Literature DB >> 34753753

Prevalence of Alcohol Consumption in Emergency department presentations (PACE) in Queensland, Australia, using alcohol biomarkers ethanol and phosphatidylethanol: an observational study protocol.

Kim A Vuong1,2, Silvia Manzanero3,4, Jacobus P J Ungerer5,6, Gary Mitchell7,8, Brett McWhinney5, Kirsten Vallmuur9,3, Jacelle Warren9,3, Victoria McCreanor9,3, Tegwen Howell10, Clifford Pollard3, Michael Schuetz3,4, Anna Zournazi5, Cate M Cameron9,3.   

Abstract

INTRODUCTION: Alcohol use in patients presenting to the emergency department (ED) is a significant problem in many countries. There is a need for valid and reliable surveillance of the prevalence of alcohol use in patients presenting to the ED, to provide a more complete picture of the risk factors and inform targeted public health interventions. This PACE study will use two biomarkers, blood ethanol and phosphatidylethanol (PEth), to determine the patterns, presence and level of alcohol use in patients presenting to an Australian ED. METHODS AND ANALYSIS: This is an observational prevalence study involving the secondary use of routinely collected blood samples from patients presenting to the Royal Brisbane and Women's Hospital (RBWH) Emergency and Trauma Centre (ETC). Samples will be tested for acute and medium-term alcohol intake using the two biomarkers blood ethanol and PEth respectively, over one collection period of 10-12 days. Descriptive statistics such as frequencies, percentages, means, SD, medians and IQRs, will be used to describe the prevalence, pattern and distribution of acute and medium-term alcohol intake in the study sample. The correlation between acute and medium-term alcohol intake levels will also be examined. ETHICS AND DISSEMINATION: This study has been approved by the RBWH Human Research Ethics Committee (reference, LNR/2019/QRBW/56859). Findings will be disseminated to key stakeholders such as RBWH ETC, Australasian College for Emergency Medicine, Royal Australasian College of Surgeons, Statewide Clinical Networks, and used to inform clinicians and hospital services. Findings will be submitted for publication in peer-reviewed journals and presentation at appropriate conferences. © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  accident & emergency medicine; epidemiology; public health

Mesh:

Substances:

Year:  2021        PMID: 34753753      PMCID: PMC8578965          DOI: 10.1136/bmjopen-2020-047887

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


A novel surveillance approach comparing acute and medium-term alcohol use in patients presenting to the emergency department. Institutional approval for a waiver of consent was obtained which addresses the limitations of other studies such as low consent rates, self-report bias and resource intensive data collection methods. Objective data collection method. Clinical care received by patients will not be affected as staff will not be informed of the study details and will not know the sampling dates. Data will only be collected during a single sampling period of 10–12 days due to budget constraints.

Introduction

Harmful alcohol use is one of the leading risk factors for population health worldwide.1 In Australia, harmful alcohol use results in more than 144 000 hospitalisations and 70 000 victims of alcohol-related assaults, with 24 000 attributed to alcohol-related domestic violence. These harms are estimated to cost the nation $36 billion annually.2 Alcohol-involved presentations to the emergency department (ED) constitute a significant public health problem in many countries such as the USA,3 Ireland4 and Australia,5 6 impacting ED workloads,5 patient management and treatment,5 as well as having considerable safety implications for first responders and ED staff.5 6 Routine collection of alcohol data in ED presentations would enable trend monitoring, identify contributing risk factors at hospital presentation, and inform the development of appropriate public health interventions. For instance, the ability to monitor trends in alcohol-related ED presentations was demonstrated in the USA using a nationwide dataset, the Nationwide Emergency Department Sample, which records acute and chronic alcohol-related data.7 Despite these potential advantages, in Queensland, Australia there is no objective measurement of alcohol and other drug involvement in ED presentations.8 The rationale against routinely testing for, or recording, alcohol presence in patients in the ED, especially patients with altered levels of consciousness, primarily stems from the potential to bias clinical decision making or prematurely ruling out differential diagnoses due to a presumption that the patient’s condition is due to acute alcohol consumption.9 Blood ethanol, the most frequently used biomarker of alcohol use, may not always accurately reflect the patient’s ethanol exposure. Due to its relatively short half-life in blood, it is only a snapshot of the blood alcohol level at that moment in time.10 11 For a complete picture of the impact of alcohol use in ED presentations, patients with medium or long-term high alcohol consumption must also be identified. This is currently not possible without the use of screening tools and patient self-report surveys, both with limitations.12–15 A relatively new test for the biomarker phosphatidylethanol (PEth), with excellent sensitivity and specificity,10 16 may provide more reliable detection of alcohol intake than blood ethanol. As a marker of medium-term and long-term alcohol use, PEth levels can indicate a person’s ‘average’ alcohol consumption during the previous 2–4 weeks.10 11 17 As such, the PEth test could be the tool required to quantify medium to long-term alcohol exposure and its impact on hospital presentations. Routine blood alcohol testing has potential value for service provision and risk management in the ED, in addition to providing evidence for prevention in public health.18 Identifying medium and long-term alcohol use in patients would also improve our current understanding of intoxication (immediate vs longer-term consumption) among ED presentations. Using both blood ethanol and PEth as alcohol markers, this PACE study addresses the gap in knowledge about the prevalence of both immediate alcohol consumption and longer-term alcohol use in patients who present to the ED.

Methods and analysis

Study design

Observational prevalence study. This study involves the secondary use of blood and serum samples, collected from patients presenting to the Royal Brisbane and Women’s Hospital (RBWH) Emergency and Trauma Centre (ETC) in Brisbane, Queensland, Australia. From herein, ETC will be referred to as ED. The RBWH is a tertiary referral hospital and is one of the busiest hospitals in the State, treating local patients as well as patients from other States within a 2200 km radius. The RBWH ED sees the largest volume of patients annually in Australia with over 82 000 presentations.19 The design of this study, summarised in figure 1, will include approximately 975 blood samples collected over a 10 to 12-day period, to be tested for both alcohol exposure markers: blood ethanol and PEth.
Figure 1

The collection of blood samples from patients presenting to the Royal Brisbane and Women’s Hospital (RBWH) Emergency and Trauma Centre (ETC) study design. EDIS, Emergency Department Information System; ID, identification.

The collection of blood samples from patients presenting to the Royal Brisbane and Women’s Hospital (RBWH) Emergency and Trauma Centre (ETC) study design. EDIS, Emergency Department Information System; ID, identification. The RBWH ED staff will be aware of the study, but will not be informed of the details and will not know the dates during which sampling will occur. This is to prevent the occurrence of a Hawthorne effect,20 where staff might change the frequency of blood testing during the study period if aware of the specifics of the study. No change will be made to the usual care of patients presenting to the ED. The study blood ethanol and PEth test results will be protected from release until the sampling period has ended to ensure results do not affect the clinical management of patients.

Sample size

Approximately 40% of patients presenting to the RBWH ED have blood samples taken during their presentation, usually including a full blood count and other biochemistry testing as part of routine clinical care, resulting in 950–1000 samples potentially available for testing during a 1-week period (MN Clinical Costing and Reporting Unit, RBWH ETC Presentations 2019). To enable coverage of all days of the week, and allow for the likelihood of missed samples, a minimum total of 975 samples will be obtained over the study period.

Blood sample collection and storage

RBWH ED blood samples are routinely sent to Pathology Queensland for processing. During the study period, Pathology Queensland Research Unit staff will intercept and separate an aliquot from the full blood and serum samples for frozen storage to subsequently undertake batch ethanol and PEth testing. Pathology Queensland will create a unique Study ID and linkage key which will be kept on a secure server. For each sample, Pathology Queensland will record details such as patient unit record number, laboratory number, presentation date and Study ID which will be sent to the ED data manager to extract demographic and clinical information. Blood samples will be stored at −80°C, the recommended temperature to ensure stability.21 Testing will be conducted eight to twelve weeks after the sampling period.

Blood sample testing methods

A validated ultra-performance liquid chromatography tandem mass spectrometry method for quantification of PEth 16:0/18:1, 16:0/18:2, 18:1/18:1 in the range 0–2000 µg/L will be used. The PEth 16:0/18:1, 16:0/18:2, 18:1/18:1 and the internal standard (IS) phosphatidylmethanol 18:1/18:1 (250 µg/L), are extracted from whole blood (150 µL) by simple protein precipitation with 2-propanol (450 µL). Chromatography is achieved using an Acquity BEH-C8 (2.1×50 mm, 1.7 µm) column. PEth concentration will be measured by a Waters TQS mass spectrometer (Water Corporation, Milford, Massachusetts, USA) operating in negative mode with multiple reaction monitoring for specific transitions for each analyte. The coefficient of variation (CV), as an indication of within-assay and between-assay imprecision, is ≤8.0% and the limit of blank is 1.0 µg/L. Recoveries are 98%–102% (CV ≤4.0%). Repeated freezing (−80°C) and thawing does not affect the concentration.22 Serum ethanol will be measured by an enzymatic rate assay on Beckman Coulter Synchron Clinical Systems.23 Within-assay and between-assay CV is ≤10.0% across two levels of ethanol 11.9 and 32.0 mmol/L.

Data collection

Data will be collected over one collection period of 10–12 days and will include a public holiday weekend, working week and a non-public holiday weekend. To minimise the impact of the current COVID-19 pandemic on results, data will not be collected during any period when there is a locally impacting lockdown or coronavirus outbreak. For all patients presenting to the ED during the study period (including those who have blood samples collected and those who do not), demographic, clinical presentation and costing data will be internally extracted from the Emergency Department Information System and the health services administrative database. Demographic factors such as age, gender, identifying as Aboriginal and/or Torres Strait Islander, and postcode of usual residence will be extracted. Clinical information will include date and time of presentation and discharge, the presenting problem and nurse assessment fields (free text), principal diagnosis code (International Classification of Diseases, Tenth Edition, Australian Modification), presenting complaint code, funding source and whether the patient was admitted to hospital. Only de-identified test results and linked extracted datasets will be returned to the study researchers for analysis (figure 1).

Data analysis

The primary analysis will be to: Describe the prevalence, pattern and distribution of alcohol and PEth levels in the study sample over the inclusion period. Prevalence estimates will include 95% confidence limits based on the Wilson method.24 Cases will be described by clinical presentation using the principal diagnosis groups as well as demographic distributions using appropriate descriptive statistics (frequencies, percentages, means, SD, medians and IQRs). Since the COVID-19 context is likely to impact presentations to the ED, COVID-19-related presentations will be reported and excluded from the results. The secondary analysis will: Assess the correlation between blood ethanol and PEth results using the Spearman method. Describe the association between test results and alcohol-related ICD coded primary diagnoses in the clinical data. Compare the demographic and clinical characteristics of the study sample with the patients who present to the ED during the same period but do not undergo blood sampling or whose samples are not redirected for study testing. These comparisons will determine how representative the sample is to the population, thus informing the generalisability of the findings. The blood alcohol concentration (BAC) levels will be guided by the BAC cut-offs and associated short-term effects on an Australian Government website by the Department of Health.25 BAC levels are categorised as: light: BAC 0.01 to <0.05; significant: BAC 0.05 to 0.30 and potential coma/death: BAC >0.30. PEth levels are categorised according to Ulwelling and Smith11: light or no consumption (<20 ng/mL); significant consumption (20–200 ng/mL) and heavy consumption (>200 ng/mL).

Patient and public involvement

This study relies solely on the secondary use of routinely collected blood and serum samples from patients presenting to the ED, as such, there will be no direct patient involvement in this study.

Discussion

Alcohol use in patients presenting to the ED is a significant public health problem and yet little is known about the prevalence of both acute and longer-term alcohol exposure in the context of hospital presentations and health service use. To monitor trends and respond with appropriate public health interventions, there is a need for valid and reliable indicators of alcohol use in patients presenting to the ED. Despite there being a growing body of research on alcohol-involved presentations in EDs in Australia,5–7 12–15 26 27 many of these studies have been point-prevalence surveys based on screening tools and patient self-report.12–15 These studies are resource-intensive,12–15 sometimes requiring dedicated staff on-site in the ED for 24-hour time periods to enable comprehensive patient screening, consent and interviews. Furthermore, low consent rates bias study validity, and data collection based on self-reporting of risky behaviour has been shown to result in flawed measurements and an underestimation of the true prevalence.13 14 28 29 To address these methodological challenges, a waiver of consent was obtained from our institution’s research ethics committee for the secondary testing of blood samples obtained from routine clinical care in patients presenting to the ED. In addition to the waiver of consent, approval was obtained for the release of confidential information for the purposes of research under the provision of section 280 of Public Health Act 2005, Queensland. Obtaining a waiver of consent is a key approach and strength of this study as it allows for the collection of objective data on the presence and levels of alcohol use in patients presenting to the ED. Additionally, removing the need for individual consent will reduce bias and minimise the resource intensity and logistical challenges of previous studies.13 14 28 Finally, this study will not affect the clinical care participants receive, because care providers will not be aware of the purpose of the study nor be able to access the test results. Another novel approach of this study is the comparison of immediate and ongoing alcohol use indicated in ED presentations. Ethanol has a relatively short half-life in blood,10 11 and levels may not always accurately reflect the alcohol exposure relevant to a patient’s presentation to the ED. Although the use of PEth tests in determining alcohol consumption in EDs is limited (one other study known),17 studies have demonstrated more specificity and sensitivity compared with other biomarkers for alcohol use.10 16 The availability of reliable data on alcohol use and levels could provide a more complete picture of the risk factors present when patients attend the ED, enable early recognition and intervention and inform both clinical practice guidelines and targeted public health interventions and monitoring. Further, findings from this study may be used to compare the prevalence of alcohol use to other studies that are similar in context (ie, prevalence of alcohol using breath tests).12 The use of the novel approach taken in this study will address the limitations of other study methods, such as low consent rates, self-report bias and resource intensive data collection methods. While this novel method of using both blood ethanol and PEth biomarkers is promising, there are some limitations that should be addressed. Results that use the proposed alcohol consumption categories (light, significant, heavy) in this study should be interpreted with care, as a recent short period of heavy drinking may display the same reading as ongoing heavy drinking. Therefore, the information from blood ethanol tests in conjunction with available clinical data (eg, primary diagnosis of alcohol gastritis) may provide a more complete picture of the findings than PEth levels alone. Further, a limitation of all long-term markers is that they do not accurately reflect the pattern of blood concentrations over time. Although PEth levels may not accurately reflect the pattern of ethanol intake, PEth levels are directly proportional to the concentration of ethanol and the time of exposure,17 30 and PEth levels can distinguish between abstinence, moderate and high ethanol intake. As no perfect marker exists to monitor and/or quantify the use of alcohol,17 31 32 each marker has limitations, and results should be interpreted within the limitations of each marker used. A second limitation is that it may not be cost-effective to conduct all year round, but rather, could be used for periodic sampling to monitor trends. For example, testing could be conducted during certain holiday periods or weekends when alcohol consumption is more prevalent. Such information could be used to inform targeted public health interventions to reduce harmful alcohol use. If this methodological approach were to be used in the future for periodic sampling to monitor trends, future research could undertake consultation with patients and/or clinicians to examine any potential concerns about the secondary use of blood samples.
  24 in total

1.  A time series analysis of alcohol-related presentations to emergency departments in Queensland following the increase in alcopops tax.

Authors:  Steve Kisely; David Lawrence
Journal:  J Epidemiol Community Health       Date:  2015-09-16       Impact factor: 3.710

2.  Social desirability biases in self-reported alcohol consumption and harms.

Authors:  Christopher G Davis; Jennifer Thake; Natalie Vilhena
Journal:  Addict Behav       Date:  2009-11-10       Impact factor: 3.913

3.  A comparison of methods to identify alcohol involvement in youth injury-related emergency department presentation data.

Authors:  Kirsten Vallmuur; Jesani Limbong; Ruth Barker; Leanne Hides
Journal:  Drug Alcohol Rev       Date:  2013-05-06

4.  Alcohol-Related Visits to US Emergency Departments, 2001-2011.

Authors:  Peter M Mullins; Maryann Mazer-Amirshahi; Jesse M Pines
Journal:  Alcohol Alcohol       Date:  2016-10-07       Impact factor: 2.826

5.  Monitoring of the alcohol biomarkers PEth, CDT and EtG/EtS in an outpatient treatment setting.

Authors:  Anders Helander; Oszkár Péter; Yufang Zheng
Journal:  Alcohol Alcohol       Date:  2012-06-12       Impact factor: 2.826

6.  The role of patient involvement in the diagnostic process in internal medicine: a cognitive approach.

Authors:  Claudio Lucchiari; Gabriella Pravettoni
Journal:  Eur J Intern Med       Date:  2013-02-17       Impact factor: 4.487

7.  Perceptions of Australasian emergency department staff of the impact of alcohol-related presentations.

Authors:  Diana Egerton-Warburton; Andrew Gosbell; Angela Wadsworth; Katie Moore; Drew B Richardson; Daniel M Fatovich
Journal:  Med J Aust       Date:  2016-03-07       Impact factor: 7.738

Review 8.  The PEth Blood Test in the Security Environment: What it is; Why it is Important; and Interpretative Guidelines.

Authors:  William Ulwelling; Kim Smith
Journal:  J Forensic Sci       Date:  2018-07-13       Impact factor: 1.832

9.  The Impact of Alcohol Restriction on Hospital and Emergency Department Service Utilizations in Two Remote Towns in the Kimberley Region of Western Australia.

Authors:  Wenxing Sun; Le Jian; Jianguo Xiao; Grant Akesson; Peter Somerford
Journal:  Front Public Health       Date:  2019-02-26

Review 10.  Systematic review of the Hawthorne effect: new concepts are needed to study research participation effects.

Authors:  Jim McCambridge; John Witton; Diana R Elbourne
Journal:  J Clin Epidemiol       Date:  2013-11-22       Impact factor: 6.437

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