Effect of triiodothyronine-induced thyrotoxicosis on airway hyperresponsiveness

1991 ◽  
Vol 71 (2) ◽  
pp. 438-444 ◽  
Author(s):  
H. M. Hollingsworth ◽  
M. R. Pratter ◽  
J. M. Dubois ◽  
L. E. Braverman ◽  
R. S. Irwin
Keyword(s):  
Lung Function ◽  
Pulmonary Function ◽  
Exercise Capacity ◽  
Controlled Trial ◽  
Pulmonary Function Tests ◽  
Airway Responsiveness ◽  
Mild Asthma ◽  
Thyroid Function Tests ◽  
Double Blind ◽  
Function Tests

To determine whether thyrotoxicosis has an effect on the asthmatic state in subjects with mild asthma, airway responsiveness, lung function, and exercise capacity were measured in a randomized double-blind placebo-controlled trial before and after liothyronine (triiodothyronine, T3)-induced thyrotoxicosis. Baseline evaluation of 15 subjects with mild asthma included clinical evaluation, thyroid and routine pulmonary function tests, airway responsiveness assessment by methacholine inhalation challenge, and a symptom-limited maximal exercise test. For all subjects, the initial testing revealed that the dose of methacholine which provoked a 20% fall in forced expiratory volume in 1s (PD20) was in a range consistent with symptomatic asthma. There was no significant change in pulmonary function tests, airway reactivity (PD20), or exercise capacity in either the placebo or the T3-treated groups. Thyroid function tests confirmed mild sustained thyrotoxicosis in the T3-treated groups. We conclude that mild T3-induced thyrotoxicosis of 4-wk duration had no effect on lung function, airway responsiveness, or exercise capacity in subjects with mild asthma.

Oxidative Stress in Smokers Supplemented with Vitamin C

1999 ◽  
Vol 69 (1) ◽  
pp. 45-51 ◽  
Author(s):  
Aghdassi ◽  
Royall ◽  
Allard
Keyword(s):  
Lipid Peroxidation ◽  
Vitamin C ◽  
Pulmonary Function ◽  
Controlled Trial ◽  
Pulmonary Function Tests ◽  
Plasma Vitamin ◽  
Double Blind ◽  
Function Tests ◽  
Vitamin C Supplementation ◽  
Heavy Smokers

The ability of vitamin C supplement to influence lipid peroxidation and pulmonary function tests in healthy smokers was investigated. In this randomized double blind controlled trial, 56 smokers (S) received either 500 mg of vitamin C (C) or placebo (P) daily for 4 weeks. All completed the trial. Both groups were comparable and the number of cigarettes smoked were C: 14.2 ± 1.8 and P: 18.3 ± 2.0 pack-years. Plasma vitamin C concentrations increased significantly (p < 0.005) only in the group supplemented with vitamin C. Lipid peroxidation measured by breath pentane output (BPO) (C: 7.5± 1.4 vs P: 7.0 ± 1.3 pmol.kg–1.min–1) and plasma HPLC-separated malondialdehyde (MDA) (C: 0.58 ± 0.05 vs P: 0.47 ± 0.05 nmol.ml–1) were not significantly different between the 2 groups at baseline and did not change after four weeks of vitamin C supplementation (BPO: C: 5.3 ± 0.9 vs P: 5.5 ± 0.9 pmol.kg–1.min–1; HPLC-MDA: C: 0.50 ± 0.07 vs P: 0.42 ± 0.07 nmol.ml–1). No changes were detected in pulmonary function tests even in heavy smokers. Therefore, 4 week supplementation with 500 mg of vitamin C did not change lipid peroxidation indices and had no effect on pulmonary function tests.

scholarly journals Predicting Pulmonary Function Testing from Quantified Computed Tomography Using Machine Learning Algorithms in Patients with COPD

Diagnostics ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 33 ◽  
Author(s):  
Joshua Gawlitza ◽  
Timo Sturm ◽  
Kai Spohrer ◽  
Thomas Henzler ◽  
Ibrahim Akin ◽  
...  
Keyword(s):  
Machine Learning ◽  
Computed Tomography ◽  
Lung Function ◽  
Pulmonary Function ◽  
Polynomial Regression ◽  
Pulmonary Function Tests ◽  
Quantitative Computed Tomography ◽  
Machine Learning Algorithms ◽  
Gradient Boosting ◽  
Function Tests

Introduction: Quantitative computed tomography (qCT) is an emergent technique for diagnostics and research in patients with chronic obstructive pulmonary disease (COPD). qCT parameters demonstrate a correlation with pulmonary function tests and symptoms. However, qCT only provides anatomical, not functional, information. We evaluated five distinct, partial-machine learning-based mathematical models to predict lung function parameters from qCT values in comparison with pulmonary function tests. Methods: 75 patients with diagnosed COPD underwent body plethysmography and a dose-optimized qCT examination on a third-generation, dual-source CT with inspiration and expiration. Delta values (inspiration—expiration) were calculated afterwards. Four parameters were quantified: mean lung density, lung volume low-attenuated volume, and full width at half maximum. Five models were evaluated for best prediction: average prediction, median prediction, k-nearest neighbours (kNN), gradient boosting, and multilayer perceptron. Results: The lowest mean relative error (MRE) was calculated for the kNN model with 16%. Similar low MREs were found for polynomial regression as well as gradient boosting-based prediction. Other models led to higher MREs and thereby worse predictive performance. Beyond the sole MRE, distinct differences in prediction performance, dependent on the initial dataset (expiration, inspiration, delta), were found. Conclusion: Different, partially machine learning-based models allow the prediction of lung function values from static qCT parameters within a reasonable margin of error. Therefore, qCT parameters may contain more information than we currently utilize and can potentially augment standard functional lung testing.

scholarly journals Integrative genomic analysis in African American children with asthma finds 3 novel loci associated with lung function

2020 ◽  
Author(s):  
Pagé C. Goddard ◽  
Kevin L. Keys ◽  
Angel C.Y. Mak ◽  
Eunice Yujung Lee ◽  
Amy K. Liu ◽  
...  
Keyword(s):  
Lung Function ◽  
Pulmonary Function ◽  
Genome Wide Association Study ◽  
Mononuclear Cells ◽  
Pulmonary Function Tests ◽  
Genomic Analysis ◽  
Lung Fibroblasts ◽  
Admixture Mapping ◽  
Function Tests ◽  
Genes And Environment

AbstractBronchodilator drugs are commonly prescribed for treatment and management of obstructive lung function present with diseases such as asthma. Administration of bronchodilator medication can partially or fully restore lung function as measured by pulmonary function tests. The genetics of baseline lung function measures taken prior to bronchodilator medication has been extensively studied, and the genetics of the bronchodilator response itself has received some attention. However, few studies have focused on the genetics of post-bronchodilator lung function. To address this gap, we analyzed lung function phenotypes in 1,103 subjects from the Study of African Americans, Asthma, Genes, and Environment (SAGE), a pediatric asthma case-control cohort, using an integrative genomic analysis approach that combined genotype, locus-specific genetic ancestry, and functional annotation information. We integrated genome-wide association study (GWAS) results with an admixture mapping scan of three pulmonary function tests (FEV1, FVC, and FEV1/FVC) taken before and after albuterol bronchodilator administration on the same subjects, yielding six traits. We identified 18 GWAS loci, and 5 additional loci from admixture mapping, spanning several known and novel lung function candidate genes. Most loci identified via admixture mapping exhibited wide variation in minor allele frequency across genotyped global populations. Functional fine-mapping revealed an enrichment of epigenetic annotations from peripheral blood mononuclear cells, fetal lung tissue, and lung fibroblasts. Our results point to three novel potential genetic drivers of pre- and post-bronchodilator lung function: ADAMTS1, RAD54B, and EGLN3.

Association between body composition and pulmonary function tests among health care workers in Iran

2021 ◽  
Vol 17 ◽  
Author(s):  
Hamidreza Pouragha ◽  
Hosein Kazemi ◽  
Gholamreza Pouryaghoub ◽  
Ramin Mehrdad
Keyword(s):  
Body Composition ◽  
Lung Function ◽  
Pulmonary Function ◽  
Visceral Fat ◽  
Pulmonary Function Tests ◽  
The Body ◽  
Fat Free Mass ◽  
The Other ◽  
Cross Sectional ◽  
Function Tests

Background: Why is bodyweight not a predictor of lung function, while height, sex, race, and age are predictors of lung capacity and function? In this study, we want to investigate the association between body composition and pulmonary function. And, as much as possible, answer the question of why bodyweight is not predictive of lung function. Methods: This cross-sectional study was performed among 2967 employees of Tehran University of Medical Sciences (TUMS) who participated in the TUMS Employees Cohort (TEC) study. The body composition of the participants was measured using the Bioelectrical Impedance Analysis (BIA) method. Anthropometric variables were also measured as a confounder. The pulmonary function of participants was assessed by a forced spirometry test. Results: The correlation of BIA values including fat-free mass and total body water with a pulmonary function such as FEV1, FVC, and FEF25-75 is higher than most anthropometric values such as weight, wrist circumference, and the waist to hip ratio. Also, in regression analysis, age and sex had an association with pulmonary function, but the weight did not show a significant relationship. On the other hand, fat-free mass and visceral fat were significantly associated with pulmonary function. One is direct and the other is inverse. Conclusion: We observed a negative association between visceral fat and pulmonary function tests and a direct association between Fat-free mass pulmonary function tests (FEV1 and FVC) adjusted for age, sex, and anthropometric indices.

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