1.POEMS syndrome--a case for more aggressive treatment.
Rahul RATHAKRISHNAN ; Te-Chih LIU ; Yee-Cheun CHAN ; Benjamin K C ONG
Annals of the Academy of Medicine, Singapore 2007;36(6):435-437
INTRODUCTIONPatients with POEMS (polyneuropathy, organomegaly, endocrinopathy, monoclonal or M-protein and skin changes) syndrome exhibit a wide range of clinical manifestations and are often seen by a variety of specialists prior to diagnosis.
CLINICAL PICTUREWe describe a case of POEMS syndrome that first presented with significant neuropathy but progressed to develop further manifestations of the condition, including marked gastrointestinal symptoms.
TREATMENTThe patient was commenced on localised radiotherapy and chemotherapy in addition to immunomodulatory therapy for the neuropathy.
CONCLUSIONWe highlight several learning points that may benefit physicians from varied specialties. This case is also unique for its marked gastrointestinal manifestation. To our knowledge, this is the second reported case in the literature with this feature.
Gastrointestinal Diseases ; etiology ; physiopathology ; Humans ; Immunologic Factors ; therapeutic use ; Male ; Middle Aged ; POEMS Syndrome ; complications ; drug therapy ; radiotherapy ; Treatment Outcome
2.Evaluation of Thalassaemia Screening Tests in the Antenatal and Non-Antenatal Populations in Singapore.
Shir Ying LEE ; Eng Soo YAP ; Elaine Yp LEE ; Jia Hui GOH ; Te Chih LIU ; Christina YIP
Annals of the Academy of Medicine, Singapore 2019;48(1):5-15
INTRODUCTION:
Haemoglobinopathy testing is performed for carrier screening and evaluation of microcytic anaemia. We evaluated the effectiveness of thalassaemia screening tests at our institution and suggest ways of improving the testing algorithm.
MATERIALS AND METHODS:
A total of 10,084 non-antenatal and 11,364 antenatal samples with alkaline gel electrophoresis (AGE), capillary electrophoresis (CE), haemoglobin H (HbH) inclusion test, mean corpuscular haemoglobin (MCH) and mean corpuscular volume (MCV) were retrospectively reviewed. A subgroup of 187 samples with genetic testing was correlated with HbH inclusions and MCH/ MCV. The effect of iron deficiency on percentage hemoglobin A2 (HbA2) was studied.
RESULTS:
HbH inclusion test showed low sensitivity of 21.43% for α-thalassaemia mutations but higher sensitivity of 78.95% for deletion. By receiver operating characteristic (ROC) analysis, MCH ≤28 pg or MCV ≤80 fl for non-antenatal samples and MCH ≤27 pg or MCV ≤81 fl for antenatal samples had >98% sensitivity for HbH inclusions. Above these thresholds, the probability that HbH inclusions would be absent was <99% (negative predictive value [NPV] >99%). MCH ≥28 pg had 100% sensitivity (95% CI 95.63%-100%) for α-thalassaemia mutations and 97.68% calculated NPV in the antenatal population. Detection of haemoglobin variants by CE correlated highly with AGE (99.89% sensitivity, 100% specificity). Severe iron deficiency reduced HbA2 in hemoglobin ( <0.001) and α-thalassaemia ( = 0.0035), but not in β-thalassaemia.
CONCLUSION
MCH/MCV thresholds have adequate sensitivity for α-thalassaemia in the antenatal population, and genotyping plays an important role as HbH inclusion test shows low sensitivity. CE without AGE, may be used as initial screening for haemoglobin variants. Our study provides contemporary data to guide thalassaemia screening algorithms in Singapore.
Blood Protein Electrophoresis
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Electrophoresis, Capillary
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Erythrocyte Inclusions
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pathology
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Erythrocyte Indices
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Female
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Genetic Testing
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Hemoglobin H
;
analysis
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Humans
;
Male
;
Mass Screening
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Pregnancy
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Pregnancy Complications, Hematologic
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blood
;
diagnosis
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Retrospective Studies
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Sensitivity and Specificity
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Singapore
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alpha-Thalassemia
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blood
;
diagnosis
3.The development of Taiwan Fracture Liaison Service network
Lo Yu CHANG ; Keh Sung TSAI ; Jen Kuei PENG ; Chung Hwan CHEN ; Gau Tyan LIN ; Chin Hsueh LIN ; Shih Te TU ; I Chieh MAO ; Yih Lan GAU ; Hsusan Chih LIU ; Chi Chien NIU ; Min Hong HSIEH ; Jui Teng CHIEN ; Wei Chieh HUNG ; Rong Sen YANG ; Chih Hsing WU ; Ding Cheng CHAN
Osteoporosis and Sarcopenia 2018;4(2):45-50
Osteoporosis and its associated fragility fractures are becoming a severe burden in the healthcare system globally. In the Asian-Pacific (AP) region, the rapidly increasing in aging population is the main reason accounting for the burden. Moreover, the paucity of quality care for osteoporosis continues to be an ongoing challenge. The Fracture Liaison Service (FLS) is a program promoted by International Osteoporosis Foundation (IOF) with a goal to improve quality of postfracture care and prevention of secondary fractures. In this review article, we would like to introduce the Taiwan FLS network. The first 2 programs were initiated in 2014 at the National Taiwan University Hospital and its affiliated Bei-Hu branch. Since then, the Taiwan FLS program has continued to grow exponentially. Through FLS workshops promoted by the Taiwanese Osteoporosis Association (TOA), program mentors have been able to share their valuable knowledge and clinical experience in order to promote establishments of additional programs. With 22 FLS sites including 11 successfully accredited on the best practice map, Taiwan remains as one of the highest FLS coverage countries in the AP region, and was also granted the IOF Best Secondary Fracture Prevention Promotion award in 2017. Despite challenges faced by the TOA, we strive to promote more FLS sites in Taiwan with a main goal of ameliorating further health burden in managing osteoporotic patients.
Aging
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Awards and Prizes
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Delivery of Health Care
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Education
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Financing, Organized
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Humans
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Mentors
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Osteoporosis
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Practice Guidelines as Topic
;
Taiwan
4.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
5.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.