The high incidence and mortality of acute kidney injury (AKI) have brought great challenges to global health. In recent years, China has made some achievements in the epidemiology, risk factors and treatment of AKI. However, further prevention and treatment are still facing difficulties. Based on current new ideas and research progress, this paper summarized and analyzed the management throughout the whole course of AKI, including AKI risk assessment, early prevention, early identification, treatment and follow-up. The aim is to make Chinese nephrologists realize the focus of AKI prevention and treatment, standardize the management of AKI, and explore the prevention and treatment strategy suitable for AKI in China.
ObjectiveTo analyze the risk factors affecting delayed gastric emptying (DGE) after laparoscopic distal gastrectomy for gastric cancer. MethodsThe gastric cancer patients who underwent laparoscopic distal gastrectomy in the Jiaozuo People’s Hospital from January 1, 2013 to December 31, 2022 were retrospectively collected. The occurrence of DGE was recorded. Meanwhile, the multivariate binary logistic regression analysis was performed to screen the risk factors affecting the DGE. ResultsA total of 350 gastric cancer patients underwent laparoscopic distal gastrectomy and met the inclusion and exclusion criteria of this study were included, 17 (4.9%) of whom developed DGE. The multivariate binary logistic regression analysis results showed that the preoperative gastric outflow tract obstruction (OR=8.582, P=0.009), intraoperative jejunal nutrition tube indwelling (OR=14.317, P=0.010), more peritoneal drainage tube placement (OR=5.455, P=0.006), and intraoperative blood loss ≥140 mL (OR=4.912, P=0.018) increased the risk of DGE. ConclusionAccording to the results of this study, when patients undergoing laparoscopic distal radical gastrectomy for gastric cancer accompanied by preoperative gastric outflow tract obstruction, intraoperative jejunal nutrition tube indwelling, more peritoneal drainage tube placement, and more intraoperative blood loss, it should be paid more attention to prevention DGE, and early detection and treatment, so as to improve the prognosis of patients.
ObjectiveTo identify the risk factors of bone metastasis in breast cancer and construct a predictive model. MethodsThe data of breast cancer patients met inclusion and exclusion criteria from 2010 to 2015 were obtained from the SEER*Stat database. Additionally, the data of breast cancer patients diagnosed with distant metastasis in the Affiliated Hospital of Southwest Medical University from 2021 to 2023 were collected. The patients from the SEER database were randomly divided into training (70%) and validation (30%) sets using R software, and the breast cancer patients from the Affiliated Hospital of Southwest Medical University were included in the validation set. The univariate and multivariate logistic regressions were used to identify risk factors of breast cancer bone metastasis. A nomogram predictive model was then constructed based on these factors. The predictive effect of the nomogram was evaluated using the area under the receiver operating characteristic curve (AUC), calibration curve, and decision curve analysis. ResultsThe study included 8 637 breast cancer patients, with 5 998 in the training set and 2 639 (including 68 patients in the Affiliated Hospital of Southwest Medical University) in the validation set. The statistical differences in the race and N stage were observed between the training and validation sets (P<0.05). The multivariate logistic regression analysis revealed that being of white race, having a low histological grade (Ⅰ–Ⅱ), positive estrogen and progesterone receptors status, negative human epidermal growth factor receptor 2 status, and non-undergoing surgery for the primary breast cancer site increased the risk of breast cancer bone metastasis (P<0.05). The nomogram based on these risk factors showed that the AUC (95% CI) of the training and validation sets was 0.676 (0.533, 0.744) and 0.690 (0.549, 0.739), respectively. The internal calibration using 1 000 Bootstrap samples demonstrated that the calibration curves for both sets closely approximated the ideal 45-degree reference line. The decision curve analysis indicated a stronger clinical utility within a certain probability threshold range. ConclusionsThis study constructs a nomogram predictive model based on factors related to the risk of breast cancer bone metastasis, which demonstrates a good consistency between actual and predicted outcomes in both training and validation sets. The nomogram shows a stronger clinical utility, but further analysis is needed to understand the reasons of the lower differentiation of nomogram in both sets.
ObjectiveTo use machine learning technology to predict the recurrence of atrial fibrillation (AF) after radiofrequency ablation, and try to find the risk factors affecting postoperative recurrence. MethodsA total of 300 patients with valvular AF who underwent radiofrequency ablation in West China Hospital and its branch (Shangjin Hospital) from January 2017 to January 2021 were enrolled, including 129 males and 171 females with a mean age of 52.56 years. We built 5 machine learning models to predict AF recurrence, combined the 3 best performing models into a voting classifier, and made prediction again. Finally, risk factor analysis was performed using the SHApley Additive exPlanations method. ResultsThe voting classifier yielded a prediction accuracy rate of 75.0%, a recall rate of 61.0%, and an area under the receiver operating characteristic curve of 0.79. In addition, factors such as left atrial diameter, ejection fraction, and right atrial diameter were found to have an influence on postoperative recurrence. ConclusionMachine learning-based prediction of recurrence of valvular AF after radiofrequency ablation can provide a certain reference for the clinical diagnosis of AF, and reduce the risk to patients due to ineffective ablation. According to the risk factors found in the study, it can provide patients with more personalized treatment.
Percutaneous renal puncture biopsy is an invasive procedure, and there are still some risks in its application. Bleeding after puncture is a major risk of percutaneous renal biopsy. In order to improve the safety of percutaneous renal puncture biopsy, clinical researchers have been exploring and studying the possible etiology, risk factors and prevention measures of postoperative bleeding in recent years. It is of great significance to clarify the risk factors of bleeding after percutaneous renal puncture biopsy and take timely targeted measures to reduce the risk to the maximum extent for improving the control effect of postoperative bleeding and other complications. This article intends to analyze and summarize the clinical research progress on the occurrence and risk factors of bleeding after percutaneous renal biopsy, in order to provide reference for the prevention and treatment of bleeding after percutaneous renal puncture biopsy.
ObjectiveTo quest the risk factors of poor prognoses in children with tetralogy of Fallot (TOF) during perioperative period and evaluate its clinical application values.MethodsA retrospective analysis of the clinical data of 119 children who underwent one-stage correction of TOF in Guangdong Provincial People's Hospital from September 2016 to January 2019. The cohort includes 75 males and 44 females, with ages ranging from 3.2-137.1 (13.2±1.4) months and weights ranging from 4.6-21.0 (8.3±0.2) kg. Perioperative poor prognosis was defined as duration of mechanically assisted ventilation >48 h or secondary intubation, vasoactive-inotropic score (VIS) within 48 h >40, postoperative length of stay >14 d, and the occurrence of the major adverse events. Major adverse events were defined as early death, malignant arrhythmia, low cardiac output syndrome, non-fatal cardiac arrest, postoperative reintervention, diaphragm paralysis, and other clinical complications. Univariate and multivariate logistic analyses were used to analyze the correlation between risk factors and poor prognoses.ResultsThere was 1 perioperative death, and 9 with major adverse events. Variables selected by Least Absolute Shrinkage and Selection Operator (LASSO) included 2 preoperative variables (McGoon index, aortic root diameter index) and 4 intra-operative variables [left-right direction of bicuspid pulmonary valve, total length of right ventricular outflow tract (RVOT) incision index, pulmonary valve with commissurotomy, and minimum temperature in cardiopulmonary bypass (CPB)]. Univariate and multivariate logistic analyses were used to the above factors, respectively. The variables with statistical significance (P≤0.05) were McGoon index, aortic root diameter index, left-right direction of bicuspid pulmonary valve, and minimum temperature in CPB. A nomogram was established based on the above factors, and the results showed that the left-right direction of bicuspid pulmonary valve was more risky than the tricuspid pulmonary valve and the anterior-posterior direction of bicuspid pulmonary valve. The lower the McGoon index, the higher aortic root diameter, and the lower temperature in CPB, the higher risk of poor prognostic events in children with TOF.ConclusionThe left-right direction of the pulmonary bicuspid valve has a higher risk of poor prognosis than the tricuspid pulmonary valve and the anterior-posterior direction of bicuspid pulmonary valve. With the smaller McGoon index and the larger aortic root diameter, the risk of poor prognoses in children with TOF is higher. The temperature in CPB being lower than medium-low temperature obviously relates to the high incidence of poor prognostic events, which can be used as an auxiliary reference standard for decision-making in pediatric TOF surgery in the future.
The coronary artery disease is a frequent severe disease of cardiovascular system in recent years. Meanwhile, lung cancer, with its high morbidity and mortality, is the most frequent malignant tumor of respiratory system in the world. Clinical studies have shown that the incidence of coronary artery disease and lung cancer is high throughout the year, and comorbidities are becoming more common, especially in elderly patients. The incidence of lung cancer and coronary heart disease may be related. This article summarizes the common risk factors (smoking and environmental pollution, fibrinogen, estrogen, and age), and treatment (surgical treatment, neoadjuvant therapy, and targeted therapy) progress of the two diseases, providing a theoretical basis for clinical prevention and treatment.
ObjectiveTo analyze the risk factors relevant retrograde type A aortic dissection (RTAD) after thoracic endovascular aortic repair (TEVAR) for Stanford type B aortic dissection and provide a reference for its prevention and management. MethodsA retrospective analysis was conducted on patients with Stanford type B aortic dissection who underwent TEVAR at the First Affiliated Hospital of Chongqing Medical University from January 2017 to June 2023. The patients met the inclusion and exclusion criteria were included in the study. The multivariate logistic regression was used to analyze the risk factors for RTAD, with a test level of α=0.05. ResultsA total of 176 patients were included, among whom 7 developed RTAD, with an occurrence rate of 3.98%. The multivariate logistic regression analysis revealed that the larger τ angle between the centerline of the aorta [OR (95%CI)=1.195 (1.032, 1.384)] and the degree of curvature of the aortic arch (the curve distance from the proximal brachiocephalic trunk to the distal left subclavian artery) [OR (95%CI)=0.756 (0.572, 0.999)], the higher probability of RTAD after TEVAR (P＜0.05). ConclusionsFrom the results of this study, it can be seen that for patients with Stanford B-type aortic dissection underwent TEVAR treatment, careful preoperative evaluation of morphological characteristics of the aortic arch (particularly the τ angle of the aorta centerline and the degree of curvature of the aortic arch (the curve distance from the proximal brachiocephalic trunk to the distal left subclavian artery) is crucial for reducing the occurrence of RTAD after TEVAR in patients with Stanford type B aortic dissection.
Objective To investigate the values of cytokines in evaluating the severity and prognosis of patients with coronavirus disease 2019 (COVID-19). Methods A total of 205 COVID-19 patients in Wuhan Leishenshan Hospital were retrospectively analyzed. According to the severity of the disease, patients were divided into common group (n=117), severe group (n=69) and critical group (n=19). The patients’ basic condition and cytokine related parameters were collected, the differences between the three groups were compared and their values in assessing the severity and prognosis of COVID-19 patients were analyzed. Results There were statistically significant differences in the age, severe acute respiratory syndrome coronavirus 2 nucleic acid test results, interleukin (IL)-6, IL-10, IL-2 receptor, IL-8, and tumor necrosis factor-α among the three groups of patients (P<0.05). Correlation analysis showed that the age, severe acute respiratory syndrome coronavirus 2 nucleic acid test continued to be positive for 20 days, IL-6 level, IL-10 level, IL-2 receptors level, IL-8 level and tumor necrosis factor-α level were related to the classification of COVID-19. The correlation coefficient rs was 0.354, 0.187, 0.366, 0.327, 0.329, 0.273 and 0.157, respectively (P<0.05). The levels of IL-6, IL-10, IL-2 receptor, IL-8, and tumor necrosis factor-α in dead patients with COVID-19 were higher than those in surviving patients (P<0.05). Multivariate analysis showed that age [odds ratio (OR)=1.034, 95% confidence interval (CI) (1.006, 1.063), P=0.016], IL-6 level [OR=1.030, 95%CI (1.006, 1.055), P=0.015], IL-10 level [OR=1.088, 95%CI (1.003, 1.179), P=0.042] and IL-2 receptor level [OR=1.003, 95%CI (1.001, 1.005), P=0.001] were independent risk factors for common COVID-19 to become severe or critical. Conclusion The levels of cytokines in COVID-19 patients are closely related to the severity and prognosis of the disease.