In 2017, the World Health Organization (WHO) recognised sepsis, the life-threatening organ dysfunction that occurs in response to infection,
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as a global health priority. One in five deaths worldwide are caused by sepsis, with the highest incidence of sepsis and sepsis-related mortality occurring in low and middle Socio-Demographic Index regions.
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Country-level data describing the distribution of sepsis across Socio-Demographic Index regions are lacking. There is limited understanding of socioeconomic disparity in the risk of developing sepsis, its incidence and sepsis-related mortality in under-served populations worldwide.
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Singer M, Deutschman CS, Seymour CW, et al. The third international consensus definitions for sepsis and septic shock (Sepsis-3). JAMA 2016; 315: 801-10
Rudd KE, Johnson SC, Agesa KM, et al. Global, regional, and national sepsis incidence and mortality, 1990–2017: analysis for the Global Burden of Disease Study. Lancet 2020; 395: 200-11
Reinhart K, Daniels R, Kissoon N, et al. Recognizing sepsis as a global health priority — a WHO resolution. N Engl J Med 2017; 377: 414-7
For more than two centuries, Australia’s first peoples have suffered ongoing health inequalities as a result of systemic racism, intergenerational trauma, lack of cultural safety and distrust of the health system. 4
Shaw C, Scholar D. An evidence-based approach to reducing discharge against medical advice. J Rural Health 2015; 7: 53-9
Randall DA, Lujic S, Havard A, et al. Multimorbidity among Aboriginal people in New South Wales contributes significantly to their higher mortality. Med J Aust 2018; 209: 19-23
Gubhaju L, McNamara BJ, Banks E, et al. The overall health and risk factor profile of Australian Aboriginal and Torres Strait Islander participants from the 45 and Up Study. BMC Public Health 2013; 13: 661
Davis JS, Cheng AC, McMillan M, et al. Sepsis in the tropical Top End of Australia’s Northern Territory: disease burden and impact on Indigenous Australians. Med J Aust 2011; 194: 519-24
Einsiedel LJ, Fernandes LA, Woodman RJ. Racial disparities in infection-related mortality at Alice Springs Hospital, Central Australia, 2000–2005. Med J Aust 2008; 188: 568-71
Australian Bureau of Statistics. Estimates of Aboriginal and Torres Strait Islander Australians. Canberra: ABS, 2016. https://www.abs.gov.au/statistics/people/aboriginal-and-torres-strait-islander-peoples/estimates-aboriginal-and-torres-strait-islander-australians/latest-release (viewed July 2021)
Davis JS, Cheng AC, McMillan M, et al. Sepsis in the tropical Top End of Australia’s Northern Territory: disease burden and impact on Indigenous Australians. Med J Aust 2011; 194: 519-24
Einsiedel LJ, Fernandes LA, Woodman RJ. Racial disparities in infection-related mortality at Alice Springs Hospital, Central Australia, 2000–2005. Med J Aust 2008; 188: 568-71
To add to the limited data and inform a national strategy to prevent sepsis in this priority population, we aimed to estimate the incidence of sepsis hospitalisations, and hospital-associated resource use and mortality, in Aboriginal and Torres Strait Islander and non-Indigenous adults in Australia’s most populous state, New South Wales.
Methods
Population and data sources
We used data from the Sax Institute’s 45 and Up Study, a large prospective cohort study of adults aged 45 years or older recruited between 2006 and 2009 in NSW, Australia. The cohort has been described previously.
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Briefly, potential participants were invited from the Department of Human Services database (formerly Medicare Australia) to participate in the study using a postal questionnaire. The questionnaire included questions on Aboriginal and Torres Strait Islander identification as well as questions on other sociodemographic details, health and behaviour. Participants consented to be included and followed up over time through linkage of their questionnaire data to health records. The cohort represented about 10% of people in the study age range who were living in NSW at the time of recruitment.
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45 and Up Study Collaborators; Banks E, Redman S, Jorm L, et al. Cohort profile: the 45 and up study. Int J Epidemiol 2008; 37: 941-7
45 and Up Study Collaborators; Banks E, Redman S, Jorm L, et al. Cohort profile: the 45 and up study. Int J Epidemiol 2008; 37: 941-7
For this study, the cohort questionnaire data were linked to the NSW Admitted Patient Data Collection and the NSW Registry of Births Deaths and Marriages. The Centre for Health Record Linkage independently performed the linkage using probabilistic matching. The NSW Admitted Patient Data Collection includes information about all hospital admissions in NSW, including admission and discharge dates, principal diagnosis, and up to 49 secondary diagnoses affecting hospitalisation and length of stay; diagnoses are coded using the International Classification of Diseases (10th revision), Australian modification (ICD-10-AM). The NSW Registry of Births Deaths and Marriages records the date and details of death for all residents of NSW. 10
45 and Up Study Collaborators; Banks E, Redman S, Jorm L, et al. Cohort profile: the 45 and up study. Int J Epidemiol 2008; 37: 941-7
The study was approved by the NSW Population Health Research Ethics Committee (reference number 2010/12/292) and the Aboriginal Health and Medical Research Council Human Research Ethics Committee (reference number 1169/16). In accordance with the National Health and Medical Research Council’s guidelines on ethical conduct in research with Aboriginal and Torres Strait Islander peoples and communities, 11
National Health and Medical Research Council. Ethical conduct in research with Aboriginal and Torres Strait Islander peoples and communities: guidelines for researchers and stakeholders. Canberra: NHMRC, 2018. https://www.nhmrc.gov.au/about-us/resources/ethical-conduct-research-aboriginal-and-torres-strait-islander-peoples-and-communities (viewed July 2021)
Identification of sepsis
Sepsis cases were identified from hospitalisation records using principal and secondary ICD-10-AM diagnosis codes. We adapted codes used in the Global Burden of Disease Study.
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Sepsis diagnoses were ascertained in two ways: through the presence of an explicit ICD-10-AM diagnosis code for sepsis in principal or secondary fields (eg, A40.0, Sepsis due to Streptococcus, group A), or through a combination of an infection code listed in the principal diagnosis field (eg, J12, Viral pneumonia) and a code in a secondary diagnosis field for organ dysfunction (eg, J80, Acute respiratory distress syndrome).
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The codes and detailed methods of our process are provided in the Online Appendix.
Rudd KE, Johnson SC, Agesa KM, et al. Global, regional, and national sepsis incidence and mortality, 1990–2017: analysis for the Global Burden of Disease Study. Lancet 2020; 395: 200-11
Rudd KE, Johnson SC, Agesa KM, et al. Global, regional, and national sepsis incidence and mortality, 1990–2017: analysis for the Global Burden of Disease Study. Lancet 2020; 395: 200-11
Analysis
As we aimed to measure the incidence of sepsis hospitalisations, we excluded participants with a record of a sepsis hospitalisation that met our study criteria in the 5 years before recruitment. Included participants were followed from the date of recruitment until 30 June 2016 or death, whichever came first. Cox regression models were used to estimate the hazard ratios (HRs) for first sepsis hospitalisation in the overall population, in Aboriginal and Torres Strait Islander participants and in non-Indigenous participants, adjusting for time-updated age (in single years), sex, household income (< $20 000, $20 000 to < $40 000, $40 000 to < $70 000, $70 000 +), education (no degree or diploma, diploma, university degree), region of residence (major city, inner regional, outer regional or remote), having private health insurance (yes, no), body mass index (BMI) in kg/m2 (< 18.5, 18.5 to < 25, 25 to < 30, 30 +), smoking (never, past, current), alcohol consumption (none, 1–7 units/week, 7 + units/week), and various comorbidities (heart disease, stroke, diabetes, asthma, Charlson Comorbidity Index).
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Adjustments for measures of depression, anxiety and psychological stress (ever treated for depression or anxiety, and Kessler 10 Psychological Distress Scale score) were also made.13 Adjustment factors were based on data collected from the recruitment questionnaire, except for Charlson Comorbidity Index data (which were based on linked hospitalisation data in the year before recruitment).
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Deyo RA, Cherkin DC, Ciol MA. Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol 1992; 45: 613-9
Quan H, Li B, Couris CM, et al. Updating and validating the Charlson comorbidity index and score for risk adjustment in hospital discharge abstracts using data from 6 countries. Am J Epidemiol 2011; 173: 676-82
We described and compared hospitalisation for sepsis in Aboriginal and Torres Strait Islander and non-Indigenous participants. We compared the ICD-10-AM classification of the principal diagnosis and the presence of organ dysfunction codes (Online Appendix).
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We calculated: the proportion of participants admitted to an intensive care unit (ICU), the proportion of participants who were mechanically ventilated, the lengths of hospital and ICU stay, and 90-day and 1-year mortality rates, both crude and for the Aboriginal and Torres Strait Islander population, adjusted by age and sex. We also calculated the proportions of participants readmitted to hospital within 90 days and within 1 year, and the proportion readmitted with a subsequent sepsis diagnosis. We conducted all analyses using Stata software, version 16 (StataCorp).
Rudd KE, Johnson SC, Agesa KM, et al. Global, regional, and national sepsis incidence and mortality, 1990–2017: analysis for the Global Burden of Disease Study. Lancet 2020; 395: 200-11
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: 1303-10
Results
Of 264 678 participants, 1928 (0.7%) identified as Aboriginal and/or Torres Strait Islander and 257 627 (97.5%) as non-Indigenous. The 4660 participants (1.7%) with unknown Aboriginal and/or Torres Strait Islander status were analysed separately.
The sociodemographic and behavioural characteristics (overall and by Aboriginal and Torres Strait Islander and non-Indigenous status) are reported in detail online (Online Appendix, eTable1). Similar to findings previously reported for this cohort, 6
Gubhaju L, McNamara BJ, Banks E, et al. The overall health and risk factor profile of Australian Aboriginal and Torres Strait Islander participants from the 45 and Up Study. BMC Public Health 2013; 13: 661