AIM: To analyze and screen influencing factors of diabetic patients complicated with retinopathy, and establish and validate prediction model of nomogram.METHODS: A total of 1 252 patients from the Diabetes Complications Early Warning Dataset of the National Population Health Data Archive(PHDA)between January 2013 to January 2021 were selected and randomly divided into a modeling group(n=941)and a validation group(n=311). Univariate analysis, LASSO regression and Logistic regression analysis were used to screen out the influencing factors of diabetic retinopathy, and a nomogram prediction model was established. The receiver operating characteristic curve, Hosmer-Lemeshow test and calibration curve were used to evaluate the model. The clinical benefit was evaluated by the decision curve analysis(DCA).RESULTS: Age, hypertension, nephropathy, systolic blood pressure(SBP), glycated hemoglobin(HbA1c), high-density lipoprotein cholesterol(HDL-C), and blood urea(BU)were the influencing factors of diabetic retinopathy. The area under the curve(AUC)of the modeling group was 0.792(95%CI: 0.763-0.821), and the AUC of the validation group was 0.769(95%CI: 0.716-0.822). The Hosmer-Lemeshow goodness of fit test and calibration curve suggested that the theoretical value of the model was in good agreement(modeling group: χ2=14.520, P=0.069; validation group: χ2=14.400, P=0.072). The DCA results showed that the threshold probabilities range was 0.09-0.89 for modeling group and 0.07-0.84 for the validation group, which suggested the clinical net benefit was higher.CONCLUSION: This study constructed a risk prediction model including age, hypertension, nephropathy, SBP, HbA1c, HDL-C, and BU. The model has a high discrimination and consistency, and can be used to predict the risk of diabetic retinopathy in patients with diabetes.

Objective To analyze the risk factors influencing the occurrence of atherosclerosis in patients with type 2 diabetes, and to construct and evaluate a nomogram prediction model. Methods Multivariate logistic regression was used to analyze the risk factors of atherosclerosis in type 2 diabetes mellitus, and R software was used to build a nomogram prediction model. The accuracy and clinical validity of the model were verified by using H-L fit curve, area under ROC curve and calibration curve. Results The prevalence rate of atherosclerosis was 56.37%. Independent risk factors for atherosclerosis in type 2 diabetes mellitus (P<0.05) were body weight (OR=1.42，P<0.05), glycated serum protein (OR=1.35, P<0.05), lactate dehydrogenase (OR=1.17, P<0.05), alkaline phosphatase (OR=0.79, P<0.05), hyperlipidemia (OR=2.30, P<0.05), stroke (OR=4.20, P<0.05), coronary heart disease (OR=64.54, P<0.05), lower extremity artery disease (OR=24.52, P<0.05), and other endocrine diseases (OR=1.65 , P<0.05). The area under ROC curve was 0.91, the slope of the calibration curve was close to 1, and the H-L fit curve χ²=3.11. The internal verification result of the constructed nomogram prediction model was P=0.93. External verification of patients in the test set showed that the area under ROC curve was 0.91, indicating good differentiation and accuracy of the model. Conclusion The prediction model established by using the risk factors screened in this study has a high accuracy and differentiation, and medical staff can take effective prevention measures according to the individual factors of patients.

Purpose/Significance To explore the application and predictive accuracy of various models in predicting the risk of ather-osclerosis in diabetic patients.Method/Process Based on the biochemical data table from the"Diabetes Complications Warning Dataset"provided by the National Population Health Science Data Center,MATLAB software is used to construct risk prediction models for diabe-tes-induced atherosclerosis.The models are built by using k-nearest neighbors(KNN),decision trees,backpropagation(BP)neural networks,and Naive Bayes algorithms,and which are subjected to comparative analysis.Result/Conclusion In terms of effectiveness,the predictive accuracy of Naive Bayes algorithm is the highest(61.6％),followed by the decision tree model(58.2％),the KNN mod-el(57.7％),and the BP neural network model(55.9％).The results of the confusion matrix and the receiver operating characteristic(ROC)curve indicate that the Naive Bayes model performs best.When comparing the models in terms of effectiveness,performance and stability,the Naive Bayes model is superior.

In Vivo Dosimetry ; Radiotherapy Dosage ; Radiometry/methods* ; Electronics ; Radiotherapy, Intensity-Modulated/methods* ; Phantoms, Imaging ; Algorithms

Objective:To analyze the prognosis-related factors of patients with surgical treatment of lung cancer brain metastases.Methods:From January 2016 to November 2018, the clinical data of the patients with lung cancer brain metastases received surgical treatment in Department of Neurosurgery, Cancer Hospital of Chinese Academy of Medical Sciences and Peking Union Medical College were retrospectively collected, and completed data of 83 patients were obtained. The single factor analysis was based on the log-rank method, and the multi-factor analysis was used by the Cox proportional hazard model, and the R software was used to map the influencing factors into the nomogram and verify them.Results:The median overall survival (OS) of 83 patients was 27.0 months. The median OS of patients with surgery alone was 15.7 months, the median OS of patients with surgery combined with radiotherapy, chemotherapy or targeted therapy was 27.7 months, and the difference was statistically significant ( χ2=8.735, P=0.003). The results of single factor analysis showed that gender ( χ2=4.652, P=0.031), smoking history ( χ2=8.239, P=0.004), postoperative targeted treatment ( χ2=13.697, P<0.001), postoperative adjuvant therapy ( χ2=8.735, P=0.003), pathology of metastatic tumor ( χ2=11.799, P=0.001), and lung cancer molecular graded prognostic assessment (Lung-molGPA) sore ( χ2=11.333, P=0.004) affected patients′ OS. The results of multivariate analysis showed that smoking history ( HR=0.311, 95% CI: 0.107-0.901, P=0.031), postoperative targeted therapy ( HR=3.563, 95% CI: 1.286-9.868, P=0.015), pathology of metastatic tumor ( HR=0.364, 95% CI: 0.137-0.965, P=0.042), Lung-molGPA score ( HR=0.595, 95% CI: 0.374-0.946, P=0.028) were independent prognostic factors for OS of patients with lung cancer brain metastases. In order to further evaluate the prognosis of patients, nomogram was drawn using these four independent prognostic factors. The model had high accuracy and could better evaluate the prognosis of patients. Conclusion:Lung cancer brain metastases patients with operative indication can benefit from surgery, and active adjuvant therapy after operation can further prolong the OS of patients. The nomogram constructed by smoking, targeted therapy, pathology of metastatic tumor and Lung-molGPA score can be used to evaluate individual patient outcomes and guide clinical treatment.

Objective: To investigate clinicopathological features and prognostic factors of gastric neuroendocrine tumors (G-NEN). Methods: Clinical and pathological data of patients with G-NEN diagnosed by pathological examination in Chinese PLA General Hospital from January 2000 to June 2018 were retrospectively analyzed in this case-control study. Patients with complicated visceral lesions, other visceral primary tumors, mental disorders and incomplete clinicopathological data were excluded. Finally, 240 hospitalized patients who met the inclusion criteria were enrolled. Physical examination information, tumor characteristics and pathological characteristics of patients were summarized. The Cox regression models were used to analyze the risk factors affecting G-NEN and the survival conditions were described by Kaplan-Meier survival curves and log-rank test. Results: In 240 patients with G-NEN, the mean age was (60.3±10.1) years; 181 were male (75.4%) and 59 females (24.6%); mean tumor diameter was (4.2±2.8) cm; 51 cases (21.2%) were neuroendocrine tumor (NET), 139 cases (57.9%) neuroendocrine carcinoma (NEC), 50 cases (20.8%) mixed neuroendocrine carcinoma (MANEC); 28 cases (11.7%) were G1 low grades, 34 cases (14.2%) G2 medium grades, and 178 cases (74.2%) G3 high grades; tumor infiltration depth T1 to T4 were 44 cases (18.3%), 27 cases (11.2%), 60 cases (25.0%) and 109 cases (45.4%) respectively; 163 cases (67.9%) developed lymphatic metastasis and 46 patients (19.2%) distant metastasis; tumor stage from stage I to stage IV were 55 cases (22.9%), 42 cases (17.5%), 94 cases (39.2%) and 53 cases (22.1%) respectively. Of the 240 G-NEN patients, 223 cases (92.9%) were followed up. The median survival time of the patients was 39.2 (95% CI: 29.1 to 47.5) months. Univariate survival analysis showed that age ≥ 60 years, tumor diameter ≥ 4.2 cm, tumor grade G3, lymphatic metastasis, distant metastasis, and tumor stage III-IV were risk factors for G-NEN patients. Multivariate survival analysis revealed that lymphatic metastasis (HR=1.783, 95%CI: 1.007-3.155, P=0.047) and distant metastasis (HR=2.288, 95% CI: 1.307-4.008, P=0.004) were independent risk factors of the prognosis. Further analysis of the G3 subgroup of G-NEN showed that the 5-year survival rate of NET-G3 was 76.19%, which was significantly higher than that of NEC-G3 and MANEC-G3 (15.60% and 24.73%, P=0.012). Conclusions Most G-NEN patients are in advanced stage at diagnosis. Lymphatic metastasis and distant metastasis indicate poor prognosis. The prognosis of high proliferation NET-G3 patients is better as compared to those of NEC-G3 and MANEC-G3. This classification is worth further attention.

Objective:Gastric cancer in adolescents is rare, with only a few cases reported in the literature. The purpose of this study is to investigate the clinicopathological features and prognostic factors of gastric cancer in adolescents aged 10-24 years.Methods:A case-controlled study was performed. The clinicopathological data of gastric cancer patients aged 10-24 years who were treated at the First Medical Center of Chinese PLA General Hospital from February 2000 to February 2017 were retrospectively collected and compared with those patients over 40 years old at the same period, which were randomly selected in a ratio of 1:2. All the patients were followed up until June 2019 and Cox proportional hazard model was used to analyze prognostic factors in the adolescent patients.Results:A total of 63 adolescent gastric cancer patients (0.4% of all 14 794 gastric cancer patients) were enrolled, including 31 males (49.2%) and 32 females (50.8%), with a mean body mass index of (19.5±4.3) kg/m 2. Before diagnosis, Only 35 cases (55.6%) had warning symptoms such as weight loss, ascites, obstruction, hematemesis, black stool, etc.; 5 cases (7.9%) had a family history of gastrointestinal tumor. The median duration of symptoms before diagnosis was 3 months. At diagnosis, 58 cases (92.1%) were poorly differentiated, 57 cases (90.5%) were T3-4 stage, 19 cases (30.2%) were signet ring cell cancer or mucous adenocarcinoma, 57 cases (90.5%) had lymph node metastasis, and 36 cases (57.1%) had distant metastasis. Twenty-nine patients (46.0%) underwent radical surgery, 12 patients underwent palliative surgery, 5 patients underwent exploratory laparotomy, 17 patients were unable to operate due to late stage. Of 56 cases (88.9%) with TNM stage Ⅲ-Ⅳ, 51 patients (81.0%) received chemotherapy. Of the 126 patients over 40 years old, 98 cases (77.8%) were male and 28 cases (22.2%) were female, and the mean body mass index was (23.8±3.2) kg/m 2. There were 60 cases (47.6%) with low differentiation, 90 cases (71.4%) with T3-4, 16 cases (12.7%) with signet ring cell cancer and mucous cell cancer, 79 cases (62.7%) with lymph node metastasis, and 12 cases (9.5%) with distant metastasis. A total of 115 cases (91.3%) underwent radical surgery. Of 74 cases (58.7%) with TNM stage Ⅲ-Ⅳ, 67 cases received (53.2%) chemotherapy. The 63 adolescent gastric cancer patients had lower body mass index, and higher proportion in female, poorly differentiation, signet ring cell cancer and mucous cell cancer, T3-4 stage, lymph node metastasis, distant metastasis, TNM stage Ⅲ-Ⅳ and receiving chemotherapy compared with 126 gastric cancer patients over 40 years old (all P<0.05). Among the 63 adolescent gastric cancer patients, 52 cases (82.5%) were followed up with median follow-up time of 72.1 (36.1, 100.8) months, and the median survival time was 10.4 months (95% CI: 6.5-15.1). The 1-year, 3-year and 5-year survival rates were 44.2%, 25.0% and 18.0%, respectively. Univariate analysis showed that the depth of tumor invasion (HR=7.15, 95% CI:1.71-29.89, P=0.007), lymph node metastasis (HR=6.00, 95% CI:1.42 - 25.42, P=0.015), distant metastasis (HR=7.25, 95% CI: 3.25 - 16.18, P<0.001), TNM stage (HR=5.49, 95% CI: 1.67-18.12, P=0.005) and tumor resection (HR=0.18, 95% CI: 0.09-0.37, P<0.001) were the risk factors affecting the prognosis of adolescent gastric cancer patients. Multivariate survival analysis showed that distant metastasis was an independent factor for gastric cancer survival in adolescents (HR=3.67, 95% CI: 1.32-10.19, P=0.012). Conclusions:Gastric cancer in adolescents is insidious and progresses rapidly. Most of them are in the advanced stage at diagnosis and have low rate of radical excision.

Objective:Gastric cancer in adolescents is rare, with only a few cases reported in the literature. The purpose of this study is to investigate the clinicopathological features and prognostic factors of gastric cancer in adolescents aged 10-24 years.Methods:A case-controlled study was performed. The clinicopathological data of gastric cancer patients aged 10-24 years who were treated at the First Medical Center of Chinese PLA General Hospital from February 2000 to February 2017 were retrospectively collected and compared with those patients over 40 years old at the same period, which were randomly selected in a ratio of 1:2. All the patients were followed up until June 2019 and Cox proportional hazard model was used to analyze prognostic factors in the adolescent patients.Results:A total of 63 adolescent gastric cancer patients (0.4% of all 14 794 gastric cancer patients) were enrolled, including 31 males (49.2%) and 32 females (50.8%), with a mean body mass index of (19.5±4.3) kg/m 2. Before diagnosis, Only 35 cases (55.6%) had warning symptoms such as weight loss, ascites, obstruction, hematemesis, black stool, etc.; 5 cases (7.9%) had a family history of gastrointestinal tumor. The median duration of symptoms before diagnosis was 3 months. At diagnosis, 58 cases (92.1%) were poorly differentiated, 57 cases (90.5%) were T3-4 stage, 19 cases (30.2%) were signet ring cell cancer or mucous adenocarcinoma, 57 cases (90.5%) had lymph node metastasis, and 36 cases (57.1%) had distant metastasis. Twenty-nine patients (46.0%) underwent radical surgery, 12 patients underwent palliative surgery, 5 patients underwent exploratory laparotomy, 17 patients were unable to operate due to late stage. Of 56 cases (88.9%) with TNM stage Ⅲ-Ⅳ, 51 patients (81.0%) received chemotherapy. Of the 126 patients over 40 years old, 98 cases (77.8%) were male and 28 cases (22.2%) were female, and the mean body mass index was (23.8±3.2) kg/m 2. There were 60 cases (47.6%) with low differentiation, 90 cases (71.4%) with T3-4, 16 cases (12.7%) with signet ring cell cancer and mucous cell cancer, 79 cases (62.7%) with lymph node metastasis, and 12 cases (9.5%) with distant metastasis. A total of 115 cases (91.3%) underwent radical surgery. Of 74 cases (58.7%) with TNM stage Ⅲ-Ⅳ, 67 cases received (53.2%) chemotherapy. The 63 adolescent gastric cancer patients had lower body mass index, and higher proportion in female, poorly differentiation, signet ring cell cancer and mucous cell cancer, T3-4 stage, lymph node metastasis, distant metastasis, TNM stage Ⅲ-Ⅳ and receiving chemotherapy compared with 126 gastric cancer patients over 40 years old (all P<0.05). Among the 63 adolescent gastric cancer patients, 52 cases (82.5%) were followed up with median follow-up time of 72.1 (36.1, 100.8) months, and the median survival time was 10.4 months (95% CI: 6.5-15.1). The 1-year, 3-year and 5-year survival rates were 44.2%, 25.0% and 18.0%, respectively. Univariate analysis showed that the depth of tumor invasion (HR=7.15, 95% CI:1.71-29.89, P=0.007), lymph node metastasis (HR=6.00, 95% CI:1.42 - 25.42, P=0.015), distant metastasis (HR=7.25, 95% CI: 3.25 - 16.18, P<0.001), TNM stage (HR=5.49, 95% CI: 1.67-18.12, P=0.005) and tumor resection (HR=0.18, 95% CI: 0.09-0.37, P<0.001) were the risk factors affecting the prognosis of adolescent gastric cancer patients. Multivariate survival analysis showed that distant metastasis was an independent factor for gastric cancer survival in adolescents (HR=3.67, 95% CI: 1.32-10.19, P=0.012). Conclusions:Gastric cancer in adolescents is insidious and progresses rapidly. Most of them are in the advanced stage at diagnosis and have low rate of radical excision.

OBJECTIVETo investigate the clinicopathologic features and prognostic factors of gastric neuroendocrine neoplasms(gNENs).

METHODSClinicopathologic data of 104 patients with gastric neuroendocrine neoplasms admitted in Chinese PLA General Hospital between January 2000 and December 2014 were analyzed retrospectively. Tumor proliferation activity classification (G1, G2 and G3) and TNM staging were observed. The clinicopathologic features of the whole group were collected and the univariate and multivariate analysis were determined by Log-rank and Cox proportional hazard model to detect the prognosis-determining features.

RESULTSOf all the patients, 66 cases(63.5%) were neuroendocrine carcinoma, 25 cases(24.0%) were mixed adenoendocrine carcinoma and 12 cases (11.5%) were neuroendocrine tumor. For G grades, 92 cases (88.5%) were G3 grade, 8 cases(7.7%) were G2 grade and 4 cases (3.8%) were G1 grade. TNM staging results showed that stageI( was found in 6 cases (5.8%), stageII(A in 6 cases (5.8%), stageII(B in 9 cases (8.7%), stage III(A in 8 cases (7.7%), stage III(B in 55 cases (52.9%) and stageIIII( in 20 cases (19.2%). For T stage, 7 cases (6.7%) were T1, 12 cases (11.5%) were T2, 24 cases (23.1%) were T3, and 61 cases (58.7%) were T4. Lymph node metastasis occurred in 73 cases (70.2%) and distant metastasis occurred in 20 cases(19.2%). Eighty-six patients were followed up for 6 to 186 months. The median survival was 33.0 months(95% CI: 28.3 to 36.6), and 1-, 3-, and 5-year survival rates were 80%, 49% and 31%. Clinicopathologic features which were considered statistically significant on univariate analysis were selected to Cox proportional hazard model. Univariate analysis showed that risk factors of reducing survival rate included tumor size, pathological type, proliferation activity grades, and depth of invasion (all P<0.05), as well as chromogranin A expression, tumor staging, lymph node metastasis and distant metastasis(all P<0.01). The multivariate analysis showed that the stage of gNEN was the independent risk factor of the prognosis (RR=14.213, 95% CI: 1.316 to 153.524, P=0.029).

CONCLUSIONLate staging is the main clinical feature and a prognostic factor for gNENs.

Carcinoma ; diagnosis ; pathology ; Humans ; Lymphatic Metastasis ; Multivariate Analysis ; Neoplasm Staging ; Neuroendocrine Tumors ; diagnosis ; pathology ; Prognosis ; Proportional Hazards Models ; Retrospective Studies ; Risk Factors ; Stomach Neoplasms ; diagnosis ; pathology ; Survival Rate

Malignant tumors of the skull base are rare,present with a variation of histologic stypes, and don't have specific symptoms. Their treatment paradigms differ with histology,location and stage. Many times it is essential to need multidisciplinary cooperation for dealing them. A better understangding of malignant tumors of the skull base will be beneficial for standardized treatment.