BackgroundSeveral classifications of adult asthma patients using cluster analyses based on clinical and demographic information has resulted in clinical phenotypic clusters that do not address molecular mechanisms. Volatile organic compounds (VOC) in exhaled air are released during inflammation in response to oxidative stress as a result of activated leukocytes. VOC profiles in exhaled air could distinguish between asthma patients and healthy subjects. In this study, we aimed to classify new asthma endotypes by combining inflammatory mechanisms investigated by VOC profiles in exhaled air and clinical information of asthma patients.MethodsBreath samples were analyzed for VOC profiles by gas chromatography–mass spectrometry from asthma patients (n = 195) and healthy controls (n = 40). A total of 945 determined compounds were subjected to discriminant analysis to find those that could discriminate healthy from asthmatic subjects. 2-step cluster analysis based on clinical information and VOCs in exhaled air were used to form asthma endotypes.ResultsWe identified 16 VOCs, which could distinguish between healthy and asthma subjects with a sensitivity of 100% and a specificity of 91.1%. Cluster analysis based on VOCs in exhaled air and the clinical parameters FEV1, FEV1 change after 3 weeks of hospitalization, allergic sensitization, Junipers symptoms score and asthma medications resulted in the formation of 7 different asthma endotype clusters. We identified asthma clusters with different VOC profiles but similar clinical characteristics and endotypes with similar VOC profiles, but distinct clinical characteristics.ConclusionThis study demonstrates that both, clinical presentation of asthma and inflammatory mechanisms in the airways should be considered for classification of asthma subtypes.Electronic supplementary materialThe online version of this article (doi:10.1186/s12931-014-0136-8) contains supplementary material, which is available to authorized users.
Objective The objective of this study was to develop an international expert consensus on priority otolaryngology–head and neck surgery conditions and procedures globally for which national health systems should be capable of caring. Study Design The Delphi method was employed via a multiround online survey administered to attending otolaryngologists in an international research collaborative of >180 otolaryngologists in >40 countries. Setting International online survey. Methods In round 1, participants listed the top 15 otolaryngologic conditions and top 15 otolaryngology procedures for their World Bank regions. In round 2, participants ranked round 1 responses in order of global importance on a 5-point Likert scale. In round 3, participants reranked conditions and procedures that did not achieve consensus, defined as 50% of the round 2 Likert responses being ranked as “important” or “very important.” Descriptive statistics were calculated for each round. Results The survey was distributed to 53 experts globally, with a response rate of 38% (n = 20). Fifty percent (n = 10) of participants were from low- and middle-income countries, with at least 1 participant from each World Bank region. Ten consensus surgical procedures and 10 consensus conditions were identified. Conclusion This study identified a list of priority otolaryngology–head and neck surgery conditions and surgical procedures for which all national health systems around the world should be capable of managing. Acute and infectious conditions with preventative and emergent procedures were highlighted. These findings can direct future research and guide international collaborations.
BackgroundAsthma is a heterogeneous disease characterized by different clinical phenotypes and the involvement of multiple inflammatory pathways. During airway inflammation, many cytokines and chemokines are released and some are detectable in the sera.ObjectiveSerum chemokines and cytokines, involved in airway inflammation in asthma patients, were investigated.MethodsA total of 191 asthma patients were classified by hierarchical cluster analysis, including the following parameters: forced expiratory volume in 1 second (FEV1), eosinophil cationic protein (ECP) serum levels, blood eosinophils, Junipers asthma symptom score, and the change in FEV1, ECP serum levels, and blood eosinophils after 3 weeks of asthma therapy. Serum proteins were measured by multiplex analysis. Receiver operating characteristic (ROC) curves were used to evaluate the validity of serum proteins for discriminating between asthma clusters.ResultsClassification of asthma patients identified one cluster with high ECP serum levels, increased blood eosinophils, low FEV1 values, and good FEV1 improvement in response to asthma therapy (n=60) and one cluster with low ECP serum levels, low numbers of blood eosinophils, higher FEV1 values, and no FEV1 improvement in response to asthma therapy (n=131). Serum interleukin (IL)-8, eotaxin, vascular endothelial growth factor (VEGF), cutaneous T-cell-attracting chemokine (CTACK), growth-related oncogene (GRO)-α, and hepatocyte growth factor (HGF) were significantly different between the two clusters of asthma patients. ROC analysis for serum proteins calculated a sensitivity of 55.9% and specificity of 75.8% for discriminating between them.ConclusionSerum cytokine and chemokine levels might be predictors for the severity of asthmatic inflammation, asthma control, and response to therapy, and therefore might be useful for treatment optimization.
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