Back

Efficacy of Pulmoary exercise administered in Supine, 45 degrees, or 90 degrees long sitting position on pulmonary parameters of patients with COPD: A Study Protocol.

Awolola, E. O.; Maharaj, S. S.; Ojo, O. T.; Adeyeye, O. O.

2022-01-31 respiratory medicine
10.1101/2022.01.30.22270106 medRxiv
Show abstract

BackgroundPulmonary rehabilitation is a program commonly structured for the rehabilitation of chronic lung diseases like COPD, chronic bronchitis, and emphysema. It aims to increase the patients quality of life by decreasing the symptoms frequently experienced from respiratory diseases. MethodsForty-two (42) patients aged 40 and above with Chronic Obstructive Pulmonary Disorders will be assessed for eligibility for the study. The study design will be a double-blinded, randomized control trial with three intervention groups and three parallel placebo control groups. ACBT, Autogenic drainage, and Reciprocal pulley exercise will be administered as an intervention in various body positions for 5 minutes, respectively. Ten continuous outcome variables at a different point with a minimum repeated measurement of six per subject will be utilized as an outcome measure. Baseline Pulmonary Function Test (PFT) will be assessed on entry into the study and after every procedure. MRC breathlessness scale, six minutes walk (6MWT) test, and CAT assessment test will be assessed at every two (2) weeks of the study. Data will be analyzed using descriptive and inferential statistics of repeated ANOVA; P<0.05. DiscussionThe study outcome will determine pulmonary rehabilitations efficacy in various body positions on selected pulmonary parameters of COPD patients and identify the most productive approach among upper limb exercises, autogenic drainage, or ACBT in different fundamental body position Trial Registrationwww.pactr.org: PACTR202005890624077

Matching journals

The top 2 journals account for 50% of the predicted probability mass.

50% of probability mass above

"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.