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External Validation of Ten Prediction Models for 30-day Mortality Following Hip Fracture

NCT06961253 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 3500

Last updated 2025-11-17

No results posted yet for this study

Summary

This study aims to externally validate ten existing prediction models with a low risk of bias for 30-day mortality following hip fracture. Data will be collected from the Dutch Hip Fracture Audit (DHFA) and supplemented with structured and unstructured data extracted through text mining using CTcue. Approximately 35 clinical variables will be used, including factors consistently associated with short-term mortality. The primary outcome is all-cause mortality within 30 days after hip fracture. Predictive performance will be assessed through discrimination (AUC), explained variance (R²), and calibration analysis. Clinical usefulness will be evaluated using Net Benefit and Decision Curve Analysis. This study seeks to identify models with strong predictive performance and practical applicability to support shared decision-making between clinicians and patients.

Conditions

  • Hip Fracture
  • Hip Fracture Surgeries

Sponsors & Collaborators

  • JointResearch

    lead OTHER

Principal Investigators

  • Diederik H.R. Kempen, Dr. · OLVG

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-06-01
Primary Completion
2025-12-31
Completion
2026-06-01

Countries

  • Netherlands

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06961253 on ClinicalTrials.gov