| Literature DB >> 21030489 |
Mona Bafadhel1, Tristan W Clark2, Carlene Reid3, Marie-Jo Medina4, Sally Batham5, Michael R Barer4, Karl G Nicholson5, Christopher E Brightling6.
Abstract
BACKGROUND: Antibiotic overuse in respiratory illness is common and is associated with drug resistance and hospital-acquired infection. Biomarkers that can identify bacterial infections may reduce antibiotic prescription. We aimed to compare the usefulness of the biomarkers procalcitonin and C-reactive protein (CRP) in patients with pneumonia or exacerbations of asthma or COPD.Entities:
Mesh:
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Year: 2010 PMID: 21030489 PMCID: PMC3109646 DOI: 10.1378/chest.10-1747
Source DB: PubMed Journal: Chest ISSN: 0012-3692 Impact factor: 9.410
Figure 1.Trial profile for patients enrolled in the study. CXR = chest radiograph.
—Demographic and Clinical Data From Patients Admitted With Pneumonia, Exacerbation of Asthma, or Exacerbation of COPD
| Variable | Pneumonia | Asthma Exacerbation | COPD Exacerbation | |
| No. | 62 | 96 | 161 | … |
| Male, % | 63 | 37 | 48 | .001 |
| Age, | 63 (24-93) | 41 (18-84) | 69 (39-93) | < .001 |
| Antibiotics given, % | 100 | 57 | 76 | < .001 |
| IV antibiotics given, % | 74 | 10 | 18 | < .001 |
| Antibiotics prior to admission, % | 25 | 35 | 35 | .34 |
| 29 | 2 | 5 | < .001 | |
| Length of stay, | 6 (1-40) | 3 (1-19) | 5 (1-31) | < .001 |
| Temperature, | 37.1 (1.1) | 36.8 (0.9) | 36.6 (0.8) | < .001 |
| Respiratory rate, | 22 (7) | 22 (7) | 23 (6) | .95 |
| Systolic BP, mm Hg | 120 (3) | 132 (2) | 134 (2) | < .001 |
| Pulse rate, beats/min | 98 (2) | 100 (2) | 95 (1) | .08 |
| Modified early warning score | 3 (0-7) | 3 (0-7) | 2 (0-8) | .06 |
| Blood leukocytes, | 14.1 (7.5) | 10.8 (4.3) | 10.1 (4.9) | < .001 |
| Blood neutrophils, | 12.4 (7.2) | 7.7 (4.4) | 7.5 (4.7) | < .001 |
| CRP, | 191 (159) | 9 (21) | 16 (34) | < .001 |
| Procalcitonin, | 1.27 (2.36) | 0.03 (0.04) | 0.05 (0.06) | < .001 |
Data presented as mean (SE of mean), unless stated. CRP = C-reactive protein.
Mean (range).
Median (interquartile range).
Figure 2.Box and whisker plots for patients admitted with exacerbation of asthma, COPD, and pneumonia for the biomarkers procalcitonin and C-reactive protein. The horizontal bar represents the median; the box length represents the interquartile range. Outliers are identified by ○ (1.5 × the interquartile range) and * (3 × the interquartile range).
Figure 3.Receiver operator characteristic curve distinguishing between patients with pneumonia (antibiotics required) and exacerbations of asthma (antibiotics not required) for peripheral neutrophils, temperature, and modified early warning score. AUC = area under the receiver operator characteristic curve.
Figure 4.Receiver operator characteristic curve for distinguishing between patients with pneumonia (antibiotics required) and exacerbations of asthma (antibiotics not required) for PCT.CRP, PCT, and CRP. CRP = C-reactive protein; PCT = procalcitonin; PCT.CRP = procalcitonin C-reactive protein product. See Figure 3 for expansion of the other abbrevation.
—Proportion of Patients Receiving Antibiotic Therapy on Admission and Proportion Who Would Have Received Antibiotic Therapy if Biomarker-Directed Therapy Were Used With the Relevant Threshold Values for PCT and CRP
| Proportions Who Would Have Been Treated if Biomarker-Directed Therapy Were Used | ||||||
| PCT, ng/mL | CRP, mg/L | |||||
| Diagnosis | Proportions Actually Treated | 0.1 Threshold Value | 0.25 Threshold Value | 10 Threshold Value | 30 Threshold Value | 48 Threshold Value |
| Asthma, % | 57 | 9 | 4 | 43 | 15 | 7 |
| (95% CI) | (46-67) | (4-16) | (1-11) | (33-54) | (9-24) | (2-14) |
| COPD, % | 76 | 24 | 7 | 59 | 32 | 21 |
| (95% CI) | (68-82) | (17-31) | (4-13) | (51-67) | (25-40) | (15-28) |
| Pneumonia,% | 100 | 82 | 73 | 95 | 91 | 91 |
| (95% CI) | (96-100) | (70-91) | (60-83) | (85-99) | (80-97) | (80-97) |
PCT = procalcitonin. See Table 1 for expansion of other abbreviation.