1.Effects of acupuncture on post-cesarean section pain.
Hung-chien WU ; Yu-chi LIU ; Keng-liang OU ; Yung-hsien CHANG ; Ching-liang HSIEH ; Angela Hsin-chieh TSAI ; Hong-te TSAI ; Tsan-hung CHIU ; Chih-jen HUNG ; Chien-chung LEE ; Jaung-geng LIN
Chinese Medical Journal 2009;122(15):1743-1748
BACKGROUNDPost-operation pain is a very subjective phenomenon. The aim of this study was to find out the effects of acupuncture or electro-acupuncture on post-cesarean pain.
METHODSSixty women, who had had spinal anesthesia during cesarean section at the Department of Obstetrics of China Medical University Hospital, were randomly assigned to the control group, the acupuncture group, and the electro-acupuncture group. After the operation, we applied subjects with acupuncture or electro-acupuncture on the bilateral acupuncture point, San Yin Jiao (Sp6), and the patient controlled analgesia (PCA). The first time of requesting morphine, the frequency of PCA demands in 24 hours, and the doses of PCA used were recorded double blindly. In addition, monitoring the subjects' vital signs, the opioid-related side effects, and the pain scores was done.
RESULTSThe results showed that the acupuncture group and the electro-acupuncture group could delay the time of requesting morphine up to 10 - 11 minutes when compared with the control group. The total dose of PCA used within the first 24 hours was 30% - 35% less in the acupuncture group and the electro-acupuncture group when compared with the control group, which was indicated in statistical significance. However, there was no significant difference between the acupuncture group and the electro-acupuncture group. The electro-acupuncture group's and the acupuncture group's pain scores were lower than the control group's within the first 2 hours. Both were statistically significant. However, two hours later, there were no significant differences of the visual analogue scale (VAS) scores between either of the treatment groups and the control group. Finally, the incidence of opioid-related side effects, such as dizziness, was less in the acupuncture group and electro-acupuncture group than in the control group.
CONCLUSIONSThis study shows that the application of acupuncture and electro-acupuncture could definitely delay the time of requesting pain relief medication after cesarean section and decrease the PCA doses used within the first 24 hours.
Acupuncture Therapy ; methods ; Adult ; Analgesics ; therapeutic use ; Cesarean Section ; Female ; Humans ; Male ; Morphine ; therapeutic use ; Pain, Postoperative ; drug therapy ; therapy ; Pregnancy
2.Differential MicroRNA Expression Profile of Human Embryonic Stem Cell-Derived Cardiac Lineage Cells.
Yoon Young KIM ; Harry MIN ; Hoon KIM ; Young Min CHOI ; Hung Ching LIU ; Seung Yup KU
Tissue Engineering and Regenerative Medicine 2017;14(2):163-169
MicroRNAs (miRNAs) are small non-coding RNA molecules that participate in transcriptional and post-transcriptional regulation of gene expression. miRNAs have numerous roles in cellular function including embryonic development. Human embryonic stem cells (hESCs) are capable of self-renewal and can differentiate into most of cell types including cardiomyocytes (CMs). These characteristics of hESCs make them considered as an important model for studying human embryonic development and tissue specific differentiation. In this study, we tried to demonstrate the profile of miRNA expression in cardiac differentiation from hESCs. To induce differentiation, we differentiated hESCs into CMs by direct differentiation method and characterized differentiated cells. To analyze the expression of miRNAs, we distinguished (days 4, 8, 12, 16, 20, 24, 28) and isolated RNAs from each differentiation stage. miRNA specific RT-qPCR was performed and the expression profile of miR-1, -30d, -133a, -143, -145, -378a, -499a was evaluated. The expression of all miRs was up-regulated at day 8. miR-143 and -145 expression was also up-regulated at the later stage of differentiation. Only miR-378a expression returned to undifferentiated hESC levels at the other stages of differentiation. In conclusion, we elucidated the expression profile of miRNAs during differentiation into cardiomyocytes from hESCs. Our findings demonstrate the expression of miRNAs was stage-dependent during differentiation and suggest that the differentiation into CMs can be regulated by miRNAs through direct or indirect pathway.
Embryonic Development
;
Female
;
Gene Expression Regulation
;
Human Embryonic Stem Cells
;
Humans*
;
Methods
;
MicroRNAs*
;
Myocytes, Cardiac
;
Pregnancy
;
RNA
;
RNA, Small Untranslated
3.Maintenance of pegylated liposomal doxorubicin/carboplatin in patients with advanced ovarian cancer: randomized study of an Asian Gynecologic Oncology Group
Chyong-Huey LAI ; Elizabeth VALLIKAD ; Hao LIN ; Lan-Yan YANG ; Shih-Ming JUNG ; Hsueh-Erh LIU ; Yu-Che OU ; Hung-Hsueh CHOU ; Cheng-Tao LIN ; Huei-Jean HUANG ; Kuan-Gen HUANG ; Jiantai QIU ; Yao-Ching HUNG ; Tzu-I WU ; Wei-Yang CHANG ; Kien-Thiam TAN ; Chiao-Yun LIN ; Angel CHAO ; Chee-Jen CHANG
Journal of Gynecologic Oncology 2020;31(1):e5-
Objectives:
An Asian Gynecologic Oncology Group phase III randomized trial was conducted to determine whether maintenance chemotherapy could improve progression-free survival (PFS) in stages III/IV ovarian cancer.
Methods:
Between 2007 and 2014, 45 newly-diagnosed ovarian cancer patients were enrolled after complete remission and randomized (1:1) to arm A (4-weekly carboplatin area under the curve 4 and pegylated liposomal doxorubicin [PLD] 30 mg/m2, n=24) for 6 cycles or arm B (observation, n=21). The primary end-point was PFS. A post hoc translational study was conducted to deep sequence BRCA/homologous recombination deficiency (HRD) genes, because BRCA/HRD mutations (BRCA/HRDm) are known to be associated with better prognosis.
Results:
Enrollment was slow, accrual was closed when 7+ years had passed. With a medianfollow-up of 88.9 months, the median PFS was significantly better in arm A (55.5 months) than arm B (9.2 months) (hazard ratio [HR]=0.40; 95% confidence interval [CI]=0.19–0.87; p=0.020), yet the median overall survival was not significantly different in arm A (not reached) than arm B (95.1 months) (p=0.148). Overall grade 3/4 adverse events were more frequent in arm A than arm B (60.9% vs 0.0%) (p<0.001). Quality of life was generally not significantly different. Distribution of BRCA1/2m or BRCA/HRDm was not significantly biased between the two arms. Wild-type BRCAon-HRD subgroup seemed to fare better with maintenance therapy (HR=0.35; 95% CI=0.11–1.18; p=0.091).
Conclusions
Despite limitations in small sample size, it suggests that maintenance carboplatin-PLD chemotherapy could improve PFS in advanced ovarian cancer.
4.Maintenance of pegylated liposomal doxorubicin/carboplatin in patients with advanced ovarian cancer: randomized study of an Asian Gynecologic Oncology Group
Chyong Huey LAI ; Elizabeth VALLIKAD ; Hao LIN ; Lan Yan YANG ; Shih Ming JUNG ; Hsueh Erh LIU ; Yu Che OU ; Hung Hsueh CHOU ; Cheng Tao LIN ; Huei Jean HUANG ; Kuan Gen HUANG ; Jiantai QIU ; Yao Ching HUNG ; Tzu I WU ; Wei Yang CHANG ; Kien Thiam TAN ; Chiao Yun LIN ; Angel CHAO ; Chee Jen CHANG
Journal of Gynecologic Oncology 2020;31(1):5-
5.Use of glecaprevir/pibrentasvir in patients with chronic hepatitis C virus infection and severe renal impairment
Desmond Y. H. YAP ; Kevin S. H. LIU ; Yu-Chun HSU ; Grace L. H. WONG ; Ming-Chang TSAI ; Chien-Hung CHEN ; Ching-Sheng HSU ; Yee Tak HUI ; Michael K. K. LI ; Chen-Hua LIU ; Yee-Man KAN ; Ming-Lung YU ; Man-Fung YUEN
Clinical and Molecular Hepatology 2020;26(4):554-561
Background/Aims:
Data on treatment efficacy and safety of glecaprevir/pibrentasvir (GLE/PIB) for chronic hepatitis C virus (HCV) infection in Asian patients with severe renal impairment are limited. This study aimed to study the treatment and side effects of GLE/PIB in these patients infected with non-1 genotype (GT) HCV.
Methods:
We prospectively recruited patients with Child’s A cirrhosis and eGFR <30 mL/min/1.73 m2 in Hong Kong and Taiwan during 2017–2018 to receive GLE/PIB treatment.
Results:
Twenty-one patients (GT2, n=7; GT3, n=6; and GT6, n=8) received GLE/PIB for 11.2±1.8 weeks. All except one were treatment-naïve. GLE/PIB was initiated in 16 patients while on dialysis (seven on peritoneal dialysis [PD] and nine on hemodialysis) and in five patients before dialysis. One patient died of PD-related peritonitis during treatment and two were lost to follow up. The SVR12 rate in the remaining 18 patients was 100%. All patients achieved undetectable levels at 4-, 12-, 24- and 48-week after treatment. Patients with deranged alanine aminotransferase showed normalization after 4 weeks and the response was sustained for 48 weeks. No significant adverse event was observed.
Conclusions
GLE/PIB treatment was associated with high efficacy and tolerability in HCV-infected patients with severe renal impairment.
6.Combined Assessment of Serum Alpha-Synuclein and Rab35 is a Better Biomarker for Parkinson's Disease
Hung Li WANG ; Chin Song LU ; Tu Hsueh YEH ; Yu Ming SHEN ; Yi Hsin WENG ; Ying Zu HUANG ; Rou Shayn CHEN ; Yu Chuan LIU ; Yi Chuan CHENG ; Hsiu Chen CHANG ; Ying Ling CHEN ; Yu Jie CHEN ; Yan Wei LIN ; Chia Chen HSU ; Huang Li LIN ; Chi Han CHIU ; Ching Chi CHIU
Journal of Clinical Neurology 2019;15(4):488-495
BACKGROUND AND PURPOSE: It is essential to develop a reliable predictive serum biomarker for Parkinson's disease (PD). The accumulation of alpha-synuclein (αSyn) and up-regulated expression of Rab35 participate in the etiology of PD. The purpose of this investigation was to determine whether the combined assessment of serum αSyn and Rab35 is a useful predictive biomarker for PD. METHODS: Serum levels of αSyn or Rab35 were determined in serum samples from 59 sporadic PD patients, 19 progressive supranuclear palsy (PSP) patients, 20 multiple system atrophy (MSA) patients, and 60 normal controls (NC). Receiver operating characteristics (ROC) curves were calculated to determine the diagnostic accuracy of αSyn or/and Rab35 in discriminating PD patients from NC or atypical parkinsonian patients. RESULTS: The levels of αSyn and Rab35 were increased in PD patients. The serum level of Rab35 was positively correlated with that of αSyn in PD patients. Compared to analyzing αSyn or Rab35 alone, the combined analysis of αSyn and Rab35 produced a larger area under the ROC curve and performed better in discriminating PD patients from NC, MSA patients, or PSP patients. When age was dichotomized at 55, 60, 65, or 70 years, the combined assessment of αSyn and Rab35 for classifying PD was better in the group below the cutoff age than in the group above the cutoff age. CONCLUSIONS: Combined assessment of serum αSyn and Rab35 is a better biomarker for discriminating PD patients from NC or atypical parkinsonian patients, and is a useful predictive biomarker for younger sporadic PD patients.
alpha-Synuclein
;
Humans
;
Multiple System Atrophy
;
Parkinson Disease
;
ROC Curve
;
Supranuclear Palsy, Progressive
7.Scaling up the in-hospital hepatitis C virus care cascade in Taiwan
Chung-Feng HUANG ; Pey-Fang WU ; Ming-Lun YEH ; Ching-I HUANG ; Po-Cheng LIANG ; Cheng-Ting HSU ; Po-Yao HSU ; Hung-Yin LIU ; Ying-Chou HUANG ; Zu-Yau LIN ; Shinn-Cherng CHEN ; Jee-Fu HUANG ; Chia-Yen DAI ; Wan-Long CHUANG ; Ming-Lung YU
Clinical and Molecular Hepatology 2021;27(1):136-143
Background/Aims:
Obstacles exist in facilitating hepatitis C virus (HCV) care cascade. To increase timely and accurate diagnosis, disease awareness and accessibility, in-hospital HCV reflex testing followed by automatic appointments and a late call-back strategy (R.N.A. model) was applied. We aimed to compare the HCV treatment rate of patients treated with this strategy compared to those without.
Methods:
One hundred and twenty-five anti-HCV seropositive patients who adopted the R.N.A. model in 2020 and another 1,396 controls treated in 2019 were enrolled to compare the gaps in accurate HCV RNA diagnosis to final treatment allocation.
Results:
The HCV RNA testing rate was significantly higher in patients who received reflex testing than in those without reflex testing (100% vs. 84.8%, P<0.001). When patients were stratified according to the referring outpatient department, a significant improvement in the HCV RNA testing rate was particularly noted in patients from non-hepatology departments (100% vs. 23.3%, P<0.001). The treatment rate in HCV RNA seropositive patients was 83% (83/100) after the adoption of the R.N.A. model, among whom 96.1% and 73.9% of patients were from the hepatology and non-hepatology departments, respectively. Compared to subjects without R.N.A. model application, a significant improvement in the treatment rate was observed for patients from non-hepatology departments (73.9% vs. 27.8%, P=0.001). The application of the R.N.A. model significantly increased the in-hospital HCV treatment uptake from 6.4% to 73.9% for patients from non-hepatology departments (P<0.001).
Conclusions
The care cascade increased the treatment uptake and set up a model for enhancing in-hospital HCV elimination.
8.Metformin and statins reduce hepatocellular carcinoma risk in chronic hepatitis C patients with failed antiviral therapy
Pei-Chien TSAI ; Chung-Feng HUANG ; Ming-Lun YEH ; Meng-Hsuan HSIEH ; Hsing-Tao KUO ; Chao-Hung HUNG ; Kuo-Chih TSENG ; Hsueh-Chou LAI ; Cheng-Yuan PENG ; Jing-Houng WANG ; Jyh-Jou CHEN ; Pei-Lun LEE ; Rong-Nan CHIEN ; Chi-Chieh YANG ; Gin-Ho LO ; Jia-Horng KAO ; Chun-Jen LIU ; Chen-Hua LIU ; Sheng-Lei YAN ; Chun-Yen LIN ; Wei-Wen SU ; Cheng-Hsin CHU ; Chih-Jen CHEN ; Shui-Yi TUNG ; Chi‐Ming TAI ; Chih-Wen LIN ; Ching-Chu LO ; Pin-Nan CHENG ; Yen-Cheng CHIU ; Chia-Chi WANG ; Jin-Shiung CHENG ; Wei-Lun TSAI ; Han-Chieh LIN ; Yi-Hsiang HUANG ; Chi-Yi CHEN ; Jee-Fu HUANG ; Chia-Yen DAI ; Wan-Long CHUNG ; Ming-Jong BAIR ; Ming-Lung YU ;
Clinical and Molecular Hepatology 2024;30(3):468-486
Background/Aims:
Chronic hepatitis C (CHC) patients who failed antiviral therapy are at increased risk for hepatocellular carcinoma (HCC). This study assessed the potential role of metformin and statins, medications for diabetes mellitus (DM) and hyperlipidemia (HLP), in reducing HCC risk among these patients.
Methods:
We included CHC patients from the T-COACH study who failed antiviral therapy. We tracked the onset of HCC 1.5 years post-therapy by linking to Taiwan’s cancer registry data from 2003 to 2019. We accounted for death and liver transplantation as competing risks and employed Gray’s cumulative incidence and Cox subdistribution hazards models to analyze HCC development.
Results:
Out of 2,779 patients, 480 (17.3%) developed HCC post-therapy. DM patients not using metformin had a 51% increased risk of HCC compared to non-DM patients, while HLP patients on statins had a 50% reduced risk compared to those without HLP. The 5-year HCC incidence was significantly higher for metformin non-users (16.5%) versus non-DM patients (11.3%; adjusted sub-distribution hazard ratio [aSHR]=1.51; P=0.007) and metformin users (3.1%; aSHR=1.59; P=0.022). Statin use in HLP patients correlated with a lower HCC risk (3.8%) compared to non-HLP patients (12.5%; aSHR=0.50; P<0.001). Notably, the increased HCC risk associated with non-use of metformin was primarily seen in non-cirrhotic patients, whereas statins decreased HCC risk in both cirrhotic and non-cirrhotic patients.
Conclusions
Metformin and statins may have a chemopreventive effect against HCC in CHC patients who failed antiviral therapy. These results support the need for personalized preventive strategies in managing HCC risk.
9.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.