Exercise capacity in early and late adult heart transplant recipients

Background: The aim of this study was to compare peak oxygen consumption (VO2), heartrate (HR) reserve and HR recovery in early and late heart transplant recipients. Moreover, wealso aimed to correlate peak VO2 and HR reserve.Methods: Fivteen heart transplant recipients (8 early and 7 late), 8 ± 3 and 161 ± 58 monthsafter transplantation, respectively, performed a cardiopulmonary exercise test.Results: Early heart transplant recipients showed lower HR reserve compared to late heart transplantrecipients, 39 ± 15 vs. 58 ± 19 bpm (p = 0.049), respectively. Peak VO2 (23.4 ± 4 vs. 21.8 ± 5 mL/kg/min, p = 0.56), VO2 respiratory compensation point (18.7 ± 2 vs. 18.5 ± 4 mL//kg/min, p = 0.48) and time of exercise testing (14 ± 3 vs. 13 ± 3 min, p = 0.95) %age--predicted peakVO2 (65 ± 12 vs. 70 ± 10%, p = 0.24) were not different between the groups.Moreover, peak VO2 and %age-predicted peakVO2 correlated with HR reserve only in early hearttransplant recipients (r = 0.89, p = 0.003 and r = 0.71, p = 0.04, respectively). Early hearttransplant recipients increased HR (2.5 ± 2.0% at fi rst minute and 0.7 ± 2.3% at the secondminute), while late recipients decreased HR (–6.0 ± 4.7 at fi rst minute and –15.5 ± 2.4 at thesecond minute) at the recovery period of cardiopulmonary exercise test.Conclusions: Exercise capacity did not show difference between early and late heart transplantrecipients. HR reserve was higher in late compared to early recipients. HR reserve onlycorrelated with peak VO2 in early recipients. Moreover, only late heart transplant recipientsshowed decrease in HR during the recovery period of cardiopulmonary exercise test

Physiological, morphological characteristics and blood profile of female elite Brazilian soccer players according to position

The main goal of this study was to identify the performance parameters and blood profile found among female soccer players. The second aim was to examine if there were any systematic differences between players assigned to different playing positions. Thirty-six players (age: 23.7 ± 3.5 y; weight: 61.9 ± 5.7 kg; height: 165.7± 6.2 cm) underwent a set of laboratory tests (cardiopulmonary exercise test, skinfold measurements, Wingate test, sit-and-reach test, and blood biochemical tests). The following results were verified: maximal oxygen uptake (53±3.9 mL.kg-1.min-1), second ventilatory threshold (11.5 ± 0.8 km.h-1), body fat (14.1 ± 2.9%), Wingate anaerobic test (peak power: 9.5 ± 0.8 w.kg-1; mean power: 7.3 ± 0.4 w.kg-1 and fatigue index: 55.5 ± 4.9%),  flexibility test [sit-and-reach]  (18.1 ± 2.9 cm) and biochemical parameters of blood (Hb:13.9 ± 0.3 g.dL-1; iron: 85.2 ± 12.6 µ.dL-1; calcium: 9.2±0.5 mg.dL-1;  total cholesterol: 204.7 ± 34.7 mg.dL-1; HDL-c: 50.7± 3.6 mg.dL-1; LDL-c: 125.8± 23.3 mg.dL-1; triglycerides: 96.8±18.5 mg.dL-1). In conclusion, the current results indicate that present elite players' physiological characteristics are similar to those previously shown, despite the rapid changes of the female soccer game worldwide. However, data showed that different playing positions had different physiological and anthropometrics differences.

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

The Carvedilol`s Beta-Blockade in Heart Failure and Exercise Training`s Sympathetic Blockade in Healthy Athletes during the Rest and Peak Effort

In recent years, beta-blocker therapy has become a primary pharmacologic intervention in patients with heart failure by blocking the sympathetic activity. To compare the exercise training`s sympathetic blockade in healthy subjects (athletes) and the carvedilol`s sympathetic blockade in sedentary heart failure patients by the evaluation of the heart rate dynamic during an exercise test. A total of 26 optimized and 49 nonoptimized heart failure patients in a stable condition (for, at least, 3 months), 15 healthy athletes and 17 sedentary healthy subjects were recruited to perform a cardiopulmonary exercise test. The heart rate dynamic (rest, reserve, peak and the peak heart rate in relation to the maximum predicted for age) was analyzed and compared between the four groups. The heart rate reserve was the same between optimized (48 +/- 15) and nonoptimized (49 +/- 18) heart failure patients (P < 0.0001). The athletes (188 +/- 9) showed a larger heart rate reserve compared to sedentary healthy subjects (92 +/- 10, P < 0.0001). Athletes and healthy sedentary reached the maximum age-predicted heart ratefor their age, but none of the heart failure patients did. The carvedilol`s sympathetic blockade occurred during the rest and during the peak effort in the same proportion, but the exercise training`s sympathetic blockade in healthy subjects occurred mainly in the rest.CAPES Coordenação de Aperfeiçoamento de Pessoal de Nível Superio

Physical activity profile in heart failure patients from a Brazilian tertiary cardiology hospital

Background: Physical activity (PA) has proven benefits in the primary prevention of heart diseases such as heart failure (HF). Although it is well known, HF PA habits and physicians` advice have been poorly described. The aim of this study was to investigate if physicians were advising HF patients to exercise and to quantify patients` exercise profiles in a complex cardiology hospital. Methods: All 131 HF patients (80 male, average age 53 +/- 10 years, NYHA class I-V, left ventricular ejection fraction 35 +/- 11%, 35 ischemic, 35 idiopatic , 32 hypertensive and 29 with Chagas disease) went to the hospital for a HF routine check-up. On this occasion, after seeing the physician, we asked the patients if the physician had advised them about PA. Then, we asked them to fill in the international physical activity questionnaire (IPQA) Short Form to classify their PA level. Results: Our data showed a significant difference between patients who had received any kind of PA advice from physicians (36%) and those who had not (64%, p<0.0001). Using the IPAQ criteria, of the 36% of patients who had received advice, 12.4% were classified as low and 23.6% as moderate. Of the 64% of patients who did not receive advice, 26.8% were classified as lowand 37.2% as moderate. Etiology (except Chagas), functional class, ejection fraction, sex and age did not influence the PA profile. Conclusions: Physicians at a tertiary cardiology hospital were not giving patients satisfactory advice as to PA. Our data supports the need to strengthen exercise encouragement by physicians and for complementary studies on this area. (Cardiol J 2010; 17, 2: 143-148

Pilates in Heart Failure Patients: A Randomized Controlled Pilot Trial

Background: Conventional cardiac rehabilitation program consist of 15 min of warm-up, 30 min of aerobic exercise and followed by 15 min calisthenics exercise. The Pilates method has been increasingly applied for its therapeutic benefits, however little scientific evidence supports or rebukes its use as a treatment in patients with heart failure (HF). Purpose: Investigate the effects of Pilates on exercise capacity variables in HF. Methods: Sixteen pts with HF, left ventricular ejection fraction 27 +/- 14%, NYHA class III were randomly assigned to conventional cardiac rehabilitation program (n = 8) or mat Pilates training (n = 8) for 16 weeks of 30 min of aerobic exercise followed by 20 min of the specific program. Results: At 16 weeks, pts in the mat Pilates group and conventional group showed significantly increase on exercise time 11.9 +/- 2.5 to 17.8 +/- 4 and 11.7 +/- 3.9 to 14.2 +/- 4 min, respectively. However, only the Pilates group increased significantly the ventilation (from 56 +/- 20 to 69 +/- 17 L/min, P= 0.02), peak VO2 (from 20.9 +/- 6 to 24.8 +/- 6 mL/kg/min, P= 0.01), and O-2 pulse (from 11.9 +/- 2 to 13.8 +/- 3 mL/bpm, P= 0.003). The Pilates group showed significantly increase in peak VO2 when compared with conventional group (24.8 +/- 6 vs. 18.3 +/- 4, P= 0.02). Conclusions: The result suggests that the Pilates method may be a beneficial adjunctive treatment that enhances functional capacity in patients with HF who are already receiving standard medical therapy.Conselho Nacional de Pesquisa (CNPq)Conselho Nacional de Pesquisa (CNPq) [304733/2008-3

Hemodynamic response in one session of strength exercise with and without electrostimulation in heart failure patients: A randomized controlled trial

Background: Studies have investigated the influence of neuromuscular electrostimulation on the exercise/muscle capacity of patients with heart failure (HF), but the hemodynamic overload has never been investigated. The aim of our study was to evaluate the heart rate (HR), systolic and diastolic blood pressures in one session of strength exercises with and without neuromuscular electrostimulation (quadriceps) in HF patients and in healthy subjects. Methods: Ten (50% male) HF patients and healthy subjects performed three sets of eight repetitions with and without neuromuscular electrostimulation randomly, with one week between sessions. Throughout, electromyography was performed to guarantee the electrostimulation was effective. The hemodynamic variables were measured at rest, again immediately after the end of each set of exercises, and during the recovery period. Results: Systolic and diastolic blood pressures did not change during each set of exercises among either the HF patients or the controls. Without electrostimulation: among the controls, the HR corresponding to the first (85 +/- 13 bpm, p = 0.002), second (84 +/- 10 bpm, p < 0.001), third (89 +/- 17, p < 0.001) sets and recuperation (83 +/- 16 bpm, p = 0.012) were different compared to the resting HR (77 bpm). Moreover, the recuperation was different to the third set (0.018). Among HF patients, the HR corresponding to the first (84 +/- 9 bpm, p = 0.041) and third (84 +/- 10 bpm, p = 0.036) sets were different compared to the resting HR (80 +/- 7 bpm), but this increase of 4 bpm is clinically irrelevant to HF. With electrostimulation: among the controls, the HR corresponding to the third set (84 +/- 9 bpm) was different compared to the resting HR (80 +/- 7 bmp, p = 0.016). Among HF patients, there were no statistical differences between the sets. The procedure was well tolerated and no subjects reported muscle pain after 24 hours. Conclusions: One session of strength exercises with and without neuromuscular electrostimulation does not promote a hemodynamic overload in HF patients. (Cardiol J 2011; 18,1: 39-46