| Literature DB >> 31664120 |
Emmanuel Bottieau1, Deby Mukendi2,3, Jean-Roger Lilo Kalo2, Pascal Lutumba2,3, Barbara Barbé4, Kadrie Ramadan4, Marjan Van Esbroeck4, Jan Jacobs4,5, Cedric P Yansouni6, François Chappuis7, Marleen Boelaert8, Andrea S Winkler9,10, Kristien Verdonck8.
Abstract
In low-resource hospitals of central Africa, neurological disorders are frequent and etiologies very diverse. The difficulty to identify invasive bacterial infections in this setting results in major antibiotic overuse. Biomarkers such as C-reactive protein (CRP) and procalcitonin (PCT) may help discriminate these conditions. We retrospectively determined the concentrations of CRP and PCT in the sera of patients consecutively enrolled from 2012 to 2015 in an etiological study on neurological disorders at the rural hospital of Mosango, Democratic Republic of Congo. Invasive bacterial infection had been diagnosed by the demonstration of a bacterial pathogen in cerebrospinal fluid or blood cultures or the presence of radiological pneumonia. Sera of 313 (89.2%) and 317 (90.3%) of the 351 enrolled participants were available for determination of CRP and PCT concentrations respectively. Areas under the receiver operating characteristic curves for invasive bacterial infection, diagnosed in 19 tested cases, were 94.3% for CRP and 91.7% for PCT. No single case had a normal CRP concentration (<10 mg/L). Our data, although limited, suggest that CRP or PCT concentrations may help discriminate invasive bacterial infections in patients with neurological disorders in tropical settings and that normal CRP values could assist in withholding antibiotics.Entities:
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Year: 2019 PMID: 31664120 PMCID: PMC6820716 DOI: 10.1038/s41598-019-51925-z
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Median and interquartile range of C-reactive protein (n = 313) and procalcitonin (n = 317) results per diagnosis and per group of diagnoses in patients admitted for neurological disorders in the rural hospital of Mosango, Democratic Republic of Congo.
| C-reactive protein | Procalcitonin | |
|---|---|---|
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| Confirmed bacterial meningitis (n = 13) | 221.4 (142.5–346.8) | 11.34 (5.67–22.52) |
| Bacteremia (n = 4) | 304.9 (110.7–429.1) | 36.91 (2.55–428.35) |
| Radiological pneumonia (n = 2) | 160.2 (86.5–233.9) | 0.52 (0.09–0.95) |
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|
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| Tuberculosis of CNS (n = 4) or spine (n = 9) | 55.6 (20.3–147.9) | 0.19 (0.07–1.38) |
| Others (n = 4)* | 22.2 (10.6–31.1) | 0.07 (0.05–0.09) |
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| Severe or uncomplicated malaria (n = 9) | 34.0 (2.5–64.2) | 0.41 (0.07–6.16) |
| HIV and related opportunistic infections (n = 7) | 24.9 (13.3–41.2) | 0.10 (0.07–0.15) |
| Second stage HAT (n = 9) | 7.6 (2.5–40.7) | 0.06 (0.03–0.07) |
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| Unspecified meningoencephalitis (n = 18) | 55.8 (22.8–185.6) | 0.18 (0.05–0.72) |
| Respiratory tract infection (n = 14) | 3.8 (2.5–26.4) | 0.06 (0.03–0.12) |
| Undifferentiated febrile illness (n = 16) | 2.5 (2.5–25.3) | 0.06 (0.03–0.07) |
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|
|
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| Epilepsy (n = 55) | 2.5 (2.5–2.5) | 0.05 (0.03–0.06) |
| Anxiety-depression (n = 48) | 2.5 (2.5–2.5) | 0.05 (0.03–0.06) |
| Unspecified myelo-radiculo-neuropathy (n = 35) | 2.5 (2.5–9.8) | 0.05 (0.03–0.08) |
| Cerebrovascular accident (n = 21) | 6.8 (2.5–23.2) | 0.06 (0.04–0.13) |
| Degenerative neurological diseases (n = 17) | 5.3 (2.5–7.1) | 0.04 (0.03–0.07) |
| Metabolic diseases (n = 6) | 2.5 (2.5–164.2) | 0.06 (0.03–0.23) |
| Others (n = 22) | 2.5 (2.5–9.1) | 0.05 (0.03–0.23 |
Note: IQR denotes interquartile range; CNS central nervous system; HIV human immunodeficiency virus; HAT human African trypanosomiasis.
*Other bacterial diagnoses were tetanus (n = 3) and neurosyphilis (n = 1).
Figure 1(a–c) Boxplots of C-reactive protein (CRP) results (n = 313), procalcitonin (PCT) results (n = 317) and white blood cell (WBC) count (n = 278) according to disease category. Note (Fig. 1b): two patients with very high procalcitonin levels (>100 microg/L; one in the category of confirmed invasive bacterial infection [bacteremia] and one in the category of confirmed non-bacterial infection [cerebral malaria]) are not included in graph 1(b) because of the Y axis scale.
Figure 2Receiver operating characteristic (ROC) curves of C-reactive protein (n = 313), procalcitonin (n = 317) and white blood cell count (n = 278) for the diagnosis of invasive bacterial infection. Note (Fig. 2): Areas under the curve were 94.3% for C-reactive protein (CRP), 91.7% for procalcitonin (PCT), and 90.5% for white blood cell (WBC) count in blood (no statistically significant difference: WBC count versus CRP P = 0.4; PCT versus CRP P = 0.6; WBC count versus PCT P = 0.9).
Diagnostic performance of selected clinical features and values of white blood cell count and study biomarkers (C-reactive protein and procalcitonin) for the diagnosis of confirmed invasive bacterial infection in patients admitted for neurological disorders in the rural hospital of Mosango (pre-test probability: 5.7% [20/351]).
| Sensitivity | Specificity | Positive likelihood ratio | Negative likelihood ratio | Post-test probability if present/positive | Post-test probability if absent/negative | |
|---|---|---|---|---|---|---|
| Clinical features | ||||||
| Fever (reported or documented) | 15/20 (75%) | 245/331 (74%) | 2.9 | 0.35 | 14.9 | 2 |
| Glasgow Coma Scale <15 | 16/20 (80%) | 276/331 (83.4%) | 4.8 | 0.21 | 22.5 | 1.4 |
| Neck stiffness | 6/20 (30%) | 234/331 (70.7%) | 1.0 | 0.98 | 5.8 | 5.6 |
| White blood cell count in blood | ||||||
| >10,000/µL | 10/12 (83.3%) | 233/266 (87.6%) | 6.7 | 0.15 | 23.2 | 0.8 |
| >11,150/µL (YI) | 10/12 (83.3%) | 240/266 (90.2%) | 8.5 | 0.12 | 27.8 | 0.8 |
| C-reactive protein | ||||||
| >10 mg/L | 19/19 (100%) | 198/294 (67.3%) | 3.1 | — | 16.5 | 0 |
| >20 mg/L | 18/19 (94.7%) | 221/294 (75.1%) | 3.8 | 0.26 | 19.8 | 0.5 |
| >34 mg/L (YI) | 18/19 (94.7%) | 243/294 (82.7%) | 5.5 | 0.18 | 26.1 | 0.4 |
| >40 mg/L | 16/19 (84.2%) | 245/294 (83.3%) | 5.0 | 0.20 | 24.6 | 1.2 |
| >80 mg/L | 15/19 (78.9%) | 270/294 (91.8%) | 9.6 | 0.10 | 38.5 | 1.5 |
| Procalcitonin | ||||||
| >0.1 µg/L | 17/19 (89.4%) | 238/298 (79.9%) | 4.4 | 0.22 | 22.1 | 0.8 |
| >0.25 µg/L | 16/19 (84.2%) | 259/298 (86.9%) | 4.8 | 0.16 | 29.0 | 1.1 |
| >0.5 µg/L | 16/19 (84.2%) | 267/298 (89.6%) | 8.1 | 0.12 | 34.8 | 1.1 |
| >0.94 µg/L (YI) | 16/19 (84.2%) | 277/298 (93.0%) | 12.0 | 0.08 | 43.2 | 1.1 |
| >2 µg/L | 15/19 (78.9%) | 284/298 (95.3%) | 16.8 | 0.06 | 51.7 | 1.4 |
| >5 µg/L | 13/19 (68.4%) | 289/298 (97.0%) | 22.8 | 0.04 | 59.1 | 1.4 |
| >10 µg/L | 10/19 (52.6%) | 291/298 (97.7%) | 22.9 | 0.04 | 59.0 | 3 |
Note: YI denotes Youden index.