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Updated: Nov 21, 2025

In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy
Published on: July 2, 2021
Development of a diagnostic algorithm identifying cases of dislocation after primary total hip arthroplasty-based on
Lars L Hermansen1,2,3, Bjarke Viberg4,5, Søren Overgaard2
1Department of Orthopedics, Hospital of South West Jutland, Esbjerg.
Insights
An algorithm accurately identifies total hip arthroplasty dislocations using Danish National Patient Register codes. This method enhances orthopedic register data quality for improved patient care and outcomes.
Area of Science:
- Orthopedic surgery
- Health informatics
- Medical data analysis
Background:
- Dislocations of total hip arthroplasties (THA) are common but often underreported in orthopedic registers.
- Accurate identification of THA dislocations is crucial for quality monitoring and patient safety.
Purpose of the Study:
- To develop and validate an algorithm for identifying THA dislocations using codes from the Danish National Patient Register (DNPR).
- To achieve high sensitivity, specificity, and positive predictive value (PPV) in identifying THA dislocations.
Main Methods:
- Utilized data from the Danish Hip Arthroplasty Register (DHR) for patients undergoing primary osteoarthritis THA (n=31,762) from 2010-2014.
- Extracted hospital contact data from the DNPR over a 2-year follow-up period.
- Conducted a nationwide review of 5,096 patient files to validate identified dislocations and applied codes.
Main Results:
- Identified 1,890 hip dislocations among 1,094 THAs.
- An initial algorithm using specific codes achieved 63% sensitivity and 98% PPV.
- Optimized algorithm with additional codes reached 91% sensitivity and 93% PPV, with specificity >99% throughout.
- Further steps increased sensitivity to 95% but reduced PPV to 82%.
Conclusions:
- The developed algorithm effectively identifies THA dislocations with high accuracy.
- While surgeons code correctly, data transfer to discharge summaries can be inconsistent.
- This algorithm holds potential for enhancing Danish quality registers for orthopedic procedures.
Abstract:
Background and purpose - Dislocation of total hip arthroplasties (THA) is often treated with closed reduction and traditionally not registered in orthopedic registers. This study aimed to create an algorithm designed to identify cases of dislocations of THAs with high sensitivity, specificity, and positive predictive value (PPV) based on codes from the Danish National Patient Register (DNPR).Patients and methods - All patients (n = 31,762) with primary osteoarthritis undergoing THA from January 1, 2010 to December 31, 2014 were included from the Danish Hip Arthroplasty Register (DHR). We extracted available data for every hospital contact in the DNPR during a 2-year follow-up period, then conducted a comprehensive nationwide review of 5,096 patient files to register all dislocations and applied codes.Results - We identified 1,890 hip dislocations among 1,094 of the included 31,762 THAs. More than 70 different diagnoses and 55 procedural codes were coupled to the hospital contacts with dislocation. A combination of the correct codes produced a sensitivity of 63% and a PPV of 98%. Adding alternative and often applied codes increased the sensitivity to 91%, while the PPV was maintained at 93%. Additional steps increased sensitivity to 95% but at the expense of an unacceptable decrease in the PPV to 82%. Specificity was, in all steps, greater than 99%.Interpretation - The developed algorithm achieved high and acceptable values for sensitivity, specificity, and predictive values. We found that surgeons in most cases coded correctly. However, the codes were not always transferred to the discharge summary. In perspective, this kind of algorithm may be used in Danish quality registers.
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