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Nephrology (Carlton) ; 24(10): 1017-1025, 2019 Oct.
Article in English | MEDLINE | ID: mdl-30467996

ABSTRACT

AIM: To describe sociodemographic characteristics and comorbidities of a large cohort of Australian general practice-based patients identified as having chronic kidney disease (CKD), using data from National Prescribing Service (NPS) MedicineWise's MedicineInsight dataset, and compare this dataset to the 2011-2012 Australian Health Survey's (AHS) CKD prevalence estimates. METHODS: This was a cohort study using deidentified, longitudinal, electronic health record data collected from 329 practices and 1 483 416 patients distributed across Australia, from 1 June 2013 until 1 June 2016. Two methods were used to calculate the CKD prevalence. One used the same method as used by the 2011-2012 AHS, based on one estimate of the estimated glomerular filtration rate (eGFR) or albumin/creatinine ratios (ACR). The other defined CKD more rigorously using eGFR or ACR results at least 90 days apart. RESULTS: In 2016, of 1 310 602 active patients, 710 674 (54.2%) did not have an eGFR or ACR test, while 524 961 (40.1%) had an eGFR or ACR test but did not meet AHS criteria for CKD. Age-sex adjusted rates of CKD (compared to AHS) were CKD 1-0.45% (3.9%), CKD 2-0.62% (2.5%), CKD 3a: 3.1% (2.7%), CKD 3b: 1.14% (0.6%), CKD 4-5: 0.41% (0.3%). The CKD cohort defined more rigorously using eGFR and ACR measures >90 days apart, had comorbidities of atrial fibrillation (30.5%), cardiovascular disease (25.0%), diabetes mellitus (17.1%) and hypertension (14.8%). CONCLUSION: The MedicineInsight dataset contains valuable and timely information about Australian patients with CKD, and provides prevalence estimates similar to those from AHS data.


Subject(s)
Cardiovascular Diseases/epidemiology , Diabetes Mellitus/epidemiology , General Practice , Renal Insufficiency, Chronic , Aged , Australia/epidemiology , Cohort Studies , Comorbidity , Electronic Health Records/statistics & numerical data , Female , General Practice/methods , General Practice/statistics & numerical data , Glomerular Filtration Rate , Humans , Male , Middle Aged , Practice Patterns, Physicians'/statistics & numerical data , Prevalence , Renal Insufficiency, Chronic/epidemiology , Renal Insufficiency, Chronic/therapy
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