Recently, there has been an increasing risk of importation of tropical diseases into China and the resultant re-transmission in the country with the in-depth implementation of the “Belt and Road” Initiative, which poses a serious threat to the national public health security. To effectively respond to the cross-border transmission risk of tropical diseases and facilitate the process towards tropical disease control and elimination in China and the countries along the “Belt and Road” Initiative, this article analyzes the current status and governance risks of major imported tropical diseases, cross-border joint prevention and control polices implemented for tropical diseases and challenges in the establishment of the joint prevention and control system for tropical diseases in China, and discusses the establishment and implementation path of the joint prevention and control system for tropical diseases in countries along the “Belt and Road” Initiative. This path covers the establishment of cross-border cooperation mechanisms, research and development and pilot production of Chinese public health products, and implementation of key cross-border tropical disease prevention and control projects. The establishment of this system will further improve Chinese prevention and control capabilities for key cross-border tropical diseases, build a demonstrative prevention and control model for tropical diseases, and promote international technical exchanges and cooperation of tropical diseases.

OBJECTIVE To systematically evaluate medication risk prediction models for hospitalized adult patients and provide references for their development and clinical application. METHODS Databases including PubMed， Embase， Web of Science， CNKI， Wanfang data， VIP and CBM were searched for studies on medication risk prediction models from their inception to May 2024. After screening the literature， extracting data， and evaluating the quality of the literature， descriptive analysis was performed on the results of the included studies. RESULTS A total of 13 studies were included， involving 12 models. Nine studies used Logistic regression algorithm for modeling， and the number of included predictive factors ranged from 3 to 11； the area under the receiver operating characteristic curve ranged from 0.65 to 0.865. The literature quality evaluation results showed that 10 studies had high risk of bias； 10 studies had high applicability risk. A total of 31 predictive factors were extracted， including 15 items of basic patient information， 3 test indicators， and 5 items of medication information， and 8 others. CONCLUSIONS The existing medication risk prediction models for hospitalized adult inpatients are mainly Logistic regression algorithm， with predictive factors mainly focusing on basic indicators such as demographics. The overall prediction performance of the models needs to be improved， and the overall risk of bias is relatively high.

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.

Cerebral small vessel disease （CSVD） is a spectrum of pathological conditions affecting intracranial small blood vessels and is associated with a variety of clinical manifestations， including cognitive impairment， gait abnormalities， and sleep disorders. In recent years， the association between CSVD and sleep disorders has attracted increasing attention. This article reviews the association of CSVD with various sleep disorders such as obstructive/central sleep apnea hypoventilation syndrome， restless legs syndrome， and insomnia， analyzes the mechanisms by which sleep disorders cause CSVD， and proposes potential directions for future research.

Objective To evaluate the protective effect of radiation protection safety education (RPSE) on patients with differentiated thyroid carcinoma (DTC) undergoing iodine-131 (¹³¹I) treatment. Methods The DTC patients who undergo ¹³¹I treatment were divided into the control group and the RPSE group using the convenience sampling method, with 142 patients in each group. Patients in the control group received routine health education, while the RPSE group received routine health education combined with RPSE. Dose equivalent rate (DER) on pillows, bed sheets, quilt covers, and household waste of patients were compared between the two groups upon discharge. Results The median (M) DERs of patients' pillows, bed sheets, quilt covers and household waste were 3.86, 3.63, 3.91 and 56.59 times higher in the control group compared with the environmental background level, respectively. The M DERs of patients' pillows, bed sheets, quilt covers were 2.23, 2.18, and 2.55 times higher in the RPSE group compared with the environmental background level, while the M DER of household waste was equivalent to the environmental background level. The DERs of patients' pillows, bed sheets, quilt covers, and household waste in the RPSE group were significantly lower than those in the control group (all P<0.001). The DERs of the above four items were lower in both male and female patients in RPSE group compared with same-gender patients in the control group (all P<0.001). The patients' DERs of the above indicators had no significant difference among different gender in both control group and RPSE group (all P>0.05), except for higher DER of household waste in female patients than that of male patients in the control group (P<0.05). There were no significant differences in the DERs of pillows, bed sheets, quilt covers, and household waste across subgroups, where patients received different treatment doses, of both the control group and the RPSE group (all P>0.05). Conclusion RPSE for DTC patients treated with ¹³¹I, reduces the DERs of pillows, bed sheets, quilt covers, and particularly household waste.

Objective To establish an individual Nomgram model for predicting the risk of coronary heart disease complicated with pulmonary hypertension. Methods From January 2017 to December 2021 , 352 patients with coronary heart disease (CHD) complicated with pulmonary hypertension in our hospital were selected, and 352 patients with coronary heart disease but without pulmonary hypertension were selected as the control group. The clinical baseline data of the two groups were analyzed first, and then logistics multivariate analysis was performed. To explore the risk factors of coronary heart disease complicated with pulmonary hypertension, the Nomgram model was established to predict the risk, and the predictive value of the model was tested by receiver characteristic curve (ROC). Results Logistics multivariate analysis showed that alcoholism, smoking, stroke history, hypertension course, CHD course, PASP, HCT, PaCO₂, D-dimer, NIHSS score and low PaO₂ were all independent risk factors for CHD complicated with pulmonary hypertension. Nomgram model prediction results for patients with coronary heart disease showed that Alcohol abuse, smoking, stroke history, duration of hypertension (5.66 years), duration of coronary heart disease (2.12 years), NIHSS (12.33 points), PASP (75.22mmHg), HCT (33.22%), PaCO₂ (56.11mmHg), D-dimer (255.12μg/L), PaO2 (56.22mmHg) is a risk factor for coronary heart disease complicated with pulmonary hypertension. ROC curve showed that the area under the prediction curve of Nomgram model for coronary heart disease complicated with pulmonary hypertension was 0.675. Conclusion Nomgram model can predict pulmonary hypertension in patients with coronary heart disease to a certain extent.

As a commonly used traditional Chinese medicine in clinical practice， Tripterygium wilfordii has the functions of dispelling wind and removing dampness， detoxicating and destroying parasites， detumescence， pain relief， promoting blood circulation， and dredging collateral. Modern pharmacological studies show that it also has other functions such as anticancer， anti-inflammation， and immunosuppression. It has been widely used to treat autoimmune diseases， renal diseases， and tumors. T. wilfordii contains a variety of chemical components， among which triptolide （TP） can cause varying degrees of damage to human digestive， circulatory， reproductive， and other systems， with liver injury being the most common one， which greatly limits the development of TP in new drug research and industrial application. Therefore， the authors focused on the research hotspot of TP-induced liver injury and summarized relevant Chinese and international literature regarding the clinical manifestations， injury mechanisms， and detoxification strategies of TP-induced liver injury. This helps to provide a scientific basis for the clinical drug safety and scientific drug supervision of TP. The clinical manifestations of TP-induced liver injury are mostly abnormal transaminases， loss of appetite， nausea and vomiting， anorexia， yellow staining of skin and sclera， and yellow urine. The mechanisms of the above clinical manifestations involve apoptosis， oxidative stress， influence on cytochrome P450 superfamily， macrophage polarization， regulation of biological clock gene Clock， etc. Among them， cell apoptosis is related to neurogenic locus notch homolog protein 1 （Notch1）， dynamin-related protein 1 （Drp1）-cytochrome C （Cyt C）， phosphatidylinositide 3-kinases （PI3K）/protein kinase B （Akt）， mitogen-activated protein kinase （MAPK）， tumor suppressor protein 53 （p53）， Fas cell surface death receptor （Fas）/Caspase-8， and other signaling pathways. Oxidative stress is related to inhibition of nuclear factor-erythroid 2-related factor 2 （NRF2） signaling pathway， promotion of cytochrome P450 2E1 （CYP2E1） expression， and excessive accumulation of reactive oxygen （ROS）. The influence of the cytochrome P450 superfamily is manifested as reducing the substrate affinity， activity， and expression of cytochrome P450 3A （CYP3A）， cytochrome P450 2C9 （CYP2C9）， cytochrome P450 2C19 （CYP2C19）， and cytochrome P450 1A2 （CYP1A2）. Promoting the transformation of macrophages into the M1 type is related to the secretion of inflammatory factors and the accumulation of endotoxin， and the internal rhythmic regulation of the biological clock gene Clock， is related to the expression of cytochrome P450 3A11 （CYP3A11） metabolic enzyme. The detoxification strategies in the clinical application include herbs-processing detoxification strategy and drug-pairing detoxification. The traditional Chinese medicines and monomers that are helpful for detoxification include Glycyrrhiza uralensis， Paeonia lactiflora， Lysimachia christinae， Rehmannia glutinosa， saffron， and paeoniflorin. The reviews and discussion about these topics can help to provide more references for related research and clinical application of TP.

Background Sleep is a crucial physiological activity for the human body, and research has shown that air pollution can affect sleep quality. However, the association between polycyclic aromatic hydrocarbons (PAHs) exposure, neurotoxic compounds in air pollutants, and sleep quality remains uncertain. Objective To evaluate the association of PAHs exposure with sleep quality, and to provide evidence for improving sleep quality. Methods This study used a cross-sectional design. We selected 632 workers from a coking plant of a large state-owned enterprise as the exposure group, and 477 workers from the energy and power plant of the same enterprise as the control group. All workers worked in three shifts. A questionnaire survey was conducted to collect basic information including gender, years of service, age, educational level, smoking, alcohol consumption, consumption of fried foods, cooking frequency, types of cooking fuels. Worker's post-shift morning midstream urine was sampled to determine the concentrations of eight PAHs metabolites (OH-PAHs) using gas chromatography-tandem mass spectrometry (GC-MS). Worker's sleep quality was assessed using Pittsburgh Sleep Quality Index (PSQI). A higher PSQI score indicated a lower sleep quality. Associations of urinary OH-PAHs levels with sleep quality in the workers were analyzed using linear regression, Bayesian kernel-machine regression (BKMR), and quantile g-computation. Results The median (P₂₅, P₇₅) concentration of total OH-PAHs in the exposure group [88.84 (46.27, 151.96) μg·L⁻¹] was higher than that in the control group [54.33 (24.86, 97.97) μg·L⁻¹]. Additionally, the PSQI score (\begin{document}$ \overline{x}\pm {s} $\end{document}) in the exposure group (5.16±3.84) was higher than that in the control group (4.60±3.17). The multiple linear regression revealed that an increase in the sum of the concentrations of eight OH-PAHs after natural logarithmic transformation (lnΣ₈OH-PAHs) was associated with an increase of 0.3646 (95%CI: 0.1337, 0.5955) in PSQI score, and an increase in lnΣlow-ring OH-PAHs was associated with an increase of 0.2954 (95%CI: 0.0941, 0.4967) in PSQI score. The BKMR analysis demonstrated that PSQI score was gradually increased as the increasing of lnΣ₈OH-PAHs concentration. The quantile g-computation analysis indicated that a quantile increase in lnΣ₈OH-PAHs concentration was associated with an increase of 0.4062% (95%CI: 0.1176%, 0.6949%) in PSQI score. Conclusion Compared to the controls, the coking workers show a higher concentration of urinary OH-PAHs and report worse sleep quality. The concentration of OH-PAHs is significantly negatively associated with sleep quality.

ObjectiveTo identify the rate， population characteristics， and vaccination history of repeat infections among previously infected people in the current epidemic based on the rate of repeat infection and population characteristics of different mutant strains at different times in Pudong New Area of Shanghai， and to provide reference for the prevention and control strategies of novel coronavirus repeat infections. MethodsA total of 9 250 investigated subjects were randomly selected from the new cases of asymptomatic infection and confirmed cases reported by Pudong New Area from March to May 2022. The investigation mainly focused on demographic characteristics， nucleic acid or antigen test results， and symptoms after infection. The repeat infection rates among different populations were compared， and logistic regression was used to analyze the impact of gender， age， and vaccination status on repeat infections. ResultsThe survey sample of 9 250 people had a response rate of 81.85%. There were 4 043 males （53.40%） and 3 528 females （46.60%）， with a median age of 34 years old （P₂₅， P₇₅： 7， 61）. The overall vaccine uptake rate was 59.44% （4 500/7 571）. In December of 2022， there were 563 cases of repeat infection， with an infection rate of 7.44%. The lowest rate of repeat infection was seen in the 3‒ year-old group （2.86%） and the highest rate in the 30‒ year-old group （12.42%）， with significant differences between different age groups. The repeated infection rate for those who had completed their vaccinations was significantly lower （6.57%） compared to those who had not （7.11%）. The age groups of 3‒ years， 70‒79 years， as well as individuals who completed full vaccination and received booster shots were protective factors against repeat infections. ConclusionThe overall rate of reinfection among the infected in Shanghai during the spring of 2022 was low in the outbreak of the Omicron variant， and the rate of reinfection in the 3‒ year-old group was significantly lower than in other age groups. Completing the full course of vaccination significantly reduces the risk of reinfection. Although the reinfection rate is high in individuals who received booster shots， it remains a mitigating factor compared to those who do not receive the vaccine. It is recommended to continue monitoring reinfections in key populations and further strengthen immunization efforts.

Objective To evaluate the characteristics of dose distribution of neuronal networks in vitro on microelectrode arrays(MEAs)under 2.6 GHz radiofrequency(RF)exposure.Methods The MEAs were coupled with a real-time RF exposure setup,and electromagnetic simulation software was used to calculate the RF dose absorbed in cultured neuronal networks.A fiber-optic temperature probe was used for experimental validation and monitoring of the cell temperature during RF exposure.The MEAs were used to record the electrical activity of neurons.Results For an input power of 1 W,a specific absorption rate(SAR)level of(15.51±2.48)W/kg was calculated,and the variability of the SAR distribution was 16%.In our experimental system,the temperature elevation of neurons was up to 0.15℃for an SAR of 4 W/kg RF exposure.Conclusion The exposure device can provide high SAR efficiency and uniformity in the 2.6 GHz band,which is suitable for studying the real-time effects of RF fields on the electrical activity of neuronal networks in the 5G network band.