Publications by authors named "Shu Ling Chong"

Objective: Pediatric early warning systems identify patients at risk for deterioration. We aimed to determine if a locally adapted pediatric early warning system [KK hospital early warning score (KEWS)] can distinguish patients who require transfer from general ward to high dependency unit (HDU) or PICU, from those who do not.

Methods: We conducted a retrospective case-control single-center audit.

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Background And Objective: Federated learning (FL) is an emerging distributed learning framework allowing multiple clients (hospitals, institutions, smart devices, etc.) to collaboratively train a centralized machine learning model without disclosing personal data. It has the potential to address several healthcare challenges, including a lack of training data, data privacy, and security concerns.

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Background: Unplanned reattendances (UR) are an important quality indicator in the emergency department (ED). Understanding the risk factors associated with UR can aid clinicians in optimizing the allocation of time and resources, as well as targeted counselling for this specific group of patients. In this study, we aimed to compare patient characteristics between children who attended a pediatric emergency department (ED) with unplanned reattendances (UR) and those without UR.

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Introduction: While the definitive diagnosis of urinary tract infection (UTI) requires a positive urine culture, the likelihood of UTI can be determined by urinalysis that includes white blood cell (WBC) count. We aimed to determine the optimal urine WBC threshold in urinalysis to predict UTIs in children presenting at the emergency department (ED).

Method: We performed a prospective observational study in the ED at KK Women's and Children's Hospital for children below 18 years old who underwent both urine microscopy and urine cultures, between 10 January and 7 November 2022.

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Introduction: The last national emergency department (ED) inventory was performed in 2007, and major changes in population demographics, healthcare needs and infrastructure have since occurred. We sought to obtain an updated inventory of EDs in Singapore to identify and describe changes in their characteristics and capabilities across the years.

Methods: In 2021, the National Emergency Department Inventories (NEDI) instrument was administered to the leadership of Singapore EDs.

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Recognizing and prioritizing research areas in emergency care is crucial for generating evidence and advancing research programs, aiming to enhance health outcomes for both individuals and populations. The objective of this review is to document global clinical and nonclinical research priorities. The Emergency Medicine Education and Research by Global Experts network, consisting of 22 sites across six continents, conducted a mapping review of publications on emergency medicine research priorities (2000-2022) across seven databases.

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Background: Modeling patient data, particularly electronic health records (EHR), is one of the major focuses of machine learning studies in healthcare, as these records provide clinicians with valuable information that can potentially assist them in disease diagnosis and decision-making.

Methods: In this study, we present a multi-level graph-based framework called MedMGF, which models both patient medical profiles extracted from EHR data and their relationship network of health profiles in a single architecture. The medical profiles consist of several layers of data embedding derived from interval records obtained during hospitalization, and the patient-patient network is created by measuring the similarities between these profiles.

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Introduction: Sepsis is associated with neurocognitive impairment among preterm neonates but less is known about term neonates with sepsis. This systematic review and meta-analysis aims to provide an update of neurocognitive outcomes including cognitive delay, visual impairment, auditory impairment, and cerebral palsy, among neonates with sepsis.

Methods: We performed a systematic review of PubMed, Embase, CENTRAL and Web of Science for eligible studies published between January 2011 and March 2023.

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Introduction: Febrile young infants are at risk of serious bacterial infections (SBIs), which are potentially life-threatening. This study aims to investigate the association between delayed presentation and the risk of SBIs among febrile infants.

Method: We performed a prospective cohort study on febrile infants ≤90 days old presenting to a Singapore paediatric emergency department (ED) between November 2017 and July 2022.

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Introduction: We aim to investigate the functional outcomes and long-term health-related quality of life (HRQOL) in children with major trauma associated with traumatic brain injury (TBI).

Method: We performed a retrospective review of records among patients >2 and ≤16 years old in a tertiary paediatric hospital between January 2014 and October 2019 with major trauma (Injury Severity Score of ≥16) and TBI of all severities. We recorded each child's Glasgow Outcome Scale-Extended Pediatric Version (GOS-E Peds) at 12 months post-injury and Pediatric Quality of Life Inventory (PedsQL) scores at 6 and 12 months post-injury based on the parent proxy-report scales.

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Background: Advancements in medical technologies have led to the development of contact-free methods of haemodynamic monitoring such as remote photoplethysmography (rPPG). rPPG uses video cameras to interpret variations in skin colour related to blood flow, which are analysed to generate vital signs readings. rPPG potentially ameliorates problems like fretfulness and fragile skin contact associated with conventional probes in children.

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Introduction: Prehospital trauma triage and disability assessment of pediatric patients can be challenging on the field, especially in the pre-verbal age group. It would be useful if the same triage tool and criteria can be used for both adults and children to risk-stratify the need of higher acuity of trauma care.

Study Objective: We aimed to investigate if using only the motor component of Glasgow Coma Scale (mGCS), as a quick field trauma triage tool, was non-inferior to total GCS (tGCS), and if mGCS <6 was non-inferior to tGCS <14, in predicting the need for intensive care or mortality in the pediatric population.

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Introduction: The management of fever without source in children ≤36 months old remains a diagnostic challenge as the underlying aetiologies can vary from self-limiting viral infections to serious bacterial infections (SBIs). Biomarkers such as C reactive protein (CRP), procalcitonin (PCT) and interleukin-6 (IL-6) have varying thresholds in the prediction of SBIs due to differences in SBI definitions, SBI prevalence, patient characteristics and timing of presentation. This protocol describes a systematic review and meta-analysis that aims to determine the thresholds at which CRP, PCT and IL-6 can perform optimally in distinguishing the presence of SBIs in children ≤36 months old, as well as to determine their performances in early detection of bacterial infections within 48 hours of fever onset.

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Article Synopsis
  • The study examines clinical outcomes and healthcare utilization for children with moderate to severe traumatic brain injuries (TBIs) in low- and middle-income countries (LMICs) compared to non-LMICs in Asia and Latin America.
  • It involved an observational analysis of 771 children admitted to pediatric intensive care units (PICUs) from January 2014 to February 2023, focusing on mortality rates, outcomes, and free days without ICU or hospital care.
  • Results indicated that while mortality rates were similar between groups, children from LMICs had worse functional outcomes and fewer ICU- and hospital-free days, suggesting a significant disparity in health outcomes influenced by socioeconomic factors.
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Purpose: We aimed to investigate the association between initial dysnatremia (hyponatremia and hypernatremia) and in-hospital mortality, as well as between initial dysnatremia and functional outcomes, among children with traumatic brain injury (TBI).

Method: We performed a multicenter observational study among 26 pediatric intensive care units from January 2014 to August 2022. We recruited children with TBI under 18 years of age who presented to participating sites within 24 h of injury.

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Background: Introduction of the mRNA vaccination for coronavirus disease 2019 (COVID-19) has been associated with an increase in cases of peri/myocarditis. In our retrospective cross-sectional study, we aim to (I) describe paediatric chest pain attendance, and (II) study resource utilisation in the Emergency Department (ED) of KK Women's and Children's Hospital (KKH), stratified by pre-pandemic, during the pandemic pre- and post-COVID vaccination introduction in adolescents.

Methods: We reviewed records of adolescents aged 12 to 18 years old who presented to our ED with the triage complaint of chest pain between 1 January 2019 to 31 January 2022, and determined the attendance rates, aetiologies and resource utilisation during the above time periods.

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Background: Recent research has demonstrated that machine learning (ML) has the potential to improve several aspects of medical application for critical illness, including sepsis. This scoping review aims to evaluate the feasibility of probabilistic graphical model (PGM) methods in pediatric sepsis application and describe the use of pediatric sepsis definition in these studies.

Methods: Literature searches were conducted in PubMed, Scopus, Cumulative Index to Nursing and Allied Health Literature (CINAHL+), and Web of Sciences from 2000-2023.

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Background: To assist clinicians with identifying children at risk of severe outcomes, we assessed the association between laboratory findings and severe outcomes among severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-infected children and determined if SARS-CoV-2 test result status modified the associations.

Methods: We conducted a cross-sectional analysis of participants tested for SARS-CoV-2 infection in 41 pediatric emergency departments in 10 countries. Participants were hospitalized, had laboratory testing performed, and completed 14-day follow-up.

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Introduction: We aimed to identify clinical characteristics, risk factors for diagnosis, and describe outcomes among children with AHT.

Methods: We performed an observational cohort study in tertiary care hospitals from 14 countries across Asia and Ibero-America. We included patients <5 years old who were admitted to participating pediatric intensive care units (PICUs) with moderate to severe traumatic brain injury (TBI).

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We aimed to derive the Febrile Infants Risk Score at Triage (FIRST) to quantify risk for serious bacterial infections (SBIs), defined as bacteremia, meningitis and urinary tract infections. We performed a prospective observational study on febrile infants < 3 months old at a tertiary hospital in Singapore between 2018 and 2021. We utilized machine learning and logistic regression to derive 2 models: FIRST, based on patient demographics, vital signs and history, and FIRST + , adding laboratory results to the same variables.

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Purpose: Children with moderate traumatic brain injury (modTBI) (Glasgow Coma Scale (GCS) 9-13) may benefit from better stratification. We aimed to compare neurocritical care utilization and functional outcomes between children with high GCS modTBI (hmodTBI, GCS 11-13), low GCS modTBI (lmodTBI, GCS 9-10), and severe TBI (sTBI, GCS ≤ 8). We hypothesized that patients with lmodTBI have higher neurocritical care needs and worse outcomes than patients with hmodTBI and are similar to patients with sTBI.

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