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.
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.
The presence of thrombus on the surface of blood-contacting biomaterials in clinical practice can significantly impact both the longevity of the biomaterials and the overall survival prognosis of patients. The administration of anticoagulant and antiplatelet medications may heighten the risk of systemic bleeding. Developing biomaterials with anti-thrombogenetic properties and enabling localized anti-thrombosis may offer a solution to these challenges. The development strategies for anti-thrombogenetic biomaterials can be categorized into three main approaches based on the mechanisms of thrombus formation on biomaterial surfaces: altering physical and chemical properties, designing coatings containing or releasing active substances, and promoting endothelialization. However, due to the intricate and interconnected nature of these mechanisms, biomaterials constructed using a single approach may not effectively prevent thrombus formation. The collaborative intervention of various mechanisms can facilitate the development of biomaterials with enhanced blood compatibility.
Patients undergoing maintenance hemodialysis are characterized with lower cardiorespiratory capacity and muscle atrophy, thus easily leading to a sedentary lifestyle. These patients are usually associated with lower quality of life and worse prognosis. Evidence indicates appropriate exercise rehabilitation plan could help maintenance hemodialysis patients achieve better health outcomes. However, there is still a lack of evidence data to precisely recommend exercise type, intensity, frequency and timing specially designed for maintenance hemodialysis patients. This article aims to summarize the existing expert consensus on exercise rehabilitation for maintenance hemodialysis patients, important considerations in the implementation process, factors that affect exercise rehabilitation, with a view to encouraging maintenance hemodialysis patients to participate in the development of appropriate exercise rehabilitation plan and maximize health benefits.
Acute kidney injury (AKI) presents as a sharp decline in renal function caused by a variety of reasons. It is a severe clinical challenge affecting multiple organs and multiple systems, with high mortality. Continuous renal replacement therapy (CRRT) plays an important role in the treatment of AKI. Limited by the lack of evidence, the timing of CRRT for AKI remains ambiguous. This article reviews the definition and grading of AKI, the indication and the timing of initiation/termination of CRRT for AKI .