Objective To retrospectively analyze the clinical characteristics of different lactate trajectories in sepsis patients receiving mechanical ventilation (MV) and to investigate their associations with acute kidney injury (AKI) and in-hospital death risk, aiming to provide references for early renal protection in critically ill sepsis patients. Methods Data from sepsis patients receiving MV were extracted from the Medical Information Mart for Intensive Care Ⅳ (MIMIC-Ⅳ) database. The daily mean lactate values over the first 10 days were calculated. The latent class trajectory model (LCTM) was used to identify lactate trajectories over time and group the patients accordingly. AKI was the primary outcome measure, while in-hospital death was the secondary outcome measure. Logistic regression and Cox regression analyses were used to explore the associations between different lactate trajectories and these outcomes. Kaplan-Meier curves were drawn to compare in-hospital death risks among different lactate trajectory groups. Results A total of 2 062 MV-treated sepsis patients were included. After LCTM analysis, 1 396 patients were classified into the low lactate trajectory group, 451 into the moderate lactate trajectory group, and 215 into the high lactate trajectory group. After adjusting for confounding factors, the high lactate trajectory group was associated with an increased risk of AKI and in-hospital death (P<0.05). Conclusions In sepsis patients receiving MV, those with high lactate trajectories have a higher risk of AKI. Lactate trajectory changes can serve as an early assessment indicator for AKI and mortality risk in critically ill sepsis 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.
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.
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 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.
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.
ObjectiveTo determine value of texture analysis based on bi-phasic enhanced CT images in diagnosis of acute pancreatitis (AP) with acute renal injury (AKI).MethodsA total of 62 patients with clinically proven AP including 39 patients with AKI and 23 patients without AKI were analyzed retrospectively. The region of interest (ROI) was chosen at the axial CT-enhanced images of bilateral kidneys using the ITK-Snap software and the texture analysis was performed by the Analysis-Kinetics (A.K.) analysis software. Using the Analysis of Variance, Mann-Whitney U test, Spearman correlation analysis and LASSO regression to reduce the features dimension, and screening out the textures by the logistic regression. The receiver operating characteristic (ROC) curve was established to determine the diagnostic performance of the features.ResultsIn the total of 396 image histological features originally extracted from the texture analysis, 6 features were finally screened out through the dimensionality reduction, involving the Haralick correlation, Inertia, Mean value, Cluster prominence, Short run high grey level emphasis, and Surface area. The area under curve (AUC), threshold, sensitivity, specificity, and accuracy in diagnosing of AP with AKI respectively was 0.926, 0.619, 89.4%, 71.4% and 82.7% by the Haralick correlation; which respectively was 0.790, 0.665, 59.6%, 82.1%, 68.0% by the Inertia; which respectively was 0.983, 0.662, 89.4%, 100%, 93.3% by the Mean value; which respectively was 0.903, 0.696, 80.9%, 85.7%, 82.7% by the Cluster prominence; which respectively was 0.980, 0.778, 76.6%, 100%, 85.3% by the Short run high grey level emphasis; which respectively was 0.819, 0.604, 78.7%, 75.0%, 77.3% by the Surface area.ConclusionTextures of contrast-enhanced CT images have better resolving ability and higher accuracy in diagnosis of AP with AKI and diagnostic efficiency of Mean value is the best.
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.
ObjectiveTo analyze the risk factors for acute kidney injury (AKI) after off-pump coronary artery bypass grafting (OPCABG). Methods The PubMed, EMbase, The Cochrane Library, Web of Science, Wanfang data, CBM, VIP, CNKI were searched by computer for researches on risk factors associated with the development of AKI after OPCABG from the inception to March 2022. The meta-analysis was performed using RevMan 5.4 software. The Newcastle-Ottawa Scale (NOS) was used to evaluate the quality of included studies.ResultsA total of 18 researches were included, involving 9 risk factors. The NOS score of all included studies was≥6 points. Meta-analysis results showed that age [OR=1.03, 95%CI (1.01, 1.06), P=0.020], body mass index (BMI) [OR=1.10, 95%CI (1.05, 1.15), P<0.001], history of hypertension [OR=1.45, 95%CI (1.27, 1.66), P<0.001], history of diabetes [OR=1.50, 95%CI (1.33, 1.70), P<0.001], preoperative serum creatinine level [OR=2.05, 95%CI (1.27, 3.32), P=0.003], low left ventricular ejection fraction [OR=4.51, 95%CI (1.39, 14.65), P=0.010], preoperative coronary angiography within a short period of time [OR=2.10, 95%CI (1.52, 2.91), P<0.001], perioperative implantation of intra-aortic balloon pump [OR=3.42, 95%CI (2.26, 5.16), P<0.001], perioperative blood transfusion [OR=2.00, 95%CI (1.51, 2.65), P<0.001] were risk factors for AKI after OPCABG. ConclusionAge, BMI, history of hypertension, history of diabetes, preoperative serum creatinine level, low left ventricular ejection fraction, preoperative coronary angiography within a short period of time, perioperative implantation of intra-aortic balloon pump, perioperative blood transfusion are risk factors for AKI after OPCABG. Medical staff should focus on monitoring the above risk factors and early identifying, in order to prevent or delay the onset of postoperative AKI and promote early recovery of patients.
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.