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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">IJPDS</journal-id>
<journal-title-group>
<journal-title>International Journal of Population Data Science</journal-title>
<abbrev-journal-title>IJPDS</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2399-4908</issn>
<publisher>
<publisher-name>Swansea University</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.23889/ijpds.v6i1.1665</article-id>
<article-id pub-id-type="publisher-id">6:1:1665</article-id>
<article-id pub-id-type="pii">S2399490821016657</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Population Data Science</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Island medicine: using data linkage to establish the kidney health of the population of Tasmania, Australia</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Jose</surname><given-names initials="M">Matthew</given-names></name><xref ref-type="aff" rid="affil-1">1</xref><xref ref-type="aff" rid="affil-2">2</xref><xref ref-type="aff" rid="affil-3">3</xref><xref ref-type="corresp" rid="correspondingAurthor">*</xref></contrib>
<contrib contrib-type="author"><name><surname>Raj</surname><given-names initials="R">Rajesh</given-names></name><xref ref-type="aff" rid="affil-1">1</xref><xref ref-type="aff" rid="affil-4">4</xref></contrib>
<contrib contrib-type="author"><name><surname>Jose</surname><given-names initials="K">Kim</given-names></name><xref ref-type="aff" rid="affil-5">5</xref></contrib>
<contrib contrib-type="author"><name><surname>Kitsos</surname><given-names initials="A">Alex</given-names></name><xref ref-type="aff" rid="affil-1">1</xref></contrib>
<contrib contrib-type="author"><name><surname>Saunder</surname><given-names initials="T">Tim</given-names></name><xref ref-type="aff" rid="affil-1">1</xref></contrib>
<contrib contrib-type="author"><name><surname>McKercher</surname><given-names initials="C">Charlotte</given-names></name><xref ref-type="aff" rid="affil-5">5</xref></contrib>
<contrib contrib-type="author"><name><surname>Radfor</surname><given-names initials="J">Jan</given-names></name><xref ref-type="aff" rid="affil-1">1</xref></contrib>
<aff id="affil-1"><label>1</label><institution>School of Medicine, University of Tasmania, 17 Liverpool St, Hobart, 7000, Tasmania, Australia</institution></aff>
<aff id="affil-2"><label>2</label><institution>Renal Unit, Royal Hobart Hospital, Tasmanian Health Service, 48 Liverpool St, Hobart, Tasmania, Australia</institution></aff>
<aff id="affil-3"><label>3</label><institution>Australia and New Zealand Dialysis and Transplant Registry (ANZDATA), North Terrace, Adelaide, South Australia</institution></aff>
<aff id="affil-4"><label>4</label><institution>Renal Unit, Launceston General Hospital, Tasmanian Health Service, 274 Charles St, Launceston, 7250, Tasmania, Australia</institution></aff>
<aff id="affil-5"><label>5</label><institution>Menzies Institute for Medical Research, University of Tasmania, 17 Liverpool St, Hobart, 7000, Tasmania, Australia</institution></aff>
</contrib-group>
<author-notes>
<corresp id="correspondingAurthor"><label>*</label>Corresponding author: Matthew Jose <email>Matthew.Jose@utas.edu.au</email>
</corresp>
<fn fn-type="conflict">
<label>Statement on conflicts of interest</label>
<p>This work was made possible through funding from the Tasmanian Community Fund and the Royal Hobart Hospital Research Foundation.</p>
<p>The authors declare no further conflict of interest in relation to this current manuscript.</p>
</fn>
</author-notes>
<pub-date date-type="pub" publication-format="electronic"><day>03</day><month>08</month><year>2021</year></pub-date>
<pub-date date-type="collection" publication-format="electronic"><year>2021</year></pub-date>
<volume>6</volume>
<issue>1</issue>
<elocation-id>1665</elocation-id>
<permissions>
<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by-nc-nd/4.0/">
<license-p>This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.</license-p>
</license>
</permissions>
<self-uri xlink:href="https://ijpds.org/article/view/1665">This article is available from the IJPDS website at: https://ijpds.org/article/view/1665</self-uri>
<abstract>
<title>Abstract</title>
<sec>
<title>Objective</title>
<p>To report (using linked laboratory data) the incidence, prevalence and geographic variation of chronic kidney disease (CKD) across the whole island population of Tasmania, Australia.</p>
</sec>
<sec>
<title>Methods</title>
<p>A retrospective cohort study (the Tasmanian Chronic Kidney Disease study (CKD.TASlink)) using linked data from five health and two pathology datasets from the island state of Tasmania, Australia between 1/1/2004 and 31/12/2017. We used data on 460,737 Tasmanian adults (aged 18 years and older, representing 86.8% of the state&#x2019;s population) who had a serum creatinine measured during the study period. We defined CKD as per Kidney Disease Outcomes Quality Initiative, requiring two measures of estimated glomerular filtration rate (eGFR) &#x003C;60 mL/min/1.73m<sup>2</sup>, at least three months apart. Kidney replacement therapy (KRT) included dialysis or kidney transplantation.</p>
</sec>
<sec>
<title>Results</title>
<p>We identified 56,438 Tasmanians with CKD during the study period, equating to an age-standardised annual incidence of 1.0% and a prevalence of 6.5%. These figures were higher in women, older Tasmanians and people living in the North-West region of Tasmania. Testing for urinary albumin:creatinine ratio is increasing, with 28.5% of women and 30.8% of men with stage 3 CKD having both an eGFR and uACR in 2017. Use of KRT was consistently seen in &#x003E;65% of Tasmanians with eGFR &#x003C;15 mL/min/1.73m<sup>2</sup>.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>There is geographic and gender variation in the incidence and prevalence of CKD, but it is reassuring to see that the majority of people with end-stage kidney failure are actually receiving treatment with dialysis or transplantation.</p>
</sec>
</abstract>
<kwd-group>
<kwd>Chronic kidney disease</kwd>
<kwd>dialysis</kwd>
<kwd>epidemiology</kwd>
<kwd>Tasmania</kwd>
<kwd>transplantation</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec>
<title>Background</title>
<p>The burden of chronic kidney disease (CKD) in Australia is increasing rapidly [<xref ref-type="bibr" rid="ref-1">1</xref>]. However, the financial cost of treating all people with kidney failure with dialysis or kidney transplantation is unsustainable and the community cost undesirable [<xref ref-type="bibr" rid="ref-2">2</xref>]. Early detection and intervention to prevent progression of CKD is relatively simple, cheap and a community priority. The population of Tasmania, an island state of Australia, has a high burden of chronic disease, including hypertension, obesity, cardiovascular disease and mental health problems [<xref ref-type="bibr" rid="ref-3">3</xref>]. All of these are known risk factors for the development of kidney disease, a progressive condition that once it is well established, it is (currently) not possible to reverse.</p>
<p>Kidney disease is diagnosed by measuring albumin in a urine sample (urine albumin:creatinine ratio, uACR) and creatinine in a blood test. The latter is then used to estimate glomerular filtration rate (eGFR), a measure of kidney function. CKD is defined as an abnormality of structure or function, present for &#x2265;3 months, and is classified based on cause, eGFR and uACR categories. These categories allow standardised staging of CKD from stage one (normal, eGFR &#x2265;90 mL/min/1.73m<sup>2</sup>) through stages two (mild decreased, eGFR 60&#x2013;89 mL/min/1.73m<sup>2</sup>), three (moderate decrease, eGFR 30&#x2013;59 mL/min/1.73m<sup>2</sup>), four (severe decreased, eGFR 15&#x2013;29 mL/min/1.73m<sup>2</sup>) and stage five (kidney failure, eGFR &#x2264;15 mL/min/1.73m<sup>2</sup>). Use of kidney replacement therapy (dialysis or kidney transplantation) occurs in stage five when appropriate.</p>
<p>Population estimates of CKD in Australia come from the Australian Health Survey (2011&#x2013;12), where approximately 11,000 Australians each provided a single blood and urine sample. This population survey reported a higher prevalence of CKD per population in Tasmania than in any other state [<xref ref-type="bibr" rid="ref-3">3</xref>]. Albuminuria was present in 8.5% of Tasmanians compared with 7.7% in the rest of Australia, whilst eGFR &#x2264;60 mL/min/1.73m<sup>2</sup> occurred in 4.6% of Tasmanians compared with 3.5% in the rest of Australia [<xref ref-type="bibr" rid="ref-3">3</xref>]. Therefore, by standard definitions [<xref ref-type="bibr" rid="ref-4">4</xref>], Tasmania has the highest state prevalence of CKD in Australia.</p>
<p>Despite the increased prevalence of CKD, Tasmania has the lowest incidence of kidney failure treated with dialysis or transplantation (Kidney Replacement Therapy, KRT) of any Australian state or territory. In 2018 the incident rate of KRT was 87 per million population (pmp) in Tasmania, but 124pmp for Australia overall [<xref ref-type="bibr" rid="ref-5">5</xref>]. The prevalence rate of KRT was 939pmp, lower than national rate of 1026pmp, with the largest difference being use of dialysis where the prevalence was 400pmp in Tasmania compared to 536pmp in Australia overall [<xref ref-type="bibr" rid="ref-5">5</xref>]. Clearly there is a gap between the high rate of CKD reported by the Australian Health Survey and the low use of KRT. We first identified this gap in Tasmania in 2009 [<xref ref-type="bibr" rid="ref-6">6</xref>] and it was demonstrated again in 2011 by the Australian Institute of Health and Welfare report on total incidence of end-stage kidney disease. This report showed that for all people who die with kidney failure, Tasmanians were less likely to be treated with KRT than other Australians [<xref ref-type="bibr" rid="ref-7">7</xref>].</p>
<p>Tasmania is a small island state of approximately 68,000 km<sup>2</sup> located 250km to the south of mainland Australia. KRT facilities in Tasmania are currently provided in the North-West (Burnie), North (Launceston General Hospital and Kings Meadows) and South (Royal Hobart Hospital and Newtown), corresponding to resident adult (age 18 years and older) populations of approximately 87,000, 113,000 and 209,000 respectively [<xref ref-type="bibr" rid="ref-8">8</xref>]. All of Tasmania is classified as regional, remote or very remote according to Australian Standard Geographical Classification with distances between place of residence and dialysis facility up to 200km [<xref ref-type="bibr" rid="ref-9">9</xref>]. All acute transplant surgery takes place in Melbourne, Victoria.</p>
<p>To understand the relationship between kidney health and disease in the community and access to KRT in specific locations across the island state, we established a linked dataset containing both community and hospital data [<xref ref-type="bibr" rid="ref-10">10</xref>]. The aim of this present study was to confirm the state incidence and prevalence of CKD and use of KRT in Tasmania.</p>
</sec>
<sec>
<title>Methods</title>
<p>The Tasmanian Chronic Kidney Disease study (CKD.TASlink) was a retrospective cohort study that examined a dataset created by linkage of seven existing local health information datasets. Detailed methods and linked data obtained are available elsewhere [<xref ref-type="bibr" rid="ref-10">10</xref>]. Briefly, pathology data on 490,012 individuals (from birth) was obtained from community and hospital-based pathology providers between 1/1/2004 to 31/12/2017. Individuals were selected if they had a serum creatinine requested by their treating doctor. Linkage to the Australia and New Zealand Dialysis and Transplant Registry (ANZDATA), Tasmanian public hospital admitted patient dataset, Tasmanian public hospital emergency presentation dataset, Tasmanian cancer registry and the Tasmanian death registry was performed by the Tasmanian Data Linkage Unit. These linked datasets were specifically chosen to allow us to identify and follow longitudinally an individual with CKD (via the pathology dataset), examine their health service use (emergency presentations and admitted patient datasets), development of additional comorbidities (admitted patient dataset and cancer registry) and outcomes of kidney replacement therapy (ANZDATA) or death (death registry).</p>
<sec>
<title>Representativeness of the dataset</title>
<p>The estimated Tasmanian resident population (ERP) in 2017 was 522,410 of which 409,729 were aged 18 years and older [<xref ref-type="bibr" rid="ref-8">8</xref>]. Individuals identified within the dataset comprised 47.6% of the overall adult Tasmanian population when studied over one year, 74.2% over three years and 86.8% over five years in the period 2013 to 2017 [<xref ref-type="bibr" rid="ref-10">10</xref>]. As this is a pathology dataset based on serum creatinine, annual representation varied with age: for instance, in 2017, 82.5% of Tasmanian 80 to 84-year-olds were represented, but only 7.8% of people under 18 years. Ethnicity was recorded, but not considered in the analysis.</p>
</sec>
<sec>
<title>Data</title>
<p>Data is reported by count (actual number of individuals with CKD), crude rate (number or percentage of people with CKD per 10,000 estimated resident population (ERP) per calendar year), age-specific rate (where numerator and denominator relate to the same age group) and age-standardised rate (using direct age-standardisation method by comparing to the Australian ERP) [<xref ref-type="bibr" rid="ref-8">8</xref>].</p>
<p><italic>Geocoding</italic> of individual addresses was used to link to the Geocoded National Address File (G-NAF), then allocated to statistical area as per Australian Statistical Geography Standard [<xref ref-type="bibr" rid="ref-9">9</xref>]. For this study we used statistical area 4 (SA4). In Tasmania there are four SA4 areas: Hobart (2017 estimated [<xref ref-type="bibr" rid="ref-8">8</xref>] total resident adult (age 18 years and older) population 178,887), South East (30,415), Launceston and North East (113,231), West and North West (87,195). For the purposes of this study we combined Hobart and South East, so that all analyses are by the remaining 3 areas corresponding to major hospitals/health services.</p>
</sec>
<sec>
<title>Diagnosis of CKD</title>
<p>Chronic kidney disease in individuals 18 years and older was defined using Kidney Disease Improving Global Outcomes (KDIGO) criteria [<xref ref-type="bibr" rid="ref-11">11</xref>] (with eGFR<sub>creat</sub> calculated using the 2009 CKD Epidemiology Collaboration (CKD-EPI) creatinine equation (CKD-EPIeGFR) [<xref ref-type="bibr" rid="ref-12">12</xref>]), This required two reports of abnormal kidney function (eGFR &#x003C;60 mL/min per 1.73m<sup>2</sup>) at least 3 months apart or, in those with eGFR &#x2265;60 mL/min per 1.73m<sup>2</sup>, a urinary albumin-creatinine ratio (uACR) &#x2265;2.6 mg/mmol in males) or &#x2265;3.5 mg/mmol in females. CKD severity was classified according to the KDIGO CKD staging system using both the eGFR and uACR measures. For this, we considered stages G1&#x2013;G5 for eGFR and A1&#x2013;A3 for uACR categories [<xref ref-type="bibr" rid="ref-11">11</xref>]. Tasmanian laboratories use enzymatic assays for measurement of creatinine, immunoassay for urinary albumin and all results are isotope dilution mass-spectrometry (IDMS)-aligned as previously reported [<xref ref-type="bibr" rid="ref-13">13</xref>].</p>
</sec>
<sec>
<title>Definition of incidence</title>
<p>Within the study period, the first-time a patient met the KDIGO CKD criteria within our pathology dataset or had a start date in the ANZDATA dataset (indicating commencement of KRT), they were defined as having CKD.</p>
</sec>
<sec>
<title>Definition of prevalence</title>
<p>If a patient had started in the ANZDATA dataset prior to our study period, they were categorised as &#x2018;prevalent&#x2019; CKD in 2004 (start of study period). A patient remained a prevalent case until we had a confirmation of death from any of our datasets (death, AP, cancer, ANZDATA). To minimise bias, we censored observations at 18 months from last eGFR measurement, if no further eGFR measurements were made.</p>
<p>To enable comparisons with previous publications, including the Australian Health Survey [<xref ref-type="bibr" rid="ref-3">3</xref>] and the Australian Diabetes, Obesity and Lifestyle study (AUSDIAB) which did not use the standard Kidney Disease Outcomes Quality Initiative (KDOQI) definitions, we also considered a single-test definition of CKD where eGFR &#x003C;60 mL/min/1.73m<sup>2</sup> or uACR was recorded on the first test in any one calendar year. A single test cannot exclude short-term variation, likely due to intercurrent illness (rather than true chronic kidney disease).</p>
<p>The CKD.TASlink protocol was reviewed and approved by the Tasmanian Human Research Ethics Committee (Approved study H0016499).</p>
</sec>
</sec>
<sec>
<title>Results</title>
<p>During the 14-year study period, 460,737 Tasmanian adults had a serum creatinine measured. The CKD Cohort was detected as 56,438 which consisted of those detected by pathology met the international definition of CKD (56,039) or presence on the ANZDATA registry (399) [<xref ref-type="bibr" rid="ref-10">10</xref>]. There were 1051 individuals treated with KRT over the 14-year period, many subsequent to diagnosis.</p>
<sec>
<title>Incidence</title>
<p>The age-standardised annual incidence has plateaued over the last decade to around 99 per 10,000 Tasmanians or 1% of the adult population (<xref ref-type="table" rid="table-1">Table 1</xref>).</p>
<table-wrap id="table-1">
<label>Table 1: Incidence of CKD in Tasmania by calendar year using KDOQI definitions [4].</label>
<table>
<thead>
<tr>
<th rowspan="2" valign="middle" align="left" style="border-top: solid 1pt; border-bottom: solid 1pt"><bold>Year</bold></th>
<th rowspan="2" valign="middle" align="center" style="border-top: solid 1pt; border-bottom: solid 1pt"><bold>ERP (18+)*</bold></th>
<th rowspan="2" valign="middle" align="center" style="border-top: solid 1pt; border-bottom: solid 1pt"><bold>Number with CKD</bold></th>
<th colspan="2" valign="middle" align="center" style="border-top: solid 1pt; border-bottom: solid 1pt"><bold>Crude</bold></th>
<th rowspan="2" valign="middle" align="center" style="border-top: solid 1pt; border-bottom: solid 1pt"></th>
<th colspan="3" valign="middle" align="center" style="border-top: solid 1pt; border-bottom: solid 1pt"><bold>Age Standardised</bold></th>
</tr>
<tr>
<th valign="middle" align="center" style="border-top: solid 1pt; border-bottom: solid 1pt"><bold>%</bold></th>
<th valign="middle" align="center" style="border-top: solid 1pt; border-bottom: solid 1pt"><bold>per 10,000</bold></th>
<th valign="middle" align="center" style="border-top: solid 1pt; border-bottom: solid 1pt"><bold>%</bold></th>
<th valign="middle" align="center" style="border-top: solid 1pt; border-bottom: solid 1pt"><bold>per 10,000</bold></th>
<th valign="middle" align="center" style="border-top: solid 1pt; border-bottom: solid 1pt"><bold>95% CI</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">2004</td>
<td valign="middle" align="center">365,315</td>
<td valign="middle" align="center">5218</td>
<td valign="middle" align="center">1.43</td>
<td valign="middle" align="center">143</td>
<td valign="middle" align="center"></td>
<td valign="middle" align="center">1.38</td>
<td valign="middle" align="center">138</td>
<td valign="middle" align="center">134.3&#x2013;141.7</td>
</tr>
<tr>
<td valign="middle" align="left">2005</td>
<td valign="middle" align="center">363,771</td>
<td valign="middle" align="center">6264</td>
<td valign="middle" align="center">1.72</td>
<td valign="middle" align="center">172</td>
<td valign="middle" align="center"></td>
<td valign="middle" align="center">1.76</td>
<td valign="middle" align="center">176</td>
<td valign="middle" align="center">171.6&#x2013;180.4</td>
</tr>
<tr>
<td valign="middle" align="left">2006</td>
<td valign="middle" align="center">361,388</td>
<td valign="middle" align="center">5025</td>
<td valign="middle" align="center">1.39</td>
<td valign="middle" align="center">139</td>
<td valign="middle" align="center"></td>
<td valign="middle" align="center">1.53</td>
<td valign="middle" align="center">153</td>
<td valign="middle" align="center">148.8&#x2013;157.2</td>
</tr>
<tr>
<td valign="middle" align="left">2007</td>
<td valign="middle" align="center">361,190</td>
<td valign="middle" align="center">4204</td>
<td valign="middle" align="center">1.16</td>
<td valign="middle" align="center">116</td>
<td valign="middle" align="center"></td>
<td valign="middle" align="center">1.34</td>
<td valign="middle" align="center">134</td>
<td valign="middle" align="center">129.9&#x2013;138.1</td>
</tr>
<tr>
<td valign="middle" align="left">2008</td>
<td valign="middle" align="center">363,186</td>
<td valign="middle" align="center">3322</td>
<td valign="middle" align="center">0.91</td>
<td valign="middle" align="center">91</td>
<td valign="middle" align="center"></td>
<td valign="middle" align="center">1.09</td>
<td valign="middle" align="center">109</td>
<td valign="middle" align="center">105.3&#x2013;112.7</td>
</tr>
<tr>
<td valign="middle" align="left">2009</td>
<td valign="middle" align="center">366,960</td>
<td valign="middle" align="center">2944</td>
<td valign="middle" align="center">0.80</td>
<td valign="middle" align="center">80</td>
<td valign="middle" align="center"></td>
<td valign="middle" align="center">0.97</td>
<td valign="middle" align="center">97</td>
<td valign="middle" align="center">93.5&#x2013;100.5</td>
</tr>
<tr>
<td valign="middle" align="left">2010</td>
<td valign="middle" align="center">370,616</td>
<td valign="middle" align="center">3286</td>
<td valign="middle" align="center">0.89</td>
<td valign="middle" align="center">89</td>
<td valign="middle" align="center"></td>
<td valign="middle" align="center">1.05</td>
<td valign="middle" align="center">105</td>
<td valign="middle" align="center">101.4&#x2013;108.6</td>
</tr>
<tr>
<td valign="middle" align="left">2011</td>
<td valign="middle" align="center">372,643</td>
<td valign="middle" align="center">3876</td>
<td valign="middle" align="center">1.04</td>
<td valign="middle" align="center">104</td>
<td valign="middle" align="center"></td>
<td valign="middle" align="center">1.22</td>
<td valign="middle" align="center">122</td>
<td valign="middle" align="center">118.2&#x2013;125.8</td>
</tr>
<tr>
<td valign="middle" align="left">2012</td>
<td valign="middle" align="center">371,975</td>
<td valign="middle" align="center">4381</td>
<td valign="middle" align="center">1.18</td>
<td valign="middle" align="center">118</td>
<td valign="middle" align="center"></td>
<td valign="middle" align="center">1.38</td>
<td valign="middle" align="center">138</td>
<td valign="middle" align="center">133.9&#x2013;142.1</td>
</tr>
<tr>
<td valign="middle" align="left">2013</td>
<td valign="middle" align="center">370,730</td>
<td valign="middle" align="center">4515</td>
<td valign="middle" align="center">1.22</td>
<td valign="middle" align="center">122</td>
<td valign="middle" align="center"></td>
<td valign="middle" align="center">1.43</td>
<td valign="middle" align="center">143</td>
<td valign="middle" align="center">138.8&#x2013;147.2</td>
</tr>
<tr>
<td valign="middle" align="left">2014</td>
<td valign="middle" align="center">370,478</td>
<td valign="middle" align="center">3494</td>
<td valign="middle" align="center">0.94</td>
<td valign="middle" align="center">94</td>
<td valign="middle" align="center"></td>
<td valign="middle" align="center">1.12</td>
<td valign="middle" align="center">112</td>
<td valign="middle" align="center">108.3&#x2013;115.7</td>
</tr>
<tr>
<td valign="middle" align="left">2015</td>
<td valign="middle" align="center">371,571</td>
<td valign="middle" align="center">3164</td>
<td valign="middle" align="center">0.85</td>
<td valign="middle" align="center">85</td>
<td valign="middle" align="center"></td>
<td valign="middle" align="center">1.00</td>
<td valign="middle" align="center">100</td>
<td valign="middle" align="center">96.5&#x2013;103.5</td>
</tr>
<tr>
<td valign="middle" align="left">2016</td>
<td valign="middle" align="center">373,213</td>
<td valign="middle" align="center">3149</td>
<td valign="middle" align="center">0.84</td>
<td valign="middle" align="center">84</td>
<td valign="middle" align="center"></td>
<td valign="middle" align="center">0.95</td>
<td valign="middle" align="center">95</td>
<td valign="middle" align="center">91.7&#x2013;98.3</td>
</tr>
<tr>
<td valign="middle" align="left">2017</td>
<td valign="middle" align="center">376,941</td>
<td valign="middle" align="center">3314</td>
<td valign="middle" align="center">0.88</td>
<td valign="middle" align="center">88</td>
<td valign="middle" align="center"></td>
<td valign="middle" align="center">0.99</td>
<td valign="middle" align="center">99</td>
<td valign="middle" align="center">95.6&#x2013;102.4</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>*ERP (18+years) corrected for existing prevalence.</p>
<p>CKD: Chronic kidney disease, KDOQI: Kidney Disease Outcomes Quality Initiative [<xref ref-type="bibr" rid="ref-4">4</xref>], ERP: Estimated resident population, 18+: aged 18 years and older. 95% CI: 95<sup>th</sup> percentile confidence intervals.</p>
</table-wrap-foot>
</table-wrap>
<p>Up to 6,264 Tasmanians developed CKD for the first time each year during the study period. CKD was rarely seen in the 18&#x2013;54 year-old age group with an incidence of just 8 per 10,000 in 2017, but higher in the 55&#x2013;74 year-old age group at 137 per 10,000, and up to 677 per 10,000 for those aged 75 years and older (<xref ref-type="fig" rid="fig-1">Figure 1</xref>).</p>
<fig id="fig-1"><label>Figure 1: Incidence of CKD in Tasmania according to different age groups</label>
<graphic xlink:href="ijpds-06-1665-g001.tif"/>
</fig>
<p>There are consistent geographic differences in the age-standardised annual incidence of chronic kidney disease. In 2017, Launceston and North-East region had a 12% higher (98 per 10,000 age-standardised population) and West and North-West region had a 45% higher incidence (128 per 10,000) compared with Hobart and South-East (87 per 10,000) Tasmania (<xref ref-type="supplementary-material" rid="sup-a">Supplementary Table 1</xref>). Whilst there has been an overall reduction in incidence during the study period, incidence in the West and North-West region remains high.</p>
<p>Women were consistently more likely to develop CKD than men (<xref ref-type="supplementary-material" rid="sup-a">Supplementary Table 2</xref>). The age-standardised annual incidence has reduced in the last 10 years to around 105 per 10,000 Tasmanian women or 91 per 10,000 Tasmanian men.</p>
</sec>
<sec>
<title>Prevalence</title>
<p>The overall prevalence of CKD in Tasmania (using two measures of eGFR at least 90 days apart) increased nearly 50% between 2007 to 2017, so in 2017 there were more than 33,000 Tasmanians with CKD. This age-standardised prevalence has somewhat stabilised in the last 5 years at around 650 per 10,000 (6.5%), but is 31% higher in Tasmanian women than Tasmanian men, with age-standardised prevalence of 734 per 10,000 women and 562 per 10,000 men (<xref ref-type="fig" rid="fig-2">Figure 2</xref>).</p>
<fig id="fig-2"><label>Figure 2: Prevalence of (age-standardised) prevalence of CKD by gender</label>
<graphic xlink:href="ijpds-06-1665-g002.tif"/>
</fig>
<p>Using a single-test definition of CKD to allow comparison with the Australian Health Survey, AUSDIAB study and other single-measure reports, annual prevalence was double that of the two-measure KDOQI definition, consistently around 12&#x2013;13% (<xref ref-type="fig" rid="fig-3">Figure 3</xref>).</p>
<fig id="fig-3"><label>Figure 3: Prevalence of eGFR &#x003C;60 mL/min/1.73m<sup>2</sup> in Tasmania using a single measure (first test) in a calendar year</label>
<graphic xlink:href="ijpds-06-1665-g003.tif"/>
</fig>
<p>There are clear geographical differences (<xref ref-type="supplementary-material" rid="sup-a">Supplementary Table 3</xref>) in the age-standardised prevalence of CKD with the West and North-West having 18% greater prevalence (724 per 10,000) compared to Hobart and South East Tasmania (616 per 10,000) in 2017. This gap has increased in the last 10 years; in 2008 the relative difference was only 11%.</p>
<p>Whilst the increase in the number of Tasmanians with CKD was predominantly seen in the earlier stages G1-G3a, the latter stages (G3b, G4 and G5) show a 39% increase over the last decade from 6,871 in 2007 to 9,560 in 2017 (<xref ref-type="fig" rid="fig-4">Figure 4</xref> and <xref ref-type="supplementary-material" rid="sup-a">Supplementary Table 4</xref>).</p>
<fig id="fig-4"><label>Figure 4: Prevalence per year by CKD Stage</label>
<graphic xlink:href="ijpds-06-1665-g004.tif"/>
</fig>
<p>This data also confirms that among Tasmanians with end-stage kidney failure (eGFR &#x003C;15 mL/min/1.73m<sup>2</sup>), 60&#x2013;70% are treated with KRT in any one year; this has remained consistent over the last 10 years (<xref ref-type="supplementary-material" rid="sup-a">Supplementary Table 4</xref>).</p>
<p>Testing for urinary albumin remains low, with just 28.5% of women and 30.8% of men with stage 3 CKD having both an eGFR and uACR in 2017 (<xref ref-type="table" rid="table-2">Table 2</xref> and <xref ref-type="fig" rid="fig-5">Figure 5</xref>). Testing is more likely if resident in the North or North West, as well as for people with comorbid diabetes.</p>
<table-wrap id="table-2">
<label>Table 2: Percentage of Tasmanians having both Urine-ACR and eGFR tested in a single year (2017).</label>
<table>
<thead>
<tr>
<th valign="middle" align="left" style="border-top: solid 1pt; border-bottom: solid 1pt"></th>
<th valign="middle" align="center" style="border-top: solid 1pt; border-bottom: solid 1pt"><bold>Overall</bold></th>
<th valign="middle" align="center" style="border-top: solid 1pt; border-bottom: solid 1pt"><bold>Hobart and South East</bold></th>
<th valign="middle" align="center" style="border-top: solid 1pt; border-bottom: solid 1pt"><bold>Launceston and North East</bold></th>
<th valign="middle" align="center" style="border-top: solid 1pt; border-bottom: solid 1pt"><bold>West and North West</bold></th>
<th valign="middle" align="center" style="border-top: solid 1pt; border-bottom: solid 1pt"><bold>&#x003C;75 years</bold></th>
<th valign="middle" align="center" style="border-top: solid 1pt; border-bottom: solid 1pt"><bold>&#x003C;75 years + DM</bold></th>
<th valign="middle" align="center" style="border-top: solid 1pt; border-bottom: solid 1pt"><bold>&#x003C;75 years + HT</bold></th>
<th valign="middle" align="center" style="border-top: solid 1pt; border-bottom: solid 1pt"><bold>&#x003C;75 years + DM + HT</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td colspan="9" valign="middle" align="left"><bold>eGFR &#x003E; 60 mL/min/1.73m<sup>2</sup> (Stage 1 &#x0026; 2 CKD)</bold></td>
</tr>
<tr>
<td valign="middle" align="left"><bold>People</bold></td>
<td valign="middle" align="center">14.94</td>
<td valign="middle" align="center">12.03</td>
<td valign="middle" align="center">21.34</td>
<td valign="middle" align="center">14.69</td>
<td valign="middle" align="center">14.22</td>
<td valign="middle" align="center">59.03</td>
<td valign="middle" align="center">28.12</td>
<td valign="middle" align="center">55.22</td>
</tr>
<tr>
<td valign="middle" align="left"><bold>Women</bold></td>
<td valign="middle" align="center">12.94</td>
<td valign="middle" align="center">10.33</td>
<td valign="middle" align="center">18.20</td>
<td valign="middle" align="center">13.25</td>
<td valign="middle" align="center">12.10</td>
<td valign="middle" align="center">58.05</td>
<td valign="middle" align="center">26.93</td>
<td valign="middle" align="center">55.82</td>
</tr>
<tr>
<td valign="middle" align="left"><bold>Men</bold></td>
<td valign="middle" align="center">17.33</td>
<td valign="middle" align="center">14.07</td>
<td valign="middle" align="center">25.09</td>
<td valign="middle" align="center">16.43</td>
<td valign="middle" align="center">16.74</td>
<td valign="middle" align="center">59.78</td>
<td valign="middle" align="center">29.00</td>
<td valign="middle" align="center">54.79</td>
</tr>
<tr>
<td colspan="9" valign="middle" align="left"><bold>eGFR 30 - 60 mL/min/1.73m<sup>2</sup> (Stage 3 CKD)</bold></td>
</tr>
<tr>
<td valign="middle" align="left"><bold>People</bold></td>
<td valign="middle" align="center">29.59</td>
<td valign="middle" align="center">24.57</td>
<td valign="middle" align="center">36.50</td>
<td valign="middle" align="center">30.74</td>
<td valign="middle" align="center">35.92</td>
<td valign="middle" align="center">61.96</td>
<td valign="middle" align="center">40.44</td>
<td valign="middle" align="center">56.58</td>
</tr>
<tr>
<td valign="middle" align="left"><bold>Women</bold></td>
<td valign="middle" align="center">28.50</td>
<td valign="middle" align="center">23.16</td>
<td valign="middle" align="center">35.01</td>
<td valign="middle" align="center">30.57</td>
<td valign="middle" align="center">34.92</td>
<td valign="middle" align="center">61.43</td>
<td valign="middle" align="center">38.08</td>
<td valign="middle" align="center">55.03</td>
</tr>
<tr>
<td valign="middle" align="left"><bold>Men</bold></td>
<td valign="middle" align="center">30.80</td>
<td valign="middle" align="center">26.14</td>
<td valign="middle" align="center">38.20</td>
<td valign="middle" align="center">30.93</td>
<td valign="middle" align="center">36.93</td>
<td valign="middle" align="center">62.39</td>
<td valign="middle" align="center">42.32</td>
<td valign="middle" align="center">57.73</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Urine-ACR: Urine Albumin:Creatinine Ratio, eGFR: estimated Glomerular filtration rate. DM: Diabetes Mellitus, HT: Hypertension.</p>
</table-wrap-foot>
</table-wrap>
<fig id="fig-5"><label>Figure 5: KDOQI prevalence [11] of CKD in Women and Men using first eGFR and uACR measurement in the 2017</label>
<graphic xlink:href="ijpds-06-1665-g005.tif"/>
<attrib>CKD: Chronic kidney disease, KDOQI: Kidney Disease Outcomes Quality Initiative [<xref ref-type="bibr" rid="ref-4">4</xref>], Urine-ACR: Urine Albumin:Creatinine Ratio, eGFR: estimated Glomerular filtration rate, KRT: Kidney replacement Therapy (dialysis or transplantation).</attrib>
</fig>
</sec>
</sec>
<sec>
<title>Discussion</title>
<p>Here we report the most comprehensive study of CKD conducted in any Australian state. Taking a whole of population approach, we report the incidence and prevalence of CKD in Tasmania over a 14-year period using community and hospital pathology data. We confirm the slow, steady growth of CKD, predominantly in stages 3a and 3b, but with variation by age, gender and geography. Annual incidence is approximately 1.0%, with prevalence at 6.5% using international definitions [<xref ref-type="bibr" rid="ref-11">11</xref>].</p>
<p>The prevalence of CKD in Australia (using a single measure of eGFR) has been previously ascertained [<xref ref-type="bibr" rid="ref-3">3</xref>, <xref ref-type="bibr" rid="ref-14">14</xref>, <xref ref-type="bibr" rid="ref-15">15</xref>]. In a 2010 study, White and colleagues tested creatinine once in 11,247 people aged 25 years and over for the AUSDIAB study during 1999&#x2013;2000 and identified 5.8% had an eGFR &#x003C;60 mL/min/1.73m<sup>2</sup> [<xref ref-type="bibr" rid="ref-15">15</xref>]. The Australian Health Survey measured creatinine once in 2011&#x2013;2012 and reported a prevalence of eGFR &#x003C;60 mL/min/1.73m<sup>2</sup> in 3.6% of 17,042 Australian aged 18 years and over [<xref ref-type="bibr" rid="ref-3">3</xref>]. Using data from Australian general practices, we have previously reported a national prevalence of 5.1% using a single measurement of creatinine, and 4.1% when using KDIGO criteria [<xref ref-type="bibr" rid="ref-14">14</xref>]. The more stringent KDOQI two-measurement prevalence of 6.5% and the single-measurement prevalence of 12% confirms the relatively high community burden of CKD in Tasmania.</p>
<p>The increase in prevalence over the 14-year study period is also of interest, with a greater than 50% increase overall and 40% increase in the prevalence of stages G3b, G4 or G5. No previous study has provided this 14-year longitudinal view of CKD in Australia as the Australian Health Survey biomedical measures taken in 2011 have not been repeated. Our previous work has reported this increase in early CKD [<xref ref-type="bibr" rid="ref-14">14</xref>], but the increasing prevalence in latter stages of CKD is a concern. Once the eGFR drops below 45 mL/min/1.73m<sup>2</sup> (stage G3b, G4 or G5), morbidity and mortality (especially cardiovascular) increase [<xref ref-type="bibr" rid="ref-16">16</xref>]. These findings highlight the need for early detection and intervention to delay progression to latter stages, with measures that fall well within the domain of general practice (primary) care.</p>
<p>Testing for urinary albumin with a formal uACR through a laboratory remains suboptimal yet is consistent with practice across Australia [<xref ref-type="bibr" rid="ref-17">17</xref>]. Khanam et al., using the Medicine Insight dataset from Australian general Practices reported 19.7% of Australians with stage G3 CKD had a uACR tested in an 18-month period, but this increased to 68.7% if diabetic [<xref ref-type="bibr" rid="ref-17">17</xref>]. It is possible that a dipstick urinalysis is being used for testing for albuminuria or proteinuria, instead of the recommended uACR.</p>
<p>In contrast to previously published data, the majority of people in our study who reached stage 5 CKD in were treated with dialysis or kidney transplants [<xref ref-type="bibr" rid="ref-6">6</xref>, <xref ref-type="bibr" rid="ref-7">7</xref>]. The Australian Institute of Health and Welfare (AIHW) had reported that 61.3% of Tasmanians who die with CKD are never treated with dialysis or a transplant (increasing to 82% if aged &#x003E;70years) [<xref ref-type="bibr" rid="ref-7">7</xref>]. This is significantly higher than national figures of 50% and 70% respectively from their study [<xref ref-type="bibr" rid="ref-7">7</xref>]. Our data suggests that only 30&#x2013;40% of Tasmanians with an eGFR &#x003C;15 mL/min/1.73m<sup>2</sup> are not receiving KRT. The difference may be in the methodology used. For our work we censured people 12 months prior to death, whereas AIHW used coding from death certificates, so it is possible a number of people have a decline in function in that last 12 months prior to death.</p>
<p>The striking geographic differences in incidence and prevalence is consistent with previous data on chronic disease in regional and remote Australia. Whilst the whole of Tasmania is classified as regional or remote, parts of the North West region of Tasmania are classified as remote or very remote by the Australian Statistical Geography Standard [<xref ref-type="bibr" rid="ref-9">9</xref>]. Compared with major cities, rural Australians are treated with dialysis or transplants less frequently (with incidence rate ratios of 0.85 for inner regional and 0.81 for outer regional) and have a higher mortality rate (HR 1.08 for inner regional and 1.19 for outer regional) [<xref ref-type="bibr" rid="ref-18">18</xref>]. Australians living in &#x2018;rural and remote&#x2019; areas consistently report a greater number of health risk factors, lower levels of education and income, less access to health services and subsequently poorer health outcomes [<xref ref-type="bibr" rid="ref-19">19</xref>]. These differences are seen in Tasmania, with the people resident in the West and North-West of Tasmania having the highest number of risk factors for chronic disease [<xref ref-type="bibr" rid="ref-20">20</xref>, <xref ref-type="bibr" rid="ref-21">21</xref>], the highest incidence and prevalence of CKD as well as the greatest growth in CKD prevalence over the last decade.</p>
<p>A gender difference in CKD incidence and prevalence is well known [<xref ref-type="bibr" rid="ref-22">22</xref>] and identified in our results. Tasmanian women had up to 15% higher incidence and 30% higher prevalence of CKD than Tasmanian men. These differences were consistent over time and by geographic region. What we have not yet defined is the progression of CKD in an individual (and whether men progress faster) to an outcome of KRT or death. Both of these factors will be vital to understand the natural history of CKD in the Tasmanian community as men currently make up &#x003E;60% of all Tasmanians on KRT [<xref ref-type="bibr" rid="ref-5">5</xref>].</p>
<p>The strengths of this study include the whole of population approach, the longitudinal 14-year study-period and the use of both community and hospital-based laboratory data for diagnosis of CKD. There are limitations however, many of which are due to the retrospective, linked-data approach. The datasets used primarily exist for other purposes and therefore do not have the granular detail that a kidney-specific dataset might have. Whilst we did include the major laboratory providers, some smaller providers were not included, so it is possible that a small number of Tasmanians are not included.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>This study confirms the high and increasing community prevalence of CKD, especially in stage 3 CKD in the state of Tasmania. There are significant geographic and gender variations, especially when it comes to use of KRT, but it is reassuring to see that the majority of people with end-stage kidney failure are actually receiving KRT, contrary to previous Tasmanian reports. Understanding these geographic and gender variations are important to deliver equitable access to health services for the entire population of this island state of Australia.</p>
</sec>
<sec sec-type="supplementary-material">
<title>Supplementary Files</title>
<supplementary-material id="sup-a">
<label>Supplementary Tables</label>
<media mimetype="application" mime-subtype="pdf" xlink:href="ijpds-06-1665-s001.pdf"/>
</supplementary-material>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>The authors would like to thank the following organisations; Diagnostic Services Pty Ltd and Pathology South for provision of pathology data; the Department of Health, Tasmania for the supply of Tasmanian Public Hospital Admitted Patient and Emergency Department Presentations data; and the Registries of Births, Deaths and Marriages Tasmania, the Australian Coordinating Registry, the Coroners and the National Coronial Information System for Cause of Death Unit Record File data; the Australia and New Zealand Dialysis and Transplant Registry (ANZDATA) for provision of dialysis and transplant data; and the Tasmanian Data Linkage Unit for undertaking the linkage of these datasets.</p>
<p>Some of the data reported here have been supplied by the Australia and New Zealand Dialysis and Transplant Registry. The interpretation and reporting of these data are the responsibility of the authors and in no way should be seen as an official policy or interpretation of the Australia and New Zealand Dialysis and Transplant Registry.</p>
</ack>
<sec>
<title>Ethics statement</title>
<p>The CKD.TASlink protocol for this study was reviewed and approved by the Tasmanian Human Research Ethics Committee (Approved study H0016499).</p>
</sec>
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