To summarize the distribution characteristics of human papillomavirus(HPV) infection types in patients with cervical squamous intraepithelial lesion(SIL) and cervical cancer(CC), and to explore the impact of HPV vaccination, HPV infection types, and general clinical data on different grades of cervical lesions.

OBJECTIVE To investigate the clinical characteristics and risk factors for batroxobin-related severe hypofibrinogenemia （HFIB） and construct a risk prediction model. METHODS A retrospective analysis was conducted on inpatients treated with batroxobin in the First Medical Center of a tertiary hospital from January 1， 2020， to December 31， 2024. Patients were categorized into non-severe HFIB group and severe HFIB group based on the severity of HFIB. Univariate and multivariate Logistic regression analyses were performed to identify the independent influencing factors for batroxobin-related severe HFIB. A nomogram was developed using the “rms” package in R 4.5 software. The predictive performance of the model was evaluated using the receiver operating characteristic curve. Calibration was assessed via the Bootstrap resampling method， and goodness-of-fit was evaluated with the Hosmer-Lemeshow test. RESULTS A total of 1 472 patients were included in this study. Of these， 1 445 developed HFIB， yi elding an incidence of 98.17%. Furthermore， 895 were classified as severe HFIB， accounting for 60.80% of the cohort. Multivariate Logistic regression analysis showed that increased age， high initial dose per 10 kg body weight， use of maintenance dose， and concomitant glucocorticoid use were independent risk factors for batroxobin-related severe HFIB， while high baseline fibrinogen （FIB） level was identified as a protective factor. The model demonstrated an area under the curve of 0.760 （95% CI： 0.735-0.785）. The mean absolute error of the calibration curve was 0.006. The P value of the Hosmer-Lemeshow test was 0.609. CONCLUSIONS Batroxobin can rapidly and significantly reduce FIB levels and carries a risk of inducing severe HFIB. Patients with advanced age， high initial dose per 10 kg body weight， use of maintenance dose and concomitant glucocorticoid use had a higher risk of batroxobin-related severe HFIB， while high baseline FIB level had a lower risk of batroxobin-related severe HFIB. The risk prediction model developed based on these factors can be used to predict the likelihood of batroxobin-related severe HFIB.

Objective: To investigate the prevalence and influencing factors of hepatitis C virus (HCV) infection among drug users in Baoshan District, Shanghai Municipality, so as to provide insights into strengthening HCV intervention among drug users. Methods: Drug users under community management in Baoshan District from 2017 to 2023 were recruited. Demographic information, drug use behaviors, sexual behaviors and receipt of intervention service were collected through questionnaire surveys. Blood samples were collected for HCV antibody testing, and the prevalence of anti-HCV antibody was analyzed. Factors affecting the prevalence of anti-HCV antibody among drug users were analyzed using a multivariable logistic regression model. Results: A total of 2 801 drug users were surveyed, including 2 233 males (79.72%) and 568 females (20.28%). The majority of drug users were aged 40 to <60 years (1 663 drug users, 59.37%). The prevalence of anti-HCV antibody was 28.35%, showing an overall upward trend from 2017 to 2023 (P<0.05). Multivariable logistic regression analysis showed that females (OR=1.468, 95%CI: 1.169-1.844), 40 years and over (40 to <50 years, OR=2.441, 95%CI: 1.838-3.242; 50 to <60 years, OR=2.377, 95%CI: 1.787-3.161; 60 to 97 years, OR=1.637, 95%CI: 1.163-2.304), using traditional drugs (OR=2.488, 95%CI: 1.967-3.147) or mixed drugs (OR=2.950, 95%CI: 1.974-4.409), having injected drugs (not share needles, OR=3.649, 95%CI: 2.849-4.673; share needles, OR=3.532, 95%CI: 1.851-6.738) and never using condoms during sexual contacts with spouses/cohabitants in the past year (OR=1.975, 95%CI: 1.354-2.879) were associated with a higher prevalence of anti-HCV antibody; the educational level of high school/technical secondary school (OR=0.483, 95%CI: 0.280-0.835) or college and above (OR=0.280, 95%CI: 0.129-0.608) was associated with a lower prevalence of anti-HCV antibody. Conclusions The prevalence of anti-HCV antibody among drug users in Baoshan District showed an upward trend from 2017 to 2023. Gender, age, educational level, type of drugs, history of drug injection and never using condoms during sexual contacts with spouses/cohabitants were influencing factors for prevalence of anti-HCV antibody among drug users.

ObjectiveTo explore the changes in volatile components， total polysaccharides， enzyme activity， and chromaticity value of Myristicae Semen Koji（MSK） during the fermentation process， and conduct correlation analysis. MethodsBased on gas chromatography-mass spectrometry（GC-MS）， the changes of volatile components in MSK at different fermentation times were identified. The phenol sulfuric acid method， dinitrosalicylic acid method（DNS）， and carboxymethyl cellulose sodium salt method（CMC-Na） were used to investigate the total polysaccharide content， amylase activity， and cellulase activity during the fermentation process. Visual analysis technology was used to explore the changes in chromaticity values， revealing the fermentation process of MSK and the dynamic changes of various measurement indicators， partial least squares-discriminant analysis（PLS-DA） was used to explore the differential compounds of MSK at different fermentation degrees， and Pearson correlation analysis was used to explore the correlation between volatile components of MSK and total polysaccharides， enzyme activity， and chromaticity values. ResultsA total of 60 volatile compounds were identified from MSK， the relative contents of components such as （+）-α-pinene， β-phellandrene， β-pinene， （+）-limonene， and p-cymene obviously increased， while the relative contents of components such as safrole， methyl isoeugenol， methyleugenol， myristicin， and elemicin significantly decreased. During the fermentation process， the total polysaccharide content showed an upward trend， while the activities of amylase and cellulase showed an initial increase followed by a decrease， and reached their maximum value at 40 h. the overall brightness（L^*） and total color difference（ΔE^*） gradually increased， while the changes in red-green value（a^*） and yellow-blue value（b^*） were not obvious. PLS-DA results showed that MSK could be clearly distinguished at different fermentation times， and 13 differential biomarkers were screened out. Pearson correlation analysis results showed that the contents of α-terpinene， β-phellandrene， methyleugenol， β-cubebene and myristic acid had an obvious correlation with chromaticity values. ConclusionAfter fermentation， the volatile components， total polysaccharides， amylase activity， and cellulase activity of MSK undergo significant changes， and there is a clear correlation between them and chromaticity values， which reveals the dynamic changes in the fermentation process and related indicators of MSK， laying a foundation for the quality control.

OBJECTIVE To explore clinical characteristics and risk factors of drug-induced hypofibrinogenemia， providing a reference for rational clinical drug use. METHODS Retrospective case analyses literature on drug-induced hypofibrinogenemia were collected from domestic and international databases from their inception to December 31， 2024. The patients’ gender， age， fibrinogen （FIB） levels before and after treatment， drug types， the incidence of drug-induced hypofibrinogenemia， time of occurrence， bleeding rates， clinical manifestations， risk factors， and protective factors were all analyzed. RESULTS A total of 40 retrospective case analysis studies were included， involving 17 313 patients. Patient age ranged from 0.83 to 78.40 years， with males accounting for 16.90%-81.00%. The involved drugs comprised 5 categories and 13 specific agents， including tigecycline， snake venom hemocoagulase， tocilizumab， and alteplase， etc. The incidence of drug-induced hypofibrinogenemia ranged from 0 to 100%， occurring between 2 hours and 9 months after drug administration， and FIB levels rebounded in most patients after drug discontinuation. The bleeding rate varied from 0% to 91.30%， including epistaxis， airway bleeding， gastrointestinal bleeding， and cerebral hemorrhage. Risk factors included high drug dosage， prolonged treatment duration， abdominal infection， advanced age， and low baseline FIB levels. Protective factors were only mentioned in studies on tigecycline， including skin and soft tissue infections and high baseline FIB levels. CONCLUSIONS Drug-induced hypofibrinogenemia is commonly associated with tigecycline， hemocoagulase， and tocilizumab. Its clinical features vary depending on the drug， and risk factors include high drug dosage， prolonged treatment， low baseline FIB levels， and advanced age. For high-risk medications， individualized medication management and monitoring of FIB levels are recommended.

OBJECTIVE To investigate the establishment and promotion of a new standardized management model for anti- osteoporosis medication after fragility fracture surgery by resident clinical pharmacists， and provide references for resident pharmacists to carry out clinical pharmaceutical services. METHODS From July 2023 to March 2024，595 post-brittle fracture surgery patients were enrolled. Using the PDCA （plan-do-check-act） cycle，resident clinical pharmacists identified issues and conducted investigations in clinical practice. Through integrating clinical pharmacist intervention services before， during and after treatment， a medication treatment pathway was developed， thereby establishing a standardized management model for anti- osteoporosis treatment following fragility fracture surgery. Leveraging the National Brittle Fracture Big Data Platform （under the National Clinical Research Center for Orthopedics and Sports Rehabilitation）， a dedicated data module was constructed， providing big data support to evaluate the efficacy of this pharmaceutical care model. RESULTS Continuous PDCA cycle driven improvements significantly increased the proportion of osteoporosis diagnosis （from 9% before intervention to 81%） and proportion of drug treatment （from 4% to 75%）.The proportions of bone density and bone metabolism testing also rose markedly，positively impacting long-term patient outcomes. CONCLUSIONS The establishment of a standardized management model for anti- osteoporosis treatment following fragility fracture surgery by resident clinical pharmacists has enhanced clinicians’ diagnostic and therapeutic capabilities for osteoporosis， ensures rational medication use in osteoporosis patients， and demonstrates significant potential for widespread adoption and application.

The incidence of gestational diabetes mellitus (GDM) is gradually increasing and has become a significant public health issue. Endocrine disrupting chemicals (EDCs) are a ubiquitous class of exogenous chemical substances that can interfere with hormone synthesis, metabolism, and activity, and subsequently affect endocrine homeostasis. Humans are extensively and continuously exposed to various EDCs originating from food packaging, plastic products, textiles, electronic goods, as well as cleaning agents and cosmetics in daily life, leading to endocrine and metabolic disorders, such as obesity, insulin resistance, impaired glucose tolerance, and diabetes. Previous studies indicated a close association between EDCs exposure and the occurrence of GDM. This review summarized the correlation between daily life exposure to EDCs and GDM, along with their potential biological mechanisms, including bisphenols, phthalates, per- and polyfluoroalkyl substances, organophosphate esters, parabens, and triclosan, aiming to provide scientific evidence for supporting the effective implementation of public health intervention measures to alleviate and prevent GDM.

Objective: To analyze the correlation between serum homocysteine (Hcy) and both folic acid (FA) and sperm DNA fragmentation index (DFI), so as to provide the evidence for male fertility assessment. Methods: Males who visited and measured the serum Hcy in the Reproductive Medicine Center of Huzhou Maternal and Child Health Care Hospital from September 2022 to September 2023 were selected as the study subjects. Sperm quality parameters and sperm DFI were analyzed by collecting sperm. Hcy and FA were measured by collecting venous blood. Participants were stratified into a high Hcy group (Hcy≥15.0 μmol/L) and a normal group (Hcy<15.0 μmol/L). The correlations between serum Hcy and FA and sperm DFI were evaluated using linear regression models. Results: A total of 173 participants were enrolled, including 39 in the high Hcy group and 134 in the normal group. The sperm concentration in the high Hcy group was significantly lower than that in the normal group [(91.77±61.11)×106/mL vs. (144.21±106.82)×106/mL, P<0.05]. No statistically significant differences were observed in semen volume, sperm motility, curvilinear velocity, straight-line velocity, average path velocity, or sperm morphology normal rate (all P>0.05). The FA level in the high Hcy group was lower than that in the normal group [(4.44±1.79) nmol/L vs. (7.64±3.68) nmol/L, P<0.05]. The sperm DFI in the high Hcy group was higher than that in the normal group [(19.21±8.85)% vs. (13.07±6.43)%, P<0.05]. Serum Hcy level showed a negative correlation with FA level (r=-0.369, P<0.05) and a positive correlation with sperm DFI (r=0.351, P<0.05). Conclusion Serum Hcy level is associated with sperm concentration, FA and sperm DFI, suggesting that serum Hcy may affect sperm quality.

Objective: To investigate the characteristics of malignant tumor incidence and mortality in cancer registration areas of Zhejiang Province in 2021. Methods: Based on the 2021 cancer registration data from 22 national cancer registries in Zhejiang Province, the crude incidence, crude mortality, and cumulative rate for 0 to 74 years were calculated. Age standardized was performed using the age composition of the standard population from the Fifth National Population Census in 2000 and Segi's world standard population. The incidence and mortality characteristics of malignant tumor in different genders, urban/rural areas and ages were described. The order of crude incidence and mortality of malignant tumor were analyzed. Results: In 2021, there were 116 639 new malignant tumor cases in Zhejiang Province. The crude, Chinese population standardized, and world population-standardized incidences were 530.93/100 000, 304.83/100 000, and 288.20/100 000, respectively. The cumulative incidence for 0 to 74 years was 31.92%. There were 40 475 death cases. The crude, Chinese population-standardized, and world population-standardized mortalities were 184.24/100 000, 79.40/100 000, and 78.97/100 000, respectively. The cumulative mortality for 0 to 74 years was 8.37%. The Chinese population-standardized incidence for males and females were 286.34/100 000 and 323.45/100 000, respectively, and the Chinese population-standardized mortality were 106.25/100 000 and 54.17/100 000, respectively. The Chinese population-standardized incidence for urban and rural were 316.85/100 000 and 285.11/100 000, respectively, and the Chinese population-standardized mortality were 75.59/100 000 and 85.48/100 000, respectively. The crude incidence and crude mortality of malignant tumor both increased with age, peaking in the groups aged 80-<80 and ≥85 years at 1 845.06/100 000 and 1 656.88/100 000, respectively. The top ten malignant tumors with the highest crude incidence were, in descending order: lung cancer, thyroid cancer, breast cancer, prostate cancer, colorectal cancer, gastric cancer, liver cancer, cervical cancer, lymphoma, and brain tumors. These accounted for 80.34% of all new malignant tumor cases. The top ten malignant tumors with the highest crude mortality were, in descending order: lung cancer, liver cancer, colorectal cancer, gastric cancer, pancreatic cancer, prostate cancer, breast cancer, esophageal cancer, lymphoma, and gallbladder cancer. These accounted for 82.26% of all malignant tumor deaths. Conclusions In 2021, the cancer registration areas of Zhejiang Province were characterized by a relatively high malignant tumor incidence and a comparatively low mortality compared to national data. Males and the elderly emerged as key populations for targeted prevention and control. It is recommended to enhance screening, early diagnosis, and early treatment for lung cancer, thyroid cancer, prostate cancer, breast cancer, and gastric cancer malignancies.

OBJECTIVE: To analyze the rules of moxibustion for low back pain by ZHOU Meisheng by using data mining and knowledge graph technology. METHODS: Taking the medical cases of moxibustion for low back pain from ZHOU Meisheng's legacy manuscripts and existing works as the research objects, information on disease types, symptoms, tongue manifestations, pulse conditions, syndrome patterns, moxibustion methods and acupoints were collected. Frequency statistics and community analysis were conducted by the ancient and modern medical record cloud platform V 2.3.7, cluster analysis of high-frequency acupoints was performed by SPSS26.0, association rule analysis of high-frequency acupoints was performed by SPSS Modeler 18.0, and the generated linked data were imported into Cytoscape 3.9.1 for complex network analysis. Knowledge graph of moxibustion for low back pain by ZHOU Meisheng was constructed based on the results of data mining. The data storage and display of knowledge graph were realized through the Neo4j 3.5.25 graph database, and the Cypher query language was used for knowledge graph retrieval and discovery. RESULTS: A total of 219 medical cases were collected, involving 14 disease types, 85 related clinical symptoms, 5 related TCM syndrome types, and 6 moxibustion methods. The acupoints were mostly attributed to the governor vessel, the bladder meridian of foot-taiyang, non-meridian and non-acupoint areas. The core prescription of acupoints derived from complex network analysis included tender points, Shenshu (BL23), Jinsuo (GV8), Yinjiao (CV7), Yaoyangguan (GV3), Yanglingquan (GB34), which were largely coincides with high-frequency acupoints. Cluster analysis obtained 4 cluster combinations. Community analysis yielded 6 communities, each corresponding to different acupoints.The constructed knowledge graph contained 187 nodes and 696 relationships, by retrieving clinical elements related to low back pain, the disease-moxibustion association graph, disease-acupoint association graph, accompanying symptom-acupoint association graph and syndrome type-matching point association graph were obtained. CONCLUSION When treating low back pain with moxibustion, ZHOU Meisheng adopts the principle of promoting circulation, distinguishing diseases to determine the treatment, selecting acupoints according to the diseases, and matching points according to the symptoms.And taking tender points, Shenshu (BL23), Jinsuo (GV8), Yinjiao (CV7), Yaoyangguan (GV3), Yanglingquan (GB34) as core acupoints, combined with tenderness point selection, acupoint selection based on meridian and zangfu syndrome differentiation, "sunshine area" acupoint selection, yin-yang acupoint matching. Additionally, he skillfully employs special points, such as Zhongzhu (KI15) and ear tips, pays attention to the reform of moxibustion tools, and innovates the moxibustion techniques, using distinctive moxibustion tools and methods to treat low back pain.
Moxibustion/methods* ; Humans ; Data Mining ; Low Back Pain/history* ; Acupuncture Points ; History, Ancient ; Female ; China ; Male ; Adult ; Middle Aged