AI Summary & Key Takeaways
AI InsightThe API can be used to predict the recurrence of bronchiolitis.
📌 3 Key Takeaways
Özet
OBJECTIVES: The aims of this study was to demonstrate the viral pathogens, to evaluate the clinical prognosis, risk factors for recurrence,severity of acute viral bronchiolitis episodes among pediatric patients.MATERIALS AND METHODS: Our study included 101 children aged between 2 months and 2 years diagnosed with clinical bronchiolitisbetween September 2011 and April 2012. The demographics and clinical, laboratory, and radiological results of the patients were recorded. Nasopharyngeal swab samples were collected and analyzed through polymerase chain reaction (PCR) method. The patients werefollowed up for at least one year for new episodes, existence of wheezing, frequency of pulmonary infections, and progression of asthma.RESULTS: In half of the patients, determinants were indicated through the PCR method, with the most frequent being respiratory syncytialvirus (44%). The frequency of bronchiolitis was higher in prematures (p<0.005). There was a relationship between crowded family structure and the existence of wheezing (p=0.003), increased recurrence (p=0.014), and need for inhaler treatment (p=0.014). The frequencywas higher in patients living in urban cities (p<0.001), in houses with heating stoves (p=0.001), and in houses with smokers (p=0.001).Patients living in houses with heating stoves had more severe episodes (p=0.018). Recurrent wheezing and the need for regular inhalerusage were positively correlated with high API scores (p=0.008 and p=0.002, respectively).CONCLUSION: Prematurity, exposure to smoking, living in a crowded house with heating stoves, and an urban life are the risk factorsfor frequent bronchiolitis. The API can be used to predict the recurrence of bronchiolitis.