| Literature DB >> 30376742 |
Elena De Vecchi1, Carlo Luca Romanò2, Roberta De Grandi3, Laura Cappelletti1, Francesca Villa1, Lorenzo Drago1,4.
Abstract
Synovial fluid analysis for diagnosis of prosthetic joint infections has gained increasing interest in the recent past when markers more specific for these infections than the serum ones have been identified. Despite the important steps forward, identification of a gold standard has not yet been identified. In this study, usefulness of alpha defensin, leukocyte esterase, C-reactive protein (CRP), and white blood cells (WBCs) in synovial fluids alone and in combination for diagnosis of prosthetic joint infection was evaluated. Synovial fluids from 32 infected and 34 not infected patients were analyzed. Sensitivity, specificity, positive and negative predictive values, diagnostic accuracy, and receiver-operating characteristic (ROC) curves were calculated for each parameter. Moreover, combination of coupled variables was also evaluated by logistic regression analysis. Sensitivity of alpha defensin, CRP, leukocyte count, and leukocyte esterase were 84.4%, 87.5%, 93.7%, and 93.8%, respectively. Specificity was 91.2% for leukocyte counts, 94.1% for alpha defensin, 97.0% for CRP, and 97.1% for leukocyte esterase. Diagnostic accuracy was 89.4% for alpha defensin, 92.4% for WBC counts and CRP, and 95.5% for leukocyte esterase. No statistical differences were observed in area under the curve (AUC) of the ROC curves of alpha defensin, CRP, and leukocyte counts. Logistic regression analysis applied to a model comprising all the variables showed an AUC higher than AUC of coupled variables. In conclusion, results of this study confirm the high sensitivity and specificity of synovial leukocyte esterase for diagnosis of prosthetic joint infection, also suggesting the need to assess a panel of markers to optimize diagnosis of these infections.Entities:
Keywords: leukocyte esterase; markers of infections; prosthetic joint infections; synovial fluid; α-defensin
Mesh:
Substances:
Year: 2018 PMID: 30376742 PMCID: PMC6213302 DOI: 10.1177/2058738418806072
Source DB: PubMed Journal: Int J Immunopathol Pharmacol ISSN: 0394-6320 Impact factor: 3.219
Patients’ characteristics.
| Group A | Group B | |
|---|---|---|
| Number of patients | 32 | 34 |
| Male/Female | 18/14 | 19/15 |
| Mean age (years) | 69.7 (66.2–73.2) | 66.5 (62.9–70.1) |
| Prosthetic joint | ||
| Hip | 10 | 11 |
| Knee | 22 | 23 |
| Mean ESR (mm/h) | 41.6 | 13.9 (10.6–17.2) |
| Mean serum CRP (mg/L) | 36.0 | 2.33 (1.68–2.98) |
ESR: erythrocyte sedimentation rate; CRP: C-reactive protein.
95% Confidence interval are reported in parenthesis.
P < 0.001 Group A versus Group B.
Sensitivity, specificity, and positive and negative predictive values of synovial markers.
| Cutoff | Alpha defensin | Leukocyte esterase | C-reactive protein | WBC Count | |||
|---|---|---|---|---|---|---|---|
| Ratio = 1.0 | 1+ | 2+ | 7.0 mg/L | 10 mg/L | 1600 | 3000 | |
| Sensitivity (%) | 84.4 (66.5–94.1) | 93.8 (77.8–98.9) | 56.3 (37.9–56.2) | 87.5 (70.1–95.9) | 81.3 (62.9–92.1) | 100 (86.6–100) | 93.7 (77.8–98.9) |
| Specificity (%) | 94.1 (78.9–98.9) | 97.1 (82.9–99.8) | 100 (87.3–100) | 97.0 (82.9–99.8) | 97.1 (82.9–99.8) | 82.3 (64.8–92.6) | 91.2 (75.2–97.7) |
| Positive predictive value (%) | 93.1 (75.8–98.8) | 96.8 (81.4–99.8) | 100 (78.1–100) | 96.5 (80.4–99.8) | 96.3 (79.1–99.8) | 84.2 (68.1–93.4) | 90.9 (74.5–97.6) |
| Negative predictive values (%) | 86.5 (70.4–94.9) | 94.3 (79.5–99.0) | 70.8 (55.7–82.6) | 89.2 (73.6–96.5) | 84.6 (68.8–93.6) | 100 (84.9–100) | 93.9 (78.4–98.9) |
WBC: white blood cell.
95% confidence interval is reported in parenthesis.
Logistic regression analysis.
| Area under the curve of pairwise combination | |||
|---|---|---|---|
| Leukocyte esterase | C-reactive protein | WBC Count | |
| Alpha defensin | 0.983 (0.915–0.999) | 0.978 (0.907–0.999) | 0.993 (0.932–1.00) |
| Leukocyte esterase | – | 0.994 (0.935–1.00) | 1.00 (0.946–1.00) |
| C-reactive protein | – | – | 0.860 (0.753–0.933) |
WBC: white blood cell.