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.
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 explore the relation between preoperative serum gamma-glutamyl transpeptidase to platelet ratio (GPR) and overall survival (OS) of patients with hepatitis B virus-associated hepatocellular carcinoma (Abbreviated as “patients with HCC”), and to establish a nomogram for predicting OS. MethodsAccording to the inclusion and exclusion criteria, the clinicopathologic data of patients with HCC who underwent radical resection in the Department of Hepatobiliary Surgery of Xianyang Central Hospital, from January 15, 2012 to December 15, 2018, were retrospectively analyzed. The optimal critical value of GPR was determined by receiver operating characteristic curve, then the patients were divided into a low GPR group (GPR was optimal critical value or less ) and high GPR group (GPR was more optimal critical value). The Kaplan-Meier method was used to draw the survival curve and analyze the OS of patients. The univariate and multivariate Cox proportional hazards regression model were used to analyze the factors influencing prognosis in the patients with HCC. According to the risk factors of OS for patients with HCC, a nomogram was established. The consistency index and calibration curve in predicting the 3-year and 5-year accumulative OS rates of patients with HCC were evaluated. ResultsA total of 213 patients were gathered. The optimal critical value of GPR was 0.906. There were 114 patients in the low GPR group and 99 patients in the high GPR group. The Kaplan-Meier survival curve analysis showed that the 1-, 3- and 5-year accumulative OS rates were 99.1%, 81.8%, 60.6% in the low GPR group, respectively, which were 74.2%, 49.1%, 35.7% in the low GPR group, respectively. The OS curve of the low GPR group was better than that of the high GPR group (χ2=25.893, P<0.001). The multivariate analysis results showed that the microvascular invasion, incomplete capsule, intraoperative bleeding ＞1 000 mL, postoperative complications, GPR >0.906, low tumor differentiation, and late TNM stage did not contribute to accumulative OS in the patients with HCC (P<0.05). The consistency index (95%CI) of the nomogram in predicting accumulative OS rates at 3- and 5-year for patients with HCC were 0.761 (0.739, 0.783) and 0.735 (0.702, 0.838), respectively. The calibration curves of 3- and 5-year accumulative OS rates of the nomogram were in good agreement with the actual results. ConclusionsPreoperative GPR is associated with OS, and patients with higher GPR have worse prognosis. The nomogram based on GPR has a good accuracy and differentiation.
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.
ObjectiveTo explore the risk factors affecting sentinel lymph node (SLN) metastasis in patients with early-stage (N0) breast cancer and establish a predictive model for SLN metastasis, so as to assist in decision-making of axillary surgery in clinical practice. MethodsThe unilateral early-stage breast cancer patients who underwent surgical treatment and SLN biopsy at the Affiliated Hospital of Southwest Medical University from September 2020 to December 2023 were selected as the study subjects. The univariate and multivariable logistic regression analyses were adopted to analyze the relevant risk factors of SLN metastasis, then a predictive model evaluating the risk of SLN metastasis was constructed. The area under receiver operating characteristic curve (AUC) was used to assess the distinguishing ability of risk factors for SLN metastasis. ResultsA total of 351 patients with early-stage breast cancer patients who met the inclusion criteria were enrolled, 136 of whom with SLN metastasis, the SLN metastasis rate was 38.7%. The results of the multivariate logistic regression analysis showed that the maximum tumor diameter >2.5 cm, estrogen receptor (ER) positive, Ki-67 >20%, and vascular invasion were the risk factors affecting SLN metastasis [maximum tumor diameter: OR(95%CI)=1.897(1.186, 3.034), P=0.008; ER positive: OR(95%CI)=2.721(1.491, 4.967), P=0.001; Ki-67 >20%: OR(95%CI)=1.825(1.125, 2.960), P=0.015; vascular invasion: OR(95%CI)=2.858(1.641, 4.976), P<0.001]. The AUC for the SLN metastasis by these four factors was 0.693(0.637, 0.749), with a sensitivity and specificity of 70.59% and 57.21%, respectively. ConclusionsThe results from this study suggest that SLN biopsy is recommended to guide postoperative adjuvant treatment strategies for cN0 early-stage breast cancer patients with a maximum tumor diameter >2.5 cm, ER positivity, Ki-67>20%, and vascular invasion. However, the predictive model constructed based on these four factors in this study has a general ability to distinguish the occurrence of SLN metastasis, then the reasons can be further analyzed in the future.
ObejectiveTo summarize the research progress of risk factors contributing to postoperative pulmonary infection in gastric cancer, so as to provide reference for medical decision-makers and clinical practitioners to effectively control the incidence of postoperative pulmonary infection in gastric cancer, ensure medical safety and improve the quality of life of patients. MethodThe researches at home and abroad on the factors contributing to pulmonary infection after gastric cancer surgery in recent years were reviewed and analyzed. ResultsThere was currently no uniform diagnostic standard for pulmonary infection. The incidence of postoperative pulmonary infection for gastric cancer varied in the different countries and regions. The pathogenic bacteria that caused postoperative pulmonary infection of gastric cancer was mainly gram-negative bacteria, especially Pseudomonas aeruginosa, Escherichia coli, Acinetobacter boulardii, and Klebsiella pneumoniae. The patient’s age, history of smoking, preoperative pulmonary function, preoperative laboratory indicators, preoperative comorbidities, preoperative nutritional status, preoperative weakness, anesthesia, tumor location, surgical modality, duration of surgery, blood transfusion, indwelling gastrointestinal decompression tube, wound pain, and so on were possible factors associated with postoperative pulmonary infection of gastric cancer. ConclusionsThe incidence of postoperative pulmonary infection for gastric cancer is not promising. Based on the recognition of related factors, it is proposed that it is necessary to develop a risk prediction model for postoperative pulmonary infection of gastric cancer to identify high-risk patients. In addition to the conventional intervention strategy, taking the pathogenesis as the breakthrough, finding the key factors that lead to the occurrence of postoperative pulmonary infection of gastric cancer is the fundamental way to reduce its occurrence.
ObjectiveTo investigate the risk factors affecting cervical central lymph node metastasis (CLNM) and lateral lymph node metastasis (LLNM) in patients with papillary thyroid carcinoma (PTC). MethodsThe patients with newly diagnosed with PTC who underwent surgical treatment in this hospital from April 2020 to December 2023 were included. The univariate and multivariate logistic regression analyses were conducted to identify the risk factors affecting the occurrences of CLNM and LLNM in patients with PTC and a prediction model was developed using these risk factors. Additionally, the discriminatory power of the predictive model for CLNM or LLNM was evaluated using the area under the receiver operating characteristic curve (AUC). ResultsA total of 297 patients with PTC were included in this study, among whom 149 (50.2%) cases developed CLNM, and 41 (13.8%) cases developed LLNM. The multivariate analysis indicated that the male, age <36 years old, and maximum tumor diameter >5 mm were the independent risk factors for CLNM in the patients with PTC (P<0.05). The independent risk factors for LLNM in the patients with PTC were the age ≥59 years old, bilateral or isthmus distribution of cancer foci, maximum tumor diameter >5 mm, and invasion of capsule (P<0.05). The AUC (95%CI) of the CLNM prediction model, constructed using three risk factors (gender, age, and maximum tumor diameter), was 0.693 (0.633, 0.752). For the LLNM prediction model, which incorporated four factors [age, distribution of cancer foci, maximum tumor diameter, and capsular invasion], the AUC (95%CI) was 0.776 (0.707, 0.846). ConclusionsThe findings of this study suggest that younger male patients with PTC (age <36 years), and a maximum tumor diameter >5 mm have a higher risk of CLNM. However, the predictive model constructed for CLNM demonstrates only moderate discriminatory power. In contrast, elderly patients (age ≥59 years old) with PTC exhibiting a maximum tumor diameter >5 mm, capsular invasion, and bilateral (or isthmus) lesions are at greater risk of LLNM. The predictive model developed for LLNM shows a certain discriminatory performance.
ObjectiveTo characterize surgical outcomes of supra-cardiac total anomalous pulmonary venous connection (TAPVC), investigate risk factors for postoperative death, and explore informed LASSO machine learning methods to solve "small sample size problem" in research of rare congenital heart diseases.MethodsA retrospective analysis of 241 patients with supra-cardiac TAPVC who underwent surgical repair in Guangdong Provincial People's Hospital from 2009 to 2019 was conducted, including 179 males and 62 females with a median surgical age of 71 (33, 232) d.Detailed clinical data of the postoperative death-related factors were extracted. Univariable Cox proportional hazard models were used to initially screen potential risk factors for postoperative death. Factors with P≤0.05 were retained. To solve the limitation of small sample size and the "P>n" problem, we proposed a novel LASSO method for conducting multivariable Cox regression analysis that was capable of bringing in findings of related studies to improve analysis power and to reduce false-negative findings.ResultsUnivariable Cox analyses showed several potential clinical risk factors, among which highly significant factors (P<0.001) included: surgical weight≤2.5 kg (HR=16.00), main pulmonary artery diameter (HR=0.78), prolonged cardiopulmonary bypass time (HR=1.21), aortic block time (HR=1.28), and postoperative ventilator-assisted time (HR=1.13/d). LASSO multivariable analysis revealed that independent risk factors for postoperative death included cardiopulmonary bypass time (aHR=1.308/30 min), age (aHR=0.898), postoperative ventilator-assisted time (aHR=1.023/d), weight≤2.5 kg (aHR=2.545), right vertical venous return (aHR=1.977), preoperative pulmonary venous obstruction (aHR=1.633) and emergency surgery (aHR=1.383).ConclusionOur proposed informed LASSO method can use previous studies' results to improve the power of analysis and effectively solve the "P>n" and small sample size limitation. Cardiopulmonary bypass time, surgical age, postoperative ventilator-assisted time, weight, right vertical venous return, preoperative pulmonary venous obstruction, and emergency surgery are risk factors for postoperative death of supra-cardiac TAPVC.
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 analyze the increased risks of nursing due to expansion of ophthalmic day surgery indications, and the countermeasures. MethodsWe collected the information in the last three years from January 2012 to December 2014 in the Department of Ophthalmology, including the number of operations, the proportion of cataract patients, patients aged over 70 and under 12 years old, patients with high-risk fall, the number of general anesthesia operations, adverse events, and the data from the satisfaction survey of the patients. All the data were analyzed by statistical method. ResultsDuring the last three years, the relaxation of ophthalmic day surgery indications led to an increased admission rate of high-risk patients, and caused more nursing risk factors. Through the efforts of prevention and care, during the last three years, there were no adverse events, and patients had a satisfaction rate over 90%. ConclusionAlthough the ophthalmic day surgery indication has been relaxed, through the establishment of nursing risk response system by pre-hospital guidance, admission assessment, peri-operative education and follow-up visit, with the continuous improvement of nursing management system and convenient workflow, we can not only improve the work efficiency, but also ensure nursing safety.