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      Online clinical pathway for chronic kidney disease management in primary care: a retrospective cohort study

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          Abstract

          Background

          Clinical pathways aim to improve patient care. We sought to determine whether an online chronic kidney disease (CKD) clinical pathway was associated with improvements in CKD management.

          Methods

          We conducted a retrospective pre/post population-based cohort study using linked health data from Alberta, Canada. We included adults 18 years or older with mean estimated glomerular filtration rate (eGFR) < 60 ml/min/1.73m 2. The primary outcome was measurement of an outpatient urine albumin creatinine ratio (ACR) in a 28-day period, among people without a test in the prior year. Secondary outcomes included use of guideline-recommended drug therapies (angiotensin-converting enzyme inhibitors, angiotensin receptor blockers and statins).

          Results

          The study period spanned October 2010 to March 2017. There were 84 independent 28-day periods (53 pre, 31 post pathway implementation) including 345,058 adults. The population was predominantly female (56%) with median age 77 years; most had category 3A CKD (67%) and hypertension (82%). In adjusted segmented regression models, the increase in the rate of change of ACR testing was greatest in Calgary zone (adjusted OR 1.19 per year, 95% CI 1.16–1.21), where dissemination of the pathway was strongest; this increase was more pronounced in those without diabetes (adjusted OR 1.25 per year, 95% CI 1.21–1.29). Small improvements in guideline-concordant medication use were also observed.

          Conclusions

          Following implementation of an online CKD clinical pathway, improvements in ACR testing were evident in regions where the pathway was most actively used, particularly among individuals without diabetes.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12882-021-02533-5.

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          Most cited references39

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          From best evidence to best practice: effective implementation of change in patients' care

          The Lancet, 362(9391), 1225-1230
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            Cardiovascular Disease in Chronic Kidney Disease

            Patients with chronic kidney disease (CKD) exhibit an elevated cardiovascular risk manifesting as coronary artery disease, heart failure, arrhythmias, and sudden cardiac death. Although the incidence and prevalence of cardiovascular events is already significantly higher in patients with early CKD stages (CKD stages 1–3) compared with the general population, patients with advanced CKD stages (CKD stages 4–5) exhibit a markedly elevated risk. Cardiovascular rather than end-stage kidney disease (CKD stage 5) is the leading cause of death in this high-risk population. CKD causes a systemic, chronic proinflammatory state contributing to vascular and myocardial remodeling processes resulting in atherosclerotic lesions, vascular calcification, and vascular senescence as well as myocardial fibrosis and calcification of cardiac valves. In this respect, CKD mimics an accelerated aging of the cardiovascular system. This overview article summarizes the current understanding and clinical consequences of cardiovascular disease in CKD.
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              Risk of coronary events in people with chronic kidney disease compared with those with diabetes: a population-level cohort study.

              Diabetes is regarded as a coronary heart disease risk equivalent-ie, people with the disorder have a risk of coronary events similar to those with previous myocardial infarction. We assessed whether chronic kidney disease should be regarded as a coronary heart disease risk equivalent. We studied a population-based cohort with measures of estimated glomerular filtration rate (eGFR) and proteinuria from Alberta, Canada. We used validated algorithms based on hospital admission and medical-claim data to classify participants with baseline history of myocardial infarction or diabetes and to ascertain which patients were admitted to hospital for myocardial infarction during follow-up (the primary outcome). For our primary analysis, we defined baseline chronic kidney disease as eGFR 15-59·9 mL/min per 1·73 m(2) (stage 3 or 4 disease). We used Poisson regression to calculate unadjusted rates and relative rates of myocardial infarction during follow-up for five risk groups: people with previous myocardial infarction (with or without diabetes or chronic kidney disease), and (of those without previous myocardial infarction), four mutually exclusive groups defined by the presence or absence of diabetes and chronic kidney disease. During a median follow-up of 48 months (IQR 25-65), 11,340 of 1,268,029 participants (1%) were admitted to hospital with myocardial infarction. The unadjusted rate of myocardial infarction was highest in people with previous myocardial infarction (18·5 per 1000 person-years, 95% CI 17·4-19·8). In people without previous myocardial infarction, the rate of myocardial infarction was lower in those with diabetes (without chronic kidney disease) than in those with chronic kidney disease (without diabetes; 5·4 per 1000 person-years, 5·2-5·7, vs 6·9 per 1000 person-years, 6·6-7·2; p<0·0001). The rate of incident myocardial infarction in people with diabetes was substantially lower than for those with chronic kidney disease when defined by eGFR of less than 45 mL/min per 1·73 m(2) and severely increased proteinuria (6·6 per 1000 person-years, 6·4-6·9 vs 12·4 per 1000 person-years, 9·7-15·9). Our findings suggest that chronic kidney disease could be added to the list of criteria defining people at highest risk of future coronary events. Alberta Heritage Foundation for Medical Research. Copyright © 2012 Elsevier Ltd. All rights reserved.
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                Author and article information

                Contributors
                Brenda.Hemmelgarn@ahs.ca
                Journal
                BMC Nephrol
                BMC Nephrol
                BMC Nephrology
                BioMed Central (London )
                1471-2369
                6 October 2021
                6 October 2021
                2021
                : 22
                : 332
                Affiliations
                [1 ]GRID grid.22072.35, ISNI 0000 0004 1936 7697, Department of Medicine, , University of Calgary, ; 3330 Hospital Drive NW, Calgary, AB T2N 4N1 Canada
                [2 ]GRID grid.22072.35, ISNI 0000 0004 1936 7697, Department of Family Medicine, Cumming School of Medicine, , University of Calgary, ; 3330 Hospital Drive NW, Calgary, AB T2N 4N1 Canada
                [3 ]GRID grid.17089.37, Faculty of Medicine & Dentistry, , University of Alberta, ; 2J2.01 Walter C MacKenzie Health Sciences Centre, Clinical Sciences Building, 8440 112 St NW, Edmonton, AB T6G 2B7 Canada
                [4 ]GRID grid.17063.33, ISNI 0000 0001 2157 2938, Department of Family & Community Medicine, , University of Toronto, ; Toronto, ON Canada
                Article
                2533
                10.1186/s12882-021-02533-5
                8496057
                34615462
                8c8d997d-bc02-49cf-986f-770fc09e9e6c
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 21 June 2021
                : 9 September 2021
                Categories
                Research
                Custom metadata
                © The Author(s) 2021

                Nephrology
                chronic kidney disease,primary care,clinical pathway,quality improvement,knowledge translation

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