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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.
Aims:
The aim of this study was to evaluate and compare the prognostic value of three classification systems for periprosthetic joint infection (PJI) - McPherson, PJI-TNM, and JS-BACH - by analyzing their association with three key clinical outcomes: recurrence of infection after the initial treatment, final PJI status, and PJI-related mortality.
Methods:
This was a retrospective cohort study using a prospectively maintained institutional database. All patients who underwent surgery for PJI of the hip or knee between January 2011 and December 2022 were included, provided that they had a minimum of two years of follow-up, unless they had earlier recurrence of infection or had died. Each case was classified according to the three systems and grouped into three levels of severity (A: less severe; B: intermediate; C: most severe) to allow direct comparison. Associations between the variables of the classification systems and outcomes were examined using chi-squared and Fisher's exact tests. Discriminative ability was assessed using receiver operating characteristic (ROC) curve analysis and the area under the curve was calculated for each outcome.
Results:
Of the 186 patients who were included, recurrence after initial treatment occurred in 50 (26.9%) and PJI-related mortality in 19 patients (10.2%). Among the sub-categories of the classifications, host-related variables consistently correlated with most outcomes across all systems. Local extremity grade/soft-tissues also correlated with recurrence after initial treatment throughout. The JS-BACH classification was significantly associated with all three outcomes: recurrence (p = 0.002), final PJI status (p = 0.008), and mortality (p < 0.001). It also showed the best discriminative ability on ROC analysis. PJI-TNM was significantly associated with the final status (p = 0.004) and mortality (p = 0.002), but not with recurrence of infection. The McPherson classification was only significantly associated with the final PJI status (p = 0.039). Patients classified as 'limited options' in JS-BACH had a 28.6% mortality rate, while none in the 'uncomplicated' group died or required suppressive antibiotic treatment.
Conclusion:
The JS-BACH classification system showed the best prognostic performance, correlating with all the outcomes which were evaluated and offering a balanced combination of simplicity, clinical use, and predictive value. The host status remained a critical predictor regardless of which classification system was used.
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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