ObjectiveTo investigate the risk factors for lymph node metastasis in resectable lung adenocarcinoma by combining spatial location, clinical, and imaging features, and to construct a lymph node metastasis prediction model. MethodsA retrospective study on patients who underwent chest computed tomography (CT) at the First Affiliated Hospital of Nanjing Medical University from June 2016 to June 2020 and were surgically confirmed to have invasive lung adenocarcinoma with or without lymph node metastasis was conducted. Patients were divided into a positive group and a negative group based on the presence or absence of lymph node metastasis. Clinical and imaging data of the patients were collected, and the independent risk factors for lymph node metastasis in resectable lung adenocarcinoma were analyzed using univariate and multivariate logistic regression. A combined spatial location-clinical-imaging feature prediction model for lymph node metastasis was established and compared with the traditional lymph node metastasis prediction model that does not include spatial location features. ResultsA total of 611 patients were included, with 333 in the positive group, including 172 males and 161 females, with an average age of (58.9±9.7) years; and 278 in the negative group, including 127 males and 151 females, with an average age of (60.1±11.4) years. Univariate and multivariate logistic regression analyses showed that the spatial relationship of the lesion to the lung hilum, nodule type, pleural changes, and serum carcinoembryonic antigen (CEA) levels were independent risk factors for lymph node metastasis. Based on this, the combined spatial location-clinical-imaging feature prediction model had a sensitivity of 91.67%, specificity of 74.05%, accuracy of 87.88%, and area under the curve (AUC) of 0.885. The traditional lymph node metastasis prediction model, which did not include spatial location features, had a sensitivity of 76.40%, specificity of 72.10%, accuracy of 53.86%, and AUC of 0.827. The difference in AUC between the two prediction methods was statistically significant (P=0.026). Compared with the traditional prediction model, the predictive performance of the combined spatial location-clinical-imaging feature prediction model was significantly improved. ConclusionIn patients with resectable lung adenocarcinoma, those with basal spatial location, solid density, pleural changes with wide base depression, and elevated serum CEA levels have a higher risk of lymph node metastasis.
Objective To investigate the prevalence and risk factors of degenerative disc disease (DDD) in pilots. Methods From January 2021 to May 2022, pilots were surveyed using a whole group sampling method and relevant imaging data were collected. The contents of the survey included basic information, DDD-related information, flight-related information, and personal habits. The prevalence of DDD was calculated, and univariate χ2 test, t-test, and multivariate logistic regression analysis were performed for the diseased and healthy groups to screen the risk factors of DDD. Results A total of 170 copies of questionnaire were sent out and 162 valid copies were returned. The prevalence of DDD was 47.5% (77/162), including 27.8% (45/162) for cervical spondylosis, 29.6% (48/162) for lumbar disc herniation, and 3.1% (5/162) for degenerative lumbar spondylolisthesis. The results of univariate analysis showed that body mass index (t=2.594, P=0.010), driving age (t=2.160, P=0.032), maximum load in flight (t=2.953, P=0.004), mean load in flight (t=2.575, P=0.011), insomnia (χ2=4.756, P=0.029) and smoking (χ2=7.977, P=0.005) were significantly different between the diseased group and the healthy group. Multivariate logistic regression showed that driving age [odds ratio (OR)=1.077, 95% confidence interval (CI) (1.025, 1.132), P=0.004], maximum load in flight [OR=1.279, 95%CI (1.109, 1.475), P=0.001], helmet weight [OR=1.516, 95%CI (1.056, 2.175), P=0.024], insomnia [OR=2.235, 95%CI (1.114, 4.483), P=0.024], and smoking [OR=2.527, 95%CI (1.255, 5.087), P=0.009] were risk factors for DDD. Conclusions The prevalence of DDD is high in pilots. High driving age, high maximum load in flight, high helmet weight, insomnia, and smoking may be independent risk factors for DDD.
ObjectiveTo explore risk factors of blood transfusion during liver transplantation and construct its prediction model. MethodsThe patients underwent liver transplantation who met the inclusion and exclusion criteria of this study from March 2020 to December 2020 in the Beijing Youan Hospital of Capital Medical University were retrospectively collected. The univariate and logistic multivariate analysis were used to evaluate the risk factors of blood transfusion during liver transplantation and construct the prediction model for intraoperative blood transfusion. ResultsA total of 151 eligible liver transplantation patients were collected in this study, including 51 non-transfusion patients and 100 transfusion patients. The univariate analysis results showed that the differences of primary diagnosis, preoperative hemoglobin (Hb), platelet count, prothrombin time, international normalized ratio, Child-Turcotte-Pugh score, and end-stage liver disease (MELD) score were statistically different between them (P<0.05). The above variables selected by the univariate analysis were selected by stepwise method, then the preoperative Hb and MELD score were selected into the multivariate logistic regression analysis, the results showed that the preoperative Hb≤113 g/L and MELD score ＞14 increased the risk of blood transfusion during liver transplantation [Hb: OR=6.652, 95%CI (2.282, 19.392), P<0.001; MELD score: OR=16.037, 95%CI (6.336, 40.592), P<0.001]. The logistic regression model predicted the area under receiver operating characteristic curve was 0.873 [95%CI (0.808, 0.919), P<0.001], the sensitivity and specificity were 91.0% and 67.5%, respectively, Youden index was 0.674, the accuracy was 86.1%. ConclusionsResults of this study suggest that preoperative Hb ≤113 g/L and MELD score＞14 increase risk of blood transfusion during liver transplantation. Logistic regression model constructed according to preoperative Hb and MELD score has a better sensitivity and specificity of intraoperative blood transfusion.
ObjectiveTo summarize the advances in research on Cage subsidence following lumbar interbody fusion, and provide reference for its prevention.MethodsThe definition, development, clinical significance, and related risk factors of Cage subsidence following lumbar interbody fusion were throughout reviewed by referring to relevant domestic and doreign literature in recent years.ResultsAt present, there is no consensus on the definition of Cage subsidence, and mostly accepted as the disk height reduction greater than 2 mm. Cage subsidence mainly occurs in the early postoperative stage, which weakens the radiological surgical outcome, and may further damage the effectiveness or even lead to surgical failure. Cage subsidence is closely related to the Cage size and its placement location, intraoperative endplate preparation, morphological matching of disk space to Cage, bone mineral density, body mass index, and so on.ConclusionThe appropriate size and shape of the Cage usage, the posterolateral Cage placed, the gentle endplate operation to prevent injury, the active perioperative anti-osteoporosis treatment, and the education of patients to control body weight may help to prevent Cage subsidence and ensure good surgical results.
ObjectiveTo systematically summarize the research progress in risk prediction models for postoperative anastomotic leakage in gastric cancer, and to explore the advantages and limitations of models constructed using traditional statistical methods and machine learning, thereby providing a theoretical basis for clinical precision prediction and early intervention. MethodBy analyzing domestic and international literature, the construction strategies of logistic regression, least absolute shrinkage and selection operator (LASSO) regression, and machine learning models (support vector machine, random forest, deep learning) were systematically reviewed, and their predictive performance and clinical applicability were compared. ResultsThe traditional logistic regression and LASSO regression models performed excellently in terms of interpretability and in small-sample scenarios but were limited by linear assumptions. The machine learning models significantly enhanced predictive capabilities for complex data through non-linear modeling and automatic feature extraction, but required larger data scales and had higher demands for interpretability. ConclusionsDifferent prediction models have their own advantages and limitations; in practical clinical applications, they should be flexibly selected or complementarily applied based on specific scenarios. Current anastomotic leakage prediction models are evolving from single factor analysis to multi-modal dynamic integration. Future efforts should combine artificial intelligence and multi-center prospective clinical studies to validate, so advancing the development of precise and individualized anastomotic leakage predictive tools for patients after gastric cancer resection.
ObjectiveTo systematically evaluate the risk factors for new-onset atrial fibrillation after off-pump coronary artery bypass grafting (OPCABG). MethodsPubMed, EMbase, The Cochrane Library, CNKI, Wanfang, VIP, SinoMed were searched to collect published literature on risk factors for new-onset atrial fibrillation after OPCABG from inception to September 2022. Two authors independently screened, extracted data and evaluated the quality. The Newcastle-Ottawa Scale (NOS) was used to evaluate the quality of the included studies, and Stata 12.0 and RevMan 5.4 softwares were used for meta-analysis. ResultsA total of 18 researches were included, including 6 354 patients of OPCABG. The NOS scores of the included studies were 6-8 points. Meta-analysis showed that age [MD=2.56, 95%CI (1.61, 3.52), P<0.001], hypertension [OR=1.77, 95%CI (1.18, 2.66), P<0.001], EuroSCORE Ⅱ score [MD=0.70, 95%CI (0.34, 1.06), P<0.001], frequent atrial premature beats or atrial tachycardia [OR=3.77, 95%CI (2.13, 6.68), P<0.001], left atrium diameter (LAD) [MD=1.64, 95%CI (0.26, 3.03), P=0.010], left ventricular ejection fraction (LVEF) [MD=−1.84, 95%CI (−2.85, −0.83), P<0.001], right coronary stenosis [OR=2.49, 95%CI (1.29, 4.81), P=0.006], three-vessel coronary artery lesions [OR=0.73, 95%CI (0.54, 0.97), P=0.030], not using β blockers [OR=0.81, 95%CI (0.69, 0.96), P=0.010], operation time [MD=10.13, 95%CI (8.15, 12.10), P<0.001], duration of mechanical ventilation [OR=2.85, 95%CI (1.79, 3.91), P<0.001] were risk factors for new-onset atrial fibrillation after OPCABG. ConclusionAdvanced age, hypertension, high EuroSCOREⅡ score, frequent atrial premature beats or atrial tachycardia, increased LAD, decreased LVEF, right coronary stenosis, three-vessel coronary artery lesions, not using β blockers, prolonged operation time and mechanical ventilation are risk factors for new-onset atrial fibrillation after OPCABG. Due to factors such as the methodology, content and quality of the included literature, the conclusion of this study need to be supported by more high-quality studies.
Objective To analyze the correlation between HLA-A and B genotypes and maculopapular exanthema (MPE) caused by Carbamazepine (CBZ) and Oxcarbazepine (OXC), and to explore the genetic risk factors of MPE. Methods Patients with MPE (rash group) and patients without MPE (non-rash group) after taking CBZ or OXC were retrospectively collected from January 2016 to October 2021 in the Second Affiliated Hospital of Guangzhou Medical University. DNA was extracted from peripheral blood. HLA-A and HLA-B alleles were sequenced by high resolution sequencing, and a case-control study was conducted to analysis the correlations between MPE and HLA genotypes. Results A total of 100 patients with CBZ-MPE, 100 patients with CBZ-tolerant, 50 patients with OXC-MPE, and 50 patients with OXC-tolerant were collected. There was no significant difference in age and sex between CBZ, OXC rash groups and non-rash groups The average latency of CBZ-rash group was (11.31±11.00) days and their average dosage was (348.46±174.10) mg; the average latency of OXC-rash group was (11.67±10.34) days and their average dosage was (433.52±209.22) mg [equivalent to CBZ (289.01±139.48 mg)], showing no significant difference in latency and dosage between CBZ and OXC (P>0.05). The positive rates of HLA-A*24:02 and A*30:01 in CBZ-rash group were 28% and 6%, respectively, which were significantly higher than those in CBZ-non rash group (16% and 0%, both P=0.04). The positive rate of HLA-B*40:01 in CBZ-rash group was 18%, which was significantly lower than that in CBZ-non rash group (40%, P<0.001). No association between HLA-A or B genotype and OXC-rash was found yet. When pooled, it was still found that the positive rates of HLA-A*24:02 and A*30:01 in the rash group were higher than those in the non-rash group, while the positive rate of HLA-B*40:01 in the rash group was lower than that in the non-rash group, and the difference was statistically significant (P<0.05). Conclusions HLA-A*24:02 and A*30:01 were associated with MPE caused by CBZ, and may be common risk factors for aromatic antiepileptic drugs.
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.
Objective To investigate the risk factors for end-stage liver disease (ESLD) complicated with fungal esophagitis (FE). Methods The clinical data of ESLD patients who underwent gastroscopy during their hospitalization in the Second Affiliated Hospital of Chongqing Medical University between January 1, 2017 and December 31, 2023 were retrospectively analyzed. The ESLD patients with FE were selected as the study group, and the ESLD patients without FE during the same period were included as the control group by 1∶2 propensity score matching method. Multivariate logistic regression model was used to analyze the risk factors of ESLD complicated with FE. Results A total of 75 ESLD patients with FE and 150 ESLD patients without FE were enrolled. There was no significant difference in age, gender, decompensated cirrhosis, liver cancer, diabetes mellitus, or etiology of ESLD between the two groups (P>0.05). Multivariate logistic regression analysis showed that longer hospital stay [odds ratio (OR)=1.115, 95% confidence interval (CI) (1.069, 1.164)], with invasive procedures [OR=10.820, 95%CI (4.393, 26.647)], and higher total bilirubin [OR=1.015, 95%CI (1.005, 1.024)] were risk factors for ESLD complicated with FE (P<0.05). In the study group, 41 patients were treated with antifungal drugs, and 4 of them developed invasive fungal infection. Among the 34 patients who did not receive antifungal drugs, 10 developed invasive fungal infection. Conclusions ESLD patients with longer hospital stay, worse liver function, and invasive procedures are more likely to develop FE, and regular gastroscopy should be performed. Once FE is found, active antifungal treatment should be taken to reduce the occurrence of invasive fungal infection and improve the prognosis of patients.
ObjectiveTo understand risk factors of abdominal aortic aneurysm (AAA) rupture and the latest progress.MethodThe domestic and foreign related literatures on risk factors affecting AAA rupture were retrieved and reviewed.ResultsBesides some definite risk factors of AAA rupture, including age, gender, hypertension, smoking, family history, complications (such as diabetes mellitus, hypertension, dyslipidemia, etc.), the biomechanical factor was the crucial factor of AAA rupture, including the aortic compliance, aortic wall peak value of pressure, aortic wall calcification, and hemodynamics. The latest imaging methods such as the high resolution ultrasound, function and molecular imaging, and phase contrast magnetic resonance imaging could provide technical supports for the prediction of AAA rupture.ConclusionsThere are many risk factors affecting AAA rupture. Clinicians might prevent and make individualize treatment for AAA rupture according to its risk factors, and risks of AAA rupture could be more accurately assessed with help of new medical imaging examination.