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.).

Research progress of KL-6 in respiratory system diseases.

This article comprehensively elucidates the discovery of Krebs von den Lungen-6 (KL-6), its structural features, functional mechanisms, and the current research status in various respiratory system diseases. Discovered in 1985, KL-6 was initially considered a tumor marker, but its elevated levels in interstitial lung disease (ILD) led to its recognition as a relevant serum marker for ILD. KL-6 is primarily produced by type 2 alveolar epithelial cell regeneration. Over the past 30 years since the discovery of KL-6, the number of related research papers has steadily increased annually. Following the coronavirus disease 2019 (COVID-19) pandemic, there has been a sudden surge in relevant literature. Despite KL-6's potential as a biomarker, its value in the diagnosis, treatment, and prognosis varies across different respiratory diseases, including ILD, idiopathic pulmonary fibrosis (IPF), COVID-19, and lung cancer. Therefore, as an important serum biomarker in respiratory system diseases, the value of KL-6 still requires further investigation.

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.

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.

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.

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.

A systematic review and meta-analysis of respiratory dysfunction in Parkinson's disease.

INTRODUCTION: Respiratory dysfunction in Parkinson's disease (PD) is common and associated with increased hospital admission and mortality rates. Central and peripheral mechanisms have been proposed in PD. To date no systematic review identifies the extent and type of respiratory impairments in PD compared with healthy controls. METHODS: PubMed, EMBASE, CINAHL, Web of Science, Pedro, MEDLINE, Cochrane Library and OpenGrey were searched from inception to December 2021 to identify case-control studies reporting respiratory measures in PD and matched controls. RESULTS: Thirty-nine studies met inclusion criteria, the majority with low risk of bias across Risk of Bias Assessment tool for Non-randomized Studies (RoBANS) domains. Data permitted pooled analysis for 26 distinct respiratory measures. High-to-moderate certainty evidence of impairment in PD was identified for vital capacity (standardised mean difference [SMD] 0.75; 95% CI 0.45-1.05; p < 0.00001; I2  = 10%), total chest wall volume (SMD 0.38; 95% CI 0.09-0.68; p = 0.01; I2  = 0%), maximum inspiratory pressure (SMD 0.91; 95% CI 0.64-1.19; p < 0.00001; I2  = 43%) and sniff nasal inspiratory pressure (SMD 0.58; 95% CI 0.30-0.87; p < 0.00001; I2  = 0%). Sensitivity analysis provided high-moderate certainty evidence of impairment for forced vital capacity and forced expiratory volume in 1 s during medication ON phases and increased respiratory rate during OFF phases. Lower certainty evidence identified impairments in PD for maximum expiratory pressure, tidal volume, maximum voluntary ventilation and peak cough flow. CONCLUSIONS: Strong evidence supports a restrictive pattern with inspiratory muscle weakness in PD compared with healthy controls. Limited data for central impairment were identified with inconclusive findings.

Deployment-Related Respiratory Disease: Where Are We?

Military personnel and veterans who have deployed to Afghanistan, Iraq, and parts of Southwest Asia (SWA) since 1990 are at risk of developing a host of respiratory symptoms and deployment-related respiratory diseases (DRRDs). This review aims to summarize our current understanding of DRRD and inform pulmonary practitioners of recent updates to DRRD screening, diagnosis, evaluation, and management. The most common respiratory diseases in these patients include asthma, chronic sinonasal disease, laryngeal disease/dysfunction, and distal lung disease. Pulmonary function testing and chest imaging are the most commonly used diagnostic tools, but techniques such as lung clearance index testing via multiple breath washout, forced oscillation testing/impulse oscillometry, and quantitative chest computed tomography (CT) assessment appear promising as noninvasive modalities to aid in lung disease detection in this population. We also summarize guidance on conducting an occupational and deployment exposure history as well as recommendations for testing. Finally, we discuss the Sergeant First Class Heath Robinson Honoring our Promise to Address Comprehensive Toxics Act of 2022 (PACT Act) that includes a list of health conditions that are "presumptively" considered to be related to SWA military deployment toxic exposures, and provide resources for clinicians who evaluate and treat patients with DRRD.

Evaluating Listening Performance for COVID-19 Detection by Clinicians and Machine Learning: Comparative Study.

BACKGROUND: To date, performance comparisons between men and machines have been carried out in many health domains. Yet machine learning (ML) models and human performance comparisons in audio-based respiratory diagnosis remain largely unexplored. OBJECTIVE: The primary objective of this study was to compare human clinicians and an ML model in predicting COVID-19 from respiratory sound recordings. METHODS: In this study, we compared human clinicians and an ML model in predicting COVID-19 from respiratory sound recordings. Prediction performance on 24 audio samples (12 tested positive) made by 36 clinicians with experience in treating COVID-19 or other respiratory illnesses was compared with predictions made by an ML model trained on 1162 samples. Each sample consisted of voice, cough, and breathing sound recordings from 1 subject, and the length of each sample was around 20 seconds. We also investigated whether combining the predictions of the model and human experts could further enhance the performance in terms of both accuracy and confidence. RESULTS: The ML model outperformed the clinicians, yielding a sensitivity of 0.75 and a specificity of 0.83, whereas the best performance achieved by the clinicians was 0.67 in terms of sensitivity and 0.75 in terms of specificity. Integrating the clinicians' and the model's predictions, however, could enhance performance further, achieving a sensitivity of 0.83 and a specificity of 0.92. CONCLUSIONS: Our findings suggest that the clinicians and the ML model could make better clinical decisions via a cooperative approach and achieve higher confidence in audio-based respiratory diagnosis.

Role of Nasal Nitric Oxide in Primary Ciliary Dyskinesia and Other Respiratory Conditions in Children.

Nitric oxide (NO) is produced within the airways and released with exhalation. Nasal NO (nNO) can be measured in a non-invasive way, with different devices and techniques according to the age and cooperation of the patients. Here, we conducted a narrative review of the literature to examine the relationship between nNO and some respiratory diseases with a particular focus on primary ciliary dyskinesia (PCD). A total of 115 papers were assessed, and 50 were eventually included in the review. nNO in PCD is low (below 77 nL/min), and its measurement has a clear diagnostic value when evaluated in a clinically suggestive phenotype. Many studies have evaluated the role of NO as a molecular mediator as well as the association between nNO values and genotype or ciliary function. As far as other respiratory diseases are concerned, nNO is low in chronic rhinosinusitis and cystic fibrosis, while increased values have been found in allergic rhinitis. Nonetheless, the role in the diagnosis and prognosis of these conditions has not been fully clarified.

A simplified scoring system for the diagnosis of diarrhea and respiratory diseases in dairy calves.

Objective: To compare the capacity of a simplified calf health scoring chart (SIM score) with the University of Wisconsin's calf health scoring chart (WIN score) for the diagnosis of calf diarrhea and calf respiratory disease (RD). Animals and procedures: Holstein calves (N = 222) were clinically evaluated for diarrhea and RD diagnosis using the WIN and SIM scores. The WIN score was based on fecal consistency for diagnosis of diarrhea (0 = feces of normal consistency to 3 = watery feces; score ≥ 2 = positive diagnosis); and on nasal discharge, ocular discharge, coughing, ear position, and rectal temperature for diagnosis of RD (each clinical sign receives a score of 0 to 3; aggregate score ≥ 5 = positive diagnosis). The SIM score was based on a hide cleanliness score for diagnosis of diarrhea [0 = negative (calf was clean) and 1 = positive (tail head region, thighs, and/or legs were soiled)]; and on nasal discharge, ocular discharge, coughing, and ear position for diagnosis of RD (rectal temperature measurement was not required and each clinical sign had 2 levels of severity; aggregate score ≥ 5 = positive diagnosis). Results: In the RD diagnosis, the SIM score had a sensitivity of 88.24%, a specificity of 95.01%, a positive predictive value (PPV) of 55.56%, and a negative predictive value (NPV) of 99.13%. In the diarrhea diagnosis, the SIM score had a sensitivity of 94.62%, a specificity of 49.64%, a PPV of 18.22%, and an NPV of 98.73%. Conclusion: Compared with the WIN score, the SIM score is a reliable test for diagnosing RD but not for diagnosing diarrhea.

Un système de notation simplifié pour le diagnostic de la diarrhée et des maladies respiratoires chez les veaux laitiers. Objectif: Comparer la capacité d'un tableau de notation simplifié de la santé du veau (score SIM) avec le tableau de notation de la santé du veau (score WIN) de l'University of Wisconsin pour le diagnostic de la diarrhée du veau et de la maladie respiratoire du veau (RD). Animaux et procédures: Des veaux Holstein (N = 222) ont été évalués cliniquement pour le diagnostic de diarrhée et de RD à l'aide des scores WIN et SIM. Le score WIN était basé sur la consistance fécale pour le diagnostic de diarrhée (0 = fèces de consistance normale à 3 = fèces aqueuses; score ≥ 2 = diagnostic positif ); et sur l'écoulement nasal, l'écoulement oculaire, la toux, la position des oreilles et la température rectale pour le diagnostic de RD (chaque signe clinique reçoit un score de 0 à 3; score global ≥ 5 = diagnostic positif ). Le score SIM était basé sur un score de propreté de la peau pour le diagnostic de diarrhée [0 = négatif (le mollet était propre) et 1 = positif (la région de la tête de la queue, les cuisses et/ou les pattes étaient souillées); et sur l'écoulement nasal, l'écoulement oculaire, la toux et la position des oreilles pour le diagnostic de RD (la mesure de la température rectale n'était pas requise et chaque signe clinique avait 2 niveaux de gravité; score global ≥ 5 = diagnostic positif ). Résultats: Dans le diagnostic de RD, le score SIM avait une sensibilité de 88,24 %, une spécificité de 95,01 %, une valeur prédictive positive (VPP) de 55,56 % et une valeur prédictive négative (VPN) de 99,13 %. Dans le diagnostic de diarrhée, le score SIM avait une sensibilité de 94,62 %, une spécificité de 49,64 %, une VPP de 18,22 % et une VPN de 98,73 %. Conclusion: Comparé au score WIN, le score SIM est un test fiable pour diagnostiquer le RD mais pas pour diagnostiquer la diarrhée.(Traduit par Dr Serge Messier).

The adverse effect of ambient temperature on respiratory deaths in a high population density area: the case of Malta.

BACKGROUND: The effect of ambient temperature on respiratory mortality has been consistently observed throughout the world under different climate change scenarios. Countries experiencing greater inter-annual variability in winter temperatures (and may not be lowest winter temperatures) have greater excess winter mortality compared to countries with colder winters. This study investigates the association between temperature and respiratory deaths in Malta which has one of the highest population densities in the world with a climate that is very hot in summer and mild in winter. METHODS: Daily number of respiratory deaths (7679 deaths) and meteorological data (daily average temperature, daily average humidity) were obtained from January 1992 to December 2017. The hot and cold effects were estimated at different temperatures using distributed lag non-linear models (DLNM) with a Poisson distribution, controlling for time trend, relative humidity and holidays. The reference temperature (MMT) for the minimum response-exposure relationship was estimated and the harvesting effects of daily temperature (0-27 lag days) were investigated for daily respiratory mortality. Effects were also explored for different age groups, gender and time periods. RESULTS: Cooler temperatures (8-15 °C) were significantly related to higher respiratory mortality. At 8.9 °C (1st percentile), the overall effect of daily mean temperature was related to respiratory deaths (RR 2.24, 95%CI 1.10-4.54). These effects were also found for males (95%CI 1.06-7.77) and males across different age groups (Males Over 65 years: RR 4.85, 95%CI 2.02-11.63 vs Males between 16 and 64 years: RR 5.00, 95%CI 2.08-12.03) but not for females. Interestingly, colder temperatures were related to respiratory deaths in the earliest time period (1992-2000), however, no strong cold effect was observed for later periods (2000-2017). In contrast, no heat effect was observed during the study period and across other groups. CONCLUSIONS: The higher risk for cold-related respiratory mortality observed in this study could be due to greater inter-annual variability in winter temperatures which needs further exploration after adjusting for potential physical and socio-demographic attributes. The study provides useful evidence for policymakers to improve local warning systems, adaptation, and intervention strategies to reduce the impact of cold temperatures.

Diagnosis and management of allergy and respiratory disorders in sport: An EAACI task force position paper.

Allergy and respiratory disorders are common in young athletic individuals. In the context of elite sport, it is essential to secure an accurate diagnosis in order to optimize health and performance. It is also important, however, to consider the potential impact or consequences of these disorders, in recreationally active individuals engaging in structured exercise and/or physical activity to maintain health and well-being across the lifespan. This EAACI Task Force was therefore established, to develop an up-to-date, research-informed position paper, detailing the optimal approach to the diagnosis and management of common exercise-related allergic and respiratory conditions. The recommendations are informed by a multidisciplinary panel of experts including allergists, pulmonologists, physiologists and sports physicians. The report is structured as a concise, practically focussed document, incorporating diagnostic and treatment algorithms, to provide a source of reference to aid clinical decision-making. Throughout, we signpost relevant learning resources to consolidate knowledge and understanding and conclude by highlighting future research priorities and unmet needs.

Diagnostic characterization of respiratory allergies by means of a multiplex immunoassay.

Allergic sensitization is commonly assessed in patients by performing the skin prick test (SPT) or determining specific immunoglobulin (IgE) levels in blood samples with the ImmunoCAP™ assay, which measures each allergen and sample separately. This paper explores the possibility to investigate respiratory allergies with a high throughput method, the Meso Scale Discovery (MSD) multiplex immunoassay, measuring IgE levels in low volumes of blood. The MSD multiplex immunoassay, developed and optimized with standards and allergens from Radim Diagnostics, was validated against the SPT and the ImmunoCAP assay. For 18 adults (15 respiratory allergy patients and three controls), blood collection and the SPT were performed within the same hour. Pearson correlations and Bland-Altman analysis showed high comparability of the MSD multiplex immunoassay with the SPT and the ImmunoCAP assay, except for house dust mite. The sensitivity of the MSD multiplexed assay was ≥78% for most allergens compared to the SPT and ImmunoCAP assay. Additionally, the specificity of the MSD multiplex immunoassay was ≥ 87% - the majority showing 100% specificity. Only the rye allergen had a low specificity when compared to the SPT, probably due to cross-reactivity. The reproducibility of the MSD multiplex immunoassay, assessed as intra- and interassay reproducibility and biological variability between different sampling moments, showed significantly high correlations (r = 0·943-1) for all tested subjects (apart from subject 13; r = 0·65-0·99). The MSD multiplex immunoassay is a reliable method to detect specific IgE levels against respiratory allergens in a multiplexed and high-throughput manner, using blood samples as small as from a finger prick.

Comparison of Aerodigestive and Nonaerodigestive Provider Responses to Clinical Case Vignettes.

OBJECTIVE: To evaluate differences in practice patterns between aerodigestive and nonaerodigestive providers in pediatric gastroenterology when diagnosing and treating common aerodigestive complaints. STUDY DESIGN: A questionnaire comprised of clinical vignettes with multiple-choice questions was distributed to both aerodigestive and nonaerodigestive pediatric gastroenterologists. Vignettes focused on management of commonly encountered general gastroenterology and aerodigestive issues, such as gastroesophageal (GE) reflux, aspiration, and feeding difficulties. Tests of equal proportions were used to compare rates of testing and empiric therapy within and across groups. Multivariate analysis was used to assess differences in response rates between aerodigestive and nonaerodigestive providers. RESULTS: A total of 88 pediatric gastroenterologists from 18 institutions completed the questionnaire. There were 35 aerodigestive gastroenterology providers and 53 nonaerodigestive gastroenterology providers. The nonaerodigestive group included 31 general gastroenterologists and 22 providers with self-identified subspecialty gastroenterology expertise. Aerodigestive specialists were more likely than nonaerodigestive gastroenterologists to pursue testing over empiric therapy in cases involving isolated respiratory symptoms (P < .05); aerodigestive providers were more likely to recommend pH-impedance testing, videofluoroscopic swallow studies, and upper gastrointestinal barium study (P < .05 for each test) depending on the referring physician. For vignettes involving infant GE reflux, both groups chose empiric treatments more frequently than testing (P < .001), although aerodigestive providers were more likely than nonaerodigestive providers to pursue testing like upper gastrointestinal barium studies (P < .05). CONCLUSIONS: Although some practice patterns were similar between groups, aerodigestive providers pursued more testing than nonaerodigestive providers in several clinical scenarios including infants with respiratory symptoms and GE reflux.

Effect of ambient fine particulates (PM2.5) on hospital admissions for respiratory and cardiovascular diseases in Wuhan, China.

BACKGROUND: Positive associations between ambient PM2.5 and cardiorespiratory disease have been well demonstrated during the past decade. However, few studies have examined the adverse effects of PM2.5 based on an entire population of a megalopolis. In addition, most studies in China have used averaged data, which results in variations between monitoring and personal exposure values, creating an inherent and unavoidable type of measurement error. METHODS: This study was conducted in Wuhan, a megacity in central China with about 10.9 million people. Daily hospital admission records, from October 2016 to December 2018, were obtained from the Wuhan Information center of Health and Family Planning, which administrates all hospitals in Wuhan. Daily air pollution concentrations and weather variables in Wuhan during the study period were collected. We developed a land use regression model (LUR) to assess individual PM2.5 exposure. Time-stratified case-crossover design and conditional logistic regression models were adopted to estimate cardiorespiratory hospitalization risks associated with short-term exposure to PM2.5. We also conducted stratification analyses by age, sex, and season. RESULTS: A total of 2,806,115 hospital admissions records were collected during the study period, from which we identified 332,090 cardiovascular disease admissions and 159,365 respiratory disease admissions. Short-term exposure to PM2.5 was associated with an increased risk of a cardiorespiratory hospital admission. A 10 µg/m3 increase in PM2.5 (lag0-2 days) was associated with an increase in hospital admissions of 1.23% (95% CI 1.01-1.45%) and 1.95% (95% CI 1.63-2.27%) for cardiovascular and respiratory diseases, respectively. The elderly were at higher PM-induced risk. The associations appeared to be more evident in the cold season than in the warm season. CONCLUSIONS: This study contributes evidence of short-term effects of PM2.5 on cardiorespiratory hospital admissions, which may be helpful for air pollution control and disease prevention in Wuhan.

Respiratory and otolaryngological disorders in Down syndrome from one center in Brazil.

Down syndrome (DS) is the most common chromosomal condition. Anatomical and functional variations in the upper and lower airways are component manifestations of the syndrome and increase the risk of various medical problems. The objective of this study was to determine the prevalence of otorhinolaryngological and respiratory diseases in a DS outpatient clinic over a 3-year period. Medical records data from 1207 patients were retrospectively reviewed. Newborn Hearing Screening was positive in 7.1% of patients. Brainstem auditory evoked potential was performed in 1101 children and showed a hearing loss of 19.8% in the first year. It was positive in 21% of 1021 exams. Audiometry was altered in 64 of 994 exams (6.4%), showing a conductive loss in 90%. Adenotonsillectomy was performed in 308 (25.5%) patients, and 169 (14.0%) required serous otitis ventilation tubes. Asthma was observed in 140 (11.6%) patients, and allergic rhinitis in 544 (56.6%). There were hospitalizations for invasive infection in 480 (39.8%) children, and two (0.2%) patients had severe septicemia from pulmonary focus. Five (0.4%) infants had laryngotracheomalacia, and one patient had anomalous right tracheal bronchus. Recognizing the prevalence of respiratory and otorhinolaryngological disorders in patients with DS allows the promotion of optimal follow-up and early treatment, preventing the development of sequelae.

Virome of respiratory secretion from children with unknown etiological acute respiratory disease revealed recombinant human parechovirus and other significant viruses.

Using viral metagenomics, viral nucleic acid in 30 respiratory secretion samples collected from children with unknown etiological acute respiratory disease were investigated. Sequences showing similarity to human parainfluenza virus 1, anellovirus, bocavirus, coxsackievirus A4, human parechovirus (HPeV), and alphaflexivirus were recovered from these samples. Complete genomes of one anellovirus, one coxsackievirus A4, three parechoviruses were determined from these libraries. The anellovirus (MW267851) phylogenetically clustered with an unpublished anellovirus (MK212032) from respiratory sample of a Vietnamese patient, forming a separate branch neighboring to strains within the genus Betatorquevirus. The genome of coxsackievirus A4 (MW267852) shares the highest sequence identity of 96.4% to a coxsackievirus A4 (MN964079) which was identified in clinical samples from children with Hand, Foot, and Mouth Disease (HFMD). Two (MW267853 and MW267854) of the three parechoviruses belong to HPeV-1 and the other one (MW267855) belongs to HPeV-6. Recombination analysis indicated that an HPeV-1 (MW267854) identified in this study is a putative recombinant occurred between HPeV-1 and HPeV-3. Whether these viruses have association with specific respiratory disease calls for further investigation.