor-Free Visual Perception Test, Clock-Drawing Test, Trail Making Test Part A and B [Trails B], and an on-road driving test) from 83 people referred for a driving evaluation. We identified cutpoints for 100% sensitivity and specificity for each test; the driving test was the gold standard. Using serial trichotomization, we classified drivers as either "Pass," "Fail," or "Indeterminate." RESULTS Trails B had the best sensitivity and specificity (66.3% of participants correctly classified). After applying serial trichotomization, we correctly identified the driving test outcome for 78.3% of participants. CONCLUSION A screening strategy using serial trichotomization of multiple test results may reduce uncertainty about fitness to drive.
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Affiliation(s)
- Carrie Gibbons
- Carrie Gibbons, MPH, is Research Coordinator, Centre for Applied Health Research, St. Joseph's Care Group, Thunder Bay, ON, Canada
| | - Nathan Smith
- Nathan Smith, MPH, is Research Assistant, Centre for Research on Safe Driving, Lakehead University, Thunder Bay, ON, Canada
| | - Randy Middleton
- Randy Middleton, MScOT, is Occupational Therapist, St. Joseph's Hospital, St. Joseph's Care Group, Thunder Bay, ON, Canada
| | - John Clack
- John Clack, MScOT, is Occupational Therapist, St. Joseph's Hospital, St. Joseph's Care Group, Thunder Bay, ON, Canada
| | - Bruce Weaver
- Bruce Weaver, MSc, is Research Associate, Centre for Research on Safe Driving, Lakehead University, Thunder Bay, ON, Canada, and Assistant Professor, Northern Ontario School of Medicine, Thunder Bay, ON, Canada
| | - Sacha Dubois
- Sacha Dubois, MPH, is Research Statistician, Centre for Applied Health Research, St. Joseph's Care Group, Thunder Bay, ON, Canada; Adjunct Professor, Lakehead University, Thunder Bay, ON, Canada; and Assistant Professor, Northern Ontario School of Medicine, Thunder Bay, ON, Canada
| | - Michel Bédard
- Michel Bédard, PhD, is Professor, Lakehead University and Northern Ontario School of Medicine, Thunder Bay, ON, Canada; Director, Centre for Research on Safe Driving, Lakehead University, Thunder Bay, ON, Canada; and Scientific Director, Centre for Applied Health Research, St. Joseph's Care Group, Thunder Bay, ON, Canada;
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Stern RA, Abularach LM, Seichepine DR, Alosco ML, Gavett BE, Tripodis Y. Office-Based Assessment of At-Risk Driving in Older Adults With and Without Cognitive Impairment. J Geriatr Psychiatry Neurol 2016; 29:352-360. [PMID: 27647790 DOI: 10.1177/0891988716666378] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND A multitest approach is optimal for the identification of at-risk driving among older adults. This study examined the predictive validity of a combination of office-based screening tests for on-road driving performance in older adults with and without mild cognitive impairment (MCI)/dementia. METHODS Forty-four normal control, 20 participants with MCI, and 20 participants with dementia completed a battery of office-based assessments. On-road driving evaluation classified participants as not at-risk (n = 65) or at-risk drivers (n = 19). RESULTS Logistic regression revealed age and 2 tests of visual attention abilities (Useful Field of View [UFOV] Divided Attention and Neuropsychological Assessment Battery [NAB] Driving Scenes) best predicted at-risk drivers ( C statistic = 0.90); no cutoff score had both sensitivity and specificity >80%. CONCLUSIONS Future research on larger and more clinically representative neurological samples will improve understanding of the utility of the UFOV Divided Attention and NAB Driving Scenes in detecting at-risk older adult drivers in the clinic.
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Affiliation(s)
- Robert A Stern
- 1 Boston University Alzheimer's Disease and CTE Center, Boston, MA, USA.,2 Departments of Neurology, Neurosurgery, and Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, USA
| | - Linda M Abularach
- 1 Boston University Alzheimer's Disease and CTE Center, Boston, MA, USA
| | | | - Michael L Alosco
- 1 Boston University Alzheimer's Disease and CTE Center, Boston, MA, USA
| | - Brandon E Gavett
- 3 Department of Psychology, University of Colorado at Colorado Springs, Springs, CO, USA
| | - Yorghos Tripodis
- 1 Boston University Alzheimer's Disease and CTE Center, Boston, MA, USA.,4 Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
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Abstract
Occupational therapists, both generalists and specialists, have a critical role in providing services to senior drivers. These services include evaluating fitness-to-drive, developing interventions to support community mobility, and facilitating the transition from driving to non-driving when necessary for personal and community safety. The evaluation component and decision-making process about fitness-to-drive are highly dependent on the use of screening and assessment tools. The purpose of this paper is to briefly present the rationale and context for 12 consensus statements about the usefulness and appropriateness of screening and assessment tools to determine fitness-to-drive, within the occupational therapy clinical setting, and their implications on community mobility.
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Affiliation(s)
- Michel Bédard
- 1Centre for Research on Safe Driving, Lakehead University, Thunder Bay, Ontario, Canada
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