The patency of vascular access is of great significance to hemodialysis patients. Combining with guidelines and literature associated with vascular access for dialysis in recent years, the authors interpret the effectiveness and limitations of prophylactic drug strategies, including using fish oil, anticoagulation, anti-platelet, lipid-lowering agents, etc., in order to promote the proper use of these agents in clinical practice, and improve the effect of prophylaxis and treatment of vascular access dysfunction.
Objective To investigate the nutritional status of hospitalized patients with chronic kidney disease (CKD), analyze the influencing factors, and construct a predictive model to provide a localized theoretical basis and more convenient risk prediction indicators and models for clinical nutrition support and intervention treatment of CKD patients in China. Methods Convenience sampling was used to select hospitalized CKD patients from Department of Nephrology, West China Hospital, Sichuan University, from January to October 2019. General information questionnaires, the Nutritional Risk Screening 2002 scale, and the Huaxi Emotional-distress Index questionnaire were used for data collection. Single factor analyses and multiple logistic regression analysis were conducted to explore the risk factors for malnutrition in CKD hospitalized patients. A predictive model was established and evaluated using receiver operating characteristic (ROC) curve analysis and bootstrap resampling. Results A total of 1059 valid copies of questionnaires were collected out of 1118 distributed. Among the 1059 CKD hospitalized patients, 207 cases (19.5%) were identified as having nutritional risk. The multiple logistic regression analysis showed that CKD stage [odds ratio (OR)=1.874, 95% confidence interval (CI) (1.631, 2.152), P<0.001], age [OR=1.015, 95%CI (1.003, 1.028), P=0.018], and the Huaxi Emotional-distress Index [OR=1.024, 95%CI (1.002, 1.048), P=0.033] were independent risk factors for malnutrition in CKD hospitalized patients, while serum albumin [OR=0.880, 95%CI (0.854, 0.907), P<0.001] was an independent protective factor. The evaluation of the multiple logistic regression analysis predictive model showed a concordance index of 0.977, standard deviation of 0.021, and P<0.05. The area under the ROC curve was 0.977. Conclusions The prevalence of malnutrition is relatively high among CKD hospitalized patients. CKD stage, age, psychological status, and serum albumin are influencing factors for malnutrition in CKD hospitalized patients. The multiple logistic regression model based on the above indicators demonstrates good predictive performance and is expected to provide assistance for early nutritional intervention to improve the clinical outcomes and quality of life for CKD patients with malnutrition in China.
Studies of evidence-based medicine have provided much important evidence, clarified problems, and guided the clinical practice in the treatment of renal diseases. As examples, several therapeutic problems in renal hypertension, renal anemia and low protein diet for the patients with chronic kidney disease are discussed in this paper.
With the increasing number of chronic kidney disease (CKD) population globally, establishing an optimal model of CKD care has become an important issue. The major contents of CKD care include patient education, control of CKD risk factors (such as increased blood pressure and glucose), management of CKD complications, and preparation process of renal replacement therapy in pre-dialysis patients. Compared with other non-communicable diseases management, evidence-based evidence related to CKD care is limited. Based on the related studies worldwide, combined with the characteristics of CKD population and previous experiences in China, this paper discusses the management mode of non-dialysis CKD population.
ObjectiveTo collect the nutrition data in patients with chronic kidney disease (CKD) from stage 1 to 4 and provide the basis for further intervention by analyzing the specific problems of the patients. MethodsA total of 132 CKD patients from stage 1 to 4 were enrolled between December 2012 and December 2013. Nutritionists used inbodyS10ww as a body composition analyzer to test the patients. The data from inbodyS10ww and laboratory indexes were analyzed on marasmus, overweight and obesity, risk of malnutrition, malnutrition, anemia and hypoalbuminemia. ResultsThe percentage of marasmus in those CKD patients was 3.0%, overweight and obesity was 39.4%, the risk of malnutrition was 22.7%, malnutrition was 19.7%, anemia was 34.1%, and hypoalbuminemia was 9.8%. ConclusionOur search shows that combining the application of anthropometry and laboratory indexes can evaluate the nutritional status of patients with CKD. The most common nutritional problems in CKD patients include malnutrition, overweight and obesity, risk of malnutrition, and anemia. As for hypoalbuminemia, it is low in early CKD patients.
ObjectiveTo evaluate the screening performance of commonly used renal function indicators for chronic kidney disease (CKD) in subjects of different ages, so as to explore the appropriate screening regimen for Chinese population.MethodsA total of 2 131 adult subjects in Sichuan Orthopaedic Hospital or Mianyang Central Hospital from May 2016 to October 2017 were selected. They were divided into three groups according to age: group A (18–39 years, n=278), group B (40–64 years, n=1 167), and group C (≥65 years, n=686). Serum levels of creatinine (SCr), urea, and cystatin C [CysC; to calculate estimated glomerular filtration rate (eGFR) based on this index], as well as urine levels of albumin, total protein and creatinine were measured, and urine albumin to creatinine ratio (ACR) and urine protein to creatinine ratio (PCR) were calculated respectively. CKD was diagnosed according to the Kidney Disease: Improving Global Outcomes (KDIGO) Guideline (2012 Edition). The receiver-operating characteristic (ROC) curve analysis was finally performed to investigate the diagnostic performance of each indicator for CKD.ResultsThe prevalences of CKD in group A, B, and C were 10.8% (30/278), 16.4% (191/1 167), and 45.8% (314/686), respectively, and the difference among these groups was statistically significant (χ2=233.525, P<0.001). In addition, the levels of the six renal function indicators between CKD and non-CKD subjects also had statistically significant differences in different age groups (P<0 05="" otherwise="" roc="" curve="" analysis="" revealed="" that="" the="" diagnostic="" values="" of="" these="" indicators="" were:="" acr="" or="" pcr=""> eGFR or CysC > serum urea or SCr (AllP<0 05="" except="" that="" egfr="" cysc="" serum="" urea="" and="" scr="" in="" group="" a="" assessed="" the="" similar="" diagnostic="" performance="" among="" the="" three="" indicators="" recommended="" by="" kdigo="" guideline="" the="" diagnostic="" performances="" of="" acr="" and="" pcr="" in="" different="" age="" groups="" were:="" group="" b="" 0="" 915="" 0="" 914=""> group A (0.885, 0.890) > group C (0.841, 0.846), while the diagnostic performance of eGFR was group C (0.807) > group B (0.728) > group A (0.696). The best boundary values of ACR and PCR were lower while the value of eGFR was higher than the corresponding KDIGO recommended medical decision levels.ConclusionsACR is the first choice for screening CKD when the renal function index creatinine is normal. Moreover, eGFR can further improve the diagnostic value, especially in subjects over 65 years old.
Chronic kidney diseases (CKD) with long duration and a variety of complications have caused great physical and psychological problems for patients, and the overall quality of life of patients is low. Taijiquan, as a traditional Chinese techniques project, is beneficial to improving cardiopulmonary function, enhancing lower limb muscle strength, and reducing cardiovascular and cerebrovascular risks. We summarized the latest progress in clinical research concerning taijiquan as exercise rehabilitation for patients with CKD, aiming to promote the clinical application of taijiquan and other traditional exercises in the rehabilitation process of CKD patients and improve the overall quality of life of CKD patients.
End-stage renal disease is a late complication of chronic kidney disease (CKD) and one of the leading causes of high mortality worldwide. Over the years, the impacts of gut microbiota and their associated uremic toxins on kidney diseases through the intricate “gut-kidney axis” have been extensively studied. However, translation of microbiome-related omics results into specific mechanisms is still a significant challenge. In this paper, we review the interaction between gut microbiome and blood purification, as well as the current microbiota-based therapies in CKD. Additionally, the current sequencing technologies and progresses in the gut microbiome research are also discussed.
Objective To systematically review the effect of allopurinol on renal function in patients with chronic kidney disease (CKD). Methods The PubMed, EMbase, Cochrane Library, WanFang Data, CNKI, and VIP databases were searched for randomized controlled trials (RCTs) of the effect of allopurinol on renal function in patients with CKD. Databases for articles published between establishment of the database and April 28, 2021 were searched. Two evaluators independently screened the literature, extracted data and evaluated the risk of bias of the included studies. RevMan 5.4 was then used for meta-analysis. Results A total of 20 RCTs comprising 2 338 patients were included. The results of meta-analysis showed that compared with the control group, allopurinol substantially reduced the serum uric acid (MD=−2.48, 95%CI −3.08 to −1.89, P<0.01). In addition, the effect of allopurinol on slowing the decline in eGFR was influenced by the serum uric acid concentration. Participants taking allopurinol whose serum uric acid concentrations were maintained at >6 mg/dL showed a slower decline in eGFR (MD=5.03, 95%CI 1.76 to 8.31, P<0.01). However, there was no difference in the decline in eGFR between the two groups when the serum uric acid concentration of the participants was <6 mg/dL. Among participants with CKD and moderate renal dysfunction at baseline, those taking allopurinol showed a slower decline in eGFR than controls (MD=3.33, 95%CI 1.14 to 5.52, P<0.01). A further subgroup analysis showed that those who maintained their serum uric acid concentration above 6 mg/dL experienced a slower decline in eGFR (MD=5.46, 95%CI 2.06 to 8.86, P<0.01). However, when the serum uric acid concentration was <6 mg/dL, there was no difference between the allopurinol and control groups. Moreover, the serum creatinine concentration of the allopurinol group was lower than that of the control group after the intervention (MD=−0.39, 95%CI −0.58 to −0.19), P<0.01). However, there was no significant difference in the incidence of progression to end-stage kidney disease between the two groups (RR=0.96, 95%CI 0.65 to 1.42, P=0.85). Conclusion Allopurinol can substantially reduce serum uric acid and may protect the kidneys of patients with CKD when the serum uric acid concentration is maintained above 6 mg/dL.
ObjectiveTo analyze the trend of chronic kidney disease (CKD) disease burden attributable to metabolic factors in China from 1990 to 2021, and to predict the death of CKD due to metabolic factors in China from 2022 to 2046. MethodsBased on the 2021 Global Burden of Disease Database, this paper collected and sorted out the CKD deaths, disability-adjusted life years (DALYs), premature death lost life years (YLLs), and disability life lost years (YLDs) attributed to metabolic factors by different ages and sexes in China from 1990 to 2021, and used the Joinpoint regression model to systematically evaluate the temporal trends of standardized mortality and standardized DALYs rate. The age-period-cohort (APC) model was used to assess age, period, and cohort effects, and the R software Nordpred package was used to predict future changes in the burden of disease. ResultsCompared with 1990, the mortality rate, DALYs rate, YLLs rate, and YLDs rate attributable to metabolic factors of Chinese residents in 2021 showed an upward trend, and the characteristics of male higher than female, higher age group than lower age group. The primary metabolic factor influencing the disease burden of CKD was hyperglycemia. The results of Joinpoint analysis showed a downward trend in the standardized mortality and standardized DALYs rate of CKD attributed to metabolic factors. The results of age-period-cohort model analysis showed that the age effect of CKD attributed to metabolic factors increased significantly, the period effect increased slowly, and the cohort effect showed a downward trend. ConclusionThe disease burden of CKD attributed to metabolic factors in China is generally on the rise, and men, the elderly, and diabetic patients are the key focus of the disease.