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.
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.
Objective To identify risk factors for death in patients with rhabdomyolysis-induced acute kidney injury (RI-AKI) treated with continuous renal replacement therapy (CRRT), then to develop and validate the efficacy of prediction models based on these risk factors. Methods Clinical data and prognostic information of patients with RI-AKI requiring CRRT from 2008 to 2019 were extracted from the MIMIC-IV 2.2 database. The enrolled patients were divided into a training set and a test set at a ratio of 7∶3. LASSO regression, random forest (RF) and extreme gradient boosting (XGBoost) were used to identify the risk factors affecting patients’ 28-day survival in the training set, then to develop logistic model, RF model, support vector machine (SVM) model and XGBoost model. The accuracy of above prediction models and the area under the receiver operating characteristic curve (AUC) were calculated in the test set. Results A total of 175 patients were included. Lactic acid, age, Acute Physiology Score Ⅲ, hemoglobin, mean arterial pressure and body mass index measured at intensive care unit admission were identified as the six risk factors affecting 28-day survival of enrolled patients by LASSO regression, RF and XGBoost. The accuracy of the logistic model, RF model, SVM model and XGBoost model in the test set was 0.75, 0.79, 0.79 and 0.81, with the AUC of 0.82, 0.85, 0.87 and 0.87, respectively. Conclusion The XGBoost model, incorporating six risk factors including lactic acid, age, Acute Physiology Score Ⅲ, hemoglobin, mean arterial pressure, and body mass index assessed at the time of admission to the intensive care unit, demonstrates superior clinical predictive performance, thereby enhancing the clinical decision-making process for healthcare professionals.
ObjectiveTo compare the impact of cardiopulmonary coronary artery bypass grafting (CCABG) and off-pump coronary artery bypass grafting (OPCAB) on the incidence of postoperative acute kidney injury (AKI) in the elderly patients (age≥70 years). MethodsThe clinical data of the isolated coronary artery bypass grafting (CABG) patients (age≥70 years) in our center from January 1, 2009 to December 31, 2017 were collected and retrospectively analyzed. The patients with long-term dialysis, missing serum creatinine data, emergent surgery or CABG combined with other cardiac procedures were excluded. Totally there were 3 346 patients undergoing isolated CABG, and finally 1 405 patients (age≥70 years) entered the study. The elderly patients were divided into a CCABG group (956 patients) and an OPCAB group (449 patients) according to whether they used extracorporeal circulation. The incidence and severity of postoperative AKI in the two groups were compared. Results AKI occurred in 306 (32.0%) patients in the CCABG group and in 138 (30.7%) patients in the OPCAB group with no significant difference (P=0.677). According to the acute kidney injury network (AKIN) criteria, the severity of AKI in the CCABG vs. OPCAB was as followings, AKIN stage Ⅰ: 211 (22.1%) vs. 93 (20.7%); AKIN stage Ⅱ: 51 (5.3%) vs. 23 (5.1%); and AKIN stage Ⅲ: 44 (4.6%) vs. 22 (4.9%) with no significant difference (P=0.579, 1.000 and 0.788). There was no significant difference in the new onset of dialysis between the CCABG group (31 patients, 3.2%) and the OPCAB group (10 patients, 2.2%, P=0.376). Conclusion AKI is a common complication in the elderly CABG patients, with AKIN stage Ⅰ accounting for the most proportion, but rate of postoperative renal replacement therapy is low. Compared with CCABG, OPCAB is not associated with a significantly low rate or reduced severity of AKI in elderly 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.
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 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.
ObjectiveTo explore the correlation between perioperative blood transfusion and acute kidney injury (AKI) after heart transplantation.MethodsA retrospective study was performed on 67 patients who underwent heart transplantation in the Department of Cardiac Surgery, Guangdong Provincial People's Hospital from January 2016 to December 2018, and finally 63 patients were included according to the exclusion criteria. There were 53 males and 10 females with an average age of 44.3±12.9 years. Twenty patients who adopted continuous renal replacement therapy (CRRT) after heart transplantation were divided into a RT group and the other 43 patients who did not use CRRT were divided into a non-RT group. Baseline characteristics, perioperative blood transfusion data and clinical prognosis were compared between the two groups.ResultsThe preoperative baseline characteristics of the two groups were basically the same. There were significant differences in perioperative infusion of red blood cells and plasma, postoperative 24 h bleeding and re-exploration (P<0.05) between the two groups. The area under the receiver operating characteristic (ROC) curve was 0.923 (95%CI 0.852 to 0.995, P<0.001). The ROC curve showed that perioperative infusion of red blood cells more than 18 mL/kg would increase the incidence of AKI after heart transplantation.ConclusionPerioperative blood transfusion is closely related to AKI after heart transplantation. The more blood transfusion is in clinics, the higher incidence of renal injury is and the worse prognosis is. It is suggested that various blood-saving measures can be carried out.
Acute kidney injury (AKI) is a complication with high morbidity and mortality after cardiac surgery. In order to predict the incidence of AKI after cardiac surgery, many risk prediction models have been established worldwide. We made a detailed introduction to the composing features, clinical application and predictive capability of 14 commonly used models. Among the 14 risk prediction models, age, congestive heart failure, hypertension, left ventricular ejection fraction, diabetes, cardiac valve surgery, coronary artery bypass grafting (CABG) combined with cardiac valve surgery, emergency surgery, preoperative creatinine, preoperative estimated glomerular filtration rate (eGFR), preoperative New York Heart Association (NYHA) score>Ⅱ, previous cardiac surgery, cadiopulmonary bypass (CPB) time and low cardiac output syndrome (LCOS) are included in many risks prediction models (>3 times). In comparison to Mehta and SRI models, Cleveland risk prediction model shows the best discrimination for the prediction of renal replacement therapy (RRT)-AKI and AKI in the European. However, in Chinese population, the predictive ability of the above three risk prediction models for RRT-AKI and AKI is poor.
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.
