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BackgroundHigher-protein (HP) diets are advocated for several reasons, including mitigation of sarcopenia, but their effects on kidney function are unclear.ObjectiveThis meta-analysis was conducted to determine the effect of HP intakes on kidney function in healthy adults.MethodsWe conducted a systematic review and meta-analysis of trials comparing HP (≥1.5 g/kg body weight or ≥20% energy intake or ≥100 g protein/d) with normal- or lower-protein (NLP; ≥5% less energy intake from protein/d compared with HP group) intakes on kidney function. Medline and EMBASE databases were searched. Randomized controlled trials comparing the effects of HP with NLP (>4 d duration) intakes on glomerular filtration rate (GFR) in adults without kidney disease were included.ResultsA total of 2144 abstracts were reviewed, with 40 articles selected for full-text review; 28 of these were analyzed and included data from 1358 participants. Data were analyzed using random-effects meta-analysis (RevMan 5; The Cochrane Collaboration), meta-regression (STATA; StataCorp), and dose-response analysis (Prism; GraphPad). Analyses were conducted using postintervention (post) GFR and the change in GFR from preintervention to post. The post-only comparison showed a trivial effect for GFR to be higher after HP intakes [standardized mean difference (SMD): 0.19; 95% CI: 0.07, 0.31; P = 0.002]. The change in GFR did not differ between interventions (SMD: 0.11; 95% CI: −0.05, 0.27; P = 0.16). There was a linear relation between protein intake and GFR in the post-only comparison (r = 0.332, P = 0.03), but not between protein intake and the change in GFR (r = 0.184, P = 0.33). The main limitation of the current analysis is the unclear risk of selection bias of the included trials.ConclusionsPostintervention GFR comparisons indicate that HP diets result in higher GFRs; however, when changes in GFR were compared, dietary protein had no effect. Our analysis indicates that HP intakes do not adversely influence kidney function on GFR in healthy adults.

Background: Electronic health (e-health) tools may support patients' self-management of chronic kidney disease. We aimed to identify preferences of patients with chronic kidney disease, caregivers and health care providers regarding content and features for an e-health tool to support chronic kidney disease self-management. Methods: A patient-oriented research approach was taken, with 6 patient partners (5 patients and 1 caregiver) involved in study design, data collection and review of results. Patients, caregivers and clinicians from across Canada participated in a 1-day consensus workshop in June 2018. Using personas (fictional characters) and a cumulative voting technique, they identified preferences for content for 8 predetermined topics (understanding chronic kidney disease, diet, finances, medication, symptoms, travel, mental and physical health, work/school) and features for an e-health tool. Results: There were 24 participants, including 11 patients and 6 caregivers, from across Canada. The following content suggestions were ranked the highest: basic information about kidneys, chronic kidney disease and disease progression; reliable information on diet requirements for chronic kidney disease and comorbidities, renal-friendly foods; affordability of medication, equipment, food, financial resources and planning; common medications, adverse effects, indications, cost and coverage; symptom types and management; travel limitations, insurance, access to health care, travel checklists; screening and supports to address mental health, cultural sensitivity, adjusting to new normal; and support to help integrate at work/school, restrictions. Preferred features included visuals, the ability to enter and track health information and interact with health care providers, "on-the-go" access, links to resources and access to personal health information. Interpretation: A consensus workshop developed around personas was successful for identifying detailed subject matter for 8 predetermined topic areas, as well as preferred features to consider in the codevelopment of a chronic kidney disease self-management e-health tool. The use of personas could be applied to other applications in patient-oriented research exploring patient preferences and needs in order to improve care and relevant outcomes.