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 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.
ObjectiveTo explore the risk factors affecting catheter obstruction during hyperthermic intraperitoneal chemotherapy (HIPEC). MethodsBased on the inclusion and exclusion criteria, the patients who underwent HIPEC at the First Affiliated Hospital of Xi’an Jiaotong University from February 2023 to December 2023 were retrospectively collected. The data were analyzed using univariate analysis and machine learning. The statistical significance was defined as α=0.05. ResultsA total of 210 patients underwent HIPEC and met the inclusion criteria were included, 51 (24.3%) experienced catheter obstruction. The univariate analysis revealed that the inflow-outflow temperature gradient of the perfusate (ΔT of the perfusate), flow velocity of perfusate, neoadjuvant chemotherapy exposure, hypertension status, surgical approach, and HIPEC catheter length were associated with catheter obstruction (P<0.05). Subsequently, combining the results of the univariate analysis with feature values screened by machine learning, the following factors were selected, including HIPEC catheter length, ΔT of the perfusate, flow velocity of perfusate, age, gender, neoadjuvant chemotherapy exposure, fibrinogen level, hypertension status, surgical approach, and blood transfusion. A predictive model for HIPEC catheter obstruction based on these features was established, achieving an area under the receiver operating characteristic curve (95%CI) of 0.825 (0.757, 0.893). ConclusionThis study preliminarily identifies key factors influencing the incidence of catheter obstruction during HIPEC treatment, such as ΔT of the perfusate, flow velocity of perfusate, neoadjuvant chemotherapy exposure, surgical approach, HIPEC catheter length, and hypertension, continuously monitoring these factors, thereby reducing the risk of catheter obstruction.
ObjectiveTo conduct an analysis and identify potential risk factors associated with postoperative complications in patients diagnosed with malignant gastrointestinal tumors who underwent laparoscopic surgery. MethodsFrom January 2023 to October 2023, 500 patients with malignant gastrointestinal tumors who underwent laparoscopic surgery at the Department of General Surgery, the First Medical Center of PLA General Hospital were prospectively selected as the research objects. The incidence of postoperative complications (Clavien-Dindo gradeⅡ and higher) was observed, and then 500 patients were divided into a complication group and a non-complication group. The preoperative physical conditions, operative time and bleeding volume related to the operation were compared and analyzed between the two groups. According to the analysis results and clinical experience, appropriate variables were selected to be included in the multivariate binary logistic regression model for analysis, in order to determine the risk factors for postoperative complications in patients with malignant gastrointestinal tumors. ResultsOf the 500 patients, 453 had no postoperative complications (non-complication group), and 47 had postoperative complications (complication group), with an incidence of 9.4%. Univariate analysis showed that there were significant differences between the complication group and the non-complications group in gender, abdominal girth, preoperative hypoalbuminemia, drinking history, protein diet habits, primary diseases, operative time and intraoperative blood loss (P<0.05), while there were no significant differences between the two groups in age, body mass index, preoperative grip strength, 6 m walking test time, preoperative anemia, hypertension, diabetes, cardiovascular and cerebrovascular diseases, smoking history, education level, exercise habits and preoperative NRS 2002 nutritional score (P>0.05). Multivariate binary logistic regression analysis showed that gender, daily protein diet and exercise frequency, operation time >200 min and intraoperative blood loss >150 mL could be used as independent predictors of postoperative complications in patients with malignant gastrointestinal tumors (P<0.05). ConclusionFor female malignant gastrointestinal tumor patients with low daily protein intake, inadequate physical activity, prolonged operation duration, and massive intraoperative bleeding, perioperative management should be taken in advance and the occurrence of postoperative complications should be vigilant.
ObjectiveTo explore the association between wearing dentures and the risk of head and neck cancer using meta-analysis. MethodsPubMed, EMbase, CNKI, and WanFang Data were searched up to April 30th, 2014, for cohort studies and case-control studies about the association between wearing dentures and the risk of head and neck cancer. Literature screening according to the inclusion and exclusion criteria, data extraction and methodological quality assessment of included studies were completed by two reviewers independently. Then meta-analysis was conducted using Comprehensive Meta-Analysis v 2.2 software. ResultsEight case-control studies in 7 reports were finally included. The results of meta-analysis revealed that, low-degree association existed between wearing dentures and the risk of head and neck cancer (OR=1.08, 95%CI 1.00 to 1.16); and the results of further subgroup analysis (according to gender, cancer lesions, confounders adjustment, and publication years) also showed no significant difference. ConclusionWearing dentures is not significantly associated with the risk of head and neck cancer (no difference regarding gender or cancer lesions). Due to limitations of this meta-analysis, high-quality studies with large sample size are needed to further verify the above conclusion.
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 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.
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.
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.