Impact and Modification of the New PJI-TNM Classification for Periprosthetic Joint Infections

Andre Lunz1, Burkhard Lehner1, Moritz N Voss1

  • 1Department of Orthopaedics, Heidelberg University Hospital, Schlierbacher Landstrasse 200a, 69118 Heidelberg, Germany.

Insights

The new PJI-TNM classification reliably predicts periprosthetic joint infection (PJI) treatment outcomes and surgical invasiveness. An adjusted "PJI-pTNM" version offers a simpler clinical alternative.

Area of Science:

  • Orthopedics
  • Infectious Diseases
  • Surgical Classification Systems

Background:

  • Periprosthetic joint infections (PJI) are complex, necessitating standardized classification.
  • The 2020 PJI-TNM classification, based on oncological TNM staging, aims to address PJI complexity, severity, and diversity.
  • Clinical implementation and validation of the PJI-TNM classification are crucial for therapeutic and prognostic assessment.

Purpose of the Study:

  • To implement and evaluate the PJI-TNM classification in a clinical setting.
  • To determine the therapeutic and prognostic value of the PJI-TNM classification.
  • To propose modifications for an improved, clinically applicable classification system.

Main Methods:

  • Retrospective cohort study of 80 patients undergoing two-stage revision for knee PJI (2017-2020).
  • Assessment of correlations between preoperative PJI-TNM classification and surgical outcomes (invasiveness, reimplantation, mortality).
  • Development and evaluation of a modified, simplified classification (PJI-pTNM).

Main Results:

  • The PJI-TNM classification (original and modified) showed significant correlations with surgical invasiveness (duration, blood/bone loss).
  • Both classifications reliably predicted reimplantation likelihood and 12-month patient mortality.
  • Statistically significant correlations were identified for both the original and modified PJI-TNM classifications.

Conclusions:

  • The PJI-TNM classification serves as an objective preoperative tool for orthopedic surgeons in decision-making and patient counseling.
  • The classification system facilitates comparisons between treatment options for similar preoperative conditions.
  • Clinicians and researchers should adopt the PJI-TNM classification, with the simplified PJI-pTNM version being a potential clinical alternative.

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