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Medical assistance in dying: a disruption of therapeutic relationships

Leeroy William
Med J Aust 2018; 209 (7): . || doi: 10.5694/mja17.01217
Published online: 1 October 2018

Medical assistance in dying may disrupt therapeutic relationships and will challenge beliefs

Medical assistance in dying, whether voluntary euthanasia or physician-assisted suicide, has been a recurring topic for societal debate. Voluntary euthanasia is the deliberate and intentional act to end a competent person’s life, at their request, to relieve their suffering.1 Physician-assisted suicide relates to the medical provision of the means or knowledge for someone to commit suicide via the self-administration of a prescribed medication.1 Amid growing societal support2 and stability of worldwide medical opinion, there has been a 66% increase in the legalisation of physician-assisted suicide since 2015,3 which indirectly legitimises such practices through the broad influence it has on societal support. Canada and the American states of California and Colorado legalised physician-assisted suicide in 2016.3 In Australia, the Victorian Parliament passed a Bill in 2017 to legalise physician-assisted suicide, while the debate currently continues in other Australian states and New Zealand. By contrast, in May 2018 Guernsey failed to become the first place in Britain to permit physician-assisted suicide.4


  • 1 Eastern Health, Melbourne, VIC
  • 2 Monash University, Melbourne, VIC


Correspondence: leeroy.william@monash.edu

Competing interests:

No relevant disclosures.

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Surveillance improves survival of patients with hepatocellular carcinoma: a prospective population-based study

Thai P Hong, Paul J Gow, Michael Fink, Anouk Dev, Stuart K Roberts, Amanda Nicoll, John S Lubel, Ian Kronborg, Niranjan Arachchi, Marno Ryan, William W Kemp, Virginia Knight, Vijaya Sundararajan, Paul Desmond, Alexander JV Thompson and Sally J Bell
Med J Aust 2018; 209 (8): . || doi: 10.5694/mja18.00373
Published online: 24 September 2018

Abstract

Objectives: To determine the factors associated with survival of patients with hepatocellular carcinoma (HCC) and the effect of HCC surveillance on survival.

Design, setting and participants: Prospective population-based cohort study of patients newly diagnosed with HCC in seven tertiary hospitals in Melbourne, 1 July 2012 – 30 June 2013.

Main outcome measures: Overall survival (maximum follow-up, 24 months); factors associated with HCC surveillance participation and survival.

Results: 272 people were diagnosed with incident HCC during the study period; the most common risk factors were hepatitis C virus infection (41%), alcohol-related liver disease (39%), and hepatitis B virus infection (22%). Only 40% of patients participated in HCC surveillance at the time of diagnosis; participation was significantly higher among patients with smaller median tumour size (participants, 2.8 cm; non-participants, 6.0 cm; P < 0.001) and earlier Barcelona Clinic Liver Cancer (BCLC) stage disease (A/B, 59%; C/D, 25%; P < 0.001). Participation was higher among patients with compensated cirrhosis or hepatitis C infections; it was lower among those with alcohol-related liver disease or decompensated liver disease. Median overall survival time was 20.8 months; mean survival time was 18.1 months (95% CI, 16.6–19.6 months). Participation in HCC surveillance was associated with significantly lower mortality (adjusted hazard ratio [aHR], 0.60; 95% CI, 0.38–0.93; P = 0.021), as were curative therapies (aHR, 0.33; 95% CI, 0.19–0.58). Conversely, higher Child–Pugh class, alpha-fetoprotein levels over 400 kU/L, and later BCLC disease stages were each associated with higher mortality.

Conclusions: Survival for patients with HCC is poor, but may be improved by surveillance, associated with the identification of earlier stage tumours, enabling curative therapies to be initiated.

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  • 1 St Vincent's Hospital Melbourne, Melbourne, VIC
  • 2 Austin Hospital, Melbourne, VIC
  • 3 University of Melbourne, Melbourne, VIC
  • 4 Austin Health, Melbourne, VIC
  • 5 Monash Health, Melbourne, VIC
  • 6 Eastern Health, Melbourne, VIC
  • 7 Western Health, Melbourne, VIC
  • 8 Alfred Hospital, Melbourne, VIC


Correspondence: thai.hong@svha.org.au

Competing interests:

No relevant disclosures.

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Helicobacter pylori infection and the risk of upper gastrointestinal bleeding in low dose aspirin users: systematic review and meta-analysis

Justin CH Ng and Neville David Yeomans
Med J Aust 2018; 209 (7): . || doi: 10.5694/mja17.01274
Published online: 24 September 2018

Abstract

Objective: To determine whether the risk of upper gastrointestinal bleeding in patients taking low dose aspirin (≤ 325 mg/day) is increased in people with Helicobacter pylori infections.

Study design: A systematic search for all publications since 1989 (when H. pylori was named) using search term equivalents for “upper gastrointestinal haemorrhage” and “aspirin”. Articles were assessed individually for inclusion of data on H. pylori infection, as not all relevant papers were indexed with this term. Data that could be pooled were then subjected to meta-analysis, using a random effects model.

Data sources: MEDLINE, Embase, Scopus, the Cochrane Library.

Data synthesis: Of 7599 retrieved publications, reports for seven case–control studies contained data suitable for meta-analysis; four were deemed high quality on the Newcastle–Ottawa scale. Upper gastrointestinal haemorrhage was more frequent in aspirin users infected with H. pylori than in those who were not (odds ratio [OR], 2.32; 95% CI, 1.25–4.33; P = 0.008). The heterogeneity of the studies was significant (Q = 19.3, P = 0.004; I2 = 68.9%, 95% CI, 31.5–85.9%), but the pooled odds ratio was similar after removing the two studies that contributed most to heterogeneity (OR, 2.34; 95% CI, 1.56–3.53; P < 0.001). The number needed to treat to prevent one bleeding event annually was estimated to be between 100 and more than 1000.

Conclusions: The odds of upper gastrointestinal bleeding in patients taking low dose aspirin is about twice as great in those infected with H. pylori. Testing for and treating the infection should be considered in such patients, especially if their underlying risk of peptic ulcer bleeding is already high.


  • 1 University of Melbourne, Melbourne, VIC
  • 2 Peninsula Health, Melbourne, VIC
  • 3 Austin Health, Melbourne, VIC


Correspondence: JNg@phcn.vic.gov.au

Acknowledgements: 

We thank Helen Baxter and Shanti Nadaraja (Austin Health Sciences Library, Austin Health) for expert assistance with the structured literature searches.

Competing interests:

No relevant disclosures.

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When to initiate dialysis for end-stage kidney disease: evidence and challenges

Titi Chen, Vincent WS Lee and David C Harris
Med J Aust 2018; 209 (6): . || doi: 10.5694/mja18.00297
Published online: 17 September 2018

Summary

 

  • The decision about when to start dialysis for end-stage kidney disease (ESKD) is complex and is influenced by many factors. ESKD-related symptoms and signs are the most common indications for dialysis initiation. Creatinine-based formulae to estimate glomerular filtration rate (GFR) are inaccurate in patients with ESKD and, thus, the decision to start dialysis should not be based solely on estimated GFR (eGFR).
  • Early dialysis initiation (ie, at an eGFR > 10 mL/min/1.73 m2) is not associated with a morbidity and mortality benefit, as shown in the Initiating Dialysis Early and Late (IDEAL) study. This observation has been incorporated into the latest guidelines, which place greater emphasis on the assessment of patients’ symptoms and signs rather than eGFR. It is suggested that in asymptomatic patients with stage 5 chronic kidney disease, dialysis may be safely delayed until the eGFR is at least as low as 5–7 mL/min/1.73 m2 if there is careful clinical follow-up and adequate patient education.
  • The decision on when to start dialysis is even more challenging in older patients. Due to their comorbidities and frailty, dialysis initiation may be associated with worse outcomes and quality of life. Therefore, the decision to start dialysis in these patients should be carefully weighed against its risks, and conservative care should be considered in appropriate cases.
  • To optimise the decision-making process for dialysis initiation, patients need to be referred to a nephrologist in a timely fashion to allow adequate pre-dialysis care and planning. Dialysis initiation and its timing should be a shared decision between physician, patients and family members, and should be tailored to the individual patient’s needs.

 


  • University of Sydney, Sydney, NSW


Correspondence: titi.chen@sydney.edu.au

Competing interests:

No relevant disclosures.

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Contemporary approaches to the prevention and management of paediatric obesity: an Australian focus

Seema Mihrshahi, Megan L Gow and Louise A Baur
Med J Aust 2018; 209 (6): . || doi: 10.5694/mja18.00140
Published online: 17 September 2018

Summary

 

  • Of the 34 member countries of the Organisation for Economic Co-operation and Development, obesity prevalence is highest in the United States, with Australia ranking fifth for girls and eighth for boys. Curbing the problem is achievable and can be realised through a combination of smart governance across many sectors, community initiatives, the support of individual efforts, and clinical leadership.
  • At 5 years of age, one in five Australian children are already affected by overweight or obesity; obesity prevention strategies must therefore start before this age. There is strong evidence that reducing screen time and promoting breastfeeding in 0–2-year-olds are effective interventions in the early years.
  • The main behavioural risk factors for obesity are overconsumption of energy-dense, nutrient-poor foods and a lack of physical activity. Emerging evidence suggests poor sleep quality and duration and high amounts of sedentary time also play a role.
  • Systems-based policy actions may change long term obesity prevalence in children by targeting the food environment through nutrition labelling, healthy foods in schools, restricted unhealthy food marketing to children, and fiscal policies to reduce consumption of harmful foods and sugar-sweetened beverages.
  • Macro-environmental factors influence obesity risk. Public transport policy and the built environment (proximity to parks, bike paths, green space, schools and shops) influence play time spent outdoors, walking and cycling. Greater access to parks and playgrounds and active commuting are associated with lower body mass index.
  • Australian interventions have largely employed individual level approaches. These are important, but of limited effectiveness unless priority is also given to policies that reduce obesity-conducive environments.
  • Clinicians can provide anticipatory guidance to support healthy weight and weight-related behaviours, including weight monitoring, early feeding and children’s diets, physical activity opportunities, and limited sedentary and screen time.
  • Investigations in children with obesity usually include liver function tests and measuring fasting glucose, lipid and possibly insulin levels. As obesity can be associated with micronutrient deficiencies, it may be prudent to check full blood count and iron, vitamin B12 and vitamin D levels. Endocrinological assessment is usually not needed. Second line investigations may include liver ultrasound, oral glucose tolerance testing and sleep study.
  • Traditional treatment of child and adolescent obesity has focused on family-based, multicomponent (diet, physical activity and behaviour change) interventions, although these lead to small and often short term weight reductions (mean, − 1.45 kg; 95% CI, 1.88 to − 1.02). Nevertheless, these principles remain core interventions in children and adolescents with obesity.
  • A very low energy diet should be considered in adolescents with severe obesity or obesity-related comorbidities, and for adolescents who have not achieved weight loss following a more conventional dietary approach.
  • Pharmacotherapy confers only small reductions in weight; for example, effect size for metformin is − 3.90 kg (95% CI, − 5.86 to − 1.94).
  • Bariatric surgery should be considered in adolescents over 15 years of age with severe obesity (body mass index > 40 kg/m2, or > 35 kg/m2 in the presence of severe complications).

 


  • 1 University of Sydney, Sydney, NSW
  • 2 NHMRC Centre of Research Excellence in the Early Prevention of Obesity in Childhood, Sydney, NSW
  • 3 The Children's Hospital at Westmead, Sydney, NSW



Competing interests:

No relevant disclosures.

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Disparity of access to kidney transplantation by Indigenous and non-Indigenous Australians

Namrata Khanal, Paul D Lawton, Alan Cass and Stephen P McDonald
Med J Aust 2018; 209 (6): . || doi: 10.5694/mja18.00304
Published online: 17 September 2018

Abstract

Objective: To compare the likelihood of Indigenous and non-Indigenous Australians being placed on the waiting list for transplantation of a kidney from a deceased donor; to compare the subsequent likelihood of transplantation.

Design, setting and participants: Observational cohort study; analysis of data from the Australia and New Zealand Dialysis and Transplant (ANZDATA) Registry for patients aged 18–60 years at the start of renal replacement therapy, who commenced renal replacement therapy in Australia between 28 June 2006 and 31 December 2016.

Main outcome measures: Time to wait-listing; time to kidney transplantation after wait-listing.

Results: 10 839 patients met the inclusion criteria, of whom 2039 (19%) were Indigenous Australians; 217 Indigenous and 3829 non-Indigenous patients were active on the waiting list at least once during the study period. The hazard ratio (HR) for wait-listing (Indigenous v non-Indigenous patients, adjusted for patient- and disease-related factors) in the first year of renal replacement therapy varied with age and remoteness (range, 0.11 [95% CI, 0.07–0.15] to 0.36 [95% CI, 0.16–0.56]); in subsequent years the adjusted HR was 0.90 (95% CI, 0.50–1.6). The adjusted HR for transplantation during the first year of wait-listing did not differ significantly from 1.0; for subsequent years of wait-listing, however, the adjusted HR was 0.40 (95% CI, 0.29–0.55).

Conclusion: Disparities between Indigenous and non-Indigenous patients with end-stage kidney disease in access to kidney transplantation are not explained by patient- or disease-related factors. Changes in policy and practice are needed to reduce these differences.

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  • 1 University of Adelaide, Adelaide, SA
  • 2 Central and Northern Adelaide Renal and Transplantation Services, Royal Adelaide Hospital, Adelaide, SA
  • 3 Menzies School of Health Research, Charles Darwin University, Darwin, NT
  • 4 Australia and New Zealand Dialysis and Transplant Registry (ANZDATA), Adelaide, SA


Correspondence: namrata@anzdata.org.au

Competing interests:

No relevant disclosures.

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  • 19. Kotwal S, Webster AC, Cass A, Gallagher M. Comorbidity recording and predictive power of comorbidities in the Australia and New Zealand dialysis and transplant registry compared with administrative data: 2000-2010. Nephrology (Carlton) 2016; 21: 930-937.

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Kidney donation and transplantation in Australia: more than a supply and demand equation

Jeremy R Chapman and John Kanellis
Med J Aust 2018; 209 (6): . || doi: 10.5694/mja18.00617
Published online: 17 September 2018

The Australian organ allocation system relies on equity and maximising effectiveness, but these are sometimes difficult to reconcile

Donated kidneys are scarce and valuable, generously supplied by living donors or altruistically after death. Access to the Australian kidney transplant waiting list requires individuals with end-stage kidney disease to be eligible for Medicare and accepted by a transplant program through meeting the medium to long term life expectancy eligibility criteria from the Transplantation Society of Australia and New Zealand (TSANZ).1 There are state by state and transplant unit specific approaches to listing based on geography and population variability.2 The current overall Australian 5-year kidney transplant recipient survival rate is about 90%, with 5-year kidney survival at about 80%,3 as reported through the Australia and New Zealand Dialysis and Transplant Registry.4 There is, on average, a five- to ten-fold reduction in mortality for patients who have received a kidney transplant compared with those who remain on dialysis, explaining the continued demand for kidneys for transplantation.5


  • 1 Westmead Hospital, Sydney, NSW
  • 2 Monash Medical Centre, Melbourne, VIC



Competing interests:

No relevant disclosures.

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Sepsis incidence and mortality are underestimated in Australian intensive care unit administrative data

Manon Heldens, Marinelle Schout, Naomi E Hammond, Frances Bass, Anthony Delaney and Simon R Finfer
Med J Aust 2018; 209 (6): . || doi: 10.5694/mja18.00168
Published online: 10 September 2018

Abstract

Objectives: To compare estimates of the incidence and mortality of sepsis and septic shock among patients in Australian intensive care units (ICUs) according to clinical diagnoses or binational intensive care database (ANZICS CORE) methodology.

Design, setting, participants: Prospective inception cohort study (3-month inception period, 1 October – 31 December 2016, with 60-day follow-up); daily screening of all patients in a tertiary hospital 60-bed multidisciplinary ICU.

Main outcomes: Diagnoses of sepsis and septic shock according to clinical criteria and database criteria; in-hospital mortality (censored at 60 days).

Results: Of 864 patients admitted to the ICU, 146 (16.9%) were diagnosed with sepsis by clinical criteria and 98 (11%) according to the database definition (P < 0.001); the sensitivity of the database criteria for sepsis was 52%, the specificity 97%. Forty-nine patients (5.7%) were diagnosed with septic shock by clinical criteria and 83 patients (9.6%) with the database definition (P < 0.001); the sensitivity of the database criteria for septic shock was 65%, the specificity 94%. In-hospital mortality of patients diagnosed with sepsis was greater in the clinical diagnosis group (39/146, 27%) than in the database group (17/98, 17%; P = 0.12); for septic shock, mortality was significantly higher in the database group (18/49, 37%) than in the clinical diagnosis group (13/83, 16%; P = 0.006).

Conclusions: When compared with the reference standard — prospective clinical diagnosis — ANZICS CORE database criteria significantly underestimate the incidence of sepsis and overestimate the incidence of septic shock, and also result in lower estimated hospital mortality rates for each condition.

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  • 1 Elisabeth-TweeSteden Ziekenhuis, Tilburg, The Netherlands
  • 2 Royal North Shore Hospital, Sydney, NSW
  • 3 Maasziekenhuis Pantein, Beugen, The Netherlands
  • 4 The George Institute for Global Health, Sydney, NSW
  • 5 Northern Clinical School, University of Sydney, Sydney, NSW


Correspondence: heldensmanon@gmail.com

Acknowledgements: 

We acknowledge the support of the Royal North Shore Hospital intensive care unit staff. Manon Heldens received funding from the Radboud Honours program “Beyond the Frontiers”, Radboud University, Nijmegen, The Netherlands. Simon Finfer is supported by a National Health and Medical Research Committee Practitioner Fellowship.

Competing interests:

No relevant disclosures.

  • 1. Reinhart K, Daniels R, Kissoon N, et al. Recognizing sepsis as a global health priority — a WHO resolution. N Engl J Med 2017; 377: 414-417.
  • 2. World Health Organization. Service delivery and safety: improving the prevention, diagnosis and clinical management of sepsis. http://www.who.int/servicedeliverysafety/areas/sepsis/en/ (viewed June 2018).
  • 3. Fleischmann C, Scherag A, Adhikari NK, et al. Assessment of global incidence and mortality of hospital-treated sepsis: current estimates and limitations. Am J Respir Crit Care Med 2016; 193: 259-272.
  • 4. Finfer S, Machado FR. The global epidemiology of sepsis. Does it matter that we know so little? Am J Respir Crit Care Med 2016; 193: 228-230.
  • 5. Rudd KE, Delaney A, Finfer S. Counting sepsis, an imprecise but improving science. JAMA 2017; 318: 1228-1229.
  • 6. Singer M, Deutschman CS, Seymour C. The third international consensus definitions for sepsis and septic shock (Sepsis-3). JAMA 2016; 315: 801-810.
  • 7. Angus DC, Linde-Zwirble WT, Lidicker J, et al. Epidemiology of severe sepsis in the United States: analysis of incidence, outcome, and associated costs of care. Crit Care Med 2001; 29: 1303-1310.
  • 8. Martin GS, Mannino DM, Eaton S, Moss M. The epidemiology of sepsis in the United States from 1979 through 2000. N Engl J Med 2003; 348: 1546-1554.
  • 9. Rhee C, Dantes R, Epstein L, et al. Incidence and trends of sepsis in US hospitals using clinical vs claims data, 2009-2014. JAMA 2017; 318: 1241-1249.
  • 10. Finfer S, Bellomo R, Lipman J, et al. Adult-population incidence of severe sepsis in Australian and New Zealand intensive care units. Intensive Care Med 2004; 30: 589-596.
  • 11. Kaukonen KM, Bailey M, Suzuki S, et al. Mortality related to severe sepsis and septic shock among critically ill patients in Australia and New Zealand, 2000–2012. JAMA 2014; 311: 1308-1316.
  • 12. Bone RC, Balk RA, Cerra FB, et al. Definitions for sepsis and organ failure and guidelines for the use of innovative therapies in sepsis. Chest 1992; 101: 1644-1655.
  • 13. Bernard GR, Vincent J-L, Laterre P-F, et al. Efficacy and safety of recombinant human activated protein C for severe sepsis. N Engl J Med 2001; 344: 699-709.
  • 14. Knaus WA, Wagner DP, Draper EA, et al. The APACHE III prognostic system: risk prediction of hospital mortality for critically III hospitalized adults. Chest 1991; 100: 1619-1636.
  • 15. Vincent JL, Moreno R, Takala J, et al. The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failure. Intensive Care Med 1996; 22: 707-710.
  • 16. Kadri SS, Rhee C, Strich JR, et al. Estimating ten-year trends in septic shock incidence and mortality in United States academic medical centers using clinical data. Chest 2017; 151: 278-285.
  • 17. Cohen J, Vincent JL, Adhikari NK, et al. Sepsis: a roadmap for future research. Lancet Infect Dis 2015; 15: 581-614.
  • 18. Epstein L, Dantes R, Magill S, Fiore A. Varying estimates of sepsis mortality using death certificates and administrative codes — United States, 1999–2014. MMWR Morb Mortal Wkly Rep 2016; 65: 342-345.
  • 19. Danai PA, Sinha S, Moss M, et al. Seasonal variation in the epidemiology of sepsis. Crit Care Med 2007; 35: 410-415.

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All colonoscopies are not created equal: why Australia now has a clinical care standard for colonoscopy

Anne Duggan, Iain J Skinner and Alice L Bhasale
Med J Aust 2018; 209 (10): . || doi: 10.5694/mja18.00556
Published online: 10 September 2018

Maintaining the quality of colonoscopies is vital if promised reductions in colorectal cancer are to be achieved

In many ways, colonoscopy has been a transformative health technology. By allowing the early identification and removal of polyps, it reduces colorectal cancer incidence and mortality. Evidence for population screening using a faecal occult blood test and follow-up colonoscopy was based on randomised controlled studies that found a reduction in colorectal cancer mortality of 28–32% with flexible sigmoidoscopy.1 It is estimated that by 2040, the National Bowel Cancer Screening Program will prevent 92 200 cases of colorectal cancer and 59 000 deaths, using conservative modelling based on current participation of just 40%.2 These benefits are substantial, given that bowel cancer is the second highest cause of cancer death in Australia and participation in the National Bowel Cancer Screening Program is increasing.3 However, without high quality and appropriate use of colonoscopy, patients may be exposed to avoidable adverse outcomes without significant benefit. These include procedural and sedation-related complications, missed cancers, missed adenomas (hence increased risk of bowel cancer), and adverse patient experience. Further, overuse of the procedure in patients who are unlikely to benefit from it results in low value care and reduces access for patients in greater need. In order to ensure the maximum benefit to the Australian population, the Australian Commission on Safety and Quality in Health Care has developed a Colonoscopy Clinical Care Standard (www.safetyandquality.gov.au/our-work/clinical-care-standards/colonoscopy-clinical-care-standard).


  • 1 Australian Commission on Safety and Quality in Health Care, Sydney, NSW
  • 2 St Vincent's Private Hospital, Melbourne, VIC



Acknowledgements: 

We thank Brett Abbenbroek for his contribution to the development of the Clinical Care Standard, and the Colonoscopy Clinical Care Standard Topic Working Group for their expert advice. Funding for the development of the Colonoscopy Clinical Care Standard was provided by the Australian Government Department of Health.

Competing interests:

No relevant disclosures.

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Improving drug allergy management in Australia: education, communication and accurate information

Michaela Lucas, Richard KS Loh and William B Smith
Med J Aust 2019; 210 (2): . || doi: 10.5694/mja18.00467
Published online: 3 September 2018

Drug allergy education and effective communication of accurate information can optimise drug allergy management and patient safety

A drug allergy label is often applied to a patient after an adverse drug reaction (ADR), usually resulting in subsequent avoidance of the drug and related drugs. Recent attention has focused on antibiotic allergy labels and the benefits of delabelling.1 But drug allergy labels, which occur in up to 35% of patient electronic health records (EHRs), encompass all types of medications, with antibiotics, opiates and non-steroidal anti-inflammatory drugs being among the most common (Box 1).2 Accurate and effective communication of drug allergy is crucial for safe prescribing, including sufficient information to enable assessment of the risk of re-exposure compared with the risk of withholding the index drug and related drugs.


  • 1 Sir Charles Gairdner Hospital, Perth, WA
  • 2 Princess Margaret Hospital for Children, Perth, WA
  • 3 Royal Adelaide Hospital, Adelaide, SA
  • 4 AllergySA, Adelaide, SA


Correspondence: William.Smith@sa.gov.au

Acknowledgements: 

We thank Sandra Vale, National Allergy Strategy coordinator, for her contribution to the drafting of this article. We also thank Connie Katelaris, James Yun, Maria Said, Andrew Lucas, Syed Ali and the members of the Australasian Society of Clinical Immunology and Allergy Drug Allergy Working Party for their contribution to this manuscript.

Competing interests:

No relevant disclosures.

  • 1. Trubiano JA, Grayson ML, Thursky KA, et al. How antibiotic allergy labels may be harming our most vulnerable patients. Med J Aust 2018; 208: 469–470. https://www.mja.com.au/journal/2018/208/11/how-antibiotic-allergy-labels-may-be-harming-our-most-vulnerable-patients
  • 2. Zhou L, Dhopeshwarkar N, Blumenthal KG, et al. Drug allergies documented in electronic health records of a large healthcare system. Allergy 2016; 71: 1305–1313.
  • 3. Chaudhry T, Hissaria P, Wiese M, et al. Oral drug challenges in non‐steroidal anti‐inflammatory drug‐induced urticaria, angioedema and anaphylaxis. Intern Med J 2012; 42: 665–667.
  • 4. Petitpain N, Argoullon L, Masmoudi K, et al. Neuromuscular blocking agents induced anaphylaxis: results and trends of a French pharmacovigilance survey from 2000 to 2012. Allergy 2018. https://doi.org/10.1111/all.13456. [Epub ahead of print]
  • 5. Kemp HI, Cook TM, Thomas M, Harper NJN. UK anaesthetists’ perspectives and experiences of severe perioperative anaphylaxis: NAP6 baseline survey. Br J Anaesth 2017; 119: 132–139.
  • 6. Florvaag E, Johansson SGO. The pholcodine case. Cough medicines, IgE‐sensitization, and anaphylaxis: a devious connection. World Allergy Organ J 2012; 5: 73–78.
  • 7. Katelaris CH, Smith WB. “Iodine allergy” label is misleading. Aust Prescr 2009; 32: 125–128.
  • 8. Mullins RJ, Wainstein BK, Barnes EH, et al. Increases in anaphylaxis fatalities in Australia from 1997 to 2013. Clin Exp Allergy 2016; 46: 1099–1110.
  • 9. Peter JG, Lehloenya R, Dlamini S, et al. Severe delayed cutaneous and systemic reactions to drugs: a global perspective on the science and art of current practice. J Allergy Clin Immunol Pract 2017; 5: 547–563.
  • 10. Shah NS, Ridgway JP, Pettit N, et al. Documenting penicillin allergy: the impact of inconsistency. PLoS One 2016; 11: e0150514.
  • 11. Morritt AN, Alexander DJ. Impact of junior doctor education on drug allergy documentation. Ann R Coll Surg Engl 2005; 87: 311–312.
  • 12. Trubiano JA, Worth LJ, Urbancic K, et al. Return to sender: the need to re‐address patient antibiotic allergy labels in Australia and New Zealand. Intern Med J 2016; 46: 1311–1317.
  • 13. Inglis JM, Caughey GE, Smith W, Shakib S. Documentation of penicillin adverse drug reactions in electronic health records: inconsistent use of allergy and intolerance labels. Intern Med J 2017; 47: 1292–1297.
  • 14. Blumenthal KG, Shenoy ES, Hurwitz S, et al. Effect of a drug allergy educational program and antibiotic prescribing guideline on inpatient clinical providers’ antibiotic prescribing knowledge. J Allergy Clin Immunol Pract 2014; 2: 407–413.
  • 15. Blumenthal KG, Shenoy ES, Varughese C, et al. Impact of a clinical guideline for prescribing antibiotics to inpatients with reported penicillin or cephalosporin allergies. Ann Allergy Asthma Immunol 2015; 115: 294–300.
  • 16. Trubiano JA, Pai Mangalore RP, Baey YW, et al. Old but not forgotten: Antibiotic allergies in General Medicine (the AGM Study). Med J Aust 2016; 204: 273. https://www.mja.com.au/journal/2016/204/7/old-not-forgotten-antibiotic-allergies-general-medicine-agm-study

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