Abstract
Background
Fatigue and exercise intolerance are the most common symptoms in patients with long COVID.
Aims
This study aimed to evaluate whether a home-based inspiratory muscle training (IMT) programme improves maximal functional capacity in patients’ long COVID after a previous admission due to SARS-CoV-2 pneumonia.
Methods
This study was a single-centre, blinded assessor, randomised controlled trial. Twenty-six patients with long COVID and a previous admission due to SARS-CoV-2 pneumonia were randomly assigned to receive either a 12-week IMT or usual care alone (NCT05279430). The physiotherapist and participants were not blinded. Patients allocated to the IMT arm were instructed to train at home twice daily using a threshold inspiratory muscle trainer and to maintain diaphragmatic breathing during the training session. The usual care arm received no intervention.
The primary endpoint was the change in peak oxygen consumption (peakVO2). Secondary endpoints were changes in quality of life (QoL), ventilatory efficiency and chronotropic response during exercise (evaluated by chronotropic index-CIx- formula). We used linear mixed regression analysis for evaluating changes in primary and secondary endpoints.
Results
The mean age of the sample and time to first visit after discharge were 50.4±12.2 years and 362±105 days, respectively. A total of 11 (42.3%) were female. At baseline, the mean of peakVO2, ventilatory efficiency and CIx were 18.9±5 mL/kg/min, 29.4±5.2 and 0.64±0.19, respectively. The IMT arm improved their peakVO2 significantly compared with usual care (+Δ 4.46 mL/kg/min, 95% CI 3.10 to 5.81; p<0.001). Similar positive findings were found when evaluating changes for CIx and some QoL dimensions. We did not find significant changes in ventilatory efficiency.
Conclusion
In long COVID patients with a previous admission due to SARS-CoV-2 pneumonia, IMT was associated with marked improvement in exercise capacity and QoL.
Trial registration number
Keywords: COVID-19, Pulmonary Rehabilitation
WHAT IS ALREADY KNOWN ON THIS TOPIC
Little is known about the clinical utility of home-based rehabilitation programmes on maximal functional capacity and quality of life in patients with long COVID, particularly in those with a previous admission due to SARS-CoV-2 pneumonia.
WHAT THIS STUDY ADDS
Home-based inspiratory muscle training (IMT) improves maximal functional capacity and quality of life in patients with long COVID after a previous admission due to SARS-CoV-2 pneumonia.
HOW THIS STUDY MIGHT AFFECT RESEARCH, PRACTICE OR POLICY
Home-based IMT seems to be a suitable, feasible and effective alternative to supervised exercise training programmes for improving exercise capacity and quality of life in patients with long COVID and may offer an accessible physical therapy model, requiring minimal infrastructure resources.
Introduction
The pathophysiology of long COVID conditions is complex and multifactorial. Patients with long COVID have long-lasting and heterogeneous symptoms with a non-accepted uniformed definition.1 2 The most commonly reported symptoms among long COVID patients are muscular weakness, fatigue and breathlessness.1 3 Indeed, compared with control individuals matched for age, sex and comorbidities, patients with long COVID showed significantly impaired exercise capacity.4
Current clinical recommendations from international societies5 and evidence from supervised exercise training programmes6–8 and unsupervised training programmes8 9 support the beneficial effect of physical therapies on COVID and post-COVID-19 conditions. Nevertheless, home-based programmes’ feasibility and clinical utility on maximal functional capacity in long COVID are small or even absent, particularly in symptomatic postdischarged patients. Based on results in other clinical scenarios,10–12 we hypothesised that a home-based IMT programme might significantly improve maximal functional capacity in long COVID patients. Accordingly, this randomised controlled study aimed to evaluate the effect of a 12-week home-based inspiratory muscle training (IMT) programme on maximal functional capacity and quality of life (QoL) in patients with long COVID recovering from a SARS-CoV-2 pneumonia requiring hospitalisation.
Methods
Study design
This study was a single-centre, blinded assessor, randomised clinical trial designed to evaluate the effect of a home-based IMT programme on maximal functional capacity in long-term symptomatic patients (>3 months) after hospital admission due to SARS-CoV-2 pneumonia (InsCOVID trial). The patients received a concealed allocation 1:1 to either a 12-week programme of IMT (IMT group) or usual care (UC) alone by a computer-generated randomisation scheme. At the baseline visit, demographic, echocardiographic and laboratory data were collected, and baseline primary and secondary endpoint measures were recorded for all participants. All participants underwent these measures after 12 weeks. The study design was previously published.13
Study population
The eligibility of candidate patients was based on the following inclusion criteria: (a) symptomatic adult >18 years old with a previous admission due to SARS-CoV-2 pneumonia; (b) at least 3 months after discharge; and (c) provide informed consent. In addition, exclusion criteria were: (a) inability to perform a maximal baseline exercise test; (b) structural heart disease, valve heart disease or diastolic dysfunction estimated by two-dimensional echocardiography; (c) previous ischaemic heart disease, heart failure, myocardiopathy or myocarditis; (d) effort angina or signs of ischemia during cardiopulmonary exercise testing (CPET); (e) significant primary pulmonary disease, including a history of pulmonary arterial hypertension, chronic thromboembolic pulmonary disease or chronic obstructive pulmonary disease; (f) treatment with digitalis, calcium channel blockers, β-blocker or ivabradine; (g) chronic kidney disease (glomerular filtration rate <60 mL/min/1.73 m2); (h) patients with pacemakers or previous history of atrial fibrillation; (i) autoimmune, inflammatory or active neoplastic disease; (j) anaemia; and (k) pregnancy.
The intervention sessions were conducted by a single physiotherapist with more than 20 years of respiratory physiotherapy experience and no contact with the assessors or the participants’ results.
Intervention
Eligibility assessment, randomisation and baseline visit
Patients who met the inclusion–exclusion criteria and signed the informed consent form were randomised (1:1) into two arms: (1) a home-based 12-week programme of IMT (IMT group) or (2) UC. At the baseline visit (day 0), a comprehensive medical history, physical examination, anthropometry and examination tests were performed by one pulmonologist and two cardiologists blinded to the patients’ allocation arm. The examination tests included: an ECG, two-dimensional transthoracic echocardiography, CPET, QoL assessment by the European Quality of Life 5 Dimensions 3 Level Version (EQ-5D-3L) questionnaire, pulmonary function test and blood samples for a panel of baseline biomarkers. Researchers performing the CPET and the other study procedures, excluding physiotherapist visits, were also blinded to treatment assignment.
Treatment intervention and physiotherapist visits
Following screening and baseline visit (day 0), patients received the following physiotherapist visits:
1. UC arm: Patients allocated to this arm were checked by a physiotherapist at the first visit (at day 1±3) and last visit (at day 90±5), who measured their maximal inspiratory pressure (MIP). MIP was obtained using a hand-held respiratory mouth pressure metre (electronic manometer-ELKA, PM15). With a nose clip, patients were instructed to breathe through a mouthpiece only during inspiration. Patients repeated this manoeuvre within a 1 min interval until three technically satisfactory and reproducible measurements were obtained (variation of −10%). The MIP values were obtained standing by inspiration from residual volume.
Patients allocated to this arm did not receive any physical therapy.
2. IMT group arm: patients allocated to this arm were checked by a physiotherapist at visit 1 (at day 1±3), weekly and at the last visit (at day 90±5). MIP was measured at each visit. Also, on visit 1 (day 1±3), a physiotherapist instructed and educated patients to perform diaphragmatic breathing during the training sessions. After visit 1, the patients started home-based inspiratory training at a resistance of 25%–30% of measured MIP, twice daily, for 20 min each session, for 12 weeks, using a threshold inspiratory muscle trainer (Threshold IMT, Respironics).
The physiotherapist examined the patients weekly by checking the diary card and measuring their MIP. The resistance was modified each session according to 25%–30% of their weekly MIP measured.
Outcome measurement
Cardiopulmonary exercise testing
Maximal functional capacity was evaluated using incremental and symptom-limited CPET on a bicycle ergometer, beginning with a workload of 10 W and increasing gradually in a ramp protocol at 10 W increments every 1 min. We defined maximal functional capacity as when the patient stops pedalling because of symptoms and the respiratory exchange ratio (RER) was ≥1.1. During exercise, patients were monitored with 12-lead ECG and blood pressure measurements every 2 min. Gas exchange data and cardiopulmonary variables were averages of values taken every 10 s. PeakVO2 was defined as the highest value of VO2 during the last 20 s of exercise. Once peakVO2 was obtained, we calculated its per cent of predicted peakVO2 (pp-peakVO2), defined as the percentage of predicted peakVO2 adjusted for sex, age, exercise protocol, weight and height according to the Wasserman/Hansen standard prediction equation for the healthy and sedentary population. The ventilatory efficiency was determined by measuring the slope of the linear relationship between minute ventilation (VE) and carbon dioxide production (VCO2) across the entire course of the exercise (VE/VCO2 slope).
The heart rate (HR) response during CPET was evaluated following the chronotropic index (CIx) formula=peak HR-rest HR/ [(220-age)-restHR)].14
Each subject underwent two tests (at baseline and 12 weeks).
Health-related QoL assessment
EQ-5D-3L instrument was used to assess the impact of the IMT on health-related QoL.15 The EQ-5D-3L evaluates five dimensions and uses a simple score (1–3) for evaluating each dimension, with 11 111 representing the best health state and 33 333 representing the worst health state. Furthermore, the EQ-5D-3L instrument introduces a visual analogue scale, which provides a self-rated health status, with 0 representing the worst imaginable health and 100 representing the best imaginable health.15 Each subject underwent two tests (at baseline and 12 weeks).
Endpoints
The study’s primary endpoint was the average change from baseline in mean peakVO2. The secondary endpoints were: (a) absolute changes in VE/VCO2 slope, (b) absolute changes in chronotropic response during CPET and (c) absolute changes in different QoL dimensions assessed by the EQ-5D-3L tool.
Statistical analysis
All statistical comparisons were made under an intention-to-treat principle.
Descriptive analysis
Continuous variables are expressed as means (±1 SD) or medians (IQR), and discrete variables are as percentages. At baseline, the means, medians, and frequencies among treatment groups were compared using the t-test, Wilcoxon and χ2 test.
Sample size
The primary efficacy endpoint null hypothesis stated no differences in the mean peakVO2 among the IMT group and UC arm patients. Based on previous studies in other clinical scenarios,10–12 IMT would be associated with a significant increase of at least a mean peakVO2 of 3 mL/kg/min, with an SD of ±2.5.
Assuming an allocation ratio of 1:1, 22 patients (11 patients per group) would provide 80% of power at a significance alpha level <0.05. In addition, we assumed 15% of withdrawals or losses to follow-up. Thus, 13 patients per arm (26 patients) were estimated. The software used for sample size calculation was GRANMO.
Inferential analyses
A linear mixed regression model (LMRM) was used to analyse the primary and secondary continuous endpoints. All analyses included the baseline value of the endpoint as a covariate (mixed model within the framework of analysis of covariance). In addition, the period effect was tested by modelling the interaction between the treatment group and the period. LMRMs are presented as least square means with 95% CIs and p values. All analyses were performed with STATA V.15.1. (Stata Statistical Software, Release 15 (2017); StataCorp LP).
Patient and public involvement
Patients or the public were not involved in the design, conduct, reporting or dissemination plans of our post hoc analysis.
Results
Compliance with the trial protocol
Recruitment accomplished the sample size calculation estimated in the registered protocol. In addition, all enrolled participants met the eligibility criteria. Therefore, all of the outcome measures in the registered protocol are reported.
The flow of participants through the study
A total of 32 patients were assessed for eligibility, of whom 26 met the inclusion criteria and agreed to participate in the study. A detailed flow chart is presented in figure 1. All patients allocated to the control group completed the two physiotherapist visits. Among 13 patients assigned to the IMT group, 12 completed all weekly physiotherapist visits and one interrupted their weekly physiotherapist visit for 2 weeks due to SARS-CoV-2 reinfection.
Figure 1.
Flow chart for patient’s inclusion and follow-up. IMT, inspiratory muscle training; UC, usual care.
Baseline characteristics
Patient baseline characteristics are presented in table 1. At baseline, the mean age was 50.4±12.2 years, 42.3% were women, 11.5% had a history of hypertension and the mean time to the first CPET from hospital discharge was 362±105 days. Patients included showed a moderately reduced functional capacity (mean pp-peakVO2 was 74.9±15%). There were no significant differences in clinical, echocardiographic, functional tests or laboratory data across randomisation arms.
Table 1.
Baseline characteristics of the patients stratified by randomisation arm
Variables | All patients | Training | Control | P value |
n (%) | 26 (100) | 13 (50) | 13 (50) | |
Demographic and medical history | ||||
Age, years | 50.4±12.2 | 49.9±11.6 | 50.8±13.2 | 0.664 |
Women, n (%) | 11 (42) | 7 (54) | 4 (31) | 0.234 |
BMI, kg/m2 | 29 (26–32) | 29 (26–32) | 30 (27–32) | 0.643 |
Hypertension, n (%) | 3 (12) | 1 (8) | 2 (15) | 0.536 |
Current smoker, n (%) | 1 (4) | 1 (8) | 0 (0) | 0.232 |
Prior smoker, n (%) | 8 (31) | 4 (31) | 4 (31) | 1 |
Length of hospital stay, days | 8 (5-15) | 6 (5-15) | 8 (7-11) | 0.877 |
Received steroids, n (%) | 25 (96) | 12 (92) | 13 (100) | 0.232 |
Time to the first CPET from discharge, days | 362±105 | 385±97 | 340±105 | 0.638 |
Vital signs | ||||
Heart rate at rest, bpm | 77±11 | 78±12 | 77±10 | 0.443 |
Systolic blood pressure at rest, mm Hg | 117±12 | 116±10 | 118±13 | 0.357 |
Diastolic blood pressure at rest, mm Hg | 61±5 | 63±5 | 60±6 | 0.434 |
Laboratory values, echocardiography parameters and pulmonary function test | ||||
Haemoglobin, g/dL | 14.6±1.1 | 14.6±1.4 | 14.5±0.9 | 0.801 |
CRP, mg/L | 1.6 (0.8–3.2) | 1.8 (0.8–3) | 1.4 (0.8–3.2) | 0.939 |
NT-proBNP, pg/mL | 28 (14–43) | 30 (18–36) | 26 (11–50) | 0.939 |
LVEF, % | 65.6±6.1 | 65.2±5.8 | 66.1±6.6 | 0.680 |
PASP, mm Hg* | 27.7±4.7 | 26.8±5.9 | 28.7±2.9 | 0.105 |
DLCO, % | 72.5±13.3 | 72.8±13.2 | 72.1±13.9 | 0.868 |
MIP, cmH2O | 83 (62–105) | 80 (66–101) | 86 (60–110) | 0.858 |
CPET variables | ||||
Workload, W | 119.5±36 | 122±34.2 | 117.1±39 | 0.659 |
Exercise time, s | 684.8±218.7 | 669.5±237.3 | 700±207 | 0.644 |
Peak heart rate, bpm | 139±20 | 144±20 | 135±20 | 1 |
Chronotropic index† | 0.64±0.19 | 0.72±0.19 | 0.64±0.18 | 0.855 |
Peak systolic blood pressure, mm Hg | 157±20 | 158±20 | 155±20 | 0.918 |
RER | 1.12 (1.1–1.16) | 1.12 (1.1–1.16) | 1.1 (1.1–1.15) | 0.708 |
PeakVO2, mL/kg/min | 18.9±5 | 18.8±5.8 | 18.9±4.4 | 0.323 |
pp-peakVO2, % | 74.9±15 | 76.9±17 | 72.9±14 | 0.494 |
VE/VCO2 slope | 29.4±5.2 | 28.2±4.6 | 30.5±5.6 | 0.480 |
Health-related QOL: EQ-5D-3L questionnaire | ||||
Mobility dimension | 1 (1–1) | 1 (1–1) | 1 (1–1) | 0.149 |
Self-care dimension | 1 (1–1) | 1 (1–1) | 1 (1–1) | 1 |
Usual activities dimension | 1 (1–2) | 1 (1–2) | 1 (1–1) | 0.193 |
Pain/discomfort dimension | 1 (1–2) | 1 (1–2) | 1 (1–2) | 1 |
Anxiety/depression dimension | 1 (1–2) | 2 (1–2) | 1 (1–1) | 0.098 |
Visual analogue scale | 70 (60–80) | 70 (50–80) | 79 (70–87) | 0.073 |
Continuous variables are presented as median (IQR), and categorical variables are as percentages.
*Data available in 15 patients (eight in the training arm and seven in the control arm).
†Cronotropic index formula=peak HR-rest HR/ [(220-age)-restHR)].
BMI, body mass index; CPET, cardiopulmonary exercise testing; CRP, C reactive protein; DLCO, diffusing capacity of the lungs for carbon monoxide; LVEF, left ventricle ejection fraction; MIP, maximal inspiratory pressure; NT-proBNP, N-terminal pro b-type natriuretic peptide; PASP, pulmonary artery systolic pressure; peakVO2, peak oxygen consumption; pp-peakVO2, percent of predicted peak oxygen consumption, RER, respiratory exchange ratio; QoL, quality of life; VE/VCO2 slope, ventilatory efficiency.
Primary endpoint
At baseline and 3 months, all patients performed a maximal CPET (RER>1.1).
Between-person comparisons
At 3 months, the mean of peakVO2 was higher in those in the IMT group (22.2 mL/kg/min, 95% CI 21.3 to 23.2 vs 17.8 mL/kg/min, 95% CI 16.8 to 18.7; p<0.001 (Δ+4.46 mL/kg/min)) as shown in figure 2A. Similar findings were found when pp-peakVO2 was analysed. At 12 weeks, the mean of pp-peakVO2 was also higher in patients allocated to the IMT group (89.1 %, 95% CI 85.2 to 92.9 vs 71.1 %, 95% CI 67.2 to 74.9; p<0.001 (Δ+18.03 %)) (figure 2B).
Figure 2.
Change in mean peakVO2 and pp-peakVO2. IMT, inspiratory muscle training; peakVO2, peak oxygen consumption; pp-peakVO2, percent predicted peak oxygen consumption; UC, usual care.
Within-person comparisons
The precomparisons and postcomparisons within groups showed a significant increase in mean peakVO2 values for the IMT group (3.4 mL/kg/min, 95% CI 2.1 to 4.6, p<0.001). Conversely, the UC group decreased in mean peakVO2 (−1.09 mL/kg/min, 95% CI −1.8 to −0.384, p=0.006).
Secondary endpoints
Effect of IMT on VE/VCO2 slope
VE/VCO2 slope did not significantly differ between the IMT group versus UC at 12 weeks (Δ −1.92, 95% CI −4.69 to 0.85, p=0.165) (figure 3A).
Figure 3.
Change in mean ventilatory efficiency and chronotropic index. CIx, chronotropic index; IMT, inspiratory muscle training; UC, usual care; VE/VCO2 slope, ventilatory efficiency.
The precomparisons and postcomparisons within groups did not show a significant change for the IMT group (−1.03 mL/kg/min, 95% CI –2.75 to −0.69, p=0.214) or UC group (−0.24 mL/kg/min, 95% CI –2.14 to 1.66, p=0.784) at 12 weeks.
Effect of IMT on HR response to maximal exercise
At 12 weeks, the mean of CIx significantly increased in those patients allocated to the IMT group (0.75, 95% CI 0.66–0.84 vs 0.62, 95% CI= 0.53–0.71; p=0.046 (Δ+0.13)) (figure 3B).
The precomparisons and postcomparisons within groups did not show a significant change for the IMT group (0.06, 95% CI −0.17–0.13, p=0.122) or UC group (−0.04, 95% CI −0.15 to 0.072, p=0.447).
Effect of IMT on health-related QoL
A significant improvement in usual activities (−0.31, 95% CI −0.54 to −0.07, p=0.013) and anxiety/depression (−0.53, 95% CI −0.67 to −0.40, p<0.001) dimensions was found in IMT group (figure 4A, E), with no significant changes in UC. IMT resulted in a non-significant improvement in both groups’ mobility, self-care and pain/discomfort dimensions (figure 4B, C, D). A significant change in the patient’s self-rated health on a vertical visual analogue scale dimension in those patients allocated to the IMT group (21.1, 95% CI 12.9 to 29.4, p<0.001) (figure 4F).
Figure 4.
Change in the score of different QoL dimensions assessed by the EQ-5D-3L tool. IMT, inspiratory muscle training; QoL, quality of life; UC, usual care.
Safety and adherence
There were no reports of adverse effects following or during exposure to IMT. All patients in the IMT group reported two daily sessions of IMT. Patients allocated in the IMT group significantly improved the maximal inspiratory pressure (+79.4 cmH2O, 95% CI 68.7 to 98.1, p<0.001) at 12 weeks, with no significant change in the UC group (+17.3cmH2O, 95% CI −2.1 to 36.7.1, p=0.075).
Discussion
The main finding of the InsCOVID trial is that a 12-week home-based IMT programme in symptomatic postdischarged patients with long COVID resulted in a substantial improvement in physical performance and QoL. To our knowledge, this is the first randomised controlled study that evaluated the effect of a home-based IMT programme on maximal functional capacity over a middle-aged postdischarged population with long COVID and reduced aerobic capacity.
Recent clinical practice recommendations and regulatory agencies have increasingly recognised patients’ symptoms and physical function as important therapeutic targets in long COVID.5 16–18 Among them, exercise intolerance and breathlessness are cardinal clinical features. PeakVO2 during a maximal symptom-limited CPET is the most reliable parameter to assess maximal functional capacity in long COVID and provides relevant information about potential mechanisms of exercise limitation among people with long COVID.19 Paradoxically, however, evidence regarding the effects of exercise-based rehabilitation programmes on improving maximal exercise capacity (measured as peakVO2) in long COVID comes from observational studies and remains scarce.20 21
IMT in long COVID
Home-based IMT programmes demonstrated significant improvement in peakVO2 in other clinical scenarios.12 22 However, regarding the long COVID setting, only a previously published randomised study evaluated the effect of an 8-week home-based IMT programme versus UC on reported QoL (primary endpoint), perceived dyspnoea (secondary endpoint) and an indirect evaluation of fitness (secondary endpoint) in a non-selected population of outpatients with long COVID.23 The authors reported improved perceived dyspnoea with no differences in the primary endpoint. Furthermore, although the authors did not directly measure the maximal functional capacity, they reported a significant improvement in the trained group’s indirect measurement of peakVO2 (using a step test). Interestingly, the increase in estimated peakVO2 was similar to the present study (Δ~+4 mL/kg/min). Likewise, in concordance with the current study, a home-based IMT seems to be a safe, feasible and efficacious approach for improving functional capacity in patients with long COVID.
Biological plausibility
Although it was not the aim of this study to analyse the physiological mechanisms underlying the effects of IMT on patients with long COVID, several potential mechanisms have been postulated to explain the beneficial effects of IMT on functional capacity: (1) decreases the rating of perceived exertion and improves respiratory muscle economy,24 25 improving exercise tolerance; (2) improves ventilatory efficiency and improves breathing patterns during exercise hyperpnoea24 26 and (3) attenuates the respiratory muscle metaboreflex,24 27 which leads to sympathetic attenuation and autonomic regulation.
Interestingly, 12-week IMT significantly improved blunted HR response to exercise, which has been associated with autonomic dysfunction in long COVID patients.28 Similarly, IMT enhanced patients’ self-reported health-related QoL or anxiety. Finally, although VE/VCO2 decreased in patients allocated to the IMT arm, the magnitude of this change was not significant. Two main reasons may partially explain this last fact. The first, and most likely reason, is the short follow-up, which may underestimate potential benefits that can take longer to emerge. Second, considering that the sample size was calculated for the primary endpoint, some of the negative results in secondary outcome measures could be explained by insufficient statistical power (type II error).
Clinical implications
Home-based IMT is a simple, low-cost and safe intervention that could be implemented after a short physiotherapeutic training period. According to present findings, home-based IMT is a suitable, feasible and effective alternative for improving exercise capacity and QoL in patients with long COVID and may offer an accessible physical therapy model, requiring minimal infrastructure resources.
Study limitations
Several limitations need to be acknowledged. First, as a single-centre study, the generalisability of our results to other populations may be limited. Second, this study has the inherent limitations of being a trial with a relatively small number of participants. As such, we cannot discard that the trial findings on secondary endpoints may be due to low statistical power (type II error). Third, we have exclusively evaluated patients with long COVID after hospital admission due to SARS-CoV-2 pneumonia. Therefore, whether home-based IMT improves short-term maximal exercise capacity in patients with other post-COVID-19 conditions remains elusive. Finally, with the current data, we cannot unravel the biological mechanism behind these findings.
Conclusions
Among postdischarged patients with long COVID and reduced aerobic capacity, home-based IMT resulted in a significant improvement in exercise capacity and QoL. However, further studies must confirm these results and elucidate the underlying pathophysiological mechanisms responsible for these benefits.
bmjresp-2022-001439supp001.pdf (696KB, pdf)
Footnotes
PP and ED contributed equally.
Contributors: Conceptualisation and design: PP, ED, CG and LL. Acquisition, analysis or interpretation of data for the work: all authors. Drafting protocol manuscript: all authors. A critical review of protocol manuscript: all authors. Guarantor: PP
Funding: This work was supported in part by a grant from Sociedad Española de Cardiología, Investigación Clínica en Cardiología, Grant SEC 2021.
Competing interests: None declared.
Patient and public involvement: Patients and/or the public were not involved in the design, or conduct, or reporting, or dissemination plans of this research.
Provenance and peer review: Not commissioned; externally peer reviewed.
Supplemental material: This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.
Data availability statement
Data are available on reasonable request.
Ethics statements
Patient consent for publication
Consent obtained directly from patient(s)
Ethics approval
This study involves human participants and was approved by Comité Ético de Investigación Clínica (CEIC) del Hospital Clínico Universitario de Valencia. This study was registered at http://clinicaltrials.gov (NCT05279430). Participants gave informed consent to participate in the study before taking part.
References
- 1.Michelen M, Manoharan L, Elkheir N, et al. Characterising long COVID: a living systematic review. BMJ Glob Health 2021;6:e005427. 10.1136/bmjgh-2021-005427 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Nabavi N. Long covid: how to define it and how to manage it. BMJ 2020;370:m3489. 10.1136/bmj.m3489 [DOI] [PubMed] [Google Scholar]
- 3.Fernández-de-Las-Peñas C, Palacios-Ceña D, Gómez-Mayordomo V, et al. Prevalence of post-COVID-19 symptoms in hospitalized and non-hospitalized COVID-19 survivors: a systematic review and meta-analysis. Eur J Intern Med 2021;92:55–70. 10.1016/j.ejim.2021.06.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Raman B, Cassar MP, Tunnicliffe EM, et al. Medium-term effects of SARS-CoV-2 infection on multiple vital organs, exercise capacity, cognition, quality of life and mental health, post-hospital discharge. EClinicalMedicine 2021;31:100683. 10.1016/j.eclinm.2020.100683 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Thomas P, Baldwin C, Beach L, et al. Physiotherapy management for COVID-19 in the acute hospital setting and beyond: an update to clinical practice recommendations. J Physiother 2022;68:8–25. 10.1016/j.jphys.2021.12.012 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Nopp S, Moik F, Klok FA, et al. Outpatient pulmonary rehabilitation in patients with long COVID improves exercise capacity, functional status, dyspnea, fatigue, and quality of life. Respiration 2022;101:593–601. 10.1159/000522118 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Barbara C, Clavario P, De Marzo V, et al. Effects of exercise rehabilitation in patients with long coronavirus disease 2019. Eur J Prev Cardiol 2022;29:e258–60. 10.1093/eurjpc/zwac019 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Vieira AGdaS, Pinto ACPN, Garcia BMSP, et al. Telerehabilitation improves physical function and reduces dyspnoea in people with COVID-19 and post-COVID-19 conditions: a systematic review. J Physiother 2022;68:90–8. 10.1016/j.jphys.2022.03.011 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.McNarry MA, Berg RMG, Shelley J, et al. Inspiratory muscle training enhances recovery post-COVID-19: a randomised controlled trial. Eur Respir J 2022;60. 10.1183/13993003.03101-2021. [Epub ahead of print: 06 10 2022]. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Illi SK, Held U, Frank I, et al. Effect of respiratory muscle training on exercise performance in healthy individuals: a systematic review and meta-analysis. Sports Med 2012;42:707–24. 10.1007/BF03262290 [DOI] [PubMed] [Google Scholar]
- 11.Aznar-Lain S, Webster AL, Cañete S, et al. Effects of inspiratory muscle training on exercise capacity and spontaneous physical activity in elderly subjects: a randomized controlled pilot trial. Int J Sports Med 2007;28:1025–9. 10.1055/s-2007-965077 [DOI] [PubMed] [Google Scholar]
- 12.Palau P, Domínguez E, Núñez E, et al. Effects of inspiratory muscle training in patients with heart failure with preserved ejection fraction. Eur J Prev Cardiol 2014;21:1465–73. 10.1177/2047487313498832 [DOI] [PubMed] [Google Scholar]
- 13.Palau P, Domínguez E, Sastre C, et al. Effect of a home-based inspiratory muscular training programme on functional capacity in patients with chronic COVID-19 after a hospital discharge: protocol for a randomised control trial (InsCOVID trial). BMJ Open Respir Res 2022;9:e001255. 10.1136/bmjresp-2022-001255 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Kawasaki T, Kaimoto S, Sakatani T, et al. Chronotropic incompetence and autonomic dysfunction in patients without structural heart disease. Europace 2010;12:561–6. 10.1093/europace/eup433 [DOI] [PubMed] [Google Scholar]
- 15.Oliveira JS, Hayes A. Clinimetrics: the EuroQol-5 dimension (EQ-5D). J Physiother 2020;66:133. 10.1016/j.jphys.2020.02.012 [DOI] [PubMed] [Google Scholar]
- 16.Royal Australian College of General Practitioners . Patient resource: managing post-COVID-19 symptoms, 2020. Available: https://www.racgp.org.au/FSDEDEV/media/documents/Clinical%20Resources/Guidelines/Managing-post-COVID-19.pdf [Accessed 17 Oct 2021].
- 17.Canadian Physiotherapy Association . Rehabilitation for clients with post COVID-19 condition (long COVID), 2021. Available: https://physiotherapy.ca/rehabilitation-clients-post-covid-19-condition-long-covid [Accessed 29 Oct 2021].
- 18.World Physiotherapy . World physiotherapy response to COVID-19. Briefing paper 9. safe rehabilitation approaches for people living with long covid: physical activity and exercise, 2021. Available: https://world.physio/sites/default/files/2021-07/Briefing-Paper-9-Long-Covid-FINAL-English-202107.pdf [Accessed 25 Oct 2021].
- 19.Clavario P, De Marzo V, Lotti R, et al. Cardiopulmonary exercise testing in COVID-19 patients at 3 months follow-up. Int J Cardiol 2021;340:113–8. 10.1016/j.ijcard.2021.07.033 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Barbara C, Clavario P, De Marzo V, et al. Effects of exercise rehabilitation in patients with long coronavirus disease 2019. Eur J Prev Cardiol 2022;29:e258–60. 10.1093/eurjpc/zwac019 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Compagno S, Palermi S, Pescatore V, et al. Physical and psychological reconditioning in long COVID syndrome: results of an out-of-hospital exercise and psychological - based rehabilitation program. Int J Cardiol Heart Vasc 2022;41:101080. 10.1016/j.ijcha.2022.101080 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Moawd SA, Azab AR, Alrawaili SM, et al. Inspiratory muscle training in obstructive sleep apnea associating diabetic peripheral neuropathy: a randomized control study. Biomed Res Int 2020;2020:1–8. 10.1155/2020/5036585 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.McNarry MA, Berg RMG, Shelley J, et al. Inspiratory muscle training enhances recovery post-COVID-19: a randomised controlled trial. Eur Respir J 2022;60:2103101. 10.1183/13993003.03101-2021 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Shei R-J, Paris HL, Sogard AS, et al. Time to move Beyond a "One-size fits all" approach to inspiratory muscle training. Front Physiol 2021;12:766346. 10.3389/fphys.2021.766346 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Ramsook AH, Molgat-Seon Y, Schaeffer MR, et al. Effects of inspiratory muscle training on respiratory muscle electromyography and dyspnea during exercise in healthy men. J Appl Physiol 2017;122:1267–75. 10.1152/japplphysiol.00046.2017 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Turner LA, Tecklenburg-Lund SL, Chapman RF, et al. Inspiratory muscle training lowers the oxygen cost of voluntary hyperpnea. J Appl Physiol 2012;112:127–34. 10.1152/japplphysiol.00954.2011 [DOI] [PubMed] [Google Scholar]
- 27.Witt JD, Guenette JA, Rupert JL, et al. Inspiratory muscle training attenuates the human respiratory muscle metaboreflex. J Physiol 2007;584:1019–28. 10.1113/jphysiol.2007.140855 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Szekely Y, Lichter Y, Sadon S, et al. Cardiorespiratory abnormalities in patients recovering from coronavirus disease 2019. J Am Soc Echocardiogr 2021;34:1273–84. 10.1016/j.echo.2021.08.022 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
bmjresp-2022-001439supp001.pdf (696KB, pdf)
Data Availability Statement
Data are available on reasonable request.