A study in BMCInfectDis finds a negative association between monocyte count and severe human adenovirus pneumonia in children under 6 years. Monocyte count may be a protective factor here in young children.
]. The processes by which this correlation works, however, remain obscure. Furthermore, it is unclear how this monocyte count relates to the severity of HAdV-induced pneumonia in children.
This study aims to investigate the relationship between monocyte count and the severity of HAdV pneumonia and to develop it as a predictive factor for adenovirus infections, particularly in children under the age of six who have severe HAdV pneumonia.Patients' data were collected from the electronic medical records of the 1st People's Hospital and were processed anonymously to guarantee privacy.
All 595 participants were assigned to two groups: a group with mild HAdV infection ; a group with severe HAdV pneumonia. The pneumonia severity classification was based on the WHO guidelines []. In severe pneumonia, oxygen was administered, and the diagnosis was performed when cough or difficulty breathing were present, with ≥ 1 of the listed symptoms like lower chest wall draws in with each breath, flaring of nostrils, or grunting .Inclusion criteria: patients between 28 days and 6 years old.
Exclusion criteria: patients with HIV infection, malignant disease, diagnosed or suspected tuberculosis, ongoing immunosuppression therapy, immunodeficiency, severe organ dysfunction, chronic illness like a congenital heart or chronic lung disease. patients with substantial missing medical data, and with abnormally high monocyte count .Continuous variables were divided into two groups: normally and non-normally distributed.
Additionally, the general combinatorial model was used to distinguish between the non-linear relationship between monocyte count and the risk of developing severe HAdV pneumonia. Smooth curve fitting and a weighted general additive model were used to demonstrate the potential nonlinearity of the data. Moreover, two-piecewise linear regression models demonstrated thresholds in non-linear associations.
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