255 research outputs found

    Precision medicine in heart failure no longer a visual theory but a realistic opportunity

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    Over the last decades, major advances in the understanding of pathophysiology in a wide spectrum of cardiovascular diseases provided several effective pharmacological and non-pharmacological therapies [1]. Along with novel rehabilitation and follow up strategies, these advances have improved the survival rate of cardiac diseases, globally, and contributed generally to a significant increase in life expectancy [2]. As a consequence, there is a parallel increase of patients suffering from challenging and multifaceted syndromes such as heart failure (HF). HF is a recognised pandemic disease, with a progressively increasing prevalence in the aging population [3]. It is a major public health issue, considering both its social and economic implications. HF patients are characterised by a high level of complexity because of the advanced age and the presence of multiple relevant comorbidities requiring dedicated polytherapy [1]. Therefore, overall mortality of HF patients is still unacceptably high, exceeding that of several neoplasms, carrying a risk of approximately 10% at 12 months from clinical onset [4]

    Connecting the dots: online maps for improved access to information on agricultural research projects

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    COLLECTIVE ACTION NEWS is a periodical e-publication of the CGIAR’s Regional Collective Action in Eastern and Southern Afric

    COMPARISON OF NON-MAXIMAL TESTS FOR ESTIMATING EXERCISE CAPACITY

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    Although maximal incremental exercise tests (GXT) are the gold standard for outcome assessment and exercise prescription, they are not widely available in either fitness or clinical exercise programs. This study compared the prediction of VO2max in healthy, sedentary volunteers using a non-exercise prediction (Matthews et al., 1999), RPE extrapolation to 19 and 20 and the Rockport Walking Test (RWT), and of ventilatory threshold (VT) using the Talk Test and RPE @ 13,14,15. Subjects performed a treadmill GXT with gas exchange, a submaximal treadmill with RPE and Talk Test, the RWT and Matthews. All methods provided reasonable estimates of both VO2max and VT, with correlations of >0.80 and SEE~1.3 METs. VO2max was best estimated with the extrapolation to RPE=19. VT was intermediate between the TT Last Positive and Equivocal stages and between RPE 13 and 14. Non-maximal evaluation can be used in place of maximal GXT with gas exchange to make reasonable estimates of both VO2max and V

    Validation and Performance Comparison of Two Scoring Systems Created Specifically to Predict the Risk of Deep Sternal Wound Infection after Bilateral Internal Thoracic Artery Grafting

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    Background: The Gatti and the bilateral internal mammary artery (BIMA) scores were created to predict the risk of deep sternal wound infection (DSWI) after bilateral internal thoracic artery (BITA) grafting. Methods: Both scores were evaluated retrospectively in two consecutive series of patients undergoing isolated multi-vessel coronary surgical procedures - i.e., the Trieste (n = 1,122; BITA use, 52.1%; rate of DSWI, 5.7%) and the Besan\ue7on cohort (n = 721; BITA use, 100%; rate of DSWI, 2.5%). Baseline patient characteristics were compared between the two validation samples. For each score, the accuracy of prediction and predictive power were assessed by the area under the receiver-operating characteristic curve (AUC) and the Goodman-Kruskal gamma coefficient, respectively. Results: There were significant differences between the two series in terms of age, gender, New York Heart Association functional class, chronic lung disease, left ventricular function, surgical priority, and the surgical techniques used. In the Trieste series, accuracy of prediction of the Gatti score for DSWI was higher than that of the BIMA score (AUC, 0.729 vs. 0.620, p = 0.0033). The difference was not significant, however, in the Besan\ue7on series (AUC, 0.845 vs. 0.853, p = 0.880) and when only BITA patients of the Trieste series were considered for analysis (AUC, 0.738 vs. 0.665, p = 0.157). In both series, predictive power was at least moderate for the Gatti score and low for the BIMA score. Conclusions: The Gatti and the BIMA scores seem to be useful for pre-operative evaluation of the risk of DSWI after BITA grafting. Further validation studies should be performed

    Workload accomplished in phase III cardiac rehabilitation

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    Exercise training is an important component of clinical exercise programs. Although there are recognized guidelines for the amount of exercise to be accomplished (≥70,000 steps per week or ≥150 min per week at moderate intensity), there is virtually no documentation of how much exercise is actually accomplished in contemporary exercise programs. Having guidelines without evidence of whether they are being met is of limited value. We analyzed both the weekly step count and the session rating of perceived exertion (sRPE) of patients (n = 26) enrolled in a community clinical exercise (e.g., Phase III) program over a 3-week reference period. Step counts averaged 39,818 ± 18,612 per week, with 18% of the steps accomplished in the program and 82% of steps accomplished outside the program. Using the sRPE method, inside the program, the patients averaged 162.4 ± 93.1 min per week, at a sRPE of 12.5 ± 1.9 and a frequency of 1.8 ± 0.7 times per week, for a calculated exercise load of 2042.5 ± 1244.9 AU. Outside the program, the patients averaged 144.9 ± 126.4 min, at a sRPE of 11.8 ± 5.8 and a frequency of 2.4 ± 1.5 times per week, for a calculated exercise load of 1723.9 ± 1526.2 AU. The total exercise load using sRPE was 266.4 ± 170.8 min per week, at a sRPE of 12.6 ± 3.8, and frequency of 4.2 ± 1.1 times per week, for a calculated exercise load of 3359.8 ± 2145.9 AU. There was a non-linear relationship between steps per week and the sRPE derived training load, apparently attributable to the amount of non-walking exercise accomplished in the program. The results suggest that patients in a community clinical exercise program are achieving American College of Sports Medicine guidelines, based on the sRPE method, but are accomplishing less steps than recommended by guidelines

    Iperpotassiemia nello scompenso cardiaco: nuove soluzioni per un vecchio problema

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    Il potassio \ue8 il principale ione intracellulare e la sua omeostasi \ue8 finemente regolata dall\u2019apparato renale e gastrointestinale. L\u2019insufficienza renale e l\u2019iperpotassiemia sono condizioni di comune riscontro nei pazienti con scompenso cardiaco, risultato di una complessa interazione tra cuore e rene (es. sindrome cardio-renale) e degli effetti collaterali dei farmaci comunemente impiegati per il trattamento della malattia cardiaca (es. inibitori del sistema renina-angiotensina-aldosterone). Sebbene l\u2019iperpotassiemia incrementi il rischio di disturbi di conduzione ed aritmie minacciose per la vita, il suo significato prognostico nello scompenso cardiaco \ue8 incerto. L\u2019iperpotassiemia e la progressione del danno renale costituiscono i principali limiti all\u2019introduzione e alla titolazione delle terapie eziologiche dello scompenso cardiaco. L\u2019ingresso in commercio di nuovi farmaci per la prevenzione e il trattamento cronico dell\u2019iperpotassiemia permette di introdurre e modulare la terapia anti-neurormonale in pazienti con scompenso cardiaco altrimenti esclusi per i livelli di potassio sierico eccessivamente elevati. Questa rassegna tratta gli aspetti fisiopatologici ed epidemiologico-prognostici dell\u2019iperpotassiemia, offrendo, inoltre, un\u2019analisi sulle possibili strategie di trattamento della disionia nello scompenso cardiaco

    Pericardiectomy for constrictive pericarditis: a risk factor analysis for early and late failure

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    Predictors of early and late failure of pericardiectomy for constrictive pericarditis (CP) have not been established. Early and late outcomes of a cumulative series of 81 (mean age 60\ua0years; mean EuroSCORE II, 3.3%) consecutive patients from three European cardiac surgery centers were reviewed. Predictors of a combined endpoint comprising in-hospital death or major complications (including multiple transfusion) were identified with binary logistic regression. Non-parametric estimates of survival were obtained with the Kaplan\u2013Meier method. Predictors of poor late outcomes were established using Cox proportional hazard regression. There were 4 (4.9%) in-hospital deaths. Preoperative central venous pressure > 15\ua0mmHg (p = 0.005) and the use of cardiopulmonary bypass (p = 0.016) were independent predictors of complicated in-hospital course, which occurred in 29 (35.8%) patients. During follow-up (median, 5.4\ua0years), preoperative renal impairment was a predictor of all-cause death (p = 0.0041), cardiac death (p = 0.0008), as well as hospital readmission due to congestive heart failure (p = 0.0037); while partial pericardiectomy predicted all-cause death (p = 0.028) and concomitant cardiac operation predicted cardiac death (p = 0.026), postoperative central venous pressure < 10\ua0mmHg was associated with a low risk both of all-cause and cardiac death (p < 0.0001 for both). Ten-year adjusted survival free of all-cause death, cardiac death, and hospital readmission were 76.9%, 94.7%, and 90.6%, respectively. In high-risk patients with CP, performing pericardiectomy before severe constriction develops and avoiding cardiopulmonary bypass (when possible) could contribute to improving immediate outcomes post-surgery. Complete removal of cardiac constriction could enhance long-term outcomes

    Influence of thermal conductivity on the dynamic response of magnetocaloric materials

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    We compare the magnetocaloric effect of samples prepared with different thermal conductivities to investigate the potential of composite materials. By applying the magnetic field under operating conditions we test the material’s response and compare this to heat transfer simulations in order to check the reliability of the adiabatic temperature change probe used. As a result of this study we highlight how the material’s thermal conductivity influences τ , the time constant of temperature change. This parameter ultimately limits the maximum frequency of a refrigerant cycle and offers fundamental information about the correlation between thermal conductivity and the magnetocaloric effect
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