ObjectiveBased on literature data mining， this study explores the modeling elements of diarrhea-predominant irritable bowel syndrome （IBS-D） animal models in China and abroad， providing references and suggestions for improving modeling methods and evaluation indicators. MethodsRelevant literature on IBS-D animal experiments from 2014 to 2024 was retrieved through computer searches in databases such as China National Knowledge Infrastructure （CNKI）， Wanfang Data， VIP， Chinese Medical Journals Full-text Database， and PubMed. Information on experimental animal species， gender， body weight， modeling methods， modeling periods， intervention controls， modeling standards， and detection indicators was organized. Microsoft Excel 2021 software was used to establish a database and perform statistical analysis to examine the characteristics of IBS-D animal models. ResultsA total of 398 articles that met the inclusion criteria were reviewed. The IBS-D animal models were predominantly established using SD rats， Wistar rats， and C57BL/6 mice. Male animals were more commonly used， with rats typically aged 6-8 weeks and mice aged 4-6 weeks. In terms of interventions， piverium bromide was the main Western medicine， Tongxieyaofang was the primary Chinese medicine， and electroacupuncture was the primary acupuncture method. Among the modeling methods， the multi-factor combined composite modeling approach was the most common. Modeling periods were mainly concentrated between 1-14 days and 15-30 days. The success criteria for modeling were mainly evaluated based on the animal's general condition， fecal appearance， visceral sensitivity， gastrointestinal motility， behavior， and pathology. Detection indicators included apparent indexes， pathological markers， biochemical indicators， oxidative stress， brain-gut peptides， neurotransmitters， inflammatory factors， immune function， intestinal permeability， autophagy， apoptosis， proteins related to relevant signaling pathways， intestinal microbiota and its metabolites， etc. ConclusionThere are various methods for establishing IBS-D animal models， but no unified and universally accepted method has been established. The operation of the same modeling methods and the evaluation standards of the models vary across studies. Based on the results of data mining， the authors suggest that the multi-factor combined composite modeling approach most closely reflects the pathophysiological processes of IBS-D， better simulating the complex clinical symptoms of IBS-D patients， such as abdominal pain and diarrhea， and has a high degree of clinical relevance. This method is relatively recommended. While animal models in general align with Western medicine standards， models incorporating traditional Chinese medicine （TCM） syndromes are relatively few. Therefore， one of the future directions for research is to establish IBS-D animal models that meet the combined clinical disease and syndrome requirements of both Western and Chinese medicine.

Objective : To investigate the fertility level of registered population in Baoshan District, Shanghai Municipality and the incidence of adverse birth outcomes of live births from 2013 to 2022, so as to provide the evidence for improving maternal and child health care strategies. Methods: The data pertaining to live births registered in Baoshan District from 2013 to 2022 were collected through the Shanghai Birth Medical Information System, including the basic information of live births and maternal fertility. The indicators such as fertility level, parity, birth age and incidence of adverse birth outcomes of live births were descriptively analyzed. The trend of crude birth rate and total fertility rate was analyzed by annual percent change (APC). Results: A total of 56 719 live births were registered in Baoshan District from 2013 to 2022. The crude birth rate was 6.54‰, the total fertility rate was 31.78‰, and the sex ratio at birth was 105.61. The crude birth rate showed a downward trend from 2016 to 2022 (APC=-11.054%, P<0.05), and the total fertility rate showed a downward trend from 2017 to 2022 (APC=-10.377%, P<0.05). The proportion of second parity and above showed an increasing trend from 2013 to 2017 (P<0.05) and a decreasing trend from 2017 to 2022 (P<0.05). The maternal childbearing age showed an increasing trend from 2013 to 2022 (P<0.05), the incidence of premature infants and low birth weight infants showed an increasing trend (both P<0.05). The incidence of premature infants and low birth weight infants increased with the rising childbearing age (both P<0.05). Conclusions The fertility level in Baoshan District was relatively low from 2013 to 2022. The proportion of second parity and above showed an upward trend followed by a downward trend. The incidence of premature infants and low birth weight infants increased with the rising childbearing age.

Cocaine,as a widely abused and highly addictive drug,has a serious impact on the physical and mental health of individuals and carries a certain degree of social harm and economic burden.Acupuncture can assist in the treatment of cocaine addiction with fewer side effects.However,a well-defined mode of stimulation is an important factor in elucidating the various mechanisms by which acupuncture treats disease.This paper summarizes the problems in the mechanism of cocaine addiction,such as different parameters of stimulation,unstable depth of acupuncture,different acupoint selection,and different lengths of acupuncture time.To standardize the intervention measures of acupuncture experiments,it is suggested that in future research,the stimulation method should explore the best parameters,the selection of acupoints should be based on clinical practice,the timing of acupuncture should be objective,and the treatment course should consider the effects of acupuncture.

Objective:To explore the impact of applying micro-video tracing training model to emerging infectious diseases (EIDs) knowledge training on the autonomous learning ability and learning outcomes among emergency department nurses.Methods:In this study, the training content was developed from the perspective of the historical development of EIDs. The training program was constructed in the form of a micro-video classification module and periodic WeChat group push-based autonomous learning. Convenience sampling was used to select 85 emergency nurses ( n=85) from a grade A tertiary general hospital in Shanghai for micro-video tracing training. The nurses were provided with EIDs knowledge training using a module consisting of 11 episodes, each of which included 5 sessions, i.e., enlightening thinking, micro-video learning, key point consolidation, key point analysis, and extension and expansion. After the intervention, the nurses were compared for their autonomous learning ability and their knowledge, belief, and action levels of EIDs, and their degree of satisfaction with the training model was evaluated. SPSS 20.0 and GraphPad Prism 9.3.0 were used for non-parametric Wilcoxon paired tests of quartiles ( Q25, M, and Q75). Results:After the training, the emergency department nurses had significantly higher scores in overall autonomous learning ability ( Z=-4.69, P<0.001) and in each dimension: concept of self-motivation ( Z=-4.48, P<0.001), task analysis ( Z=-4.06, P<0.001), self-monitoring and regulation ( Z=-4.50, P<0.001), and self-evaluation ( Z=-4.82, P<0.001); they had significantly higher scores in overall knowledge, belief, and action levels of EIDs ( Z=-4.65, P<0.001) and in each dimension: knowledge ( Z=-4.04, P<0.001), belief ( Z=-3.24, P=0.001), and action ( Z=-4.05, P<0.001). Emergency department nurses had a high degree of satisfaction with the training model (degree of satisfaction for each item >90%). Conclusions:The micro-video tracing training model can effectively improve the autonomous learning ability of emergency department nurses and their knowledge, belief, and action levels of EIDs, with a high degree of satisfaction among the nurses, making it promising for wide use.

Objective:To explore the relationship between normal serum creatinine(Scr) level and diabetic kidney disease(DKD) in patients with type 2 diabetes mellitus(T2DM).Methods:This was a prospective cohort study. Patients with yet not DKD who were regularly followed up at six centers of Li′s United Clinic in Taiwan, China from January 1, 2002 to December 31, 2018 were selected. At baseline, clinic information and lab tests were collected. According to whether the patients developed DKD during the follow-up period, they were divided into DKD group and non-DKD(NDKD) group. The exposure factor was the Scr(μmol/L) value, and it was used as a categorical variable. According to the quartiles of Scr, they were divided into 4 groups: Q1 group(Scr<57.68 μmol/L), Q2 group(57.68 μmol/L≤Scr<68.51 μmol/L), Q3 group(68.51 μmol/L≤Scr<80.44 μmol/L) and Q4 group(Scr≥80.44 μmol/L). The Cox regression model was used to explore the relationship between Scr level and the incidence of DKD. Receiver operating characteristic(ROC) curve was used to analyze the predictive effect of normal level Scr on DKD. Results:A total of 2 202 T2DM patients without DKD at baseline were included. After a follow-up period of(5.2±2.17) years, there were 966 patients in the DKD group and 1 236 patients in the NDKD group. Compared with the NDKD group, the DKD group had older age, longer duration of diabetes, higher BMI, SBP, DBP, LDL-C, Scr, and UACR(all P<0.05). Cox regression analysis results showed that compared with the Q1 group as the reference, the risk of developing DKD in the Q2, Q3, and Q4 groups after adjusting for confounding factors was 1.394, 1.688, and 2.821 times higher, respectively(all P<0.05). ROC curve analysis results showed that the area under the curve(AUC) for predicting DKD occurrence using normal serum creatinine level was 0.70(95% CI 0.678-0.722), with an optimal cutoff value of 74.27 μmol/L, sensitivity of 0.54, and specificity of 0.76. The cumulative risk plot showed that after adjusting for confounding factors, patients in the Q4 group had a higher cumulative risk of developing DKD compared to the Q1, Q2, and Q3 groups(all P<0.05). Conclusion:Scr is an independent risk factor for developing DKD in patients with T2DM. The higher the Scr level, the greater the risk, especially when Scr is greater than 74.27 μmol/L.

Objective:To evaluate the relationship between hemoglobin(Hb) level and the risk of diabetic retinopathy(DR) in patients with type 2 diabetes mellitus(T2DM).Methods:This study was a prospective cohort study. A total of 1 730 T2DM patients without DR, who received regular management at the Li′s Clinic in Taiwan, China starting from 2002, were selected as the study population. All patients underwent annual dilated fundus examination by professional ophthalmologists. General patient information and laboratory results were collected and analyzed. Based on the occurrence of DR during patient follow-up, patients were divided into the DR group and the non-DR(NDR) group. The impact of Hb levels on DR was explored using a generalized linear mixed model, and the relationship between Hb levels and DR was studied using Cox proportional hazards regression model.Results:After an average follow-up of 9.79 years, 481 patients with DR were detected. Compared with NDR group, DR group displayed a longer course of diabetes, higher rates of cataract, insulin use, and anemia, and higher systolic blood pressure, HbA 1C, and UACR as well as lower Hb. The results of the generalized linear mixed model showed a negative correlation between Hb and the occurrence of DR( β=-0.015, P<0.001). The Cox proportional hazards regression model showed that, after adjusting for confounding variables and based on quartiles of average Hb levels during follow-up, the risk of developing DR increased by 56.9% in the Q1 group(Hb≤127 g/L) compared to the Q4 group(Hb≥142 g/L). The cumulative risk plot showed that, after adjusting for confounding variables, the Q1 group had the highest cumulative risk of developing DR, and the difference was statistically significant( P<0.05). Conclusion:Hb was negatively correlated with DR, and the lower Hb levels were associated with the occurrence of DR, independent of other influencing factors.

ObjectiveTo investigate the mortality and years of life lost of pancreatic cancer in Baoshan District of Shanghai，from 2009 to 2021， and to provide scientific evidence for the prevention and control of pancreatic cancer in the future. MethodsThe death surveillance data of Baoshan District from 2009 to 2021 were collected from the Shanghai chronic disease surveillance information management system. Crude mortality， standardized mortality，potential years of life lost （PYLL）， potential years of life lost rate （PYLLR） ， average years of potential life lost （AYLL） ， annual percentage change （APC） were calculated to analyze the trend of mortality and life loss of pancreatic cancer. ResultsFrom 2009 to 2021， a total of 2117 deaths of pancreatic cancer were reported in Baoshan District， accounting for 7.05% of all cancer deaths. The average age of the death cases was （71.18±10.97）years. The youngest was 3 years old and the oldest was 96 years old. The death component ratio of pancreatic cancer increased with time （P<0.05）， and the average death age of women was higher than that of men （P<0.05）. The crude mortality of pancreatic cancer was 17.38/10⁵ in Baoshan District from 2009 to 2021， showing a rising tendency （P<0.05） with APC of 3.74%. The standardized mortality of pancreatic cancer was 7.84/10⁵. The crude mortality of pancreatic cancer was 19.71/10⁵ in men and 14.89/10⁵ in women， both showed a tendency towards a rise （P<0.05 ） with APC of 4.44% and 2. 89%， respectively. The crude mortality of pancreatic cancer showed a tendency towards a decline in residents at ages of 45 to 60 years （ P<0.05 ）， with APC of 4.74%. The PYLL and PYLLR of pancreatic cancer were 8 115 person-years and 0.67‰ in Baoshan District from 2009 to 2021， while the AYLL of pancreatic cancer was 3.83 years per person. The PYLL was higher in men than in women. ConclusionThe mortality rate of pancreatic cancer in Baoshan District shows an increasing trend. The healthy life of elderly and men is affected largely by pancreatic cancer. It is necessary to strengthen the health education on the prevention/control of pancreatic cancer and healthy life style， thereby improving the tertiary prevention system of pancreatic cancer.

Abstract：Objective To evaluate the basic development status of public health emergencies of infectious diseases in Hainan Province from 2013 to 2022, analyze the distribution and characteristics of these emergencies, as to provide important scientific basis for the study and formulation of economic health development planning policies, for the health security policies and infectious disease prevention and control strategies in Hainan Province. Methods The relevant statistical data of public health emergencies involving infectious diseases reported in Hainan Province from 2013 to 2022 were collected, and the status quo of these emergencies was analyzed by using descriptive data statistical analysis method. The ARIMA model was used to predict the number of public health emergencies reported by infectious diseases in Hainan Province from 2023 to 2025. Results From 2013 to 2022, a total of 482 public health emergencies were reported in Hainan Province, of which 426 were infectious disease public health emergencies, accounting for 88.38%, with a total of 8 876 cases, an incidence rate of 0.61%, and eight deaths, a case fatality rate of 0.09%. The major public health emergencies of infectious diseases were unclassified events and general events, accounting for 69.25% and 29.58%, respectively. The main diseases were novel coronavirus infection, chickenpox and hand, foot and mouth disease, accounting for 45.07%, 15.49% and 11.97%, respectively; in terms of time distribution, the number of reported incidents showed an upward trend over time, with a decline in 2021, and mainly had three peak periods, April, August and December, with a total of 220 cases reported; in terms of regional distribution, the major cities and counties reported were Haikou, Wanning and Wenchang, accounting for 27.46%, 19.25% and 9.86%, respectively; in terms of location distribution, the events mainly occurred in schools, accounting for 42.02% of the total number of incidents. The ARIMA(1, 1, 0) model was used to predict infectious disease public health emergencies, and the results showed that the forecast state would be stable from 2023 to 2025, with no obvious upward trend, that is, the fluctuation range of public health emergencies related to infectious diseases in Hainan Province would be stable in the next three years. Conclusion The number of infectious disease public health emergencies reported in Hainan Province from 2013 to 2022 has increased year by year, with a decline in 2021. Although the forecast shows that public health emergencies such as infectious diseases are relatively stable with no obvious upward trend, the prevention and control of the epidemic should not be taken lightly. Hainan Province should continue to increase the investment in monitoring public health emergencies, improve the information system of public disease prevention and control, and carry out real-time monitoring of public health emergencies of infectious diseases.

Objective:To investigate the relationship between serum glial cell line-derived neurotrophic factor (GDNF) levels and neuroimaging changes and cognitive impairment in patients with cerebral small vascular disease (CSVD).Methods:135 patients with CSVD recruited from the Department of Neurology of the First Affiliated Hospital of Xinxiang Medical University from September 2021 to July 2022 were assessed by cranial multimodal magnetic resonance imaging and Montreal cognitive function assessment (MoCA), and the basic data were analyzed at the same time.The serum GDNF concentration of all patients was detected by enzyme-linked immunosorbent assay (ELISA). According to the median GDNF concentration, the patients were divided into low GDNF group and high GDNF group. The baseline data, MoCA score and imaging markers of the two groups were compared by Mann-Whitney U test, chi-square test, logistic regression, Kruskal-Wallis H test and Jonckheere-Terpstra trend test, and the correlation between serum GDNF level and imaging markers and cognitive function of patients with CSVD was analyzed. Results:The median serum GDNF concentration of all CSVD patients was 16.66 pg/mL. Multivariate logistic regression analysis showed that low serum GDNF level was a risk factor for white matter hyperintensity and total image load in patients with CSVD. Serum GDNF level was a protective factor of cognitive impairment in patients with CSVD in multiple logistic regression analysis. The area under the curve of ROC curve analysis of cognitive impairment after CSVD predicted by serum GDNF level was 0.735, the sensitivity was 66.4%, and the specificity was 71.4%. The level of serum GDNF was positively related with visual space and executive function, attention and computational power, delayed recall and orientation( r=0.267, 0.187, 0.219, 0.215, all P<0.05). Conclusion:The serum GDNF level is related to white matter hyperintensities, total imaging load and cognitive impairment in patients with CSVD. Serum GDNF level may play a predictive role in CSVD and cognitive impairment.

Objective:To investigate the relationship between serum vascular endothelial growth factor (VEGF) levels and white matter high signal and non-dementia vascular cognitive dysfunction in patients with cerebral small vascular disease (CSVD).Methods:Total 106 patients with CSVD who were admitted to the Department of Neurology of the First Affiliated Hospital of Xinxiang Medical College from April 2019 to December 2020 were enrolled.They were divided into vascular cognitive impairment no dementia group (VCIND group, n=47) and no vascular cognitive impairment group (N-VCI group, n=59)according to mini-mental assessment scale (MMSE), Montreal cognitive assessment (MoCA) scale and activity of daily living scale (ADL). Serum VEGF levels were detected by enzyme-linked immunosorbent assay (ELISA). The baseline data, serum VEGF levels, MoCA score and Fazekas score were compared between the two groups.The correlation between serum VEGF level and white matter high signal and cognitive function was analyzed.SPSS 19.0 software was used for data processing.The statistical methods were t-test, Chi square test, nonparametric test, Logistic regression analysis, Pearson correlation analysis and Spearman correlation analysis. Results:There were significant differences in serum VEGF level((464.18±114.58)pg/mL, (414.17±45.80)pg/mL, F=22.880), MoCA score((13.07±6.48), (20.17±4.06), F=17.920) and Fazekas score (4(3, 5), 3(1, 3), Z=-4.189)between the two groups (all P<0.05). The level of VEGF( β=0.008, OR=1.008, 95% CI=1.001-1.015, P<0.05) was the influencing factor of cognitive function in patients with CSVD .The level of VEGF was negatively correlated with the total score of MoCA, attention and calculation power, and orientation ability ( r=-0.345, -0.373, -0.445, all P<0.05) and it was positively correlated with the total Fazekas score and the Fazekas score of paraventricular and deep white matter ( r=0.392, 0.495, 0.302, all P<0.05). There was a linear trend between the high signal grade of paraventricular and deep white matter and VCIND (both P<0.05). Conclusion:Serum VEGF level is correlated with cognitive function and white matter hyperintensity in patients with CSVD.The increase of VEGF level may be a factor reflecting cognitive dysfunction.In addition, with the increase of white matter hyperintensity level, the risk of VCIND in CSVD is increased.