ObjectiveTo explore the correlation of serum lipocalin-2 (LCN2) with inflammation and the predictive value of LCN2 for detecting acute kidney injury (AKI) in acute pancreatitis (AP).MethodsNighty-one patients with AP, who were admitted to Bazhong Municipal Hospital of Traditional Chinese Medicine between June 2016 and June 2018, were enrolled in the present study. Clinical paramaters were analyzed between patients with AKI (n=29) and patients without AKI (n=62). The correlation of serum LCN2 with inflammation was assessed with Pearson’s correlation analysis. The area under the receiver operating characteristic curve (ROC AUC) for serum LCN2 predicting AKI in AP patients was assessed.ResultsCompared with the patients without AKI, the patients with AKI showed increased serum levels of C-reactive protein [(64.8±10.5) vs. (148.3±21.6) mg/L], procalcitonin [(3.5±2.3) vs. (4.8±3.9) μg/L], urea nitrogen [(5.5±2.1) vs. (6.6±2.8) mmol/L], creatinine [(80.3±28.1) vs. (107.3±30.8) μmol/L], interleukin-6 [(10.1±3.7) vs. (16.2±4.6) pg/mL], and LCN2 [(155.0±37.6) vs. (394.8±53.1) mg/mL], as well as decreased level of calcium [(2.6±1.3) vs. (2.0±1.0) mmol/L], the differences were all statistically significant (P<0.05). The serum level of LCN2 was correlated with C-reactive protein (r=0.694, P<0.05), interleukin-6 (r=0.762, P<0.05), and procalcitonin (r=0.555, P<0.05) in patients with AP. The ROC AUC of LCN2 for predicting AKI was 0.844 (P<0.05) , with a sensitivity of 81.3% and a specificity of 81.4% when the cut-off value was 210.2 ng/mL.ConclusionsSerum LCN2 concentration is elevated in patients with AKI. In patients with AP, serum LCN2 level is positively correlated with C-reactive protein, interleukin-6, and procalcitonin. It can be regarded as a reliable indicator for predicting AKI.
Acute kidney injury is a common complication in the critically ill patients with high morbidity and mortality. Continuous renal replacement therapy (CRRT) is one of the most important treatments for the disease. The timing of starting and stopping of CRRT is often a matter of choice for clinicians. Early stopping of CRRT may lead to inadequate treatment, recurrent disease and poor prognosis, while excessive treatment of CRRT may prolong the hospital stay, increase medical costs and increase the risk of CRRT-related complications. In order to illustrate the proper stopping time of CRRT, this paper summarizes the research progress of the clinical indicators and biomarkers by reviewing relevant domestic and foreign data.
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.
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.
ObjectiveTo investigate the protective effects and mechanism of selective histone deacetylases 6 (HDAC6) inhibitor 23BB in myoglobin-induced proximal tubular cell lines (HK-2).MethodsHK-2 cells were divided into 5 groups, including control group, myoglobin (200 μmol/L) group, myoglobin (200 μmol/L)+23BB (1.25 nmol/L) group, myoglobin (200 μmol/L)+4-phenylbutyric acid (2 mmol/L) group, and myoglobin (200 μmol/L)+23BB (1.25 nmol/L)+tunicamycin (25 ng/mL) group. Cells were collected at 24 hours after treatment. The endoplasmic reticulum (ER) stress-related gene mRNA level and marker protein expression were evaluated by RT-PCR and Western blotting, including glucose regulated protein 78 (GRP78), C/EBP homology protein (CHOP), inositol-requiring enzyme 1 (IRE1), PKR-like ER kinase (PERK), and activating transcription factor 6.ResultsIn in vitro study, ER stress-related mRNA of GRP78, IRE1α, PERK, and CHOP and marker protein expression of GRP78 and CHOP were found to increase in response to myoglobin treatment. Either administration of 23BB or 4-PBA could alleviate myoglobin-induced these changes.ConclusionThe protective effect of HDAC6 inhibitor 23BB is through the inhibition of myoglobin-induced ER stress in HK-2 cells.
Augmenter of liver regeneration (ALR) is a newly discovered cytokine that can promote liver regeneration and proliferation of damaged liver cells. In the renal tissue, ALR is mainly expressed in the cytoplasm of the medullary loops, collecting ducts and distal convoluted tubules in the renal medulla, and is low in the glomerular and cortical tubules. Various stimulation, such as ischemiacal, hypoxia, poisoning and inflammatory stimulation, can induce the expression of ALR in the epithelial cells of proximal tubule regeneration and the damaged areas of cortex, and participate in the repair process. Current studies have found that in acute kidney injury (AKI), exogenous ALR can protect renal tubular epithelial cells by inhibiting apoptosis of renal tubular epithelial cells, promoting proliferation of renal tubular epithelial cells, inhibiting the activities of inflammatory cells, and promoting the reduction of renal injury. This paper intends to review the basic characteristics of ALR and the pathogenesis of AKI, summarize the characteristics of the mechanism of ALR in AKI by combing the relevant literature on ALR and AKI in recent years, and provide knowledge reserve and direction reference for the in-depth study of ALR in kidney in the future.
Continuous renal replacement therapy (CRRT) is one of the important therapeutic techniques for critically ill patients. In recent years, the field of artificial intelligence has developed rapidly and has been widely applied in manufacturing, automotive, and even daily life. The development and application of artificial intelligence in the medical field are also advancing rapidly, and artificial intelligence radiographic imaging result judgment, pathological result judgment, patient prognosis prediction are gradually being used in clinical practice. The development of artificial intelligence in the field of CRRT has also made rapid progress. Therefore, this article will elaborate on the current application status of artificial intelligence in CRRT, as well as its future prospects in CRRT, so as to provide a reference for understanding the application of artificial intelligence in CRRT.
ObjectiveTo investigate the incidence of acute kidney injury (AKI) after deep hypothermic circulatory arrest (DHCA), to explore the risk factors and prognosis of postoperative AKI, and to establish a relatively accurate preoperative risk assessment strategy and prevention measures.MethodsThe clinical data of 252 patients who underwent deep hypothermic circulatory surgery in our hospital from January 2014 to October 2018 were retrospectively analyzed. There were 179 males and 73 females with an average age of 53.6±11.6 years. The patients were divided into an AKI group and a non-AKI group according to the AKI diagnostic criteria developed by kidney disease improving global outcomes (KDIGO). The data of the two groups were compared, and the risk factors related to AKI after DHCA were analyzed by single factor and multivariate logistic regression.ResultsAmong the 252 patients enrolled, the incidence of AKI was 69.0%. The postoperative hospital mortality rate was 7.9% (20/252). The univariate analysis showed that the patient's age and body mass index (BMI)≥28 kg/m2, left ventricular ejection fraction<55%, preoperative serum creatinine (Scr)≥110 μmol/L, preoperative estimated glomerular filtration rate (eGFR), Cleveland score and intraoperative cardiopulmonary bypass time, intraoperative infusion of red blood cells, intraoperative infusion of plasma, postoperative mechanical ventilation time≥40 h and other indicators were significantly different between the two groups (P<0.05); multivariate logistic regression analysis showed that there was significant difference between the two groups in age (OR=1.040, 95% CI 1.017–1.064, P=0.001), BMI≥28 kg/m2 (OR=2.335, 95%CI 1.093–4.990, P=0.029), eGFR<90 mL/(min·1.73 m2) (OR=2.044, 95%CI 1.082–3.863, P=0.028), preoperative Cleveland score (OR=1.300, 95%CI 1.054–1.604, P=0.014) and intraoperative cardiopulmonary bypass time (OR=1.009, 95%CI 1.002–1.017, P=0.014).ConclusionThe incidence of AKI is higher after DHCA. Patients with postoperative AKI have longer hospital stay and higher risk of hospitalization death. The age of patients, BMI≥28 kg/m2, eGFR<90 mL/(min·1.73) m2, Cleveland score, intraoperative extracorporeal circulation time are independent risk factors for AKI after DHCA.
Abstract： Objective To evaluate the incidence and prognosis of postoperative acute kidney injury （AKI） in patients after cardiovascular surgery， and analyse the value of AKI criteria and classification using the Acute Kidney Injury Network （AKIN） definition to predict their in-hospital mortality. Methods A total of 1 056 adult patients undergoing cardiovascular surgery in Renji Hospital of School of Medicine， Shanghai Jiaotong University from Jan. 2004 to Jun. 2007 were included in this study. AKI criteria and classification under AKIN definition were used to evaluate the incidence and in-hospital mortality of AKI patients. Univariate and multivariate analyses were used to evaluate preoperative， intraoperative， and postoperative risk factors related to AKI. Results Among the 1 056 patients， 328 patients（31.06%） had AKI. In-hospital mortality of AKI patients was significantly higher than that of non-AKI patients （11.59% vs. 0.69%， P＜0.05）. Multivariate logistic regression analysis suggested that advanced age （OR=1.40 per decade）， preoperative hyperuricemia（OR=1.97）， preoperative left ventricular failure （OR=2.53）， combined CABG and valvular surgery （OR=2.79）， prolonged operation time （OR=1.43 per hour）， postoperative hypovolemia （OR=11.08） were independent risk factors of AKI after cardiovascular surgery. The area under the ROC curve of AKIN classification to predict in-hospital mortality was 0.865 （95% CI 0.801-0.929）. Conclusion Higher AKIN classification is related to higher in-hospital mortality after cardiovascular surgery. Advanced age， preoperative hyperuricemia， preoperative left ventricular failure， combined CABG and valvular surgery， prolonged operation time， postoperative hypovolemia are independent risk factors of AKI after cardiovascular surgery. AKIN classification can effectively predict in-hospital mortality in patients after cardiovascular surgery， which provides evidence to take effective preventive and interventive measures for high-risk patients as early as possible.
ObjectiveTo investigate the renal function recovery and perioperative risk factors for chronic kidney disease in patients after acute Stanford type A aortic dissection (ATAAD) repair. MethodsA retrospective study was conducted on patients who underwent ATAAD repair at the Xiamen Cardiovascular Hospital, Xiamen University from 2020 to 2021, and their clinical data were analyzed. ResultsA total of 255 patients were included, with 200 males and 55 females, and an average age of (52.80±12.46) years. The incidence of acute kidney injury (AKI) after ATAAD repair was 43.9%. Dissection involving the renal artery [OR=2.144, 95%CI (1.234, 3.765), P=0.007], intraoperative urine output [OR=0.761, 95%CI (0.625, 0.911), P=0.004], and intraoperative red blood cell transfusion [OR=1.288, 95%CI (1.088, 1.543), P=0.004] were significantly associated with early AKI after ATAAD repair. Long-term renal function follow-up data were available for 232 patients, among whom 40 (17.2%) patients developed chronic kidney disease (CKD). Independent predictors for CKD included lower body mass index [OR=0.827, 95%CI (0.723, 0.931), P=0.003], preoperative cardiac tamponade [OR=5.344, 95%CI (1.65, 17.958), P=0.005], preoperative renal hypoperfusion syndrome [OR=12.629, 95%CI (5.003, 35.373), P<0.001], postoperative peak serum creatinine time>3 d [OR=7.566, 95%CI (2.799, 22.731), P<0.001], and AKI grade [grade 1: OR=4.418, 95%CI (1.339, 15.361), P=0.016; grade 2: OR=8.345, 95%CI (1.762, 40.499), P=0.007; grade 3: OR=9.463, 95%CI (2.602, 37.693), P<0.001]. ConclusionAKI related to ATAAD repair can recover in the early postoperative period, but both the duration and severity of AKI will affect long-term renal function. In addition, patients' nutritional status, preoperative cardiac tamponade, and renal hypoperfusion syndrome are also independent risk factors for long-term renal dysfunction.