ObjectiveTo investigate the prevalence of stroke in Songjiang District from 2017 to 2022, to analyze the epidemiological characteristics of stroke incidence, so as to provide a scientific basis for the formulation of stroke prevention and control policies. MethodsData of new stroke incidence from 2017 to 2022 in Songjiang District were obtained from the Shanghai Stroke and Acute Myocardial Infarction Registration and Reporting Information System. In addition, different classifications such as time of onset, gender, age group and types of stroke, were statistically analyzed. Statistical indicators, such as the number of incidence, crude incidence rate, standardized incidence rate and average age of incidence were calculated simultaneously. Joinpoint software were used to calculate the annual change percentage (APC) and the trend of stroke incidence in Songjiang District. ResultsFrom 2017 to 2022, the newly reported cases of stroke were 12 988 in Songjiang District, the crude incidence rate was 325.76/10⁵, and the standardized incidence rate was 127.58/10⁵. The crude incidence rate and standardized incidence rate in males were 363.45/10⁵ and 157.17/10⁵, respectively, but 288.68/10⁵ and 99.02/10⁵ in females. The mean age of onset was (73.12±11.75) years, of which the mean age of onset was (70.86±11.96) years for men and (75.91±10.85) years for women. The incidence of stroke increased with age, rising rapidly after 60 years and reaching a peak in the age group of ≥ 80 years old. The crude incidence rate and standardized incidence rate of stroke in Songjiang District showed a downward trend from 2017 to 2022, with an APC of -6.20% and -8.01%, respectively (P=0.018, 0.007). The newly reported stroke was dominated by ischemic stroke, accounting for 82.81% of the total cases, with a crude incidence rate of 269.77/10⁵ and a standardized rate of 103.84/10⁵. The incidence of stroke presented seasonal characteristics, with the highest incidence in winter, accounting for 26.11% of the whole year. ConclusionThe incidence rate of stroke in Songjiang District shows a declined trend, but the overall incidence is still at a high level. The situation of prevention and control is still serious, with a heavy disease burden. It is necessary to strengthen health education and disease management for the elderly.

Objective To explore the effects of L-carnitine combined with citicoline on the therapeutic effect of neonatal hypoxic-ischemic encephalopathy(NHIE)and serum nitric oxide(NO)and endothelin-1(ET-1).Methods A total of 95 children with HIE admitted to the hospital from April 2020 to January 2023 were selected and were divided into observation group(47 cases)and control group(48 cases)by random number table method.The control group was given citicoline,and the observation group was given citicoline combined with L-carnitine.The therapeutic effect was evaluated on 14 days after treatment,and the recovery time of original reflex,muscle tone and consciousness was calculated.The levels of oxidative stress indexes[malondialdehyde(MDA),superoxide dismutase(SOD)]and vascular endothelial function indexes(NO,ET-1)were detected before treatment and 14 days after treatment.Neonatal neurobehavioral score(NBNA)was used to evaluate the neurological function of the children,and the safety of the treatment regimen was ob-served.Pearson correlation analysis was used to analyze the correlation between NBNA and vascular endothe-lial function indexes.Results The total effective rate in the observation group was 91.49％,which was higher than 72.92％in the control group(P＜0.05).The original reflex recovery time,muscle tone recovery time and consciousness recovery time of NHIE children in the observation group were shorter than those in the control group(P＜0.05).There was no significant difference in NBNA scores between the two groups before treatment(t=1.225,P=0.224).After treatment,the NBNA score in the observation group was higher than that in the control group(t=6.223,P＜0.001).After treatment,MDA level decreased and SOD level in-creased in two groups(P＜0.05).After treatment,the level of MDA in the observation group was lower than that in the control group,while the level of SOD was higher than that in the control group(P＜0.05).After treatment,the levels of NO and ET-1 were decreased in both groups(P＜0.05).The levels of NO and ET-1 in the observation group were lower than those in the control group after treatment(P＜0.05).The adverse drug reaction rates in observation group and control group were 17.02％and 8.33％,respectively,and there was no significant difference between two groups(P＞0.05).Pearson correlation analysis showed that serum NO,ET-1 and NBNA score in NHIE children were negatively correlated(r=-0.546,-0.608,P＜0.05).Conclusion L-carnitine combined with citicoline could improve the therapeutic effect of NHIE,shorten the re-covery time of clinical manifestations,and improve nerve function,oxidative stress and vascular endothelial function without increasing drugs and adverse reactions.In addition,vascular endothelial function indexes are negatively correlated with NBNA score,which could be used as auxiliary reference indexes for judging NHIE.

ObjectiveTo investigate the high-risk detection rate and aggregation of cardiovascular diseases（CVD） in 8 districts of Shanghai and influencing factors， and to provide scientific references for prevention and control of CVD. MethodsBased on the Cardiovascular Disease Screening and Management Program in Shanghai from 2016 to 2021， 104 685 participants aged 35 to 75 in 8 districts of Shanghai were selected for analysis. χ² test and multivariate logistic regression were used for statistical analysis of the influencing factors of CVD and aggregation of CVD. ResultsThe proportion of high-risk CVD individuals in the population was 19.17%， including the high-risk individuals with hypertension （8.65%）， dyslipidemia （6.33%）， CVD history （5.58%）， and WHO assessed risk ≥20% types （2.69%）， respectively. Old age， overweight and obesity， central obesity， smoking， drinking， farmers， unmarried， and low family income were the risk factors of CVD， while high education level was the protective factor. In the participants， 16 323 people （81.34%） were classified as CVD high-risk groups； The number of aggregation of 1， 2 and ≥3 high risk types of CVD were 16 323（81.34%）， 3 236（16.13%）， 509（2.54%）， respectively. Old age， low education level， low annual family income， farmers， unmarried， smoking， drinking， overweight， obesity and central obesity were associated with the risk of aggregation of high risk types of CVD， and the correlation strength increased with the increase of aggregation types. ConclusionThe prevention and control of CVD in Shanghai should focus on the hypertension， elderly， overweight， obesity， central obesity， smoking， drinking， low educated， low family income， farmers and unmarried people， and targeted intervention measures should be taken to reduce the risk of CVD among residents.

【Objective】 To investigate the relationship between serum reproductive hormones and sperm parameters and outcomes of micro-testicular sperm extraction (Micro-TESE). 【Methods】 Clinical data of 1 091 patients treated in our hospital during Jan. and Dec.2021 were retrospectively analyzed. According to the sperm concentration,the patients were divided into non-obstructive azoospermia (NOA) group (group A,n=418),normal sperm concentration group (group B,n=615),mild to moderate oligospermia group (group C,n=18),severe oligospermia group (group D,n=18),and obstructive azoospermia group (group E,n=22). In group A,244 cases treated with Micro-TESE were grouped into the sperm-acquired group (Micro-TESE positive group,n=82) and non-sperm-acquired group (Micro-TESE negative group,n=162),and according to the pathological types of testicular tissue,the patients were divided into normal testicular tissue with hypospermatogenesis group (HYPO group,n=129),maturation arrest group (MA group,n=10),and support-only cell syndrome group (SCO group,n=122). Differences in semen parameters and reproductive hormone levels were compared,and relationship between reproductive hormones and sperm parameters and Micro-TESE outcomes was determined with Pearson correlation analysis. 【Results】 In the sperm concentration subgroup,the testicular volume of group A was lower than that of group B and group E (P<0.05); the levels of follicle stimulating hormone (FSH) and luteinizing hormone (LH) in group A were the highest (P<0.05),but the level of testosterone (T) was the lowest (P<0.05); the levels of anti-mullerian hormone (AMH) and serum inhibin B (INHB) in group A were lower than those in group B and group E (P<0.05),the normal sperm morphology rate in group B was higher than that in group A and group E (P<0.05); the percentage of forward moving sperm in group B was the highest (P<0.05). Pearson correlation analysis revealed that sperm concentration,normal sperm morphology rate,and percentage of forward moving sperm were negatively correlated with age,FSH,LH (P<0.05),and positively correlated with testicular volume,T,AMH,and INHB (P<0.05). NOA patients were grouped according to testicular histology and pathology. The INHB in the SCO group was the smallest of the three groups (P<0.05); the FSH and LH levels in the SCO group were higher than those in the MA group (P<0.05),while the 17β-estradiol (E2) levels in the HYPO group were higher than those in the SCO group (P<0.05). NOA patients were grouped according to the results of Micro-TESE surgical treatment. There was a statistically significant difference in AMH and INHB levels between the Micro-TESE positive and negative groups (P<0.05). The binary logistic regression analysis of factors affecting the Micro-TESE outcomes of NOA patients showed AMH was negatively correlated with the Micro-TESE outcome (OR=0.904,95%CI:0.91-1.08,P<0.05). 【Conclusion】 Age,FSH,LH,AMH,and INHB are correlated with sperm concentration,normal sperm morphology rate,and percentage of forward moving sperm. The INHB level was the lowest in the SCO group. The results of Micro-TESE in patients with NOA can be predicted by serum AMH level.

Objective: To investigate the relationship between axial length (AL)elongation and the progression of spherical equivalent refraction (SER) and its influential factors in school-aged children with myopia based on machine learning (ML). Methods: A cross-sectional study evaluated 1 011 eyes of school-aged myopic children admitted to the optometry center of Peking University People's Hospital from January 2017 to December 2018, and data from the right eyes were used for analysis.All the collected data were used to train ML algorithms.When building predictive models, the input features included age, gender, central corneal thickness (CCT), mean K readings (K-mean), horizontal visible iris diameter (HIVD), lens power, and axial length (AL), and the output parameter was SER.A five-fold cross validation scheme randomly divided all the data into five groups, of which four were used as training data, and one group was used as validation data.This process was repeated five times so that all the data were validated by this model, which allowed a better prediction of the overall sample.The prediction accuracy of different models was evaluated by the R-value and R².The best-performing algorithm was applied to investigate the relationship between AL elongation and the progression of SER and its influencing factors.Written informed consent was obtained from each guardian of each patient prior to entering the study cohort.This study followed the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of Peking University People's Hospital (No.2019PHB280-01). Results: In the comparison of the R-value and R² of six ML algorithms based on five-fold cross validation, among all models, the best was the quadratic SVM regression model, with an R-value and R² of 0.99 and 0.98, respectively.The results of Pearson correlation analysis showed that lens power was negatively correlated with age (r=-0.301, P<0.01). According to the results calculated by the Bennett-Rabbetts formula, the average lens power of the 6-year-old myopic group was higher than that of the 18-year-old myopic group.According to this model, the SER change caused by AL elongation was not a constant value, which was estimated from plano to nearly -3.00 D, depending mainly on the time needed for 1-mm AL elongation.According to the results calculated by this model, the longer it took for the AL to grow by 1 mm, the smaller the corresponding SER change.In myopic children over an age span of one year, for example, from 6-7 years or 12-13 years, 1-mm elongation of the AL corresponded to -2.50 D and -2.33 D of SER change, respectively.Over a three years span, for example, from 6-9 years, a 1-mm elongation of the AL corresponded to -1.77 D of SER change. Conclusions For myopic children, the longer the age span required for 1-mm elongation of the AL, the smaller the SER change.An ML algorithm can provide clinical practitioners with a relatively precise estimation for the relationship between AL elongation and myopia progression.

Medical big data is a hot research topic in China,and it is also the main research direction in the field of emergency medicine.The current situation of the construction of the first-aid big data platform and the construction of the first-aid clinical decision support system were analyzed,the problems existing in the development of the first-aid big data research field were enumerated,to explore the theoretical methods for promoting the development of domestic first-aid big data,so as to provide references for the research in related fields.

On?the?premise?of?fully?studying?the?disaster?medical?rescue?monitoring?mechanism?in?emergencies?at?home?and?abroad,?the?functional?requirements?of?the?domestic?disaster?medical?rescue?monitoring?system?was?analyzed?in?this?paper,?the?logical?framework?and?data?structure?of?disaster?medical?rescue?monitoring?system?with?privacy?protection?mechanism?was?designed?by?department?of?emergency?in?Chinese?PLA?General?Hospital,?department?of?information?management?in?School?of?Economics?and?Management?of?Beijing?Jiaotong?University,?the?School?of?Information?Management?of?Nanjing?University.?Three?major?functional?modules?were?realized?in?the?system:?reporter?information?management,?disaster?medical?rescue?data?upload,?and?disaster?medical?rescue?data?search.?Android?client?and?Web?client?were?developed?for?easy?access?to?the?system.?The?system?also?had?the?function?of?privacy?protection.?Based?on?symmetric?searchable?encryption?algorithm,?the?system?realized?the?encryption?storage?of?untrusted?servers?and?ensured?the?security?of?medical?and?health?data.?It?is?beneficial?for?the?further?development?and?improvement?of?disaster?medical?rescue?data?collection?in?China.

The analysis of big data in medical field cannot be isolated from the high quality clinical database, and the construction of first aid database in our country is still in the early stage of exploration. This paper introduces the idea and key technology of the construction of multi-parameter first aid database. By combining emergency business flow with information flow, an emergency data integration model was designed with reference to the architecture of the Medical Information Mart for Intensive Care III (MIMIC-III), created by Computational Physiology Laboratory of Massachusetts Institute of Technology (MIT), and a high-quality first-aid database was built. The database currently covers 22 941 medical records for 19 814 different patients from May 2015 to October 2017, including relatively complete information on physiology, biochemistry, treatment, examination, nursing, etc. And based on the database, the first First-Aid Big Data Datathon event, which 13 teams from all over the country participated in, was launched. The First-Aid database provides a reference for the construction and application of clinical database in China. And it could provide powerful data support for scientific research, clinical decision making and the improvement of medical quality, which will further promote secondary analysis of clinical data in our country.
Big Data ; Critical Care ; Databases, Factual ; Humans ; Medical Informatics

OBJECTIVE: To propose a method of prediction for fatal gastrointestinal bleeding recurrence in hospital and a method of feature selection via machine learning models. METHODS: 728 digestive tract hemorrhage samples were extracted from the first aid database of PLA General Hospital, and 343 patients among them were diagnosed as fatal gastrointestinal bleeding recurrence in hospital. A total of 64 physiological or laboratory indicators were extracted and screened. Based on the ten-fold cross-validation, Logistic regression, AdaBoost and XGBoost were used for classification prediction and comparison. XGBoost was used to search sequence features, and the key indicators for predicting fatal gastrointestinal bleeding recurrence in hospital were screened out according to the importance of the indicators during training. RESULTS: Logistic regression, AdaBoost and XGBoost all get better F1.5 score under each feature input dimension, among which XGBoost had the best effect and the highest score, which was able to identify as many patients as possible who might have fatal gastrointestinal bleeding recurrence in hospital. Through XGBoost iteration results, the Top 30 indicators with high importance for predicting fatal gastrointestinal bleeding recurrence in hospital were ranked. The F1.5 scores of the first 12 key indicators peaked at iteration (0.893), including hemoglobin (Hb), calcium (CA), red blood cell count (RBC), mean platelet volume (MPV), mean erythrocyte hemoglobin concentration (MCH), systolic blood pressure (SBP), platelet count (PLT), magnesium (MG), lymphocyte (LYM), glucose (GLU, blood gas analysis), glucose (GLU, blood biochemistry) and diastolic blood pressure (DBP). CONCLUSIONS Logistic regression, AdaBoost and XGBoost could achieve the purpose of early warning for predicting fatal gastrointestinal bleeding recurrence in hospital, and XGBoost is the most suitable. The 12 most important indicators were screened out by sequential forward selection.
Gastrointestinal Hemorrhage/mortality* ; Health Status Indicators ; Hospital Mortality ; Humans ; Logistic Models ; Machine Learning ; Recurrence

Objective The detailed analysis of the surveillance in post extreme emergencies and disasters (SPEED) provides practical reference for China to establish a disaster medical rescue information monitoring system with Chinese characteristics. Methods The SPEED system under the scene of disaster medical rescue information monitoring is analyzed in detail. The SPEED system design, work flows, system implementation and other aspects are analyzed and summarized in this paper, and suggests the enlightenment of SPEED system for Chinese disaster medical rescue information monitoring work. Results The SPEED system is an information monitoring system for the early stages of disasters. It provides monitoring for diseases caused by disasters, and life and health trends. It has a complete data collection mechanism, a comprehensive personnel training system, a complete system function, and an implementation strategy involving multi-layer, multi-region, and multi -sector. It is a powerful tool for disaster medical rescue and management personnel to obtain information in time. In the field of disaster medical rescue, a similar public-facing information monitoring system in China is still not perfect. Conclusion Learning the design flows and establishment mode of the SPEED system can provide reference for China to establish a disaster medical rescue information monitoring system with Chinese characteristics.