Clinical application of flexible fiberoptic bronchoscopy in neonatal respiratory diseases.

BACKGROUND: Respiratory disease is a predominantly observed problem in neonates. Moreover, the application of flexible bronchoscopy in newborns is gradually increasing. This study aimed to investigate the value of bronchoscopy in neonates respiratory abnormalities and evaluate the safety of bronchoscopy application. METHODS: Clinical data and outcomes of 56 neonates who underwent flexible bronchoscopy were retrospectively analyzed. Correlations among indications for bronchoscopy, findings, and clinical diseases were assessed. RESULTS: A total of 56 neonates had a minimum weight of 1200 g at the time of bronchoscopy, while the minimum gestational age at birth was 26 + 1 weeks. A total of 22 cases (39.3%) had two or more clinical indications; the five most common indications were respiratory distress in 24 (42.9%), stridor in 22 (39.3%), pulmonary atelectasis in 10 (17.6%), feeding difficulty in 10 (17.6%), and difficult weaning from mechanical ventilation in 6 (10.7%) cases. A total of 13 types of abnormalities were detected in the respiratory tract. The most common abnormalities were laryngomalacia in 29 (59.2%), tracheobroncomalacia in 8 (16.3%), and vocal cord paralysis in 6 (12.2%) cases. Bronchoalveolar lavage was performed in 39 cases. Eight cases were diagnosed by bronchoscopy and then treated with surgery in the Thoracic Surgery/Otolaryngology Department; all of them were cured and discharged from the hospital after surgery. No serious complications, such as pneumothorax or shock, occurred in any of the children, of whom none died. CONCLUSIONS: Flexible bronchoscopy could play an important role in diagnosing and identifying respiratory disorders in neonates and be safely used with few serious complications.

[Strategie of the "acute respiratory disease room" in two tertiary referral clinics: a retrospective multicenter cohort study]. / Estrategia de "sala enfermedad respiratoria aguda" en dos clínicas de referencia de tercer nivel de complejidad: estudio de cohorte multicéntrica retrospectiva.

Respiratory diseases are one of the main causes of morbidity and mortality in children under 5 years of age. The acute respiratory disease (ERA in Spanish) room strategy implemented in Colombia is an important tool to reduce hospitalization and mortality rates in this population. OBJECTIVE: To describe the health outcomes of the implementation of the ERA room strategy in two health institutions in Bogota. PATIENTS AND METHOD: Multicenter descriptive study including 1785 patients admitted to the ERA rooms of two institutions in Bogota, between December 2019 and 2022. Data on sex, age, admission diagnosis, length of stay in ERA room, education provided, and post discharge follow-up were collected. The main outcomes were evaluated through hospitalization requirement, ICU requirement, and post discharge improvement. RESULTS: 1785 patients were included during the study period. 57% were male; median age was 26.6 months (IQR: 11.8 to 40.6); length of stay in ERA room was 2.62 hours (IQR: 1.73 to 4.88); 91.65% of family members and/or caregivers received educational measures. CONCLUSIONS: This study describes the results of the implementation of the ERA room strategy; the low proportion of patients requiring hospitalization is evident. Additionally, the education provided to parents and caregivers on home management is relevant, as well as the post discharge follow-up of this cohort of patients with acute respiratory disease.

The Role of Exhaled Breath Condensate in Chronic Inflammatory and Neoplastic Diseases of the Respiratory Tract.

Asthma and chronic obstructive pulmonary disease (COPD) are among the most common chronic respiratory diseases. Chronic inflammation of the airways leads to an increased production of inflammatory markers by the effector cells of the respiratory tract and lung tissue. These biomarkers allow the assessment of physiological and pathological processes and responses to therapeutic interventions. Lung cancer, which is characterized by high mortality, is one of the most frequently diagnosed cancers worldwide. Current screening methods and tissue biopsies have limitations that highlight the need for rapid diagnosis, patient differentiation, and effective management and monitoring. One promising non-invasive diagnostic method for respiratory diseases is the assessment of exhaled breath condensate (EBC). EBC contains a mixture of volatile and non-volatile biomarkers such as cytokines, leukotrienes, oxidative stress markers, and molecular biomarkers, providing significant information about inflammatory and neoplastic states in the lungs. This article summarizes the research on the application and development of EBC assessment in diagnosing and monitoring respiratory diseases, focusing on asthma, COPD, and lung cancer. The process of collecting condensate, potential issues, and selected groups of markers for detailed disease assessment in the future are discussed. Further research may contribute to the development of more precise and personalized diagnostic and treatment methods.

Assessment and examination of the respiratory system.

This article aims to outline the fundamental principles of consultations with and clinical assessments of patients with symptoms that may be indicative of respiratory system pathology. The article explores how to perform a respiratory system-focused patient history and physical examination. An evaluation of clinical 'red flags' to reduce the risk of omitting serious illness is also considered, alongside the exploration of features of respiratory pathology and evidence-based clinical decision-making tools that may be used to support clinical diagnosis.

Imaging of Large Airway Disorders.

Large airway disorders encompass a large variety of diseases and pathology, with broad categories including anatomic variants, congenital abnormalities, acquired abnormalities, inflammatory/infiltrative causes, infection, and tumors. The most common diseases in each category are discussed with a focus on the salient imaging findings. Pitfalls to beware of are discussed through the article, and concludes with a general method to approaching large airways pathology that should provide the reader with a basic framework and understanding of this complex topic.

Improved pediatric ICU mortality prediction for respiratory diseases: machine learning and data subdivision insights.

The growing concern of pediatric mortality demands heightened preparedness in clinical settings, especially within intensive care units (ICUs). As respiratory-related admissions account for a substantial portion of pediatric illnesses, there is a pressing need to predict ICU mortality in these cases. This study based on data from 1188 patients, addresses this imperative using machine learning techniques and investigating different class balancing methods for pediatric ICU mortality prediction. This study employs the publicly accessible "Paediatric Intensive Care database" to train, validate, and test a machine learning model for predicting pediatric patient mortality. Features were ranked using three machine learning feature selection techniques, namely Random Forest, Extra Trees, and XGBoost, resulting in the selection of 16 critical features from a total of 105 features. Ten machine learning models and ensemble techniques are used to make accurate mortality predictions. To tackle the inherent class imbalance in the dataset, we applied a unique data partitioning technique to enhance the model's alignment with the data distribution. The CatBoost machine learning model achieved an area under the curve (AUC) of 72.22%, while the stacking ensemble model yielded an AUC of 60.59% for mortality prediction. The proposed subdivision technique, on the other hand, provides a significant improvement in performance metrics, with an AUC of 85.2% and an accuracy of 89.32%. These findings emphasize the potential of machine learning in enhancing pediatric mortality prediction and inform strategies for improved ICU readiness.

Comparison of sleep quality between outpatient and hospitalized children with respiratory tract dysfunction.

OBJECTIVES: The main objective of the study to compare the effect of hospitalized and outpatient settings on quality of sleep in children with respiratory tract dysfunction. METHODOLOGY: A descriptive correlational study was carried out at Dhi-Qar Health Directorate pediatric hospitals. The period of the study was from the November 19, 2023 to March 10, 2024. Purposive sample (non-probability) of 250 children (male and female). A total of (125) children were chosen from the children whose admitted to the hospitals, and a total of (125) children were chosen from the outpatient settings. The study instrument consisted of three parts: the sociodemographic sheet, clinical diagnosis sheet, and sleep quality scale. The questionnaire was modified according to experts' recommendation to use it for children with respiratory tract dysfunction. The questionnaire was evaluated by a panel of 15 experts from diverse medical and nursing professions. Both descriptive and inferential statistics were used to analyze the data. RESULTS: The study findings that effect outpatient settings have more effect from hospitalized settings on quality of sleep in children with respiratory tract dysfunction (M ± SD = 1.322 ± 0.1522). CONCLUSION: A study showed that the quality of sleep in children with respiratory tract dysfunction was generally average, whether in hospitalized or outpatient settings, outpatient settings had greater difficulties falling asleep and waking than children in hospitalized.

Respiratory Diseases Diagnosis Using Audio Analysis and Artificial Intelligence: A Systematic Review.

Respiratory diseases represent a significant global burden, necessitating efficient diagnostic methods for timely intervention. Digital biomarkers based on audio, acoustics, and sound from the upper and lower respiratory system, as well as the voice, have emerged as valuable indicators of respiratory functionality. Recent advancements in machine learning (ML) algorithms offer promising avenues for the identification and diagnosis of respiratory diseases through the analysis and processing of such audio-based biomarkers. An ever-increasing number of studies employ ML techniques to extract meaningful information from audio biomarkers. Beyond disease identification, these studies explore diverse aspects such as the recognition of cough sounds amidst environmental noise, the analysis of respiratory sounds to detect respiratory symptoms like wheezes and crackles, as well as the analysis of the voice/speech for the evaluation of human voice abnormalities. To provide a more in-depth analysis, this review examines 75 relevant audio analysis studies across three distinct areas of concern based on respiratory diseases' symptoms: (a) cough detection, (b) lower respiratory symptoms identification, and (c) diagnostics from the voice and speech. Furthermore, publicly available datasets commonly utilized in this domain are presented. It is observed that research trends are influenced by the pandemic, with a surge in studies on COVID-19 diagnosis, mobile data acquisition, and remote diagnosis systems.

Associations between long-term ozone exposure and small airways function in Chinese young adults: a longitudinal cohort study.

BACKGROUND: Increasing evidence is appearing that ozone has adverse effects on health. However, the association between long-term ozone exposure and lung function is still inconclusive. OBJECTIVES: To investigate the associations between long-term exposure to ozone and lung function in Chinese young adults. METHODS: We conducted a prospective cohort study among 1594 college students with a mean age of 19.2 years at baseline in Shandong, China from September 2020 to September 2021. Lung function indicators were measured in September 2020 and September 2021, including forced vital capacity (FVC), forced expiratory volume in 1 s (FEV1), forced expiratory flow at the 25th, 50th, and 75th percentile of the FVC (FEF25, FEF50, and FEF75) and mean flow rate between 25% and 75% of the FVC (FEF25-75) were measured. Daily 10 km×10 km ozone concentrations come from a well-validated data-fusion approach. The time-weighted average concentrations in 12 months before the lung function test were defined as the long-term ozone exposure. The associations between long-term ozone exposure and lung function indicators in Chinese young adults were investigated using a linear mixed effects model, followed by stratified analyses regarding sex, BMI and history of respiratory diseases. RESULTS: Each interquartile range (IQR) (8.9 µg/m3) increase in long-term ozone exposure were associated with a -204.3 (95% confidence interval (CI): -361.6, -47.0) ml/s, -146.3 (95% CI: -264.1, -28.4) ml/s, and - 132.8 (95% CI: -239.2, -26.4) ml/s change in FEF25, FEF50, and FEF25-75, respectively. Stronger adverse associations were found in female participants or those with BMI ≥ 24 kg/m2 and history of respiratory diseases. CONCLUSION: Long-term exposure to ambient ozone is associated with impaired small airway indicators in Chinese young adults. Females, participants with BMI ≥ 24 kg/m2 and a history of respiratory disease have stronger associations.

Comparison and interobserver reliability between a visual analog scale and the Wisconsin Calf Health Scoring Chart for detection of respiratory disease in dairy calves.

Respiratory disease is an ongoing challenge for calves in the dairy sector with a relatively high prevalence and impact on welfare and economics. Applying scoring protocols for detecting respiratory disease requires that they are easily implemented, consistent between observers and fast to use in daily management. This study was conducted in one Danish dairy farm from September 2020 through January 2021. The study included 126 heifer calves enrolled in the age of 17 to 24 d. All calves were observed every second day for a period of 46 d. At each visit all calves were scored with a new visual analog scale (VAS) and the Wisconsin Calf Health Scoring Chart (WCHSC). We calculated agreement between the 2 scoring systems based on conditional probability to score higher or lower than a cutoff in the VAS compared with a specified cutoff in WCHSC used as reference test. A generalized mixed effects regression model was developed to estimate the prevalence of respiratory disease and the overall agreement between the 2 scoring systems. The overall agreement between the VAS and WCHSC was 89.6%. The second part of the study assessed interobserver reliability between 2 experienced observers and between an experienced observer and veterinary students. The interobserver reliability was calculated by intraclass correlation coefficient and was 0.58 between experienced observers and was 0.34 between an experienced observer and veterinary students indicating a moderate to poor reliability between the observers. It was possible to use VAS as an alternative clinical scoring method, which primarily focuses on the general condition of the individual calf rather than specific categories of clinical signs. Our study set up lacked a comparison to other diagnostic tools i.e., thoracic ultrasound to confirm the findings which should be considered in future studies when exploring VAS as a screening tool for detection of respiratory disease in dairy calves.

Gasotransmitter Research Advances in Respiratory Diseases.

Significance: Gasotransmitters are small gas molecules that are endogenously generated and have well-defined physiological functions. The most well-defined gasotransmitters currently are nitric oxide (NO), carbon monoxide (CO), and hydrogen sulfide (H2S), while other potent gasotransmitters include ammonia, methane, cyanide, hydrogen gas, and sulfur dioxide. Gasotransmitters play a role in various respiratory diseases such as asthma, chronic obstructive pulmonary disease, obstructive sleep apnea, lung infection, bronchiectasis, cystic fibrosis, primary ciliary dyskinesia, and COVID-19. Recent Advances: Gasotransmitters can act as biomarkers that facilitate disease diagnosis, indicate disease severity, predict disease exacerbation, and evaluate disease outcomes. They also have cell-protective properties, and many studies have been conducted to explore their pharmacological applications. Innovative drug donors and drug delivery methods have been invented to amplify their therapeutic effects. Critical Issues: In this article, we briefly reviewed the physiological and pathophysiological functions of some gasotransmitters in the respiratory system, the progress in detecting exhaled gasotransmitters, as well as innovative drugs derived from these molecules. Future Directions: The current challenge for gasotransmitter research includes further exploring their physiological and pathological functions, clarifying their complicated interactions, exploring suitable drug donors and delivery devices, and characterizing new members of gasotransmitters. Antioxid. Redox Signal. 40, 168-185.

Efficacy and Safety of an mRNA-Based RSV PreF Vaccine in Older Adults.

BACKGROUND: Respiratory syncytial virus (RSV) can cause substantial morbidity and mortality among older adults. An mRNA-based RSV vaccine, mRNA-1345, encoding the stabilized RSV prefusion F glycoprotein, is under clinical investigation. METHODS: In this ongoing, randomized, double-blind, placebo-controlled, phase 2-3 trial, we randomly assigned, in a 1:1 ratio, adults 60 years of age or older to receive one dose of mRNA-1345 (50 µg) or placebo. The two primary efficacy end points were the prevention of RSV-associated lower respiratory tract disease with at least two signs or symptoms and with at least three signs or symptoms. A key secondary efficacy end point was the prevention of RSV-associated acute respiratory disease. Safety was also assessed. RESULTS: Overall, 35,541 participants were assigned to receive the mRNA-1345 vaccine (17,793 participants) or placebo (17,748). The median follow-up was 112 days (range, 1 to 379). The primary analyses were conducted when at least 50% of the anticipated cases of RSV-associated lower respiratory tract disease had occurred. Vaccine efficacy was 83.7% (95.88% confidence interval [CI], 66.0 to 92.2) against RSV-associated lower respiratory tract disease with at least two signs or symptoms and 82.4% (96.36% CI, 34.8 to 95.3) against the disease with at least three signs or symptoms. Vaccine efficacy was 68.4% (95% CI, 50.9 to 79.7) against RSV-associated acute respiratory disease. Protection was observed against both RSV subtypes (A and B) and was generally consistent across subgroups defined according to age and coexisting conditions. Participants in the mRNA-1345 group had a higher incidence than those in the placebo group of solicited local adverse reactions (58.7% vs. 16.2%) and of systemic adverse reactions (47.7% vs. 32.9%); most reactions were mild to moderate in severity and were transient. Serious adverse events occurred in 2.8% of the participants in each trial group. CONCLUSIONS: A single dose of the mRNA-1345 vaccine resulted in no evident safety concerns and led to a lower incidence of RSV-associated lower respiratory tract disease and of RSV-associated acute respiratory disease than placebo among adults 60 years of age or older. (Funded by Moderna; ConquerRSV ClinicalTrials.gov number, NCT05127434.).