BackgroundThe diagnosis of prosthetic joint infection (PJI) is still a challenge in some patients after total joint replacement. Interleukin-6 (IL-6) strongly participates in the arrangement of the host-bacteria response. Therefore, increased levels of IL-6 should accompany every PJI.PurposeThe aim of the study was to show diagnostic characteristics of serum IL-6 for the diagnosis of prosthetic joint infection (PJI). We also compared the diagnostic values of serum IL-6 with synovial IL-6 (sIL-6) and synovial C-reactive protein (sCRP).Study designWe performed a prospective study of 240 patients in whom serum IL-6 was determined before total hip (n = 124) or knee (n = 116) reoperations. The PJI diagnosis was based on the MSIS (Musculoskeletal Infection Society) criteria (2011). Receiver operating characteristic plots were constructed for IL-6, sIL-6, and sCRP.ResultsPJI was diagnosed in 93 patients, and aseptic revision was diagnosed in 147 patients. The AUC (area under curve) for IL-6 was 0.938 (95% CI; 0.904–0.971). The optimal IL-6 cut-off value for PJI was 12.55 ng/L. Positive and negative likelihood ratios for IL-6 were 8.24 (95% CI; 4.79–14.17) and 0.15 (95% CI; 0.09–0.26), respectively. The optimal sIL-6 and sCRP cut-off values were 20,988 ng/L and 8.80 mg/L, respectively. Positive and negative likelihood ratios for sIL-6 were 40.000 (95% CI; 5.7–280.5) and 0.170 (95% CI; 0.07–0.417), respectively. Negative likelihood ratio for sCRP was 0.083 (95% CI; 0.022–0.314).ConclusionsThe present study identified the cut-off values for serum/synovial IL-6 and synovial CRP for diagnostics of PJI at the site of THA and TKA and separately for each site. The diagnostic odds ratio for serum/synovial IL-6 and synovial CRP is very good. Simultaneous positivity of serum IL-6 either with synovial IL-6 or synovial CRP almost excludes false negative detection of PJI at the site of interest.

AbstractThe aim of the present study was to evaluate the correlations of peripheral blood cell count (PBC)-derived ratios with neopterin concentration and biomarkers of atherosclerosis risk in patients with history of breast cancer. Neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR) and platelet-to-lymphocyte ratio (PLR) were calculated in three cohorts of patients with a history of breast cancer and in controls. Significant differences were observed between PBC-derived ratios obtained from automated and manual counts. NLR and PLR were significantly higher and LMR was significantly lower in patients. NLR and PLR correlated positively with each other and negatively with LMR. NLR exhibited a significant correlation with age, glucose and C-reactive protein (CRP) concentrations, whereas LMR correlated negatively with CRP. With the exception of a correlation between LMR and urinary or serum neopterin concentrations in controls, no other correlation between neopterin concentrations and PBC-derived ratios was observed. NLR ≥3 was a significant predictor of poor survival, but neither urinary neopterin ≥205 μmol/mol creatinine, NLR ≥150 nor LMR ≥4.25 was significantly associated with survival. In conclusion, no consistent correlation was observed between urinary and serum neopterin concentrations and any of the PBC-derived ratios. In a cohort of breast cancer patients, a higher NLR predicted poor survival.

Background and Aim. The aim of this study was to evaluate the characteristics of synovial fluid (SF) white cell count (SWCC) and neutrophil/lymphocyte percentage in the diagnosis of prosthetic joint infection (PJI) for particular threshold values. Methods and Results. This was a prospective study of 391 patients in whom SF specimens were collected before total joint replacement revisions. SF was aspirated before joint capsule incision. The PJI diagnosis was based only on non-SF data. Receiver operating characteristic plots were constructed for the SWCC and differential counts of leukocytes in aspirated fluid. Logistic binomic regression was used to distinguish infected and non-infected cases in the combined data. PJI was diagnosed in 78 patients, and aseptic revision in 313 patients. The areas (AUC) under the curve for the SWCC, the neutrophil and lymphocyte percentages were 0.974, 0.962, and 0.951, respectively. The optimal cut-off for PJI was 3,450 cells/μL, 74.6% neutrophils, and 14.6% lymphocytes. Positive likelihood ratios for the SWCC, neutrophil and lymphocyte percentages were 19.0, 10.4, and 9.5, respectively. Negative likelihood ratios for the SWCC, neutrophil and lymphocyte percentages were 0.06, 0.076, and 0.092, respectively. Conclusions. Based on AUC, the present study identified cut-off values for the SWCC and differential leukocyte count for the diagnosis of PJI. The likelihood ratio for positive/negative SWCCs can significantly change the pre-test probability of PJI.

The aim of the present study was to evaluate the prevalence of the risk factor of atherosclerosis in patients with history of breast cancer. C-reactive protein, lipoprotein (a), cholesterol, high-density lipoprotein (HDL) cholesterol, low-density lipoprotein cholesterol, triglycerides, homocysteine, fibrinogen, glucose, magnesium, uric acid, and urinary albumin were determined by routine methods in 61 patients with history of breast cancer and 74 control subjects. Urinary neopterin and creatinine concentrations were measured by high-performance liquid chromatography, and intima-media thickness was determined sonographically. Breast cancer patients were significantly older and also had higher systolic blood pressure, glycosylated hemoglobin, lipoprotein (a), serum neopterin, and intima-media thickness. Serum HDL cholesterol and magnesium concentrations were significantly higher in controls compared with patients. Differential patterns of associations between the risk factors of atherosclerosis were observed in patients with history of breast cancer compared with controls. In conclusion, the prevalence of risk factors of atherosclerosis is high in patients with history of breast cancer. Differential associations between risk factors suggest possible differences in the pathogenesis of atherosclerosis in breast cancer patients and controls.