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BackgroundChronic kidney diseases (CKD) is a severe public health problem. This study aimed to explore the field of inflammation-related research in CKD from a bibliometric perspective.MethodsRelevant literature published between 2004 and 2023 were searched from the Web of Science database. The bibliometric analysis were performed to summarize countries, institutions, authors, journals and keywords using VOSviewer and CiteSpace.ResultsA total of 9,287 publications on CKD and inflammation were included. Publications were mainly from the United States, China, Italy, Germany, and Japan. The findings revealed that the United States had the highest number of publications in this field, followed by China. There is strong collaboration between the two countries. The most productive institutions included the University of California system and the US Department of Veterans Affairs. Research hotspots primarily focused on inflammation mechanisms, biomarkers, and interventions.ConclusionThis study revealed the basic knowledge structure and provided a comprehensive insight into the research field of CKD and inflammation through bibliometric methods. Future studies should focus on early diagnosis, prevention, and treatment strategies of CKD, and explore more inflammation associated biomarkers and therapeutic targets for CKD.

Kaming Xue,1 Bobin Mi2 1Department of Integrated Traditional Chinese and Western Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People’s Republic of China; 2Department of Orthopedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People’s Republic of ChinaCorrespondence: Bobin Mi, Department of Orthopedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People’s Republic of China, Email mibobin@hust.edu.cnAbstract: Chronic kidney diseases (CKD) present a formidable global health challenge, characterized by a deficiency of effective treatment options. Extracellular vesicles (EVs), recognized as multifunctional drug delivery systems in biomedicine, have gained accumulative interest. Specifically, engineered EVs have emerged as a promising therapeutic approach for targeted drug delivery, potentially addressing the complexities of CKD management. In this review, we systematically dissect EVs, elucidating their classification, biogenesis, composition, and cargo molecules. Furthermore, we explore techniques for EV engineering and strategies for their precise renal delivery, focusing on cargo loading and transportation, providing a comprehensive perspective. Moreover, this review also discusses and summarizes the diverse therapeutic applications of engineered EVs in CKD, emphasizing their anti-inflammatory, immunomodulatory, renoprotective, and tissue-regenerating effects. It critically evaluates the challenges and limitations in translating EV therapies from laboratory settings to clinical applications, while outlining future prospects and emerging trends.Keywords: extracellular vesicles, nanomaterials, chronic kidney diseases, drug delivery systems, application

Yumei Liao,1,* Aihong Wang,1,* Wenjuan Sui,2 Abbas Khan,3 Zibo Xiong,1,4,5 Guang Yang1,4,5 1Division of Renal Medicine, Peking University Shenzhen Hospital, Peking University, Shenzhen, Guangdong, 518036, People’s Republic of China; 2Institute of City Strategy Studies, Guangdong University of Foreign Studies, Guangzhou, Guangdong, 510006, People’s Republic of China; 3Department of Nutrition and Health Promotion, University of Home Economics Lahore Pakistan, Lahore, 54000, Pakistan; 4Institute of Nephrology, Shenzhen Peking University-Hong Kong University of Science and Technology (PKU-HKUST) Medical Center, Shenzhen, Guangdong, 518036, People’s Republic of China; 5Shenzhen Clinical Research Centre for Urology and Nephrology, Shenzhen, Guangdong, 518036, People’s Republic of China*These authors contributed equally to this workCorrespondence: Zibo Xiong; Guang Yang, Email xiong0301@163.com; guang.yang@pkuszh.comBackground: Nephrology nursing faces an inevitable challenge when it comes to falls. This study aims to review existing literature on falls in chronic kidney disease (CKD) patients and to discuss potential solutions.Methods: This review explores the characteristics and causes of falls in CKD patients, elucidate the underlying mechanisms, shares better nursing practices, and discusses both current prevention strategies as well as potential future interventions.Results: CKD patients often experience consciousness impairment and motor dysfunction due to factors such as muscle atrophy, nerve damage, malnutrition, anemia, fluid-electrolyte imbalances, hormonal disorders, and dialysis. Additionally, this study not only shares insights from nursing experience with these patients, but also reviews current evidence-based fall prevention strategies and proposes potential new interventions that could be tested in future research.Conclusion: CKD may increase the risk of involuntary falls in patients due to consciousness impairment and motor dysfunction. Advocating for a standardized expert consensus on fall risk assessment and comprehensive care for CKD patients would enhance the nursing framework in nephrology wards and help patients decrease their fall risk and elevate their quality of life.Keywords: falls, chronic kidney diseases, dialysis, nephrology nursing, anemia

Abstract Background The rise in risk factors like obesity, hypertension, and diabetes mellitus has partly led to the increase in the number of patients affected by chronic kidney disease, affecting an estimated 843 million people, which is nearly 10% of the general population worldwide in 2017. Patients with CKD have an increased risk of functional difficulties and disability. This study aimed to assess the level of functional status and disability and its associated factors among patients with chronic kidney attending Saint Paul Hospital, Millennium Medical College, Addis Ababa, Ethiopia. Methods An institution-based cross-sectional study was conducted with 302 enrolled study participants through systematic random sampling techniques. Face-to-face interviews and chart reviews were used to collect data using a semi-structured questionnaire adapted from works of literature. The Health Assessment Questionnaire Disability Index (HAQ-DI) was used to assess the functional status and disability of the participants. Data was entered into EPI info version 7 and exported to SPSS version 23 for analysis. Bivariate logistic regression analysis was employed with a p-value less than 0.25. Finally, those variables with a p-value less than 0.05 in multivariate analysis were taken as statistically significant. Results A total of 219 (72.5%) CKD patients had moderate to severe functional limitation and disability (HAQ-Di > 0.5-3). Age > 50 years [AOR = 1.65; 95% CI (1.23, 3.15)], being at stage 2 and 3 CKD [AOR = 4.05; 95% CI (1.82, 9.21), being at stage 4 and 5 CKD [AOR = 2.47; 95% CI (1.87, 4.72)], and having MSK manifestations [AOR = 2.97; 95% CI (1.61, 5.55)] were significantly associated with functional status and disability. Conclusion The findings of this study suggest that CKD-associated functional disabilities are common. The advanced stage of CKD, higher age, and presence of musculoskeletal manifestations appear to be important variables predicting self-reported functional status. Healthcare professionals treating CKD shall be vigilant about the CKD-associated disability, the modifiable predictors, and interventions to limit the CKD-related disability.

BackgroundThe extra-articular lesions of rheumatoid arthritis (RA) are reported to involve multiple organs and systems throughout the body, including the heart, kidneys, liver, and lungs. This study assessed the potential causal relationship between RA and the risk of chronic kidney diseases (CKDs) using the Mendelian randomization (MR) analysis.MethodIndependent genetic instruments related to RA and CKD or CKD subtypes at the genome-wide significant level were chosen from the publicly shared summary-level data of genome-wide association studies (GWAS). Then, we obtained some single-nucleotide polymorphisms (SNPs) as instrumental variables (IVs), which are associated with RA in individuals of European origin, and had genome-wide statistical significance (p5 × 10−8). The inverse-variance weighted (IVW) method was the main analysis method in MR analysis. The other methods, such as weighted median, MR–Egger, simple mode, and weighted mode were used as supplementary sensitivity analyses. Furthermore, the levels of pleiotropy and heterogeneity were assessed using Cochran’s Q test and leave-one-out analysis. Furthermore, the relevant datasets were obtained from the Open GWAS database.ResultsUsing the IVW method, the main method in MR analysis, the results showed that genetically determined RA was associated with higher risks of CKD [odds ratio (OR): 1.22, 95% confidence interval (CI) 1.13–1.31; p

Abstract Background The prevalence of chronic kidney diseases (CKD) is higher in patients with diabetes. The American diabetes association (ADA) provides components of diabetes care, treatments, and guidelines to diagnose diabetic patients at risk of CKD. Herein we followed the ADA diagnosis guidelines to identify the Type 2 Diabetes mellitus (T2DM) patients at risk of CKD which is underestimated in the region. The study main objectives are to investigate the CKD prevalence and association with risk factors according to the ADA classification, and also to identify the T2DM patients at risk of renal diseases. A descriptive retrospective study was conducted. The data were collected using face-to-face interviews and through accessing patients’ medical records from Endocrinology and Cardiology clinics in an academic tertiary care hospital. Results About 40% of the 331 T2DM outpatients were at risk of developing CKD. The majority were in CKD Stage 3, then Stage 2. The estimated GFR (eGFR) values were significantly reduced in the T2DM patients who are; older than 50 years; have diabetes for more than 10 years; and have abnormally high serum and urine creatinine, proteinuria, and albumin to creatinine ratio. Further, the eGFR values were negatively associated with; the duration of T2DM; serum creatinine, proteinuria; and albumin to creatinine ratio. Conclusions This study provides evidence of the increasing risk of CKD among T2DM patients in the region. Hence, T2DM patients especially elders and those with the long onset of diabetes need to go under regular checks on their clinical parameters to prevent CKD progression.

Background: Kidney function can be impaired in patients with inflammatory bowel diseases (IBD), including Crohn's diseases (CD) and ulcerative colitis (UC). However, the causal relationship between IBD and chronic kidney diseases (CKD) remains unclear. Methods: We determined the causal association between IBD and CKD by performing two‐sample bidirectional mendelian randomization (MR) analyses. Independent genetic variants were selected as instrumental variables (IVs) of the exposure from open‐access genome‐wide association studies (GWAS) among European ancestry. IVs–outcome estimates were extracted from three separate GWAS for IBD and two for CKD, respectively. Inverse‐variance‐weighted model was used as the primary MR method. The pleiotropic effect and heterogeneity were evaluated. For either direction, analyses were performed per outcome database and were subsequently meta‐analysed. Results: Genetically predicted IBD was associated with higher risk of CKD (OR: 1.045, 95% CI: 1.016–1.073, P = 0.002) by including 42 344 IBD cases and 229 164 controls. Further analyses showed genetic liability to CD increased the risk of CKD (OR: 1.057, 95% CI: 1.027–1.087, p < 0.001) whereas UC did not (OR: 0.999, 95% CI:0.969–1.031, p = 0.970). In contrast, genetically predicted CKD was not associated with IBD (OR: 1.010, 95% CI: 0.965–1.056, p = 0.676), UC (OR: 1.011, 95% CI: 0.948–1.078, p = 0.746) and CD (OR: 1.024; 95% CI: 0.963–1.089, p = 0.447). Conclusions: We concluded that CD, but not UC, can increase the risk of CKD causally. CD, but not UC, can increase the risk of chronic kidney disease causally. These findings enhance our understanding of the differential impact of IBD subtypes on CKD. It may be necessary to monitor kidney function regularly in patients with CD. Summary at a Glance: Crohn's diseases, but not ulcerative colitis, can increase the risk of chronic kidney diseases (CKD) causally.CKD were not associated with the risk of inflammatory bowel diseases casually. [ABSTRACT FROM AUTHOR]

Proteinuria is an independent risk factor for chronic kidney disease progression and cardiovascular diseases. Apart from its prognostic role, the load of proteins that pass across the disrupted glomerular capillary wall trigger multiple pathophysiologic processes. These include, among others, intratubular complement activation and excessive proximal tubular reabsorption of filtered proteins, especially albumin and albumin-bound free fatty acids, which can set off several pathways of cellular damage. The activation of these pathways can cause apoptosis of proximal tubular cells and paracrine effects that incite the development of interstitial inflammation and fibrosis, ultimately leading to irreversible kidney injury. In this review, we provide a comprehensive overview of the current understanding on the mechanisms underlying the tubular toxicity of ultrafiltered proteins in the setting of proteinuric chronic kidney diseases. The acquired knowledge is expected to be instrumental for the development of novel therapeutic classes of medications to be tested on top of standard of care with optimized renin-angiotensin-aldosterone blockade and sodium-glucose cotransporter-2 inhibition, in order to further improve the clinical outcomes of patients with proteinuric chronic kidney diseases.

Tong Chen,1– 4 Yu Liu,2,3 Shiquan Wu,2 Siyu Long,2 Ling Feng,4,5 Wenqian Lu,6 Wenya Chen,2 Guoai Hong,2 Li Zhou,2 Fang Wang,2 Yuechan Luo,2 Hequn Zou,2,4,6 Weihua Liu7 1Department of Nephrology, Chongqing Key Laboratory of Prevention and Treatment of Kidney Disease, Chongqing Clinical Research Center of Kidney and Urology Diseases, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing, 400037, People’s Republic of China; 2South China Hospital of Shenzhen University, Shenzhen, 518116, People’s Republic of China; 3Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, National Regional Key Technology Engineering Laboratory for Medical Ultrasound School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen, 518060, People’s Republic of China; 4Department of Nephrology, The Third Affiliated Hospital, Southern Medical University, Guangzhou, People’s Republic of China; 5Department of Nephrology, Shenzhen Hospital, Southern Medical University, Shenzhen, People’s Republic of China; 6School of Medicine, The Chinese University of Hong Kong, Shenzhen, People’s Republic of China; 7Department Nephrology of Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fujian, 350001, People’s Republic of ChinaCorrespondence: Weihua Liu, Department Nephrology of Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fujian, 350001, People’s Republic of China, Email lwh10280465@163.com Hequn Zou, School of Medicine, The Chinese University of Hong Kong, Shenzhen, People’s Republic of China, Email zouhequn@cuhk.edu.cnBackground: Obesity and insulin resistance (IR) are positively associated with chronic kidney disease (CKD). Previous studies have identified triglyceride-glucose index (TyG) as a valuable surrogate of insulin resistance. Recently, new indicators combining TyG and simple anthropometric indices have emerged, The objective of this study was to assess the diagnostic accuracy of TyG and newly TyG related indicators in detecting CKD and explore which indices were superior in associating with CKD in Chinese population.Methods: Correlation test, logistic regression analysis, and receiver operating characteristic (ROC) analyses were used to evaluate the optimal cut-off and value of TyG, TyG-body mass index (TyG-BMI), TyG-waist circumference (TyG-WC), TyG-waist to height ratio (TyG-WHtR) for predicting CKD.Results: TyG-WHtR, TyG-WC, and TyG-BMI correlated with several risk factors for CKD. After adjusting for confounders, TyG-WHtR and TyG-WC remained significantly associated with CKD, while TyG-BMI did not. The highest quartiles of TyG-WHtR and TyG-WC had 1.95- and 1.91-fold increased risk of CKD than the lowest quartiles (P< 0.05). TyG-WHtR had the largest AUC (0.687) for CKD detection, followed by TyG-WC (0.669), TyG (0.652), and TyG-BMI (0.648). A united model that involved TyG-WHtR and other risk variables had higher predictive performance (AUC=0.791) than a single TyG related indicator. However, TyG had the highest OR (2.713, 95% CI, 1.446– 5.090) for reduced eGFR in the fully adjusted model. A united model that involved TyG and WHtR separately had stronger predictive ability (AUC: 0.794) than the model that involved TyG-WHtR individually (AUC:0.791).Conclusion: This study found that TyG-WHtR had a better diagnostic value in the diagnosis of CKD, compared to other TyG related indicators, but none of the TyG related indicators showed a stronger association with CKD than TyG. Further research and more refined algorithms are needed to verify these new indicators.Keywords: chronic kidney disease, insulin resistance, obesity, TyG related indicators

Abstract Background Accurate detection of kidney damage is key to preventing renal failure, and identifying biomarkers is essential for this purpose. We aimed to assess the accuracy of miRNAs as diagnostic tools for chronic kidney disease (CKD). Methods We thoroughly searched five databases (MEDLINE, Web of Science, Embase, Scopus, and CENTRAL) and performed a meta-analysis using R software. We assessed the overall diagnostic potential using the pooled area under the curve (pAUC), sensitivity (SEN), and specificity (SPE) values and the risk of bias by using the QUADAS-2 tool. The study protocol was registered on PROSPERO (CRD42021282785). Results We analyzed data from 8351 CKD patients, 2989 healthy individuals, and 4331 people with chronic diseases. Among the single miRNAs, the pooled SEN was 0.82, and the SPE was 0.81 for diabetic nephropathy (DN) vs. diabetes mellitus (DM). The SEN and SPE were 0.91 and 0.89 for DN and healthy controls, respectively. miR-192 was the most frequently reported miRNA in DN patients, with a pAUC of 0.91 and SEN and SPE of 0.89 and 0.89, respectively, compared to those in healthy controls. The panel of miRNAs outperformed the single miRNAs (pAUC of 0.86 vs. 0.79, p

Objectives and Study: Chronic kidney diseases in childhood are with variable etiology and clinical presentation. The purpose of this study is to investigate the influence of the chronic kidney diseases over the psychical status of these children and their close relatives and to make assessment how the disease intergrades with their neuro-psychological development and quality of life. Methods: 36 children aged from 7-18 with different chronic kidney diseases and a group of 36 adults (their close relatives) are included in the study (gr.A). The control group consists of 36 children with acute kidney diseases and their parents (gr.B). The parents were interviewed after a preliminary conversation and the Zung depression scale was assessed. In children, the EPQ Ayzenk test was performed after a preliminary talk and interview. Psychological tests of the children and adults were performed when the diagnosis was established and in 12-months intervals. Results: In the group of sick children(gr.A) a tendency towards isolation was observed and reduction of contacts. Manifestations of moderate depressive reactions were established in the group of parents when the diagnosis of their child was established.In the course of complex treatment of the chronic kidney disease reduction of parents’ depression was observed. Conclusions: The psychological disturbances are more discreet in children with chronic kidney diseases, while in the group of adults they are more significant to well-expressed. The communication and work of well-trained psychologists with the parents and children would help them to be more adaptive.

Hemoperfusion is one of the most important therapies for progressive chronic kidney disease (CKD) and is effective at removing toxins from the blood. Increasing the efficiency of adsorbents applied in hemoperfusion is crucial. In the present study, shell of areca nut, one of the most common waste Chinese herb medicine residue with a porous structure was carbonized and activated at different temperatures to obtain two kinds of porous materials. The biocompatibility of the as-prepared porous materials was estimated via a hemolytic test, and the removal efficiency of the materials toward toxins was tested via an adsorption experiment in solution and blood samples from CKD patients, simulated hemoperfusion and in vivo hemoperfusion. After 4 h of adsorption, free and protein-bound toxins in solution were efficiently removed by the prepared porous materials, and the removal efficiency was better than that of commonly used hemoperfutor adsorbents. Most of the tested toxins can be removed from CKD blood samples and simulated hemoperfusion samples. Blood uremic toxins from CKD mice were also efficiently and safely removed after in vivo hemoperfusion using the as-prepared adsorbent. This work highlights promising adsorbents for hemoperfusion that could increase the therapeutic efficacy in patients with progressive CKD.

Background: Chronic kidney diseases (CKD) is a severe public health problem. This study aimed to explore the field of inflammation-related research in CKD from a bibliometric perspective., Methods: Relevant literature published between 2004 and 2023 were searched from the Web of Science database. The bibliometric analysis were performed to summarize countries, institutions, authors, journals and keywords using VOSviewer and CiteSpace., Results: A total of 9,287 publications on CKD and inflammation were included. Publications were mainly from the United States, China, Italy, Germany, and Japan. The findings revealed that the United States had the highest number of publications in this field, followed by China. There is strong collaboration between the two countries. The most productive institutions included the University of California system and the US Department of Veterans Affairs. Research hotspots primarily focused on inflammation mechanisms, biomarkers, and interventions., Conclusion: This study revealed the basic knowledge structure and provided a comprehensive insight into the research field of CKD and inflammation through bibliometric methods. Future studies should focus on early diagnosis, prevention, and treatment strategies of CKD, and explore more inflammation associated biomarkers and therapeutic targets for CKD., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Wang, Chen, Gou, Yang and Xiong.)

BackgroundDespite the potential demonstrated by targeted plasma metabolite modulators in halting the progression of chronic kidney disease (CKD), a lingering uncertainty persists concerning the causal relationship between distinct plasma metabolites and the onset and progression of CKD.MethodsA genome-wide association study was conducted on 1,091 metabolites and 309 metabolite ratios derived from a cohort of 8,299 unrelated individuals of European descent. Employing a bidirectional two-sample Mendelian randomization (MR) analysis in conjunction with colocalization analysis, we systematically investigated the associations between these metabolites and three phenotypes: CKD, creatinine-estimated glomerular filtration rate (creatinine-eGFR), and urine albumin creatinine ratio (UACR). In the MR analysis, the primary analytical approach employed was inverse variance weighting (IVW), and sensitivity analysis was executed utilizing the MR-Egger method and MR-pleiotropy residual sum and outlier (MR-PRESSO). Heterogeneity was carefully evaluated through Cochrane’s Q test. To ensure the robustness of our MR results, the leave-one-out method was implemented, and the strength of causal relationships was subjected to scrutiny via Bonferroni correction.ResultsOur thorough MR analysis involving 1,400 plasma metabolites and three clinical phenotypes yielded a discerning identification of 21 plasma metabolites significantly associated with diverse outcomes. Specifically, in the forward MR analysis, 6 plasma metabolites were determined to be causally associated with CKD, 16 with creatinine-eGFR, and 7 with UACR. Substantiated by robust evidence from colocalization analysis, 6 plasma metabolites shared causal variants with CKD, 16 with creatinine-eGFR, and 7 with UACR. In the reverse analysis, a diminished creatinine-eGFR was linked to elevated levels of nine plasma metabolites. Notably, no discernible associations were observed between other plasma metabolites and CKD, creatinine-eGFR, and UACR. Importantly, our analysis detected no evidence of horizontal pleiotropy.ConclusionThis study elucidates specific plasma metabolites causally associated with CKD and renal functions, providing potential targets for intervention. These findings contribute to an enriched understanding of the genetic underpinnings of CKD and renal functions, paving the way for precision medicine applications and therapeutic strategies aimed at impeding disease progression.

Abstract Chronic kidney disease (CKD) is a major worldwide health problem, affecting a large proportion of the world’s population and leading to higher morbidity and death rates. The early stages of CKD sometimes present without visible symptoms, causing patients to be unaware. Early detection and treatments are critical in reducing complications and improving the overall quality of life for people afflicted. In this work, we investigate the use of an explainable artificial intelligence (XAI)-based strategy, leveraging clinical characteristics, to predict CKD. This study collected clinical data from 491 patients, comprising 56 with CKD and 435 without CKD, encompassing clinical, laboratory, and demographic variables. To develop the predictive model, five machine learning (ML) methods, namely logistic regression (LR), random forest (RF), decision tree (DT), Naïve Bayes (NB), and extreme gradient boosting (XGBoost), were employed. The optimal model was selected based on accuracy and area under the curve (AUC). Additionally, the SHAP (SHapley Additive exPlanations) and LIME (Local Interpretable Model-agnostic Explanations) algorithms were utilized to demonstrate the influence of the features on the optimal model. Among the five models developed, the XGBoost model achieved the best performance with an AUC of 0.9689 and an accuracy of 93.29%. The analysis of feature importance revealed that creatinine, glycosylated hemoglobin type A1C (HgbA1C), and age were the three most influential features in the XGBoost model. The SHAP force analysis further illustrated the model’s visualization of individualized CKD predictions. For further insights into individual predictions, we also utilized the LIME algorithm. This study presents an interpretable ML-based approach for the early prediction of CKD. The SHAP and LIME methods enhance the interpretability of ML models and help clinicians better understand the rationale behind the predicted outcomes more effectively.

Abstract Background The effect of ultra-processed foods (UPFs) on chronic kidney disease (CKD) has been studied in some studies. The present study aimed to investigate the association between UPF consumption and the risk of protein-energy wasting (PEW) and sarcopenia in patients with CKD in the Iranian population. Methods The current cross-sectional study included 110 patients with CKD referred to two clinics in Shiraz, Iran. The International Society of Renal Nutrition and Metabolism (ISRNM) criteria and the Asian Working Group for Sarcopenia (AWGS) guideline were considered for the diagnosis of PEW and sarcopenia, respectively. The valid semi-quantitative food frequency questionnaire was used to assess participants' dietary intake. The logistic regression was used to examine the association of UPFs with PEW and sarcopenia. Results We observed no significant association between sarcopenia and PEW with UPFs in the crude model. After adjusting for confounders, we observed a significantly higher odds of sarcopenia in the upper versus lower median of UPF intake (odds ratio (OR) = 3.59, 95% confidence interval (CI): 1.02–12.62, P = 0.046). Conclusions Our findings suggest a positive relationship between UPF intake and sarcopenia among CKD patients. Therefore, reducing the intake of UPFs may decrease the odds of sarcopenia in patients suffering from CKD.

Introduction: Chronic myeloid leukemia (CML) is characterized by the presence of the BCR::ABL1 fusion gene, and the advent of tyrosine kinase inhibitors (TKIs) has revolutionized its therapeutic landscape. Asciminib, a STAMP inhibitor, emerges as a promising option for patients unresponsive or intolerant to multiple conventional TKIs. However, the safety and efficacy of asciminib in individuals with chronic kidney disease remain understudied. Case Presentation: In this report, we detail the case of a 62-year-old patient with CML and stage 3 chronic kidney disease, who faced intolerance to traditional TKIs primarily due to fluid retention. The transition to asciminib therapy resulted in a profound molecular response and did not exacerbate renal function, effectively addressing the fluid retention issue. Conclusion: This case highlights the potential of asciminib as a viable therapeutic alternative for CML patients with chronic kidney disease, particularly those intolerant to standard TKIs. Further research is warranted to establish the broader safety and efficacy profile of asciminib in this patient population.