ObjectiveTo construct a multimodal imaging radiomics model based on enhanced CT features to predict tumor regression grade (TRG) in patients with locally advanced rectal cancer (LARC) following neoadjuvant chemoradiotherapy (NCRT). MethodsA retrospective analysis was conducted on the Database from Colorectal Cancer (DACCA) at West China Hospital of Sichuan University, including 199 LARC patients treated from October 2016 to October 2023. All patients underwent total mesorectal excision after NCRT. Clinical pathological information was collected, and radiomics features were extracted from CT images prior to NCRT. Python 3.13.0 was used for feature dimension reduction, and univariate logistic regression (LR) along with Lasso regression with 5-fold cross-validation were applied to select radiomics features. Patients were randomly divided into training and testing sets at a ratio of 7∶3 for machine learning and joint model construction. The model’s performance was evaluated using accuracy, sensitivity, specificity, and the area under the curve (AUC). Receiver operating characteristic curve (ROC), confusion matrices, and clinical decision curves (DCA) were plotted to assess the model’s performance. ResultsAmong the 199 patients, 155 (77.89%) had poor therapeutic outcomes, while 44 (22.11%) had good outcomes. Univariate LR and Lasso regression identified 8 clinical pathological features and 5 radiomic features, including 1 shape feature, 2 first-order statistical features, and 2 texture features. LR, support vector machine (SVM), random forest (RF), and eXtreme gradient boosting (XGBoost) models were established. In the training set, the AUC values of LR, SVM, RF, XGBoost models were 0.99, 0.98, 1.00, and 1.00, respectively, with accuracy rates of 0.94, 0.93, 1.00, and 1.00, sensitivity rates of 0.98, 1.00, 1.00, and 1.00, and specificity rates of 0.80, 0.67, 1.00, and 1.00, respectively. In the testing set, the AUC values of 4 models were 0.97, 0.92, 0.96, and 0.95, with accuracy rates of 0.87, 0.87, 0.88, and 0.90, sensitivity rates of 1.00, 1.00, 1.00, and 0.95, and specificity rates of 0.50, 0.50, 0.56, and 0.75. Among the models, the XGBoost model had the best performance, with the highest accuracy and specificity rates. DCA indicated clinical benefits for all 4 models. ConclusionsThe multimodal imaging radiomics model based on enhanced CT has good clinical application value in predicting the efficacy of NCRT in LARC. It can accurately predict good and poor therapeutic outcomes, providing personalized clinical surgical interventions.
Objective To improve esophageal lymph node staging and investgate an ideal esophageal lymph node metastasis staging method. Methods The clinical pathological data and followup data of the 236patients who had undergone thoracic esophagectomy with at least 6 lymph nodes (LN) removed from January 1985 to December 1989 were analyzed retrospectively. Cox proportional hazard model was used to screen risk factors, and Logrank test was applied to perform survival analysis according to lymph node metastasis staging (number, distance and extent). Results The 10-year follow-up rate was 92.3%（218/236）. The overall 1-year, 5-year and 10-year survival rates were 80.2%, 43.1% and 34.2% respectively. One hundred and twelve (47.4%) patients had LN metastasis, and their 5-year survival rates were lower than that of patients without LN metastasis (14.8% vs. 66.6%; χ2=77.18, P=0.000). Cox regression analysis showed that besides depth of invasion, differentiation grade and LN metastasis, the number, distance and extent of LN metastasis were the independent risk factors which could influence prognosis. A further analysis was given via univariate Logrank test. When grouped according to the number of LN metastasis, there were significant differences in overall survival rates (χ2=96.00,P=0.000), but no significant difference was found in survival rates between N2 and N3 group(Pgt;0.05). When grouped according to the distance of LN metastasis, there were significant differences in overall survival rates (χ2=79.29, P=0.000), but no significant difference was found in survival rates among S1, S2 and S3 group(Pgt;0.05). When grouped according to the extent of LN metastasis (0, 1, and ≥2 fields), there were significant differences in overall survival rates (χ2=87.47, P=0.000), and so were the survival rates among groups (χ2=5.14, P=0.023). Conclusion Revising the current Nclassification of TNM staging of esophageal cancer according to the extent of LN metastasis(0, 1, and ≥2 fields) is more reasonable, and can reflect the prognosis of patients with esophageal cancer after esophagectomy better.
ObjectiveTo evaluate the methodological bias and the reliability of the conclusions of systematic reviews (SRs) about traditional Chinese medicine for essential hypertension. MethodsWe comprehensively searched PubMed, EMbase, The Cochrane library (Issue 4, 2014), CBM, CNKI and WanFang Data to collect SRs of traditional Chinese medicine for essential hypertension from the establishment time of databases to April 30th, 2014. The AMSTAR tool was applied for methodological quality assessment of included studies, and the GRADE system was applied for evidence quality assessment of included outcomes of SRs. ResultsA total of 12 SRs involving 31 outcomes were included, of which 11 SRs focused on the comparison of therapeutic effects between traditional Chinese medicine combined with western medicine and western medicine alone. Nine SRs adopted Jadad tool to assess methodological quality of included original studies. The results of assessment using AMSTAR showed that, among 11 items, there were the most problems concerning Item 1 "Was an 'a prior' design provided?" (none of the 12 SRs provided it); followed by Item 11 "Were potential conflict of interest included?" (nine SRs didn't described it), and Item 6 "Were the characteristics of included studies provided" (six SRs didn't provided it). The results of grading showed that, 29 outcomes were graded as "low" or "very low" quality. The main factors contributed to downgrading evidence quality were limitations (31 outcomes), followed by imprecision (12 outcomes), and inconsistency (13 outcomes). ConclusionCurrently, the methodological quality of SRs about traditional Chinese medicine for essential hypertension was poor on the whole, with low quality of evidence as well as lack of enough attention to the end outcomes of patients with essential hypertension. Thus, physicians should apply the evidence to make decision about traditional Chinese medicine for essential hypertension with caution in clinical practice.
Patient priority evaluation has been studied and applied abroad for a long time, which is a mature theory and widely used in practice now. This article uses the priority, patients, waiting list and criteria as keywords to search Wiley Inter Science, Web of Science, Scopus Pub Med, The Cochrane Library, Science Direct, Springer, and Jstor database (searching time is up to December 2017), to collect relevant indicators for patient admission priority evaluation. In addition, relevant citations and grey literature were searched, and experts from relevant fields in China were consulted to obtain more comprehensive research literature. On this basis, this article describes the concept of patient admission priority evaluation, and describes the meanings of the indicators and the countries of application from the three dimensions of clinical indicators, expected results, and social factors. It is considered that the research and implementation of the evaluation of the priority of patient admission has been relatively many. However, there are only a few related researches in the country and without unity. There is no systematic patient-related priority evaluation. It is necessary to use foreign mature theory research to establish a hospital admission priority evaluation system suitable for China’s national conditions.
Considering the small differences between different types in the diabetic retinopathy (DR) grading task, a retinopathy grading algorithm based on cross-layer bilinear pooling is proposed. Firstly, the input image is cropped according to the Hough circle transform (HCT), and then the image contrast is improved by the preprocessing method; then the squeeze excitation group residual network (SEResNeXt) is used as the backbone of the model, and a cross-layer bilinear pooling module is introduced for classification. Finally, a random puzzle generator is introduced in the training process for progressive training, and the center loss (CL) and focal loss (FL) methods are used to further improve the effect of the final classification. The quadratic weighted Kappa (QWK) is 90.84% in the Indian Diabetic Retinopathy Image Dataset (IDRiD), and the area under the receiver operating characteristic curve (AUC) in the Messidor-2 dataset (Messidor-2) is 88.54%. Experiments show that the algorithm proposed in this paper has a certain application value in the field of diabetic retina grading.
目的 探讨宫颈癌骨转移相关因素。 方法 回顾分析2008年6月－2011年8月收治的352例宫颈癌患者的临床资料，其中鳞癌326例，腺癌26例；临床分期Ⅰ期60例、Ⅱ期184例、Ⅲ期90例、Ⅳ期18例。比较不同期别、不同病理类型、不同组织分级患者的骨转移情况。 结果 352例宫颈癌中有18例发现骨转移，转移率为5.1%；转移时间为3～48个月，2例于骨转移后1年内死亡。鳞癌326例，骨转移率为5.2%；腺癌26例，骨转移率为3.8%。Ⅰ、Ⅱ、Ⅲ和Ⅳ期患者的骨转移率分别为0.0%、3.8%、5.6%和33.3%，晚期与早期相比有统计学意义（P＜0.05）；高、中和低分化患者骨转移率分别为3.1%、3.1%和6.3%，高分化与中分化相比，差异无统计学意义（P＞0.05），低分化与高中分化相比差异有统计学意义(P＜0.05)。 结论 宫颈癌骨转移与宫颈癌临床分期、病理类型、细胞分级密切相关。在宫颈癌的治疗过程中，做到早发现、早治疗，可提高患者的治疗效果，延长生存时间。
We elaborated the reasons why systematic reviews need to use GRADE based on a couple of specific examples. Aiming to provide references to understand and use GRADE correctly, we also answered some frequently-asked questions and concerns about GRADE as follows: a) differentiating the uses of GRADE between its application in guidelines and in systematic reviews; b) how to determine the overall quality of evidence? c) can GRADE be used to access the quality of single study or not? d) different uses of GRADE between randomized controlled trials (RCTs) and observational studies; e) weight of GRADE items; and f) factors that might influence the results of GRADE and the balance between upgrading and downgrading.
ObjectivesTo analyze the balance of medical human resource allocation in Chengdu and to discuss the impact of human resource allocation structure on the hospital’s medical service capabilities, so as to provide a theoretical basis for the hospital to optimize the talent team structure.MethodsThe Moran’s index and Gini coefficient were used to evaluate the spatial aggregation and grade distribution difference of human resources allocation, respectively. The case mix index (CMI), the length of hospital stay, and the difficulty of surgery were used as outcome variables, and a multiple regression analysis model was established to explore the impact of human resource indicators on the hospital’s medical service capabilities.ResultsThe distribution of doctors showed an obvious spatial aggregation in Chengdu, and there was a positive spatial correlation (Moran’s Idoctor=0.290); the distribution of nurses had no obvious spatial aggregation (Moran’s Inurse=0.102). Under different medical service capacity segments, the Gini coefficient of doctors was 0.518, and the Gini coefficient of nurses was 0.576, both exceeding 0.5, indicating that the distribution of medical human resources in different levels of hospitals was considerably different. The regression results showed that the expansion of the quantity of senior title doctors and the proportion of medical care both could improve the hospital’s CMI. The increase in the quantity of doctors with senior titles also had a certain impact on improving the hospital’s surgical capabilities. The expansion of the proportion of medical care could lead to a slight increase in the length of patients' hospital stay.ConclusionsOptimizing the allocation structure of medical human resources in different regions and hospitals with different levels is an important task in the construction of a hierarchical diagnosis and treatment system. It is necessary to further integrate medical human resources throughout the whole city and strengthen personnel training and team building in primary health institutions. Hospitals at different levels should implement their own development positioning and further optimize their human resource allocation structure according to development needs. Tertiary hospitals should pay more attention to the cultivation of senior professional doctors, optimize the proportion of medical care, and improve the hospital’s medical service capabilities. The primary health institutions should pay attention to the comprehensive construction of medical personnel, and strengthen the development of the team of general practitioners, so as to achieve a comprehensive improvement of the city’s medical service capabilities.
ObjectiveTo assess the effects of nursing grading management for nurses in emergency department. MethodsAll nurses of the employment system in Department of Emergency were classified into different groups in 2011. Based on the combination of the duties of nurses, technical requirements and nursing grading management, nurses of different levels were given the right tasks, so that nurses in the emergency department could make use of their special skills. ResultsAs the result of nursing grading management, the rates of satisfaction of patients and survival of critically-ill patients were increased, and the rates of pressure ulcer, nursing adverse events and wrong nursing documents were reduced. ConclusionNursing grading management not only saves nursing resources and improves nursing efficiency, but also ensures quality and safety of nursing.
Objective To investigate the risk factors for early progression in patients with acute respiratory distress syndrome (ARDS), and to provide a reference for early detection and intervention of high-risk patients with ARDS progression. Methods Data from multicenter mechanically ventilated patients with mild to moderate ARDS were retrospectively analyzed. According to the severity grade of 72 h ARDS, the patients were divided into an early progressive group and a non-progressive group. Chi-square test was used to compare the risk factors of ARDS patients and the prognosis of the two groups were analyzed by Logistic regression. Results A total of 355 patients with mild to moderate ARDS were included in invasive mechanical ventilation, of which 97 patients (27.3%) progressed after 72 hours. 78.4% were female in the progressive group and 64.0% were female in the non-progressive group. Compared with the non-progressive group, the patients with ARDS in the progressive group had shorter 28-day no mechanical ventilation, higher ICU mortality, and lower survival rate at 30 days and 60 days（P<0.05）, but there was no significant difference in the length of ICU stay between the two groups (P>0.05). Univariate and multivariate regression analysis showed that the patients with ARDS in the progressive group had lower baseline oxygenation index (OR=0.979, 95%CI 0.961 - 0.986, P<0.01), higher peak airway pressure (OR=1.068, 95%CI 1.017 - 1.121, P<0.01), higher lactate level (OR=1.224, 95%CI 1.057 - 1.417, P<0.01), higher tidal volume (OR=1.159, 95%CI 1.002 - 1.341, P<0.05), higher age (OR=1.373, 95%CI 1.051 - 1.082, P<0.01), and more male patients (OR=2.583, 95%CI 1.336 - 4.995, P<0.05). Conclusions Early progression is common in mild to moderate ARDS patients with mechanical ventilation. The progressive group has shorter duration of 28 days without mechanical ventilation, higher ICU mortality and lower 30-day and 60-day survival rate than the non-progressive group. Male, low baseline oxygenation index levels, high peak airway pressure, tidal volume, lactate levels, and higher age are risk factors for early progression in patients with mild to moderate ARDS.