The prognostic accuracy of three classification systems used for periprosthetic joint infection : a comparative study

João de Sousa Seixas1, Laís Simonato Altoé2, Ana Cláudia Santos2,3

  • 1Orthopaedic Department, Unidade Local de Saúde Santo António, Porto, Portugal.

Abstract

Insights

The JS-BACH classification system best predicts periprosthetic joint infection (PJI) outcomes, including recurrence, final status, and mortality. Host factors are critical predictors across all evaluated PJI classification systems.

Area of Science:

  • Orthopedics
  • Infectious Diseases
  • Medical Classification Systems

Background:

  • Periprosthetic joint infection (PJI) is a severe complication following joint replacement surgery.
  • Accurate prognostic classification systems are crucial for guiding treatment and predicting patient outcomes.
  • Existing systems like McPherson, PJI-TNM, and JS-BACH require comparative evaluation.

Purpose of the Study:

  • To compare the prognostic value of the McPherson, PJI-TNM, and JS-BACH classification systems for PJI.
  • To assess the association of these systems with PJI recurrence, final PJI status, and PJI-related mortality.

Main Methods:

  • Retrospective cohort study of 186 patients with hip or knee PJI (2011-2022).
  • Patients classified using McPherson, PJI-TNM, and JS-BACH systems, grouped by severity.
  • Statistical analysis included chi-squared tests, Fisher's exact tests, and ROC curve analysis to assess associations and discriminative ability.

Main Results:

  • The JS-BACH classification demonstrated significant associations with recurrence (p=0.002), final PJI status (p=0.008), and mortality (p<0.001), showing the best discriminative ability.
  • PJI-TNM was associated with final status (p=0.004) and mortality (p=0.002), but not recurrence.
  • McPherson was only significantly associated with final PJI status (p=0.039). Host-related variables consistently correlated with outcomes across all systems.

Conclusions:

  • The JS-BACH classification system offers superior prognostic performance for PJI, balancing simplicity, clinical utility, and predictive value.
  • Host status is a critical predictor of PJI outcomes, irrespective of the classification system used.
  • The findings support the JS-BACH system for improved PJI management and outcome prediction.

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