Diagnostic Accuracy of the Veteran Affairs' Traumatic Brain Injury Screen.
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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Base de dados:
MEDLINE
Assunto principal:
Algoritmos
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Concussão Encefálica
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Avaliação de Sintomas
Tipo de estudo:
Diagnostic_studies
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Etiology_studies
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Guideline
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Observational_studies
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Prevalence_studies
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Prognostic_studies
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Qualitative_research
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Risk_factors_studies
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Screening_studies
Limite:
Female
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Humans
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Male
País como assunto:
America do norte
Idioma:
En
Ano de publicação:
2018
Tipo de documento:
Article