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Diagnostic value of neutrophil CD64 index in disseminated nontuberculous mycobacteria infection / 中华传染病杂志
Article in Zh | WPRIM | ID: wpr-992536
Responsible library: WPRO
ABSTRACT
Objective:To investigate the diagnostic value of neutrophil CD64 index (nCD64) in disseminated nontuberculous mycobacteria (NTM) infection.Methods:Thirty-six patients with NTM infection from January 2020 to June 2021 in Huashan Hospital, Fudan University were included. Patients were classified into groups of disseminated infection and focal infection according to their medical history and discharge diagnosis. The expressions of nCD64 in patients with focal infection and disseminated infection before treatment were collected and analyzed. Statistical analysis was performed using the Mann-Whitney U test, and the diagnostic value of nCD64 for disseminated NTM infection was analyzed using the receiver operator characteristic curve (ROC curve). Results:Among the 36 patients with NTM infection, 18 cases were focal infection (due to the low white blood cell count of the patient with myelodysplastic syndrome, the detection results were biased, which were excluded from the subsequent analysis) and 18 cases were disseminated infection. The expression of nCD64 in focal infection was 0.72(0.50, 1.55), and that in disseminated infection was 13.63(6.77, 32.31). The difference was statistically significant ( U=15.50, P<0.001). Using focal infection as a control, the area under the ROC curve for the operational characteristics of the subjects was 0.949 3 for disseminated NTM infection. The diagnostic cut-off value of nCD64 was 3.06, with the sensitivity and specificity of the disseminated NTM infection were 88.89% and 100.00%, respectively. Conclusions:In patients with NTM infection before effective treatment, the diagnostic cut-off value of nCD64 of 3.06 has high sensitivity and specificity, which is useful for the aided diagnosis of disseminated NTM infection.
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Full text: 1 Index: WPRIM Language: Zh Journal: Chinese Journal of Infectious Diseases Year: 2023 Type: Article
Full text: 1 Index: WPRIM Language: Zh Journal: Chinese Journal of Infectious Diseases Year: 2023 Type: Article