Objective To investigate the dietary patterns of rural residents in the high-incidence areas of esophageal cancer (EC), and to explore the clustering and influencing factors of risk factors associated with high-incidence characteristics. Methods A special structured questionnaire was applied to conduct a face-to-face survey on the dietary patterns of rural residents in Yanting county of Sichuan Province from July to August 2021. Univariate and multivariate logistic regression models were used to analyze the influencing factors of risk factor clustering for EC. Results There were 838 valid questionnaires in this study. A total of 90.8% of rural residents used clean water such as tap water. In the past one year, the people who ate fruits and vegetables, soybean products, onions and garlic in high frequency accounted for 69.5%, 32.8% and 74.5%, respectively; the people who ate kimchi, pickled vegetables, sauerkraut, barbecue, hot food and mildew food in low frequency accounted for 59.2%, 79.6%, 68.2%, 90.3%, 80.9% and 90.3%, respectively. The clustering of risk factors for EC was found in 73.3% of residents, and the aggregation of two risk factors was the most common mode (28.2%), among which tumor history and preserved food was the main clustering pattern (4.6%). The logistic regression model revealed that the gender, age, marital status and occupation were independent influencing factors for the risk factors clustering of EC (P<0.05). Conclusion A majority of rural residents in high-incidence areas of EC in Yanting county have good eating habits, but the clustering of some risk factors is still at a high level. Gender, age, marital status, and occupation are influencing factors of the risk factors clustering of EC.

Objective:To learn about the age, period, birth cohort characteristics, and incidence trends of hemorrhagic fever with renal syndrome (HFRS) nationwide.Methods:HFRS monitoring data from 2004 to 2018 were collected from the National Public Health Science Data Center (https://www.phsciencedata.cn/). The trend of incidence rate of HFRS was analyzed by joinpoint regression, and the linear trend was estimated by annual percentage change (APC) and average annual percentage change (AAPC). Bayesian Age-Period-Cohort (BAPC) analysis of the effects of age, period, and birth cohort on HFRS cases was conducted, with age, period, and birth cohort used as reference for the 40 - 44 age group, 2011, and 1968, respectively, the RR and 95% CI were calculated. Results:From 2004 to 2018, a total of 190 197 HFRS cases were reported nationwide, with an average annual incidence rate of 0.95/100 000. Among them, the highest incidence rate of HFRS was 1.93/100 000 in 2004. Since 2007, it had continued to fluctuate below 1.00/100 000, ranging from 0.66/100 000 to 0.99/100 000. Joinpoint regression fitting results showed that the overall incidence of HFRS in China was declining (AAPC = - 7.33%, 95% CI: - 8.07% - - 6.58%, P < 0.001); the APCs from 2004 to 2007, 2007 to 2009, and 2012 to 2016 were - 32.00%, - 8.74%, and - 9.02%, respectively, all showed a downward trend( P < 0.05); the APCs from 2009 to 2012 and from 2016 to 2018 were 14.69% and 11.38%, respectively, both showed an upward trend ( P < 0.05). HFRS cases were reported in all age groups, and the reported incidence rate showed a unimodal distribution with age. Among them, the highest incidence rate was in the 50 - 54 age group (1.75/100 000), and the lowest incidence rate was in the 0 - 4 age group (0.03/100 000); the proportion of cases in the age group of 60 years and above increased from 9.75% in 2004 to 25.90% in 2018, showed an increasing trend year by year (χ 2trend = 9 210.90, P<0.001). The analysis results of the BAPC model showed that in the age effect analysis, compared with the reference age group, there was no significant difference in the incidence risk among the age groups of 15 - 79 years old ( P > 0.05), while the incidence risk was lower in the age groups of 14 years old and below, and 80 years old and above ( RR < 1, P < 0.05). In the analysis of period effects, compared with the reference year, the incidence risk was higher from 2004 to 2006 and from 2012 to 2014 ( RR > 1 , P < 0.05), and lower from 2008 to 2010 and from 2017 to 2018 ( RR < 1, P < 0.05); the overall trend was consistent with the descriptive analysis of onset period. In the analysis of birth cohort effect, compared with the reference cohort, the population born between 1920 - 1935 and 1970 - 2018 had lower incidence risk ( RR < 1, P < 0.05); but the risk of disease in the population born after 2003 showed an upward trend. Conclusions:The HFRS epidemic in China has decreased from 2004 to 2018, but the downward trend in recent years is not significant. The incidence risk has increased among people born after 2003. The population aged 60 and above is a key group for further controlling the HFRS epidemic in China.

Carcinoid is a kind of tumor originating from neuroendocrine cells, which is rare in female reproductive system. Patients with primary ovarian carcinoid are usually difficult to diagnose before operation, and often coexist with ovarian teratoma. Postoperative pathology is the final basis for diagnosis. Adnexectomy is the main choice for treatment. The effect of surgical treatment is satisfied. The clinical data of 3 patients with ovarian carcinoid were analyzed and the literature was reviewed in order to deepen the understanding of primary ovarian carcinoid and guide the clinical therapy.

Objective:To explore the development trends, frontiers, and hotspots of research on early rehabilitation for patients with severe neurological diseases at home and abroad in the past 10 years, with a view to providing reference for the development of early rehabilitation for patients with severe neurological diseases in China.Methods:The article on early rehabilitation for patients with severe neurological diseases was systematically searched in the Web of Science and China National Knowledge Infrastructure (CNKI) . The search period was from January 1, 2012 to June 1, 2022. CiteSpace software was used to construct a visual graph of early rehabilitation for patients with severe neurological diseases in authoritative databases in both Chinese and English, for agency cooperation, author cooperation, keyword co-occurrence, and keyword clustering analysis.Results:A total of 349 articles were included, including 237 Chinese articles and 112 English articles. According to the search results of CNKI, there were 161 institutions publishing article related to early rehabilitation for patients with severe neurological diseases in China, among which the Nursing Department of Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medicine School had the highest number of publications (4 articles) . The search results of the Web of Science showed that there were 160 institutions publishing article in this field, among which the Florey Institute of Neuroscience and Mental Health in Australia in Australia had the highest number of publications (16 articles) . Foreign researchers mainly focused on the safety assessment and timing of early rehabilitation for patients with severe neurological diseases, while domestic research mainly focused on the evaluation of the effectiveness of different rehabilitation methods on early rehabilitation for patients with severe neurological diseases.Conclusions:The research on early rehabilitation of patients with severe neurological diseases in foreign countries is more in-depth and comprehensive than in China, and there are more multi-center clinical studies, providing a high-level evidence for clinical decision-making. On the basis of existing research results, domestic scholars should focus on strengthening interdisciplinary and inter institutional cooperation, improving the quality and effectiveness of rehabilitation, and fully leveraging the leading role of nurses while collaborating across multiple disciplines.

Objective:To explore and analyze the relationship between serum KLK11 and MK levels and the effect of first iodine 131 ( 131I) ablation after operation for differentiated thyroid cancer. Method:108 patients with differentiated thyroid cancer who underwent total thyroidectomy in our hospital from Jun. 2020 to Jun. 2021 were consecutively selected, and received radioactive ablation after surgery. There were 37 males and 71 females. The age was (48.32±4.25) years, ranging from 28 to 79 years. The patients were divided into successful ablation according to whether the ablation was successful after treatment. There were 64 cases in the group and 44 cases in the unsuccessful group, and 60 healthy people with no abnormality in physical examination during the same period were selected as the control group. The patients were divided into a metastasis-positive group of 20 cases and a metastasis-negative group of 88 cases according to whether lymph nodes occurred. After surgery, serum samples of all subjects were taken, and enzyme-linked immunosorbent assay was used to detect the levels of serum kallikrein-related peptidases 11 (KLK11) and midkine (MK) , and the levels of serum KLK11 and MK were analyzed. Gender, age, BMI, TNM stage, TSH, maximum diameter of lesion, and duration of nail removal were collected. Univariate analysis and logistic regression analysis were used to analyze the independent risk factors of postoperative efficacy.Result:The levels of serum KLK11 and MK in the successful and unsuccessful groups were higher than those in the control group, while the levels of KLK11 and MK in the unsuccessful group were higher than those in the successful group (KLK11: t= 2.642, P<0.05; MK: t=11.906, P<0.05) . The serum levels of KLK11 and MK in the metastasis-positive group were higher than those in the metastasis-negative group (KLK11: t= 2.908, P<0.05; MK: t=14.907, P<0.05) . Univariate analysis showed that BMI ( χ2=6.780, P=0.009) , maximum diameter of lesions ( χ2=14.819, P=0.001) , TSH ( χ2=13.627, P=0.001) , serum KLK11 ( t=2.642, P=0.01) , and serum MK ( t=11.906, P<0.001) were associated with the effect of first 131I ablation after surgery for differentiated thyroid cancer ( P<0.05) . Taking the success of ablation as the dependent variable, a multivariate logistic regression analysis was performed. The results showed that the maximum diameter of the lesions greater than 2 cm ( OR=10.740, 95%CI: 7.033-16.401) , increased level of TSH ( OR=8.559, 95%CI: 2.812-26.057) , increased serum KLK11 level ( OR=16.710, 95%CI: .548-32.666) and increased serum MK level ( OR=10.580, 95%CI: 6.294-17.786) were the factors affecting the first 131I ablation effect after DTC surgery ( P<0.05) . Conclusion:The elevated levels of serum KLK11 and MK are independent risk factors affecting the efficacy of the first 131I ablation after surgery for differentiated thyroid cancer.

Metformin is currently a strong candidate anti-tumor agent in multiple cancers. However, its anti-tumor effectiveness varies among different cancers or subpopulations, potentially due to tumor heterogeneity. It thus remains unclear which hepatocellular carcinoma (HCC) patient subpopulation(s) can benefit from metformin treatment. Here, through a genome-wide CRISPR-Cas9-based knockout screen, we find that DOCK1 levels determine the anti-tumor effects of metformin and that DOCK1 is a synthetic lethal target of metformin in HCC. Mechanistically, metformin promotes DOCK1 phosphorylation, which activates RAC1 to facilitate cell survival, leading to metformin resistance. The DOCK1-selective inhibitor, TBOPP, potentiates anti-tumor activity by metformin in vitro in liver cancer cell lines and patient-derived HCC organoids, and in vivo in xenografted liver cancer cells and immunocompetent mouse liver cancer models. Notably, metformin improves overall survival of HCC patients with low DOCK1 levels but not among patients with high DOCK1 expression. This study shows that metformin effectiveness depends on DOCK1 levels and that combining metformin with DOCK1 inhibition may provide a promising personalized therapeutic strategy for metformin-resistant HCC patients.
Animals ; Antineoplastic Agents/therapeutic use* ; Carcinoma, Hepatocellular/metabolism* ; Cell Line, Tumor ; Clustered Regularly Interspaced Short Palindromic Repeats ; Genome ; Humans ; Liver Neoplasms/metabolism* ; Metformin/therapeutic use* ; Mice ; Phosphorylation ; Synthetic Lethal Mutations ; Transcription Factors/metabolism* ; rac GTP-Binding Proteins/metabolism*

Objective:To investigate the influencing factors for lymph node metastasis and prognosis in stage T1 and T2 esophageal squamous cell carcinoma after radical surgery and construct nomogram prediction models.Methods:The retrospective cohort study was conducted. The clinico-pathological data of 672 patients with T1 and T2 esophageal squamous cell carcinoma who were admitted to the Affiliated Hospital of North Sichuan Medical College from January 2014 to December 2019 were collected. There were 464 males and 208 females, aged (65±8)years. All patients under-went radical esophagectomy+2 or 3 field lymph node dissection. Observation indicators: (1) lymph node dissection, metastasis and follow-up. (2) risk factors for lymph node metastasis of esophageal cancer after radical resection. (3) prognostic factors of esophageal cancer after radical resection. (4) construction and evaluation of the prediction models of lymph node metastasis and prognosis of esophageal cancer after radical resection. Follow-up was conducted using outpatient examination, telephone and internet consultations to detect survival of patients up to April 2021. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was conducted using the t test. Measurement data with skewed distribution were represented as M(range). Count data were described as absolute numbers or percentages, and comparison between groups was conducted using the chi-square test. Kaplan-Meier method was used to calculate survival rate and draw survival curve. Log-Rank test was used for survival analysis. Logistic regression model was used for univariate and multivariate analyses of risk for lymph node metastasis, and COX regression model was used for univariate and multivariate analyses of prognosis. Based on the results of multi-variate analysis, the nomogram prediction models for lymph node metastasis and prognosis predic-tion were constructed. The prediction discrimination of the nomogram models were evaluated using the area under curve (AUC) of the receiver operating characteristic curve (ROC). The calibration curve was used to evaluate the prediction consistency of the models. Results:(1) Lymph node dissection, metastasis and follow-up. The number of lymph node dissected was 14±8 and the number of lymph node metastasis was 2(range, 1?19) in 672 patients. Of the 672 patients, there were 182 cases had lymph node metastasis, including 58 cases in T1 stage and 124 cases in T2 stage. All 672 patients were followed up for 38 (range, 1?85)months. The average overall survival time of 672 patients was 65 months, with the 1-, 3-, 5-year overall survival rate as 89.0%, 74.3%, 66.0%, respectively. The average overall survival time of 325 patients in T1 stage and 347 patients in T2 stage were 70 months and 61 months. The 1-, 3-, 5-year overall survival rate of 325 patients in T1 stage and 347 patients in T2 stage were 95.0%, 83.5%, 73.4% and 87.4%, 69.9%, 59.2%, respectively, showing a significant difference in survival between them ( χ2=14.51, P<0.05). (2) Risk factors for lymph node metastasis of esophageal cancer after radical resection. Results of univariate analysis showed that tumor location, tumor histological grade, tumor T staging were related factors affecting lymph node metastasis of esophageal cancer after radical resection ( odds ratio=1.40, 1.54, 2.56, 95% confidence interval as 1.07?1.85, 1.20?1.99, 1.79-3.67, P<0.05). Results of multivariate analysis showed that tumor location, tumor histological grade, tumor T staging were independent factors affecting lymph node metastasis ( odds ratio=1.42, 1.61, 2.63, 95% confidence interval as 1.07?1.89, 1.25?2.09, 1.82?3.78, P<0.05). (3) Prognostic factors of esophageal cancer after radical resection. Results of univariate analysis showed that preoperative comorbidities, postoperative complications, tumor histological grade (G3), tumor T staging, tumor N staging (N1 stage, N2 stage, N3 stage), tumor TNM staging (Ⅲ stage, Ⅳ stage) were related factors affecting prognosis of esophageal cancer after radical resection ( hazard ratio= 1.48, 1.64, 2.23, 1.85, 2.09, 4.48, 4.97, 3.54, 5.53, 95% confidence interval as 1.08?2.03, 1.20?2.23, 1.47?3.39, 1.34?2.54, 1.44?3.04, 2.89?6.95, 1.57?15.73, 2.48?5.05, 1.73?17.68, P<0.05). Results of multivariate analysis showed that preoperative comorbidities, G3 of tumor histological grade, T2 stage of tumor T staging, N1 stage, N2 stage, N3 stage of tumor N staging were independent risk factors affecting prognosis of esophageal cancer after radical resection ( hazard ratio=1.57, 1.89, 1.63, 1.71, 3.72, 3.90, 95% confidence interval as 1.14?2.16, 1.23?2.91, 1.17?2.26, 1.16?2.51, 2.37?5.83, 1.22?12.45, P<0.05). (4) Construction and evaluation of the prediction models of lymph node metastasis and prognosis of esophageal cancer after radical resection. Based on the results of multivariate analysis, tumor location, tumor histological grade, tumor T staging were applied to construct a nomo-gram model for lymph node metastasis prediction of esophageal cancer after radical resection, the score of tumor location, tumor histological grade, tumor T staging were 82, 100, 100, respectively, and the sum of the scores corresponding to the lymph node metastasis rate. Preoperative comor-bidity, tumor histological grade, tumor T staging, tumor N staging were applied to construct a nomo-gram model for 1-, 3-, 5-year overall survival rate prediction of esophageal cancer after radical resection, the score of preoperative comorbidity, tumor histological grade, tumor T staging, tumor N staging were 23, 38, 27, 100, respectively, and the sum of the scores corres-ponding to the 1-, 3-, 5-year overall survival rate. Results of ROC showed that the AUC of nomogram model for lymph node metastasis prediction after radical esophagectomy was 0.66 (95% confidence interval as 0.62?0.71, P<0.05). The AUC of nomogram model for 1-, 3-, 5-year overall survival rate prediction after radical esophagectomy were 0.73, 0.74, 0.71 (95% confidence intervals as 0.66?0.80, 0.68?0.79, 0.65?0.78, P<0.05). Results of calibration curve showed that the predicted lymph node metastasis rate and the predicted 1-, 3-, 5-year overall survival rate by nomogram models were consistent with the actual lymph node metastasis rate and 1-, 3-, 5-year overall survival rate. Conclusions:Tumor location, tumor histological grade, tumor T staging are independent factors affecting lymph node metastasis in T1 and T2 esophageal squamous cell carcinoma after radical surgery and nomogram model constructed by these indicators can predict the lymph node metas-tasis rate. Preoperative comor-bidities, G3 of tumor histological grade, T2 stage of tumor T staging, N1 stage, N2 stage, N3 stage of tumor N staging are independent risk factors affecting prognosis and nomogram model constructed by these indicators can predict the overall survival rate of patients after surgery.

Objective:To analyze the effects of seasonal autoregressive integrated moving average model (SARIMA), generalized additive model (GAM), and long-short term memory model (LSTM) in fitting and predicting the incidence of hemorrhagic fever with renal syndrome (HFRS), so as to provide references for optimizing the HFRS prediction model.Methods:The monthly incidence data of HFRS from 2004 to 2017 of the whole country and the top 9 provinces with the highest incidence of HFRS (Heilongjiang, Shaanxi, Jilin, Liaoning, Shandong, Hebei, Jiangxi, Zhejiang and Hunan) were collected in the Public Health Science Data Center (https://www.phsciencedata.cn/), of which the data from 2004 to 2016 were used as training data, and the data from January to December 2017 were used as test data. The SARIMA, GAM, and LSTM of HFRS incidence in the whole country and 9 provinces were fitted with the training data; the fitted model was used to predict the incidence of HFRS from January to December 2017, and compared with the test data. The mean absolute percentage error ( MAPE) was used to evaluate the model fitting and prediction accuracy. When MAPE < 20%, the model fitting or prediction effect was good, 20%-50% was acceptable, and > 50% was poor. Results:From the perspective of overall fitting and prediction effect, the optimal model for the whole country and Heilongjiang, Shaanxi, Jilin, Liaoning and Jiangxi was SARIMA ( MAPE was 19.68%, 20.48%, 44.25%, 19.59%, 23.82% and 35.29%, respectively), among which the fitting and prediction effects of the whole country and Jilin were good, and the rest were acceptable. The optimal model for Shandong and Zhejiang was GAM ( MAPE was 18.29% and 21.25%, respectively), the fitting and prediction effect of Shandong was good, and Zhejiang was acceptable. The optimal model for Hebei and Hunan was LSTM ( MAPE was 26.52% and 22.69%, respectively), and the fitting and prediction effects were acceptable. From the perspective of fitting effect, GAM had the highest fitting accuracy in the whole country data, with MAPE = 10.44%. From the perspective of prediction effect, LSTM had the highest prediction accuracy in the whole country data, with MAPE = 12.23%. Conclusions:SARIMA, GAM, and LSTM can all be used as the optimal models for fitting the incidence of HFRS, but the optimal models fitted in different regions show great differences. In the future, in the establishment of HFRS prediction models, as many alternative models as possible should be included for screening to ensure higher fitting and prediction accuracy.

Objective:To explore the ability of the Hammersmith Infant Neurological Examination (HINE) to predict the gross motor development of high-risk infants.Methods:A total of 207 high-risk infants were assessed with the HINE and the Gesell Developmental Schedule (GDS) at the ages of 3, 6, 9 and 12 months. They were then divided into a normal development group and a delayed group according to their gross motor development at 12 months old. The validity of the HINE′s discrimination was quantified retrospectively as the difference in the total HINE score at each follow-up month between the two groups. Spearman coefficients relating the total HINE score with the gross motor development quotient from the GDS were calculated at each follow-up month. The HINE′s total score threshold for predicting gross motor retardation at 12 months was determined from a receiver operating characteristics curve, and the predictive validity, sensitivity and specificity were evaluated by calculating the area under the curve.Results:At each time point the average total HINE score of the delayed group was significantly lower than the normal group′s average. The correlation between the HINE total scores and the GDS gross motor development quotients was strongest at 6 months old, and weakest at 3 months. The threshold total HINE score for predicting gross motor retardation at 12 months old was 60 at 3 months, 67 at 6 months, and then 71. The instrument′s sensitivity and specificity were very good at all four time points.Conclusion:The HINE can usefully predict gross motor retardation in the first year of life for high-risk infants. The critical value of the total score can be used as an auxiliary diagnostic reference for neuromotor development in such infants.

Objective:To investigate the value of the size-specific dose estimate (SSDE) on dose estimations of children's head CT scans.Methods:A retrospective study was conducted on plain head CT scans of 252 patients with the 64-row detector CT device of Discovery 750HD in the Union Hospital, Tongji Medical College, Huazhong University of Science and Technology from January to September in 2019. The volume CT dose index (CTDI vol)values were recorded. The head circumference (HC), area, and CT value were measured using a self-developed computer program, and the water equivalent diameter (WED), size-specific conversion factors ( f293 and f220), and absorbed dose (SSDE 293 and SSDE 220) were calculated according to the AAPM reports 293 and 220.The patients were divided into three groups by the quartering meth odaccording to their HC(<47.8 cm, 47.8-52.7 cm, >52.7 cm)and four groups based on their ages(0-2, 3-6, 7-10 and 11-14 years old). The difference between parameters ( f220 and f293, SSDE 220 and SSDE 293、SSDE 293 and CTDI vol) were compared for different groups, and the correlation of HC with f293 and SSDE 293 was analyzed. Results:There was an overestimation of f220 by 11.11% ( t=252.61, P<0.05) compared with f293. SSDE 220 was overestimated by 10.31% ( t=228.21, P<0.05) compared with SSDE 293, and SSDE 293 was underestimated by 9.60% ( t=-31.34, P<0.05)compared with CTDI vol. For the three HC groups, SSDE 220 was overestimated by 8.54%, 10.37%, and 11.57% ( t=73.73, 438.58, 275.52, P<0.05)compared with SSDE 293, and SSDE 293 was underestimated by 1.30%, 9.79%, and 14.61% ( t=-1.91, -60.95, -47.64, P<0.05)compared with CTDI vol. For the four age groups SSDE 220 was overestimated by 8.45%, 10.00%, 10.57%, and 11.36% ( t=63.58, 232.29, 247.84, 302.95, P< 0.05)compared with SSDE 293, and SSDE 293 was underestimated by 1.49%, 8.27%, 10.63%, and 13.78% ( t=-1.83, -28.27, -37.30, -49.80, P< 0.05)compared with CTDI vol. Furthermore, HC was highly correlated with f293 and SSDE 293 ( r2=0.88 and 0.76, respectively, P< 0.05). Conclusions:The radiation dose in children′s head CT scanning can be more accurately estimated according to the AAPM Report 293, while it can be overestimated by CTDI vol. Meanwhile, the CT radiation dose can be patently overestimated with the AAPM Report 220 compared with Report 293.HC is closely correlated with f293 and SSDE 293 and it can be used to estimatee more accurately for SSDE and the radiation dose received by children during head CT scanning.