With chronic kidney disease becoming a public health problem in the world, dialysis treatment model has also become the focus of attention from all walks of life. Sustained low-efficiency dialysis, which adopts the mode of low blood flow and low dialysis volume, is a kind of hybrid renal replacement therapy combining continuous renal replacement therapy and intermittent hemodialysis. It has unique advantages in the treatment of patients with acute and severe renal injury, as well as the dialysis duration, patient activity range and cost. It is the most widely used hybrid renal replacement therapy too. This review summarizes the clinical application and nursing points of sustained low-efficiency dialysis to provide guidance for clinical practice.
ObjectiveTo investigate the health literacy level and its influencing factors among follow-up patients with chronic kidney disease (CKD).MethodsFrom March to August 2018, 248 patients from the CKD Follow-up Management Center, West China Hospital, Sichuan University were included. Basic information questionnaire and chronic diseases health literacy scale were used. Analysis of variance and t test were used in univariate analysis, and multiple linear stepwise regression was used in multivariate analysis, to explore the influencing factors of health literacy score.ResultsThe average health literacy score of the 248 CKD patients (97.24±12.22) were in medium to low level. Listed from high to low, the score of each dimension was: ability to obtain information (4.24±0.50), willingness to improve health (4.17±0.66), competence to communicate and interact with others (3.95±0.59), and willingness to support financially (3.41±1.10). The result of multiple linear stepwise regression showed that whether followed up on time, families’ monthly income per capita, and the patients’ age were independent influencing factors of health literacy score (P<0.05).ConclusionsThe health literacy level of follow-up patients with CKD remains to be improved. Medical personnel should pay attention to whether patients with CKD are followed up on time, make targeted intervention, and improve the self-management of patients so as to delay the disease progress of CKD.
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.