Evidence map›Paper›PMID 42733580›Full record

ArticleArthroplasty today2026

Predicting 5-Year Mortality After Prosthetic Joint Infection Using a 30-Item Accumulated Frailty Index in a 13,371-Patient Multicenter Cohort.

Kole Joachim, Brandon Gettleman, Joshua Wiener, Christopher Hamad, Adrian Lin, Amanda Perrotta, Sumin Jeong, Othneil Sparks, Ezekiel Dingle, Alexandra Stavrakis and 1 more

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Article in Arthroplasty today, 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

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

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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

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Kole JoachimDavid Geffen School of Medicine at the University of California, Los Angeles, CA, USA.
Brandon GettlemanDepartment of Orthopaedic Surgery, University of California, Los Angeles, CA, USA.
Joshua WienerDepartment of Orthopaedic Surgery, University of California, Los Angeles, CA, USA.
Christopher HamadDepartment of Orthopaedic Surgery, University of California, Los Angeles, CA, USA.
Adrian LinDavid Geffen School of Medicine at the University of California, Los Angeles, CA, USA.
Amanda PerrottaDavid Geffen School of Medicine at the University of California, Los Angeles, CA, USA.
Sumin JeongDavid Geffen School of Medicine at the University of California, Los Angeles, CA, USA.
Othneil SparksDavid Geffen School of Medicine at the University of California, Los Angeles, CA, USA.
Ezekiel DingleDavid Geffen School of Medicine at the University of California, Los Angeles, CA, USA.
Alexandra StavrakisDepartment of Orthopaedic Surgery, University of California, Los Angeles, CA, USA.
Alexander B ChristDepartment of Orthopaedic Surgery, University of California, Los Angeles, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Prosthetic joint infection (PJI) involves a significant mortality risk, with 26-30% of patients dying within 5 years. Current risk assessment tools offer limited prognostic accuracy for PJI patients. This study aimed to develop a prognostic model for 5-year all-cause mortality after PJI using age and frailty assessments. Methods: We conducted a retrospective cohort study using TriNetX electronic health record data from 13,371 PJI patients diagnosed before 2021. We developed a 30-item Accumulated Frailty Index (AFI-Core30) that incorporates comorbidities, physiologic deficits, medications, and functional status. Generalized additive modeling was used to predict 5-year mortality, with 80% of data allocated for training and 20% for validation. Model performance was assessed using discrimination metrics and calibration techniques. Results: The mean patient age was 63.1 ± 11.4 years, with an overall 5-year mortality rate of 13.1%. Both AFI-Core30 and age independently predicted mortality (odds ratio per 0.1 AFI increase = 1.84, 95% confidence interval: 1.74-1.95, Conclusions: This validated prognostic model offers the first large-scale, frailty-based tool for predicting mortality in PJI patients. The framework allows for evidence-based risk assessment and personalized treatment planning, shifting PJI prognostication from subjective judgment to objective risk measurement for better clinical decision-making.

Indexed as

MortalityPrediction modelsProsthetic joint infection

Identifiers

PMID42733580
PMCPMC13571269

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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.