| Literature DB >> 30208953 |
Amir Ramezani1, Mahin Alipouratigh2, Lars Eng3, Maria V Turkina4, Johanna Lönn5, Annette Theodorsson1, Fariba Nayeri6.
Abstract
OBJECTIVE: Cough and fever are the initial symptoms of lower respiratory infection. Severe cases might be fatal. Therefore, particularly in the non-equipped centers, the lack of diagnostic methods to identify the severe cases has resulted in overconsumption of antibiotics. On the basis of the knowledge about non-specific immune response at the site of injury, we developed a colorimetric dip-test that shows abrupt, sensitive and quite specific color change upon contact with sputum in the cases of lower respiratory infection. We further explored the mechanism of the test.Entities:
Keywords: Cell-free DNA; Diagnosis; Dische’s test; Neutrophil extracellular traps; Respiratory infection
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Year: 2018 PMID: 30208953 PMCID: PMC6134600 DOI: 10.1186/s13104-018-3771-1
Source DB: PubMed Journal: BMC Res Notes ISSN: 1756-0500
Fig. 1Standard curve for detection of known concentration of DNA by index dip-test and using digital in-house RGB reader
Fig. 2Left histogram shows the three indicators in sputum; HGF, cell-free DNA and index dip-test in the groups respiratory infection and controls. Right histogram shows the difference between groups in cell-free DNA concentration. The red circle separates the cases that had more severe symptom than the rest of patients. Values are expressed as median (min–max) and P ≤ 0.05 was considered as statistically significant. Significance is denoted as: *P < 0.05, **P < 0.01, ***P < 0.001 and ****P < 0.0001
Analysis of the index dip-test ability to distinguish respiratory infection shows 100% sensitivity (95% CI 81.4–100%), 72.22% specificity (95% CI 46.52–90.31%), 100% negative predictive value and 78.26% (95% CI 63.09–88.35%)
| Index test | Present | n | Absent | n | Total |
|---|---|---|---|---|---|
| Respiratory infection | |||||
| Positive | True positive | a = 18 | False positive | c = 5 | a + c = 23 |
| Negative | False negative | b = 0 | True negative | d = 13 | b + d = 13 |
| Total | 18 | 18 | 36 | ||
Diseases prevalence 50%