| Literature DB >> 28158976 |
Giles Dixon1, Adriana Lama-Lopez2, Oliver J Bintcliffe2, Anna J Morley2, Clare E Hooper3, Nick A Maskell4,5.
Abstract
BACKGROUND: Bacterial pleural infection requires prompt identification to enable appropriate investigation and treatment. In contrast to commonly used biomarkers such as C-reactive protein (CRP) and white cell count (WCC), which can be raised due to non-infective inflammatory processes, procalcitonin (PCT) has been proposed as a specific biomarker of bacterial infection. The utility of PCT in this role is yet to be validated in a large prospective trial. This study aimed to identify whether serum PCT is superior to CRP and WCC in establishing the diagnosis of bacterial pleural infection.Entities:
Keywords: Pleura; Procalcitonin; Sensitivity and specificity
Mesh:
Substances:
Year: 2017 PMID: 28158976 PMCID: PMC5291982 DOI: 10.1186/s12931-017-0501-5
Source DB: PubMed Journal: Respir Res ISSN: 1465-9921
Patient characteristics for 508 patients recruited to study between March 2008 and June 2013
| Patients included in analysis ( | Patients excluded from analysis for incomplete data ( | Patients excluded from analysis for no definitive diagnosis ( | ||
|---|---|---|---|---|
| Male:female | 283:142 (67:33%) | 51:25 (67:33%) | 7:0 (100:0%) | |
| Median age (IQR) | 72 (63–80) | 75 (69–78) | 81 (55.5–88.5) | |
| Inpatient:outpatient | 179:246 (42:58%) | 36:39 (1 data not available) (47:51%) | 5:2 (71:29%) | |
| Diagnosis | Metastatic malignancy | 169 (39.8%) | 32 (42.1%) | – |
| Pleural infection | 80 (18.8%) | 11 (14.5%) | – | |
| Malignant mesothelioma | 70 (16.5%) | 4 (5.3%) | – | |
| Congestive cardiac failure | 41 (9.6%) | 7 (9.2%) | – | |
| BAPE | 17 (4.0%) | 6 (7.9%) | – | |
| Inflammatory pleuritis | 13 (3.1%) | 7 (9.2%) | – | |
| Pleural TB | 10 (2.4%) | 0 | – | |
| Other | 25 (5.9%) | 9 (11.8%) | – | |
Diagnoses classed as “Other” included; renal failure, hepatic hydrothorax, pulmonary embolism, iatrogenic, trauma, drug-induced, connective tissue disease, post coronary artery bypass graft, pancreatitis and Meigs syndrome
Abbreviations: BAPE benign asbestos related pleural effusion, IQR interquartile range, TB tuberculosis
Fig. 1Flow chart showing the selection of patients for inclusion in the study
Twelve-month diagnosis of 425 patients presenting with unilateral pleural effusion between 2008 and 2013 and the median and interquartile range of serum procalcitonin, white cell count and C-reactive protein
| Diagnosis |
| % | Procalcitonin (μg/l) | White cell count (×109/L) | C-reactive protein (mg/l) |
|---|---|---|---|---|---|
| Metastatic malignancy | 169 | 39.8% | <0.05 (0–0.12) | 8.9 (7.4–11.0) | 34.5 (12–90.75) |
| Pleural infection | 80 | 18.8% | 0.2 (0.1–0.7) | 12.5 (9.2–16.3) | 135.3 (71.6–239.6) |
| Malignant mesothelioma | 70 | 16.5% | <0.05 (<0.05- < 0.05) | 8.7 (7.1–9.7) | 22.2 (9.5–70.3) |
| Congestive cardiac failure | 41 | 9.6% | <0.05 (<0.05–0.1) | 7.4 (6.2–9.2) | 9.0 (5.1–22.6) |
| BAPE | 17 | 4.0% | <0.05 (<0.05–0.1) | 8.5 (7.5–9.4) | 27.0 (15.4–53.0) |
| Inflammatory pleuritis | 13 | 3.1% | <0.05 (<0.05–0.1) | 7.1 (6.3–7.9) | 10.0 (5.0–48.0) |
| Pleural TB | 10 | 2.4% | 0.1 (<0.05–0.2) | 7.1 (6.9–7.5) | 76.5 (36.9–111.7) |
| Renal failure | 6 | 1.4% | 0.1 (0.1–0.2) | 6.8 (5.8–10.3) | 25.0 (20.8–37.3) |
| Hepatic hydrothorax | 4 | 0.9% | <0.05 (<0.05–0.1) | 5.0 (4.2–7.5) | 2.0 (2.0–4.7) |
| Pulmonary embolism | 3 | 0.7% | <0.05 (n/a) | 5.8 (n/a) | 14.0 (n/a) |
| Iatrogenic/Trauma | 3 | 0.7% | <0.05 (n/a) | 10.4 (n/a) | 32 (n/a) |
| Connective tissue disease | 3 | 0.7% | <0.05 (n/a) | 9.0 (n/a) | 29.0 (n/a) |
| Post-CABG | 3 | 0.7% | <0.05 (n/a) | 7.6 (n/a) | 3.0 (n/a) |
| Pancreatitis | 2 | 0.5% | <0.05 (n/a) | 4.0 (n/a) | 19.0 (n/a) |
| Drug-induced | 1 | 0.2% | <0.05 (n/a) | 8.6 (n/a) | 13 (n/a) |
Abbreviations: BAPE benign asbestos related pleural effusion, CABG coronary artery bypass graft, IQR interquartile range, TB tuberculosis
Fig. 2ROC curve to show the ability of serum procalcitonin, white cell count and C-reactive protein to distinguish infective vs non-infective causes of unilateral pleural effusion
The sensitivity, specificity, positive predictive value and negative predictive value of PCT, WCC and CRP in the diagnosis of pleural infection
| Serum biomarker | Sensitivity | Specificity | Positive predictive value | Negative predictive value | Positive likelihood ratio | Negative likelihood ratio | ||
|---|---|---|---|---|---|---|---|---|
| PCT | AUC calculated optimal cut-off value | ≥0.085 μg/l | 0.69 | 0.80 | 0.46 | 0.91 | 3.36 | 0.39 |
| Manufacturers recommended cut-off value | ≥0.05 μg/l | 0.78 | 0.66 | 0.37 | 0.92 | 2.27 | 0.34 | |
| WCC | AUC calculated optimal cut-off value | ≥10.35x109/L | 0.69 | 0.80 | 0.46 | 0.91 | 3.36 | 0.39 |
| CRP | AUC calculated optimal cut-off value | ≥46.5 mg/l | 0.88 | 0.67 | 0.41 | 0.95 | 2.69 | 0.19 |
Abbreviations: AUC area under the curve, CRP C reactive protein, PCT procalcitonin, WCC white cell count
Fig. 3The effect of prior use of antibiotics on the diagnostic utility of procalcitonin in 80 patients presenting to the pleural service with pleural infection
Fig. 4Dot plots showing median and IQR of PCT, WCC and CRP in patients who received no intervention, chest drain insertion or thoracic surgery for pleural infection. Outlier values; * 7.5, 14.68, ** 7.55, 45.49, *** 62.0. CRP = C-reactive protein, IQR = Interquartile range, PCT = Procalcitonin, WCC = White cell count
Median and IQR of PCT, WCC and CRP for patients with pleural malignancy with and without a co-existing bacterial infection
| Co-existing infection | No co-existing infection |
| |
|---|---|---|---|
|
| 23 | 216 | – |
| PCT (Median (IQR)) μg/l | 0.11 (<0.05–0.15) | <0.05 (<0.05–0.08) | 0.75 |
| WCC (Median (IQR)) ×109/L | 10.0 (8.5–20.3) | 8.7 (7.2–10.2) | 0.004 |
| CRP (Median (IQR)) mg/l | 88.3 (11.4–135.8) | 29.0 (11.0–81.5) | 0.0003 |