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Predicting Wound Complications Following Total Knee Arthroplasty: Preoperative Inflammatory Indices and a Novel Risk
Furkan Soy1, Mustafa Can Yanık1, Yasin Kozan2
1Department of Orthopedics and Traumatology, Faculty of Medicine, Kırıkkale University, Kırıkkale 71450, Türkiye.
Diagnostics (Basel, Switzerland)
|August 13, 2026
Summary
Preoperative inflammatory markers like SIRI can predict wound complications after total knee arthroplasty (TKA). A new TKA-PII scale offers a simple tool for risk assessment.
Area of Science:
- Orthopedic Surgery
- Biomarker Research
- Inflammation Studies
Background:
- Wound complications after total knee arthroplasty (TKA) pose significant challenges.
- Identifying reliable preoperative predictors for these complications is crucial for patient management.
Purpose of the Study:
- To evaluate the predictive value of hemogram-derived inflammatory indices for wound complications post-TKA.
- To develop and validate a novel preoperative risk assessment scale for TKA complications.
Main Methods:
- Analysis of preoperative hematological parameters and derived indices (NLR, MLR, PLR, PIIV, SII, SIRI) in 226 TKA patients.
- Correlation, ROC-curve, and logistic regression analyses to identify predictors.
- Development of the TKA-PII scale using factor analysis and reliability testing.
Main Results:
- Higher NLR, MLR, PIIV, SII, and SIRI levels were associated with increased complication risk.
- SIRI demonstrated the highest discriminative performance (AUC=0.720) in predicting complications.
- The TKA-PII scale showed acceptable validity and reliability (Cronbach's alpha = 0.647).
Conclusions:
- Preoperative hemogram-derived inflammatory indices, especially SIRI, are valuable for predicting TKA wound complications.
- The TKA-PII scale provides a practical and cost-effective tool for preoperative risk stratification in TKA.
