Calc Function

    • Calcs that help predict probability of a diseaseDiagnosis
    • Subcategory of 'Diagnosis' designed to be very sensitiveRule Out
    • Disease is diagnosed: prognosticate to guide treatmentPrognosis
    • Numerical inputs and outputsFormula
    • Med treatment and moreTreatment
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    Patent Pending

    Veterans Aging Cohort Study (VACS) 2.0 Index

    Estimates risk of 5-year all-cause mortality in patients with HIV, an update to the Veterans Aging Cohort Study (VACS) 1.0 Index.
    When to Use
    Why Use

    Do you use the Veterans Aging Cohort Study (VACS) 2.0 Index and want to contribute your expertise? Join our contributor team!

    The 2020 published model (Tate 2020) showed improved discrimination in mortality prediction across 9 subgroups, thereby making it more generalizable to other patient populations as compared to the original VACS Index.

    years
    Male
    Female
    kg/m²
    × 10⁶ cells/L
    copies/mL
    g/dL
    U/L
    U/L
    × 10³/µL
    × 10³ cells/µL
    g/dL
    No
    Yes

    Result:

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    Next Steps
    Evidence
    Creator Insights
    Amy C. Justice, MD, PhD

    About the Creator

    Amy Justice, MD, PhD, is the CNH Long Professor of Medicine and of Public Health at Yale University and a Staff Physician at the VA Connecticut Healthcare System. As principal investigator of the Veterans Aging Cohort Study (VACS), she has more than 20 years of experience developing and validating predictive indices using electronic health record data.

    To view Amy C. Justice, MD, PhD's publications, visit PubMed

    Janet Tate, M.P.H., Sc.D.

    About the Creator

    Janet Tate, M.P.H., Sc.D., is the director of the biostatistics core of the Veterans Aging Cohort Study (VACS) at the Yale School of Medicine in Connecticut. Her work includes structural modeling, imputation, longitudinal analyses, and competing risk analyses.

    To view Janet Tate, M.P.H., Sc.D.'s publications, visit PubMed

    About the Creator
    Amy C. Justice, MD, PhD
    Janet Tate, M.P.H., Sc.D.