Epidemiological characteristics, clinical characteristics, and prognostic factors of children with atopy hospitalised with adenovirus pneumonia

Risk factors of severe conditions in hospitalized children with adenovirus infection and chest CT features

BACKGROUND

Children infected with human adenovirus (HAdV) were at particularly high risk of developing severe disease, but the risk factors of severe conditions are poorly understood.

OBJECTIVES

To explore the risk factors for developing into severe conditions in pediatric patients with HAdV infection by analyzing baseline epidemiological data, clinical characteristics, and computed tomography (CT) imaging features.

METHODS

In this retrospective study, 267 children with HAdV infection were included between October 2016 and September 2021 at Tongji Hospital, Wuhan, China. A descriptive analysis was conducted on the epidemiological and clinical data, as well as patient outcomes. CT manifestations were semi-quantitatively scored based on the presence of consolidation, ground-glass opacities, and emphysema in each lung lobe.

RESULTS

Our analysis revealed that there was a statistically significant difference in the rate of abnormalities observed on chest CT imaging (P = 0.007) and the imaging characteristics of chest CTs (P = 0.002) when comparing severe and mild cases. We found that co-infection with two or more additional pathogens occurred more frequently in severe cases. Additionally, the proportion of lymphocytes in laboratory tests was significantly lower in patients with severe conditions. Furthermore, both the proportions and scores of consolidations were markedly higher in each lung lobe among the severe cases.

CONCLUSIONS

Our findings may assist in identifying children hospitalized with HAdV who are at increased risk for severe conditions, thereby facilitating more aggressive treatment and care strategies.

Screening and verification of differentially expressed serum proteins in children with severe adenovirus pneumonia

Background

Human adenoviruses are prevalent pathogens that cause severe acute respiratory infections. The clinical presentation of the adenoviral pneumonia is varied; in severe cases, they may cause systemic multi-system damages. Currently, early clinical differential diagnosis is difficult under the existing testing methods, the study identified potential biomarkers by screening and validating differentially expressed proteins (DEPs), and aimed at distinguishing between severe and non-severe adenovirus pneumonia in children aged <14 years.

Methods

DEPs were identified using data-independent acquisition (DIA) quantitative proteomics technology, and potential biomarkers were further validated using an enzyme-linked immunosorbent assay (ELISA).

Results

Twenty-seven identical DEPs were found in patients with severe adenovirus pneumonia. Among these, 10 were downregulated, and 17 were upregulated. In the protein-protein interaction network, five proteins were located at the center of the functional network. Among these, E-selectin showed significantly higher serum expression levels in the severe adenoviral pneumonia group than in adenoviral pneumonia and control groups (p < 0.001). ELISA results were consistent with the proteomic analyses. The receiver operating characteristic (ROC) curve for E-selectin revealed a sensitivity of 79.31% and a specificity of 96.55%, with an area under the curve (AUC) of 0.92.

Conclusion

E-selectin has potential as a novel biomarker for severe adenoviral pneumonia, and offers insights for improved diagnosis and clinical management.

Clinical features and prediction of risk factors for severe adenovirus pneumonia in children

Background

Adenoviral infections are most likely to invade the respiratory tract, and the clinical manifestations of the infections are varied; in severe cases, they may cause systemic multi-system damages and so on. At present, early clinical differential diagnosis is difficult under the existing testing methods, so it is important to analyze its clinical characteristics and risk factors for early identification of critical status and early and rational treatment.

Methods

The clinical data of 202 children with adenovirus pneumonia admitted to Tianjin Children's Hospital from January 2019 to December 2021 were retrospectively analyzed. According to the evaluation criteria for severe pneumonia, they were divided into a severe group (77 cases) and a non-severe group (125 cases). The clinical characteristics, complications, and laboratory data of the 2 groups were collected for statistical analysis, and then significant factors were analyzed by receiver operating characteristic curve (ROC) and binary logistic regression.

Results

Among the 202 children with adenovirus pneumonia, there were 108 males and 94 females. The children ranged in age from 2 months to 13 years. The duration of fever, incidence of wheezing, neutrophil ratio (NEUT%), and serum ferritin (SF) levels were significantly higher in the severe group than in the non-severe group (χ2/Z/P=-9.173/<0.001, 5.469/0.019, 5.831/<0.001, -3.845/<0.001). The incidences of liver injury, electrolyte disturbance, and coagulation dysfunction in the severe group were significantly higher than those in the non-severe group (χ2/Z/P=0.001/0.001, 28.208/0.001, 32.079/0.001). Logistic regression combined with ROC curve analysis suggested that fever duration >4.50 days, with wheezing, NEUT% ≥47.60, and SF ≥139.60 ng/mL were risk factors for developing severe adenovirus pneumonia in children [odds ratio (OR) (95% CI): 1.394 (1.230-1.581), 3.673 (1.246-10.828), 1.034 (1.001-1.067), 1.004 (1.001-1.008)].

Conclusions

Studies have shown that the fever associated with severe adenovirus pneumonia has a long duration, and that severe clinical manifestations and multiple complications, fever duration >4.50 days, wheezing, NEUT% ≥47.60, and SF ≥139.60 ng/mL are risk factors for severe adenovirus pneumonia.

Lactate dehydrogenase and the severity of adenoviral pneumonia in children: A meta-analysis

Background

Children with severe adenoviral pneumonia (ADVP) have poor prognosis and high risk of mortality. We performed a meta-analysis to evaluate the association between pretreatment lactate dehydrogenase (LDH) and severity, postinfectious bronchiolitis obliterans (PIBO), and mortality in children with ADVP.

Methods

Relevant observational studies were identified by search of PubMed, Embase, Web of Science, Wanfang, and CNKI databases from inception to August 3, 2022. A random effect model was used to pool the results by incorporating the potential between-study heterogeneity.

Results

Overall, 23 studies with 4,481 children with ADVP were included in this meta-analysis. Results of meta-analysis showed that children with severe ADVP had a significantly higher level of pretreatment LDH as compared to those with non-severe ADVP (standard mean difference [SMD]: 0.51, 95% confidence interval [CI]: 0.36 to 0.66, p < 0.001; I 2 = 69%). Besides, pooled results also suggested that the pretreatment LDH was significantly higher in children who developed PIBO as compared to those who did not (SMD: 0.47, 95% CI: 0.09 to 0.84, p = 0.02, I 2 = 80%). Finally, results of the meta-analysis also confirmed that a higher pretreatment LDH (>500 IU/L) was a risk factor of increased mortality during hospitalization (odds ratio: 3.10, 95% CI: 1.62 to 5.92, p < 0.001, I 2 = 0%). Sensitivity analyses by excluding one dataset at a time showed consistent results.

Conclusion

High pretreatment LDH may be associated with disease severity, development of PIBO, and increased risk of mortality in children with ADVP.

Construction and Verification of a Predictive Model for Risk Factors in Children With Severe Adenoviral Pneumonia

OBJECTIVE

To construct and validate a predictive model for risk factors in children with severe adenoviral pneumonia based on chest low-dose CT imaging and clinical features.

METHODS

A total of 177 patients with adenoviral pneumonia who underwent low-dose CT examination were collected between January 2019 and August 2019. The assessment criteria for severe pneumonia were divided into mild group (N = 125) and severe group (N = 52). All cases divided into training cohort (N = 125) and validation cohort (N = 52). We constructed a prediction model by drawing a nomogram and verified the predictive efficacy of the model through the ROC curve, calibration curve and decision curve analysis.

RESULTS

The difference was statistically significant (P < 0.05) between the mild adenovirus pneumonia group and the severe adenovirus pneumonia group in gender, age, weight, body temperature, L/N ratio, LDH, ALT, AST, CK-MB, ADV DNA, bronchial inflation sign, emphysema, ground glass sign, bronchial wall thickening, bronchiectasis, pleural effusion, consolidation score, and lobular inflammation score. Multivariate logistic regression analysis showed that gender, LDH value, emphysema, consolidation score, and lobular inflammation score were severe independent risk factors for adenovirus pneumonia in children. Logistic regression was employed to construct clinical model, imaging semantic feature model, and combined model. The AUC values of the training sets of the three models were 0.85 (0.77-0.94), 0.83 (0.75-0.91), and 0.91 (0.85-0.97). The AUC of the validation set was 0.77 (0.64-0.91), 0.83 (0.71-0.94), and 0.85 (0.73-0.96), respectively. The calibration curve fit good of the three models. The clinical decision curve analysis demonstrates the clinical application value of the nomogram prediction model.

CONCLUSION

The prediction model based on chest low-dose CT image characteristics and clinical characteristics has relatively clear predictive value in distinguishing mild adenovirus pneumonia from severe adenovirus pneumonia in children and might provide a new method for early clinical prediction of the outcome of adenovirus pneumonia in children.