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
    • Suggested protocolsAlgorithm

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    Patent Pending

    BODE Index for COPD Survival

    Predicts survival in COPD patients.
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    INSTRUCTIONS

    Do not use in patients with asthma, inability to tolerate spirometry or 6 minute walk test, MI within the previous 4 months, unstable angina, CHF, or patients likely to die within 3 years from a cause other than COPD.

    When to Use
    Why Use

    Patients with COPD, as defined by >20 pack-year smoking history and FEV1/FVC ratio <0.7 measured 20 mins after albuterol given.

    Better than FEV1 alone at predicting all-cause mortality or death from respiratory causes (respiratory failure, pneumonia, pulmonary embolism).

    Result:

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    Next Steps
    Evidence
    Creator Insights

    Advice

    Does not predict clinical response to therapy.

    Formula

    Addition of the selected points:

     

    0 points

    1 point

    2 points

    3 points

    FEV1 (% of predicted)

    ≥65

    50–64

    36–49

    ≤35

    Distance walked in 6 min (m)

    ≥350

    250–349

    150–249

    ≤149

    MMRC dyspnea scale

    0–1

    2

    3

    4

    BMI

    >21

    ≤21

    --

    --

    Facts & Figures

    Interpretation:

    BODE Index

    4-year survival

    0–2

    80%

    3–4

    67%

    5–6

    57%

    7–10

    18%

    Survival estimates based on Kaplan-Meier curves from Celli 2004:

    Dr. Bartolome R. Celli

    About the Creator

    Bartolome R. Celli, MD, is a professor of medicine at Brigham and Women's Hospital, associated with Harvard Medical School. He specializes in pulmonary and critical care medicine. Dr. Celli’s main research interest is scoring systems in management of COPD.

    To view Dr. Bartolome R. Celli's publications, visit PubMed