Title |
Cerebrospinal fluid lactate: a differential biomarker for bacterial and viral meningitis in children
|
---|---|
Published in |
Jornal de Pediatria, August 2017
|
DOI | 10.1016/j.jped.2017.03.007 |
Pubmed ID | |
Authors |
Mudasir Nazir, Wasim Ahmad Wani, Muzaffar Ahmad Malik, Mohd Rafiq Mir, Younis Ashraf, Khalid Kawoosa, Syed Wajid Ali |
Abstract |
To assess the performance of cerebrospinal fluid (CSF) lactate as a biomarker to differentiate bacterial meningitis (BM) from viral meningitis (VM) in children, and to define an optimal CSF lactate concentration that can be called significant for the differentiation. Children with clinical findings compatible with meningitis were studied. CSF lactate and other conventional CSF parameters were recorded. At a cut-off value of 3mmol/L, CSF lactate had a sensitivity of 0.90, specificity of 1.0, positive predictive value of 1.0, and negative predictive value of 0.963, with an accuracy of 0.972. The positive and negative likelihood ratios were 23.6 and 0.1, respectively. When comparing between BM and VM, the area under the curve (AUC) for CSF lactate was 0.979. The authors concluded that CSF lactate has high sensitivity and specificity in differentiating bacterial from viral meningitis. While at a cut-off value of 3mmol/L, CSF lactate has high diagnostic accuracy for BM, mean levels in VM remain essentially below 2mmol/L. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Italy | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 88 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 16 | 18% |
Student > Ph. D. Student | 10 | 11% |
Student > Master | 6 | 7% |
Student > Postgraduate | 5 | 6% |
Other | 5 | 6% |
Other | 13 | 15% |
Unknown | 33 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 26 | 30% |
Biochemistry, Genetics and Molecular Biology | 9 | 10% |
Agricultural and Biological Sciences | 3 | 3% |
Immunology and Microbiology | 3 | 3% |
Chemistry | 2 | 2% |
Other | 11 | 13% |
Unknown | 34 | 39% |