NCT05303623

Radiological and Cardiopulmonary Evaluation of the Effect of Inspiratory Muscle Training on Diaphragmatic Function in Mechanically Ventilated Patients in the Intensive Care Unit

Istanbul Demiroglu Bilim University·ClinicalTrials.gov·otherRecruiting
View on ClinicalTrials.gov
Study focus
Drug/Device/Intervention
Conventional Physiotherapy
Study type
Interventional
Intervention type
other
Sponsor & location
Primary sponsor
Istanbul Demiroglu Bilim University
Location
Istanbul, Turkey
Timeline & enrollment
Phase
N/A
Start date
Sep 01, 2021
End date
Dec 30, 2022
Enrollment
30 participants
Primary outcome

Maximal inspiratory and expiratory pressure,Diaphragmatic B mode, M mode and Tissue Doppler Ultrasonographic Imagining,Respiratory Muscle Thickness,Physical Function Test (PFIT) battery,Medical Research Council(MRC) Strength Test,Acute Care Index of Function (ACIF)

Summary

Many patients who receive treatment in intensive care need mechanical ventilation support.
 Invasive mechanical ventilation is an application used in critically ill patients to provide
 pulmonary gas exchange and to relieve the respiratory muscles. Mechanical ventilation and
 long- term bed rest induced extremity muscle weakness is a common condition in patients
 hospitalized in the intensive care unit. Acquired muscle weakness in intensive care is
 associated with poor prognosis and high mortality At the same time, mechanical ventilation
 can lead to the development of respiratory muscle dystrophy and atrophy.
 
 Recently, a similar concern has arisen about the potential negative effects of mechanical
 ventilation on respiratory muscles. This condition is called ventilator-induced diaphragmatic
 dysfunction In patients with mechanical ventilation, dysfunction, muscle fiber type change
 and barotrauma are seen especially in the diaphragm, which is the primary inspiratory muscle.
 Diaphragmatic dysfunction may promote prolong of intubation, weaning difficulties and risk of
 increase reintubation in patients who are mechanically ventilated.
 
 The effect of inspiratory muscle training, which is applied in addition to conventional
 respiratory physiotherapy, on diaphragmatic dysfunction, on the weaning process and the long
 of stay in intensive care has not been fully elucidated, and a limited number of studies have
 been conducted on this subject It has been reported that in patients with prolonged
 mechanical ventilation, diaphragmatic peak contraction velocity, peak relaxation velocity,
 movement speed, velocity time integral are lower than healthy individuals and this is
 correlated with failure to wean from mechanical ventilation. We could not find any report and
 clinical trial in the literature evaluation the effect of conventional physiotherapy and
 additional inspiratory muscle training on diaphragmatic tissue movement velocity and
 diaphragm thickness using detailed radiological methods in intensive care patients dependent
 on mechanical ventilation. In this context, our not working has a unique value. Our study
 will contribute to elucidating the mechanisms that affect the weaning process from mechanical
 ventilation in intensive care patients. It is aimed to develop strategies that will shorten
 the long of stay in intensive care and total hospital stay with therapeutic approaches that
 enable patients to be extubated as early as possible.

ICD-10 classifications
Acute respiratory failureAcute renal failure with medullary necrosisAcute renal failureAcute renal failure, unspecifiedOther acute renal failure
Data source
Registry
ClinicalTrials.gov
Trial ID
NCT05303623
Type
Non-Device Trial
About this record

Access comprehensive clinical trial information for NCT05303623 through Pure Global AI's free database. This phase not specified trial is sponsored by Istanbul Demiroglu Bilim University and is currently Recruiting. The study focuses on Intensive Care Unit Acquired Weakness. Target enrollment is 30 participants.

This page provides complete trial specifications, intervention details, outcomes, and location information. Pure Global AI offers free access to ClinicalTrials.gov data, helping medical device and pharmaceutical companies navigate clinical research efficiently.