1.Early predictors of rescue therapy and colectomy in acute severe ulcerative colitis.
Samuel Jun Ming LIM ; Kaina CHEN ; Yi Yuan TAN ; Shu Wen TAY ; Thomson Chong Teik LIM ; Ennaliza SALAZAR ; Webber Pak-Wo CHAN ; Malcolm Teck Kiang TAN
Singapore medical journal 2025;66(8):449-456
INTRODUCTION:
Acute severe ulcerative colitis (ASUC) is a significant cause of disease morbidity. One-third of patients with ASUC are steroid refractory. Rescue therapy may not successfully induce remission, necessitating colectomy. We aimed to identify predictors of rescue therapy and colectomy in ASUC assessed within 24 h of admission for early risk stratification.
METHODS:
We conducted a retrospective cohort study of 58 admissions for ASUC among 47 patients from August 2002 to January 2022. Serum biomarkers assessed were measured on admission. Primary outcomes were the need for rescue therapy during the same admission and colectomy within 1 year of admission.
RESULTS:
Rescue therapy (all with infliximab) was given in 20 (34.5%) of the admissions. Colectomy was done within 1 year for nine (15.5%) of the admissions. An elevated C-reactive protein (CRP) of >30 mg/L (relative risk [RR] 1.63), a CRP-albumin ratio of >0.85 (RR 1.63), and a composite factor of both CRP > 30 mg/L and age ≥60 years (RR 2.37) were significantly associated with the need for rescue therapy. Hypoalbuminaemia ≤ 25 g/L (RR 4.35) and the use of biologics at presentation (RR 1.54) were significantly associated with colectomy within 1 year of admission, while a CRP of ≥ 80 mg/L was a significant protective factor (RR 0.70).
CONCLUSION
Patients with ASUC who have elevated CRP or CRP-albumin ratio on admission should be considered at risk for steroid-refractory disease. Those with hypoalbuminaemia on admission and using biologics at presentation are more likely to require colectomy in the first year after admission for ASUC.
Humans
;
Colitis, Ulcerative/therapy*
;
Colectomy
;
Retrospective Studies
;
Male
;
Female
;
Middle Aged
;
Adult
;
C-Reactive Protein/metabolism*
;
Infliximab/therapeutic use*
;
Biomarkers/blood*
;
Acute Disease
;
Aged
;
Severity of Illness Index
;
Treatment Outcome
2.Phase changes and quantity-quality transfer of raw material, calcined decoction pieces, and standard decoction of Ostreae Concha (Ostrea rivularis).
Hong-Yi ZHANG ; Jing-Wei ZHOU ; Jia-Wen LIU ; Wen-Bo FEI ; Shi-Ru HUANG ; Yu-Mei CHEN ; Chong-Yang LI ; Fei-Fei LI ; Qiao-Ling MA ; Fu WANG ; Yuan HU ; You-Ping LIU ; Shi-Lin CHEN ; Lin CHEN ; Hong-Ping CHEN
China Journal of Chinese Materia Medica 2025;50(5):1209-1223
The phase changes and quantity-quality transfer of 17 batches of Ostreae Concha(Ostrea rivularis) during the raw material-calcined decoction pieces-standard decoction process were analyzed. The content of calcium carbonate(CaCO_3), the main component, was determined by chemical titration, and the extract yield and transfer rate were calculated. The CaCO_3 content in the raw material, calcined decoction pieces, and standard decoction was 94.39%-98.80%, 95.03%-99.22%, and 84.58%-90.47%, respectively. The process of raw material to calcined decoction pieces showed the yield range of 96.85% to 98.55% and the CaCO_3 transfer rate range of 96.92% to 99.27%. The process of calcined decoction pieces to standard decoction showed the extract yield range of 2.86% to 5.48% and the CaCO_3 transfer rate range of 2.59% to 5.13%. The results of X-ray fluorescence(XRF) assay showed that the raw material, calcined decoction pieces, and standard decoction mainly contained Ca, Na, Mg, Si, Br, Cl, Al, Fe, Cr, Mn, and K. The chemometric results showed an increase in the relative content of Cr, Fe, and Si from raw material to calcined decoction pieces and an increase in the relative content of Mg, Al, Br, K, Cl, and Na from calcined decoction pieces to standard decoction. X-ray diffraction(XRD) was employed to establish XRD characteristic patterns of the raw material, calcined decoction pieces, and standard decoction. The XRD results showed that the main phase of all three was calcite, and no transformation of crystalline form or generation of new phase was observed. Fourier transform infrared spectroscopy(FTIR) was employed to establish the FTIR characteristic spectra of the raw material, calcined decoction pieces, and standard decoction. The FTIR results showed that the raw material had internal vibrations of O-H, C-H, C=O, C-O, and CO■ groups. Due to the loss of organic matter components after calcination, no information about the vibrations of C-H, C=O, and C-O groups was observed in the spectra of calcined decoction pieces and standard decoction. In summary, this study elucidated the quantity-quality transfer and phase changes in the raw material-calcined decoction pieces-standard decoction process by determining the CaCO_3 content, calculating the extract yield and transfer rate, and comparing the element changes, FTIR characteristic spectra, and XRD characteristic pattern. The results were reasonable and reliable, laying a foundation for the subsequent process research and quality control of the formula granules of calcined Ostreae Concha(O. rivularis Gould), and providing ideas and methods for the quality control of the whole process of raw material-decoction pieces-standard decoction-formula granules of Ostreae Concha and other testacean traditional Chinese medicine.
Drugs, Chinese Herbal/isolation & purification*
;
Calcium Carbonate/analysis*
;
Quality Control
4.Risk factors for bronchopulmonary dysplasia in preterm infants and establishment of a prediction model
Yi-Bo LIU ; Chong-Bing YAN ; Yuan-Yang ZHANG ; Bo-Wen WENG ; Cheng CAI
Chinese Journal of Contemporary Pediatrics 2024;26(11):1148-1154
Objective To investigate the risk factors for bronchopulmonary dysplasia (BPD) in preterm infants,and to establish a risk prediction model. Methods A total of 120 preterm infants who were admitted to the neonatal intensive care unit of Shanghai Children's Hospital from January to December 2022 were included. According to the diagnostic criteria for BPD released by the National Institute of Child Health and Human Development in 2018,they were divided into a non-BPD group (84 infants) and a BPD group (36 infants). The clinical data of the infants and their mothers were compared between the two groups. The univariate analysis and the stepwise multivariate regression analysis were used to identify the risk factors for BPD and establish a risk prediction model. Results The results showed that a gestational age of<28 weeks,duration of noninvasive respiratory support,comorbidity with infectious pneumonia,and chorioamnionitis in the mother were independent risk factors for BPD in preterm infants (P<0.05). A nomogram model for predicting the development of BPD was established based on the risk factors,with an area under the receiver operating characteristic curve of 0.93,and the calibration curve of this nomogram had a slope of about 1. The goodness-of-fit test indicated the model fitted well (x2=8.287,P=0.406). Conclusions A gestational age of<28 weeks,duration of noninvasive respiratory support,comorbidity with infectious pneumonia,and chorioamnionitis in the mother are independent risk factors for BPD in preterm infants.
5.Validation and evaluation of the predictive accuracy of the caspofungin blood concentration prediction model in patients with fungal infections in the haematology department
Dong XIE ; Chong-Wen BI ; Rong DUAN ; Yi-Hao WANG ; Heng-Jie YUAN ; Zheng-Xiang LI
The Chinese Journal of Clinical Pharmacology 2024;40(12):1822-1826
Objective To study the factors influencing the blood concentration of caspofungin(CPFG),construct a prediction model,and validate the predictive effect of the model,so as to provide reference for the individualised dosing of patients with fungal infections in haematology.Methods Seventy-five patients admitted to the Department of Haematology,General Hospital of Tianjin Medical University,who were treated with CPFG for antifungal therapy during the period of March 2021 to June 2022 were selected as the study subjects,and CPFG blood concentration monitoring was carried out to explore the influencing factors of CPFG blood concentration and to construct a prediction model accordingly.Hosmer-Lemeshow(H-L)was used to test the goodness-of-fit of the model,and another 30 patients were selected as the verification group,and the predictive effect of the model was verified by the receiver's operating characteristics(ROC)curve.Results The mean blood concentrations of the patients at 0.5,9 and 24 h were(12.54±4.38),(6.80±2.76),(4.13±2.16)μg·mL-1,and the mean AUC0-24h were(152.05±57.60)μg·mL-1·h.AUC0-24h was lower than the reference value(98 μg·mL-1·h)in two patients.The results of correlation analysis showed that gender showed a correlation with 0.5 h blood concentration(P<0.05),and there was no correlation with the rest of the two time points blood concentration and AUC0-24h(P>0.05).Body weight and albumin(Alb)concentration showed correlation with 0.5,9,24 h blood drug concentration and AUC0-24 h(P<0.05),and the rest of the indicators showed no correlation with blood drug concentration and AUC0_24h at each time point(P>0.05).The results of multifactorial analysis showed that the factors influencing the patients'0.5 h blood concentration were gender,Alb concentration and body weight,and the factors influencing the 9 and 24 h blood concentration and AUC0-24h were Alb concentration and body weight(P<0.05).Correlation analysis showed that the daily dose was positively correlated with the plasma concentration of CPFG at 0.5,9 and 24 h and AUC0-24h(P<0.05).The results of multivariate analysis showed that the daily dose was also one of the influencing factors of the plasma concentration of CPFG(P<0.05).ROC curve shows that the model has good prediction ability.Conclusion Body weight and Alb are significantly associated with CPFG blood concentrations and area under the drug-time curve,which can be used as a basis for preventive risk avoidance.
6.Artificial intelligence predicts direct-acting antivirals failure among hepatitis C virus patients: A nationwide hepatitis C virus registry program
Ming-Ying LU ; Chung-Feng HUANG ; Chao-Hung HUNG ; Chi‐Ming TAI ; Lein-Ray MO ; Hsing-Tao KUO ; Kuo-Chih TSENG ; Ching-Chu LO ; Ming-Jong BAIR ; Szu-Jen WANG ; Jee-Fu HUANG ; Ming-Lun YEH ; Chun-Ting CHEN ; Ming-Chang TSAI ; Chien-Wei HUANG ; Pei-Lun LEE ; Tzeng-Hue YANG ; Yi-Hsiang HUANG ; Lee-Won CHONG ; Chien-Lin CHEN ; Chi-Chieh YANG ; Sheng‐Shun YANG ; Pin-Nan CHENG ; Tsai-Yuan HSIEH ; Jui-Ting HU ; Wen-Chih WU ; Chien-Yu CHENG ; Guei-Ying CHEN ; Guo-Xiong ZHOU ; Wei-Lun TSAI ; Chien-Neng KAO ; Chih-Lang LIN ; Chia-Chi WANG ; Ta-Ya LIN ; Chih‐Lin LIN ; Wei-Wen SU ; Tzong-Hsi LEE ; Te-Sheng CHANG ; Chun-Jen LIU ; Chia-Yen DAI ; Jia-Horng KAO ; Han-Chieh LIN ; Wan-Long CHUANG ; Cheng-Yuan PENG ; Chun-Wei- TSAI ; Chi-Yi CHEN ; Ming-Lung YU ;
Clinical and Molecular Hepatology 2024;30(1):64-79
Background/Aims:
Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy.
Methods:
We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment.
Results:
The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset.
Conclusions
Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.
7.Expression of CD24 gene in human malignant pleural mesothelioma and its relationship with prognosis.
Bin LI ; Chong Xi ZHOU ; Yuan Qian PU ; Lu QIU ; Wen MEI ; Wei XIONG
Chinese Journal of Industrial Hygiene and Occupational Diseases 2023;41(3):168-176
Objective: To investigate the expression of CD24 gene in human malignant pleural mesothelioma (MPM) cells and tissues, and evaluate its relationship with clinicopathological characteristics and clinical prognosis of MPM patients. Methods: In February 2021, UALCAN database was used to analyze the correlation between CD24 gene expression and clinicopathological characteristics in 87 cases of MPM patients. The TIMER 2.0 platform was used to explore the relationship between the expression of CD24 in MPM and tumor immune infiltrating cells. cBioportal online tool was used to analyze the correlation between CD24 and MPM tumor marker gene expression. RT-qPCR was used to analyze the expressions of CD24 gene in human normal pleural mesothelial cell lines LP9 and MPM cell lines NCI-H28 (epithelial type), NCI-H2052 (sarcoma type), and NCI-H2452 (biphasic mixed type). RT-qPCR was performed to detect the expressions of CD24 gene in 18 cases of MPM tissues and matched normal pleural tissues. The expression difference of CD24 protein in normal mesothelial tissue and MPM tissue was analyzed by immunohistochemistry. A Kaplan-Meier model was constructed to explore the influence of CD24 gene expression on the prognosis of MPM patients, and Cox regression analysis of prognostic factors in MPM patients was performed. Results: The CD24 gene expression without TP53 mutation MPM patients was significantly higher than that of patients in TP53 mutation (P<0.05). The expression of CD24 gene in MPM was positively correlated with B cells (r(s)=0.37, P<0.001). The expression of CD24 gene had a positive correlation with the expressions of thrombospondin 2 (THBS2) (r(s)=0.26, P<0.05), and had a negative correlation with the expression of epidermal growth factor containing fibulin like extracellular matrix protein 1 (EFEMP1), mesothelin (MSLN) and calbindin 2 (CALB2) (r(s)=-0.31, -0.52, -0.43, P<0.05). RT-qPCR showed that the expression level of CD24 gene in MPM cells (NCI-H28, NCI-H2052 and NCI-H2452) was significantly higher than that in normal pleural mesothelial LP9 cells. The expression level of CD24 gene in MPM tissues was significantly higher than that in matched normal pleural tissues (P<0.05). Immunohistochemistry showed that the expressions of CD24 protein in epithelial and sarcoma MPM tissues were higher than those of matched normal pleural tissues. Compared with low expression of CD24 gene, MPM patients with high expression of CD24 gene had lower overall survival (HR=2.100, 95%CI: 1.336-3.424, P<0.05) and disease-free survival (HR=1.800, 95%CI: 1.026-2.625, P<0.05). Cox multivariate analysis showed that compared with the biphasic mixed type, the epithelial type was a protective factor for the prognosis of MPM patients (HR=0.321, 95%CI: 0.172-0.623, P<0.001). Compared with low expression of CD24 gene, high expression of CD24 gene was an independent risk factor for the prognosis of MPM patients (HR=2.412, 95%CI: 1.291-4.492, P=0.006) . Conclusion: CD24 gene and protein are highly expressed in MPM tissues, and the high expression of CD24 gene suggests poor prognosis in MPM patients.
Humans
;
Mesothelioma, Malignant
;
Mesothelioma/diagnosis*
;
Lung Neoplasms/genetics*
;
Pleural Neoplasms/diagnosis*
;
Prognosis
;
Biomarkers, Tumor/analysis*
;
Extracellular Matrix Proteins
;
CD24 Antigen/genetics*
8.Reflections on supervision strategies of new Tibetan drug registration.
Dan LIANG ; Tsring PEMBA ; Jiang-Yong YU ; Jian-Yuan TANG ; Yue-Hua ZHOU ; Hua HUA ; Wei-Wu CHEN ; Yan-Ling AI ; Gang ZHOU ; Lei ZHANG ; Ting WANG ; Yong-Wen ZHANG ; Chong ZOU ; Wei-Xiong LIANG ; Jie-Lai XIA ; Nai-Qing ZHAO ; Xiao-Bo SUN ; Wei WEI ; Bao-He WANG ; Hong DING ; Guo-Chen WANG ; Tsring PUQIONG ; Phuntsok KELSNG ; Guo-Qiang WANG
China Journal of Chinese Materia Medica 2022;47(19):5383-5388
Tibetan medicine is an essential part of Chinese medicine and has unique theoretical experience and therapeutic advantages. According to the development principle of inheriting the essence, sticking to the truth, and keeping innovative, the supervision department should give clear and reasonable guidance considering the characteristics of Tibetan medicine, establish a standard system for quality control, clinical verification and evaluation, and accelerate the research and commercialization of new drugs. In view of the needs of drug supply-side reform and the current situation of Tibetan medicine and new pharmaceutical research, we ponder and provide suggestions on the confusion faced by the current supervision of Tibetan drug registration, hoping to contribute to the supervision strategy of Tibetan drug registration and the high-quality development of Tibetan medicine industry.
Tibet
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Medicine, Tibetan Traditional
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Quality Control
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Pharmaceutical Research
;
Drug Industry
9.Effectiveness of Traditional Chinese Medicine in Reducing the Positive Rate of COVID-19 Close Contacts: A Large Popula-tion Cohort Study
Xiao-Xiao WANG ; Li DOU ; Chong ZOU ; Yong-Jun WU ; Wei WANG ; Jing-Jing ZHAO ; Qian YU ; Zhao-Feng SHEN ; Ping-Min NI ; Wen ZHANG ; Ya-Wen LU ; Zhao-Qing XI ; Zhu-Yuan FANG
Journal of Nanjing University of Traditional Chinese Medicine 2022;38(12):1086-1093
OBJECTIVE Corona-virus disease 2019 (COVID-19) is an infectious disease caused by SARS-CoV-2 virus. The variant of corona-virus first identified in India, known as Delta, has become the dominant strain in China. Unfortunately, more conta-gious and unknown variants are coming, leading to a number of close contacts under quarantine. Chinese medicine (TCM) has been recommended to prevention and treatment due to the satisfactory therapeutic effects. However, the effect of TCM to decrease positive rate in close contacts remains unknown. METHODS We conducted an retrospective cohort study in Yangzhou, China to assess the effect of Chinese medicine on decreasing positive rate in close contacts under quarantine. The primary observation outcome was positive rate of Nucleic Acid Amplification Tests (NAATs). The secondary observation outcome was a composite of viral load of positive NAATs, severity levels of confirmed cases (asymptomatic, mild, moderate, or severe), daily body temperature, and levels of close contact (primary or secondary). RESULTS A total of 1286 subjects were collected, of which 1016 (79.00%) in TCM group and 270 (21.00%) in control group with 55 participants tested positive. The incidence of the primary outcome, positive rate of NAATs was significantly lower in the Chinese medicine group than in the control group, occurring in male and age≥60 years subjects. Multi-varia-ble logistic regression (excluding NO viral load) indicated that the risk of testing positive was reduced by 0.547 times in TCM groupcompared to control group. CT value of TCM group was higher than that of control group in all subjects and female subjects, and the re-sult showed statistically significant difference. CONCLUSIONS In our study involving close contacts under quarantine, Chinese medicine resulted in lower positive rate of NAATs and viral load than control.
10.Correlation of An Ultrasonic Scoring System and Intraoperative Blood Loss in Placenta Accreta Spectrum Disorders: A Retrospective Cohort Study.
Lian CHEN ; Hui Feng SHI ; Hai JIANG ; Xiao Ming SHI ; Yuan Yuan WANG ; Ai Qing ZHANG ; Yi Wen CHONG ; Yang Yu ZHAO
Biomedical and Environmental Sciences 2021;34(2):163-169
Objective:
This study aims to investigate the correlation of an ultrasonic scoring system with intraoperative blood loss (IBL) in placenta accreta spectrum (PAS) disorders.
Methods:
A retrospective cohort study was conducted between January 2015 and November 2019. Clinical data for patients with PAS have been obtained from medical records. Generalized additive models were used to explore the nonlinear relationships between ultrasonic scores and IBL. Logistic regressions were used to determine the differences in the risk of IBL ≥ 1,500 mL among groups with different ultrasonic scores.
Results:
A total of 332 patients participated in the analysis. Generalized additive models showed a significant positive correlation between score and blood loss. The amount of IBL was increased due to the rise in the ultrasonic score. All cases were divided into three groups according to the scores (low score group: ≤ 6 points,
Conclusions
The risk of blood loss equal to or greater than 1,500 mL increases further when ultrasonic score greater than or equal to 10 points, the preparation for transfusion and referral mechanism should be considered.
Adult
;
Blood Loss, Surgical/statistics & numerical data*
;
Female
;
Gestational Age
;
Humans
;
Logistic Models
;
Placenta Accreta/surgery*
;
Predictive Value of Tests
;
Pregnancy
;
Retrospective Studies
;
Risk
;
Ultrasonography, Prenatal/statistics & numerical data*

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