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Cardiovascular disease and COVID‐19: Australian and New Zealand consensus statement

Sarah Zaman, Andrew I MacIsaac, Garry LR Jennings, Markus P Schlaich, Sally C Inglis, Ruth Arnold, Saurabh Kumar, Liza Thomas, Sudhir Wahi, Sidney Lo, Carolyn Naismith, Stephen J Duffy, Stephen J Nicholls, Andrew Newcomb, Aubrey A Almeida, Selwyn Wong, Mayanna Lund, Derek P Chew, Leonard Kritharides, Clara K Chow and Ravinay Bhindi
Med J Aust 2020; 213 (4): . || doi: 10.5694/mja2.50714
Published online: 17 August 2020

Abstract

Introduction: The coronavirus 2019 disease (COVID‐19) pandemic is caused by severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Pre‐existing cardiovascular disease (CVD) increases the morbidity and mortality of COVID‐19, and COVID‐19 itself causes serious cardiac sequelae. Strategies to minimise the risk of viral transmission to health care workers and uninfected cardiac patients while prioritising high quality cardiac care are urgently needed. We conducted a rapid literature appraisal and review of key documents identified by the Cardiac Society of Australia and New Zealand Board and Council members, the Australian and New Zealand Society of Cardiac and Thoracic Surgeons, and key cardiology, surgical and public health opinion leaders.

Main recommendations: Common acute cardiac manifestations of COVID‐19 include left ventricular dysfunction, heart failure, arrhythmias and acute coronary syndromes. The presence of underlying CVD confers a five‐ to tenfold higher case fatality rate with COVID‐19 disease. Special precautions are needed to avoid viral transmission to this population at risk. Adaptive health care delivery models and resource allocation are required throughout the health care system to address this need.

Changes in management as a result of this statement: Cardiovascular health services and cardiovascular health care providers need to recognise the increased risk of COVID‐19 among CVD patients, upskill in the management of COVID‐19 cardiac manifestations, and reorganise and innovate in service delivery models to meet demands. This consensus statement, endorsed by the Cardiac Society of Australia and New Zealand, the Australian and New Zealand Society of Cardiac and Thoracic Surgeons, the National Heart Foundation of Australia and the High Blood Pressure Research Council of Australia summarises important issues and proposes practical approaches to cardiovascular health care delivery to patients with and without SARS‐CoV‐2 infection.

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Are we behind the times on cardiovascular risk assessment in Australia?

Harry Klimis and Clara K Chow
Med J Aust 2020; 213 (4): . || doi: 10.5694/mja2.50711
Published online: 17 August 2020

Our approach to estimating risk in some patients should be updated and the role of coronary artery calcium scoring evaluated

While about one in five Australians aged 45–74 years are at high absolute cardiovascular risk, fewer than half of these people are taking lipid‐ and blood pressure‐lowering medications.1,2 New Medicare Benefits Schedule items for heart health checks (items 699 and 177) were introduced to reduce this gap,3 but the problem remains that recommended risk calculators are inaccurate and misclassification rates are high.4


  • 1 Westmead Applied Research Centre, University of Sydney, Sydney, NSW
  • 2 Westmead Hospital, Sydney, NSW
  • 3 Westmead Clinical School, University of Sydney, Sydney, NSW


Correspondence: clara.chow@sydney.edu.au

Acknowledgements: 

Harry Klimis is supported by a Royal Australian College of Physicians Fellows Research Entry Scholarship and a Research Training Program Scholarship. Clara Chow is supported by a National Health and Medical Research Council Career Development Award (APP1105447) co‐funded by a Future Leader Fellowship from the National Heart Foundation.

Competing interests:

No relevant disclosures.

  • 1. Chow CK, Rodgers A. Lost in translation: the gap between what we know and what we do about cardiovascular disease. Med J Aust 2016; 204: 291–292. https://www.mja.com.au/journal/2016/204/8/lost-translation-gap-between-what-we-know-and-what-we-do-about-cardiovascular
  • 2. Banks E, Crouch SR, Korda RJ, et al. Absolute risk of cardiovascular disease events, and blood pressure‐ and lipid‐lowering therapy in Australia. Med J Aust 2016; 204: 320. https://www.mja.com.au/journal/2016/204/8/absolute-risk-cardiovascular-disease-events-and-blood-pressure-and-lipid
  • 3. National Heart Foundation of Australia. Cardiovascular disease (CVD) risk assessment and management. 2019. https://www.heartfoundation.org.au/conditions/cvd-risk-assessment-and-management (viewed May 2020).
  • 4. Albarqouni L, Doust JA, Magliano D, et al. External validation and comparison of four cardiovascular risk prediction models with data from the Australian Diabetes, Obesity and Lifestyle study. Med J Aust 2019; 210: 161–167. https://www.mja.com.au/journal/2019/210/4/external-validation-and-comparison-four-cardiovascular-risk-prediction-models
  • 5. D'Agostino RB, Grundy S, Sullivan LM, Wilson P; CHD Risk Prediction Group. Validation of the Framingham coronary heart disease prediction scores: results of a multiple ethnic groups investigation. JAMA 2001; 286: 180–187.
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  • 9. US Preventive Services Task Force. Cardiovascular disease: risk assessment with nontraditional risk factors. JAMA 2018; 320: 272–280.
  • 10. Budoff MJ, Young R, Burke G, et al. Ten‐year association of coronary artery calcium with atherosclerotic cardiovascular disease (ASCVD) events: the multi‐ethnic study of atherosclerosis (MESA). Eur Heart J 2018; 39: 2401–2408.
  • 11. Nasir K, Bittencourt MS, Blaha MJ, et al. Implications of coronary artery calcium testing among statin candidates according to American College of Cardiology/American Heart Association cholesterol management guidelines: MESA (Multi‐Ethnic Study of Atherosclerosis). J Am Coll Cardiol 2015; 66: 1657–1668.
  • 12. Rozanski A, Gransar H, Shaw LJ, et al. Impact of coronary artery calcium scanning on coronary risk factors and downstream testing. J Am Coll Cardiol 2011; 57: 1622–1632.
  • 13. Hamilton‐Craig CR, Chow CK, Younger JF, et al. Cardiac Society of Australia and New Zealand position statement executive summary: coronary artery calcium scoring. Med J Aust 2017; 207: 357–361. https://www.mja.com.au/journal/2017/207/8/cardiac-society-australia-and-new-zealand-position-statement-executive-summary
  • 14. Venkataraman P, Stanton T, Liew D, et al. Coronary artery calcium scoring in cardiovascular risk assessment of people with family histories of early onset coronary artery disease. Med J Aust 2020; 213: 170–177.
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First Nations peoples leading the way in COVID‐19 pandemic planning, response and management

Kristy Crooks, Dawn Casey and James S Ward
Med J Aust 2020; 213 (4): . || doi: 10.5694/mja2.50704
Published online: 17 August 2020

Engaging First Nations peoples in public health emergencies is critical to reducing health inequities

Aboriginal and Torres Strait Islander (respectfully hereafter First Nations) peoples of Australia have experienced poorer health outcomes than the rest of the Australian population during recent pandemics.1,2 In 2009, during the H1N1 influenza pandemic, diagnosis rates, hospitalisations and intensive care unit admissions occurred at five, eight and three times, respectively, the rates recorded among non‐Indigenous people.1,2,3

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  • 1 Menzies School of Health Research, Charles Darwin University, Darwin, NT
  • 2 National Aboriginal Community Controlled Health Organisation, Canberra, ACT
  • 3 University of Queensland, Brisbane, QLD



Acknowledgements: 

We acknowledge the traditional custodians of the land and waters on which we live and work as the First Peoples of Australia. We are members of the Aboriginal and Torres Strait Islander Advisory Group on COVID‐19 and we acknowledge and thank all members of the Advisory Group for their continued work and commitment in advocating for cultural inclusion and providing space for First Nations peoples to have a voice in pandemic planning, response and management.

Competing interests:

No relevant disclosures.

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Unemployment, suicide and COVID‐19: using the evidence to plan for prevention

Mark Deady, Leona Tan, Nathasha Kugenthiran, Daniel Collins, Helen Christensen and Samuel B Harvey
Med J Aust 2020; 213 (4): . || doi: 10.5694/mja2.50715
Published online: 3 August 2020

COVID‐19‐related unemployment may significantly increase suicide rates; implementation of appropriate preventive measures is critical

In response to the coronavirus disease 2019 (COVID‐19) pandemic, the imposition of social distancing policies and related labour market impacts have resulted in extensive job losses. Globally, the International Monetary Fund has predicted the steepest economic downturn since the Great Depression.1 In May 2020, 2.3 million Australians (one in five employed people) were either unemployed or had work hours reduced for economic reasons, resulting in the steepest rise in rates of unemployment on record — a change from 5.2% in March to 7.1%2 — with Treasury predicting a rate of 8% by September 2020.

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  • 1 Black Dog Institute, UNSW, Sydney, NSW
  • 2 UNSW, Sydney, NSW


Correspondence: m.deady@unsw.edu.au

Acknowledgements: 

Mark Deady, Leona Tan and Samuel Harvey are funded by an icare Foundation grant. Samuel Harvey is also supported by a National Health and Medical Research Council (NHMRC) investigator grant (No. 1178666). The authors are additionally supported by the NHMRC Centre for Research Excellence in Suicide Prevention. The funding institutions had no role in the planning, writing or publication of this work.

Competing interests:

No relevant disclosures.

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  • 14. Krysinska K, Batterham PJ, Tye M, et al. Best strategies for reducing the suicide rate in Australia. Aust N Z J Psychiatry 2016; 50: 115–118.
  • 15. Torok M, Han J, Baker S, et al. Suicide prevention using self‐guided digital interventions: a systematic review and meta‐analysis of randomised controlled trials. Lancet Digit Health 2020; 2: e25–e36.
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Recruiting and retaining general practitioners in rural practice: systematic review and meta‐analysis of rural pipeline effects

Jessica Ogden, Scott Preston, Riitta L Partanen, Remo Ostini and Peter Coxeter
Med J Aust 2020; 213 (5): . || doi: 10.5694/mja2.50697
Published online: 3 August 2020

Abstract

Objective: To synthesise quantitative data on the effects of rural background and experience in rural areas during medical training on the likelihood of general practitioners practising and remaining in rural areas.

Study design: Systematic review and meta‐analysis of the effects of rural pipeline factors (rural background; rural clinical and education experience during undergraduate and postgraduate/vocational training) on likelihood of later general practice in rural areas.

Data sources: MEDLINE (Ovid), EMBASE, Informit Health Collection, and ERIC electronic database records published to September 2018; bibliographies of retrieved articles; grey literature.

Data synthesis: Of 6709 publications identified by our search, 27 observational studies were eligible for inclusion in our systematic review; when appropriate, data were pooled in random effects models for meta‐analysis. Study quality, assessed with the Newcastle–Ottawa scale, was very good or good for 24 studies, satisfactory for two, and unsatisfactory for one. Meta‐analysis indicated that GPs practising in rural communities was significantly associated with having a rural background (odds ratio [OR], 2.71; 95% CI, 2.12–3.46; ten studies) and with rural clinical experience during undergraduate (OR, 1.75; 95% CI, 1.48–2.08; five studies) and postgraduate training (OR, 4.57; 95% CI, 2.80–7.46; eight studies).

Conclusion: GPs with rural backgrounds or rural experience during undergraduate or postgraduate medical training are more likely to practise in rural areas. The effects of multiple rural pipeline factors may be cumulative, and the duration of an experience influences the likelihood of a GP commencing and remaining in rural general practice. These findings could inform government‐led initiatives to support an adequate rural GP workforce.

Protocol registration: PROSPERO, CRD42017074943 (updated 1 February 2018).

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  • 1 General Practice Training Queensland, Brisbane, QLD
  • 2 Rural Clinical School, University of Queensland, Hervey Bay, QLD
  • 3 Rural Clinical School, University of Queensland, Toowoomba, QLD


Correspondence: spreston@gptq.qld.edu.au

Competing interests:

No relevant disclosures.

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Unintended consequences of using real time prescription monitoring systems

Sarah Haines, Michael Savic, Louisa Picco, Suzanne Nielsen and Adrian Carter
Med J Aust 2020; 213 (3): . || doi: 10.5694/mja2.50616
Published online: 3 August 2020

To the Editor: More Australians die of prescription medication overdose than of illicit drug use or motor vehicle accidents.1 Real time prescription monitoring systems have been recommended to track patients’ supply history for potentially high risk medicines, including strong opioids and benzodiazepines. These programs aim to assist in the early identification of high risk medicine use to inform clinical care, and have received broad support from pharmacy and medical professional groups.


  • 1 Turner Institute for Brain and Mental Health, Monash University, Melbourne, VIC
  • 2 Turning Point, Eastern Health and Monash University, Melbourne, VIC
  • 3 Monash Addiction Research Centre, Monash University, Melbourne, VIC


Correspondence: Sarah.Haines@monash.edu

Competing interests:

No relevant disclosures.

  • 1. Department of Health and Human Services. Regulatory impact statement — proposed drugs, poisons and controlled substances amendment (real‐time prescription monitoring). Melbourne: Victoria State Government, 2018. https://www2.health.vic.gov.au/about/publications/ResearchAndReports/rtpm-regulatory-impact-statement (viewed Apr 2020).
  • 2. Fink DS, Schleimer JP, Sarvet A, et al. Association between prescription drug monitoring programs and nonfatal and fatal drug overdoses: a systematic review. Ann Intern Med 2018; 168: 783–790.
  • 3. James JR, Scott JM, Klein JW, et al. Mortality after discontinuation of primary care‐based chronic opioid therapy for pain: a retrospective cohort study. J Gen Intern Med 2019; 34: 2749–2755.
  • 4. Tsai AC, Kiang MV, Barnett ML, et al. Stigma as a fundamental hindrance to the United States opioid overdose crisis response. PLoS Med 2019; 16: e1002969.
  • 5. Bauer M, Monteith S, Geddes J, et al. Automation to optimise physician treatment of individual patients: examples in psychiatry. Lancet Psychiatry 2019; 6: 338–349.
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Reusing N95 (or P2) masks: current evidence and urgent research questions

James M Branley, Adam Polkinghorne and Gwendolyn L Gilbert
Med J Aust 2020; 213 (3): . || doi: 10.5694/mja2.50694
Published online: 3 August 2020

To the Editor: The coronavirus disease 2019 (COVID‐19) pandemic is placing increasing pressure on the health care resources of nations. Particular concern is held for supplies of N95 (or P2) masks and surgical masks — personal protective equipment designed to achieve close facial fit and protection from more than 95% of 0.3 μm test particles. These masks are recommended for routine care of patients on airborne precautions, with current guidelines indicating that N95 masks are single use.1 Further highlighting the importance of N95 masks in protecting health care workers during the COVID‐19 pandemic, a recent study of severe acute respiratory syndrome coronavirus 2 (SARS‐CoV2) infection rates among medical staff in Zhongnan Hospital of Wuhan University showed that none of the staff (0/278) who wore N95 masks and followed frequent disinfection and handwashing became infected during the period of 2–22 January 2020 compared with 4.7% (10/231) of staff who did not wear masks, despite the fact that the latter group worked in lower risk areas.2

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  • 1 Nepean Hospital, Sydney, NSW
  • 2 University of Sydney, Sydney, NSW
  • 3 Marie Bashir Institute for Infectious Diseases and Biosecurity, University of Sydney, Sydney, NSW



Competing interests:

No relevant disclosures.

  • 1. National Health and Medical Research Council. Australian guidelines for the prevention and control of infection in healthcare (2019). Canberra: NHMRC, 2019. https://nhmrc.govcms.gov.au/about-us/publications/australian-guidelines-prevention-and-control-infection-healthcare-2019 (viewed June 2020).
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Management of adult cardiac arrest in the COVID‐19 era: consensus statement from the Australasian College for Emergency Medicine

Simon Craig, Mya Cubitt, Ashish Jaison, Steven Troupakis, Natalie Hood, Christina Fong, Adnan Bilgrami, Peter Leman, Juan Carlos Ascencio‐Lane, Guruprasad Nagaraj, John Bonning, Gabriel Blecher, Rob Mitchell, Ellen Burkett, Sally M McCarthy, Amanda M Rojek, Kim Hansen, Helen Psihogios, Peter Allely, Simon Judkins, Lai Heng Foong, Stephen Bernard and Peter A Cameron
Med J Aust 2020; 213 (3): . || doi: 10.5694/mja2.50699
Published online: 3 August 2020

Abstract

Introduction: The global pandemic of coronavirus disease 2019 (COVID‐19) has caused significant worldwide disruption. Although Australia and New Zealand have not been affected as much as some other countries, resuscitation may still pose a risk to health care workers and necessitates a change to our traditional approach. This consensus statement for adult cardiac arrest in the setting of COVID‐19 has been produced by the Australasian College for Emergency Medicine (ACEM) and aligns with national and international recommendations.

Main recommendations:

  • In a setting of low community transmission, most cardiac arrests are not due to COVID‐19.
  • Early defibrillation saves lives and is not considered an aerosol generating procedure.
  • Compression‐only cardiopulmonary resuscitation is thought to be a low risk procedure and can be safely initiated with the patient's mouth and nose covered.
  • All other resuscitative procedures are considered aerosol generating and require the use of airborne personal protective equipment (PPE).
  • It is important to balance the appropriateness of resuscitation against the risk of infection.
  • Methods to reduce nosocomial transmission of COVID‐19 include a physical barrier such as a towel or mask over the patient's mouth and nose, appropriate use of PPE, minimising the staff involved in resuscitation, and use of mechanical chest compression devices when available.
  • If COVID‐19 significantly affects hospital resource availability, the ethics of resource allocation must be considered.

 

Changes in management: The changes outlined in this document require a significant adaptation for many doctors, nurses and paramedics. It is critically important that all health care workers have regular PPE and advanced life support training, are able to access in situ simulation sessions, and receive extensive debriefing after actual resuscitations. This will ensure safe, timely and effective management of the patients with cardiac arrest in the COVID‐19 era.

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  • 1 Monash Health, Melbourne, VIC
  • 2 Monash University, Melbourne, VIC
  • 3 Royal Melbourne Hospital, Melbourne, VIC
  • 4 Centre for Integrated Critical Care, University of Melbourne, Melbourne, VIC
  • 5 Emergency and Trauma Centre, Alfred Health, Melbourne, VIC
  • 6 Epworth HealthCare, Melbourne, VIC
  • 7 Surf Life Saving Australia, Sydney, NSW
  • 8 Fiona Stanley Hospital, Perth, WA
  • 9 University of Western Australia, Perth, WA
  • 10 Royal Hobart Hospital, Hobart, TAS
  • 11 University of Tasmania, Hobart, TAS
  • 12 South Western Emergency Research Institute, Liverpool Hospital, Sydney, NSW
  • 13 University of New South Wales, Sydney, NSW
  • 14 Australasian College for Emergency Medicine, Melbourne, VIC
  • 15 Council of Medical Colleges of Aotearoa New Zealand, Wellington, New Zealand
  • 16 Monash Medical Centre, Melbourne, VIC
  • 17 Princess Alexandra Hospital, Brisbane, QLD
  • 18 Clinical Excellence Queensland, Brisbane, QLD
  • 19 Prince of Wales Hospital and Community Health Services, Sydney, NSW
  • 20 Centre for Integrated Critical Care, University of Melbourne, Melbourne, VIC
  • 21 St Andrew's War Memorial Hospital, Brisbane, QLD
  • 22 Prince Charles Hospital, Brisbane, QLD
  • 23 Sir Charles Gairdner Hospital, Perth, WA
  • 24 Austin Hospital, Melbourne, VIC
  • 25 Bankstown–Lidcombe Hospital, Sydney, NSW
  • 26 University of Western Sydney, Sydney, NSW
  • 27 Centre for Research and Evaluation, Ambulance Victoria, Melbourne, VIC



Acknowledgements: 

The authors would like to acknowledge the assistance of the following ACEM staff in the production of this consensus statement: Robert Lee, Nicola Ballenden, Andrea Johnston and Belinda Rule.

Competing interests:

No relevant disclosures.

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Clinical trials for the prevention and treatment of COVID‐19: current state of play

Joshua S Davis, David Ferreira, Justin T Denholm and Steven YC Tong
Med J Aust 2020; 213 (2): . || doi: 10.5694/mja2.50673
Published online: 20 July 2020

Summary

  • Since coronavirus disease 2019 (COVID‐19) emerged in Wuhan, China in December 2019 and spread around the world, over 1100 clinical studies have been registered globally on clinical trials registries, including over 500 randomised controlled trials.
  • Such rapid development and launch of clinical trials is impressive but presents challenges, including the potential for duplication and competition.
  • There is currently no known effective treatment for COVID‐19.
  • In order to focus on those studies most likely to influence clinical practice, we summarise the 31 currently registered randomised trials with a target sample size of at least 1000 participants.
  • We have grouped these trials into four categories: prophylaxis; treatment of outpatients with mild COVID‐19; treatment of hospitalised patients with moderate COVID‐19; and treatment of hospitalised patients with moderate or severe disease.
  • The most common therapeutic agent being trialled currently is hydroxychloroquine (24 trials with potential sample size of over 25 000 participants), followed by lopinavir–ritonavir (seven trials) and remdesevir (five trials)
  • There are many candidate drugs in pre‐clinical and early phase development, and these form a pipeline for future large clinical trials if current candidate therapies prove ineffective or unsafe.

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  • 1 Menzies School of Health Research, Darwin, NT
  • 2 John Hunter Hospital, Newcastle, NSW
  • 3 Royal Melbourne Hospital, Melbourne, VIC
  • 4 University of Melbourne, Melbourne, VIC
  • 5 Peter Doherty Institute for Infection and Immunity, Melbourne, VIC


Correspondence: joshua.davis@menzies.edu.au

Competing interests:

No relevant disclosures.

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  • 13. Woodcock J, LaVange LM. Master protocols to study multiple therapies, multiple diseases, or both. N Engl J Med 2017; 377: 62–70.
  • 14. Angus DC, Berry S, Lewis RJ, et al. The Randomized Embedded Multifactorial Adaptive Platform for Community‐acquired Pneumonia (REMAP‐CAP) study: rationale and design. Ann Am Thorac Soc 2020; https://doi.org/10.1513/annalsats.202003-192sd [Epub ahead of print].
  • 15. Gordon CJ, Tchesnokov EP, Feng JY, et al. The antiviral compound remdesivir potently inhibits RNA‐dependent RNA polymerase from Middle East respiratory syndrome coronavirus. J Biol Chem 2020; 295: 4773–4779.
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  • 19. Gautret P, Lagier JC, Parola P, et al. Hydroxychloroquine and azithromycin as a treatment of COVID‐19: results of an open‐label non‐randomized clinical trial. Int J Antimicrob Agents 2020; https://doi.org/10.1016/j.ijantimicag.2020.105949 [Epub ahead of print].
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New Australian birthweight centiles

Farmey A Joseph, Jonathan A Hyett, Philip J Schluter, Andrew McLennan, Adrienne Gordon, Georgina M Chambers, Lisa Hilder, Stephanie KY Choi and Bradley Vries
Med J Aust 2020; 213 (2): . || doi: 10.5694/mja2.50676
Published online: 20 July 2020

Abstract

Objectives: To prepare more accurate population‐based Australian birthweight centile charts by using the most recent population data available and by excluding pre‐term deliveries by obstetric intervention of small for gestational age babies.

Design: Population‐based retrospective observational study.

Setting: Australian Institute of Health and Welfare National Perinatal Data Collection.

Participants: All singleton births in Australia of 23–42 completed weeks’ gestation and with spontaneous onset of labour, 2004–2013. Births initiated by obstetric intervention were excluded to minimise the influence of decisions to deliver small for gestational age babies before term.

Main outcome measures: Birthweight centile curves, by gestational age and sex.

Results: Gestational age, birthweight, sex, and labour onset data were available for 2 807 051 singleton live births; onset of labour was spontaneous for 1 582 137 births (56.4%). At pre‐term gestational ages, the 10th centile was higher than the corresponding centile in previous Australian birthweight charts based upon all births.

Conclusion: Current birthweight centile charts probably underestimate the incidence of intra‐uterine growth restriction because obstetric interventions for delivering pre‐term small for gestational age babies depress the curves at earlier gestational ages. Our curves circumvent this problem by excluding intervention‐initiated births; they also incorporate more recent population data. These updated centile curves could facilitate more accurate diagnosis of small for gestational age babies in Australia.

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  • 1 Royal Prince Alfred Hospital, Sydney, NSW
  • 2 Sydney Institute for Women, Children and their Families, Sydney, NSW
  • 3 Sydney Medical School, University of Sydney, Sydney, NSW
  • 4 University of Canterbury, Christchurch, New Zealand
  • 5 University of Queensland, Brisbane, QLD
  • 6 Charles Perkins Centre, University of Sydney, Sydney, NSW
  • 7 National Perinatal Epidemiology and Statistics Unit, University of New South Wales, Sydney, NSW
  • 8 Centre for Big Data Research in Health, University of New South Wales, Sydney, NSW


Correspondence: farmey@alum.mit.edu

Acknowledgements: 

We acknowledge the Ministries of Health of all Australian states and territories for providing data to the National Perinatal Data Collection. We also acknowledge the Australian Institute of Health and Welfare (AIHW) for preparing and providing the National Perinatal Data Collection data for this study. We are grateful to the Victorian Consultative Council on Obstetric and Paediatric Mortality and Morbidity (CCOPMM) for providing access to the de‐identified data from the Victorian Perinatal Data Collection that contributes to the AIHW National Perinatal Data Collection and for the assistance of the staff at the Consultative Councils Unit, Safer Care Victoria, for facilitating the Victorian approval process for this project. The views expressed in this article do not necessarily reflect those of CCOPMM. Finally, we thank Kevin McGeechan for his advice on statistical analysis.

Competing interests:

No relevant disclosures.

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