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.
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.
Acute kidney injury (AKI) is a systemic inflammatory disease with limited treatment options. Irisin is a novel actin protein produced by skeletal muscle movement and exerts anti-inflammatory, anti-apoptotic, and antioxidant effects by participating in multiple signaling pathways. In recent years, the protective effect of irisin on AKI has attracted much attention, and its regulatory mechanism involves a complex network of signaling pathways, which can reduce oxidative stress, inhibit apoptosis, inhibit inflammation, and inhibit ferroptosis under pathological conditions. This pathway alleviates kidney injury by enhancing the metabolic reprogramming of tubular cells while attenuating fibrosis. Irisin is expected to be a new treatment option for AKI.
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 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.
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.
ObjectiveTo evaluate the effect of levosimendan on acute kidney injury (AKI) in patients with left ventricular dysfunction (preoperative left ventricular ejection fraction≤40.0%) undergoing cardiac surgery.MethodsA systematic review and meta-analysis was conducted based on a comprehensive search of the randomized controlled trial (RCT) from PubMed, EMbase and The Cochrane Library (up to Jan 2018). The clinical endpoints included the incidence of AKI and need for renal replacement therapy (RRT), mortality, mechanic ventilation (MV) duration and intensive care unit (ICU) stay. Random-effect model was used for the potential clinical inconsistency. All analyses were performed by RevMan 5.3 and Stata 12.0.ResultsThirteen trials with a total of 2 046 patients were selected. Compared with controls, levosimendan significantly reduced the incidence of postoperative AKI (OR=0.44, P=0.000 1, I2=0%), the risk of RRT (OR=0.63, P=0.02, I2=0%) and the mortality (OR=0.49, P<0.000 1, I2=0%). Levosimendan also shortened the postoperative MV duration (WMD=–5.62, P=0.07, I2=93%) and ICU stay (WMD=–1.50, P=0.005, I2=98%).ConclusionThe present meta-analysis suggests that perioperative levosimendan for patients with left ventricular ejection fraction≤40.0% undergoing cardiac surgery reduces the incidence of AKI, RRT and death, as well as shortens MV duration and ICU stay.
ObjectiveTo determine the predictive value of the preoperative prognostic nutritional index (PNI) regarding the development of acute kidney injury (AKI) after non-coronary artery bypass grafting (CABG) cardiac surgery.MethodsThe clinical data of 584 patients who underwent elective non-CABG cardiac surgery with cardiopulmonary bypass (CPB) in our hospital from May to September 2019 were reviewed. There were 268 (45.9%) males and 316 (54.1%) females, with a mean age of 52.1±11.6 years. The mean cardiopulmonary time and aortic-clamp time was 124.8±50.1 min and 86.4±38.9 min, respectively. Totally 449 (76.9%) patients received isolate valve surgery. We developed the risk prediction model of AKI using multivariable logistic regression. The predictive values of preoperative PNI, Cleveland Clinic Score (CCS) and risk prediction model were estimated by the area under the receiver operating characteristic curve (AUC) and Hosmer-Lemeshow goodness-of-fit test. The improvement of preoperative PNI to predictive values of CCS or AKI risk prediction models were defined by the net reclassification index (NRI) and variation of AUC.ResultsThe preoperative PNI could neither effectively predict the occurrence of AKI following non-CABG cardiac surgery (AUC=0.553, 95%CI 0.489-0.617, P=0.095) nor improve the predictive effect of other AKI predictive models. The risk prediction model of AKI structured by our study had high predictive value on AKI or severe AKI (stage 2-3) (AUC=0.741, 95%CI 0.686-0.796, P<0.001) and superior to CCS (AUC=0.512, 95%CI 0.449-0.576, P=0.703).ConclusionThe preoperative PNI can neither predict the occurrence of AKI following elective non-CABG cardiac surgery nor improve the prediction values of other AKI prediction models.
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.
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.