Yoga Effect on Quality-of-Life Study Among Patients with Idiopathic Pulmonary Fibrosis (YES-IPF)
Kadura, S.; Purkayastha, S.; Benditt, J.; Anand, A.; Collins, B.; De Quadros, M.; Hobson, M.; Biswas, M.; Ho, L.; Spino, C.; Raghu, G.
Show abstract
RationalePatients with idiopathic pulmonary fibrosis have poor health-related quality of life. ObjectiveDetermine whether a modified yoga program in patients with idiopathic pulmonary fibrosis improves quality of life compared to usual care. MethodsRandomized controlled, non-blinded, pilot clinical trial lasting 12 weeks with 2 arms involving 63 adults with idiopathic pulmonary fibrosis. The yoga program-arm consisted of interventions such as seated postures, breathing and meditation exercises designed by authors for idiopathic pulmonary fibrosis patients. The control arm continued with usual standard of care. Analysis of covariance was performed; no multiplicity adjustments were made on account of this being a pilot study. MeasurementsThe primary outcomes were week-12 scores in seven patient-reported instruments, each with sub-domains, totaling 21 outcomes. Results60 of the 63 participants (32 randomized to yoga; 31 receiving standard of care) completed the study (one death in each arm and one withdrawal in yoga group). Analysis of covariance for week-12 scores, adjusting for baseline scores and confounders, revealed significant treatment effects favoring yoga in the L-IPF cough domain (-9.29 points, 95% CI -18.37 to -0.20; p=0.045), in the L-IPF total score (-7.11, 95% CI -13.15 to -1.06; p=0.022), and in the R-scale-PF cough domain (-1.18, 95% CI - 2.27 to -0.10; p=0.034) in the study population. ConclusionPatients with idiopathic pulmonary fibrosis participating in a yoga program demonstrated significant improvement in quality of life assessed by the cough and total scores of L-IPF and the cough score of R-scale-PF than those receiving usual care. SummaryWe examine if the implementation of a modified yoga program improves patient-reported outcomes in patients with idiopathic pulmonary fibrosis. Our study reveals significant post-yoga improvements in the yoga group compared to the control group across different patient-reported outcomes. Such outcomes are meaningful endpoints in patients with idiopathic pulmonary fibrosis and serve as a critical endpoint in related clinical trials.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Pulmonary Fibrosis after COVID-19 is Associated with Severity of Illness and Blood Leukocyte Telomere Length 92%
- Post-viral parenchymal lung disease following COVID-19 and viral pneumonitis hospitalisation: A systematic review and meta-analysis 92%
- Optimised oxygenation improves functional capacity during daily activities in patients with COPD on long-term oxygen therapy – a randomised crossover trial 91%
Similar papers in this journal
- Rethinking Blood Eosinophils for Assessing ICS Response in COPD: A Post-Hoc Analysis from FLAME 92%
- Effect of Ventilator Mode on Ventilator-Free Days in Critically Ill Adults: A Randomized Trial 91%
- Sotatercept is Associated with Improved Lung Function in Sarcoidosis-Associated Pulmonary Hypertension 90%
Similar papers in this journal
Similar papers in this journal
- Three month FVC change: a trial endpoint for IPF based on individual participant data meta-analysis 94%
- Domiciliary high-flow nasal cannula oxygen therapy for stable hypercapnic COPD patients: a prospective, multicenter, open-label, randomized controlled trial 93%
- Spirometric classifications of COPD severity as predictive markers for clinical outcomes: the HUNT Study 90%
Similar papers in this journal
- Virtual reality exercise to help COVID patients with refractory breathlessness 91%
- COPD in the time of COVID-19: An analysis of acute exacerbations and reported behavioural changes in patients with COPD 91%
- Development and validation of a parent proxy bronchiectasis child quality of life instrument: The BC-QoL 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.