Maximal respiratory pressures: Measurements at functional residual capacity in individuals with different health conditions using a digital manometer.

BACKGROUND: Measuring maximal respiratory pressure is a widely used method of investigating the strength of inspiratory and expiratory muscles. OBJECTIVES: To compare inspiratory pressures obtained at functional residual capacity (FRC) with measures at residual volume (RV), and expiratory pressures obtained at FRC with measures at total lung capacity (TLC) in individuals with different health conditions: post-COVID-19, COPD, idiopathic pulmonary fibrosis (IPF), heart failure (CHF), and stroke; and to compare the mean differences between measurements at FRC and RV/TLC among the groups. METHODS: Inspiratory and expiratory pressures were obtained randomly at different lung volumes. Mixed factorial analysis of covariance with repeated measures was used to compare measurements at different lung volumes within and among groups. RESULTS: Seventy-five individuals were included in the final analyses (15 individuals with each health condition). Maximal inspiratory pressures at FRC were lower than RV [mean difference (95% CI): 11.3 (5.8, 16.8); 8.4 (2.3, 14.5); 11.1 (5.5, 16.7); 12.8 (7.1, 18.4); 8.0 (2.6, 13.4) for COVID-19, COPD, IPF, CHF, and stroke, respectively] and maximal expiratory pressures at FRC were lower than TLC [mean difference (95% CI): 51.9 (37.4, 55.5); 60.9 (44.2, 77.7); 62.9 (48.1, 77.8); 58.0 (43.9, 73.8); 57.2 (42.9, 71.6) for COVID-19, COPD, IPF, CHF, and stroke, respectively]. All mean differences were similar among groups. CONCLUSION: Although inspiratory and expiratory pressures at FRC were lower than measures obtained at RV/TLC for the five groups of health conditions, the mean differences between measurements at different lung volumes were similar among groups, which raises the discussion about the influence of the viscoelastic properties of the lungs on maximal respiratory pressure.

PET/CT and inflammatory mediators in systemic sclerosis-associated interstitial lung disease.

OBJECTIVE: To investigate the correlation of HRCT findings with pulmonary metabolic activity in the corresponding regions using 18F-FDG PET/CT and inflammatory markers in patients with systemic sclerosis (SSc)-associated interstitial lung disease (ILD). METHODS: This was a cross-sectional study involving 23 adult patients with SSc-associated ILD without other connective tissue diseases. The study also involved 18F-FDG PET/CT, HRCT, determination of serum chemokine levels, clinical data, and pulmonary function testing. RESULTS: In this cohort of patients with long-term disease (disease duration, 11.8 ± 8.7 years), a nonspecific interstitial pneumonia pattern was found in 19 (82.6%). Honeycombing areas had higher median standardized uptake values (1.95; p = 0.85). Serum levels of soluble tumor necrosis factor receptor 1, soluble tumor necrosis factor receptor 2, C-C motif chemokine ligand 2 (CCL2), and C-X-C motif chemokine ligand 10 were higher in SSc patients than in controls. Serum levels of CCL2-a marker of fibroblast activity-were correlated with pure ground-glass opacity (GGO) areas on HRCT scans (p = 0.007). 18F-FDG PET/CT showed significant metabolic activity for all HRCT patterns. The correlation between serum CCL2 levels and GGO on HRCT scans suggests a central role of fibroblasts in these areas, adding new information towards the understanding of the mechanisms surrounding cellular and molecular elements and their expression on HRCT scans in patients with SSc-associated ILD. CONCLUSIONS: 18F-FDG PET/CT appears to be unable to differentiate the intensity of metabolic activity across HRCT patterns in chronic SSc patients. The association between CCL2 and GGO might be related to fibroblast activity in these areas; however, upregulated CCL2 expression in the lung tissue of SSc patients should be investigated in order to gain a better understanding of this association.

Predicting Pulmonary Function From the Analysis of Voice: A Machine Learning Approach.

INTRODUCTION: To self-monitor asthma symptoms, existing methods (e.g. peak flow metre, smart spirometer) require special equipment and are not always used by the patients. Voice recording has the potential to generate surrogate measures of lung function and this study aims to apply machine learning approaches to predict lung function and severity of abnormal lung function from recorded voice for asthma patients. METHODS: A threshold-based mechanism was designed to separate speech and breathing from 323 recordings. Features extracted from these were combined with biological factors to predict lung function. Three predictive models were developed using Random Forest (RF), Support Vector Machine (SVM), and linear regression algorithms: (a) regression models to predict lung function, (b) multi-class classification models to predict severity of lung function abnormality, and (c) binary classification models to predict lung function abnormality. Training and test samples were separated (70%:30%, using balanced portioning), features were normalised, 10-fold cross-validation was used and model performances were evaluated on the test samples. RESULTS: The RF-based regression model performed better with the lowest root mean square error of 10·86. To predict severity of lung function impairment, the SVM-based model performed best in multi-class classification (accuracy = 73.20%), whereas the RF-based model performed best in binary classification models for predicting abnormal lung function (accuracy = 85%). CONCLUSION: Our machine learning approaches can predict lung function, from recorded voice files, better than published approaches. This technique could be used to develop future telehealth solutions including smartphone-based applications which have potential to aid decision making and self-monitoring in asthma.

PET/CT and inflammatory mediators in systemic sclerosis-associated interstitial lung disease / PET/TC e mediadores inflamatórios na doença pulmonar intersticial associada à esclerose sistêmica

ABSTRACT Objective: To investigate the correlation of HRCT findings with pulmonary metabolic activity in the corresponding regions using 18F-FDG PET/CT and inflammatory markers in patients with systemic sclerosis (SSc)-associated interstitial lung disease (ILD). Methods: This was a cross-sectional study involving 23 adult patients with SSc-associated ILD without other connective tissue diseases. The study also involved 18F-FDG PET/CT, HRCT, determination of serum chemokine levels, clinical data, and pulmonary function testing. Results: In this cohort of patients with long-term disease (disease duration, 11.8 ± 8.7 years), a nonspecific interstitial pneumonia pattern was found in 19 (82.6%). Honeycombing areas had higher median standardized uptake values (1.95; p = 0.85). Serum levels of soluble tumor necrosis factor receptor 1, soluble tumor necrosis factor receptor 2, C-C motif chemokine ligand 2 (CCL2), and C-X-C motif chemokine ligand 10 were higher in SSc patients than in controls. Serum levels of CCL2-a marker of fibroblast activity-were correlated with pure ground-glass opacity (GGO) areas on HRCT scans (p = 0.007). 18F-FDG PET/CT showed significant metabolic activity for all HRCT patterns. The correlation between serum CCL2 levels and GGO on HRCT scans suggests a central role of fibroblasts in these areas, adding new information towards the understanding of the mechanisms surrounding cellular and molecular elements and their expression on HRCT scans in patients with SSc-associated ILD. Conclusions: 18F-FDG PET/CT appears to be unable to differentiate the intensity of metabolic activity across HRCT patterns in chronic SSc patients. The association between CCL2 and GGO might be related to fibroblast activity in these areas; however, upregulated CCL2 expression in the lung tissue of SSc patients should be investigated in order to gain a better understanding of this association.

RESUMO Objetivo: Investigar a correlação entre achados de TCAR e a atividade metabólica pulmonar nas regiões correspondentes por meio de PET/TC com 18F-FDG e marcadores inflamatórios em pacientes com doença pulmonar intersticial (DPI) associada à esclerose sistêmica (ES). Métodos: Estudo transversal envolvendo 23 pacientes adultos com DPI associada à ES sem outras doenças do tecido conjuntivo. O estudo também envolveu PET/TC com 18F-FDG, TCAR, dosagem sérica de quimiocinas, dados clínicos e testes de função pulmonar. Resultados: Nessa coorte de pacientes com doença de longa duração (11,8 ± 8,7 anos), 19 (82,6%) apresentaram o padrão de pneumonia intersticial não específica. A mediana dos valores padronizados de captação foi maior nas áreas de faveolamento (1,95; p = 0,85). Os níveis séricos de soluble tumor necrosis factor receptor 1, soluble tumor necrosis factor receptor 2, C-C motif chemokine ligand 2 (CCL2) e C-X-C motif chemokine ligand 10 foram maiores nos pacientes com ES que nos controles. Os níveis séricos de CCL2 - um marcador de atividade fibroblástica - correlacionaram-se com áreas de opacidade em vidro fosco (OVF) pura na TCAR (p = 0,007). A PET/TC com 18F-FDG mostrou atividade metabólica significativa para todos os padrões de TCAR. A correlação entre níveis séricos de CCL2 e OVF na TCAR sugere que os fibroblastos desempenham um papel fundamental nessas áreas, acrescentando novas informações para a compreensão dos mecanismos que envolvem elementos celulares e moleculares e sua expressão na TCAR em pacientes com DPI associada à ES. Conclusões: A PET/TC com 18F-FDG aparentemente não consegue diferenciar a intensidade da atividade metabólica nos diferentes padrões de TCAR em pacientes com ES crônica. A associação entre CCL2 e OVF pode estar relacionada à atividade fibroblástica nessas áreas; entretanto, a expressão suprarregulada de CCL2 no tecido pulmonar de pacientes com ES deve ser investigada para que se compreenda melhor essa associação.

Exercise Limitation in Children and Adolescents With Severe Refractory Asthma: A Lack of Asthma Control?

BACKGROUND: Patients with severe refractory asthma (SRA), even when using high doses of multiple controller medications in a regular and appropriate way, can have persistent complaints of exercise limitation. METHODS: This was a cross-sectional study involving patients with SRA (treated with ≥ 800 µg of budesonide or equivalent, with ≥ 80% adherence, appropriate inhaler technique, and comorbidities treated), who presented no signs of a lack of asthma control other than exercise limitation. We also evaluated healthy controls, matched to the patients for sex, age, and body mass index. All participants underwent cardiopulmonary exercise testing (CPET) on a cycle ergometer, maximum exertion being defined as ≥ 85% of the predicted heart rate, with a respiratory exchange ratio ≥ 1.0 for children and ≥ 1.1 for adolescents. Physical deconditioning was defined as oxygen uptake (VO2) < 80% of predicted at peak exercise, without cardiac impairment or ventilatory limitation. Exercise-induced bronchoconstriction (EIB) was defined as a forced expiratory volume in one second ≥ 10% lower than the baseline value at 5, 10, 20, and 30 minutes after CPET. RESULTS: We evaluated 20 patients with SRA and 19 controls. In the sample as a whole, the mean age was 12.9 ± 0.4 years. The CPET was considered maximal in all participants. In terms of the peak VO2 (VO2 peak), there was no significant difference between the patients and controls, (P = 0.10). Among the patients, we observed isolated EIB in 30%, isolated physical deconditioning in 25%, physical deconditioning accompanied by EIB in 25%, and exercise-induced symptoms not supported by the CPET data in 15%. CONCLUSION AND CLINICAL RELEVANCE: Physical deconditioning, alone or accompanied by EIB, was the determining factor in reducing exercise tolerance in patients with SRA and was not therefore found to be associated with a lack of asthma control.

Association between contextual and clinical factors and disability in people with chronic obstructive pulmonary disease.

Background: Chronic obstructive pulmonary disease (COPD) develops as a multifaceted and complex disorder, with clinical and functional repercussions. Objective: To investigate the association among contextual factors (personal and environmental) and clinical features and the disability of COPD patients, with emphasis on activity and social participation. Methods: A cross-sectional study with stable COPD participants (n = 47) was conducted to assess personal and clinical characteristics, activity of daily living using the London Chest Activity of Daily Living scale (LCADL), disability by the World Health Organization Disability Assessment Schedule 2.0 (WHODAS), and environmental factors by the Craig Hospital Inventory of Environmental Factors (CHIEF). Statistical analysis was performed by the multivariate method. Results: In the LCADL predictive analysis, the variables forced expiratory volume in 1 second (FEV1), dyspnea levels 3-4 by the modified Medical Research Council scale (mMRC), and active level of regular physical activity were included in the final model (adjusted R 2 = 0.523). In addition, WHODAS was influenced by CHIEF physical structure score and mMRC 1-2 and mMRC 3-4 grades (adjusted R 2 = 0.500). Conclusions: Disability is a complex in COPD patients and encompasses a prominent role of dyspnea levels in the prediction of activity and participation. Multivariate models presented clinical and contextual factors as functional predictors that included the physical structure of the environment in the determination of social participation.