ArticleBMC emergency medicine2023
Point-of-care neutrophil CD64 as a rule in diagnostic test for bacterial infections in the emergency department.
Article in BMC emergency medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 10 citations in OpenAlex.
- Immune Profiling and Rapid Molecular Diagnostics in Severe Respiratory Infections and Sepsis: The Potential Clinical Perspective of CD169 and CD64.Microorganisms · 2026Article
- Evaluating a pathogen-specific IgG binding assay for rapid detection of healthcare-associated infections.Scientific reports · 2026Article
- Diagnostic utility of the urine neutrophil CD64 ratio for patients with urinary tract infections.Frontiers in medicine · 2026Article
- Predictive value of serological markers and immune indicators combined with early warning scoring system for prognosis in pediatric acute respiratory infections.Journal of medical biochemistry · 2025Article
- Neutrophil CD64 can be an early predictor for sepsis during febrile neutropenic episodes in children with cancer: a case control study.Italian journal of pediatrics · 2025Article
- Current development of Fc gamma receptors (FcγRs) in diagnostics: a review.Molecular biology reports · 2024Review
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionBacterial infections are frequently seen in the emergency department (ED), but can be difficult to distinguish from viral infections and some non-infectious diseases. Common biomarkers such as c-reactive protein (CRP) and white blood cell (WBC) counts fail to aid in the differential diagnosis. Neutrophil CD64 (nCD64), an IgG receptor, is suggested to be more specific for bacterial infections. This study investigated if nCD64 can distinguish bacterial infections from other infectious and non-infectious diseases in the ED.
methodsAll COVID-19 suspected patients who visited the ED and for which a definitive diagnosis was made, were included. Blood was analyzed using an automated flow cytometer within 2 h after presentation. Patients were divided into a bacterial, viral, and non-infectious disease group. We determined the diagnostic value of nCD64 and compared this to those of CRP and WBC counts.
resultsOf the 291 patients presented at the ED, 182 patients were included with a definitive diagnosis (bacterial infection n = 78; viral infection n = 64; non-infectious disease n = 40). ROC-curves were plotted, with AUCs of 0.71 [95%CI: 0.64-0.79], 0.77 [0.69-0.84] and 0.64 [0.55-0.73] for nCD64, WBC counts and CRP, respectively. In the bacterial group, nCD64 MFI was significantly higher compared to the other groups (p < 0.01). A cut-off of 9.4 AU MFI for nCD64 corresponded with a positive predictive value of 1.00 (sensitivity of 0.27, a specificity of 1.00, and an NPV of 0.64). Furthermore, a diagnostic algorithm was constructed which can serve as an example of what a future biomarker prediction model could look like.
conclusionFor patients in the ED presenting with a suspected infection, nCD64 measured with automatic flow cytometry, has a high specificity and positive predictive value for diagnosing a bacterial infection. However, a low nCD64 cannot rule out a bacterial infection. For future purposes, nCD64 should be combined with additional tests to form an algorithm that adequately diagnoses infectious diseases.
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