Comparing Comorbidity Polypharmacy Score and Charlson Comorbidity Index in predicting outcomes in older trauma patients.

BACKGROUND: The Charlson Comorbidity Index (CCI) and Comorbidity Polypharmacy Score (CPS) may potentially risk-stratify older trauma patients more accurately than traditional trauma severity scores. We aim to evaluate if CCI or CPS are better predictors of mortality and discharge venue in such patients. METHODS: We conducted a retrospective study using registry data from two tertiary trauma centres. Patients aged 65 years and above who presented to the emergency departments (EDs) between January 2011 and December 2015 with traumatic injuries were included. Charts were reviewed for demographics, injury mechanism and severity, discharge outcomes, and types of comorbidities and medications used. Primary outcome was overall mortality; secondary outcomes included ED disposition and hospital discharge venue. Discriminatory power of the score(s) were compared using area under the receiver operating characteristic (AUROC) curve. RESULTS: There were 2,750 patients, with overall female predominance (56.7%, 1,560/2,750) and median age of 78 years (interquartile range [IQR] 72 to 84 years). Median CCI score was 1 (IQR 0 to 2) and median CPS was 8 (IQR 4 to 12). Overall mortality was 9.4% (259/2,750). Every 1-point increase in CCI score resulted in increased odds of death by 16% (adjusted odds ratio 1.16, 95% confidence interval 1.07 to 1.26, p<0.001). Addition of CCI to the Injury Severity Score (ISS) increased the discriminatory power for mortality (AUROC for ISS = 0.832; AUROC for ISS with CCI = 0.843). Every 1-point increase in CCI was significantly associated with decreased odds of admission to a rehab facility by 8%. CPS did not predict mortality and discharge venue. CONCLUSION: CCI, but not CPS, was a predictor of mortality. A higher CCI was associated with decreased odds of discharge to a subacute facility, likely related to underlying rehabilitation potential. Further studies should be undertaken to explore an integrated scoring system that considers injury severity, comorbidities, and polypharmacy.

Epidemiology and outcomes of older trauma patients in Singapore: A multicentre study.

BACKGROUND: An ageing population has caused rising trauma cases amongst older patients. Multiple comorbidities, polypharmacy and limited reserves predispose them to poorer outcomes following a traumatic event. The Comorbidity Polypharmacy Score (CPS) has been found to predict outcomes and mortality in older trauma patients, but has not been studied in Asians. AIM: We aim to describe the epidemiological characteristics of older trauma patients and explore the association of CPS on clinical outcomes. METHODS: We conducted a retrospective observational study using data from the trauma registries of 2 tertiary trauma centres. Patients aged 45 years and above attending the emergency departments (EDs) from January 2011 to December 2015 with traumatic injuries (Injury Severity Score [ISS] of 9 and above) were included. Demographics, clinical data including number of comorbidities and medications used were collected to calculate the CPS. Outcomes of mortality, ED disposition and hospital discharge venue were examined. RESULTS: There were 4,522 patients (median age 70 years; males 53.8%), with majority sustaining Tier 2 injuries (ISS 9 to 15; 68.9%). Falls were the predominant mechanism for those aged above 60 years and above (76%). Median CPS was 6 (interquartile range [IQR] 1 to 11). Amongst patients 75 years and older, 56% comprised the moderate to morbid CPS groups (CPS ≥ 8). Overall mortality was 8.4%; patients above 75 years had longer median length of stay (10 versus 7.1-8.9 days in other ages). Male gender (adjusted odds ratio [aOR] 1.51; 95% confidence interval [CI] 1.12-2.02), increasing age (aOR 1.04; 95% CI 1.03-1.05), injury to abdomen (aOR 3.24; 95% CI 1.93-5.45) and severe CPS category (aOR 1.88; 95% CI 1.23-2.89) were associated with increased odds of death. Increasing age and moderate CPS category increased odds of discharge to a rehabilitation (aOR for age 1.03, 95% CI 1.02-1.04; aOR for moderate CPS 1.72, 95% CI 1.43-2.07) or long-term care facility (aOR for age 1.05, 95% CI 1.03-1.06; aOR for CPS 1.60, 95% CI 1.10-2.32). CONCLUSION: CPS predicted mortality and discharge to a rehabilitation or care facility in this urban, ageing Asian population. Its use may aid future trauma research and needs assessments in such patients.

Geospatial analysis of severe road traffic accidents in Singapore in 2013-2014.

INTRODUCTION: Injury is a significant cause of mortality and morbidity. We aimed to investigate which areas in Singapore have a significantly higher incidence of road traffic accidents (RTA) resulting in severe injuries (Tier 1), which is defined as an Injury Severity Score (ISS) greater than 15, and to develop a spatiotemporal model. METHODS: Data was obtained from the National Trauma Registry. The RTA locations were geomapped onto the Singapore map, and spatial statistical techniques were used to identify hotspots with the Getis-Ord Gi* algorithm. RESULTS: From 1 January 2013 to 31 December 2014, there were 35,673 people who were injured as a result of RTAs and 976 Tier 1 RTA victims. A total of 920 people were included in the geospatial analysis. Another 56 were involved in RTAs that did not occur within Singapore or had missing location data and thus were not included. 745 (81.0%) were discharged alive, whereas 175 (19.0%) did not survive to discharge (median ISS 38.00, interquartile range 30.00-48.00). Most of the Tier 1 RTA victims were motorcycle riders (50.1%, n = 461), pedestrians (21.8%, n = 201) and cyclists (9.9%, n = 91). The majority were male and aged 20-40 years, and there was a peak occurrence at 0600-0759 hours. Nine hotspots were identified (p < 0.01). CONCLUSION: Information from studying hotspots of RTAs, especially those resulting in severe injuries, can be used by multiple agencies to direct resources efficiently.

Reorganising the emergency department to manage the COVID-19 outbreak.

BACKGROUND: The COVID-19 disease outbreak that first surfaced in Wuhan, China, in December 2019, has taken the world by storm and ravaged almost every country in the world. Emergency departments (ED) in hospitals are on the frontlines, serving an essential function in identifying these patients, isolating them early whilst providing urgent medical care. This outbreak has reinforced the role of Emergency Medicine in public health. This paper documents the challenges faced and measures taken by a tertiary hospital's ED in Singapore, in response to the outbreak. MAIN BODY: The ED detected the first case of COVID-19 in Singapore on 22 January 2020 in a Chinese tourist and also the first case of locally transmitted COVID-19 on 3 February 2020. The patient journeys through the patient reception area in the ED and undergoes fever screening before being shunted to isolation areas within the ED. Management and disposition of suspect COVID-19 patients are guided by a close-knit collaboration between ED and department of infectious diseases. With increasing number of patients, back-up plans for expansion of space and staff augmentation have been enacted. Staff safety is also of utmost importance, with provision and guidelines for personal protective equipment and team segregation to ensure no cross-contamination across staff. These have been made possible with an early setup of an operational command and control structure within the ED, managing manpower, logistics, operations, communication and information management and liaison with other clinical departments. CONCLUSION: With the large numbers of undifferentiated patients managed by the ED to date, more than 820 patients with COVID-19 have been identified in the hospital. Not a single member of the staff of the SGH Emergency Department has come down with the illness. The various measures undertaken by the department have helped to ensure good staff morale and strict adherence to safety procedures. We share the lessons learnt so that others who manage EDs around the world can benefit from our experience.

New peril on our roads: a retrospective study of electric scooter-related injuries.

INTRODUCTION: The electric scooter has been gaining popularity locally as a commute mode. We aimed to understand the current landscape of electric scooter-related injuries in Singapore. METHODS: A retrospective review was performed of the medical records of patients seen from 2015 to 2016 at an emergency department (ED) in Singapore. Patient demographics, circumstances of the accident, injuries sustained and clinical progress were analysed. RESULTS: There were 36 cases, all of whom were electric scooter users. The median age was 34 (range 17‒70) years and 66.7% were male. There was a 2.3-fold increase in the number of cases from 2015 to 2016. In 11 (30.6%) of cases, another road user was implicated. Two cases involved the use of protective equipment. 14 (38.9%) cases were conveyed by Emergency Medical Services. In the ED, 4 (11.1%), 17 (47.2%) and 15 (41.7%) cases were triaged as P1 (emergent), P2 (urgent) and P3 (ambulatory), respectively. Investigations were performed in the ED for 31 (86.1%) cases. External injuries were most common (72.2%), followed by extremity injuries (33.3%), with median Abbreviated Injury Scale scores of 1 and 2, respectively. Overall, the median Injury Severity Score was 1. Nine patients were admitted to the hospital with three requiring surgery. The median length of stay was 2 (range 1‒6) days. CONCLUSION: The incidence of electric scooter-related injuries appears to be on the rise and may potentially incur significant morbidity and healthcare costs. Further efforts at safety education and enforcement should be made to prevent accidents and minimise the impact of these injuries.