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Background: After its introduction in the ICD-10-CM in 2016, sarcopenia is a condition widely considered to be a medical disease with important consequences for the elderly. Considering its high prevalence in older adults and its detrimental effects on health, it is essential to identify its risk factors to inform targeted interventions. Methods: Taking data from wave 2 of the ELSA, using ML-based methods, this study investigates which factors are significantly associated with sarcopenia. The Minimum Redundancy Maximum Relevance algorithm has been used to allow for an optimal set of features that could predict the dependent variable. Such a feature is the input of a ML-based prediction model, trained and validated to predict the risk of developing or not developing a disease. Results: The presented methods are suitable to identify the risk of acquired sarcopenia. Age and other relevant features related with dementia and musculoskeletal conditions agree with previous knowledge about sarcopenia. The present classifier has an excellent performance since the "true positive rate" is 0.81 and the low "false positive rate" is 0.26. Conclusions: There is a high prevalence of sarcopenia in elderly people, with age and the presence of dementia and musculoskeletal conditions being strong predictors. The new proposed approach paves the path to test the prediction of the incidence of sarcopenia in older adults. [ABSTRACT FROM AUTHOR]

Background: Chronic kidney disease (CKD) is linked to an increased cardiovascular disease (CVD) burden. Albeit underappreciated, sex differences are evident in CKD with females being more prone to CKD development, but males progressing more rapidly to kidney failure (KF). Cardiovascular remodelling is a hallmark of CKD with increased arterial and valvular calcification contributing to CKD. However, little is known regarding sex differences in calcific cardiovascular remodelling in KF patients. Thus, we hypothesise that sex differences are present in coronary artery calcification (CAC) and aortic valve calcification (AVC) in patients with KF. Methods: KF patients, males (n = 214) and females (n = 107), that had undergone computer tomography (CT) assessment for CAC and AVC were selected from three CKD cohorts. All patients underwent non-contrast multi-detector cardiac CT scanning, with CAC and AVC scoring based on the Agatston method. Baseline biochemical measurements were retrieved from cohort databases, including plasma analyses for inflammation markers (IL-6, TNF, hsCRP) and oxidative stress by skin autofluorescence measuring advanced glycation end-products (AGE), amongst other variables. Results: Sex-disaggregated analyses revealed that CAC score was associated with age in both males and females (both p < 0.001). Age-adjusted analyses revealed that in males CAC was associated with diabetes mellitus (DM) (p = 0.018) and CVD (p = 0.011). Additionally, for females CAC associated with IL-6 (p = 0.005) and TNF (p = 0.004). In both females and males CAC associated with AGE (p = 0.042 and p = 0.05, respectively). CAC was associated with mortality for females (p = 0.015) independent of age. AVC in females was not reviewed due to low AVC-positive samples (n = 14). In males, in multivariable regression AVC was associated with age (p < 0.001) and inflammation, as measured by IL-6 (p = 0.010). Conclusions: In female KF patients inflammatory burden and oxidative stress were associated with CAC. Whereas in male KF patients oxidative stress and inflammation were associated with CAC and AVC, respectively. Our findings suggest a sex-specific biomarker signature for cardiovascular calcification that may affect the development of cardiovascular complications in males and females with KF. Plain language summary: Chronic kidney disease (CKD) is a condition that affects the kidneys and increases the risk of heart problems. Males and females may experience CKD differently, and our study aimed to understand the differences in the development of calcification in the blood vessels of the heart (coronary artery calcification, or CAC) and the heart valves (aortic valve calcification, or AVC) between males and females with CKD. We analysed 214 males and 107 females with CKD who had undergone a heart scan (computer tomography, or CT) to measure CAC and AVC. We collected information on age, diabetes, cardiovascular disease, and markers of inflammation and oxidative stress. Our results showed that in both males and females CAC was associated with age. In males, CAC was associated with diabetes and cardiovascular disease, while in females, it was linked to markers of inflammation. In females, CAC was also associated with mortality regardless of age. Unfortunately, we had insufficient samples of females with AVC for analysis. However, in males AVC was associated with age and inflammation. Overall, our study indicates sex-specific differences in the development of calcification in the blood vessels and heart valves of CKD patients. In females, inflammation and oxidative stress are associated with CAC, while in males, oxidative stress and inflammation are associated with CAC and AVC, respectively. These findings underscore the importance of considering these differences when assessing cardiovascular complications in CKD patients. It may help in developing personalised treatment approaches for both males and females with CKD. Highlights: The gold standard technique of computer-tomography was used to measure coronary artery calcification (CAC) and aortic valve calcification (AVC) scores in males and females with kidney failure. In male kidney failure patients age and inflammatory burden was significantly associated with AVC. In addition, cardiovascular disease, diabetes, and oxidative stress were significantly associated with CAC score. In female kidney failure patients age, oxidative stress, and inflammation were significantly associated with CAC score. Cardiovascular calcification presents with a sex-specific biomarker signature that may affect cardiovascular complications in males and females with kidney failure. [ABSTRACT FROM AUTHOR]

It has been more than 200 years since James Parkinson made the first descriptions of the disease that bears his name. Since then, knowledge about Parkinson's disease has been improved, and its pathophysiology, diagnosis, and treatments are well described in the scientific and medical literature. However, there is no way to prevent the disease from its progressive nature yet and only its symptoms can be minimized. It is known that the process of neurodegeneration begins before the onset of motor signs and symptoms of the disease, when diagnosis is usually made. Therefore, recognizing manifested non-motor symptoms can make an early diagnosis possible and lead to a better understanding of the disease. Autonomic dysfunctions are important non-motor manifestations of Parkinson's disease and affect the majority of patients. Importantly, heart failure is the third leading cause of death in people suffering from Parkinson's disease. Several evidences have shown the correlation between Parkinson's disease and the preexistence of cardiovascular diseases. Therefore, cardiovascular monitoring and identification of its dysfunctions can have a prodromal role for Parkinson's disease. This review presents studies of the literature that can lead to a better understanding of Parkinson's disease with special attention to its relation to heart and cardiovascular parameters. [ABSTRACT FROM AUTHOR]