Comprehensive review of current management guidelines of chronic kidney disease

Factors influencing fatigue among patients undergoing hemodialysis: a multi-center cross-sectional study

Fatigue has been reported to be the most common symptom experienced by patients receiving hemodialysis (HD) therapy. Fatigue can lead to a reduction in their ability to engage in both routine and self-care activities, which can negatively affect their self-confidence and quality of life. This study aimed to determine the level of fatigue and the factors that affecting its level among patients receiving uHD.

METHODS

A cross-sectional design was utilized to explore the level of fatigue among patients receiving maintenance HD using the Mul-tidimensional Assessment of Fatigue (MAF) scale. Data were collected from four dialysis centers in two Saudi Arabia cities, Hail and Al-Qassim, between January 2022 and October 2022.

RESULTS

The questionnaire was completed by 236 patients. Older patients, male patients, and retired pa-tients reported significantly higher levels of fatigue (p < 0.001). In contrast, marital status, educational level, and financial status did not significantly affect the level of fatigue among patients (p = 0.193, 0.285, and 0.126, respectively). Patients who had seven or more dependents reported more fatigue than those who had lower levels of fatigue or who did not have dependents (p = 0.004). In addition, patients who had a regular exercise regimen reported significantly lower fatigue than those who did not have an exercise regimen (p = 0.011). Multiple linear regression demonstrated that employment status (student), comorbidity condition (one chronic disease), dialysis duration, satisfaction with dialysis time, and dialysis time were found to affect the fatigue scores (R2 = 0.302, p ˂ 0.001).

CONCLUSION

The findings of this study gives a broader understanding of factors influencing fatigue among patients with HD that will help to develop strategies of more focused interventions to reduce fatigue among patients with HD.

The effect of coaching on health information literacy in patients with chronic kidney disease: a randomized controlled trial

BACKGROUND

Since chronic kidney disease is highly insidious in the early stages, most diagnosed patients have already developed irreversible renal failure. There is a lack of effective implementation and standardization of health education management for patients with chronic kidney disease, and the impact of health education management on health information literacy is not yet known.

METHODS

This randomized controlled clinical trial was conducted from March 2022 to March 2023. A total of 130 patients with chronic kidney disease stage 3-4 were selected from a tertiary hospital in Zhuhai via a convenience sampling method and were then randomly assigned to intervention and control groups. The Health Information Literacy Questionnaire for Chronic Kidney Disease was used to assess the health literacy of the patients at month 0 and month 12. In addition, the renal function-related indices of the patients were measured before and after the intervention. The study adhered to SPIRIT guidelines.

RESULTS

There was no significant difference between the two groups in health information literacy, platelet count, estimated glomerular filtration rate, or albumin level. However, the intervention group showed a significant improvement in health behavioral status such as information acquisition, checkups, and physical activity. Subgroup analysis revealed that hemoglobin was significantly higher in non-employed patients than in the intervention group. There was a significant improvement in hemoglobin level after receiving health guidance in patients with intermediate education, and acquisition capacity and estimated glomerular filtration rate in the intervention group were lower than in the control group for patients with elementary education.

CONCLUSION

Receiving health coaching helped to improve self-management behaviors and hemoglobin levels of patients with stage 3-4 chronic kidney disease. Education level is an important factor influencing the effectiveness of health coaching techniques.

TRIAL REGISTRATION

This study was prospectively registered in the China Clinical Trial Registry on November 10, 2021, with registration number: ChiCTR2100053103.

Magnitude of multiple drug use and determinants of vulnerability among chronic kidney disease inpatients in Ethiopia: a multi-center study

BACKGROUND

Patients with chronic kidney disease frequently face various nutritional and metabolic problems that necessitate the use of multiple medications. This multiple drug use can lead to several drug-related problems including adverse drug events, hospital admissions, poor medication adherence, harmful drug interactions, inadequate therapeutic outcomes, and death. Despite these challenges, there is a notable lack of studies on the extent of multiple drug use and its determinants among patients with chronic kidney disease in Ethiopia. This study aims to assess the magnitude of multiple drug use and identify the determinants of vulnerability among patients with chronic kidney disease in Ethiopia.

METHOD

A hospital-based cross-sectional study was conducted among patients with chronic kidney disease. Eligible participants were selected using a simple random sampling technique. Frequency and percentage calculations were performed for categorical variables, while means and standard deviations were used for continuous variables. The chi-square test and t-test were used to compare the proportions and means, respectively. Binary logistic regression was used to identify the determinants of multiple drug use, with statistical significance determined by a p-value of less than 0.05 and a 95% confidence interval. Guidelines and previous literature were utilized to assess the magnitude of multiple drug use.

RESULTS

A total of 230 patients were enrolled, with more than half being male. The overall magnitude of multiple drug use was 83.0%. Diuretics being the most frequently prescribed medication class followed by angiotensin converting enzyme inhibitors. Patients aged 65 years and above (AOR = 4.91 (95% CI 1.60-15.03)), CKD stage five (AOR) = 5.48 (95% CI 1.99-15.09)), and the presence of comorbid conditions (AOR) = 3.53 (95% CI 1.55-8.06)) were significantly associated with multiple drug use.

CONCLUSION

Chronic kidney disease patients exhibited a high rate of multiple drug use. The presence of comorbid conditions, disease progression and older age are significant determinates of this vulnerability. Health care providers should pay particular attention to these factors to manage and mitigate the risks associated with multiple drug use.

Improving Adherence and Reducing Health Care Costs Through Blister-Packaging: An Economic Model for a Commercially Insured Health Plan

Purpose

To model the potential clinical and economic impact of blister-packaging medications for chronic conditions on medication adherence and healthcare costs in a commercially insured population.

Methods

A health economic model was developed to evaluate the potential impact of blister-packaging chronic medications for a commercially insured population. The chronic medication classes assessed were renin-angiotensin-system (RAS) antagonists, statins, non-insulin oral antidiabetics, and direct oral anticoagulants (DOACs). The model was designed to reflect the perspective of a hypothetical commercially insured health plan with 100,000 members, over a one-year time horizon. Literature-based or best available epidemiologic references were used to inform the number of patients utilizing each medication class, the impact of blister-packaging on the number of patients who become adherent, as well as the impact of medication adherence in a commercially insured population on healthcare costs for each medication class assessed. Impact on costs was measured in total net healthcare costs, as well as being stratified by medical costs and medication costs.

Results

Following the blister-packaging intervention, there were an additional 591 patients adherent to RAS antagonists, 1196 patients adherent to statins, 169 patients adherent to oral antidiabetics, and 25 patients adherent to DOACs. While pharmacy costs increased, these costs were more than offset by the reduction in medical costs. Overall, the increase in patients adherent to therapy due to blister-packaging led to a reduction in total healthcare costs of $879,312 for RAS antagonists (-$0.73 per-member per-month (PMPM)), $343,322 for statins (-$0.29 PMPM), $78,917 for oral antidiabetics (-$0.07 PMPM), and $120,793 for DOACs (-$0.10 PMPM).

Conclusion

Blister-packaging chronic medications in a commercially insured population has the potential to reduce healthcare costs. Future research is needed to confirm these findings in real-world settings and to fully understand the clinical and economic implications of blister-packaging chronic medications.

Unraveling the Mechanisms of Magnesium Supplementation in Alleviating Chronic Kidney Disease Complications and Progression: Balancing Risks and Benefits

Chronic kidney disease (CKD) is a major cause of death and disability worldwide. It is usually diagnosed at early levels because of its slow progression. Treatment should consider CKD complications (such as electrolyte level imbalance, vascular calcification, and bone mineral disorders), as well as the development of CKD itself. Large-scale studies have shown that current treatment guidelines are nearly ineffective and fail to achieve treatment goals. Guidelines have not paid as much attention to magnesium (Mg) as the other electrolytes, while Mg has a significant role in the treatment goals of CKD. Hypomagnesemia is the only electrolyte imbalance that is equally prevalent in all stages of CKD. A lower plasma Mg level in each stage of CKD is associated with a higher risk of CKD progression and cardiac events. Magnesium exerts its effects both directly and via other ions. Mg supplementation increases insulin sensitivity while reducing proteinuria and inflammation. It lowers blood pressure and inhibits vascular calcification primarily because of its effects on calcium and phosphate, respectively. Vitamin D supplementation for low-active vitamin D in CKD patients increases vascular calcification and cardiac events, but magnesium supplementation enhances vitamin D levels and activity without increasing the risk of cardiac events. However, careful attention is required due to the potential threats of hypermagnesemia, particularly in advanced CKD stages. Starting magnesium supplementation early in patients' treatment plans will result in fewer side effects and more advantages. More original research is needed to determine its optimal dose and serum levels.

The Leicester, Leicestershire and Rutland quality improvement project and integrated chronic kidney disease system: implementation within a primary care network

BACKGROUND

The optimisation of patients in primary care is a prime opportunity to manage patient care within the community and reduce the burden of referrals on secondary care. This paper presents a quality improvement clinical programme taking place within an NHS Primary Care Network as part of the wider Leicester Leicestershire Rutland integrated chronic kidney disease programme.

METHOD

Patients are optimised to guidelines from the National Institute for Health and Care Excellence, by a primary care clinical team who are supported by nephrology consultants and nephrology pharmacists. Multidisciplinary team meetings take place with secondary care specialists and primary care staff. Learning is passed to the community clinicians for better patient treatment locally.

RESULTS

A total of 526 patients were reviewed under this project.The total number of referrals to secondary care which were discharged following first outpatient appointment, reduced from 42.9% to 10%. This reduction of 32.9% represents the optimisation of patient cases through this quality improvement project. Patients can be optimised and managed within the community, reducing the number of unnecessary referrals to secondary care.

CONCLUSION

This programme has the potential to offer significant improvement in patient outcomes when expanded to a larger patient base. Medicine management and the use of clinical staff are optimised in both primary and secondary care.

Renoprotective effect of Nesfatin-1 in Adenine-Induced Chronic kidney Disease: An in vitro and in vivo study

Chronic Kidney Disease (CKD) presents a significant global health challenge with limited treatment options. Nesfatin-1, an anorexigenic peptide, has demonstrated antioxidant, anti-inflammatory, and anti-apoptotic properties in various diseases. However, the role of nesfatin-1 in CKD remains unclear. This study investigates the potential renoprotective effects of nesfatin-1 in adenine-induced CKD mice and in NRK-52E renal epithelial cells. Male C57BL/6J mice and NRK-52E renal epithelial cells were administered adenine to induce CKD. Various aspects of renal function, histopathology, oxidative stress, inflammation, apoptosis, and renal interstitial fibrosis were assessed and downstream pathways were investigated. Adenine-fed mice exhibited reduced nesfatin-1 expression and increased markers of kidney damage, including elevated blood urea nitrogen (BUN), serum creatinine, and histological abnormalities, reactive oxygen species (ROS), inflammation, apoptosis, and fibrosis. Treatment with nesfatin-1 in adenine induced mice significantly reversed these changes. Nesfatin-1 also lowered calcium levels and the expression of inflammatory markers, including IL-1β, IL-6, TNF-α, and Nf-kB. Furthermore, nesfatin-1 reduced the expression of apoptotic markers (Caspase-3, Caspase-1, Bax/Bcl2 ratio) and restored the balance of Bcl2 and MMP. Lastly, nesfatin-1 attenuated fibrotic markers (Tgf-β, Smad2/3,4, type IV collagen, α-SMA) in both adenine-induced CKD mice and NRK-52E cells. In conclusion, our results suggest that nesfatin-1 may enhance kidney function in adenine-induced CKD mice and NRK-52E cells. The renoprotective effects of nesfatin-1 are likely associated with its antioxidant, anti-inflammatory, anti-apoptotic, and anti-fibrotic properties.

Digital Health Support: Current Status and Future Development for Enhancing Dialysis Patient Care and Empowering Patients

Chronic kidney disease poses a growing global health concern, as an increasing number of patients progress to end-stage kidney disease requiring kidney replacement therapy, presenting various challenges including shortage of care givers and cost-related issues. In this narrative essay, we explore innovative strategies based on in-depth literature analysis that may help healthcare systems face these challenges, with a focus on digital health technologies (DHTs), to enhance removal and ensure better control of broader spectrum of uremic toxins, to optimize resources, improve care and outcomes, and empower patients. Therefore, alternative strategies, such as self-care dialysis, home-based dialysis with the support of teledialysis, need to be developed. Managing ESKD requires an improvement in patient management, emphasizing patient education, caregiver knowledge, and robust digital support systems. The solution involves leveraging DHTs to automate HD, implement automated algorithm-driven controlled HD, remotely monitor patients, provide health education, and enable caregivers with data-driven decision-making. These technologies, including artificial intelligence, aim to enhance care quality, reduce practice variations, and improve treatment outcomes whilst supporting personalized kidney replacement therapy. This narrative essay offers an update on currently available digital health technologies used in the management of HD patients and envisions future technologies that, through digital solutions, potentially empower patients and will more effectively support their HD treatments.

The advent of RNA-based therapeutics for metabolic syndrome and associated conditions: a comprehensive review of the literature

Metabolic syndrome (MetS) is a prevalent and intricate health condition affecting a significant global population, characterized by a cluster of metabolic and hormonal disorders disrupting lipid and glucose metabolism pathways. Clinical manifestations encompass obesity, dyslipidemia, insulin resistance, and hypertension, contributing to heightened risks of diabetes and cardiovascular diseases. Existing medications often fall short in addressing the syndrome's multifaceted nature, leading to suboptimal treatment outcomes and potential long-term health risks. This scenario underscores the pressing need for innovative therapeutic approaches in MetS management. RNA-based treatments, employing small interfering RNAs (siRNAs), microRNAs (miRNAs), and antisense oligonucleotides (ASOs), emerge as promising strategies to target underlying biological abnormalities. However, a summary of research available on the role of RNA-based therapeutics in MetS and related co-morbidities is limited. Murine models and human studies have been separately interrogated to determine whether there have been recent advancements in RNA-based therapeutics to offer a comprehensive understanding of treatment available for MetS. In a narrative fashion, we searched for relevant articles pertaining to MetS co-morbidities such as cardiovascular disease, fatty liver disease, dementia, colorectal cancer, and endocrine abnormalities. We emphasize the urgency of exploring novel therapeutic avenues to address the intricate pathophysiology of MetS and underscore the potential of RNA-based treatments, coupled with advanced delivery systems, as a transformative approach for achieving more comprehensive and efficacious outcomes in MetS patients.

Leading Causes of Chronic Kidney Disease Among Dialysis Patients in Al-Baha Region, Saudi Arabia

Introduction Chronic kidney disease (CKD) and its progression to end-stage renal disease (ESRD) represent a growing health concern globally, with hypertension and diabetes commonly identified as primary etiological factors. This study evaluates the demographic and health profiles of individuals undergoing dialysis treatment in the Al-Baha region of Saudi Arabia, aiming to identify the predominant causes of ESRD and the associated socioeconomic and healthcare-related factors. Methodology This cross-sectional study analyzed data from patients receiving dialysis in Al-Baha. We assessed variables including etiology of ESRD, demographic data, presence of comorbid conditions, initial symptoms, and pre-dialysis health care engagement. Statistical analysis focused on the prevalence and correlations between the different variables and ESRD. The study also examined patients' educational background and employment status to ascertain ESRD's socioeconomic impact. Results The study found hypertension and diabetes as the leading causes of ESRD. Unknown etiologies accounted for 10.1% of cases, highlighting an area for further research. Notably, coronavirus disease 2019 (COVID-19) and cardiogenic shock emerged as potential new contributors, each representing 1.7% of cases. Most patients resided in urban areas, with the largest age group being 46 to 55 years. Men had a higher prevalence of ESRD than women. Low educational attainment was significant among patients, and unemployment due to ESRD was prevalent, pointing towards the need for vocational support. Clinical findings revealed late referrals to nephrologists, with a substantial proportion of diagnoses occurring in emergency settings. Family history suggested a higher-than-expected genetic component of CKD in the region. Conclusion The study confirms hypertension and diabetes as principal contributors to ESRD in Al-Baha while also pointing to the emergence of COVID-19 as a potential risk factor. Socioeconomic factors, including educational and employment status, are critical to patient management and outcomes. The high percentage of unknown etiologies and familial CKD prevalence warrants additional research. Improving early detection, enhancing patient education, and fostering timely nephrology consultations could mitigate the progression to ESRD and enhance patient quality of life.

AI-Powered Renal Diet Support: Performance of ChatGPT, Bard AI, and Bing Chat

Patients with chronic kidney disease (CKD) necessitate specialized renal diets to prevent complications such as hyperkalemia and hyperphosphatemia. A comprehensive assessment of food components is pivotal, yet burdensome for healthcare providers. With evolving artificial intelligence (AI) technology, models such as ChatGPT, Bard AI, and Bing Chat can be instrumental in educating patients and assisting professionals. To gauge the efficacy of different AI models in discerning potassium and phosphorus content in foods, four AI models-ChatGPT 3.5, ChatGPT 4, Bard AI, and Bing Chat-were evaluated. A total of 240 food items, curated from the Mayo Clinic Renal Diet Handbook for CKD patients, were input into each model. These items were characterized by their potassium (149 items) and phosphorus (91 items) content. Each model was tasked to categorize the items into high or low potassium and high phosphorus content. The results were juxtaposed with the Mayo Clinic Renal Diet Handbook's recommendations. The concordance between repeated sessions was also evaluated to assess model consistency. Among the models tested, ChatGPT 4 displayed superior performance in identifying potassium content, correctly classifying 81% of the foods. It accurately discerned 60% of low potassium and 99% of high potassium foods. In comparison, ChatGPT 3.5 exhibited a 66% accuracy rate. Bard AI and Bing Chat models had an accuracy rate of 79% and 81%, respectively. Regarding phosphorus content, Bard AI stood out with a flawless 100% accuracy rate. ChatGPT 3.5 and Bing Chat recognized 85% and 89% of the high phosphorus foods correctly, while ChatGPT 4 registered a 77% accuracy rate. Emerging AI models manifest a diverse range of accuracy in discerning potassium and phosphorus content in foods suitable for CKD patients. ChatGPT 4, in particular, showed a marked improvement over its predecessor, especially in detecting potassium content. The Bard AI model exhibited exceptional precision for phosphorus identification. This study underscores the potential of AI models as efficient tools in renal dietary planning, though refinements are warranted for optimal utility.