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Fatigue is a phenomenon associated with decreases in both physical and cognitive performances and increases in injury occurrence. Competitive athletes are required to complete demanding training programs with high workloads to elicit the physiological and musculoskeletal adaptations plus skill acquisition necessary for performance. High workloads, especially sudden rapid increases in training loads, are associated with the occurrence of fatigue. At present, there is limited evidence elucidating the underlying mechanisms associating the fatigue generated by higher workloads and with an increase in injury risk. The multidimensional nature and manifestation of fatigue have led to differing definitions and dichotomies of the term. Consequently, a plethora of physiological, biochemical, psychological and performance markers have been proposed to measure fatigue and recovery. Those include self-reported scales, countermovement jump performance, heart rate variability, and saliva and serum biomarker analyses. The purpose of this review is to provide an overview of fatigue and recovery plus methods of assessments.The number of dementia cases continues to increase with Alzheimer's disease as the leading cause. The diagnostic workup of Alzheimer's dementia is complex, and its clinical relevance debatable considering the current lack of disease-modifying treatments. From this perspective, a stepwise diagnostic approach is recommended. Whenever Alzheimer's dementia is suspected, a patient' history a physical and psychiatric examination, neuropsychological tests, routine blood tests and standard cerebral imaging should be conducted. This allows in many cases a diagnosis to be given. In cases remaining unclear, modern biomarker tests are proving increasingly useful. Knowledge of the diagnosis is pivotal for the patients to assess the prognosis, to enable them to make plans for their future and to get access to available treatment. The approval of aducanumab in the USA and other promising monoclonal antibodies currently in phase 3-trials as well as the development of blood biomarkers give us hope for the future.
Neutralizing monoclonal antibodies (mAB) against SARS-CoV-2 reduce the severity of COVID-19 in patients with risk factors. Early administration at the onset of infection is critical for their efficacy. At this early stage of the disease, family physicians are often the first help for patients and thus central to the further course of the disease. To date, however, mAB have only rarely been used in general practice. The purpose of this case series is to demonstrate that the administration of mAB is safely feasible in the primary care setting.
We report seven cases at risk for severe COVID-19. Two of them were not vaccinated, five had drug induced immunosuppression, and one patient was at high risk because of trisomy-21. All patients were successfully treated with the mAB Sotrovimab in a GP's practice in January/ February 2022. Two patients were treated making a house call. Based on the cases, clinical information and a hands-on handling of this therapy are described.
Neutralizing mAB can be administered safely and with manageable effort in primary care setting and can help prevent a severe course and hospitalization in patients with COVID-19 and risk factors.
Neutralizing mAB can be administered safely and with manageable effort in primary care setting and can help prevent a severe course and hospitalization in patients with COVID-19 and risk factors.Computed tomography (CT) imaging of the heart requires specific equipment and protocols in order to synchronize image generation with the electrocardiogram (ECG), usually achieved via ECG-gated reconstruction or ECG-triggered acquisition. The main application of cardiac CT is coronary artery imaging. Contrast-enhanced coronary artery CT allows the identification and rule-out of stenoses and is a diagnostic approach to patients with suspected chronic coronary artery disease or acute chest pain, provided that patient characteristics are associated with a high likelihood of fully diagnostic image quality. In addition, CT has the potential to visualize coronary atherosclerotic plaque, even if non-obstructive, and data suggest that this may be a valuable guide towards more intensive risk modification strategy such as statin therapy. In recent years, the use of CT imaging to guide structural heart interventions has become another important application, and many interventions, such as transcatheter aortic valve implantation, substantially depend on CT imaging to plan the procedure, minimize risks, and optimize outcome.Cardiac nuclear medicine comprises various diagnostic techniques using radiopharmaceuticals for functional imaging in vivo. This article provides an overview of current clinical use of cardiac imaging in nuclear medicine in Germany Myocardial perfusion imaging using SPECT is a well-established noninvasive tool to semi-quantitatively measure left ventricular myocardial perfusion. Ischemia and chronic myocardial scars can be idenified with a high diagnostic accuracy. Gated SPECT enables measuring left ventricular function. With new dedicated solid-state camera systems examinations have become faster and better while radiation exposure has been minimized. These new camera systems allow quantitative calculations of myocardial blood flow, which will further improve diagnostic accuracy.For patients with severe chronic coronary artery disease and myocardial dysfunction analyzing myocardial viability is crucial for guiding therpeutic decisions. For detection of hibernating myocardium and its differentiation from scardicine non-invasively allow visualization and function analysis of biological processes and are essential for diagnosis finding and therapy guidance. The continuous advancement of diagnostic tools makes nuclear cardiology a highly relevant and interesting field.Cardiovascular magnetic resonance (CMR) has become an accepted method for noninvasive imaging in cardiology. As part of a multimodality concept, this method can contribute valuable diagnostic aspects, often even as a first-choice method in a variety of diseases. Currently the availability is still limited, but the increasing time efficiency, technical stability and the growing competence will lead to more guideline-compliant use. The increase of CMR inclusion into guidelines of various societies is mainly based on the unique selling point of CMR, which is noninvasive myocardial tissue differentiation. In addition to efficient ischemia diagnosis, the ability to differentiate active from chronic inflammatory processes as well as the identification of reversible and irreversible damage are some aspects CMR can offer. New developments are sequences which allow for a parametric assessment of myocardial tissue based on T1- and T2-relaxation times. This is especially useful if the exact pathophysiology is unclear, as it is often the case in left ventricular hypertrophy for example. Next to the noninvasive myocardial tissue characterization CMR allows for quantitative hemodynamic assessment of the heart and the related pathologies. AP-III-a4 mouse Flows as well as gradients can be quantified based on 2D-flow-sequences. New 4D-sequences are aiming to further characterize blood flow in the heart and the great vessels beyond flow volume and gradients. As with any diagnostic method a qualified application is crucial. In recent years, the technique itself has become much more stable and consensus recommendations of the Society for Cardiovascular Magnetic Resonance are available for the main indications, both for the MRI scan procedure and for the evaluation. Appropriate qualifications and certification opportunities are offered both nationally and internationally.Functional diagnostics by rational echocardiography are the base of a verifiable and reliable analysis of ventricular and valvular function. The most important functional parameters in echocardiography are cardiac volumes - especially total and effective left ventricular stroke volume -, global longitudinal strain, effective orifica areas in valvular stenoses and effective regurgitant volumes, regurgitant fraction and regurgitant orifice areas in valvular regurgitations. Standardized documentation and correct measurements are the prerequisites for accurate echocardiographic estimations. In addition, optimization of image quality supports the correctness of measurements to ensure plausibility of hemodynamics in each individual patient. However, measurements of cardiac volumes by planimetry are error-prone. In addition, calculation of the effective orifice areas using the continuity equation needs methodological accuracy and standardization. Finally, assessment of regurgitant volumes, regurgitant fraction, and regurgitant orifice is often inconsistent with stable hemodynamic conditions - especially by functional assessment the 2D-PISA method. Thus, functional diagnostics by echocardiography in valvular heart diseases should focus on a plausible hemodynamic assessment.Coronavirus disease 2019 (COVID-19) is characterized by a wide clinical spectrum that includes abnormalities in liver function indicative of liver damage. Conversely, people with liver diseases are at higher risk of severe COVID-19. In the current review, we summarize first the epidemiologic evidence describing the bidirectional relationship between COVID-19 and liver function/liver diseases. Additionally, we present the most frequent histologic findings as well as the most important direct and indirect mechanisms supporting a COVID-19 mediated liver injury. Furthermore, we focus on the most frequent liver disease in the general population, non-alcoholic or metabolic-associated fatty liver disease (NAFLD/MAFLD), and describe how COVID-19 may affect NAFLD/MAFLD development and progression and conversely how NAFLD/MAFLD may further aggravate a COVID-19 infection. Finally, we present the long-term consequences of the pandemic on the development and management of NAFLD.A highly variable clinical course, immune dysfunction, and a complex genetic blueprint pose challenges for treatment decisions and the management of risk of infection in patients with chronic lymphocytic leukemia (CLL). In recent years, the use of machine learning (ML) technologies has made it possible to attempt to untangle such heterogeneous disease entities. In this study, using 3 classes of variables (international prognostic index for CLL [CLL-IPI] variables, baseline [para]clinical data, and data on recurrent gene mutations), we built ML predictive models to identify the individual risk of 4 clinical outcomes death, treatment, infection, and the combined outcome of treatment or infection. Using the predictive models, we assessed to what extent the different classes of variables are predictive of the 4 different outcomes, within both a short-term 2-year outlook and a long-term 5-year outlook after CLL diagnosis. By adding the baseline (para)clinical data to CLL-IPI variables, predictive performance was improved, whereas no further improvement was observed when including the data on recurrent genetic mutations. We discovered 2 main clusters of variables predictive of treatment and infection. Further emphasizing the high mortality resulting from infection in CLL, we found a close similarity between variables predictive of infection in the short-term outlook and those predictive of death in the long-term outlook. We conclude that at the time of CLL diagnosis, routine (para)clinical data are more predictive of patient outcome than recurrent mutations. Future studies on modeling genetics and clinical outcome should always consider the inclusion of several (para)clinical data to improve performance.