The U-HIP algorithm, a prediction model for in-hospital mortality in geriatric hip fracture patients
The increase in the number of geriatric hip fracture patients is a global health concern. They constitute a fast-growing group of patients who are notorious for adverse outcomes. Patients aged 85 or above are at high risk of adverse outcomes, making them the most clinically relevant patient group. Identification of high-risk patients in an early stage is vital for guiding surgical management and shared decision making. The authors developed a multivariable prediction model for in-hospital mortality in geriatric hip fracture patients with four predictors that are always known upon presentation at the emergency department.
Research authors: Henk Jan Schuijt, D.P.J. Smeeing, F.S. Würdemann, J.H. Hegeman, O.C. Geraghty, R.M. Houwert, M.J. Weaver, D. van der Velde, On behalf of the Dutch Hip Fracture Audit Taskforce study group:, G. de Klerk, H.A.F. Luning, A.H.P. Niggebrugge, M. Regtuijt, J. Snoek, C. Stevens, E.J.M.M. Verleisdonk
Details Formula Study characteristics Files & References
★★
Model author
Model ID
2268
Version
1.12
Revision date
2020-08-06
MeSH terms
  • Traumatology
  • Geriatric Assessment
  • General Surgery
  • Orthopedic Surgery
  • Geriatrics
  • Model type
    Logistic regression (Calculation)
    Status
    public
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    Formula
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    Condition Formula

    Additional information

    Design: multicenter prospective cohort study
    Setting: six Dutch trauma centers, level two and three
    Participants: hip fracture patients aged 85 or older undergoing surgery
    Intervention: hip fracture surgery
    Main Outcome Measurements: in-hospital mortality
    Results: The development cohort consisted of 1014 patients. In-hospital mortality was 4%. Age, male sex, ASA classification and hemoglobin levels at presentation were independent predictors of in-hospital mortality. The bootstrap adjusted performance showed good discrimination with a c-statistic of 0.77.
    Conclusion: Age, male sex, higher ASA classification and lower hemoglobin levels at presentation are robust independent predictors of in-hospital mortality in geriatric hip fracture patients and were incorporated in a simple prediction model with good accuracy and no lack of fit. 

    Study Population

    Total population size: 1014

    Additional characteristics

    No additional characteristics defined
    The U-HIP algorithm, a prediction model for in-hospital mortality in geriatric hip fracture patients
    V-1.12-2268.20.08.06
    Refer to Intended Use for instructions before use
    Evidencio B.V., Irenesingel 19, 7481 GJ, Haaksbergen, the Netherlands

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    chance of in-hospital mortality

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    chance of in-hospital mortality

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    Result interpretation

    The predicted chance of in-hospital mortality after hip fracture surgery for this patient

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    Calculations alone should never dictate patient care, and are no substitute for professional judgement. See our full disclaimer.

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