scholarly journals LONG-TERM MEMBERSHIP IN CARDIAC REHABILITATION PRESERVES CARDIORESPIRATORY FITNESS AND MUSCLE STRENGTH IN MEN WITH CARDIOVASCULAR DISEASE: A RETROSPECTIVE REVIEW

2018 ◽  
Vol 34 (10) ◽  
pp. S39-S40
Author(s):  
M. Pryzbek ◽  
M. MacDonald ◽  
P. Stratford ◽  
J. Richardson ◽  
A. McQuarrie ◽  
...  
2019 ◽  
Vol 35 (10) ◽  
pp. 1359-1365 ◽  
Author(s):  
Mike Pryzbek ◽  
Maureen MacDonald ◽  
Paul Stratford ◽  
Angelica McQuarrie ◽  
Julie Richardson ◽  
...  

2021 ◽  
Vol 2 (1) ◽  
pp. 543-549
Author(s):  
Mike Pryzbek ◽  
Maureen MacDonald ◽  
Paul Stratford ◽  
Julie Richardson ◽  
Angelica McQuarrie ◽  
...  

Author(s):  
Kenneth Shinkichi Noguchi ◽  
Michael Pryzbek ◽  
Kevin Moncion ◽  
Angelica McQuarrie ◽  
Maureen J. MacDonald ◽  
...  

Smoking is an important risk factor for cardiovascular disease and all-cause mortality. Cardiac rehabilitation (CR) is effective for reducing the risk of recurrent cardiac events through improving cardiorespiratory fitness (CRF). Little is known about the influence of smoking on CRF throughout long-term CR. The purpose of this analysis was to compare CRF trajectories among individuals with positive and negative smoking history enrolled in long-term CR. Participants had a positive smoking history if they currently smoke or formerly smoked (Smoke+, n=55, mean age=64.9 ± 9.0 years) and had a negative history if they never smoked (Smoke–, n=34, mean age=61.4 ± 9.0 years). CRF (VO2peak) was measured at baseline and annually thereafter for 6 years. The Smoke+ group had lower CRF compared to the Smoke– group over enrollment (β=-3.29 (SE=1.40), 95% CI -6.04, -0.54, p=0.02), but there was no interaction of smoking history and enrollment (β=0.35 (SE=0.21), 95% CI -0.06, 0.77, p=0.10). Moreover, trajectories were not influenced by pack-years (β=0.01 (SE=0.01), 95% CI -0.01, 0.04, p=0.23) or time smoke-free (β=-0.002 (SE=0.01), 95% CI -0.02, 0.02, p=0.80). Although the trajectories of CRF do not appear to be affected by smoking behaviour, individuals without a history of smoking maintained higher CRF throughout enrollment. Novelty bullets: • The benefits of long-term exercise-based cardiac rehabilitation on cardiorespiratory fitness are similar between those who have smoked and those who have never smoked. • Neither the number of pack-years nor the length of time spent smoke-free influence cardiorespiratory fitness trajectories following long-term cardiac rehabilitation.


2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
M Borges ◽  
M Lemos Pires ◽  
R Pinto ◽  
G De Sa ◽  
I Ricardo ◽  
...  

Abstract Funding Acknowledgements Type of funding sources: None. Introduction Exercise prescription is one of the main components of phase III Cardiac Rehabilitation (CR) programs due to its documented prognostic benefits. It has been well established that, when added to aerobic training, resistance training (RT) leads to greater improvements in peripheral muscle strength and muscle mass in patients with cardiovascular disease (CVD). With COVID-19, most centre-based CR programs had to be suspended and CR patients had to readjust their RT program to a home-based model where weight training was more difficult to perform. How COVID-19 Era impacted lean mass and muscle strength in trained CVD patients who were attending long-term CR programs has yet to be discussed. Purpose To assess upper and lower limb muscle strength and lean mass in CVD patients who had their centre-based CR program suspended due to COVID-19 and compare it with previous assessments. Methods 87 CVD patients (mean age 62.9 ± 9.1, 82.8% male), before COVID-19, were attending a phase III centre-based CR program 3x/week and were evaluated annually. After 7 months of suspension, 57.5% (n = 50) patients returned to the face-to-face CR program. Despite all constraints caused by COVID-19, body composition and muscle strength of 35 participants (mean age 64.7 ± 7.9, 88.6% male) were assessed. We compared this assessment with previous years and established three assessment time points: M1) one year before COVID-19 (2018); M2) last assessment before COVID-19 (2019); M3) the assessment 7 months after CR program suspension (last trimester of 2020). Upper limbs strength was measured using a JAMAR dynamometer, 30 second chair stand test (number of repetitions – reps) was used to measure lower limbs strength and dual energy x-ray absorptiometry was used to measure upper and lower limbs lean mass. Repeated measures ANOVA were used. Results Intention to treat analysis showed that upper and lower limbs lean mass did not change from M1 to M2 but decreased significantly from M2 to M3 (arms lean mass in M2: 5.68 ± 1.00kg vs M3: 5.52 ± 1.06kg, p = 0.004; legs lean mass in M2: 17.40 ± 2.46kg vs M3: 16.77 ± 2.61kg, p = 0.040). Lower limb strength also decreased significantly from M2 to M3 (M2: 23.31 ± 5.76 reps vs M3: 21.11 ± 5.31 reps, p = 0.014) after remaining stable in the year prior to COVID-19. Upper limb strength improved significantly from M1 to M2 (M1: 39.00 ± 8.64kg vs M2: 40.53 ± 8.77kg, p = 0.034) but did not change significantly from M2 to M3 (M2 vs M3: 41.29 ± 9.13kg, p = 0.517). Conclusion After CR centre-based suspension due to COVID-19, we observed a decrease in upper and lower limbs lean mass and lower limb strength in previously trained CVD patients. These results should emphasize the need to promote all efforts to maintain physical activity and RT through alternative effective home-based CR programs when face-to-face models are not available or possible to be implemented.


2021 ◽  
Vol 343 ◽  
pp. 139-145
Author(s):  
Tamara Williamson ◽  
Chelsea Moran ◽  
Daniele Chirico ◽  
Ross Arena ◽  
Cemal Ozemek ◽  
...  

Author(s):  
Johanna Gutenberg ◽  
Stefan Tino Kulnik ◽  
Rada Hussein ◽  
Thomas Stütz ◽  
Josef Niebauer ◽  
...  

Physical activity is a vital part of cardiac rehabilitation (CR). However, heart-healthy physical activity levels in people with cardiovascular disease drop significantly after CR. This exploratory study employs qualitative and survey methods within a co-creation approach. The aim is to understand the mechanisms of healthy behavior and habit formation in order to create a novel evidence-based (post-)rehabilitation approach that employs digital means to sustain long-term physical activity levels in people with cardiovascular disease.


2019 ◽  
Vol 27 (8) ◽  
pp. 811-819 ◽  
Author(s):  
Nicolai Mikkelsen ◽  
Carmen Cadarso-Suárez ◽  
Oscar Lado-Baleato ◽  
Carla Díaz-Louzao ◽  
Carlos P Gil ◽  
...  

Background Improvement in exercise capacity is a main goal of cardiac rehabilitation but the effects are often lost at long-term follow-up and thus also the benefits on prognosis. We assessed whether improvement in VO2peak during a cardiac rehabilitation programme predicts long-term prognosis. Methods and results We performed a retrospective analysis of 1561 cardiac patients completing cardiac rehabilitation in 2011–2017 in Copenhagen. Mean age was 63.6 (11) years, 74% were male and 84% had coronary artery disease, 6% chronic heart failure and 10% heart valve replacement. The association between baseline VO2peak and improvement after cardiac rehabilitation and being readmitted for cardiovascular disease and/or all-cause mortality was assessed with three different analyses: Cox regression for the combined outcome, for all-cause mortality and a multi-state model. During a median follow-up of 2.3 years, 167 readmissions for cardiovascular disease and 77 deaths occurred. In adjusted Cox regression there was a non-linear decreasing risk of the combined outcome with higher baseline VO2peak and with improvement of VO2peak after cardiac rehabilitation. A similar linear association was seen for all-cause mortality. Applying the multi-state model, baseline VO2peak and change in VO2peak were associated with risk of a cardiovascular disease readmission and with all-cause mortality but not with mortality in those having an intermediate readmission for cardiovascular disease. Conclusion VO2peak as well as change in VO2peak were highly predictive of future risk of readmissions for cardiovascular disease and all-cause mortality. The predictive value did not extend beyond the next admission for a cardiovascular event.


Cardiology ◽  
2021 ◽  
pp. 1-8
Author(s):  
Jari A. Laukkanen ◽  
Sudhir Kurl ◽  
Hassan Khan ◽  
Francesco Zaccardi ◽  
Setor K. Kunutsor

<b><i>Introduction:</i></b> Percentage of age-predicted cardiorespiratory fitness (% age-predicted CRF) is a potentially useful cardiopulmonary exercise testing (CPX) parameter, but there are limited data on its prognostic relevance for adverse cardiovascular disease (CVD) outcomes. We aimed to assess the association of % age-predicted CRF with CVD mortality and the extent to which % age-predicted CRF measurements could improve the prediction of CVD mortality. <b><i>Methods:</i></b> Peak oxygen uptake, used as the measure of CRF, was directly assessed in 2,276 men who underwent CPX. The age-predicted CRF estimated from a regression equation for age was transformed to % age-predicted CRF with the following formula: (achieved CRF/age-predicted CRF) × 100. Hazard ratios (HRs) (95% confidence intervals [CIs]) and measures of risk discrimination for CVD mortality were calculated. <b><i>Results:</i></b> During a median follow-up of 28.5 years, 643 fatal CVDs were recorded. The relationship between % age-predicted CRF and CVD mortality was dose response in nature. In analysis adjusted for conventional risk factors, one standard deviation increase in % age-predicted CRF was associated with a reduced risk of CVD mortality (HR 0.61; 95% CI: 0.56–0.67), which was minimally attenuated on further adjustment for several other confounders (HR 0.71; 95% CI: 0.64–0.78). Addition of % age-predicted CRF to a CVD mortality risk prediction model containing established risk factors significantly improved risk discrimination and reclassification. <b><i>Conclusion:</i></b> Percentage of age-predicted CRF is inversely and independently associated with CVD mortality in a graded fashion and significantly improves the prediction and classification of the long-term risk for CVD mortality beyond established risk factors.


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