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.
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.
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.
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.
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.