OBJECTIVE: We wanted to assess the trends of computed tomography (CT) examinations in a pediatric emergency department (ED). MATERIALS AND METHODS: We searched the medical database to identify the pediatric patients who had visited the ED, and the number of CTs conducted from January 2001 to December 2010. We analyzed the types of CTs, according to the anatomic region, and the patients who underwent CT examinations for multiple regions. Data were stratified, according to the patient age (< 13 years and 13 < or = ages < 18 years). RESULTS: The number of CTs performed per 1000 patients increased by 92% during the 10-year period (per 1000 patients, increased from 50.1 CTs in 2001 to 156.5 CTs in 2006, and then decreased to 96.0 CTs in 2010). Although head CTs were performed most often (74.6% of all CTs), facial bone CTs showed the largest rate of increase (3188%) per 1000 patients, followed by cervical CTs (642%), abdominal CTs (474%), miscellaneous CTs (236%), chest CTs (89%) and head CTs (39%). The number of patients who had CT examinations for multiple regions in the same day showed a similar pattern of increase, to that of overall CT examinations. Increase of CT utilization was more pronounced in adolescents than in pediatric patients younger than 13 years (189% vs. 59%). CONCLUSION: The utilization of CTs increases from 2001 to 2006, and has declined since 2006. The increase of CTs is more pronounced in adolescents, and facial bone CTs prevail in increased number of examination followed by cervical CTs, abdominal CTs, miscellaneous CTs, chest CTs, and head CTs.
Adolescent ; Child ; Child, Preschool ; Emergency Service, Hospital/statistics & numerical data/*trends ; Female ; Humans ; Male ; Multidetector Computed Tomography ; Republic of Korea ; Tertiary Care Centers/statistics & numerical data/*trends ; Tomography, X-Ray Computed/*trends/utilization

Adolescent ; COVID-19/prevention & control* ; Child ; Child, Preschool ; Emergency Service, Hospital/trends* ; Facilities and Services Utilization/trends* ; Female ; Health Policy ; Humans ; Infant ; Infant, Newborn ; Male ; Pandemics ; Patient Acceptance of Health Care/statistics & numerical data* ; Retrospective Studies ; Singapore/epidemiology*

INTRODUCTIONIntravenous tissue plasminogen activator (tPA) within 3 hours of stroke onset is a licensed proven therapy for ischaemic stroke, with recent trial data showing benefit up to 4.5 hours. We previously published in this journal data of a survey conducted in 2004 showing only 9% of ischaemic stroke patients presenting to the Singapore General Hospital (SGH) arrived within 2 hours of onset. We aimed to determine whether the problem of delayed hospital arrival persists in 2009 and to establish the impact of widening the time window for intravenous tPA to 4.5 hours.

MATERIALS AND METHODSWe prospectively surveyed consecutive ischaemic stroke patients admitted to the SGH from 9th March to 30th April 2009. Patients and/or relatives were interviewed with a standardised form similar to the 2004 survey.

RESULTSAmong the 146 ischaemic stroke patients surveyed (median age 67 years, 59% male, median NIHSS score 2), 6% presented to SGH within 2 hours and 15% within 3.5 hours of onset. Median time from stroke onset to hospital arrival was 1245 minutes (20.75 hours). Pre-hospital consultation was significantly associated with hospital arrival after 2 hours from onset. Main reasons cited for delay were not realising the gravity of symptoms (31%) and not recognising them as stroke (27%).

CONCLUSIONDelayed arrival to SGH following acute ischaemic stroke remains a problem in 2009. This confirms the lack of stroke awareness in Singapore and highlights the need for public stroke education. Furthermore, these data confirm that widening the time window for intravenous tPA treatment to 4.5 hours at SGH will increase its utilisation.

Acute Disease ; therapy ; Aged ; Emergency Service, Hospital ; statistics & numerical data ; Female ; Hospitalization ; trends ; Humans ; Male ; Middle Aged ; Patient Acceptance of Health Care ; statistics & numerical data ; Prospective Studies ; Stroke ; therapy ; Time Factors

INTRODUCTION: We evaluated the impact of public health measures on paediatric emergency department attendances during the COVID-19 and severe acute respiratory syndrome (SARS) outbreaks in Singapore. METHODS: Between 1 January 2020 and 31 July 2020, we retrospectively reviewed paediatric emergency department attendances and admissions in a tertiary paediatric hospital in Singapore before and after a national lockdown to combat the spread of COVID-19 in Singapore. Hospital attendances and admissions were compared with data from a corresponding period in 2019 (1 January 2019 to 31 July 2019), as well as during and after the SARS outbreak (1 January 2003 to 31 December 2004). RESULTS: Compared with a corresponding non-outbreak period, emergency department attendances decreased in line with nationwide public health measures during the COVID-19 and SARS outbreaks (2020 and 2003 respectively), before increasing gradually following lifting of restrictions, albeit not to recorded levels before these outbreaks. During the COVID-19 outbreak, mean daily attendances decreased by 40%, from 458 per day in January-July 2019, to 274 per day in January-July 2020. The absolute number of hospital inpatient admissions decreased by 37% from January-July 2019 (19,629) to January-July 2020 (12,304). The proportion of emergency department attendances requiring admission remained similar: 20% in January-July 2019 and 21% in January-July 2020. CONCLUSION Nationwide public health measures in Singapore have had an impact on paediatric emergency department attendances and hospital inpatient admissions. Data from this study could inform planning and resource allocation for emergency departments in Singapore and internationally.
Adolescent ; COVID-19/prevention & control* ; Child ; Child, Preschool ; Disease Outbreaks ; Emergency Service, Hospital/trends* ; Facilities and Services Utilization/trends* ; Female ; Health Policy ; Humans ; Infant ; Infant, Newborn ; Male ; Patient Acceptance of Health Care/statistics & numerical data* ; Patient Admission/trends* ; Pediatrics ; Retrospective Studies ; Severe Acute Respiratory Syndrome/epidemiology* ; Singapore/epidemiology*

INTRODUCTIONThe emergency department (ED) is often the initial site of identification of patients with sepsis. We aimed to determine the characteristics of ED attendances that predict poor hospital outcomes.

METHODSWe conducted a retrospective cohort study of adult patients in eight metropolitan EDs in Perth, Western Australia, from 2001 to 2006. Patients diagnosed with sepsis in the ED were identified using the International Classification of Diseases, 10th Revision-Australian Modification code in the Emergency Department Information System (EDIS) database. The EDIS database was subsequently linked to mortality and hospital morbidity records. The following characteristics were examined: triage category, mode of arrival, source of referral and hospital of presentation. Multivariate logistic regression was performed to identify predictors of hospital mortality, prolonged length of stay, and admission to the intensive care unit (ICU).

RESULTSIn the 1,311 patients diagnosed with sepsis in the ED, the hospital mortality and ICU admission rates were 19.5% and 18.5%, respectively. The mean hospital length of stay was 12 ± 15 days. Acute triage categories predicted both hospital mortality and ICU admissions, while mode of arrival by ambulance was a predictor of all poor hospital outcomes (p < 0.001). Patients who presented to non-teaching hospitals had similar hospital outcomes as patients who presented to teaching hospitals. The source of referrals was not a predictor of poor hospital outcomes (p > 0.05).

CONCLUSIONMode of arrival and triage score, which are characteristics unique to the ED, may predict poor hospital outcomes in patients with sepsis.

Adult ; Aged ; Australia ; Cohort Studies ; Confidence Intervals ; Emergency Service, Hospital ; Emergency Treatment ; methods ; Female ; Hospital Mortality ; trends ; Humans ; Intensive Care Units ; utilization ; Length of Stay ; Logistic Models ; Male ; Middle Aged ; Multivariate Analysis ; Odds Ratio ; Predictive Value of Tests ; Prognosis ; Retrospective Studies ; Risk Assessment ; Sepsis ; diagnosis ; mortality ; therapy ; Survival Rate ; Treatment Outcome ; Triage ; methods ; Western Australia