Ambient Air Quality and Emergency Hospital Admissions in Singapore: A Time-Series Analysis.

Air pollution exposure may increase the demand for emergency healthcare services, particularly in South-East Asia, where the burden of air-pollution-related health impacts is high. This article aims to investigate the association between air quality and emergency hospital admissions in Singapore. Quasi-Poisson regression was applied with a distributed lag non-linear model (DLNM) to assess the short-term associations between air quality variations and all-cause, emergency admissions from a major hospital in Singapore, between 2009 and 2017.

Use of extracorporeal membrane oxygenation in massive amlodipine overdose.

Calcium-channel blocker overdose can result in profound vasoplegia and cardiogenic shock, which can quickly spiral into multi-organ failure and death. In this case report, we discuss two separate cases of massive amlodipine overdose with polydrug intoxication (Patient A: amlodipine and quetiapine; Patient B: amlodipine, fluoxetine and zopiclone), both of which were complicated by life-threatening vasoplegic shock refractory to supportive therapy (endotracheal intubation, fluid resuscitation, activated charcoal, vasopressors and inotropes), multimodal antidotes (calcium and hyper-insulinemic euglycemic therapy) and even second-line treatment (methylene blue and therapeutic plasma exchange). Despite exhausting all therapeutic options, resuscitation remained futile with no clinical response elicited until veno-arterial extracorporeal membrane oxygenation (ECMO) salvage therapy was initiated in both cases as a bridge-to-recovery.

Leveraging Large-Scale Electronic Health Records and Interpretable Machine Learning for Clinical Decision Making at the Emergency Department: Protocol for System Development and Validation.

Background: There is a growing demand globally for emergency department (ED) services. An increase in ED visits has resulted in overcrowding and longer waiting times. The triage process plays a crucial role in assessing and stratifying patients' risks and ensuring that the critically ill promptly receive appropriate priority and emergency treatment.

Development and validation of the SARICA score to predict survival after return of spontaneous circulation in out of hospital cardiac arrest using an interpretable machine learning framework.

Background: Accurate and timely prognostication of patients with out-of-hospital cardiac arrest (OHCA) who achieved the return of spontaneous circulation (ROSC) is crucial in clinical decision-making, resource allocation, and communications with next-of-kins. We aimed to develop the Survival After ROSC in Cardiac Arrest (SARICA), a practical clinical decision tool to predict survival in OHCA patients who attained ROSC.

Methods: We utilized real-world Singapore data from the population-based Pan-Asian Resuscitation Outcomes Study between 2010-2018.

Improved door-to-balloon time for primary percutaneous coronary intervention for patients conveyed via emergency ambulance service.

Introduction: Early reperfusion of ST-segment elevation myocardial infarction (STEMI) results in better outcomes. Interventions that have resulted in shorter door-to-balloon (DTB) time include prehospital cardiovascular laboratory activation and prehospital electrocardiogram (ECG) transmission, which are only available for patients who arrive via emergency ambulances. We assessed the impact of mode of transport on DTB time in a single tertiary institution and evaluated the factors that affected various components of DTB time.

Development and Assessment of an Interpretable Machine Learning Triage Tool for Estimating Mortality After Emergency Admissions.

Importance: Triage in the emergency department (ED) is a complex clinical judgment based on the tacit understanding of the patient's likelihood of survival, availability of medical resources, and local practices. Although a scoring tool could be valuable in risk stratification, currently available scores have demonstrated limitations.

Objectives: To develop an interpretable machine learning tool based on a parsimonious list of variables available at ED triage; provide a simple, early, and accurate estimate of patients' risk of death; and evaluate the tool's predictive accuracy compared with several established clinical scores.

Dynamic emergency department response to the evolving COVID-19 pandemic: the experience of a tertiary hospital in Singapore.

The coronavirus disease 2019 (COVID-19) pandemic has placed large stressors on emergency departments (EDs) worldwide. As the pandemic progressed, EDs faced changing patient epidemiology and numbers. Our ED needed to rapidly transform to deal with the risk of COVID-19.

Disease Outbreak Surge Response: How a Singapore Tertiary Hospital Converted a Multi-story Carpark Into a Flu Screening Area to Respond to the COVID-19 Pandemic.

Coronavirus disease 2019 (COVID-19), first documented in December 2019, was declared a public health emergency by the World Health Organization (WHO) on January 30, 2020 (https://www.who.int/westernpacific/emergencies/covid-19).

Improving asthma care with Asthma-COPD Afterhours Respiratory Nurse at Emergency (A-CARE).

Background: Emergency departments (ED) are important providers of asthma care, particularly after-hours. We identified gaps for quality improvement such as suboptimal adherence rates to three key recommendations from the Global Initiative for Asthma (GINA) guidelines for discharge management asthma guidelines. These were: the prescription of oral and inhaled corticosteroids (OCS and ICS) and issuance of outpatient follow-up for patients discharged from the ED.

Randomized controlled trial of internal and external targeted temperature management methods in post- cardiac arrest patients.

Background: Targeted temperature management post-cardiac arrest is currently implemented using various methods, broadly categorized as internal and external. This study aimed to evaluate survival-to-hospital discharge and neurological outcomes (Glasgow-Pittsburgh Score) of post-cardiac arrest patients undergoing internal cooling verses external cooling.

Methodology: A randomized controlled trial of post-resuscitation cardiac arrest patients was conducted from October 2008-September 2014.

Atypical presentation of traumatic aortic injury.

Background. Blunt thoracic aorta injury (BAI) is second only to head injury as cause of mortality in blunt trauma. While most patients do not survive till arrival at the hospital, for the remainder, prompt diagnosis and treatment greatly improve outcomes.

Improving the quality of cardiopulmonary resuscitation by training dedicated cardiac arrest teams incorporating a mechanical load-distributing device at the emergency department.

Objective: Determine if implementing cardiac arrest teams trained with a 'pit-crew' protocol incorporating a load-distributing band mechanical CPR device (Autopulse™ ZOLL) improves the quality of CPR, as determined by no-flow ratio (NFR) in the first 10min of resuscitation.

Methods: A phased, prospective, non-randomized, before-after cohort evaluation. Data collection was from April 2008 to February 2011.