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.NAD+ metabolism in cardiovascular diseases.
Zhao-Zhi WEN ; Yi-Hang YANG ; Dong LIU ; Chong-Xu SHI
Acta Physiologica Sinica 2025;77(2):345-360
Cardiovascular diseases (CVDs) are the leading cause of death worldwide. Nicotinamide adenine dinucleotide (NAD+) is a central and pleiotropic metabolite involved in multiple cellular energy metabolism, such as cell signaling, DNA repair, protein modifications, and so on. Evidence suggests that NAD+ levels decline with age, obesity, and hypertension, which are all significant CVD risk factors. In addition, the therapeutic elevation of NAD+ levels reduces chronic low-grade inflammation, reactivates autophagy and mitochondrial biogenesis, and enhances antioxidation and metabolism in vascular cells of humans with vascular disorders. In preclinical animal models, NAD+ boosting also extends the health span, prevents metabolic syndrome, and decreases blood pressure. Moreover, NAD+ storage by genetic, pharmacological, or natural dietary NAD+-increasing strategies has recently been shown to be effective in improving the pathophysiology of cardiac and vascular health in different animal models and humans. Here, we discuss NAD+-related mechanisms pivotal for vascular health and summarize recent research on NAD+ and its association with vascular health and disease, including hypertension, atherosclerosis, and coronary artery disease. This review also assesses various NAD+ precursors for their clinical efficacy and the efficiency of NAD+ elevation in the prevention or treatment of major CVDs, potentially guiding new therapeutic strategies.
Humans
;
Cardiovascular Diseases/physiopathology*
;
NAD/metabolism*
;
Animals
;
Hypertension/metabolism*
3.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 cardiopulmonary dysfunction after ligation of hemodynamically significant patent ductus arteriosus in preterm infants.
Chong-Chong LIU ; Yong LIU ; Yi ZHANG ; Dai-Cheng HAN ; Rui-Jing HE ; Shi-Wen XIA
Chinese Journal of Contemporary Pediatrics 2025;27(4):425-431
OBJECTIVES:
To investigate the risk factors for the occurrence of cardiopulmonary dysfunction following ligation of hemodynamically significant patent ductus arteriosus (hsPDA) in preterm infants.
METHODS:
A retrospective collection of clinical data was conducted on preterm infants with a gestational age of <34 weeks who were admitted to the Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology from January 2018 to August 2024. These infants underwent hsPDA ligation after 1-2 courses of failed ibuprofen treatment. Based on the occurrence of blood pressure changes and oxygenation or ventilation failure postoperatively, the infants were divided into a cardiopulmonary dysfunction group (19 cases) and a non-cardiopulmonary dysfunction group (40 cases). Binary logistic regression analysis was performed to explore risk factors for postoperative cardiopulmonary dysfunction.
RESULTS:
Binary logistic regression analysis indicated that a faster average weight gain rate preoperatively and low levels of free triiodothyronine (FT3) within one week before surgery were risk factors for cardiopulmonary dysfunction following hsPDA ligation (P<0.05). Receiver operating characteristic curve analysis showed that an average weight gain rate >11.45 g/(kg·d) and FT3 levels <2.785 pmol/L within one week before surgery had predictive value for postoperative cardiopulmonary dysfunction (P<0.05). The combination of these two indicators provided the highest predictive value (P<0.05), with an area under the curve of 0.825, a sensitivity of 79%, and a specificity of 75%.
CONCLUSIONS
An average weight gain rate exceeding 11.45 g/(kg·d) and FT3 levels below 2.785 pmol/L within one week before surgery are risk factors affecting cardiopulmonary function after hsPDA ligation. Preoperative assessment and intervention should be strengthened to reduce the risk of postoperative complications.
Humans
;
Ductus Arteriosus, Patent/physiopathology*
;
Risk Factors
;
Female
;
Infant, Newborn
;
Male
;
Retrospective Studies
;
Infant, Premature
;
Ligation/adverse effects*
;
Hemodynamics
;
Postoperative Complications/etiology*
;
Logistic Models
;
Lung Diseases/etiology*
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.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.
7.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.
8.Risk factors for neonatal asphyxia and establishment of a nomogram model for predicting neonatal asphyxia in Hubei Enshi Tujia and Miao Autonomous Prefecture: a multicenter study.
Fang JIN ; Yu CHEN ; Yi-Xun LIU ; Su-Ying WU ; Chao-Ce FANG ; Yong-Fang ZHANG ; Lu ZHENG ; Li-Fang ZHANG ; Xiao-Dong SONG ; Hong XIA ; Er-Ming CHEN ; Xiao-Qin RAO ; Guang-Quan CHEN ; Qiong YI ; Yan HU ; Lang JIANG ; Jing LI ; Qing-Wei PANG ; Chong YOU ; Bi-Xia CHENG ; Zhang-Hua TAN ; Ya-Juan TAN ; Ding ZHANG ; Tie-Sheng YU ; Jian RAO ; Yi-Dan LIANG ; Shi-Wen XIA
Chinese Journal of Contemporary Pediatrics 2023;25(7):697-704
OBJECTIVES:
To investigate the risk factors for neonatal asphyxia in Hubei Enshi Tujia and Miao Autonomous Prefecture and establish a nomogram model for predicting the risk of neonatal asphyxia.
METHODS:
A retrospective study was conducted with 613 cases of neonatal asphyxia treated in 20 cooperative hospitals in Enshi Tujia and Miao Autonomous Prefecture from January to December 2019 as the asphyxia group, and 988 randomly selected non-asphyxia neonates born and admitted to the neonatology department of these hospitals during the same period as the control group. Univariate and multivariate analyses were used to identify risk factors for neonatal asphyxia. R software (4.2.2) was used to establish a nomogram model. Receiver operator characteristic curve, calibration curve, and decision curve analysis were used to assess the discrimination, calibration, and clinical usefulness of the model for predicting the risk of neonatal asphyxia, respectively.
RESULTS:
Multivariate logistic regression analysis showed that minority (Tujia), male sex, premature birth, congenital malformations, abnormal fetal position, intrauterine distress, maternal occupation as a farmer, education level below high school, fewer than 9 prenatal check-ups, threatened abortion, abnormal umbilical cord, abnormal amniotic fluid, placenta previa, abruptio placentae, emergency caesarean section, and assisted delivery were independent risk factors for neonatal asphyxia (P<0.05). The area under the curve of the model for predicting the risk of neonatal asphyxia based on these risk factors was 0.748 (95%CI: 0.723-0.772). The calibration curve indicated high accuracy of the model for predicting the risk of neonatal asphyxia. The decision curve analysis showed that the model could provide a higher net benefit for neonates at risk of asphyxia.
CONCLUSIONS
The risk factors for neonatal asphyxia in Hubei Enshi Tujia and Miao Autonomous Prefecture are multifactorial, and the nomogram model based on these factors has good value in predicting the risk of neonatal asphyxia, which can help clinicians identify neonates at high risk of asphyxia early, and reduce the incidence of neonatal asphyxia.
Infant, Newborn
;
Humans
;
Male
;
Pregnancy
;
Female
;
Nomograms
;
Retrospective Studies
;
Cesarean Section
;
Risk Factors
;
Asphyxia Neonatorum/etiology*
9.Evaluation of metoprolol standard dosing pathway in Chinese patients with acute coronary syndrome: a prospective multicenter single-arm interventional study.
Xiao-Yun YIN ; Yun-Mei ZHANG ; Ai-Dong SHEN ; Jing-Ping WANG ; Zhe-Xun LIAN ; Yi-Bing SHAO ; Wen-Qi ZHANG ; Shu-Ying ZHANG ; Yang ZHENG ; Kang CHENG ; Biao XU ; Cheng-Xing SHEN ; Rong-Chong HUANG ; Jin-Cheng GUO ; Guo-Sheng FU ; Dong-Kai SHAN ; Dan-Dan LI ; Yun-Dai CHEN
Journal of Geriatric Cardiology 2023;20(4):256-267
OBJECTIVE:
To evaluate the feasibility and tolerability of metoprolol standard dosing pathway (MSDP) in Chinese patients with acute coronary syndrome (ACS).
METHODS:
In this multicenter, prospective, open label, single-arm and interventional study that was conducted from February 2018 to April 2019 in fifteen Chinese hospitals. A total of 998 hospitalized patients aged ≥ 18 years and diagnosed with ACS were included. The MSDP was applied to all eligible ACS patients based on the standard treatment recommended by international guidelines. The primary endpoint was the percentage of patients achieving the target dose at discharge (V2). The secondary endpoints included the heart rate and blood pressure at V2 and four weeks after discharge (V4), and percentage of patients experiencing bradycardia (heart rate < 50 beats/min), hypotension (blood pressure < 90/60 mmHg) and transient cardiac dysfunction at V2 and V4.
RESULTS:
Of the 998 patients, 29.46% of patients achieved the target dose (≥ 95 mg/d) at V2. The total population was divided into two groups: target group (patients achieving the target dose at V2) and non-target group (patients not achieving the target dose at V2). There was significant difference in the reduction of heart rate from baseline to discharge in the two groups (-4.97 ± 11.90 beats/min vs. -2.70 ± 9.47 beats/min, P = 0.034). There was no significant difference in the proportion of bradycardia that occurred in the two groups at V2 (0 vs. 0, P = 1.000) and V4 (0.81% vs. 0.33%, P = 0.715). There was no significant difference in the proportion of hypotension between the two groups at V2 (0.004% vs. 0.004%, P = 1.000) and V4 (0 vs. 0.005%, P = 0.560). No transient cardiac dysfunction occurred in two groups during the study. A total of five adverse events (1.70%) and one serious adverse event (0.34%) were related to the pathway in target group.
CONCLUSIONS
In Chinese ACS patients, the feasibility and tolerability of the MSDP have been proved to be acceptable.
10.Chemical constituents of Helleborus thibetanus.
Yu-Ze LI ; Dong-Dong ZHANG ; Wen-Li HUANG ; Yi JIANG ; Hua-Wei ZHANG ; Chong DENG ; Wei WANG ; Jian-Li LIU ; Xiao-Mei SONG
China Journal of Chinese Materia Medica 2023;48(23):6408-6413
The chemical constituents of Helleborus thibetanus were isolated and purified by silica gel column chromatography, Sephadex LH-20 gel column chromatography, and semi-preparative RP-HPLC, and the structures of all compounds were identified by modern spectrographic technology(MS, NMR). The MTT method was used to measure the cytotoxicity of compounds 1-8. Twelve compounds were isolated from the roots and rhizomes of H. thibetanus and were identified as(25R)-22β,25-expoxy-26-[(O-β-D-glucopyranosyl)oxy]-1β,3β-dihydroxyfurosta-5-en(1), β-sitosterol myristate(2), β-sitosterol lactate(3), β-sitosterol 3-O-β-D-glucopyrannoside(4), 4,6,8-trihydroxy-3,4-dihydronaphthalen-1(2H)-one(5), 1,3,5-trimethoxybenzene(6), 7,8-dimethylbenzo pteridine-2,4(1H,3H)-dione(7), 1H-indole-3-carboxylic acid(8), p-hydroxy cinnamic acid(9), lauric acid(10), n-butyl α-L-arabinofuranoside(11) and methyl-α-D-fructofuranoside(12), respectively. Among them, compound 1 is a new compound and named thibetanoside L; compounds 2, 5-8, 11 are first isolated from the family Ranunculaceae; compound 12 is isolated from the genus Helleborus for the first time. The results of MTT assay showed that the IC_(50) values of compounds 1-8 against HepG2 and HCT116 cells were greater than 100 μmol·L~(-1).
Helleborus/chemistry*
;
Molecular Structure
;
Plant Roots/chemistry*
;
Rhizome/chemistry*
;
Magnetic Resonance Spectroscopy

Result Analysis
Print
Save
E-mail