Cognitive Muscular Therapy for Patients With Long-COVID and Breathing Pattern Disorder (COMLOC)

University of Salford

Status: Active, not recruiting

Conditions: Respiratory Disease; Long COVID

Treatments: Behavioral: Breathing visualisation; Behavioral: Cognitive Muscular Therapy

Study type: Interventional

Funder types: Other

Identifiers

NCT06503913

0186

Details and patient eligibility

About

The aim of the study is to test a treatment known as "Cognitive Muscular Therapy (CMT)" for reducing breathlessness and improving autonomic function in patients with long-COVID.

Full description

A key symptom of long-COVID is dysfunctional breathing, characterised by an alteration in the muscular and mechanical control of breathing, such as altered movement/coordination of diaphragm and ribs. Long-COVID patients also experience symptoms such as dizziness and fatigue, which have been linked to dysautonomia (dysfunction of the nervous system controlling automatic body functions). Importantly, dysautonomia is connected to alterations in breathing mechanics. Specifically, rapid breathing, high in the chest, is associated with increased activity in the fight-or-flight system and decreased activity in the rest-and-repair system. Given this link, interventions capable of improving breathing mechanics could alleviate many long-COVID symptoms. However, current breathing retraining methods lack visualisation of breathing mechanics and do not integrate a whole-body approach to improving postural control.

We have developed a clinical system which can visualise breathing mechanics in real-time, providing patients with a "window into their body". We propose to integrate this system within a new intervention, known as Cognitive Muscular Therapy (CMT). CMT integrates psychological informed physiotherapy with training to reduce overactivation of postural muscles which can interfere with the mechanics of breathing. We propose to test this combined intervention on 20 people with Long-COVD to understand if we can improve respiratory function and symptoms associated with dysautonomia. If successful, this pilot study could pave the way for large-scale studies in long-COVID

Enrollment: 20 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• Above 18 years old
• Experience moderate/severe breathlessness, quantified using the Modified COVID-19 Yorkshire Rehabilitation Scale (C19-YRSm) scale.
• Speak and understand English sufficiently to read the information sheet and sign the consent form
• Ability to stand without any assistive device for at least 20 minutes (to ensure sufficient capacity to complete the intervention)

Exclusion criteria

• Dementia or other major cognitive impairment
• BMI >32 (as increased subcutaneous fat prevents use of breathing measurement system)
• Current smoker or smoked regularly within last 6 months
• Any cardiorespiratory disease that requires medical intervention (except asthma management)
• Currently receiving physiotherapy-based treatment for LC or breathing pattern disorder
• Significant respiratory co-morbidity (e.g. COPD, uncontrolled Asthma)

Trial design

Primary purpose: Treatment

Allocation: N/A

Interventional model: Single Group Assignment

Masking: None (Open label)

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20 participants in 1 patient group

Treatment

Experimental group

Description:

Each participant will receive seven weekly sessions of Cognitive Muscular Therapy (CMT) + Breathing Visualisation at the University of Salford from an respiratory physiotherapist. This physiotherapist will have been trained to deliver the CMT intervention and will have at least three years' experience of working with patients with respiratory disorders. Each treatment session will last 45-60 mins. The CMT intervention comprises five components: Understanding long-COVID, general relaxation, postural deconstruction, contextual triggers and functional integration. Breathing Visualisation will be integrated into session 5, 6 and 7.

Treatment:

Behavioral: Cognitive Muscular Therapy

Behavioral: Breathing visualisation