A Qualitative Study of Facilitators and Barriers to Self-Management of CKD.

2022

46-55

2022 Jan

2468-0249

<p><strong>Introduction: </strong>Self-management is an integral component of CKD treatment. Nevertheless, many patients with CKD do not adequately engage in self-management behaviors, and little is known on the underlying reasons. We aimed to identify and describe the factors that influence self-management behaviors from the perspective of adults with CKD.</p>

<p><strong>Methods: </strong>We conducted 30 semistructured interviews with adults with CKD stage 3 or 4 from an academic nephrology clinic in the United States. Interviews were analyzed thematically.</p>

<p><strong>Results: </strong>The following are the 3 key phases of CKD self-management behavior engagement identified: (i) prioritization, (ii) performance, and (iii) maintenance. Prioritization was favorably influenced by optimism, stress management, and patient-provider communication and hampered by fatalism and competing priorities. Behavior performance was facilitated by motivating factors, self-efficacy, and support resources and impeded by comorbid conditions that caused treatment burden and adverse symptoms. Behavior maintenance relied on effective routines, influenced by similar factors as behavior performance, and reinforced by memory aids, goal setting, self-monitoring, and proactive preparation.</p>

<p><strong>Conclusion: </strong>We identified modifiable facilitators and barriers that influence the incorporation of CKD self-management into daily life. Our findings have important implications for the care of patients with CKD by providing a framework for providers to develop effective, tailored approaches to promote self-management engagement.</p>

10.1016/j.ekir.2021.10.021

Kidney Int Rep

35005313

Association of Multiple Plasma Biomarker Concentrations with Progression of Prevalent Diabetic Kidney Disease: Findings from the Chronic Renal Insufficiency Cohort (CRIC) Study.

2021

115-126

2021 01

1533-3450

<p><strong>BACKGROUND: </strong>Although diabetic kidney disease is the leading cause of ESKD in the United States, identifying those patients who progress to ESKD is difficult. Efforts are under way to determine if plasma biomarkers can help identify these high-risk individuals.</p>

<p><strong>METHODS: </strong>In our case-cohort study of 894 Chronic Renal Insufficiency Cohort Study participants with diabetes and an eGFR of &lt;60 ml/min per 1.73 m at baseline, participants were randomly selected for the subcohort; cases were those patients who developed progressive diabetic kidney disease (ESKD or 40% eGFR decline). Using a multiplex system, we assayed plasma biomarkers related to tubular injury, inflammation, and fibrosis (KIM-1, TNFR-1, TNFR-2, MCP-1, suPAR, and YKL-40). Weighted Cox regression models related biomarkers to progression of diabetic kidney disease, and mixed-effects models estimated biomarker relationships with rate of eGFR change.</p>

<p><strong>RESULTS: </strong>Median follow-up was 8.7 years. Higher concentrations of KIM-1, TNFR-1, TNFR-2, MCP-1, suPAR, and YKL-40 were each associated with a greater risk of progression of diabetic kidney disease, even after adjustment for established clinical risk factors. After accounting for competing biomarkers, KIM-1, TNFR-2, and YKL-40 remained associated with progression of diabetic kidney disease; TNFR-2 had the highest risk (adjusted hazard ratio, 1.61; 95% CI, 1.15 to 2.26). KIM-1, TNFR-1, TNFR-2, and YKL-40 were associated with rate of eGFR decline.</p>

<p><strong>CONCLUSIONS: </strong>Higher plasma levels of KIM-1, TNFR-1, TNFR-2, MCP-1, suPAR, and YKL-40 were associated with increased risk of progression of diabetic kidney disease; TNFR-2 had the highest risk after accounting for the other biomarkers. These findings validate previous literature on TNFR-1, TNFR-2, and KIM-1 in patients with prevalent CKD and provide new insights into the influence of suPAR and YKL-40 as plasma biomarkers that require validation.</p>

10.1681/ASN.2020040487

J Am Soc Nephrol

33122288

Effect of Kidney Function on Relationships between Lifestyle Behaviors and Mortality or Cardiovascular Outcomes: A Pooled Cohort Analysis.

2021

663-675

2021 Mar

1533-3450

<p><strong>BACKGROUND: </strong>Adherence to healthy behaviors reduces risks of cardiovascular disease and death in the general population. However, among people with kidney disease, a group at higher risk for cardiovascular disease, such benefits have not been established.</p>

<p><strong>METHODS: </strong>We pooled data from three cohort studies with a total of 27,271 participants. Kidney function was categorized on the basis of eGFR (≥60, 45 to &lt;60, and &lt;45 ml/min per 1.73 m). We used proportional hazard frailty models to estimate associations between healthy behaviors (not smoking, at recommended body mass index [BMI], physical activity, healthy diet, and moderate to no alcohol intake) and outcomes (all-cause death, major coronary events, ischemic stroke, and heart failure events).</p>

<p><strong>RESULTS: </strong>All recommended lifestyle behaviors were significantly associated with lower risks of death, regardless of eGFR. Not smoking (versus current) and any moderate to vigorous physical activity (versus none) was significantly associated with reduced risks of major coronary and heart failure events, regardless of eGFR. Any (versus no) moderate or vigorous physical activity significantly associated with decreased risk of ischemic stroke events only among those with eGFR ≥60. Moderate to no daily alcohol intake (versus excessive) was significantly associated with an increased risk of major coronary events, regardless of eGFR. For heart failure events, a BMI of 18.5 to 30 associated with decreased risk, regardless of eGFR. Across all eGFR categories, the magnitude of risk reduction for death and all cardiovascular outcomes increased with greater numbers of recommended lifestyle behaviors.</p>

<p><strong>CONCLUSIONS: </strong>Recommended lifestyle behaviors are associated with lower risk of death and cardiovascular disease events among individuals with or without reduced kidney function, supporting lifestyle behaviors as potentially modifiable risk factors for people with kidney disease.</p>

10.1681/ASN.2020040394

J Am Soc Nephrol

33547215