The Pharmacovigilance Guidelines for Clinical Application of Oral Chinese Patent Medicines （hereinafter referred to as the Guidelines） is first specialized in the field of drug safety for oral Chinese patent medicines （OCPMs） in China. Rooted in China's healthcare context， the Guidelines address the unique usage patterns and risk characteristics of OCPMs， filling a regulatory gap in the pharmacovigilance framework specific to this category. To facilitate accurate understanding and effective implementation of the Guidelines， and to promote the standardized development of pharmacovigilance practices for OCPMs， this study offered a systematic interpretation based on its three core components. In the domain of risk monitoring and reporting， the paper analyzed the rationale for multi-source information integration and clarified the criteria for identifying key products and target populations for intensive monitoring. Regarding risk assessment， the Guidelines were examined from three dimensions of formulation components， medication behaviors， and population to address complex safety issues arising from medicinal constituents， irrational use， and individual susceptibility. In the area of risk control， the analysis focused on context-based interventions and dynamic closed-loop management strategies， exploring practical pathways to shift from passive response to proactive risk mitigation. Furthermore， this paper evaluated the applied value of the Guidelines and identified implementation challenges， such as insufficient capacity at the primary-care level and limited digital infrastructure. In response， the study proposed optimization strategies including establishing a dynamic updating mechanism， strengthening training at the grassroots level， and incorporating artificial intelligence to enhance pharmacovigilance capacity. This interpretation aims to provide actionable insights for marketing authorization holders （including manufacturers）， pharmaceutical distributors， healthcare institutions， and research organizations， ultimately supporting the establishment and refinement of a full lifecycle pharmacovigilance system for OCPMs.

ObjectiveTo develop a standardized classification model for traditional Chinese medicine （TCM） syndrome patterns of mixed hemorrhoids using multi-center real-world data， and unveil their distribution patterns and core risk factors， thereby providing evidence-based support for standardizing TCM syndrome differentiation and implementing precision interventions. MethodsA multi-center cross-sectional study was conducted， enrolling 13 283 mixed hemorrhoid patients from eight hospitals in Jiangsu Province between September 1st， 2023 and December 31st， 2024. DeepSeek-R1-Distill-Qwen-7B and LLaMA-3.3 large language models （LLM） were integrated with latent class analysis （LCA） to perform unsupervised learning and latent class modeling of TCM symptomatology. Potential risk factors were screened via univariate analysis， followed by logistic regression to identify independent risk factors for each syndrome pattern. ResultsThe model's performance indicators were stable and reliable across different clinical data types，i.e. in the outpatient records， past medical history （F1=99.7%）， current medical history （F1=94.9%）， and specialist examination （F1=90.7%）； in inpatient records， past medical history （F1=98.2%）， current medical history （F1=91.2%）， specialist examination （F1=90.3%）， and discharge status （F1=90.6%）. Latent class mode-ling identified four core TCM syndrome patterns including spleen deficiency and qi sinking syndrome （915 cases， 6.89%）， damp-heat pouring downward syndrome （10 820 cases， 81.46%）， qi stagnation and blood stasis syndrome （1252 cases， 9.43%）， and wind injuring intestinal collaterals syndrome （296 cases， 2.22%）， with respective latent class probabilities of 0.069， 0.815， 0.094， and 0.022. Logistic regression demonstrated that gender， age， disease duration， hypertension， diabetes， hyperlipidemia， constipation， smoking history， and alcohol consumption were independent risk factors for pattern differentiation （P＜0.05）. The efficacy validation evaluation revealed that the cure rates for patients with spleen deficiency and qi sinking syndrome and qi stagnation and blood stasis syndrome were higher than those for patients with damp-heat pouring downward syndrome （adjusted P＜0.05）， with no statistically significant differences among other syndrome patterns. ConclusionDamp-heat pouring downward syndrome is the predominant syndrome in mixed hemorrhoids. Gender， age， disease duration， hypertension， diabetes， hyperlipi-demia， constipation， smoking history， and alcohol consumption are independent risk factors for the differentiation of syndrome types.

To analyze the clinical and genetic features of oculopharyngodistal myopathy (OPDM) patients and compare the phenotypic differences among various causative genes.

In the context of burgeoning economic trade, there has been a remarkable increase in the number of ships travelling between domestic and international ports. Inbound and outbound cargo ships, cruise liners, ferries, and other types of vessels have emerged as critical vehicles for the dispersal of vector organisms and the spread of infectious disease agents. Public health concerns associated with these vessels represent a significant threat to human welfare. In this paper, we comprehensively review the hazards posed by vector organisms on ships, the latest advances in prevention and control strategies, and proposes appropriate countermeasures. The aim is to provide effective guidance for the prevention and control of public health security issues caused by ship-borne vector organisms.

Parkinson’s disease (PD) is a common neurodegenerative disorder with profound impact on patients’ quality of life and long-term health, and early detection and intervention are particularly critical. In recent years, the search for precise and reliable biomarkers has become one of the key strategies to effectively address the clinical challenges of PD. In this paper, we systematically evaluated potential biomarkers, including proteins, metabolites, epigenetic markers, and exosomes, in the peripheral blood of PD patients. Protein markers are one of the main directions of biomarker research in PD. In particular, α‑synuclein and its phosphorylated form play a key role in the pathological process of PD. It has been shown that aggregation of α-synuclein may be associated with pathologic protein deposition in PD and may be a potential marker for early diagnosis of PD. In terms of metabolites, uric acid, as a metabolite, plays an important role in oxidative stress and neuroprotection in PD. It has been found that changes in uric acid levels may be associated with the onset and progression of PD, showing its potential as an early diagnostic marker. Epigenetic markers, such as DNA methylation modifications and miRNAs, have also attracted much attention in Parkinson’s disease research. Changes in these markers may affect the expression of PD-related genes and have an important impact on the onset and progression of the disease, providing new research perspectives for the early diagnosis of PD. In addition, exosomes, as a potential biomarker carrier for PD, are able to carry a variety of biomolecules involved in intercellular communication and pathological regulation. Studies have shown that exosomes may play an important role in the pathogenesis of PD, and their detection in blood may provide a new breakthrough for early diagnosis. It has been shown that exosomes may play an important role in the pathogenesis of PD, and their detection in blood may provide new breakthroughs in early diagnosis. In summary, through in-depth evaluation of biomarkers in the peripheral blood of PD patients, this paper demonstrates the important potential of these markers in the early diagnosis of PD and in the study of pathological mechanisms. Future studies will continue to explore the clinical application value of these biomarkers to promote the early detection of PD and individualized treatment strategies.

Objective:To explore the establishment, implementation, and application effect of the annual progressive assessment mode for standardized training of resident physicians in a medical laboratory base.Methods:Since 2020, the base has improved the annual progressive assessment system through assessment system establishment, question bank construction, routine assessment, rotation examination, and annual examination. This new assessment mode was adopted for the residency trainees enrolled in the base after 2020. The control group consisted of seven residency trainees enrolled before 2020, while the experimental group comprised 13 trainees enrolled in 2020 and later. The two groups were compared based on the rotation and annual examination scores of second- and third-year trainees, as well as their academic achievements. Additionally, teaching outcomes of the base before and after 2020 were analyzed. The t test, rank-sum test, and Fisher's exact test were performed using SPSS 27.00. Results:There were no significant differences in age, sex, and education level between the two groups. The experimental group showed significantly higher scores than the control group in theory assessment ( P<0.001 for second-year trainees and P=0.008 for third-year trainees) and skill assessment ( P<0.001 for second-year trainees and P=0.038 for third-year trainees) in rotation examination, as well as in theory assessment (both P<0.001) and skill assessment (both P<0.001) in annual examination. The improvement was particularly pronounced among second-year trainees. The trainees of the experimental group submitted 17 case reports in three years, and won awards at national conferences, provincial conferences, and institutional case speech competitions. In a national academic conference, the trainees won the second prize of "Excellent Case". Since 2020, we have been granted with our first teaching reform project and published our first teaching article. To date, we have obtained five teaching reform projects, published six teaching articles, and won multiple awards in provincial and institutional teaching competitions. Conclusions:The establishment of the annual progressive assessment mode is critical for training high-quality laboratory physicians, and puts forward higher requirements for residency training teachers.

Objective To explore the impact of vision impairment(VI)on the gait of hemiplegic patients,assess their walking ability and fall risks,and provide a basis for developing effective rehabilitation strategies.Methods Thirty hemiplegic patients were enrolled and stratified by the severity of visual acuity impairment into three groups(unimpaired,mildly impaired,and severely impaired).The gait data of patients under uncorrected vision were collected using the Qualisys motion capture system and the Kistler three-dimensional force platform,and the balance ability of patients was assessed simultaneously.Subsequently,the gait and assessment data were statistically analyzed to compare inter-group differences.Results Compared with the visually unimpaired group,significant differences in step length,symmetry,and walking speed were observed in hemiplegic patients of the mild visual impairment group and severe visual impairment group.As VI increased,gait abnormalities became more pronounced,with a longer double-limb support phase,a longer swing phase of the affected limb,and a shorter single-limb support phase of the affected limb in the gait cycle.Compared with the visually unimpaired group,significant differences in center of pressure(COP)and COP symmetry were found between the mild visual impairment group and severe visual impairment group,with gait abnormalities intensifying.The Berg balance scale(BBS)scores showed that there was a significant difference between the visually unimpaired group and severe visual impairment group,indicating that the group with visual impairment had poorer balance ability.Conclusions VI has a significant negative impact on the gait and walking ability of hemiplegic patients.This study emphasizes the importance of focusing on the impact of VI in the rehabilitation of hemiplegic patients,with regular vision assessments and personalized interventions being conducted,which are of great significance in enhancing patients' walking quality.

Objective:To understand the prevalence and related factors of three common chronic diseases, hyperlipidemia, hypertension and diabetes in HIV-infected persons.Methods:As of December 2023, HIV-infected persons >15 years old who are receiving antiviral therapy (ART) and follow-up in Henan Province were selected as the study objects. Questionnaires, physical examinations, and blood samples were collected to collect demographic information, ART, body weight, blood lipids, blood pressure, and blood sugar of HIV-infected persons. The logistic regression model was used to analyze the related factors of hyperlipidemia, hypertension and diabetes.Results:Among 4 023 HIV-infected patients, the prevalence rates of hyperlipidemia, hypertension, and diabetes were 64.47% (2 594/4 023), 16.80% (676/4 023), and 10.54% (424/4 023), respectively. Multivariate analysis showed that hyperlipidemia was positively associated with ≥40 years of age, overweight and obesity, two nucleoside reverse transcriptase inhibitors (NRTIs) + proteasome inhibitors (PIs) regimen and two NRTIs+ integrase inhibitor regimen, and negatively associated with low body weight. Hypertension was positively correlated with the age group ≥40 years old, family history of cardiovascular and cerebrovascular diseases, overweight and obesity, ART time ≥0.5 years, and negatively correlated with low body weight. Diabetes was positively associated with age group ≥40 years, family history of cardiovascular and cerebrovascular disease, overweight and obesity, and negatively associated with the use of two NRTIs+PIs treatment regimens.Conclusions:In 2023, the prevalence of hyperlipidemia, hypertension, and diabetes among HIV-infected people in Henan Province was relatively high, and the risk of common chronic diseases among those ≥40 years old, overweight and obese, and those with a family history of cardiovascular and cerebrovascular diseases was also relatively high. It is recommended to strengthen the prevention and management of common chronic diseases among HIV-infected people.

Objective To explore the impact of vision impairment(VI)on the gait of hemiplegic patients,assess their walking ability and fall risks,and provide a basis for developing effective rehabilitation strategies.Methods Thirty hemiplegic patients were enrolled and stratified by the severity of visual acuity impairment into three groups(unimpaired,mildly impaired,and severely impaired).The gait data of patients under uncorrected vision were collected using the Qualisys motion capture system and the Kistler three-dimensional force platform,and the balance ability of patients was assessed simultaneously.Subsequently,the gait and assessment data were statistically analyzed to compare inter-group differences.Results Compared with the visually unimpaired group,significant differences in step length,symmetry,and walking speed were observed in hemiplegic patients of the mild visual impairment group and severe visual impairment group.As VI increased,gait abnormalities became more pronounced,with a longer double-limb support phase,a longer swing phase of the affected limb,and a shorter single-limb support phase of the affected limb in the gait cycle.Compared with the visually unimpaired group,significant differences in center of pressure(COP)and COP symmetry were found between the mild visual impairment group and severe visual impairment group,with gait abnormalities intensifying.The Berg balance scale(BBS)scores showed that there was a significant difference between the visually unimpaired group and severe visual impairment group,indicating that the group with visual impairment had poorer balance ability.Conclusions VI has a significant negative impact on the gait and walking ability of hemiplegic patients.This study emphasizes the importance of focusing on the impact of VI in the rehabilitation of hemiplegic patients,with regular vision assessments and personalized interventions being conducted,which are of great significance in enhancing patients' walking quality.

Objective:To assess the effect of joint exposure to multiple air pollutants on sleep structure in patients with stable chronic obstructive pulmonary disease (COPD), identify key air pollutants, and analyze potential influencing factors.Methods:In this panel study, 92 stable COPD patients were recruited. From March 2021 to September 2023 in Beijing, all participants completed 254 nights of sleep monitoring. The total sleep duration, light sleep duration, deep sleep duration and rapid eye movement sleep duration and their respective proportions in total sleep duration were recorded. The exposure levels of fine particulate matter (PM 2.5), inhalable particulate matter (PM 10), nitrogen dioxide (NO 2), ozone (O 3), sulfur dioxide (SO 2), and carbon monoxide (CO) were estimated based on the infiltration factor method and time-activity logs of participants. To assess the lag effect of air pollutants, moving average concentrations of air pollutants from 0-1 day to 0-3 months were calculated. The linear mixed-effect model and Bayesian kernel machine regression (BKMR) model were used to assess the single and joint effects of air pollutants on sleep structure parameters in COPD patients, respectively. Results:All six types of air pollutants were associated with changes in sleep structure, manifesting as an increase in total sleep duration and light sleep proportion and a reduction in deep sleep proportion. The effects of O 3 were strongest at lag 0-6 days, while other air pollutants were at lag 0-3 months. Joint exposure to multiple air pollutants exerted significant joint effects on sleep structure, and NO 2 was identified as the dominant pollutant. NO 2 had a posterior inclusion probability (PIP) greater than 0.5 for light sleep proportion (PIP=0.691) and deep sleep proportion (PIP=0.957). With an interquartile range (IQR) increase of 8.6 μg/m 3 in NO 2 at lag 0-3 months, the light sleep proportion increased by 10.5% (95% CI: 2.2%-19.4%), and the deep sleep proportion decreased by 19.5% (95% CI:-30.6%- -6.8%). Conclusion:Joint exposure to air pollutants is associated with changes in sleep structure in stable COPD patients, and NO 2 may be a key pollutant.