Evidence map›Paper›PMID 41540473›Full record

ArticleJournal of orthopaedic surgery and research2026

Identifying patients at risk in revision arthroplasty: a comprehensive single-centre analysis.

Matthias Wolf, Burkhard Lehner, Andreas Geisbüsch, Christian Merle, Tilman Walker, Julian Deisenhofer

Abstract read
In one paragraph

Article in Journal of orthopaedic surgery and research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Matthias WolfUniversitätsklinikum Heidelberg, Orthopädische Universitätsklinik, Schlierbacher Landstraße 200a, 69118, Heidelberg, Germany. Matthias.Wolf@med.uni-heidelberg.de.
Burkhard LehnerUniversitätsklinikum Heidelberg, Orthopädische Universitätsklinik, Schlierbacher Landstraße 200a, 69118, Heidelberg, Germany.
Andreas GeisbüschUniversitätsklinikum Heidelberg, Orthopädische Universitätsklinik, Schlierbacher Landstraße 200a, 69118, Heidelberg, Germany.
Christian MerleDiakonie-Klinikum Stuttgart, Rosenbergstraße 38, 70176, Stuttgart, Germany.
Tilman WalkerUniversitätsklinikum Heidelberg, Orthopädische Universitätsklinik, Schlierbacher Landstraße 200a, 69118, Heidelberg, Germany.
Julian DeisenhoferUniversitätsklinikum Heidelberg, Orthopädische Universitätsklinik, Schlierbacher Landstraße 200a, 69118, Heidelberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe demand for revision hip and knee arthroplasty (rTHA/rTKA) is increasing, while they continue to be associated with greater perioperative risks, higher resource demands, and greater variability in outcomes compared with primary procedures. Identifying precise risk factors is essential for effective perioperative management and resource planning.

methodsA retrospective analysis of 2,123 revision total hip (rTHA, n = 1,301) and knee arthroplasties (rTKA, n = 822) performed from 2010 to 2019 at a tertiary German centre was conducted. Adverse events (AE), length of hospital stay (LOS), and predictors including age, Elixhauser Comorbidity Index (EI), joint type, and indication were analysed using multivariate regression models.

resultsThe overall AE rate was 13.1%, significantly higher in rTHA than in rTKA (12.6% vs. 8.8%; p = 0.008), particularly for infections and mechanical complications. Mean LOS was 19 ± 14 days. Infection, age, EI, joint type, dislocation, and periprosthetic fracture independently predicted AE and LOS. Infection was the strongest predictor overall (AE: OR 5.4; LOS: Coefficient 1.6), with periprosthetic fractures being highly predictive in rTKA (OR 9.8).

conclusionsInfection (in all revisions), periprosthetic fractures (in rTKA), advanced age, and high comorbidity burden were critical determinants of perioperative adverse events and hospital utilisation. Focused perioperative care strategies targeting these risk groups are essential to mitigate adverse outcomes and optimise healthcare resources.

Indexed as

Arthroplasty, Replacement, HipArthroplasty, Replacement, KneePostoperative ComplicationsReoperationAgedAged, 80 and overFemaleHumansLength of StayMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsArthroplastyComorbidityComplicationEmergencyHipKneePerioperative careSurgical procedures

Identifiers

PMID41540473
PMCPMC12849725

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.