Comparison of dietary patterns and daily food intake across kidney disease stages in England: a-posteriori cluster analysis

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How to assess quality of life in persons with chronic kidney disease

Purpose of review Chronic kidney disease (CKD) significantly impacts many aspects of life, health, and wellbeing. People with CKD have individual priorities for their care which may differ from those valued by clinicians and policy makers. The patient experience is broadly captured by the concept of quality of life (QoL) which is increasing assessed in research and used to guide clinical and policy decision making. Appropriate selection and application of QoL assessment tools are essential for high-quality research and patient care. This article summarises the current approaches to QoL assessment in CKD and outlines aspirations for future improvement.Recent findings Commonly used tools for assessment of QoL in CKD include the Short Form-36 and -12 and extended versions adapted for specific use in kidney patients (KD-QoL), and the EQ-5D. However, a wide range of other instruments are also reported, making comparisons between research findings challenging. Few of the tools are adequately validated for use in CKD, and relevance to patient values are unclear. Instruments suitable for use in a routine clinical setting are lacking.Summary QoL instruments developed and validated with meaningful CKD stakeholder input are required. The Standardised Outcomes in Nephrology initiative is working to address this need.</div

DEVELOPMENT OF A DIGITAL SELF-MANAGEMENT EDUCATION PROGRAMME TO IMPROVE HEALTH BEHAVIOURS IN PEOPLE WITH NON-DIALYSIS CKD

Background and Aims Appropriate disease and healthcare management are key behaviours for health optimisation in people with long-term conditions including CKD. Effective self-management of health requires appropriate knowledge, skills and confidence. Digital health interventions are potentially appealing tools to improve knowledge and self-management behaviours, as well as actively involving individuals in their healthcare, particularly in the post-COVID-19 era. However, the development strategies and processes behind such interventions are poorly defined. Here we describe the systematic development of a digital self-management programme for people living with non-dialysis CKD which includes novel approaches to improving self-management and health behaviours.</p

STEPS, LEAPS and bounds: Is there a recipe for success?

The development of a student identity as it relates to the transition of commencing students to higher education has long been identified in the literature as essential to success. As importantly, the existence of a sense of belonging has been considered key to transition and success and the formation of a student identity. Less prominent in the literature, the newly articulated notion of mattering has evolved from and is currently challenging the concept of student belonging. Mattering offers a broader understanding of what it means to have students in transition believe they are important, that they matter to the institution of study. The notion of mattering resonates strongly with the authors as transition educators. This paper draws on the work of Lizzio (2006) and MacFarlane (2018) to consider the essential ingredients any preparatory course should include to successfully transition underrepresented groups of students to study at the award level. A comparison of the STEPS course in the Australian context to LEAPS in the Scottish context provided avenue to propose a five-tenet framework as a possible recipe for success to best support the transition of an increasingly diverse group of students aspiring to university study. The paper explores the ways in which the courses effectively assist preparatory students develop a foundational student identity which is crucial to successful study in higher education, particularly in the initial stages of engagement. In doing so, it positions the philosophical underpinnings and the pedagogical practices currently adopted by both the STEPS and LEAPS courses as successfully embracing the tenets proposed within the framework

Novel Assessment of Viscoelastic Skeletal Muscle Properties in Chronic Kidney Disease: Association with Physical Functioning

Chronic kidney disease (CKD) is characterised by poor physical function. Mechanical muscle properties such as tone, elasticity, and stiffness influence the functional state of the muscle. Measuring these muscle mechanical properties is difficult and data on CKD are sparse. Using a novel myotonometer device, the aims of this study were to compare the viscoelastic muscle properties in CKD patients with previously reported data and to explore the association with muscle function. Non-dialysis-dependent CKD participants were recruited into a cross-sectional study conducted between 2018 and 2020. Muscle properties (tone, stiffness, elasticity) were assessed using a myotonometer (MyotonPRO). Muscle function was assessed using physical performance tests (sit-to-stand 5 and 60, timed up and go, short physical performance battery, gait speed, incremental shuttle walk, postural sway). General linear regression models were used to explore the association between muscle properties and physical function. Thirty-nine participants were included (age 64.2 (SD: 10.4) years; 51% male; eGFR 40.9 (SD: 20.0) mL/min/1.73 m2). Participants with CKD had reduced muscle tone, stiffness, and elasticity compared to previously reported studies. Muscle tone (B = −0.567, p = 0.003) and muscle stiffness (B = −0.368, p = 0.071) were greater in males than females. Increased BMI was associated with lower muscle tone (B = −0.528, p = 0.002) and muscle stiffness (B = −0.577, p = 0.002). No meaningful nor consistent associations were found between these properties and measures of muscle function and physical performance. In conclusion, using a novel handheld myotonometer, this study found that CKD patients exhibit a reduction in muscle tone, stiffness, and elasticity. In a passive state, these viscoelastic muscle properties showed no consistent associations with physical performance. </p

Diagnostic accuracy of a ‘sarcopenia index’ based on serum biomarkers creatinine and cystatin C in 458,702 UK Biobank participants

Background & AimsThere is an emerging and urgent need to identify biomarkers of sarcopenia. A novel sarcopenia index (SI), based on serum creatinine and cystatin C, has emerged as a potential biomarker for use. The SI can predict clinical outcomes and discriminate between the presence of sarcopenia in a range of chronic and acute conditions. However, the SI has not yet been tested in a large real-world general population dataset. This study aimed to investigate the accuracy of the SI in the identification of sarcopenia in a large prospective general population cohort.MethodsData were taken from UK Biobank, a large prospective epidemiological study in the United Kingdom (UK). Serum creatinine and cystatin C values were used to calculate the SI [creatinine (mg/dl)/cystatin C (mg/dl) × 100]. Probable sarcopenia was defined by maximum handgrip strength (HGS). Muscle mass was assessed using bioelectrical impedance analysis. Low muscle mass was defined as an appendicular lean mass (ALM) index below prespecified thresholds. Confirmed sarcopenia was defined as both low HGS and low muscle mass. Pearson correlation coefficients and logistic regression were used to explore the association between various sarcopenia traits (probable sarcopenia, low ALM index, and confirmed sarcopenia) and the SI. The diagnostic value of the SI was investigated using the area under the receiver operating characteristic curve (area under the curve, AUC).Results458,702 participants were included in the analysis (46.4% males, mean age, males: 68.7 (±8.2) years; females: 68.2 (±8.0) years)). Probable sarcopenia was observed in 4.5% of males and 6.1% of females; low ALM index in 2.8% of males and 0.7% of females; confirmed sarcopenia in 0.3% of males and 0.1% of females. SI was significantly lower in individuals with confirmed sarcopenia (males: 86.3 ±16.6 vs. 99.5 ±15.3, p ConclusionsUsing a large real-world dataset of almost half a million people, our study indicated the SI has acceptable diagnostic accuracy when identifying those with sarcopenia and may be a useful biomarker to aid the stratification of those at risk and in need of intervention.</p

Multimorbidity prevalence and patterns in chronic kidney disease: findings from an observational multicenter UK cohort study

Purpose Multimorbidity [defined as two or more long-term conditions (LTCs)] contributes to increased treatment and medication burden, poor health-related quality of life, and worse outcomes. Management strategies need to be patient centred and tailored depending on existing comorbidities; however, little is known about the prevalence and patterns of comorbidities in people with chronic kidney disease (CKD). We investigated the prevalence of multimorbidity and comorbidity patterns across all CKD stages. Methods Multimorbidity was assessed, using a composite of self-report and clinical data, across four CKD groups stratified by eGFR [stage 1–2, stage 3a&b, stage 4–5, and kidney transplant (KTx)]. Principal component analysis using varimax rotation was used to identify comorbidity clusters across each group. Results Of the 978 participants (mean 66.3 ± 14 years, 60% male), 96.0% had multimorbidity. In addition to CKD, the mean number of comorbidities was 3.0 ± 1.7. Complex multimorbidity (i.e. ≥ 4 multiple LTCs) was identified in 560 (57.3%) participants. When stratified by CKD stage, the two most prevalent comorbidities across all stages were hypertension (> 55%) and musculoskeletal disorders (> 40%). The next most prevalent comorbidity for CKD stages 1–2 was lung conditions and for CKD stages 3 and 4–5 it was heart problems. CKD stages 1–2 showed different comorbidity patterns and clustering compared to other CKD stages. Conclusion Most people across the spectrum of CKD have multimorbidity. Different patterns of multimorbidity exist at different stages of CKD, and as such, clinicians should consider patient comorbidities to integrate care and provide effective treatment strategies.</p

Quantitative muscle ultrasonography using 2D textural analysis: a novel approach to assess skeletal muscle structure and quality in chronic kidney disease

Chronic kidney disease (CKD) is characterized by progressive reductions in skeletal muscle function and size. The concept of muscle quality is increasingly being used to assess muscle health, although the best means of assessment remains unidentified. The use of muscle echogenicity is limited by an inability to be compared across devices. Gray level of co-occurrence matrix (GLCM), a form of image texture analysis, may provide a measure of muscle quality, robust to scanner settings. This study aimed to identify GLCM values from skeletal muscle images in CKD and investigate their association with physical performance and strength (a surrogate of muscle function). Transverse images of the rectus femoris muscle were obtained using B-mode 2D ultrasound imaging. Texture analysis (GLCM) was performed using ImageJ. Five different GLCM features were quantified: energy or angular second moment (ASM), entropy, homogeneity, or inverse difference moment (IDM), correlation, and contrast. Physical function and strength were assessed using tests of handgrip strength, sit to stand-60, gait speed, incremental shuttle walk test, and timed up-and-go. Correlation coefficients between GLCM indices were compared to each objective functional measure. A total of 90 CKD patients (age 64.6 (10.9) years, 44% male, eGFR 33.8 (15.7) mL/minutes/1.73 m2) were included. Better muscle function was largely associated with those values suggestive of greater image texture homogeneity (i.e., greater ASM, correlation, and IDM, lower entropy and contrast). Entropy showed the greatest association across all the functional assessments (r = −.177). All GLCM parameters, a form of higher-order texture analysis, were associated with muscle function, although the largest association as seen with image entropy. Image homogeneity likely indicates lower muscle infiltration of fat and fibrosis. Texture analysis may provide a novel indicator of muscle quality that is robust to changes in scanner settings. Further research is needed to substantiate our findings

Characteristics of effective home-based resistance training exercise in patients with chronic disease: a scoping review protocol

Regular exercise, principally resistance training, is an effective method to promote muscle hypertrophy and attenuate muscle atrophy during various atrophic conditions . There is growing interest in the evaluation of home-based resistance training programmes. These programmes have the potential to overcome common barriers to participation, such as accessibility and affordability. The objective of the scoping review is to map the available evidence to provide an overview of what characteristics, principles, and components are required for an effective home-based resistance training programme in patients with chronic disease. The four specific objectives of the scoping review will be to: 1) conduct a systematic search of the published and grey literature for studies reporting on home-based resistance training in patients with chronic disease; 2) map out the characteristics and range of methodologies (including exercise protocols and outcome measures) used in effective home-based resistance training; 3) examine reported challenges and limitations of home-based resistance training; and 4) propose recommendations for optimizing home-based resistance training protocols in this population.</p

Patient activation and psychological coping strategies to manage challenging circumstances during the COVID-19 pandemic in people with kidney disease

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