Objective To establish a prediction model for the occurrence of non-occupational carbon monoxide poisoning events in Beijing, and to provide scientific basis and theoretical support for the prevention and warning of poisoning events. Methods Based on the monitoring data of non-occupational carbon monoxide poisoning events in Beijing from 2016 to 2024, the seasonal ARIMA model and seasonal index model were established to analyze the data and predict the occurrence of events. Results Between 2016 and 2024, a total of 436 cases of non-occupational carbon monoxide poisoning were reported in Beijing, showing a downward trend. The established SARIMA model and seasonal index model were SARIMA (1,0,0) (1,1,0) 12, Yt = (-0.0339t+5.8863) × St, and the average relative errors were 65.42% and 29.19%, respectively. In terms of months, the SARIMA model had better predictive performance during April and summer (June to August), while the seasonal index model was superior in other months. By combining the two models, the predicted number of events in 2025 was as follows: 3, 2, 2, 3, 1, 5, 2, 7, 1, 1, 1, and 2. Conclusion The seasonal index model has the best prediction effect on the non-occupational carbon monoxide poisoning events in Beijing throughout the year, and the number of summer events predicted by SARIMA model is closer to the actual values. The two models can be combined to predict the trend of non-occupational carbon monoxide poisoning, which provides a scientific basis for the prevention and control of carbon monoxide poisoning in the future.

Identifying the compound formulae-related xenobiotics in bio-samples is full of challenges.Conventional strategies always exhibit the insufficiencies in overall coverage,analytical efficiency,and degree of automation,and the results highly rely on the personal knowledge and experience.The goal of this work was to establish a software-aided approach,by integrating ultra-high performance liquid chromatography/ion-mobility quadrupole time-of-flight mass spectrometry(UHPLC/IM-QTOF-MS)and in-house high-definition MS2 library,to enhance the identification of prototypes and metabolites of the compound formulae in vivo,taking Sishen formula(SSF)as a template.Seven different MS2 acquisition methods were compared,which demonstrated the potency of a hybrid scan approach(namely high-definition data-independent/data-dependent acquisition(HDDIDDA))in the identification precision,MS1 coverage,and MS2 spectra quality.The HDDIDDA data for 55 reference compounds,four component drugs,and SSF,together with the rat bio-samples(e.g.,plasma,urine,feces,liver,and kidney),were acquired.Based on the UNIFI? platform(Waters),the efficient data processing workflows were estab-lished by combining mass defect filtering(MDF)-induced classification,diagnostic product ions(DPIs),and neutral loss filtering(NLF)-dominated structural confirmation.The high-definition MS2 spectral li-braries,dubbed in vitro-SSF and in vivo-SSF,were elaborated,enabling the efficient and automatic identification of SSF-associated xenobiotics in diverse rat bio-samples.Consequently,118 prototypes and 206 metabolites of SSF were identified,with the identification rate reaching 80.51％and 79.61％,respectively.The metabolic pathways mainly involved the oxidation,reduction,hydrolysis,sulfation,methylation,demethylation,acetylation,glucuronidation,and the combined reactions.Conclusively,the proposed strategy can drive the identification of compound formulae-related xenobiotics in vivo in an intelligent manner.

To analyze the trends in disease burden and risk factors of depression among the elderly population in China from 1990 to 2021, and to provide a theoretical basis for the prevention, treatment, and policy-making of geriatric depression in China.

Objective:To understand the potential categories of self-efficacy in stress injury management of nurses in operating room and analyze the characteristics of different categories of nurses.Methods:A cross-sectional survey was conducted from June to August 2022. A total of 469 operating room nurses from 12 Grade A hospitals in Guangxi, Sichuan, Guizhou, Yunnan, Shanxi, Xinjiang and Chongqing were selected by convenient sampling method as subjects. General data questionnaire, proactive personality Inventory, Caring behavior Inventory, transformational leadership inventory, nursing clinical Decision scale and nurses stress injury management self-efficacy scale were used to investigate. Potential profile was used to analyze nurses' self-efficacy in stress injury management, and multiple Logistic regression was used to analyze different potential factors.Results:The self-efficacy of nurses in the management of stress injury in operating room could be divided into three potential profiles: poor self-efficacy group (23.9%, 112/469), medium self-efficacy group (33.0%, 155/469) and good self-efficacy group (43.1%, 202/469). Proactive personality, caring behavior, transformational leadership, nursing clinical decision-making and educational background were the factors influencing self-efficacy of operating room nurses in stress injury management (all P<0.05). Conclusions:There are three potential profiles of self-efficacy in the management of stress injury in operating room nurses. Nursing managers can give targeted intervention strategies according to different characteristics of nurses to improve their self-efficacy.

Objective:To develop dynamic management strategies for intraoperative acquired pressure injuries (IAPI) in neurosurgery patients and evaluate their implementation effects, so as to provide constructive suggestions for the management of IAPI.Methods:This study was conducted by a non-synchronous before and after control study. From January 2021 to December 2022, 220 patients undergoing neurosurgery in the Second Affiliated Hospital of Guilin Medical College were conveniently selected as the study objects, and divided into the control group and the observation group with 110 patients in each group according to the time of operation. The control group was given routine nursing measures to prevent IAPI, and the observation group was given dynamic management program based on timing theory on bisis of routine nursing. The score of preoperative stress injury,incidence of IAPI and the self-efficacy scores of nurses in the management of stress injury in operating room were compared between the two groups.Results:Before intervention, the scores of preoperative stress injury in control group and observation group were (14.69 ± 2.93) points and (14.78 ± 2.89) points, respectively, with no statistical significance ( t=-0.23, P>0.05).After the intervention, the incidence of IAPI was 3.64%(4/110) in the control group and 0 in the observation group, and the difference was statistically significant ( χ2=4.07, P<0.05). The self-efficacy scores of nurses in the management of stress injury before and after intervention were (29.13 ± 4.87) and (36.41 ± 5.83), respectively, and the difference was statistically significant ( t=-6.21, P<0.05). Conclusions:The implementation of dynamic management strategy of IAPI can effectively reduce the incidence of IAPI in neurosurgery patients and improve the self-efficacy of nurses in operating room.

The contents of general practice discipline construction comprise of orientation, team development, personnel training, scientific research, teaching base establishment and management of the discipline, etc. At present, the weakness in above aspects of general practice discipline construction is still the major challenges in most of the primary healthcare institutions. Our experiences in last 10 years shows that the application of Leicester Assessment Package can effectively promote the general practice discipline development for primary care institutions.

OBJECTIVE To explore the effects of intensive pharmaceutical intervention led by clinical pharmacists on hypertension patients with medium and high risk of ischemic stroke. METHODS The hypertension outpatients with medium and high risk of ischemic stroke， who were assessed by the modified Framingham stroke scale in Zhengzhou People’s Hospital from Oct. 2019 to Apr. 2020， were randomly divided into control group and intervention group， with 200 cases in each group. Patients in the control group received conventional treatment without pharmaceutical intervention； on the basis of conventional treatment， patients in the intervention group received 12-month intensive pharmaceutical intervention （grading management of compliance+ regular follow-up， involving medication education and guidance， blood glucose， blood pressure， blood lipid management and healthy life guidance） provided by clinical pharmacists. The blood glucose indexes， blood lipid indexes， blood pressure compliance rate， medication compliance， 10-year stroke risk and stroke incidence were compared between two groups at baseline and 12 months after enrollment. RESULTS After 12 months of enrollment， the level of low-density lipoprotein cholesterol （LDL-C） in intervention group was significantly lower than that in the same group at baseline， and the levels of fasting blood glucose， glycosylated hemoglobin， total cholesterol and LDL-C in intervention group were significantly lower than those in control group at the same time points （P＜0.05 or P＜0.01）. The compliance rate of blood pressure and medication compliance in intervention group were significantly higher or better than those in control group （P＜0.01）. There were 12 and 15 patients in control group and intervention group turned into low-risk ones respectively， and the proportion of high-risk patients in intervention group was significantly lower than that in control group（P＜0.01）， while the proportion of medium-risk patients was significantly higher than that in control group（P＜0.05）； the incidence of stroke in intervention group was significantly lower than that in control group （1.0% vs. 4.5%， P＜0.05）. CONCLUSIONS The pharmaceutical intensive intervention led by clinical pharmacists can reduce blood glucose and blood lipid levels of hypertensive outpatients， improve their blood pressure compliance rate and medication compliance， and help reduce the risk of stroke.

The cyclic GMP-AMP synthase (cGAS)-stimulator of interferon genes (STING) signaling exert essential regulatory function in microbial-and onco-immunology through the induction of cytokines, primarily type I interferons. Recently, the aberrant and deranged signaling of the cGAS-STING axis is closely implicated in multiple sterile inflammatory diseases, including heart failure, myocardial infarction, cardiac hypertrophy, nonalcoholic fatty liver diseases, aortic aneurysm and dissection, obesity, etc. This is because of the massive loads of damage-associated molecular patterns (mitochondrial DNA, DNA in extracellular vesicles) liberated from recurrent injury to metabolic cellular organelles and tissues, which are sensed by the pathway. Also, the cGAS-STING pathway crosstalk with essential intracellular homeostasis processes like apoptosis, autophagy, and regulate cellular metabolism. Targeting derailed STING signaling has become necessary for chronic inflammatory diseases. Meanwhile, excessive type I interferons signaling impact on cardiovascular and metabolic health remain entirely elusive. In this review, we summarize the intimate connection between the cGAS-STING pathway and cardiovascular and metabolic disorders. We also discuss some potential small molecule inhibitors for the pathway. This review provides insight to stimulate interest in and support future research into understanding this signaling axis in cardiovascular and metabolic tissues and diseases.

Objective: To analyze the epidemiological characteristics of infectious diseases at schools in Beijing from 2010 to 2020, providing evidence for the prevention and control strategies in school infectious diseases. Methods: Information on public health emergencies was collected from Public Health Emergency Reporting System (the subsystem of Chinese Disease Prevention and Control Information System) reported from 2010 to 2020. Results: A total of 146 public health emergencies and 138 public health emergencies of infectious diseases in schools were reported in Beijing from 2010 to 2020, including 4 291 cases with the rate of 2.32% and affected or exposed 185 179 cases. There were significant difference in mean annual incidence rates( χ 2=782.46, P <0.01). There were 71 events of respiratory infectious diseases and 66 events of intestinal infectious diseases, accounting for 51.45% and 47.83%, respectively. The annual incidence peaks of public health emergencies of infectious diseases were during March-June and October-December. The events mainly occurred in kindergartens and primary schools among each stage of school periods with 51 and 46 incidences respectively, which accounted for 70.29% of the total number of public health emergencies in schools. The leading infectious diseases among all the reported events in kindergartens and primary schools were hand foot mouth disease and varicella. Varicella and other infectious diarrhoeal diseases were at the top lists of infectious disease outbreaks at the secondary and university stages. Conclusion Infectious diseases events were the major type of public health emergencies at schools in Beijing from 2010 to 2020. Respiratory infectious diseases and intestinal infectious diseases were the keys to the prevention and control of public health emergencies related to school. It is necessary to strengthen the surveillance for public health emergencies especially for symptom surveillance. The prevention and control measures should be taken according to the characteristics of different age groups. At the same time, the prevention and control of school infectious diseases and the drill of the plan during peak periods need to be particularly strengthened.

Gastric cancer (GC) is associated with high morbidity and mortality rates. Thus, early diagnosis is important to improve disease prognosis. Endoscopic assessment represents the most reliable imaging method for GC diagnosis; however, it is semi-invasive and costly and heavily depends on the skills of the endoscopist, which limit its clinical applicability.Therefore, the search for new sensitive biomarkers for the early detection of GC using noninvasive sampling collection methods has attracted much attention among scientists.Urine is considered an ideal biofluid, as it is readily accessible, less complex, and relatively stable than plasma and serum. Over the years, substantial progress has been made in screening for potential urinary biomarkers for GC. This review explores the possible applications and limitations of urinary biomarkers in GC detection and diagnosis.