Normal EF is explained by divergent effects of LV internal diastolic dimension (LVIDd) and mean wall thickness (MWT) on LV function. Reductions in SR and twist may be part of normal physiological LV adaptation in RFL athletes.

Athlete pre-participation screening is focused on detecting pathological conditions like arrhythmogenic right ventricular cardiomyopathy (ARVC). The diagnosis of ARVC is established by applying the revised 2010 ARVC Task Force Criteria (TFC) that assesses RV structure and function. Some athletes may meet structural TFC without having ARVC but we do not know the consequences for RV function. This study compared RV structural and functional indices in male athletes that meet the structural TFC (MTFC) for ARVC and those that do not (NMTFC). We recruited 214 male elite athletes. All participants underwent 2D, Doppler, tissue Doppler and strain (ε) echocardiography with a focused and comprehensive assessment of the right heart. Athletes were grouped on RV structural data: MTFC n = 34; NMTFC n = 180. Functional data were compared between groups. By selection, MTFC had larger absolute and scaled RV outflow tract (RVOT) diameter compared to NMTFC (P ˂0.05) but these athletes did not develop a proportional increase in the RV inflow dimensions. There was no difference in global conventional RV systolic function between both groups however, there was significantly lower global RV ε in athletes that MTFC which can be explained, in part, by the RVOT dimension.

Our objective was to assess the influence of different levels of exposure to dynamic training on right ventricular (RV) structure, function and mechanics in elite male athletes. We recruited 492 male elite athletes aged between 18 and 30 years old. Athletes were grouped according to their sporting discipline using the Mitchell Classification as Low Dynamic (LD), Moderate Dynamic (MD) or High Dynamic (HD). All participants underwent 2D, Doppler, tissue Doppler and strain (ε) echocardiography with a focused and comprehensive assessment of the right heart. Athletes involved in MD sports had the largest absolute RV chamber size and when scaled to body size RVOT PLAX, RVOT2, RVD1 and RVD3 were larger in HD compared to MD and LD athletes. There were no between group differences in conventional RV functional indices as well as global RV ε (LD: − 23.4 ± 3.1 vs. MD: − 22.7 ± 2.7 vs. HD: − 23.5 ± 2.6, %) and strain rate (P > 0.01). The base to apex ε gradient in the RV septum was lower in the MD athletes compared to HD and LD due to a lower apical septal ε which significantly correlated with absolute RV chamber size. After scaling for body size there was evidence of larger RV cavities in both MD and HD athletes compared to LD athletes. Global RV function, ε and strain rate were not different between groups. MD athletes had lower apical septal ε that contributed to a smaller base-to-apex ε gradient that is partially associated with larger absolute RV chamber dimensions.

Background: Right heart enlargement is common in the athletes' heart phenotype; however, few data exist regarding interpretation of normal athletic adaptation during Preparticipation Cardiac Screening (PCS) of Rugby Football League (RFL) athletes.Echocardiography is utilized during PCS and thus the primary aim of this study was to establish the normal right ventricular (RV) phenotype in elite RFL athletes using standard 2-D echocardiography and myocardial mechanics. The secondary aim was to describe right atrial (RA) structure and function using 2-D echocardiography.Methods: 139 male RFL athletes underwent echocardiographic evaluation of the right heart including RV strain (ɛ) and strain rate (SR) imaging using speckle tracking echocardiography (STE). Nonathletic males were used for comparison and allometric scaling was applied for conventional echocardiographic parameters.Results: Scaled RV dimensions were larger in athletes (P < 0.05) with the exception of the mid-cavity. No differences (P > 0.05) in RV fractional area change (FAC) and RV longitudinal ɛ were observed between groups. Tissue Doppler imaging (TDI)-indexed parameters and global strain rate (SR) were lower (P < 0.05) in athletes with HR and weight found to have co-variance with SR. The RA was larger in athletes (P < 0.001) with no functional difference (P > 0.05) observed by volume assessment.Conclusions: Reduction in SR and indexed TDI are partly associated with lower HR and increased body mass and are likely to represent normal physiological adaptation in RFL athletes. RA enlargement appears proportional to RV enlargement. These data may aid interpretation of normal athletic adaptation during PCS of RFL athletes. K E Y W O R D Sathletes' heart, echocardiography, right heart, strain | 889 FORSYTHE ET al.

IntroductionArrhythmogenic right ventricular cardiomyopathy (ARVC) is an inherited pathology that can increase the risk of sudden death. Current task force criteria for echocardiographic diagnosis do not include new, regional assessment tools which may be relevant in a phenotypically diverse disease. We adopted a systematic review and meta-analysis approach to highlight echocardiographic indices that differentiated ARVC patients and healthy controls.MethodsData was extracted and analysed from prospective trials that employed a case–control design meeting strict inclusion and exclusion as well as a priori quality criteria. Structural indices included proximal RV outflow tract (RVOT1) and RV diastolic area (RVDarea). Functional indices included RV fractional area change (RVFAC), tricuspid annular systolic excursion (TAPSE), peak systolic and early diastolic myocardial velocities (S′ and E′, respectively) and myocardial strain.ResultsPatients with ARVC had larger RVOT1 (mean ± s.d.; 34 vs 28 mm, P < 0.001) and RVDarea (23 vs 18 cm2, P < 0.001) compared with healthy controls. ARVC patients also had lower RVFAC (38 vs 46%, P < 0.001), TAPSE (17 vs 23 mm, P < 0.001), S′ (9 vs 12 cm/s, P < 0.001), E′ (9 vs 13 cm/s, P < 0.001) and myocardial strain (−17 vs −30%, P < 0.001).ConclusionThe data from this meta-analysis support current task force criteria for the diagnosis of ARVC. In addition, other RV measures that reflect the complex geometry and function in ARVC clearly differentiated between ARVC and healthy controls and may provide additional diagnostic and management value. We recommend that future working groups consider this data when proposing new/revised criteria for the echocardiographic diagnosis of ARVC.

Jones type fifth metatarsal fracture is a common occurrence among athletes at all levels. These fractures may occur due to several mechanisms, but inversions and twisting injuries are considered some of the leading causes in sports. However, while Jones fracture incidences are frequent in the sporting world, there is still a lack of consensus on how such fractures should be effectively managed. There are numerous treatment options for patients with fifth metatarsal Jones fractures. The role of nonoperative treatment remains controversial, with concerns about delayed union and nonunion. Surgical stabilization of metatarsal Jones fractures is therefore often recommended for athletes, as it is often associated with a low number of complications and a higher rate of union than nonoperative management. This review will focus on literature regarding the prevalence of Jones type fifth metatarsal fracture, alongside the efficacy of both conservative and surgical treatment within this population.

Sliding pressure control is a well-known method of controlling supercritical power plants that improves energy efficiency and reduces pressure dynamic stresses. This paper presents a novel approach for developing a supercritical cleaner coal power plant’s sliding pressure control strategy. First, using Whale Optimizer, a nonlinear identified transfer matrix model was created (WO). By comparing simulations and errors, the WO clearly outperforms the GA and Grey-Wolf Optimizer (GWO) techniques on parameter identification. The model also includes a multivariable PI/PD controller for improved plant operation. Again, WO controller tuning outperformed GA and GWO in terms of pressure deviations, power deviations, rise time, and fuel usage. It is now argued that the WO is superior to other techniques in modeling and controlling system dynamics, energy efficiency, and cleaner operation.

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