Work

Application of myxovirus resistance protein A in the etiological diagnosis of infections in adults

Year: 2024
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Inappropriate antibiotic treatment for patients with viral infections has led to a surge in antimicrobial resistance, increasing mortality and healthcare costs.Viral and bacterial infections are often diffi cult to distinguish.Myxovirus resistance protein A (MxA), an essential antiviral factor induced by interferon after viral infection, holds promise for distinguishing between viral and bacterial infections.This study aimed to determine the ability of MxA to distinguish viral from bacterial infections. METHODS:We quantified MxA in 121 infected patients via dry immunofluorescence chromatography.The Kruskal-Wallis test and receiver operating characteristic (ROC) curve analysis were used to determine the diagnostic value of MxA, either alone or in combination with C-reactive protein (CRP) or procalcitonin (PCT), in patients with viral, bacterial, or co-infections. RESULTS:The value of MxA (ng/mL) was significantly higher in patients with viral infections than in those with bacterial and co-infections (82.3 [24.5-182.9]vs. 16.4 [10.8-26.5],P<0.0001) (82.3 [24.5-182.9]vs. 28.5 [10.2-106.8],P=0.0237).The area under the curve (AUC) of the ROC curve for distinguishing between viral and bacterial infections was 0.799 (95% confidence interval [95% CI] 0.696-0.903),with a sensitivity of 68.9% (95% CI 54.3%-80.5%)and specificity of 90.0% (95% CI 74.4%-96.5%)at the threshold of 50.3 ng/mL.Combining the MxA level with the CRP or PCT level improved its ability.MxA expression was low in cytomegalovirus (15.8 [9.6-47.6]ng/mL) and Epstein-Barr virus (12.9 [8.5-21.0]ng/mL) infections. CONCLUSION:Our study showed the diagnostic effi cacy of MxA in distinguishing between viral and bacterial infections, with further enhancement when it was combined with CRP or PCT.Moreover, Epstein-Barr virus and human cytomegalovirus infections did not elicit elevated MxA expression.
Language: English
Subfield: Epidemiology
Field: Medicine
Open Access status: bronze
OpenAlex ID: W4405309166
FWCI: 0.521
Cites: 31
Cited by: 2
Related to: 10