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Prosthetic joint infection development of an evidence-based diagnostic algorithm.
Heinrich M L Mühlhofer1, Florian Pohlig2, Karl-Georg Kanz3
1Department of Orthopaedic Surgery, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675, Munich, Germany. heinrich.muehlhofer@mri.tum.de.
European Journal of Medical Research
|March 10, 2017
Summary
This study presents an evidence-based algorithm to standardize the diagnosis of prosthetic joint infection (PJI). The algorithm aids clinicians in the complex PJI diagnostic process, ensuring consistent quality.
Area of Science:
- Orthopedics
- Infectious Diseases
- Medical Diagnostics
Background:
- Prosthetic joint infection (PJI) rates are rising, posing challenges for healthcare providers and systems.
- Diagnosing PJI is complex, requiring multiple diagnostic tools.
- Evidence-based algorithms can standardize diagnostic steps for PJI.
Purpose of the Study:
- To develop a standardized, evidence-based algorithm for diagnosing prosthetic joint infection (PJI).
- To simplify the complex diagnostic process of PJI for clinicians.
- To ensure consistent, high-quality, and examiner-independent PJI diagnosis.
Main Methods:
- Systematic literature review of publications from 1990-2015 in MEDLINE and PubMed.
- Classification of selected publications by level of evidence (Class I-III recommendations).
- Development of a diagnostic algorithm structured according to ISO 5807.
Main Results:
- 156 out of 768 publications were rigorously reviewed.
- An algorithm was developed to clearly and logically present the diagnostic approach for PJI.
- The algorithm integrates modern clinical needs with evidence-based treatment principles.
Conclusions:
- The developed algorithm provides a transparent standard operating procedure (SOP) for PJI diagnosis.
- It ensures consistently high, examiner-independent process quality in PJI diagnostics.
- This standardized approach meets modern quality management demands for PJI diagnosis.
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