The clinical outcome of cystic fibrosis is variable in different countries which may reflect environmental influences and the role of early diagnosis on long term outcomes. However, the role of early diagnosis in long-term outcomes of the disease can not be ignored.

Background Hospitalized pediatric patients are at an increased risk of experiencing potential drug-drug interactions (pDDIs) due to polypharmacy and the unlicensed and off-label administration of drugs. The aim of this study is to characterize clinically significant pDDIs in pediatric patients hospitalized in a tertiary respiratory center. Methods A retrospective analysis of medications prescribed to pediatric patients admitted to the pediatric ward (PW) and pediatric intensive care unit (PICU) of a respiratory referral center was carried out over a six-month period. The pDDIs were identified using the Lexi-Interact database and considered as clinically relevant according to the severity rating as defined in the database. Frequency, drug classes, mechanisms, clinical managements, and risk factors were recorded for these potential interactions. Results Eight hundred and forty-five pDDIs were identified from the analysis of 176 prescriptions. Of the total pDDIs, 10.2% in PW and 14.6% in PICU were classified as clinically significant. Anti-infective agents and central nervous system drugs were the main drug classes involved in clinically significant pDDIs as object and/or precipitant drugs. A higher number of medications [odds ratio (OR): 4.8; 95% confidence interval (CI): 2.0–11.4; p < 0.001] and the existence of a nonrespiratory disease, which led to a respiratory disorder (OR: 3.8; 95% CI: 1.40–10.4; p < 0.05), were the main risk factors associated with an increased incidence of pDDIs. Conclusions A high and similar risk of pDDIs exists in pediatric patients with respiratory disorders hospitalized in PW and PICU. The patients prescribed a higher number of medications and presenting respiratory symptoms induced by a nonrespiratory disease require extra care and monitoring. Pediatricians should be educated about clinically significant DDIs for highly prescribed medications in their settings in order to take preventive measures and safeguard patient safety.

Introduction: Respiratory tract infections (RTIs) are a common cause of antibiotic usage in hospitalized pediatric patients. Inappropriate use of antibiotics may lead to the emergence of multidrug-resistant microorganisms and increased treatment costs. Objective: This study was designed to assess antibiotic usage in hospitalized pediatric patients with RTIs. Methods: Medical charts of the patients admitted to the pediatric ward (PW) and pediatric intensive care unit (PICU) of a tertiary respiratory center were reviewed. Patients’ demographic and clinical data including gender, age, weight, history of allergy, length of hospital stay, clinical diagnosis, prescribed antibiotics (indication, dose, and frequency of administration) were collected. The appropriateness of antibiotic usage was evaluated in each patient according to international guidelines. Results : Two hundred seventy-nine hospitalized patients were included in the study. The most common reason for hospitalization was pneumonia (38%), followed by cystic fibrosis (20.1%) and bronchitis (5%). The most commonly used antimicrobial agents were ceftriaxone, azithromycin, and clindamycin which guideline adherence for their usage was 85.3%, 23.3%, and 47%; respectively. Inappropriate dose selection was the main reason for non-adherence to the guidelines. The adherence rate to RTIs’ guidelines (considering all parameters for each patient) was 27.6%. Multivariate logistic regression analysis demonstrated CF and prescription of azithromycin are predictors of guideline non-adherence. Conclusion: We found relatively low adherence to international guidelines in our center that could be related to restricted definitions of optimal antibiotic therapy. Despite most patients received logical antimicrobial therapy, actions should be taken into account to reach optimal antibiotic usage.