Literature DB >> 36149242

Creation of a Total Hip Arthroplasty Patient-Specific Dislocation Risk Calculator.

Cody C Wyles1, Hilal Maradit-Kremers1, Dirk R Larson2, David G Lewallen1, Michael J Taunton1, Robert T Trousdale1, Mark W Pagnano1, Daniel J Berry1, Rafael J Sierra1.   

Abstract

BACKGROUND: Many risk factors have been described for dislocation following total hip arthroplasty (THA), yet a patient-specific risk assessment tool remains elusive. The purpose of this study was to develop a high-dimensional, patient-specific risk-stratification nomogram that allows dynamic risk modification based on operative decisions.
METHODS: In this study, 29,349 THAs, including 21,978 primary and 7371 revision cases, performed between 1998 and 2018 were evaluated. During a mean 6-year follow-up, 1521 THAs were followed by a dislocation. Patients were characterized, through individual-chart review, according to non-modifiable factors (demographics, indication for THA, spine disease, prior spine surgery, and neurologic disease) and modifiable operative decisions (operative approach, femoral head diameter, and type of acetabular liner [standard, elevated, constrained, or dual-mobility]). Multivariable regression models and nomograms were developed with dislocation as a binary outcome at 1 year and 5 years postoperatively.
RESULTS: Dislocation risk, based on patient-specific comorbidities and operative decisions, was wide-ranging-from 0.3% to 13% at 1 year and from 0.4% to 19% at 5 years after primary THA, and from 2% to 32% at 1 year and from 3% to 42% at 5 years after revision THA. In the primary-THA group, the direct anterior approach (hazard ratio [HR] = 0.27) and lateral approach (HR = 0.58) decreased the dislocation risk compared with the posterior approach. After adjusting for the approach in that group, the combination of a ≥36-mm-diameter femoral head and an elevated liner yielded the largest decrease in dislocation risk (HR = 0.28), followed by dual-mobility constructs (HR = 0.48). In the patients who underwent revision THA, the adjusted risk of dislocation was most markedly decreased by the use of a dual-mobility construct (HR = 0.40), followed by a ≥36-mm femoral head and an elevated liner (HR = 0.88). The adjusted risk of dislocation after revision THA was decreased by acetabular revision (HR = 0.58), irrespective of whether other components were revised.
CONCLUSIONS: Our patient-specific dislocation risk calculator, which was strengthened by our use of a robust multivariable model that accounted for comorbidities associated with instability, demonstrated wide-ranging patient-specific risks based on comorbidity profiles. The resultant nomograms can be used as a screening tool to identify patients at high risk for dislocation following THA and to individualize operative decisions for evidence-based risk mitigation. LEVEL OF EVIDENCE: Prognostic Level IV. See Instructions for Authors for a complete description of levels of evidence.
Copyright © 2022 by The Journal of Bone and Joint Surgery, Incorporated.

Entities:  

Mesh:

Year:  2022        PMID: 36149242      PMCID: PMC9587736          DOI: 10.2106/JBJS.21.01171

Source DB:  PubMed          Journal:  J Bone Joint Surg Am        ISSN: 0021-9355            Impact factor:   6.558


  16 in total

1.  Late Dislocation Following Total Hip Arthroplasty: Spinopelvic Imbalance as a Causative Factor.

Authors:  Nathanael Heckmann; Braden McKnight; Michael Stefl; Nicholas A Trasolini; Hiroyuki Ike; Lawrence D Dorr
Journal:  J Bone Joint Surg Am       Date:  2018-11-07       Impact factor: 5.284

Review 2.  Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors.

Authors:  F E Harrell; K L Lee; D B Mark
Journal:  Stat Med       Date:  1996-02-28       Impact factor: 2.373

3.  2020 Otto Aufranc Award: Malseating of modular dual mobility liners.

Authors:  Joey Romero; Amanda Wach; Scott Silberberg; Yu-Fen Chiu; Geoffrey Westrich; Timothy M Wright; Douglas E Padgett
Journal:  Bone Joint J       Date:  2020-07       Impact factor: 5.082

4.  "True" Cumulative Incidence of and Risk Factors for Hip Dislocation within 2 Years After Primary Total Hip Arthroplasty Due to Osteoarthritis: A Nationwide Population-Based Study from the Danish Hip Arthroplasty Register.

Authors:  Lars L Hermansen; Bjarke Viberg; Lars Hansen; Soeren Overgaard
Journal:  J Bone Joint Surg Am       Date:  2021-02-17       Impact factor: 5.284

5.  Otto Aufranc Award: Dual-mobility Constructs in Revision THA Reduced Dislocation, Rerevision, and Reoperation Compared With Large Femoral Heads.

Authors:  Molly A Hartzler; Matthew P Abdel; Peter K Sculco; Michael J Taunton; Mark W Pagnano; Arlen D Hanssen
Journal:  Clin Orthop Relat Res       Date:  2018-02       Impact factor: 4.176

6.  Assessing calibration of prognostic risk scores.

Authors:  Cynthia S Crowson; Elizabeth J Atkinson; Terry M Therneau
Journal:  Stat Methods Med Res       Date:  2013-07-30       Impact factor: 3.021

7.  Dislocation rates following primary total hip arthroplasty have plateaued in the Medicare population.

Authors:  Akshay Goel; Edmund C Lau; Kevin L Ong; Daniel J Berry; Arthur L Malkani
Journal:  J Arthroplasty       Date:  2014-11-26       Impact factor: 4.757

8.  Dislocation of a primary total hip arthroplasty is more common in patients with a lumbar spinal fusion.

Authors:  A J Buckland; V Puvanesarajah; J Vigdorchik; Ran Schwarzkopf; A Jain; E O Klineberg; R A Hart; J J Callaghan; H Hassanzadeh
Journal:  Bone Joint J       Date:  2017-05       Impact factor: 5.082

9.  Effect of dislocation timing following primary total hip arthroplasty on the risk of redislocation and revision.

Authors:  German A Norambuena; Cody C Wyles; Robert E Van Demark; Robert T Trousdale
Journal:  Hip Int       Date:  2019-02-11       Impact factor: 2.135

10.  The cost-effectiveness of dual mobility in a spinal deformity population with high risk of dislocation: a computer-based model.

Authors:  A M Elbuluk; J Slover; A A Anoushiravani; Ran Schwarzkopf; N Eftekhary; J M Vigdorchik
Journal:  Bone Joint J       Date:  2018-10       Impact factor: 5.082

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