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Diagnostic Accuracy of the Veteran Affairs' Traumatic Brain Injury Screen.
Pape, Theresa Louise Bender; Smith, Bridget; Babcock-Parziale, Judith; Evans, Charlesnika T; Herrold, Amy A; Phipps Maieritsch, Kelly; High, Walter M.
Afiliação
  • Pape TLB; Department of Veterans Affairs (VA), Research Service, Edward Hines Jr. VA Hospital, Hines, IL; VA, Center of Innovation for Complex Chronic Healthcare, Edward Hines Jr. VA Hospital, Hines, IL; Department of Physical Medicine and Rehabilitation, Northwestern University Feinberg School of Medicine, C
  • Smith B; VA, Center of Innovation for Complex Chronic Healthcare, Edward Hines Jr. VA Hospital, Hines, IL; Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL.
  • Babcock-Parziale J; Southern Arizona VA Health Care System, Tucson, AZ.
  • Evans CT; VA, Center of Innovation for Complex Chronic Healthcare, Edward Hines Jr. VA Hospital, Hines, IL; Department of Preventive Medicine and Center for Healthcare Studies, Institute of Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL.
  • Herrold AA; Department of Veterans Affairs (VA), Research Service, Edward Hines Jr. VA Hospital, Hines, IL; VA, Center of Innovation for Complex Chronic Healthcare, Edward Hines Jr. VA Hospital, Hines, IL; Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chi
  • Phipps Maieritsch K; Department of Veterans Affairs, Mental Health Service, Edward Hines Jr. VA Hospital, Hines, IL.
  • High WM; Lexington VA Medical Center, Somerset, KY; Departments of Physical Medicine and Rehabilitation, Neurosurgery, and Psychology, University of Kentucky College of Medicine, Lexington, KY.
Arch Phys Med Rehabil ; 99(7): 1370-1382, 2018 07.
Article em En | MEDLINE | ID: mdl-29355506
OBJECTIVE: To comprehensively estimate the diagnostic accuracy and reliability of the Department of Veterans Affairs (VA) Traumatic Brain Injury (TBI) Clinical Reminder Screen (TCRS). DESIGN: Cross-sectional, prospective, observational study using the Standards for Reporting of Diagnostic Accuracy criteria. SETTING: Three VA Polytrauma Network Sites. PARTICIPANTS: Operation Iraqi Freedom, Operation Enduring Freedom veterans (N=433). MAIN OUTCOME MEASURES: TCRS, Comprehensive TBI Evaluation, Structured TBI Diagnostic Interview, Symptom Attribution and Classification Algorithm, and Clinician-Administered Posttraumatic Stress Disorder (PTSD) Scale. RESULTS: Forty-five percent of veterans screened positive on the TCRS for TBI. For detecting occurrence of historical TBI, the TCRS had a sensitivity of .56 to .74, a specificity of .63 to .93, a positive predictive value (PPV) of 25% to 45%, a negative predictive value (NPV) of 91% to 94%, and a diagnostic odds ratio (DOR) of 4 to 13. For accuracy of attributing active symptoms to the TBI, the TCRS had a sensitivity of .64 to .87, a specificity of .59 to .89, a PPV of 26% to 32%, an NPV of 92% to 95%, and a DOR of 6 to 9. The sensitivity was higher for veterans with PTSD (.80-.86) relative to veterans without PTSD (.57-.82). The specificity, however, was higher among veterans without PTSD (.75-.81) relative to veterans with PTSD (.36-.49). All indices of diagnostic accuracy changed when participants with questionably valid (QV) test profiles were eliminated from analyses. CONCLUSIONS: The utility of the TCRS to screen for mild TBI (mTBI) depends on the stringency of the diagnostic reference standard to which it is being compared, the presence/absence of PTSD, and QV test profiles. Further development, validation, and use of reproducible diagnostic algorithms for symptom attribution after possible mTBI would improve diagnostic accuracy.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Concussão Encefálica / Avaliação de Sintomas Tipo de estudo: Diagnostic_studies / Etiology_studies / Guideline / Observational_studies / Prevalence_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies / Screening_studies Limite: Female / Humans / Male País como assunto: America do norte Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Concussão Encefálica / Avaliação de Sintomas Tipo de estudo: Diagnostic_studies / Etiology_studies / Guideline / Observational_studies / Prevalence_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies / Screening_studies Limite: Female / Humans / Male País como assunto: America do norte Idioma: En Ano de publicação: 2018 Tipo de documento: Article