Acute kidney injury (AKI) is a common critical illness in clinical practice, with complex etiologies, acute onset, and rapid progression. It not only significantly increases the mortality rate of patients, but also may progress to chronic kidney disease. Currently, its incidence remains high, and improving early diagnosis rate and treatment efficacy is a major clinical challenge. Artificial intelligence (AI), with its powerful data processing and analysis capabilities, is developing rapidly in medical field, providing new ideas for disease diagnosis and treatment, and showing great potential in revolutionizing the early diagnosis, condition assessment, and treatment decision-making models in the AKI field. This article will review the application progress of AI in AKI prediction, condition assessment, and treatment decision-making, so as to provide references for clinicians and promote the further application and development of AI in the AKI field.
Chronic kidney disease (CKD) has been highlighted as one of the most important public health problems due to sharply climbing incidence and prevalence. To efficiently attenuate the disease burden and improve the disease management, not only active and effective treatment should be administrated, but also comprehensive follow-up nursing management with innovative and evolving spirits should be implemented. Thus dynamic changes of diseases could be acquired in time and patients are under appropriate medical instruction as soon as possible. This editorial is based on quickly developing medical big data resources and advanced internet techniques, from both aspects of patients and health care providers, briefly talking about integrated management strategy of CKD and its future development in China.
Continuous renal replacement therapy (CRRT) is one of the major treatments for critically ill patients. With the development of information technology, the informatization and artificial intelligent of CRRT has received wide attention, which has promoted the optimization of CRRT in terms of workflow, teaching method as well as scientific research. Benefiting from the big data generated, artificial intelligence is expected to be applied in the precision treatment, quality control, timing of intervention, as well as prognosis assessment in severe AKI, so as to ultimately improve the therapeutic effect of CRRT among critically ill patients. This paper summarizes the information construction of CRRT and the research progress of artificial intelligence, which can be used as a reference for practitioners in kidney disease, critical medicine, emergency medicine and other related fields.
ObjectiveTo investigate the role of multiple disciplinary team (MDT) during surgical treatment of renal secondary hyperparathyroidism (SHPT), and identify management points of Departments of Nephrology and Endocrinology.MethodsThe data of patients with chronic kidney disease undergoing surgical treatment for SHPT in West China Hospital of Sichuan University between January 2009 and December 2018 were retrospectively collected. We explained the surgical treatment of MDT in the management of renal SHPT, and compared the changes before and after the establishment of MDT.ResultsA total of 187 patients including 101 males and 86 females were enrolled, with an average age of (47.60±11.28) years old and median dialysis vintage of 7 years. Under MDT, the number of patients with parathyroidectomy increased [(8.50±5.10) vs. (59.50±2.12) patients/year, P<0.001] and the completion rate of preoperative examinations were greatly improved (P<0.001). The success rate of surgery was also increased (86.8% vs. 97.5%, P=0.010). Proportion of patients who were admitted to the Department of Nephrology was significantly increased (39.7% vs. 84.9%, P<0.001). Most patients after surgery were transferred to the Department of Endocrinology (5.9% vs. 77.3%, P<0.001) to manage postoperative complications and metabolic bone disease, and thus normalized the management of SHPT.ConclusionsThe MDT contributes to management of renal SHPT, which is worthy of popularization and spreading. The management of internal medicine departments during surgical treatment of SHPT based on MDT is important, because they can be helpful to complete preoperative examinations and preoperative preparation as well as to alleviate postoperative complications.
Blood purification, as a critical medical intervention for renal function replacement, metabolic waste clearance, and homeostasis maintenance, relies heavily on the optimization of therapeutic solutions to ensure clinical efficacy. In recent years, significant advancements have been made in the formulation design, biocompatibility, and clinical outcomes of blood purification solutions, driven by progress in clinical medicine and biomedical engineering. This article systematically elaborates on the latest research developments in key therapeutic solutions, including continuous renal replacement therapy replacement fluids, hemodialysis dialysate, hemodialysis catheter lock solutions, and peritoneal dialysate. By synthesizing current evidence, the aim is to offer scientific guidance for clinicians in selecting optimal treatment regimens while exploring future directions and emerging trends in the development of blood purification solutions.
Objective To investigate the risk factors of high peritoneal transport characteristics in patients with end-stage renal disease undergoing initial continuous ambulatory peritoneal dialysis. Method The clinical data of continuous ambulatory peritoneal dialysis patients who underwent initial peritoneal dialysis and catheterization in the Department of Nephrology, West China Hospital of Sichuan University from January 2011 to December 2017 and completed the peritoneal equilibration test were collected retrospectively. According to the ratio of dialysate to plasma ratio for creatinine at 4 hour [D/Pcr (4h)] in the standard peritoneal equilibration test, the patients were divided into 4 groups (low transport, low average transport, high average transport and high transport). Spearman correlation analysis was used to analyze the related factors of D/Pcr (4h). The risk factors of high peritoneal transport characteristics were analyzed by ordered multi classification logistic regression. Results A total of 647 patients were included. The average age of the patients was (45.85±14.03) years, and the average D/Pcr (4h) was 0.67±0.12. Among them, there were 89 cases (13.76%) in the high transport group, 280 cases (43.28%) in the high average transport group, 234 cases (36.17%) in the low average transport group and 44 cases (6.80%) in the low transport group. Diabetic patients with D/Pcr (4h) were higher than those without diabetes mellitus (0.72±0.12 vs. 0.66±0.12; t=−4.005, P<0.001). Correlation analysis showed that age and 24-h urine volume were positively correlated with D/Pcr (4h); serum albumin, triglyceride, potassium, calcium, magnesium, phosphorus, hemoglobin, serum uric acid and creatinine were negatively correlated with D/Pcr (4h); body surface area (BSA), high sensitivity C-reactive protein, ferritin, cholesterol, sodium, intact parathyroid hormone and estimated giomerular filtration rate had no correlation with D/Pcr (4h). Regression analysis showed that serum albumin [odds ratio (OR)=0.842, 95% confidence interval (CI) (0.809, 0.877), P<0.001], serum uric acid [OR=0.996, 95%CI (0.994, 0.998), P<0.001], magnesium [OR=0.389, 95%CI (0.156, 0.965), P=0.042], BSA [OR=3.916, 95%CI (1.121, 13.680), P=0.032] were correlated with the incidence of peritoneal high transport characteristics. Conclusion Low serum albumin, high BSA, low magnesium and low serum uric acid were independent risk factors for high transport characteristics in initial PD patients.
Acute kidney injury (AKI) is characterized by a rapid decrease in renal function caused by different etiologies and can involve multiple organs and systems. AKI is a potentially reversible disease. However, it can also progress to chronic kidney disease (CKD) without proper treatment. The concept of acute kidney disease (AKD) is recently recommended as a derivative between AKI and CKD. At present, AKI still lacks specific drug treatment; therefore prevention and early diagnosis are crucial in AKI management. Due to the heterogeneity of the pathogenesis, the epidemiological features of AKI vary across nations and regions, so the strategies for prevention and control are different. This papers reports new progress of epidemiological features of AKI in different countries, so as to provide reference for assessing the disease burden and formulating public health policies.