Publications by authors named "Hui X Tan"

Introduction: Messenger ribonucleic acid (mRNA) severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccines have been associated with myocarditis/pericarditis, especially in young males. We evaluated the risk of myocarditis/pericarditis following mRNA vaccines by brand, age, sex and dose number in Singapore.

Methods: Adverse event reports of myocarditis/pericarditis following mRNA vaccines received by the Health Sciences Authority from 30 December 2020 to 25 July 2022 were included, with a data lock on 30 September 2022.

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Background: The real-world safety profile of COVID-19 mRNA vaccines remains incompletely elucidated.

Methods: We performed a nationwide post-market safety surveillance analysis in Singapore, on vacinees aged 5 years and older, through mid-September 2022. Observed-over-expected (O/E) analyses were performed to identify potential safety signals among eight shortlisted adverse events of special interest (AESIs): strokes, cerebral venous thrombosis (CVT), acute myocardial infarction, myocarditis/pericarditis, pulmonary embolism, immune thrombocytopenia, convulsions and appendicitis.

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COVID-19 has resulted in significant morbidity and mortality globally. We develop a model that uses data from thirty days before a fixed time point to forecast the daily number of new COVID-19 cases fourteen days later in the early stages of the pandemic. Various time-dependent factors including the number of daily confirmed cases, reproduction number, policy measures, mobility and flight numbers were collected.

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Although exponential progress in treating advanced malignancy has been made in the modern era with immune checkpoint blockade, survival outcomes remain suboptimal. Cellular immunotherapy, such as chimeric antigen receptor T cells, has the potential to improve this. CAR T cells combine the antigen specificity of a monoclonal antibody with the cytotoxic 'power' of T-lymphocytes through expression of a transgene encoding the scFv domain, CD3 activation molecule, and co-stimulatory domains.

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Organizing pneumonia (OP) promptly responds to corticosteroids. However, a minority of patients demonstrate corticosteroid resistance or relapse on corticosteroid tapering. We describe post COVID-19 OP patients with clinically inadequate response to corticosteroids but that improved after the addition of Mycophenolate Mofetil (MMF).

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Introduction: Discharge summaries contain valuable information about adverse drug reactions, but their unstructured nature makes them challenging to analyse and use as a signal source for pharmacovigilance. Machine learning has shown promise in identifying discharge summaries that contain related drug-adverse event pairs but has fared relatively poorer in entity extraction.

Methods: A hybrid model is developed combining rule-based and machine learning algorithms using discharge summaries with the aim of maximising capture of related drug-adverse event pairs.

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Objectives: The aim of this study was to characterize the benefits of converting Electronic Medical Records (EMRs) to a common data model (CDM) and to assess the potential of CDM-converted data to rapidly generate insights for benefit-risk assessments in post-market regulatory evaluation and decisions.

Methods: EMRs from January 2013 to December 2016 were mapped onto the Observational Medical Outcomes Partnership-CDM (OMOP-CDM) schema. Vocabulary mappings were applied to convert source data values into OMOP-CDM-endorsed terminologies.

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Article Synopsis
  • Over 1 billion adults globally suffer from hypertension, with 70% unable to achieve control using just one medication, leading to a need for dual combination therapies.
  • The study analyzed data from 11 electronic health records covering 118 million patients across 8 countries between 2000 and 2019, focusing on adults transitioning from monotherapy to dual treatment.
  • Results showed varying usage patterns of the four main antihypertensive drug classes among 970,335 patients based on age, sex, and cardiovascular history, highlighting diverse prescribing practices across different regions.
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Three-dimensional printing (3DP) is a revolutionary technology in pharmaceuticals, enabling the personalisation of flexible-dose drug products and 3D printed polypills (polyprintlets). A major barrier to entry of this technology is the lack of non-destructive quality control methods capable of verifying the dosage of multiple drugs in polyprintlets at the point of dispensing. In the present study, 3D printed films and cylindrical polyprintlets were loaded with flexible, therapeutic dosages of two distinct drugs (amlodipine and lisinopril) across concentration ranges of 1-5% w/w and 2-10% w/w, respectively.

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Functional deficits due to neuronal loss are a common theme across multiple neuropathologies, including traumatic brain injury (TBI). Apart from mitigating cell death, another approach to treating brain injuries involves re-establishing the neural circuitry at the lesion site by utilizing exogeneous and/or endogenous stem cells to achieve functional recovery. While there has been limited success, the emergence of new bioactive matrices that promote neural repair introduces new perspectives on the development of regenerative therapies for TBI.

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Objectives: We sought to identify the risk factors associated with mortality post-video-assisted thoracoscopic surgery (VATS) lobectomy over a 2-year period.

Methods: Analysis was performed using a sample from an institutionally maintained database. All lobectomies for non-small-cell lung cancer from April 2014 to March 2018 started with VATS approach and with a complete follow-up were included (n = 732).

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Background: Gait event detection (GED) is an important aspect in identifying and interpret a user's gait to assess gait abnormalities and design intelligent assistive devices.

Research Question: There is a need to develop robust GED models that can accurately detect various gait instances in different scenarios and environments.

Methods: This paper presents a novel method of detecting heel strikes (HS) and toe offs (TO) during the user's gait cycle using a modified Long Short-Term Memory (LSTM) networks approach.

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Purpose: To map the Shah-modified Barthel Index (SBI) to the Health Utility Index Mark III (HUI-3) in stroke patients, and to compare the performance of a recently developed method called the Mean Rank Method (MRM) against a popular method, the Ordinary Least Squares (OLS) method.

Methods: A cohort of 473 patients who had their first clinical stroke diagnosis and hospital admission and were assessed using the SBI and HUI-3 at 3 months and/or 12 months post-admission. Observations were split to form a training dataset (N = 473) and a validation dataset (N = 245).

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Purpose: To map the Alzheimer's Disease Cooperative Study-Activities of Daily Living Inventory (ADCS-ADL) to the Health Utility Index Mark III (HUI3) in people living with dementia (PWD) and to compare the performance of five methods for mapping.

Methods: A cross-sectional study of 346 dyads of community-dwelling PWD and family caregiver was carried out in Singapore. ADCS-ADL and HUI3 were rated by the family caregivers.

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