2.Recommendations for enhanced primary series (third dose) COVID-19 vaccination for people with rheumatic diseases: chapter of Rheumatologists, College of Physicians, Singapore.
Chuanhui XU ; Manjari LAHIRI ; Amelia SANTOSA ; Li-Ching CHEW ; Stanley ANGKODJOJO ; Melonie SRIRANGANATHAN ; Warren FONG ; Thaschawee ARKACHAISRI ; Ernest SURESH ; Kok Ooi KONG ; Aisha LATEEF ; Tau Hong LEE ; Keng Hong LEONG ; Andrea LOW ; Teck Choon TAN ; Ying-Ying LEUNG
Singapore medical journal 2025;66(10):532-539
INTRODUCTION:
This review aims to provide evidence-based recommendations for an enhanced primary series (third dose) coronavirus disease 2019 (COVID-19) vaccination in people with rheumatic diseases (PRDs) in the local and regional context.
METHODS:
Literature reviews were performed regarding the necessity, efficacy, safety and strategies for enhanced primary series COVID-19 vaccination in PRDs. Recommendations were developed based on evidence according to the Grading of Recommendations Assessment, Development and Evaluation (GRADE) methodology. Evidence was synthesised by eight working group members, and the consensus was achieved by a Delphi method with nine members of an expert task force panel.
RESULTS:
Two graded recommendations and one ungraded position statement were developed. PRDs have impaired immunogenicity from the COVID-19 vaccine and are at an increased risk of postvaccine breakthrough severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and poor clinical outcomes, compared to the general population. We strongly recommend that PRDs on immunomodulatory drugs be offered a third dose of the messenger RNA (mRNA) vaccine as part of an enhanced primary series, after the standard two-dose regimen. We conditionally recommend that the third dose of mRNA vaccine against SARS-CoV-2 be given at least 4 weeks after the second dose or as soon as possible thereafter. There is insufficient data to inform whether the third mRNA vaccine should be homologous or heterologous in PRDs.
CONCLUSION
These recommendations that were developed through evidence synthesis and formal consensus process provide guidance for an enhanced primary series COVID-19 vaccination in PRDs.
Humans
;
COVID-19/prevention & control*
;
COVID-19 Vaccines/administration & dosage*
;
Rheumatic Diseases/immunology*
;
Singapore
;
SARS-CoV-2
;
Vaccination/methods*
;
Delphi Technique
;
Immunization, Secondary
3.Singapore consensus statements on the management of obstructive sleep apnoea.
Leong Chai LEOW ; Chuen Peng LEE ; Sridhar VENKATESWARAN ; Michael Teik Chung LIM ; Oon Hoe TEOH ; Ruth CHANG ; Yam Cheng CHEE ; Khai Beng CHONG ; Ai Ping CHUA ; Joshua GOOLEY ; Hong Juan HAN ; Nur Izzianie KAMARUDDIN ; See Meng KHOO ; Lynn Huiting KOH ; Shaun Ray Han LOH ; Kok Weng LYE ; Mark IGNATIUS ; Yingjuan MOK ; Jing Hao NG ; Thun How ONG ; Chu Qin PHUA ; Rui Ya SOH ; Pei Rong SONG ; Adeline TAN ; Alvin TAN ; Terry TAN ; Jenny TANG ; David TAY ; Jade TAY ; Song Tar TOH ; Serene WONG ; Chiang Yin WONG ; Mimi YOW
Annals of the Academy of Medicine, Singapore 2025;54(10):627-643
INTRODUCTION:
Obstructive sleep apnoea (OSA) is common in Singapore, with moderate to severe OSA affecting around 30% of residents. These consensus statements aim to provide scientifically grounded recommendations for the management of OSA, standar-dise the management of OSA in Singapore and promote multidisciplinary collaboration.
METHOD:
An expert panel, which was convened in 2024, identified several areas of OSA management that require guidance. The expert panel reviewed the current literature and developed consensus statements, which were later independently voted on using a 3-point Likert scale (agree, neutral or disagree). Consensus (total ratings of agree and neutral) was set a priori at ≥80% agreement. Any statement not reaching consensus was excluded.
RESULTS:
The final consensus included 49 statements that provide guidance on the screening, diagnosis and management of adults with OSA. Additionally, 23 statements on the screening, diagnosis and management of paediatric OSA achieved consensus. These 72 consensus statements considered not only the latest clinical evidence but also the benefits and harms, resource implications, feasibility, acceptability and equity impact of the recommendations.
CONCLUSION
The statements presented in this paper aim to guide clinicians based on the most updated evidence and collective expert opinion from sleep specialists in Singapore. These recommendations should augment clinical judgement rather than replace it. Management decisions should be individualised, taking into account the patient's clinical characteristics, as well as patient and caregiver concerns and preferences.
Humans
;
Sleep Apnea, Obstructive/diagnosis*
;
Singapore
;
Consensus
;
Adult
4.Analysis of Chinese Medical Syndrome Features of Ischemic Stroke Based on Similarity of Symptoms Subgroup.
Xiao-Qing LIU ; Run-Shun ZHANG ; Xue-Zhong ZHOU ; Hong ZHOU ; Yu-Yao HE ; Shu HAN ; Jing ZHANG ; Zi-Xin SHU ; Xue-Bin ZHANG ; Jing-Hui JI ; Quan ZHONG ; Li-Li ZHANG ; Zi-Jun MOU ; Li-Yun HE ; Lun-Zhong ZHANG ; Jie YANG ; Yan-Jie HU ; Zheng-Guang CHEN ; Xiao-Zhen LI ; Yan TAN ; Zhan-Feng YAN ; Ke-Gang CAO ; Wei MENG ; He ZHAO ; Wei ZHANG ; Li-Qun ZHONG
Chinese journal of integrative medicine 2023;29(5):441-447
OBJECTIVE:
To derive the Chinese medicine (CM) syndrome classification and subgroup syndrome characteristics of ischemic stroke patients.
METHODS:
By extracting the CM clinical electronic medical records (EMRs) of 7,170 hospitalized patients with ischemic stroke from 2016 to 2018 at Weifang Hospital of Traditional Chinese Medicine, Shandong Province, China, a patient similarity network (PSN) was constructed based on the symptomatic phenotype of the patients. Thereafter the efficient community detection method BGLL was used to identify subgroups of patients. Finally, subgroups with a large number of cases were selected to analyze the specific manifestations of clinical symptoms and CM syndromes in each subgroup.
RESULTS:
Seven main subgroups of patients with specific symptom characteristics were identified, including M3, M2, M1, M5, M0, M29 and M4. M3 and M0 subgroups had prominent posterior circulatory symptoms, while M3 was associated with autonomic disorders, and M4 manifested as anxiety; M2 and M4 had motor and motor coordination disorders; M1 had sensory disorders; M5 had more obvious lung infections; M29 had a disorder of consciousness. The specificity of CM syndromes of each subgroup was as follows. M3, M2, M1, M0, M29 and M4 all had the same syndrome as wind phlegm pattern; M3 and M0 both showed hyperactivity of Gan (Liver) yang pattern; M2 and M29 had similar syndromes, which corresponded to intertwined phlegm and blood stasis pattern and phlegm-stasis obstructing meridians pattern, respectively. The manifestations of CM syndromes often appeared in a combination of 2 or more syndrome elements. The most common combination of these 7 subgroups was wind-phlegm. The 7 subgroups of CM syndrome elements were specifically manifested as pathogenic wind, pathogenic phlegm, and deficiency pathogens.
CONCLUSIONS
There were 7 main symptom similarity-based subgroups in ischemic stroke patients, and their specific characteristics were obvious. The main syndromes were wind phlegm pattern and hyperactivity of Gan yang pattern.
Humans
;
Syndrome
;
Ischemic Stroke
;
Medicine, Chinese Traditional
;
Liver
;
Phenotype
5.Deep learning applied to two-dimensional color Doppler flow imaging ultrasound images significantly improves diagnostic performance in the classification of breast masses: a multicenter study.
Teng-Fei YU ; Wen HE ; Cong-Gui GAN ; Ming-Chang ZHAO ; Qiang ZHU ; Wei ZHANG ; Hui WANG ; Yu-Kun LUO ; Fang NIE ; Li-Jun YUAN ; Yong WANG ; Yan-Li GUO ; Jian-Jun YUAN ; Li-Tao RUAN ; Yi-Cheng WANG ; Rui-Fang ZHANG ; Hong-Xia ZHANG ; Bin NING ; Hai-Man SONG ; Shuai ZHENG ; Yi LI ; Yang GUANG
Chinese Medical Journal 2021;134(4):415-424
BACKGROUND:
The current deep learning diagnosis of breast masses is mainly reflected by the diagnosis of benign and malignant lesions. In China, breast masses are divided into four categories according to the treatment method: inflammatory masses, adenosis, benign tumors, and malignant tumors. These categorizations are important for guiding clinical treatment. In this study, we aimed to develop a convolutional neural network (CNN) for classification of these four breast mass types using ultrasound (US) images.
METHODS:
Taking breast biopsy or pathological examinations as the reference standard, CNNs were used to establish models for the four-way classification of 3623 breast cancer patients from 13 centers. The patients were randomly divided into training and test groups (n = 1810 vs. n = 1813). Separate models were created for two-dimensional (2D) images only, 2D and color Doppler flow imaging (2D-CDFI), and 2D-CDFI and pulsed wave Doppler (2D-CDFI-PW) images. The performance of these three models was compared using sensitivity, specificity, area under receiver operating characteristic curve (AUC), positive (PPV) and negative predictive values (NPV), positive (LR+) and negative likelihood ratios (LR-), and the performance of the 2D model was further compared between masses of different sizes with above statistical indicators, between images from different hospitals with AUC, and with the performance of 37 radiologists.
RESULTS:
The accuracies of the 2D, 2D-CDFI, and 2D-CDFI-PW models on the test set were 87.9%, 89.2%, and 88.7%, respectively. The AUCs for classification of benign tumors, malignant tumors, inflammatory masses, and adenosis were 0.90, 0.91, 0.90, and 0.89, respectively (95% confidence intervals [CIs], 0.87-0.91, 0.89-0.92, 0.87-0.91, and 0.86-0.90). The 2D-CDFI model showed better accuracy (89.2%) on the test set than the 2D (87.9%) and 2D-CDFI-PW (88.7%) models. The 2D model showed accuracy of 81.7% on breast masses ≤1 cm and 82.3% on breast masses >1 cm; there was a significant difference between the two groups (P < 0.001). The accuracy of the CNN classifications for the test set (89.2%) was significantly higher than that of all the radiologists (30%).
CONCLUSIONS:
The CNN may have high accuracy for classification of US images of breast masses and perform significantly better than human radiologists.
TRIAL REGISTRATION
Chictr.org, ChiCTR1900021375; http://www.chictr.org.cn/showproj.aspx?proj=33139.
Area Under Curve
;
Breast/diagnostic imaging*
;
Breast Neoplasms/diagnostic imaging*
;
China
;
Deep Learning
;
Humans
;
ROC Curve
;
Sensitivity and Specificity
6.Screening for congenital heart disease in a Singapore neonatal unit.
Alvin Jia-Hao NGEOW ; Mary Grace TAN ; Jonathan Tze-Liang CHOO ; Teng-Hong TAN ; Wei Ching TAN ; Daisy Kwai-Lin CHAN
Singapore medical journal 2021;62(7):341-346
INTRODUCTION:
Congenital heart disease (CHD) is a leading cause of infant mortality. The aim of this study was to evaluate the efficacy of a neonatal screening programme for CHD before the introduction of pulse oximetry.
METHODS:
This was a retrospective review of live births in the period 2003-2012. Cases of CHD were detected through prenatal ultrasonography and/or postnatal examination, and confirmed using two-dimensional echocardiography. Data was rigorously checked against multiple sources. The antenatal detection rate, sensitivity, specificity, predictive values and likelihood ratios of the screening programme were analysed for all cases of CHD and critical CHD.
RESULTS:
The incidence of CHD was 9.7 per 1,000 live births. The commonest CHD was ventricular septal defect (54.8%). The antenatal detection rate was three times higher in the critical CHD group (64.0%) compared to the group as a whole (21.1%). The sensitivity and specificity of screening was 64.5% and 99.7% for all CHD, and 92.9% and 99.1% for the critical CHD group, respectively. The positive likelihood ratio was 215 and 103, while the negative likelihood ratio was 0.36 and 0.07 for all CHD and critical CHD, respectively.
CONCLUSION
The CHD screening programme had excellent specificity but limited sensitivity. The high positive likelihood ratios indicate that where sufficient risk factors for CHD are present, a positive result effectively confirms the presence of CHD. The low negative likelihood ratio for critical CHD indicates that, where prior suspicion for critical CHD is low, a negative result is reassuring.
7. Identification of a novel coronavirus causing severe pneumonia in human: a descriptive study
Li Li REN ; Ye Ming WANG ; Zhi Qiang WU ; Zi Chun XIANG ; Li GUO ; Teng XU ; Yong Zhong JIANG ; Yan XIONG ; Yong Jun LI ; Hui LI ; Guo Hui FAN ; Xiao Ying GU ; Yan XIAO ; Hong GAO ; Jiu Yang XU ; Fan YANG ; Xin Ming WANG ; Chao WU ; Lan CHEN ; Yi Wei LIU ; Bo LIU ; Jian YANG ; Jie DONG ; Li LI ; Chao Lin HUANG ; Jian Ping ZHAO ; Yi HU ; Zhen Shun CHENG ; Lin Lin LIU ; Zhao Hui QIAN ; Chuan QIN ; Qi JIN ; Bin CAO ; Jian Wei WANG
Chinese Medical Journal 2020;133(0):E001-E001
Background: Human infections with zoonotic coronaviruses (CoVs), including severe acute respiratory syndrome (SARS)-CoV and Middle East respiratory syndrome (MERS)-CoV, have raised great public health concern globally. Here, we report a novel bat-origin CoV causing severe and fatal pneumonia in humans. Methods: We collected clinical data and bronchoalveolar lavage (BAL) specimens from five patients with severe pneumonia from Jin Yin-tan Hospital, Wuhan, Hubei province, China. Nucleic acids of the BAL were extracted and subjected to next-generation sequencing. Virus isolation was carried out, and maximum-likelihood phylogenetic trees were constructed. Results: Five patients hospitalized from December 18 to December 29, 2019 presented with fever, cough, and dyspnea accompanied by complications of acute respiratory distress syndrome. Chest radiography revealed diffuse opacities and consolidation. One of these patients died. Sequence results revealed the presence of a previously unknown β-CoV strain in all five patients, with 99.8–99.9% nucleotide identities among the isolates. These isolates showed 79.0% nucleotide identity with the sequence of SARS-CoV (GenBank NC_004718) and 51.8% identity with the sequence of MERS-CoV (GenBank NC_019843). The virus is phylogenetically closest to a bat SARS-like CoV (SL-ZC45, GenBank MG772933) with 87.6–87.7% nucleotide identity, but is in a separate clade. Moreover, these viruses have a single intact open reading frame gene 8, as a further indicator of bat-origin CoVs. However, the amino acid sequence of the tentative receptor-binding domain resembles that of SARS-CoV, indicating that these viruses might use the same receptor. Conclusion: A novel bat-borne CoV was identified that is associated with severe and fatal respiratory disease in humans.
8.Behavioral research on the influence of anxiety on risk decision-making
Yuqing TIAN ; Lefei TENG ; Xuezhi HONG ; Yan LIU ; Xi TAN
Chinese Journal of Behavioral Medicine and Brain Science 2015;24(9):835-837
Objective To explore the differences in behavior of anxiety individuals and the normal control under different feedback (positive feedback,negative feedback).Methods 400 university students were investigated using self-rating anxiety scale(SAS) and state anxiety inventory (SAI) and the data were analyzed with balloon analogue risk task.Results The score of anxiety group(24.28±6.12) was significantly lower (t=-2.25,P<0.05) than that of control group(29.80±7.26) in the number of busting balloons.But in the number of busting balloons of positive and negative feedback condition,scores of anxiety group and control group were not significantly different(t=-1.82,P>0.05;t=-1.78,P>0.05).Conclusions Influence of anxiety on decision-making often manifests as risk aversion.
9.Neonatal and Paediatric Extracorporeal Membrane Oxygenation (ECMO) in a Single Asian Tertiary Centre.
Angela S H YEO ; Jin Ho CHONG ; Teng Hong TAN ; Agnes S B NG ; Victor Samuel RAJADURAI ; Yoke Hwee CHAN
Annals of the Academy of Medicine, Singapore 2014;43(7):355-361
INTRODUCTIONExtracorporeal membrane oxygenation (ECMO) is a cardiopulmonary bypass technique (CPB) which provides life-saving support in patients with refractory cardiorespiratory failure until cardiopulmonary recovery or organ replacement.
MATERIALS AND METHODSThis is a single centre retrospective study reporting the largest series of paediatric patients in Singapore who received ECMO support over an 11-year period from January 2002 to December 2012. The objective is to describe the characteristics of the patients and to report the survival to hospital discharge, complications during ECMO and other long-term complications.
RESULTSForty-eight patients received ECMO during the study period. ECMO was initiated for myocarditis in majority of the paediatric patients whereas postoperative low cardiac output state was the most common indication in the neonatal population. The overall survival rate to hospital discharge was 45.8%. Survival was highest in the neonates with respiratory failure (75%). Haematological and cardiac complications were most common during ECMO. Age group, gender, duration of ECMO, need for renal replacement therapy, acute neurological complications were not associated with mortality. Those needing inotropic support during ECMO had poorer survival while those with hypertension requiring vasodilator treatment had a higher survival rate. The survival rates for ECMO patients more than doubled from the initial 6 years of 23% to 54% in the last 5 years of the study period. Long-term complications encountered included neurological, respiratory and cardiac problems.
CONCLUSIONECMO is a life-saving modality for neonatal and paediatric patients with cardiopulmonary failure from diverse causes. Patients with persistent need for inotropes during ECMO had poorer outcome. Centre experience had an impact on ECMO outcome.
Adolescent ; Child ; Child, Preschool ; Extracorporeal Membrane Oxygenation ; adverse effects ; Female ; Heart Failure ; therapy ; Humans ; Infant ; Infant, Newborn ; Male ; Patient Discharge ; Respiratory Insufficiency ; mortality ; therapy ; Retrospective Studies ; Survival Rate ; Tertiary Care Centers ; Young Adult

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