The diagnosis of asthma. Can physiological tests of small airways function help?

Computed tomography in severe asthma assessment: a systematic review

OBJECTIVE

Chest computed tomography (CT) is usually performed in patients with severe asthma (SA) to exclude concomitant conditions related to poor clinical control. Despite the growing evidence regarding the utility of CT in the characterization of morphological abnormalities and airway remodeling, its role in SA assessment is still largely unexplored. The aim of our systematic review was to evaluate published data investigating the role of chest CT in patients with SA.

DATA SOURCES

The systematic search was conducted on the Medline database through the Pubmed search engine.

STUDY SELECTIONS

A total of 53 studies has been included.

RESULTS

Quantitative CT (qCT) parameters generally differ between SA patients compared to mild to moderate asthmatic patients or healthy controls and are related to functional decline. CT parameters allow to identify image-based clusters reflecting remodeling patterns and/or air trapping features. The detection of mucus plugs is more frequent in severe eosinophilic asthma, and it is related to marked airway obstruction and ventilation defects. Benralizumab treatment appears to reduce or vanish mucus plugging. Most studies regarding CT and bronchial thermoplasty (BT) detect the usefulness of this investigation in predicting treatment response. Lastly, conflicting results surround the relation between chest CT and SA assessment in children due to also the scarcity of studies focusing on pediatric population.

CONCLUSIONS

The role of CT scans in SA is still debated. Most studies focus on the identification of CT-derived disease clusters while studies primarily evaluating the predicting role of CT scan to different biologics are lacking and could represent an interesting research area.

Fecal Microbiota Transplantation Alleviates Airway Inflammation in Asthmatic Rats by Increasing the Level of Short-Chain Fatty Acids in the Intestine

Asthma is a prevalent chronic inflammatory disorder of the respiratory tract that not only manifests with respiratory symptoms but also often involves intestinal flora disorders and gastrointestinal dysfunction. Recent studies have confirmed the close relationship between the gut and lungs, known as the "gut-lung axis" theory. Fecal microbiota transplantation (FMT), a method for restoring normal intestinal flora, has shown promise in treating common gastrointestinal diseases. The "gut-lung axis" theory suggests that FMT may have significant therapeutic potential for asthma. In this study, we established an Ovalbumin (OVA)-induced rat model of asthma to investigate the protective effect of FMT on airway inflammation and the restoration of intestinal short-chain fatty acids (SCFAs), aiming to explore its underlying mechanism. Rats in the Control group underwent fecal treatment via gavage (Control-FMT, C-FMT group), while rats in the Asthma group underwent fecal treatment via gavage after asthma induction (Asthma-FMT, A-FMT group). Following a two-week period of continuous intragastric administration, various measurements were conducted to assess pulmonary function, peripheral blood neutrophil, lymphocyte, and eosinophil content, lung tissue pathology, and collagen fiber deposition in the lungs. Additionally, neutrophil and eosinophil content in bronchoalveolar lavage fluid (BALF), expression levels of Interleukin-4 (IL-4), IL-5, IL-13, IL-17, IL-33, leukotrienes (LT), thymic stromal lymphopoietin (TSLP), prostaglandin D2 (PGD2) protein and mRNA in lung tissue, and SCFAs content in stool were evaluated. In the C-FMT group, lung function significantly improved, inflammatory cell content in peripheral blood and BALF decreased, lung tissue pathology and collagen fiber deposition significantly improved, the protein and mRNA levels of lung inflammatory factors IL-4, IL-5, IL-13, IL-17, IL-33, LT, TSLP, PGD2 were significantly decreased, and SCFAs such as acetate (C2), propionate (C3), butyrate (C4), isobutyric acid (I-C4), valeric acid (C5), and isovaleric acid (I-C5) content in stool significantly increased. However, the indexes in the A-FMT group did not show significant recovery, and the treatment effect on asthma symptoms in rats was inferior to that in the C-FMT group. Asthma induced intestinal flora disorders in rats, and FMT treatment improved the inflammatory response in asthmatic rat models and corrected their intestinal SCFAs disorders. Encouraging the recovery of intestinal SCFAs may play a significant role, and beneficial bacteria present in feces may improve asthma symptoms by promoting the remodeling of intestinal flora. This experiment provides further scientific evidence supporting the "gut-lung axis" theory.

Adjuvant alum regulates the eIF2a-GATA3 axis in CD4+ T cells to influence allergen immunotherapy

Allergen-specific immunotherapy (AIT) is an aetiology-targeting therapy for allergic diseases. The therapeutic mechanism of AIT is not fully understood yet. Endoplasmic reticulum stress is associated with the pathogenesis of allergic disorders. This study aims to elucidate the effects of AIT on suppressing allergic response through regulating endoplasmic reticulum stress. In this study, patients with perennial allergic rhinitis were recruited. AIT was conducted for the patients. An allergic rhinitis (AR) mouse model was established with mite extracts as allergens. We found that AIT modulated the endoplasmic reticulum stress status in peripheral CD4+ T cells in patients with allergic rhinitis. The intensity of endoplasmic reticulum stress associated the PERK (protein kinase RNA-like endoplasmic reticulum kinase)-eIF2a (eukaryotic translation initiation factor 2a) axis in CD4+ T cells was upregulated by AIT, which was closely associated with the improvement in allergic rhinitis response after AIT. eIF2a interacted with GATA3 to downregulate the IL4 gene transcription in CD4+ T cells. High doses of aluminium hydroxide (alum) in AIT vaccines enhanced the activity of XBP1 to suppress eIF2a in CD4+ T cells. AIT containing a low dose of alum effectively mitigated the experimental allergic rhinitis, while the AIT without alum or a high dose of alum exacerbated the experimental allergic rhinitis. In conclusion, the alum adjuvant in allergen vaccines can regulate the activity of eIF2a to regulate the expression of Th2 cytokines in CD4+ T cells. Manipulating the alum dose in AIT vaccines has the potential to enhance the therapeutic effects of AIT.

Diagnostic Potential of Oscillometry: A Population-based Approach

Rationale: Respiratory resistance (Rrs) and reactance (Xrs) as measured by oscillometry and their intrabreath changes have emerged as sensitive parameters for detecting early pathological impairments during tidal breathing. Objectives: This study evaluates the prevalence and association of abnormal oscillometry parameters with respiratory symptoms and respiratory diseases in a general adult population. Methods: A total of 7,560 subjects in the Austrian LEAD (Lung, hEart, sociAl, boDy) Study with oscillometry measurements (computed with the Resmon Pro FULL; Restech Srl) were included in this study. The presence of respiratory symptoms and doctor-diagnosed respiratory diseases was assessed using an interview-based questionnaire. Rrs and Xrs at 5 Hz, their inspiratory and expiratory components, the area above the Xrs curve, and the presence of tidal expiratory flow limitation were analyzed. Normality ranges for oscillometry parameters were defined. Measurements and Main Results: The overall prevalence of abnormal oscillometry parameters was 20%. The incidence of abnormal oscillometry increased in the presence of symptoms or diagnoses: 17% (16-18%) versus 27% (25-29%), P < 0.0001. All abnormal oscillometry parameters except Rrs at 5 Hz were significantly associated with respiratory symptoms/diseases. Significant associations were found, even in subjects with normal spirometry, with abnormal oscillometry incidence rates increasing by 6% (4-8%; P < 0.0001) in subjects with symptoms or diagnoses. Conclusions: Abnormal oscillometry parameters are present in one-fifth of this adult population and are significantly associated with respiratory symptoms and disease. Our findings underscore the potential of oscillometry as a tool for detecting and evaluating respiratory impairments, even in individuals with normal spirometry.

Construction of a Diagnostic Algorithm for Diagnosis of Adult Asthma Using Machine Learning with Random Forest and XGBoost

An evidence-based diagnostic algorithm for adult asthma is necessary for effective treatment and management. We present a diagnostic algorithm that utilizes a random forest (RF) and an optimized eXtreme Gradient Boosting (XGBoost) classifier to diagnose adult asthma as an auxiliary tool. Data were gathered from the medical records of 566 adult outpatients who visited Kindai University Hospital with complaints of nonspecific respiratory symptoms. Specialists made a thorough diagnosis of asthma based on symptoms, physical indicators, and objective testing, including airway hyperresponsiveness. We used two decision-tree classifiers to identify the diagnostic algorithms: RF and XGBoost. Bayesian optimization was used to optimize the hyperparameters of RF and XGBoost. Accuracy and area under the curve (AUC) were used as evaluation metrics. The XGBoost classifier outperformed the RF classifier with an accuracy of 81% and an AUC of 85%. A combination of symptom-physical signs and lung function tests was successfully used to construct a diagnostic algorithm on importance features for diagnosing adult asthma. These results indicate that the proposed model can be reliably used to construct diagnostic algorithms with selected features from objective tests in different settings.

Anatomical and histopathological approaches to asthma phenotyping

Asthma is typically characterized by variable respiratory symptoms and airflow limitation. Along with the pathophysiology and symptoms are immunological and inflammatory processes. The last decades research has revealed that the immunology of asthma is highly heterogeneous. This has clinical consequences and identification of immunological phenotypes is currently used to guide biological treatment. The focus of this review is on another dimension of asthma diversity, namely anatomical heterogeneity. Immunopathological alterations may go beyond the central airways to also involve the distal airways, the alveolar parenchyma, and pulmonary vessels. Also, extrapulmonary tissues are affected. The anatomical distribution of inflammation in asthma has remained relatively poorly discussed despite its potential implication on both clinical presentation and response to treatment. There is today evidence that a significant proportion of the asthma patients has small airway disease with type 2 immunity, eosinophilia and smooth muscle infiltration of mast cells. The small airways in asthma are also subjected to remodelling, constriction, and luminal plugging, events that are likely to contribute to the elevated distal airway resistance seen in some patients. In cases when the inflammation extends into the alveolar parenchyma alveolar FCER1-high mast cells, eosinophilia, type 2 immunity and activated alveolar macrophages, together with modest interstitial remodelling, create a complex immunopathological picture. Importantly, the distal lung inflammation in asthma can be pharmacologically targeted by use of inhalers with more distal drug deposition. Biological treatments, which are readily distributed to the distal lung, may also be beneficial in eligible patients with more severe and anatomically widespread disease.

Neutrophil-lymphocyte ratios in blood to distinguish children with asthma exacerbation from healthy subjects

OBJECTIVE

Airway inflammation is a prominent feature of asthma and may play an important role in disease pathophysiology. Despite the increasing incidence of asthma worldwide, reliable diagnostic biomarkers are lacking and widely lead to asthma misdiagnosis. Neutrophil-lymphocyte ratio (NLR) is a biomarker of systemic inflammation, in addition to NLR-alanine aminotransferase ratio (NAR) and NLR-albumin ratio (NBR). The aim of this study was to evaluate associations of NLR, NAR, and NBR with diagnosis of childhood asthma to determine if they can aid clinical childhood asthma diagnosis.

METHODS

This retrospective case-control study included 89 children with asthma and 53 healthy children from the Wuxi Children's Hospital affiliated with Nanjing Medical University. We applied various statistical tests to the dataset: Mann-Whitney U test to compare characteristics of the case and control groups; chi-squared test to compare categorical variables; Kruskal-Wallis test to compare statistical differences of asthma indicators among groups; receiver operating characteristic (ROC) curves to assess the diagnostic value of indices; and Spearman correlation analysis to evaluate relationships between NLR and lactate dehydrogenase, albumin, aspartate transaminase, and alanine transaminase levels.

RESULTS

Compared with controls, the asthma case group had significantly higher white blood cell (p < 0.01), neutrophil, lactate dehydrogenase, C-reactive protein, and NLR levels (p < 0.01) and significantly lower lymphocyte (p = 0.001), platelet (p = 0.039), and albumin levels (p = 0.04). We determined optimal cutoff levels for several metrics: 1.723 for NLR, with sensitivity of 0.73 and specificity of 0.906; 0.135 for NAR, with sensitivity of 0.685 and specificity of 0.887; and 0.045 for NBR, with sensitivity of 0.674 and specificity of 0.906. The areas under the curve (AUCs) were 0.824 for NLR, 0.788 for NAR, 0.818 for NBR, and 0.83 for the combination of NLR + NAR + NBR.

CONCLUSION

The combination of NLR, NAR, and NBR biomarkers distinguished asthmatic ones suffering from exacerbation of the condition from healthy children. Thus, our results indicate NLR + NAR + NBR could be used as a clinical biomarker for asthma in children.

Long-term variability of impulse oscillometry and spirometry in stable COPD and asthma

Background

While optimizing spirometry is a challenge for lung function labs, long-term variability if any between IOS (impulse oscillometry) parameters and spirometry is not clearly known in stable COPD (chronic obstructive pulmonary disease) and chronic asthma. The forced oscillation technique is increasingly employed in routine lung function testing. Our aim in this study was to determine the variability in oscillometric parameters between clinic visits over weeks or months in two patient groups during a period of clinical stability. Moreover, the research assessed relationships between IOS parameters long-term variability and COPD severity.

Methods

We used data from 73 patients with stable COPD and 119 patients with stable asthma at the Shanghai Pulmonary Hospital Affiliated to Tongji University. Patients were included if they had three or more clinic visits where spirometry and IOS were performed during a clinically stable period. Data recorded from the first three visits were used. The standard deviation (SDbv), the coefficient of variation (COV), intraclass correlation coefficient (ICC) and the coefficient of repeatability (COR) were calculated, Wilcoxon Mann–Whitney test was used for data that did not conform to normality of distributions, Kruskal Wallis test was used to compare with multiple groups, post hoc comparison was analyzed by Bonferroni, Spearman correlation coefficients for non-parametric data, the multiple regression analyses to determine the relationship between long-term variability and airflow obstruction.

Results

(1) The repeatability of IOS resistance parameters with ICC values > 0.8 was high in COPD and asthma. ICC values of IOS resistance parameters were higher than IOS reactance parameters; (2) the repeatability of spirometry parameters with ICC values < 0.8 was lower than IOS resistance parameters in different GOLD (the Global Initiative for Chronic Obstructive Lung Disease) stages, the higher the stage the worse the repeatability; (3) the severity of airflow obstruction was correlated with long-term variability of R5 (R at 5 Hz) (P < 0.05) in GOLD4, not with long-term variability of R20 (R at 20 Hz) (P > 0.05) and R5-R20 (P > 0.05).

Conclusion

IOS resistance parameters have good long-term repeatability in asthma and COPD. Additionally, repeatability of spirometry parameters is lower than IOS resistance parameters in different GOLD stages.