Objective:To study the implementation progress of the prevention and control measures for drinking water-borne endemic fluorosis and the changing trend of fluorosis conditions in Inner Mongolia Autonomous Region, comprehensively evaluate the effectiveness of prevention and control measures, and provide a basis for the next step of prevention and control of the disease.Methods:In 2015 and 2023, a cross-sectional survey method was used to investigate the water improvement situation, the operation of water improvement projects, the detection of fluoride level in water, and the prevalence of dental fluorosis in children aged 8 to 12 in all affected villages of 11 leagues (cities) in the entire autonomous region. The prevention and control effect of drinking water-borne endemic fluorosis in the entire autonomous region was evaluated.Results:The water improvement rates of all affected villages in the entire autonomous region in 2015 and 2023 were 84.12% (8 218/9 769) and 95.38% (8 944/9 377), respectively. The qualified rates of water fluoride in the villages with water improvement in the entire autonomous region were 66.21% (5 441/8 218) and 91.00% (8 139/8 944), respectively. The water improvement rate and water fluoride qualification rate of water improvement villages in 2023 were both higher than those in 2015, and the differences were statistically significant (χ 2 = 652.96, 1 593.81, P < 0.001). The detection rates of dental fluorosis in children aged 8 to 12 years in the entire autonomous region in 2015 and 2023 were 9.26% (7 548/81 484) and 4.46% (3 441/77 155), respectively. The detection rate of dental fluorosis in children in 2023 was lower than that in 2015, and the difference was statistically significant (χ 2 = 1 418.20, P < 0.001). In 2015 and 2023, the total compliance rate of all affected villages in the entire autonomous region reaching the control standards were 57.94% (5 660/ 9 769) and 92.37% (8 662/9 377), respectively. The total compliance rate of all affected villages in 2023 was higher than that in 2015, and the difference was statistically significant (χ 2 = 3 010.38, P < 0.001). Conclusions:Compared with 2015, the prevention and control measures of drinking water-borne endemic fluorosis in Inner Mongolia Autonomous Region have been effectively implemented in 2023, with a significant decrease in the detection rate of dental fluorosis in children. However, there are still a few affected villages that have not achieved the control standards, and prevention and control work still need to be further strengthened.

Objective:To investigate the characteristics of the population of skeletal fluorosis patients in drinking-tea-borne endemic fluorosis (referred to as drinking-tea-borne fluorosis) areas in Inner Mongolia Autonomous Region (referred to as Inner Mongolia) and the influencing factors of treatment willingness, and to provide a basis for improving the prevention and control measures of drinking-tea-borne fluorosis and the treatment plan of skeletal fluorosis.Methods:From August to October 2022, a face-to-face questionnaire survey was conducted in key areas of drinking-tea-borne fluorosis in Inner Mongolia (administrative villages with an average daily intake of tea fluoride > 3.5 mg and skeletal fluorosis patients identified by the general survey of drinking-tea-borne fluorosis in Inner Mongolia in 2019), and to investigate the demographic, severity, and treatment status of patients with skeletal fluorosis, analyze the demographic characteristics of patients with skeletal fluorosis and the influencing factors of treatment willingness.Results:A total of 734 patients with skeletal fluorosis were investigated, including 543 mild cases, 125 moderate cases and 66 severe cases. The gender ratio of patients with skeletal fluorosis was 0.71 ∶ 1.00 (305/429), the age was concentrated in > 50 - 70 years old (70.57%, 518/734), the proportion of Mongolians was 94.28% (692/734), the proportion of herders was 97.68% (717/734), the educational level was mainly primary school (54.63%, 401/734), and the proportion of poor households and immigrants who had moved to their current residence was 7.08% (52/734) and 8.04% (59/734), respectively. The distribution of the severity of skeletal fluorosis in patients of different ages, genders, and educational levels was compared, and the differences were statistically significant ( P < 0.05). Fifty-three point two seven percent (391/734) of the patients had a willingness to undergo non-pharmacological treatment, of which 69.82% (273/391) had already started non-pharmacological treatment, with a treatment effectiveness rate of 73.99% (202/273). Sixty-five point two six percent (479/734) of the patients had a willingness to receive medication treatment, of which 7.31% (35/479) had already started medication treatment, with a treatment effectiveness rate of 54.29% (19/35). Zero point two seven percent (2/734) of the patients expressed a willingness to undergo surgical treatment, while no patients underwent surgical treatment. Multivariate logistic regression analysis showed that the age, ethnicity, occupation, educational level, poverty status, immigrants status, and the severity of skeletal fluorosis were all influencing factors of non-pharmacological treatment willingness ( P < 0.05). Occupation, educational level, poverty status, immigrants status, and the severity of skeletal fluorosis were all influencing factors of medication treatment willingness ( P < 0.05). Conclusions:Patients with skeletal fluorosis caused by tea drinking in Inner Mongolia are mainly from Mongolian ethnic groups, herders, middle-aged and elderly people, and those with a lower educational levels. The willingness of patients to receive treatment is influenced by various factors, and corresponding intervention measures can be formulated and taken based on these influencing factors to effectively improve the disease prevention awareness and treatment willingness of patients and the public.

Objective:To study the relationship between urinary arsenic methylation metabolism patterns and skin keratinization and pigmentation abnormalities in population exposed to arsenic through drinking water.Methods:Using a cross-sectional study method, a survey on endemic arsenic poisoning was conducted among permanent residents of drinking water endemic arsenic poisoning areas in Bayannur City, Inner Mongolia Autonomous Region in 2004 (before water improvement). In 2017 (after water improvement), 71 arsenic exposed individuals were followed up as survey subjects. According to the "Diagnosis of Endemic Arsenism" (WS/T 211-2015), the clinical grading of skin injuries (skin keratinization, pigmentation abnormalities) in the survey subjects was evaluated. Urine samples were collected for detection of arsenic methylation metabolite levels by high-performance liquid chromatography inductively coupled plasma mass spectrometry and calibrated with urinary creatinine. The changes and amplitudes of urinary arsenic methylation indicators before and after water improvement were calculated and analyzed according to the outcome of skin keratinization and pigmentation abnormalities which were divided into reduced, unchanged, and added groups.Results:(1) The changes in urinary total arsenic (TAs), inorganic arsenic (iAs), monomethyl arsenic (MMA), and dimethyl arsenic (DMA) levels in different outcome groups of skin keratinization were compared, and the differences were statistically significant ( H = 9.08, 8.77, 9.28, 8.57, P < 0.05). The changes in urinary TAs, iAs, MMA, DMA levels, iAs percentage (iAs%), DMA percentage (DMA%), and primary methylation index (PMI) in different outcome groups of skin pigmentation abnormalities were compared, and the differences were statistically significant ( H = 8.04, 10.67, 8.29, 9.14, 6.30, 9.10, 7.20, P < 0.05). (2) The comparison of amplitudes in urinary TAs, iAs, MMA, and DMA levels in different outcome groups of skin keratinization showed statistically significant differences ( H = 6.92, 7.34, 6.66, 6.16, P < 0.05). The amplitudes in urinary iAs level, iAs%, DMA%, and PMI in different outcome groups of skin pigmentation abnormalities were compared, and the differences were statistically significant ( H = 7.94, 7.61, 9.95, 7.22, P < 0.05). Conclusion:The changes pattern of urinary TAs, iAs, MMA, DMA, iAs%, DMA%, and PMI in population exposed to arsenic through drinking water is related to the transformation of skin keratinization and pigmentation abnormalities.

Objective:To investigate the application value of needle-knife accurate fistulo-tomy (NKAF) for difficult biliary cannulation during endoscopic retrograde cholangiopancreato-graphy (ERCP).Methods:The retrospective and descriptive study was conducted. The clinicopatho-logical data of 137 patients with difficult biliary cannulation during ERCP at Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine between January 2021 and December 2022 were collected. There were 51 males and 86 females, aged (69±13)years. All 137 patients received NKAF for cannulation during ERCP. Observation indicators: (1) surgical situations; (2) complications. Measurement data with normal distribution were represented as Mean± SD. Count data were repre-sented as absolute numbers. Results:(1) Surgical situations. Of 137 patients, 136 cases had succe-ssful cannulation, 1 case had failed cannulation with NKAF following unsuccessful double-guidewire technique. In the 136 successful cases, the endoscope was straightened in 42 cases, left in a long position in 37 cases, and maintained in the standard position in 57 cases. The cannulation time was (90±8)s. (2) Complications. The serum amylase at postoperative 6 hours in the 136 successful cases was (163±23)U/L. No patient developed post-ERCP pancreatitis. Of the 136 patients with successful cannulation, one case experienced post-sphincterotomy bleeding, which was observed oozing from the papillary orifice on emergency gastroscopy. The patient was successfully controlled with endoscopic clips.Conclusion:NKAF is safe and effective for difficult biliary cannulation during ERCP.

Objective:To investigate the prognostic factors for esophageal cancer after radical resection and the application value of machine learning prediction model.Methods:The retrospective cohort study was conducted. The clinicopatholigical data of 406 esophageal cancer patients who were admitted to Qilu Hospital of Shandong University from January 2018 to March 2022 were collected. There were 357 males and 49 females, aged (64±8)years. All patients underwent radical resection of esophageal cancer. The 406 patients were randomly divided into a training set of 285 cases and a validation set of 121 cases at a 7∶3 ratio based on a random number table. The training set was used to construct prediction model, and the validation set was used to validate prediction model. Patients were divided into high-risk group and low-risk group based on risk scores. Observation indicators: (1) follow-up of patients and analysis of influencing factors for prognosis; (2) construction and validation of machine learning prediction models. Comparison of measurement data with normal distribution between groups was conducted using the independent sample t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test. Comparison of ordinal data between groups was conducted using the rank sum test. The Kaplan-Meier method was used to calculate survival rate and plot survival curve, and the Log-rank test was used for survival analysis. The Cox proportional hazard regression model was used for univariate and multivariate analyses. Independent influencing factors were included, and data processing, machine learning model construction, and visualization were performed using R packages including random survival forest (RSF), gradient boosting machine (GBM), least absolute shrinkage and selection operator Cox regression (LASSO-Cox), Cox proportional hazards model boosting (CoxBoost), survival support vector machine (survivalsvm), extreme gradient boosting (XGBoost), supervised principal component analysis (SuperPC), and Cox partial least squares regression (plsRcox). Receiver operating characteristic (ROC) curves were drawn, and sensitivity, specificity, and area under the curve (AUC) were calculated. The Delong test was used to assess the differences in AUC among different models in the training set, and the time-dependent ROC was used to compare the predictive performance of different models. Calibration curves were used to evaluate model accuracy, and decision curve analysis (DCA) was used to evaluate overall net benefit. Results:(1) Follow-up of patients and analysis of influencing factors for prognosis. All 406 patients were followed up postoperatively for 28(range, 6-36)months, with 1- and 3-year overall survival rate of 86.5% and 40.9%, respectively. The 285 patients in the training set were followed up postoperatively for 30(range, 6-36)months, with 1- and 3-year overall survival rate of 85.1% and 35.5%, respectively. The 121 patients in the validation set were followed up postoperatively for 25(range, 6-36)months, with 1- and 3-year overall survival rate of 87.0% and 43.2%, respectively. There was no significant difference in postoperative overall survival rate between the training set and the validation set ( χ2=3.20, P>0.05). Results of multivariate analysis showed that left thoracic surgical approach, preopera-tive neutrophil count, vascular invasion, perineural invasion, pathological T2-4 stage, pathological N2-3 stage, and postoperative pneumonia were independent risk factors affecting postoperative survival of 285 patients in the training set ( hazard ratio=1.466, 1.037, 1.482, 1.549, 5.268, 7.727, 22.202, 2.539, 2.686, 1.425, 95% confidence interval as 1.026-2.096, 1.003-1.073, 1.008-2.179, 1.105-2.170, 1.201-23.099, 1.833-32.576, 4.734-104.128, 1.577-4.087, 1.631-4.422, 1.018-1.994, P<0.05). (2) Construction and validation of machine learning prediction models. Independent risk factors affecting postoperative survival were included to construct RSF, GBM, LASSO-Cox, CoxBoost, survivalsvm, XGBoost, SuperPC, and plsRcox machine learning prediction models. Results of Delong test showed that there were significant differences in the AUC of RSF and GBM from the other six models ( P<0.05). Results of time-dependent ROC curve showed that all 8 machine learning predic-tion models had good discriminative ability in the training cohort, among which the RSF machine learning prediction model had the best predictive performance. Results of calibration curve showed that the RSF machine learning prediction model fitted well for predicting postoperative 1-, 2-, and 3-year overall survival in the training cohort, with high consistency with actual results. Results of decision curve analysis showed that within a threshold range of 0-0.80, the RSF machine learning prediction model provided a better overall net benefit. Further analysis showed that in the validation set, the AUC of RSF machine learning prediction model for postoperative 1-, 2-, and 3-year survival prediction were 0.786 (95% confidence interval as 0.609-0.962), 0.774 (95% confidence interval as 0.676-0.873), and 0.750 (95% confidence interval as 0.652-0.848), respectively. Results of calibration curve showed that the RSF machine learning prediction model fitted well for predicting postopera-tive 1-, 2-, and 3-year overall survival in the validation set, with high consistency with actual results. In the training set, the optimal cutoff value of the RSF machine learning prediction model risk score was 11.7. Patients with risk score ≥11.7 were classified as the high-risk group, and those with risk score <11.7 as the low-risk group. The median survival times of the two groups were 18.0 months and >36.0 months, respectively, showing a significant difference between them ( χ2=73.30, P<0.05). In the validation set, the optimal cutoff value of the RSF machine learning prediction model risk score was 11.7. Patients with risk score ≥11.7 were classified as the high-risk group, and those with risk score<11.7 as the low-risk group. The median survival times of the two groups were 17.0 months and>36.0 months for the high-risk and low-risk groups, respectively, showing a significant difference between them ( χ2=35.20, P<0.05). Conclusions:Left thoracic surgical approach, preoperative neutrophil count, vascular invasion, perineural invasion, pathological T2-4 stage, pathological N2-3 stage, and postoperative pneumonia are independent risk factors affecting survival of esophageal cancer patients after radical resection. The RSF machine learning prediction model constructed based on these factors can effectively distinguish the survival prognosis of high-risk and low-risk patients.

The new cultural construction of high-quality development of public hospitals proposes a patient-oriented ap-proach.People with disabilities,represented by the hearing-impaired community,faces many difficulties in the process of seeking medical care,and their needs have not been adequately addressed.This inadequacy adversely affects the development of harmoni-ous doctor-patient relationships and the patient medical experience.This study takes the deaf assistance outpatient clinic,first es-tablished by Shanghai East Hospital as an example to elaborate the practice of cultural brand construction under the leadership of Party building.Medical social workers,healthcare professionals,and volunteers work together to build a cultural brand through institutional guarantees,detailed care,and the establishment of a full process service system.This is expected to provide refer-ences for the construction of hospital cultural brands..

The new cultural construction of high-quality development of public hospitals proposes a patient-oriented ap-proach.People with disabilities,represented by the hearing-impaired community,faces many difficulties in the process of seeking medical care,and their needs have not been adequately addressed.This inadequacy adversely affects the development of harmoni-ous doctor-patient relationships and the patient medical experience.This study takes the deaf assistance outpatient clinic,first es-tablished by Shanghai East Hospital as an example to elaborate the practice of cultural brand construction under the leadership of Party building.Medical social workers,healthcare professionals,and volunteers work together to build a cultural brand through institutional guarantees,detailed care,and the establishment of a full process service system.This is expected to provide refer-ences for the construction of hospital cultural brands..

Objective:To investigate the application value of needle-knife accurate fistulo-tomy (NKAF) for difficult biliary cannulation during endoscopic retrograde cholangiopancreato-graphy (ERCP).Methods:The retrospective and descriptive study was conducted. The clinicopatho-logical data of 137 patients with difficult biliary cannulation during ERCP at Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine between January 2021 and December 2022 were collected. There were 51 males and 86 females, aged (69±13)years. All 137 patients received NKAF for cannulation during ERCP. Observation indicators: (1) surgical situations; (2) complications. Measurement data with normal distribution were represented as Mean± SD. Count data were repre-sented as absolute numbers. Results:(1) Surgical situations. Of 137 patients, 136 cases had succe-ssful cannulation, 1 case had failed cannulation with NKAF following unsuccessful double-guidewire technique. In the 136 successful cases, the endoscope was straightened in 42 cases, left in a long position in 37 cases, and maintained in the standard position in 57 cases. The cannulation time was (90±8)s. (2) Complications. The serum amylase at postoperative 6 hours in the 136 successful cases was (163±23)U/L. No patient developed post-ERCP pancreatitis. Of the 136 patients with successful cannulation, one case experienced post-sphincterotomy bleeding, which was observed oozing from the papillary orifice on emergency gastroscopy. The patient was successfully controlled with endoscopic clips.Conclusion:NKAF is safe and effective for difficult biliary cannulation during ERCP.

BackgroundMigraine is a common chronic neurological disease， and patent foramen ovale （PFO） has been closely associated with migraine. Current research primarily focuses on the pathological mechanism and the therapeutic effects of interventional closure， with limited attention paid to the impact of PFO on sleep quality in migraine patients. ObjectiveTo compare the difference in sleep quality between PFO-positive and PFO-negative migraine patients， and to analyzes influencing factors of sleep quality in PFO-positive migraine patients， so as to provide references for clinical interventions to improve sleep quality in PFO-positive migraine patients. MethodsA total of 673 migraine patients who met the diagnostic criteria of migraine in the International Classification of Headache Disorders， third edition （ICHD-3）， and all patients underwent contrast-enhanced transcranial Doppler （c-TCD） and transthoracic echocardiographic right heart contrast echocardiography （cTTE） in the Third Hospital of Mianyang from January 2020 to October 2024. Basic demographic data were collected using a self-designed questionnaire， headache severity was assessed with the Visual Analogue Scale （VAS）， and sleep quality was invaluated using the Pittsburgh Sleep Quality Index （PSQI）. PFO patients was diagnosed through c-TCD combined with c-TTE. Binary logistic regression analysis was employed to examine the influencing factors of sleep quality in PFO-positive migraine patients. ResultsA total of 673 （100.00%） migraine patients were enrolled， including 223 PFO-positive cases （33.14%） and 450 PFO-negative cases（66.86%）. The PFO-positive group showed significantly more severe headache severity （χ²=15.799， P<0.01） and poorer sleep quality （χ²=14.377， P<0.01） compared with PFO-negative group. PFO-positive patients demonstrated significantly higher barrier factor scores of sleep quality， sleep latency， sleep efficiency， sleep disturbance， hypnotic medication use， and daytime dysfunction compared with PFO-negative counterparts （t=3.634， 3.269， 2.785， 3.428， 2.907， 3.637， Bonferroni adjust P<0.05/7=0.007）.By contrast， no significant difference was noted in sleep duration scores between the two groups（t=2.349， Bonferroni adjust P>0.05/7=0.007）.The Binary Logistic regression analysis revealed that age （OR=1.021， 95% CI： 1.001~1.041）， headache severity （OR=6.030， 95% CI： 4.085~8.901）， and PFO grade （OR=1.893，95% CI： 1.288~2.784）were significant influencing factors for sleep quality in migraine patients with PFO. ConclusionMigraine patients with PFO-positive exhibited poorer sleep quality compared wtih PFO-negative patients. Older age， higher headache servity， and more severe PFO grade are identified as risk factors for impaired sleep quality in PFO-positive migraine patients.

Objective To investigate the associations between unilateral or bilateral hearing loss and 12 chronic diseases as well as multimorbidity among the oldest old in China,and to identify disparities in these associations of left-and right-side hearing loss with chronic diseases.Methods Totally 7 437 people aged ≥80 years old were selected from the Chinese Longitudinal Health and Longevity Survey(CLHLS)2018 cross-sectional data.With 12 chronic diseases and multimorbidity as outcome variables,the hearing loss as explanatory variable,socio-demographic characteristics,family factors,and lifestyle as covariates,the correlations of unilateral(left-or right-side)and bilateral hearing loss with chronic diseases and multimorbidity were analyzed using multivariate logistic regression model,and the trend analyses were carried out.Results There were 205(2.76％),227(3.05％)and 3 598(48.38％)old people with left-side,right-side and bilateral hearing loss,respectively.After adjusting for confounders,the oldest old with left-sided or bilateral hearing loss had a greater risk of multimorbidity compared with those with normal hearing function,with odds ratio(95％confidence interval)of 2.14(1.58-2.90)and 1.27(1.13-1.43),respectively,while no association between right-sided hearing loss and multimorbidity was observed(P＞0.05).Trend analysis showed that the risk of multimorbidity increased with hearing loss from none to unilateral and then to bilateral(P＜0.001).Conclusion Hearing loss may be related to the increased risk of multimorbidity in the oldest old,and the risk of those with bilateral hearing loss is higher.More attention should be paid to the prevention and treatment of hearing loss in the oldest old.