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 identify the predictors of postoperative acute kidney injury in patients undergoing surgery for Stanford type A acute aortic dissection. MethodsA total of 220 patients who underwent surgery for type A acute aortic dissection in Qingdao Municipal Hospital from September 2010 to September 2017 were divided into two groups including a group A and a group B based on whether acute kidney injury occurred or not after surgery. There were 40 patients with 29 males and 11 females with the mean age of 54.6±9.2 years in the group A, 180 patients with 133 males and 47 females with the mean age of 48.5±7.9 years in the group B. Univariate and multivariate analyses (logistic regression) were used to identify the predictive risk factors.ResultsOverall in-hospital mortality was 5.5%. In univariate analysis, there were statistically significant differences with respect to the age, preoperative creatinine, preoperative white blood cell, the European system for cardiac operative risk evaluation (EuroSCORE), total cardiopulmonary bypass (CPB) time, deep hypothermic circulatory arrest (DHCA) time, arch replacement, red blood cell transfusion intraoperative and in 24 hours postoperatively, postoperative mechanical ventilation time, ICU stay duration, hospital stay duration and in hospital mortality. Multivariate logistic analysis showed that preoperative creatinine, preoperative white blood cell, CPB time, and red blood cell transfusion intraoperative and in 24 hours postoperatively were the independent predictors for postoperative acute kidney injury.ConclusionThe incidence of acute kidney injury is high after surgery for acute Stanford type A aortic dissection. It can be predicted based on above factors, for patients with these risk factors, more perioperative care strategies are needed in order to induce the incidence of acute kidney injury.
Objective To investigate the effect of monocyte count to high density lipoprotein ratio (MHR) on early complications after off-pump coronary artery bypass grafting and to explore the predictive factors for early complications in patients after off-pump coronary artery bypass grafting. Methods The clinical data of patients who underwent simple off-pump coronary artery bypass grafting from October 2021 to September 2023 in our hospital were retrospectively analyzed. The patients were divided into a low value group and a high value group according to the median MHR value. The clinical data of the two groups were compared, and binary logistic regression analysis was used to explore the and predictors of atrial fibrillation (AF) and acute kidney injury (AKI) after coronary artery bypass grafting. Results A total of 220 patients were included, with a median MHR of 0.48. There were 108 patients in the low value group (MHR<0.48), including 71 males and 37 females, with an average age of 65.28±7.85 years. There were 112 patients in the high-value group (MHR≥0.48), including 84 males and 28 females, with an average age of 64.57±8.75 years. There was no statistical difference between the two groups in terms of general basic data such as gender or age (P>0.05). The incidence of postoperative AF and AKI in the high-value group was significantly higher than that in the low-value group (P<0.05), and no statistical difference in terms of other postoperative complications was observed. Binary logistic regression analysis showed that MHR was a risk factor for postoperative AKI and postoperative AF (P<0.05). Conclusion The study shows that MHR is a risk factor for new-onset AF and AKI after coronary artery bypass grafting.
Cell senescence is a state of irreversible cell cycle arrest and simultaneously secretes inflammatory factors, chemokines and other senescence-associated secretory phenotype (SASP), which plays an important role in the progression of kidney diseases, metabolic diseases and other diseases. Renal tubular cell (RTC) senescence is a key cellular biological event in the progression of acute kidney injury (AKI). Senescent RTCs not only inhibit the regeneration and repair of AKI, but also release SASP to promote the progression of AKI. Inhibition of RTC senescence, targeted removal of senescent RTCs or promotion of senescent RTCs apoptosis could improve the prognosis of AKI, indicating that these methods have broad application prospects.
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 assess the relationship between the change in fluid overload at 48 h after initiation of continuous renal replacement therapy (CRRT) and 28-day mortality in critically ill patients with acute kidney injury (AKI). Methods A retrospective cohort study was performed using data from the MIMIC-IV database from 2008 to 2019. Patients who received CRRT for AKI for more than 24 h within 14 d of admission to the intensive care unit were included. The exposure variable was the proportion of change of fluid overload (ΔFO%, defined as the difference between body weight normalized fluid input and output) at 48 h after CRRT initiation, and the endpoint was 28-day mortality. Generalized additive linear regression models and logistic regression models were used to determine the relationship between the exposure and endpoint. Results A total of 911 patients were included in the study, with a median (lower quartile, upper quartile) ΔFO% of −3.27% (−6.03%, 0.01%) and a 28-day mortality of 40.1%. Generalized additive linear regression model showed that the ΔFO% at 48 h after CRRT initiation was associated with a J-shaped curve with 28-day mortality. After adjusting for other variables, as compared with the second quartile of ΔFO% group, the first quartile group [odds ratio (OR)=1.23, 95% confidence interval (CI) (0.81, 1.87), P=0.338] was not associated with higher risk of 28-day mortality, while the third quartile group [OR=1.54, 95%CI (1.01, 2.35), P=0.046] and the fourth quartile group [OR=2.05, 95%CI (1.32, 3.18), P=0.001] were significantly associated with higher risk of 28-day mortality. There was no significant relationship between ΔFO% groups and 28-day mortality in the first 24-hour after CRRT initiation (P>0.05), but there was a linear relationship between ΔFO% and 28-day mortality in the second 24-hour after CRRT initiation, the larger the ΔFO%, the higher the mortality rate [OR=1.10, 95%CI (1.04 1.16), P<0.001 for per 1% increase]. ConclusionIn critically ill patients with AKI, the ΔFO% greater than −3.27% within 48 h after CRRT initiation is independently associated with an increased risk of 28-day mortality, and the goals of CRRT fluid management may be dynamical.
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.
Most patients with coronavirus disease 2019 (COVID-19) have a good prognosis, but a certain proportion of the elderly and people with underlying diseases are still prone to develop into severe and critical COVID-19. Kidney is one of the common target organs of COVID-19. Acute kidney injury (AKI) is a common complication of severe COVID-19 patients, especially critical COVID-19 patients admitted to intensive care units. AKI associated with COVID-19 is also an independent risk factor for poor prognosis in patients. This article mainly focuses on the epidemiological data, possible pathogenesis, diagnostic criteria, and prevention and treatment based on the 5R principle of AKI associated with COVID-19. It summarizes the existing evidence to explore standardized management strategies for AKI associated with COVID-19.
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.
ObjectiveTo investigate the prognosis and impact of postoperative acute kidney injury (AKI) on patients with acute Stanford type A aortic dissection (ATAAD), and to analyze the predictors for short- and medium-term survival. MethodsClinical data of patients who underwent ATAAD surgery in Qingdao Municipal Hospital from May 2014 to May 2019 were retrospectively analyzed. All discharged patients underwent telephone or outpatient follow-up, and were divided into an AKI group and a non-AKI group based on whether AKI occurred after surgery. The impact of postoperative AKI on the short- and medium-term prognosis was analyzed, and multivariate Cox analysis was used to screen the risk factors for short- and medium-term mortality. ResultsA total of 192 patients were collected, including 139 males and 53 females, with an average age of 53.3±11.4 years. Postoperative AKI was identified in 43 (22.4%) patients. The average follow-up time of discharged patients was 23.4±2.4 months, and the lost rate was 5.1%. The two-year survival rate after discharge of the AKI group was 88.2%, and that of the non-AKI group was 97.2%. Kaplan-Meier survival analysis and log-rank test showed that there was a statistical difference between the two groups (χ2=5.355, log-rank P=0.021). Multivariate Cox analysis results showed that age (HR=1.070, 95%CI 1.026 to 1.116, P=0.002), cardiopulmonary bypass time (HR=1.026, 95%CI 1.003 to 1.050, P=0.026), postoperative AKI (HR=3.681, 95%CI 1.579 to 8.582, P=0.003), transfusion volume of red blood cell intraoperatively and within 24 hours postoperatively (HR=1.548, 95%CI 1.183 to 2.026, P=0.001) were independent risk factors for the short- and medium-term mortality of ATAAD patients. ConclusionThe incidence of postoperative AKI is high in ATAAD patients, and the mortality of patients with AKI increases significantly within two years. Age, cardiopulmonary bypass time and transfusion volume of red blood cell intraoperatively and within 24 hours postoperatively are also independent risk factors for short- and medium-term prognosis.