1.Analysis of risk factors and construction of risk prediction model for batroxobin-related severe hypofibrinogenemia
Le CAI ; Yuqing ZHAO ; Jiazhu CUI ; Xiao WEN ; Daihong GUO ; Man ZHU
China Pharmacy 2026;37(4):462-467
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.
2.Establishment of a high-risk medication list and preventive and therapeutic measures for drug-induced hypofi-brinogenemia based on the Delphi method
Xiao WEN ; Le CAI ; Ning LIU ; Ao GAO ; Man ZHU
China Pharmacy 2026;37(7):848-853
OBJECTIVE To establish a high-risk medication list and preventive and therapeutic measures for drug-induced hypofibrinogenemia, and to provide a reference for the prevention and treatment of this condition. METHODS By integrating domestic and international case reports, retrospective case-control studies, and spontaneous adverse drug reaction reporting databases, 19 domestically marketed high-risk drugs for drug-induced hypofibrinogenemia were identified. Based on the clinical characteristics and mechanisms of these drugs, relevant risk factors were systematically reviewed, and existing treatment options were summarized, leading to the preliminary development of recommended preventive and therapeutic measures. A two-round Delphi consultation was conducted to evaluate, revise, and ultimately reach consensus on the preliminary findings, using a mean importance score of ≥3.5 points for indicators and a coefficient of variation <0.3 as screening criteria. RESULTS The coefficient of expert authority for both rounds of expert consultation was 0.904. In the first round, the Kendall coordination coefficients (Kendall’s W ) for the high-risk medication list and the proposed preventive and therapeutic measures were 0.390 and 0.223 ( P <0.05), respectively. In the second round, the Kendall’s W were 0.227 and 0.200 ( P <0.05), respectively. After two rounds of expert consultation and discussion, 11 high-risk drugs for drug-induced hypofibrinogenemia, represented by hemocoagulase and certain anti-infective agents, were ultimately identified, along with 5 preventive and therapeutic measures spanning the entire process of “pre-medication assessment, intra-medication monitoring, and bleeding event management”. CONCLUSIONS This study has established a scientific and reliable high-risk medication list, and corresponding preventive and therapeutic measures for drug-induced hypofibrinogenemia, providing a theoretical basis and practical support for the early identification, stratified management, and precise intervention of this condition.
3.Identification of core genes of osteoarthritis by bioinformatics
Xuekun ZHU ; Heng LIU ; Hui FENG ; Yunlong GAO ; Lei WEN ; Xiaosong CAI ; Ben ZHAO ; Min ZHONG
Chinese Journal of Tissue Engineering Research 2025;29(3):637-644
BACKGROUND:At present,osteoarthritis has become a major disease affecting the quality of life of the elderly,and the therapeutic effect is poor,often focusing on preventing the disease process,and the pathogenesis of osteoarthritis is still not fully understood.Bioinformatics analysis was carried out to explore the main pathogenesis of osteoarthritis and related mechanisms of gene coding regulation. OBJECTIVE:To screen core differential genes with a major role in osteoarthritis by gene expression profiling. METHODS:Datasets were downloaded from the Gene Expression Omnibus(GEO):GSE114007,GSE117999,and GSE129147.Differential genes in the GSE114007 and GSE117999 data collections were screened using R software,performing differential genes to weighted gene co-expression network analysis.The module genes most relevant to osteoarthritis were selected to perform protein interaction analysis.Candidate core genes were selected using the cytocape software.The candidate core genes were subsequently subjected to least absolute shrinkage and selection operator regression and COX analysis to identify the core genes with a key role in osteoarthritis.The accuracy of the core genes was validated using an external dataset,GSE129147. RESULTS AND CONCLUSION:(1)A total of 477 differential genes were identified,265 differential genes associated with osteoarthritis were obtained by weighted gene co-expression network analysis,and 8 candidate core genes were identified.The least absolute shrinkage and selection operator regression analysis finally yielded a differential gene ASPM with core value that was externally validated.(2)It is concluded that abnormal gene ASPM expression screened by bioinformatics plays a key central role in osteoarthritis.
4.Effect of Yiqi Yangyin Jiedu Prescription on sPD-L1 in Peripheral Blood of Patients Treated with EGFR-TKIs and Prognosis Analysis
Liping SHEN ; Yuqing CAI ; Yanping WEN ; Yi JIANG ; Lingshuang LIU
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(1):219-226
ObjectiveTo observe the prognosis effect of soluble programmed death ligand-1(sPD-L1) in treating patients with advanced lung adenocarcinoma treated with epidermal growth factor receptor-tyrosine kinase inhibitors(EGFR-TKIs) and the influence of Yiqi Yangyin Jiedu prescription. MethodA prospective cohort-controlled study was conducted to enroll patients treated with EGFR-TKIs in the first line of treatment,who were admitted to the Oncology Department of Longhua Hospital and Shanghai Chest Hospital from May 1st, 2021 to June 30th, 2023, and they were evaluated as non-progressive and identified with deficiency of Qi and Yin after one month of treatment. The patients were divided into an exposed group (EGFR-TKIs combined with Yiqi Yangyin Jiedu prescription) and a non-exposed group (EGFR-TKIs alone)according to whether or not they were treated with Yiqi Yangyin Jiedu prescription and were treated until disease progression, or death and intolerable adverse reactions occurred. The enzyme-linked immunosorbent assay (ELISA) was applied to detect the level of sPD-L1 in patients at the time of enrollment and disease progression,and Cox risk proportionality model was used to analyze the independent prognostic factors affecting disease progression of patients treated with EGFR-TKIs. ResultA total of 90 patients (39 in the exposed group and 51 in the non-exposed group) undergoing disease progression after EGFR-TKI treatment were enrolled. At the time of enrolment and after disease progression,the levels of serum sPD-L1 in the 90 patients were 12.06 (27.54) ng·L-1 and 41.99 (62.93) ng·L-1,respectively. Compared with that at the time of enrollment, the serum sPD-L1 level in the 90 patients was significantly increased after disease progression (P<0.01). The serum sPD-L1 level in patients in the exposed group was 12.27 (24.78) ng·L-1 and 29.57 (61.12)ng·L-1 respectively at the time of enrolment and after disease progression. In the non-exposed group, patients had serum sPD-L1 levels of 11.81 (28.46) ng·L-1 and 49.54 (74.12) ng·L-1 respectively at the time of enrolment and after disease progression. Compared with that at the time of enrollment, the serum sPD-L1 level in the two groups of patients was significantly increased after disease progression (P<0.01). In addition, compared with that in the non-exposed group, the sPD-L1 level in the exposed group was greatly reduced after disease progression(P<0.01). Cox multifactorial analysis showed that sPD-L1 level and age at the time of enrolment were associated with patients' progression-free survival(PFS),and that low levels of sPD-L1 (<12.06 ng·L-1) prolonged the PFS and reduced the risk of disease progression in patients treated with EGFR-TKIs compared with high levels of sPD-L1. ConclusionElevated sPD-L1 level is a poor prognostic factor for the long-term efficacy of EGFR-TKIs,and treatment with Yiqi Yangiin Jiedu prescription can down-regulate sPD-L1 level of patients treated with EGFR-TKIs.
5.Effects of honey-processed Astragalus on energy metabolism and polarization of RAW264.7 cells
Hong-chang LI ; Ke PEI ; Wang-yang XIE ; Xiang-long MENG ; Zi-han YU ; Wen-ling LI ; Hao CAI
Acta Pharmaceutica Sinica 2025;60(2):459-470
In this study, RAW264.7 cells were employed to investigate the effects of honey-processed
6.Study of adsorption of coated aldehyde oxy-starch on the indexes of renal failure
Qian WU ; Cai-fen WANG ; Ning-ning PENG ; Qin NIE ; Tian-fu LI ; Jian-yu LIU ; Xiang-yi SONG ; Jian LIU ; Su-ping WU ; Ji-wen ZHANG ; Li-xin SUN
Acta Pharmaceutica Sinica 2025;60(2):498-505
The accumulation of uremic toxins such as urea nitrogen, blood creatinine, and uric acid of patients with renal failure
7.Investigation on the mechanisms of Colquhounia Root Tablets in reversing vascular endothelial cell dysfunction of rheumatoid arthritis via modulating NOD2/SMAD3/VEGFA signaling axis
Bing-bing CAI ; Ya-wen CHEN ; Tao LI ; Yuan ZENG ; Yan-qiong ZHANG ; Na LIN ; Xia MAO ; Ya LIN
Acta Pharmaceutica Sinica 2025;60(2):397-407
Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by synovial inflammation, joint destruction, and functional impairment. Angiogenesis plays a key role in the pathological progression of RA with dysfunction of endothelial cells to promote synovial inflammation, sustain pannus formation, subsequently leading to joint damage. Colquhounia Root Tablets (CRT), a Chinese patent drug, has shown a satisfying clinical efficacy in treating RA, while the underlying mechanism by which CRT inhibits RA-associated angiogenesis remains unclear. In this study, we applied a research approach combining transcriptomic data analysis, bio-network mapping, and
8.Design, synthesis and anti-Alzheimer's disease activity evaluation of cinnamyl triazole compounds
Wen-ju LEI ; Zhong-di CAI ; Lin-jie TAN ; Mi-min LIU ; Li ZENG ; Ting SUN ; Hong YI ; Rui LIU ; Zhuo-rong LI
Acta Pharmaceutica Sinica 2025;60(1):150-163
19 cinnamamide/ester-triazole compounds were designed, synthesized and evaluated for their anti-Alzheimer's disease (AD) activity. Among them, compound
9.Literature analysis of clinical features and risk factors of drug-induced hypofibrinogenemia
Xiao WEN ; Le CAI ; Ao GAO ; Man ZHU
China Pharmacy 2025;36(13):1648-1654
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.
10.Diagnosis and treatment of colorectal liver metastases: Chinese expert consensus-based multidisciplinary team (2024 edition).
Wen ZHANG ; Xinyu BI ; Yongkun SUN ; Yuan TANG ; Haizhen LU ; Jun JIANG ; Haitao ZHOU ; Yue HAN ; Min YANG ; Xiao CHEN ; Zhen HUANG ; Weihua LI ; Zhiyu LI ; Yufei LU ; Kun WANG ; Xiaobo YANG ; Jianguo ZHOU ; Wenyu ZHANG ; Muxing LI ; Yefan ZHANG ; Jianjun ZHAO ; Aiping ZHOU ; Jianqiang CAI
Chinese Medical Journal 2025;138(15):1765-1768

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