BackgroundCKD is associated with several comorbidities, cardiovascular disease being the most significant. Aerobic training has a beneficial effect on cardiovascular health in healthy and some well-defined non-healthy populations. However, the effect of aerobic training on glomerular filtration rate in patients with CKD stages 3–4 is unclear.ObjectiveTo review the effects of aerobic exercise training on kidney and cardiovascular function in patients with chronic kidney disease (CKD) stages 3–4.MethodsA random-effects meta-analysis was performed to analyse published randomized controlled trials through February 2018 on the effect of aerobic training on estimated glomerular filtration rate, blood pressure and exercise tolerance in patients with CKD stages 3–4. Web of Science, PubMed and Embase databases were searched for eligible studies.Results11 randomized controlled trials were selected including 362 participants in total. Favourable effects were observed on estimated glomerular filtration rate (+2.16 ml/min per 1.73m2; [0.18; 4.13]) and exercise tolerance (+2.39 ml/kg/min; [0.99; 3.79]) following an on average 35-week aerobic training program when compared to standard care. No difference in change in blood pressure was found.ConclusionsThere is a small beneficial effect of aerobic training on estimated glomerular filtration rate and exercise tolerance, but not on blood pressure, in patients with CKD stages 3–4. However, data are limited and pooled findings were rated as of low to moderate quality.

Purpose

Background: Impaired physical function due to muscle weakness and exercise intolerance reduces the ability to perform activities of daily living in patients with end-stage kidney disease, and by consequence, Health-Related Quality of Life (HRQoL). Furthermore, the risk of falls is an aggregate of physical function and, therefore, could be associated with HRQoL as well. The present study examined the associations between objective and subjective measures of physical function, risk of falls and HRQoL in haemodialysis patients. Methods: This cross-sectional multicentre study included patients on maintenance haemodialysis. Physical function (quadriceps force, handgrip force, Sit-to-Stand, and six-minute walking test), the risk of falls (Tinetti, FICSIT-4, and dialysis fall index) and HRQoL (PROMIS-29 and EQ-5D-3 L) were measured and analysed descriptively, by general linear models and logistic regression. Results: Of the 113 haemodialysis patients (mean age 67.5 ± 16.1, 57.5% male) enrolled, a majority had impaired quadriceps force (86.7%) and six-minute walking test (92%), and an increased risk of falls (73.5%). Whereas muscle strength and exercise capacity were associated with global HRQoL (R 2 = 0.32) and the risk of falls, the risk of falls itself was related to psycho-social domains (R 2 = 0.11) such as depression and social participation, rather than to the physical domains of HRQoL. Objective measures of physical function were not associated with subjective fatigue, nor with subjective appreciation of health status. Conclusions: More than muscle strength, lack of coordination and balance as witnessed by the risk of falls contribute to social isolation and HRQoL of haemodialysis patients. Mental fatigue was less common than expected, whereas, subjective and objective physical function were decreased.

A beneficial effect of physical activity on cognitive functioning is supposed, although to a certain extent, literature remains inconsistent. Furthermore, the mediating effect of aerobic fitness on this association remains unclear,

Rigorous glycaemic control -reflected by low HbA1c goals -is of utmost importance in the prevention and management of complications in patients with type 1 diabetes mellitus (T1DM). However, previous studies suggested that short-term glycaemic variability (GV) is important to consider as well, as excessive glucose fluctuations may have an additional impact on the development of diabetic complications. The potential relationship between GV and the risk for cardiovascular autonomic neuropathy (CAN), a clinical expression of cardiovascular autonomic dysfunction, is of increasing interest. This systematic review aimed to summarize existing evidence concerning the relationship between GV and cardiovascular autonomic dysfunction in T1DM.Electronic database search of Medline (Pubmed), Web of Science and Embase was performed, up to October 2019. There were no limits concerning year of publication. Methodological quality was evaluated with the Newcastle Ottawa Scale for observational studies. Six studies (four cross-sectional and two prospective cohorts) were included. Methodological quality of the studies varied from level C to A2. Two studies examined the association between GV and heart rate variability (HRV) and both found significant negative correlations.Regarding cardiovascular autonomic reflex tests (CARTs), two studies did not while two other studies did find significant associations between GV parameters and CART-scores. However, associations were attenuated after adjusting for covariates such as HbA1c, age and disease duration. In conclusion, this systematic review found some preliminary evidence supporting an association between GV and cardiovascular autonomic dysfunction in T1DM. Hence, uncertainty remains whether high GV can independently contribute to the onset or progression of CAN. The heterogeneity in methodological approach made it difficult to compare different studies. Future studies should therefore use uniformly evaluated CGM-derived parameters of GV, while standardised assessment of HRV, CARTs and other potential cardiac autonomic function parameters is needed for an unambiguous definition of CAN. KEYWORDSType 1 diabetes • Complications • Glycaemic variability • Cardiovascular autonomic dysfunction • Cardiovascular autonomic neuropathy • Cardiovascular reflex tests • Heart rate variability ABBREVIATIONS This article is protected by copyright. All rights reserved. BRS Baroreflex sensitivity CAN Cardiovascular autonomic neuropathy CART Cardiovascular autonomic reflex test CGM Continuous glucose monitoring CONGA Continuous overlap net glycaemic action COV Coefficient of variation DAN Diabetic autonomic neuropathy DCCT Diabetes Control and Complications Trial GV Glycaemic variability HBGI High blood glucose index HRV Heart rate variability LBGI Low blood glucose index MBG Mean blood glucose MAG Mean absolute glucose difference MAGE Mean amplitude of glycaemic excursions MODD Mean of daily differences SDT Total standard deviation of glucose values T1DM Type 1 diabetes mellitus RESEARCH IN CONTEXT BOXWha...

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