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1.
Acta Paediatr ; 113(4): 670-676, 2024 Apr.
Article in English | MEDLINE | ID: mdl-38243675

ABSTRACT

AIM: The aim of this review was to summarise the most recent evidence about the use of omics-based techniques as an instrument for a more rapid and accurate characterisation of respiratory tract infections, neurological infections and sepsis in paediatrics. METHODS: We performed a narrative review using PubMed and a set of inclusion criteria: English language articles, clinical trials, meta-analysis and reviews including only paediatric population inherited to this topic in the last 15 years. RESULTS: The examined studies suggest that host gene expression signatures are an effective method to characterise the different types of infections, to distinguish infection from colonisation and, in some cases, to assess the severity of the disease in children. CONCLUSIONS: 'Omics-based techniques' may help to define the aetiology of infections in paediatrics, representing a useful tool to choose the most appropriate therapies and limit antibiotic resistance.


Subject(s)
Respiratory Tract Infections , Sepsis , Child , Humans , Anti-Bacterial Agents/therapeutic use , Sepsis/diagnosis , Sepsis/genetics , Sepsis/drug therapy , Gene Expression Profiling , Language
2.
Allergol Immunopathol (Madr) ; 49(2): 60-65, 2021.
Article in English | MEDLINE | ID: mdl-33641295

ABSTRACT

INTRODUCTION AND OBJECTIVES: Relationship between the causal mechanisms of pediatric severe asthma and severity of symptoms would be helpful for developing personalized strategies for treatment and prevention. MATERIALS AND METHODS: For this study, 698 medical histories of asthmatics between 6 and 18 years of age were reviewed in a period of 2 years. Variables analyzed were: age, sex, ethnicity, perinatological history, allergy history, asthma predictive index (API), exposure to tobacco, heavy traffic or epithelium, lung function, age of onset of symptoms, hospitalization admissions/PICU, systemic corticosteroids, daily symptoms control, device prescribe for daily control, and adherence. RESULTS: A total of 86 children with severe asthma were included (12.3%). Mean age 13.3 +/- 1.86 years, sex ratio1:1, mean age of symptom onset 2.765 +/- 3.06 years, mean IgE 1076.18KU / L +/- 1136, mean eosinophils 604c / mcl +/- 511.9, mean of FEV1 93.15% +/- 16.3. Evidently, 70 children (81.4%) had positive API, 68 (79.1%) rhinitis, 34 (39.5%) atopic dermatitis. 73 (83.9%) sensitized to inhalants and 56 (65.1%) to dermatophagoides, 39 (45.3%) passive smokers, 19 (22.1%) exposure to heavy traffic; 55 (64%) showed symptoms with exercise, 35 (40.7%) had audible wheezing. The mean systemic corticosteroid cycles/year was 3.63 +/- 3.23, mean PICU admissions 0.36 +/- 0.83, mean hospital admissions 4.31 +/- 5.3, average emergency room visits/year 19.44 +/- 16.28. 38 (56.7%) had good adherence, 44 (51%) used an MDI device and 39 (45.3%) used dry powder. CONCLUSIONS: Children with severe asthma meet the following criteria: premature, positive API, rhinitis, atopic dermatitis, high IgE, eosinophilia, passive smokers, exposure to heavy traffic, decreased lung function, and low adherence to controller medication.


Subject(s)
Anti-Asthmatic Agents/therapeutic use , Asthma/diagnosis , Dermatitis, Atopic/epidemiology , Eosinophils/immunology , Rhinitis, Allergic, Perennial/epidemiology , Adolescent , Asthma/blood , Asthma/drug therapy , Asthma/immunology , Child , Dermatitis, Atopic/immunology , Female , Humans , Leukocyte Count , Male , Medication Adherence/statistics & numerical data , Rhinitis, Allergic, Perennial/immunology , Risk Factors , Severity of Illness Index , Tobacco Smoke Pollution/adverse effects , Tobacco Smoke Pollution/statistics & numerical data
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