Photobiomodulation Therapy Combined With Static Magnetic Field in Patients With COVID-19

    Not Recruiting
  • participants needed
  • sponsor
    University of Nove de Julho
Updated on 3 February 2023
mechanical ventilation
respiratory distress
respiratory failure
coronavirus infection


Coronavirus disease 2019 (COVID-19) is a disease caused by a novel coronavirus called SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2). The most characteristic symptom of patients with COVID-19 is respiratory distress, leading to inability to sustain spontaneous breathing. In addition, patients with COVID-19 have dyspnea and respiratory muscle fatigue. Therefore, it is necessary to use strategies that minimize the impact of COVID-19 on the respiratory muscles, accelerating the ventilatory weaning process and optimizing the functional capacity of the involved muscles.

Over the past years, evidence has shown the effectivity of photobiomodulation therapy (PBMT) combined with static magnetic field (sMF) (PBMT/sMF) in delaying muscle fatigue, decrease in markers of inflammatory damage and oxidative stress of skeletal muscle. These effects result in an improvement in the functional capacity of the irradiated muscles by PBMT/sMF. However, do date, there is a lack of evidence regarding the effects of PBMT/sMF on the respiratory muscles.

Therefore, the irradiation of PBMT/sMF may result in improvement in the functional capacity of respiratory muscles in patients with COVID-19, accelerating the ventilatory weaning process of the patients intubated due to respiratory failure. In addition, the irradiation of PBMT/sMF may induce the increase of anti-inflammatory mediators' activity in patients with COVID-19.

Thus, the aim of this project is to investigate the effects of PBMT/sMF on respiratory muscles of patients admitted to the Intensive Care Unit (ICU) with COVID-19 using invasive mechanical ventilation.


To achieve the proposed objectives it will be performed a randomized, triple-blind, placebo-controlled trial, with patients admitted to the adult ICU with COVID-19 using invasive mechanical ventilation due to respiratory failure. The patients will be randomly allocated to two treatment groups: 1. Active PBMT/sMF (MR5 ACTIV PRO LaserShower) or Placebo PBMT/sMF (MR5 ACTIV PRO LaserShower). The patients will be treated by a blinded therapist, and the patients will be blinded to the treatment received.

Since there are no studies in this field, initially it will be randomized 30 patients (15 patients per group) to determine the final sample size for this study.

The patients randomly allocated to the two groups will be subjected to treatment once a day, during the ICU stay, until discharge or death.

All data will be collected by a blinded assessor. The investigators will analyze:

  1. Number of days hospitalized in the ICU until discharge or death.
  2. Survival rate: rate of how many people survived and were discharged and how many died.
  3. Muscular function of the diaphragm: the first assessment will be performed within 24 hours after the patient's intubation, the second 10 days after the first, and the third at the pre-discharge from the ICU.
  4. Blood tests: baseline (admission to the ICU), 10 days after the admission, and endpoint (discharge or death).
  5. Mechanical ventilation control parameters: baseline (admission to the ICU), 10 days after the admission, and endpoint (discharge or death).
  6. Arterial Blood Gas Analysis: baseline (admission to the ICU), 10 days after the admission, and endpoint (discharge or death).

The data regarding the blood tests and arterial blood gas analysis will be collected directly from electronic medical record of each patients, since it is a daily hospital routine to perform these blood tests. The data will be collected by two assessors blinded to the treatment applied. The mechanical ventilation control parameters will be collected directly in the mechanical ventilator.

Statistical analysis: All the data will be analyzed by a blinded researcher not involved in data collection. The findings will be tested for their normality using the Kolmogorov-Smirnov test. Parametric data will be expressed as mean and standard deviation and non-parametric data as median and respective upper and lower limits, data can be also expressed as frequency (%). Parametric data will be analysed by two-way repeated measures analysis of variance (time vs experimental group) with post hoc Bonferroni correction. Non-parametric data will be analysed using the Friedman test and, secondarily, the Wilcoxon signed-rank test. The association between categorical variables will be analyzed using the Chi-square test or Fisher's exact test. The significance level will be set at p<0.05.

Condition Respiratory Failure, Respiratory Failure, *COVID-19, Covid-19
Treatment Placebo PBMT/sMF, Active PBMT/sMF
Clinical Study IdentifierNCT04386694
SponsorUniversity of Nove de Julho
Last Modified on3 February 2023

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