Sepsis-associated acute kidney injury (SAKI) is a common complication of patients in intensive care unit, and also an independent risk factor leading to high mortality of sepsis patients. SAKI leads to an extended hospital stay for patients, resulting in a huge medical burden. The pathogenesis of SAKI is complex, and systemic inflammatory response plays an important role in it. At present, blood adsorption is the main method for treating SAKI in intensive care units, but there is no consensus on the relevant treatment strategies. This article summarizes new perspectives and research conclusions on the application of blood adsorption technology in the treatment of SAKI, aiming to provide new references for the blood adsorption treatment strategies of SAKI.
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.
Rhabdomyolysis-induced acute kidney injury (RIAKI) is a serious clinical disease in intensive care unit, characterized by high mortality and low cure rate. Continuous renal replacement therapy (CRRT) is a common form of treatment for RIAKI. There are currently no guidelines to guide the application of CRRT in RIAKI. To solve this problem, this article reviews the advantages and limitations of CRRT in the treatment of RIAKI, as well as new viewpoints and research progress in the selection of treatment timing, treatment mode, treatment dose and filtration membrane, with the aim of providing theoretical guidance for the treatment of CRRT in RIAKI patients.
Objective To explore the risk factors affecting the prognosis of patients with acute kidney injury (AKI) after extracorporeal circulation surgery who receive continuous renal replacement therapy (CRRT). Methods Patients who developed AKI and underwent CRRT treatment after extracorporeal circulation surgery at the First Affiliated Hospital of Chongqing Medical University between May 2019 and May 2024 were retrospectively selected. According to the prognosis, patients were divided into the good prognosis group and the poor prognosis group. Basic information, duration of extracorporeal circulation during surgery, aortic occlusion time, timing and duration of CRRT initiation therapy, relevant laboratory indicators before surgery, during CRRT intervention, and upon discharge or death were collected. The risk factors affecting the prognosis of such patients were analyzed. Results A total of 45 patients were included. Among them, there were 20 cases in the good prognosis group and 25 cases in the poor prognosis group. There was no statistically significant difference in the basic information between the two groups (P>0.05). Compared with the poor prognosis group, the good prognosis group had decreased preoperative urea nitrogen and increased hemoglobin levels, reduced levels of alanine aminotransferase and aspartate aminotransferase during the initiation of CRRT treatment, and reduced levels of white blood cell count, neutrophil percentage, alanine aminotransferase and aspartate aminotransferase and elevated platelet count before discharge or death (P<0.05). The results of multivariate logistic regression analysis showed that the total duration of CRRT treatment [odds ratio (OR)=1.007, 95% confidence interval (CI) (1.000, 1.015), P=0.046], white blood cell count before discharge or death [OR=1.541, 95%CI (1.011, 2.349), P=0.044], and platelet count before discharge or death [OR=0.964, 95%CI (0.937, 0.991), P=0.010] could affect patient prognosis. Conclusions In patients with AKI after extracorporeal circulation surgery, if combined with renal dysfuction and anemia before surgery, liver function damage and secondary infection during CRRT initiation therapy may be related to poor patient prognosis. The longer the duration of CRRT treatment, the higher the white blood cells before discharge or death, and the lower the platelet count are independent risk factors for poor prognosis in patients.
After comparative interpretation of the essentials and highlights of the expert recommendations based on European experience published in 2019 and the expert recommendations based on Asia Pacific experience published in 2021, this article summarizes the core principles of adsorptive hemofiltration for sepsis in following aspects, including patient selection, laboratory index, and key factors in the implementation of treatment (covering initiation timing and duration, choice of anticoagulant mode, discontinuation, etc) combined with the experience in West China Hospital of Sichuan University as well, to provide references for sepsis management with adsorptive hemofiltration in clinical practice.
Objective To summarize the research progress of acute kidney injury after liver transplantation. Method The literatures on acute kidney injury after liver transplantation was collected and reviewed. Results Acute kidney injury after liver transplantation was associated with multiple risk factors. Early prevention and treatment of risk factors in perioperative period was the main measure to reduce acute kidney injury after liver transplantation. Early postoperative diagnosis and timely intervention could reduce the incidence of chronic kidney disease and improve the long-term prognosis of liver transplantation recipients. Conclusion Acute kidney injury is a common complication after liver transplantation which affects prognosis and long-term survival of patients.
ObjectiveTo analyze the thyroid hormone levels in patients with acute type A aortic dissection (ATAAD) and assess its clinical significance.MethodsWe included 88 patients with ATAAD who underwent surgical treatment in Beijing Anzhen Hospital between January 2018 and August 2018. Meanwhile, we extracted 187 blood samples of healthy people from our laboratory (Beijing Lab for Cardiovascular Precision Medicine, Beijing, China) as control group. Examining preoperative thyroid hormone levels and perioperative serum creatine for patients and examining thyroid hormone levels for healthy people. Based on difference in thyroid hormone levels between patients and healthy people, we divide patients into abnormal thyroid hormone groups and control groups, analyzing the relationship between thyroid hormone levels and variance of postoperative serum creatinine.ResultsPatients with ATAAD have lower total triiodothyronine (TT3), thyrotropin (TSH), free triiodothyronine (FT3) and higher free thyroxine (FT4) levels than healthy people (respectively, P<0.001, P<0.001, P<0.001 and P<0.001). What’s more, patients with ATAAD who had low TT3 before operation had higher elevation of postoperative serum creatinine and rate of acute kidney injury(P=0.019).CONCLUSIONSPatients with ATAAD have different thyroid hormone levels than healthy people, preoperative TT3 is associated with elevation of postoperative serum creatinine and occurrence of acute kidney injury. Thyroid function measurement should be a routine preoperative examination in patients with ATAAD.
Sepsis is a common clinical critical illness, which often leads to multiple organ damage including the kidney damage, which is difficult to treat and has a high mortality rate. In recent years, extracorporeal blood purification therapy has made some progress in the field of sepsis. There are a variety of blood purification modes to choose, but there is still no unified standard for the initiation timing of blood purification therapy. Clinicians mainly evaluate the indicators and the initiation timing of blood purification therapy according to the patient’s needs for renal function replacement and/or inflammatory mediator clearance. This article mainly summarizes and discusses the initiation timing of blood purification therapy in sepsis.
ObjectiveTo conduct a comprehensive analysis of risk prediction models for acute kidney injury (AKI) following Stanford type A aortic dissection surgery through a systematic review. MethodsA systematic search was performed in English and Chinese databases such as PubMed, EMbase, ProQuest, Web of Science, China National Knowledge Infrastructure (CNKI), VIP, Wanfang, and SinoMed to collect relevant literature published up to January 2025. Two researchers completed the literature screening and data extraction. The methodological quality of the prediction models was assessed using bias risk assessment tools, and a meta-analysis was performed using R version 4.3.1, with a focus on evaluating the predictive factors of the models. Results A total of 15 studies were included (13 retrospective cohort studies, 1 prospective cohort study, and 1 case-control study), involving 22 risk prediction models and a cumulative sample size of 4 498 patients. The overall applicability of the included studies was good, but all 15 studies exhibited a high risk of bias. The meta-analysis revealed that the area under the curve (AUC) for the predictive performance of the models was 0.834 [95%CI (0.798, 0.869)]. Further subgroup analysis indicated that the number of predictive factors was a source of heterogeneity. Additionally, hypertension [OR=2.35, 95%CI (1.55, 3.54)], serum creatinine [OR=1.01, 95%CI (1.00, 1.01)], age [OR=1.05, 95%CI (1.02, 1.09)], and white blood cell count [OR=1.14, 95%CI (1.06, 1.22)] were identified as predictors of AKI following type A aortic dissection surgery. Conclusion Currently, the predictive models for AKI after type A aortic dissection surgery demonstrate good performance. However, all included models carry a high risk of bias. It is recommended to strengthen multicenter prospective studies and external validation of the models to enhance their clinical applicability.
ObjectiveTo systematically evaluate the risk factors of acute kidney injury after surgery for acute type A aortic dissection.MethodsWe searched the CNKI, Wanfang Database, VIP, PubMed, Web of science, Cochrane Library (from inception to January 2019) to identify studies about the risk factors of acute kidney injury after surgery for acute type A aortic dissection. Quality of the included studies was evaluated by Kars-Ottawa scale. The meta-analysis was performed by RevMan 5.3 software.ResultsA total of 16 case-control studies were included involving 1 728 patients. The results of meta-analysis showed that gender (OR=1.58, 95% CI 1.31 to 1.89, P<0.001), body mass index (OR=1.05, 95% CI 0.66 to 1.45, P<0.001), hypertension (OR=1.58, 95% CI 1.10 to 2.26, P=0.010), smoking history (OR=1.71, 95% CI 1.12 to 2.61, P=0.010), preoperative serum creatinine level (OR=30.26, 95% CI 20.17 to 40.35, P<0.000 01), preoperative white blood cell (OR=1.73, 95% CI 0.26 to 3.20, P=0.020), extracorporeal circulation time (OR=25.60, 95% CI 21.13 to 30.08, P<0.000 01), aortic occlusion time (OR=13.24, 95% CI 10.27 to 16.22, P<0.001), deep hypothermic circulatory arrest (DHCA) time (OR=2.58, 95% CI 0.86 to 4.29, P=0.003), arch replacement (OR=2.31, 95% CI 1.31 to 4.07, P=0.004), intraoperative blood transfusion (OR=1.27, 95% CI 0.29 to 2.24, P=0.010), postoperative mean arterial pressure (OR=–2.41, 95% CI –4.59 to –0.24, P=0.030), reoperation due to postoperative hemorrhage (OR=4.19, 95% CI 2.04 to 8.63, P<0.001), postoperative acute respiratory insufficiency (OR=6.61, 95% CI 3.21 to 13.60, P<0.001), postoperative mechanical ventilation time (OR=48.51, 95% CI 21.94 to 75.09, P<0.001) were associated with acute kidney injury after surgery for acute type A aortic dissection.ConclusionCurrent evidence shows that gender, body mass index, hypertension, smoking history, preoperative serum creatinine level, preoperative white blood cell, extracorporeal circulation time, aortic occlusion time, deep hypothermic circulatory arrest (DHCA) time, arch replacement, intraoperative blood transfusion, postoperative mean arterial pressure, postoperative hemorrhage reoperation, postoperative acute respiratory insufficiency and postoperative mechanical ventilation time were risk factors for acute kidney injury after surgery for type A aortic dissection. Medical staff can strengthen perioperative management of patients with acute type A aortic dissection combined with the above factors, so as to reduce the incidence of acute kidney injury after operation and improve the clinical prognosis of patients.