Evidence map›Paper›PMID 40833495›Full record

ArticleInternational orthopaedics2025

Periprosthetic fracture in the setting of periprosthetic joint infection of the hip: evaluation and management of a single-centre cohort with forty six patients.

Markus Jaschke, Stavros Goumenos, Carsten Perka, Ulrich Stöckle, Andrej Trampuz, Sebastian Meller

Abstract read
In one paragraph

Article in International orthopaedics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Markus JaschkeCharité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Center for Musculoskeletal Surgery (CMSC), Berlin, Germany, Berlin, Germany. markus-jaschke@web.de.
Stavros GoumenosCharité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Center for Musculoskeletal Surgery (CMSC), Berlin, Germany, Berlin, Germany.
Carsten PerkaCharité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Center for Musculoskeletal Surgery (CMSC), Berlin, Germany, Berlin, Germany.
Ulrich StöckleCharité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Center for Musculoskeletal Surgery (CMSC), Berlin, Germany, Berlin, Germany.
Andrej TrampuzCharité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Center for Musculoskeletal Surgery (CMSC), Berlin, Germany, Berlin, Germany.
Sebastian MellerCharité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Center for Musculoskeletal Surgery (CMSC), Berlin, Germany, Berlin, Germany. sebastian.meller@charite.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsPeriprosthetic joint infection (PJI) and periprosthetic fracture (PPF) belong to the most devastating and complex complications following total hip arthroplasty, especially when both occur simultaneously. The aims of this study were (1) to evaluate the clinical outcome of PJI treatment in the setting of concomitant PPF and (2) to determine risk factors for reinfection.

methodsThis study retrospectively analysed PPF occurring during the treatment of PJI in total hip arthroplasty (THA). In total 46 THA were included with concomitant PJI and PPF, of which 28 fractures occurred during the explantation and 13 fractures occurred during the interval between explantation and reimplantation. The median follow-up period was 66 months (range: 24–90) and minimum follow up of at least two years. Patients without infection recurrence after their surgical management were considered to have a successful clinical outcome. Reinfections rates were estimated through Kaplan-Meier curve and potential risk factors for reinfection were analysed with univariate non-parametric tests. Multivariate Cox hazard regression was used in order to account for confounders.

resultsOverall, the success rate in our cohort was 71%. The overall mortality rate at follow-up was 22%. The estimated cumulative reinfection-free survival was 68% (95% CI = 80.9–50.5%) with a reinfection risk of 20% (95% CI = 10.3%-35.3%) in the first 12 months. Two patients (4.8%) had a re-fracture and another two (4.8%) had a recurrent hip dislocation that needed surgical intervention. High virulence pathogens (p = 0.038), difficult-to-treat pathogens (p = 0.016) and number of debridement during the interval (p = 0.043) were significant risk factors for reinfections. Difficult-to-treat pathogens were shown to be independent risk factors (p = 0.040).

conclusionThe reinfection rate of concomitant PJI and PPF is high and target treatment should be achieved. Significant risk factors for reinfection were presence of difficult-to-treat or highly virulent pathogens and increased number of debridement between explantation and reimplantation.

Indexed as

Arthroplasty, Replacement, HipHip ProsthesisPeriprosthetic FracturesProsthesis-Related InfectionsAdultAgedAged, 80 and overAnti-Bacterial AgentsDebridementFemaleFollow-Up StudiesHumansKaplan-Meier EstimateMaleMiddle AgedRecurrenceAnti-Bacterial AgentsOutcomePeriprosthetic fracturePeriprosthetic joint infectionRisk factors

Identifiers

PMID40833495
PMCPMC12488837

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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.