ABSOLUTE NEUTROPHIL COUNT: A NOVEL MARKER FOR DIAGNOSING CHRONIC PERIPROSTHETIC JOINT INFECTION FOLLOWING TOTAL HIP AND KNEE ARTHROPLASTY

Establishing the diagnosis of periprosthetic joint infection (PJI) is challenging. To date, no gold standard test exists. Criteria used to diagnose PJI include synovial white blood cell (WBC) count and polymorphonuclear neutrophil (PMN) percentage. Elevations in these markers suggest the presence of PJI. However, it is currently unclear whether PJI is present if levels are discordant with one marker elevated and the other within normal limits. Our objectives were to determine the performance of synovial absolute neutrophil count (ANC) in the diagnosis of chronic PJI and evaluate its accuracy in predicting PJI when discordance exists between WBC and PMN. This retrospective study included 472 patients from a revision arthroplasty registry treated with revision total hip arthroplasty (THA) or revision total knee arthroplasty (TKA). All patients were evaluated with preoperative aspiration and 3 intraoperative cultures. Synovial fluid markers (WBC and PMN) and serum markers (CRP and ESR) were collected. ANC was calculated as the product of WBC count and PMN percentage. Chronic infection was defined using the 2013 version of the Musculoskeletal Infection Society (MSIS) criteria. ANC thresholds were generated using data-driven methods (upper quartile) and the literature-derived estimates. Patients with discordance were identified within the sample population. ANC was compared to other markers in the diagnosis of infection using area under the curve (AUC) analysis on receiver operating characteristic (ROC) curves, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). There were 193 patients with chronic PJI and 279 patients with no infection. Levels of all infection markers including ANC were significantly higher in chronically infected patients compared with noninfected patients. ANC performed well in predicting chronic PJI in patients treated with revision THA and TKA. Discordance between WBC count and PMN percentage occurred in approximately 12% of patients. Based on the results, we propose a diagnostic algorithm for use in patients with discordance (Figure 1B). An ANC threshold of 2983 cells/µL was shown to effectively diagnose chronic PJI in the study population of 472 patients. Further investigation is required to validate the use of ANC in diagnostic algorithms. For any figures or tables, please contact the authors directly.

Authors

Institutions

Publication Details

Journal
Orthopaedic Proceedings
Published
2025-10-27
DOI
https://doi.org/10.1302/1358-992x.2025.11.030
Primary Topic
Orthopedic Infections and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ABSOLUTE NEUTROPHIL COUNT: A NOVEL MARKER FOR DIAGNOSING CHRONIC PERIPROSTHETIC JOINT INFECTION FOLLOWING TOTAL HIP AND KNEE ARTHROPLASTY

Josh Rezkalla, David J. Mayman, Alberto Carli, Kathleen Tam et al.
Orthopaedic Proceedings
Orthopedic Infections and Treatments
article

ABSOLUTE NEUTROPHIL COUNT: A NOVEL MARKER FOR DIAGNOSING CHRONIC PERIPROSTHETIC JOINT INFECTION FOLLOWING TOTAL HIP AND KNEE ARTHROPLASTY

Josh Rezkalla, David J. Mayman, Alberto Carli, Kathleen Tam, Jonathan S. Yu, Troy D. Bornes, Peter Keyes Sculco, Allina Nocon
article en

Abstract

Establishing the diagnosis of periprosthetic joint infection (PJI) is challenging. To date, no gold standard test exists. Criteria used to diagnose PJI include synovial white blood cell (WBC) count and polymorphonuclear neutrophil (PMN) percentage. Elevations in these markers suggest the presence of PJI. However, it is currently unclear whether PJI is present if levels are discordant with one marker elevated and the other within normal limits. Our objectives were to determine the performance of synovial absolute neutrophil count (ANC) in the diagnosis of chronic PJI and evaluate its accuracy in predicting PJI when discordance exists between WBC and PMN. This retrospective study included 472 patients from a revision arthroplasty registry treated with revision total hip arthroplasty (THA) or revision total knee arthroplasty (TKA). All patients were evaluated with preoperative aspiration and 3 intraoperative cultures. Synovial fluid markers (WBC and PMN) and serum markers (CRP and ESR) were collected. ANC was calculated as the product of WBC count and PMN percentage. Chronic infection was defined using the 2013 version of the Musculoskeletal Infection Society (MSIS) criteria. ANC thresholds were generated using data-driven methods (upper quartile) and the literature-derived estimates. Patients with discordance were identified within the sample population. ANC was compared to other markers in the diagnosis of infection using area under the curve (AUC) analysis on receiver operating characteristic (ROC) curves, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). There were 193 patients with chronic PJI and 279 patients with no infection. Levels of all infection markers including ANC were significantly higher in chronically infected patients compared with noninfected patients. ANC performed well in predicting chronic PJI in patients treated with revision THA and TKA. Discordance between WBC count and PMN percentage occurred in approximately 12% of patients. Based on the results, we propose a diagnostic algorithm for use in patients with discordance (Figure 1B). An ANC threshold of 2983 cells/µL was shown to effectively diagnose chronic PJI in the study population of 472 patients. Further investigation is required to validate the use of ANC in diagnostic algorithms. For any figures or tables, please contact the authors directly.

Orthopaedic ProceedingsVol. 107-B(SUPP_11)
University of Alberta (CA)
Openalex Percentile: Top 51%
Orthopedic Infections and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.