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Record W4404642897 · doi:10.1093/eurheartj/ehae721

Exercise training in long COVID: the EXER-COVID trial

2024· article· en· W4404642897 on OpenAlexaboutno aff
Robinson Ramírez‐Vélez, Julio Oteiza, Gaizka Legarra‐Gorgoñon, Sergio Oscoz-Ochandorena, Nora García-Alonso, Yesenia García‐Alonso, María Correa‐Rodríguez, Adrián Soto-Mota, Míkel Izquierdo

Bibliographic record

VenueEuropean Heart Journal · 2024
Typearticle
Languageen
FieldMedicine
TopicLong-Term Effects of COVID-19
Canadian institutionsnot available
FundersSpanish National Plan for Scientific and Technical Research and Innovation
KeywordsCoronavirus disease 2019 (COVID-19)MedicineHumanitiesGerontology2019-20 coronavirus outbreakInternal medicineArtPathologyDisease

Abstract

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Post-COVID-19 syndrome, also referred to as long COVID is a multisystemic condition characterized by fatigue, headaches, attention deficits, low energy, functional impairment, sleep disturbance, and dyspnea.1 While the underlying mechanisms of long COVID remain unclear, several hypotheses have been proposed, including persisting viral reservoirs, immune dysregulation, alterations in the host microbiome, autoimmunity, and endothelial dysfunction.2 Treatments such as vaccinations, pharmacotherapy, nutritional support, rehabilitation, and physical exercise have been shown to improve symptoms.3–5 A 2023 review1 highlighted that existing research is insufficient to definitively improve outcomes for patients with long COVID. ‘The authors emphasized an urgent need for evidence-based rehabilitation interventions to support individuals affected by long COVID, noting that current guidelines are largely based on expert opinion and observational data’.5 Recent evidence suggests that exercise-based rehabilitation can enhance physical fitness, reduced symptoms of depression and anxiety, and improved long COVID outcomes.3,4 A systematic review further indicated that exercise-based rehabilitation is associated with improvements in functional exercise capacity, dyspnea, and quality of life (QoL), with a higher likelihood of better outcomes than standard care.3 Progressive resistance training (PRT), in particular, has been shown to alleviate dyspnea and discomfort in respiratory conditions and to reverse age-related declines in skeletal muscle.4,6,7 However, despite the general tolerance of exercise, guidelines cautioning against exercise in similar populations may require reconsideration.5,8 These recommendations are supported despite the well-established detrimental effects of physical inactivity, which is closely linked to secondary health conditions and declining QoL.9 It appears reasonable to cautiously incorporate exercise into rehabilitation protocols, with careful adjustments to intensity based on each patient's symptoms and abilities.7,9,10 We hypothesized that non-hospitalized patients with long COVID would benefit from structured exercise. In a randomized cross-over trial, we assessed the effects of a 6-week personalized PRT intervention, with a 5-day washout period between arms on cardiopulmonary fitness, muscular strength, long COVID symptoms, QoL, and emotional distress. Inclusion and exclusion criteria required a confirmed diagnosis of long COVID (per the WHO definition) with mild or moderate symptoms, no history of hospitalization, and no previous heart or lung disease.7,8 The intervention comprised of 12 supervised PRT sessions conducted twice weekly, as previously described.7 During the usual care phase, participants adhered strictly to standard care protocols and were instructed to avoid other structured exercise programs. The primary endpoint was a change in peak Oxygen uptake (V̇O2). Both intent-to-treat and per-protocol (PP) analyses were performed. Multiple imputation chain equations were applied to handle missing data for the primary outcome using predictive mean matching. Secondary endpoints included 22 patient-reported outcome measures regarding long-COVID symptoms, derived from standardized questionnaires on QoL, depression, and psychological distress. Maximal muscle strength assessments (handgrip, pectoral press, bilateral leg-press, knee extension, and back press) and cognitive performance (Montreal cognitive assessment and trail making test A) were also evaluated. The study recruitment and data collection spanned from 1 May 2021, to 7 January 2023. A total of 89 participants completed the full intervention—59 women and 30 men—and were included in the final analysis, having attended at least 80% of exercise sessions. Seven participants were lost to follow-up after six weeks, and an additional four participants at 12 weeks. Statistical analysis revealed no significant carry-over effects for neither the primary endpoint V̇O2, nor the secondary endpoints, Table 1. Efficacy end points 1-RM, one-repetition maximum; ALM, Appendicular lean mass; BRCS, Brief Resilient Coping Scale; CES-D 10 items, Center for Epidemiological Studies Depression Scale; EQ-5D, EuroQol-5D; K10, 10-item Kessler Psychological Distress scale; MoCA, Montreal Cognitive Assessment; T, time; TMT-A, Trail Making Test A; VAS, visual analogue scale; V̇E/V̇CO2 slope, ventilatory efficiency; V̇O2peak, Peak oxygen consumption; VT1, first ventilatory threshold. *Group 1 (AB) underwent a 6-week exercise intervention and switch period, followed by a 6-week usual care period, and group 2 (BA) underwent a 6-week usual care period and switch period, followed by a 6-week exercise intervention. ** intention-to-treat (ITT) analyses (results of the primary analysis using a prespecified multiple imputation for missing values via predictive mean matching model), ** per-protocol (PP) analyses for primary and secondary end point considering all available data (without imputation). aV̇O2peak, in milliliters of oxygen per kilogram of body weight per minute, was defined as the highest 30-s average within the last minute of exercise. Lower values represent worse exercise capacity. bVT1 was set by the V-slope method, and the minute ventilation to carbon dioxide production slope (V̇E/V̇CO2 slope) was calculated using the entire exercise data. Lower values represent worse exercise efficiency. cV̇E/V̇CO2 slope is a unitless index that is defined by minute ventilation (in L/min) relative to carbon dioxide production (in L/min) throughout exercise. Lower values represent a better exercise ventilatory response. dThe 1-RM test measured the maximum weight that could be lifted 1–2 times while maintaining proper form. Higher values represent better muscular strength. eALM, which represents the appendicular fat-free mass minus the bone mineral content, was assessed using dual-energy X-ray absorptiometry. ALM/(height)2 in kg/m2 was calculated as weight divided by height squared. Higher values represent better muscle quality. fHigher scores reflect better health-related QoL, ranging from 0 to 1. gGeneral health visual analog scale from 0 ‘poorest health’ to 100 ‘perfect health’. hHigher scores reflecting more severe depressive symptoms, score range: 0 to 30. iHigher scores indicate severe distress, score range: 10 to 50. jHigher scores indicate the individual perceives they have a better ability to ‘bounce back’ and recover from stressful events and/or situations, and life satisfaction, score range: 0 to 10 where 0 means ‘the worst possible life overall’ and 10 means. kHigher scores indicate better cognitive performance, with scores ranging from 0 to 30 points. lHigher scores reveal greater impairment, maximum score 100 s. We assessed potential differences therapeutic effects between group 1 (AB, exercise first) and group 2 (BA, usual care first) but observed no significant period effect (−0.86 mL/kg/min [95% CI −1.78 to 0.07]). Peak V̇O2 increased by a mean of 2.10 mL/kg/min [95% CI 1.25 to 2.94], with comparable results found in PP analyses. Baseline Ferritin levels were associated with peak V̇O2 change, as demonstrated by both a regression tree analysis and a univariate linear model (P = 0.01). The intervention led to significant improvements in watts at peak V̇O2 and muscle strength (1RM) across pectoral press, bilateral leg-press, knee extension, and back press (P < 0.001). Appendicular lean mass (ALM) normalized for height2 (ALM/height2) increased by 0.06 kg/m2 [95% CI 0.00 to 0.12]. However, no significant changes were observed in grip strength or body fat mass post-treatment. Additionally, PRT was associated with reduced depression levels and psychological distress, while visual scores for QoL showed notable improvements, along with enhanced cognitive abilities and performance. The prevalence of COVID-related symptoms decreased between phases, including weakness (RR = 0.75 [95% CI 0.59 to 0.95]), dyspnea (RR = 0.56 [95% CI 0.39 to 0.82]), and memory loss (RR = 0.84 [95% CI 0.72 to 0.97]). The intervention was prematurely discontinued in two patients due to exercise-related events, including palpitations (two events in period 1) and general pain or discomfort (two events in period 1 and one event in period 2) across three patients. Additionally, two patients were withdrawn during period 1 due to SARS-CoV-2 reinfection, and four more patients opted out of the trial. Overall, these findings indicate that the PRT program yields both physical and mental benefits. While our results do not offer insights into the optimal duration of exercise programs, the data provide strong support for the use of this nonpharmacological intervention in real-world settings.9 The absence of functional or exercise tolerance outcomes does limit the interpretability of these results, yet prior evidence has shown that improvements in muscle strength may lead to enhanced functional capacity in individuals recovering from post-COVID-19 syndrome.10 Furthermore, our exploratory analysis identified a correlation between baseline Ferritin, a well-known inflammation marker, and improvements in peak V̇O2. This suggests that clinical improvements may, at least in part, be mediated by reductions in inflammation. Further mechanistic studies are needed to confirm these findings. We acknowledge several limitations in our study. First, the inability to blind the intervention may have introduced placebo effects, potentially contributing to some of the observed benefits. Second, enrollment dynamics may have led to exaggerated adherence and responses during the initial period, with enthusiasm waning in the second phase. Third, the order of the intervention was not a significant predictor of differences between phases. Additionally, new treatments and vaccines that emerged during the study period altered the prognosis of COVID-19, though their effect on existing cases of long COVID remains unclear. Furthermore, generalizability to other populations, such as hospitalized patients, is limited due to potentially different responses to the intervention. Given that exercise was generally well tolerated, current guidelines cautioning against exercise in similar populations may need to be reconsidered.9,10 It appears reasonable to carefully integrate exercise into rehabilitation protocols, with intensity adjustments tailored to each patients’ symptoms and abilities.8,9 In conclusion, supervised PRT significantly improved cardiorespiratory fitness, strength, mental health, and several manifestations presented in patients with long COVID. This program represents a safe, effective, and low-cost intervention to enhance physical capacity, symptoms, and QoL. Clinicians should consider incorporating such interventions into the management of long COVID. Supplementary data are not available at European Heart Journal online. All authors declare no disclosure of interest for this contribution. The data sets used and/or analysed during the current study are available from the corresponding authors upon a reasonable request. The EXER-COVID Crossover Study was supported by Proyectos de I+D+i de los Programas Estatales de Generación de Conocimiento y Fortalecimiento Científico y Tecnológico del Sistema de I+D+i Orientada a los Retos de la Sociedad, en el marco del Plan Estatal de Investigación Científica y Técnica y de Innovación 2017–2020 (PID2020-113098RB-I00). The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; or decision to submit the manuscript for publication. This single-center, randomized crossover ‘EXER-COVID’ trial was approved by the Hospital Universitario de Navarra (HUN) Research Board (ID PI_2020/140). This study was pre-registered with the code NCT04797871 on 15 March 2021.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.058
GPT teacher head0.358
Teacher spread0.301 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations7
Published2024
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