Literature DB >> 27053588

Competing Risk of Death When Comparing Tibial Implant Types in Total Knee Arthroplasty.

Hilal Maradit Kremers1, Walter K Kremers2, Rafael J Sierra2, David G Lewallen2, Daniel J Berry2.   

Abstract

BACKGROUND: In the presence of a competing risk of death, the Kaplan-Meier method is known to overestimate the probability of implant failure. To our knowledge, the magnitude of the competing risk of death in survivorship analyses in total knee arthroplasty has not been studied. The purpose of this study was to determine the extent of the competing risk of death in different age groups during a long-term follow-up of patients who had undergone primary total knee arthroplasty.
METHODS: The study population comprised 22,864 primary total knee arthroplasties at a large medical center in the United States. We compared the overall revision outcomes estimated using the Kaplan-Meier method and the cumulative incidence function over a mean follow-up of 7.8 years (range, 0.1 to 26.3 years).
RESULTS: The risk of death exceeded the risk of revision by a factor of 4 at twelve years following the surgical procedure. The Kaplan-Meier method overestimated the risk of revision by 3% at five years, 14% at ten years, 32% at fifteen years, and 57% at twenty years. At ten years after the surgical procedure, the risk of death exceeded the risk of revision by a factor of 15 in the all-polyethylene group and by a factor of 3.5 in the metal modular group. The Kaplan-Meier method overestimated the ten-year risk of revision by 18% in the all-polyethylene group and by 11% in the metal modular group. After accounting for the higher competing risk of death in the all-polyethylene group, the cumulative incidence of revision in the metal modular group was about 2.5 to three times higher than that in the all-polyethylene group at ten years.
CONCLUSIONS: Although the Kaplan-Meier and cumulative incidence methods yielded different implant survival estimates beyond ten years (Kaplan-Meier overestimates implant failure), the size of the bias was small at earlier time points. The extent of overestimation depends on the duration of follow-up and the magnitude of the competing risk of death. CLINICAL RELEVANCE: This study examines the clinical relevance of the competing risk of death in total knee arthroplasty.
Copyright © 2016 by The Journal of Bone and Joint Surgery, Incorporated.

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Year:  2016        PMID: 27053588     DOI: 10.2106/JBJS.15.00488

Source DB:  PubMed          Journal:  J Bone Joint Surg Am        ISSN: 0021-9355            Impact factor:   5.284


  3 in total

1.  Competing Risk Analysis: What Does It Mean and When Do We Need It in Orthopedics Research?

Authors:  Hilal Maradit Kremers; Katrina L Devick; Dirk R Larson; David G Lewallen; Daniel J Berry; Cynthia S Crowson
Journal:  J Arthroplasty       Date:  2021-04-21       Impact factor: 4.435

2.  The Cox model is better than the Fine and Gray model when estimating relative revision risks from arthroplasty register data.

Authors:  Jonas Ranstam; Otto Robertsson
Journal:  Acta Orthop       Date:  2017-08-03       Impact factor: 3.717

3.  Kaplan-Meier and Cox Regression Are Preferable for the Analysis of Time to Revision of Joint Arthroplasty: Thirty-One Years of Follow-up for Cemented and Uncemented THAs Inserted From 1987 to 2000 in the Norwegian Arthroplasty Register.

Authors:  Stein Atle Lie; Anne Marie Fenstad; Stein Håkon L Lygre; Gard Kroken; Eva Dybvik; Jan-Erik Gjertsen; Geir Hallan; Håvard Dale; Ove Furnes
Journal:  JB JS Open Access       Date:  2022-02-23
  3 in total

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