Pre-admission is a critical initiative to optimize medical service processes and alleviate the challenge of "difficult access to healthcare. "However, there is currently a lack of standardized protocols for pre-admission procedures. This study aims to systematically analyze key nodes and risk factors in pre-admission process design and propose optimization strategies, providing a foundation for policy formulation and hospital practices. By constructing a "forward-reverse" dual-process model of pre-admission and identifying risk points based on stakeholder theory (patients, hospitals, healthcare administration, and insurance), the study reveals that while pre-admission can reduce the average length of stay, improve bed turnover rates, and enhance patient satisfaction, it also presents risks such as cross-period financial settlement, challenges in insurance policy adaptability, demands for information system integration, and the need for defining medical safety boundaries. To optimize the pre-admission process and mitigate these risks, this study explores framework improvements in areas including eligibility criteria, mode selection, cost settlement, transition between pre-admission and inpatient status, and cancellation of pre-admission, offering practical guidance for public hospitals. The authors argue that pre-admission requires tripartite collaboration among hospitals, insurers, and healthcare administrations: hospitals should establish top-level design, continuously refine processes, and implement dynamic risk assessment mechanisms; insurance providers should support cross-period settlement policies; and healthcare administrations should issue guiding policies or standardized protocols. Through multi-department coordination and collaborative efforts, the optimization and innovation of pre-admission processes can be advanced, ultimately delivering more efficient and convenient healthcare experiences for patients.

BACKGROUND: Spicy food consumption has been reported to be inversely associated with mortality from multiple diseases. However, the effect of spicy food intake on the incidence of vascular diseases in the Chinese population remains unclear. This study was conducted to explore this association. METHODS: This study was performed using the large-scale China Kadoorie Biobank (CKB) prospective cohort of 486,335 participants. The primary outcomes were vascular disease, ischemic heart disease (IHD), major coronary events (MCEs), cerebrovascular disease, stroke, and non-stroke cerebrovascular disease. A Cox proportional hazards regression model was used to assess the association between spicy food consumption and incident vascular diseases. Subgroup analysis was also performed to evaluate the heterogeneity of the association between spicy food consumption and the risk of vascular disease stratified by several basic characteristics. In addition, the joint effects of spicy food consumption and the healthy lifestyle score on the risk of vascular disease were also evaluated, and sensitivity analyses were performed to assess the reliability of the association results. RESULTS: During a median follow-up time of 12.1 years, a total of 136,125 patients with vascular disease, 46,689 patients with IHD, 10,097 patients with MCEs, 80,114 patients with cerebrovascular disease, 56,726 patients with stroke, and 40,098 patients with non-stroke cerebrovascular disease were identified. Participants who consumed spicy food 1-2 days/week (hazard ratio [HR] = 0.95, 95% confidence interval [95% CI] = [0.93, 0.97], P <0.001), 3-5 days/week (HR = 0.96, 95% CI = [0.94, 0.99], P = 0.003), and 6-7 days/week (HR = 0.97, 95% CI = [0.95, 0.99], P = 0.002) had a significantly lower risk of vascular disease than those who consumed spicy food less than once a week ( Ptrend <0.001), especially in those who were younger and living in rural areas. Notably, the disease-based subgroup analysis indicated that the inverse associations remained in IHD ( Ptrend = 0.011) and MCEs ( Ptrend = 0.002) risk. Intriguingly, there was an interaction effect between spicy food consumption and the healthy lifestyle score on the risk of IHD ( Pinteraction = 0.037). CONCLUSIONS Our findings support an inverse association between spicy food consumption and vascular disease in the Chinese population, which may provide additional dietary guidance for the prevention of vascular diseases.
Humans ; Male ; Female ; Prospective Studies ; Middle Aged ; Aged ; Vascular Diseases/etiology* ; Risk Factors ; China/epidemiology* ; Adult ; Proportional Hazards Models ; Cerebrovascular Disorders/epidemiology* ; East Asian People

The anterior cingulate cortex (ACC) has recently been proposed as a key player in the representation of itch stimuli. However, to date, little is known about the contribution of specific ACC interneuron populations to itch processing. Using c-Fos immunolabeling and in vivo Ca²⁺ imaging, we reported that both histamine and chloroquine stimuli-induced acute itch caused a marked enhancement of vasoactive intestinal peptide (VIP)-expressing interneuron activity in the ACC. Behavioral data indicated that optogenetic and chemogenetic activation of these neurons reduced scratching responses related to histaminergic and non-histaminergic acute itch. Similar neural activity and modulatory role of these neurons were seen in mice with chronic itch induced by contact dermatitis. Together, this study highlights the importance of ACC VIP⁺ neurons in modulating itch-related affect and behavior, which may help us to develop novel mechanism-based strategies to treat refractory chronic itch in the clinic.
Animals ; Pruritus/physiopathology* ; Vasoactive Intestinal Peptide/metabolism* ; Interneurons/metabolism* ; Gyrus Cinguli/metabolism* ; Mice ; Male ; Mice, Inbred C57BL ; Histamine ; Chloroquine ; Optogenetics ; Mice, Transgenic

Objective:To analyze the temporal trends of the incidence rate of tuberculosis (TB) in Shaanxi Province and provide a reference for WHO to control the prevalence of TB effectively.Methods:Joinpoint regression was used to analyze the trend of the incidence rate of TB in Shaanxi Province from 2004 to 2022, and the seasonal autoregressive moving average model was used to forecast the incidence rate of TB in Shaanxi Province to 2030.Results:The incidence rate of TB in Shaanxi Province decreased from 90.896/100 000 in 2004 to 35.364/100 000 in 2022, showing a general downward trend (AAPC=-7.72%, P<0.001). From 2014 to 2019, the reduction trend slowed down (APC=-0.69%, P=0.814), of which the largest decline occurred from 2019 to 2022 (APC=-13.26%, P=0.010). The predicted incidence rate of TB in Shaanxi Province from 2020 to 2022 was higher than the reported incidence rate, with the expected incidence rate of 51.342/100 000 in 2022 and 43.468/100 000 in 2030. Conclusion:The incidence rate of TB in Shaanxi Province shows a downward trend from 2004 to 2022, but the decline has shrunk in recent years. It is predicted that the downward trend will continue to slow down by 2030.

Objective:To analyze the temporal trends of the incidence rate of tuberculosis (TB) in Shaanxi Province and provide a reference for WHO to control the prevalence of TB effectively.Methods:Joinpoint regression was used to analyze the trend of the incidence rate of TB in Shaanxi Province from 2004 to 2022, and the seasonal autoregressive moving average model was used to forecast the incidence rate of TB in Shaanxi Province to 2030.Results:The incidence rate of TB in Shaanxi Province decreased from 90.896/100 000 in 2004 to 35.364/100 000 in 2022, showing a general downward trend (AAPC=-7.72%, P<0.001). From 2014 to 2019, the reduction trend slowed down (APC=-0.69%, P=0.814), of which the largest decline occurred from 2019 to 2022 (APC=-13.26%, P=0.010). The predicted incidence rate of TB in Shaanxi Province from 2020 to 2022 was higher than the reported incidence rate, with the expected incidence rate of 51.342/100 000 in 2022 and 43.468/100 000 in 2030. Conclusion:The incidence rate of TB in Shaanxi Province shows a downward trend from 2004 to 2022, but the decline has shrunk in recent years. It is predicted that the downward trend will continue to slow down by 2030.

Selective dorsal neurotomy (SDN) is a surgical treatment for primary premature ejaculation (PE), but there is still no standard surgical procedure for selecting the branches of the dorsal penile nerves to be removed. We performed this study to explore the value of intraoperative neurophysiological monitoring (IONM) of the penile sensory-evoked potential (PSEP) for standard surgical procedures in SDN. One hundred and twenty primary PE patients undergoing SDN were selected as the PE group and 120 non-PE patients were selected as the normal group. The PSEP was monitored and compared between the two groups under both natural and general anesthesia (GA) states. In addition, patients in the PE group were randomly divided into the IONM group and the non-IONM group. During SDN surgery, PSEP parameters of the IONM group were recorded and analyzed. The differences in PE-related outcome measurements between the perioperative period and 3 months' postoperation were compared for the PE patients, and the differences in effectiveness and complications between the IONM group and the non-IONM group were compared. The results showed that the average latency of the PSEP in the PE group was shorter than that in the normal group under both natural and GA states (P < 0.001). Three months after surgery, the significant effective rates in the IONM and non-IONM groups were 63.6% and 34.0%, respectively (P < 0.01), and the difference in complications between the two groups was significant (P < 0.05). IONM might be useful in improving the short-term therapeutic effectiveness and reducing the complications of SDN.
Male ; Humans ; Premature Ejaculation/surgery* ; Intraoperative Neurophysiological Monitoring/methods* ; Prospective Studies ; Neurosurgical Procedures/methods* ; Penis/surgery* ; Retrospective Studies

Objective:To systematically evaluate the risk prediction models of post-stroke depression (PSD).Methods:Web of Science, The Cochrane Library, PubMed, Embase, CINAHL, CNKI, SinoMed, WanFang Data, and VIP database were searched for literature related to PSD risk prediction models from inception to June 1, 2022. The quality of the included models was evaluated by Checklist for Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies (CHARMS), and Meta-analysis was performed on influencing factors enjoyed generality in the included models by RevMan 5.3 software.Results:A total of 9 pieces of literature were included, analyzing 11 risk prediction models. The area under the curve (AUC) for all models ranged from 0.726 to 0.854, and the AUC of 7 models was ≥0.8, enjoying a high prediction efficiency but a risk of bias; and the main reasons included not reporting the processing of missing data, incomplete evaluation of model effect, and lack of internal and external validation of the models. Meta-analysis results showed depression or other mental illness ( OR=6.73, 95%CI: 3.87-11.73), Eysenck Personality Questionnaire (EPQ) scores ( OR=1.13, 95%CI: 1.03-1.23), hypertension ( OR=0.47, 95%CI: 0.30-0.74), and Barthel index (BI, OR=0.98, 95%CI: 0.98-0.99) were predictors for PSD. Conclusions:PSD risk prediction models have good predictive performance but with a risk of bias, therefore, the modeling method should be improved in the future. The establishment of PSD risk prediction models should focus on the predictors as history of depression or other mental disorders, EPQ scores, hypertension, and BI.

Objective:To systematically evaluate the risk prediction models of post-stroke depression (PSD).Methods:Web of Science, The Cochrane Library, PubMed, Embase, CINAHL, CNKI, SinoMed, WanFang Data, and VIP database were searched for literature related to PSD risk prediction models from inception to June 1, 2022. The quality of the included models was evaluated by Checklist for Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies (CHARMS), and Meta-analysis was performed on influencing factors enjoyed generality in the included models by RevMan 5.3 software.Results:A total of 9 pieces of literature were included, analyzing 11 risk prediction models. The area under the curve (AUC) for all models ranged from 0.726 to 0.854, and the AUC of 7 models was ≥0.8, enjoying a high prediction efficiency but a risk of bias; and the main reasons included not reporting the processing of missing data, incomplete evaluation of model effect, and lack of internal and external validation of the models. Meta-analysis results showed depression or other mental illness ( OR=6.73, 95%CI: 3.87-11.73), Eysenck Personality Questionnaire (EPQ) scores ( OR=1.13, 95%CI: 1.03-1.23), hypertension ( OR=0.47, 95%CI: 0.30-0.74), and Barthel index (BI, OR=0.98, 95%CI: 0.98-0.99) were predictors for PSD. Conclusions:PSD risk prediction models have good predictive performance but with a risk of bias, therefore, the modeling method should be improved in the future. The establishment of PSD risk prediction models should focus on the predictors as history of depression or other mental disorders, EPQ scores, hypertension, and BI.

This paper clarified the scientific connotation of the changes in cold and heat properties of Arisaematis Rhizoma and Arisaema Cum Bile through investigating the changes of substance and energy metabolism after drug intervention in the rats with normal and cold/heat syndrome, so as to improve the method of evaluating the drug properties of Chinese medicine. After one week of adaptive feeding, healthy male SD rats were randomly divided into three parts: normal rats, heat syndrome rat models, and cold syndrome rat models. Through ice water bath and oral euthyrox(120 μg·kg~(-1)), the models of cold syndrome and heat syndrome were induced, respectively. The models were made at 9:00 am. and administrated by gavage at 3:00 pm. every day. All administration groups were administrated with Arisaematis Rhizoma and Arisaema Cum Bile decoction, respectively, and the blank group was given the same dose of normal saline. After continuous administration for 15 d, the rats were anesthetized by chloral hydrate, blood was taken from abdominal aorta, and the hearts and livers were removed and stored at-80 ℃. The changes in the body weight and anal temperature of rats during administration were detected, and the liver coefficient of rats was detected after removing the liver. Enzyme-linked immunosorbent assay(ELISA) was adopted to detect the expression level of the indexes related to substance and energy metabolism in liver and heart of rat, and Western blot was used to detect the expression of key proteins in AMPK/mTOR signaling pathway for further verification. The results showed that Arisaematis Rhizoma enhanced the expression level of enzymes related to substance and energy metabolism in the normal and cold and heat syndrome rat models, and increased anal temperature, which exhibited warm(hot) drug property. Arisaema Cum Bile inhibited the level of substance and energy metabolism in rats, and reduced anal temperature, which showed cold(cool) drug property. Chinese Pharmacopoeia has recorded "Arisaematis Rhizoma has warm property and Arisaema Cum Bile has cool property", which is consistent with the phenomenon in this study. Therefore, it is feasible to evaluate the drug properties of Chinese medicine based on the substance and energy metabolism of normal and cold/heat syndrome model rats, which completes the method of evaluating drug properties of Chinese medicine.
AMP-Activated Protein Kinases ; Animals ; Arisaema/chemistry* ; Bile ; Chloral Hydrate ; Cold-Shock Response/drug effects* ; Drugs, Chinese Herbal/therapeutic use* ; Energy Metabolism ; Heat Stroke/therapy* ; Hot Temperature ; Male ; Rats ; Rats, Sprague-Dawley ; Saline Solution ; Syndrome ; TOR Serine-Threonine Kinases ; Thyroxine ; Water