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      Chronic kidney disease in the context of multimorbidity patterns: the role of physical performance : The screening for CKD among older people across Europe (SCOPE) study

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          Abstract

          Background

          Chronic kidney disease (CKD) is known to be associated with several co-occurring conditions. We aimed at exploring multimorbidity patterns associated with CKD, as well as the impact of physical performance and CKD severity on them in a population of older outpatients.

          Methods

          Our series consisted of 2252 patients enrolled in the Screening of CKD among Older People across Europe multicenter observational study. Hypertension, stroke, transient ischemic attack, cancer, hip fracture, osteoporosis, Parkinson’s disease, asthma, chronic obstructive pulmonary disease, congestive heart failure, angina, myocardial infarction, atrial fibrillation, anemia, CKD (defined as GFR < 60, < 45 or < 30 ml/min/1.73 m 2), cognitive impairment, depression, hearing impairment and vision impairment were included in the analyses. Physical performance was assessed by the Short Physical Performance Battery (SPPB) and used as stratification variable. Pairs of co-occurring diseases were analyzed by logistic regression. Patterns of multimorbidity were investigated by hierarchical cluster analysis.

          Results

          CKD was among the most frequently observed conditions and it was rarely observed without any other co-occurring disease. CKD was significantly associated with hypertension, anemia, heart failure, atrial fibrillation, myocardial infarction and hip fracture. When stratifying by SPPB, CKD was also significantly associated with vision impairment in SPPB = 5–8 group, and hearing impairment in SPPB = 0–4 group. Cluster analysis individuated two main clusters, one including CKD, hypertension and sensory impairments, and the second including all other conditions. Stratifying by SPPB, CKD contribute to a cluster including diabetes, anemia, osteoporosis, hypertension and sensory impairments in the SPPB = 0–4 group. When defining CKD as eGFR< 45 or 30 ml/min/1.73 m 2, the strength of the association of CKD with hypertension, sensory impairments, osteoporosis, anemia and CHF increased together with CKD severity in pairs analysis. Severe CKD (eGFR< 30 ml/min/1.73 m 2) contributed to a wide cluster including cardiovascular, respiratory and neurologic diseases, as well as osteoporosis, hip fracture and cancer.

          Conclusions

          CKD and its severity may contribute significantly to specific multimorbidity patterns, at least based on the cluster analysis. Physical performance as assessed by SPPB may be associated with not negligible changes in both co-occurring pairs and multimorbidity clusters.

          Trial registration

          The SCOPE study is registered at clinicaltrials.gov ( NCT02691546).

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          Most cited references32

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          Lower-extremity function in persons over the age of 70 years as a predictor of subsequent disability.

          Functional assessment is an important part of the evaluation of elderly persons. We conducted this study to determine whether objective measures of physical function can predict subsequent disability in older persons. This prospective cohort study included men and women 71 years of age or older who were living in the community, who reported no disability in the activities of daily living, and who reported that they were able to walk one-half mile (0.8 km) and climb stairs without assistance. The subjects completed a short battery of physical-performance tests and participated in a follow-up interview four years later. The tests included an assessment of standing balance, a timed 8-ft (2.4-m) walk at a normal pace, and a timed test of five repetitions of rising from a chair and sitting down. Among the 1122 subjects who were not disabled at base line and who participated in the four-year follow-up, lower scores on the base-line performance tests were associated with a statistically significant, graduated increase in the frequency of disability in the activities of daily living and mobility-related disability at follow-up. After adjustment for age, sex, and the presence of chronic disease, those with the lowest scores on the performance tests were 4.2 to 4.9 times as likely to have disability at four years as those with the highest performance scores, and those with intermediate performance scores were 1.6 to 1.8 times as likely to have disability. Among nondisabled older persons living in the community, objective measures of lower-extremity function were highly predictive of subsequent disability. Measures of physical performance may identify older persons with a preclinical stage of disability who may benefit from interventions to prevent the development of frank disability.
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            KDIGO 2012 Clinic practice guideline for the evaluation and management of chronic kidney disease

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              • Article: not found

              Relation between renal dysfunction and cardiovascular outcomes after myocardial infarction.

              The presence of coexisting conditions has a substantial effect on the outcome of acute myocardial infarction. Renal failure is associated with one of the highest risks, but the influence of milder degrees of renal impairment is less well defined. As part of the Valsartan in Acute Myocardial Infarction Trial (VALIANT), we identified 14,527 patients with acute myocardial infarction complicated by clinical or radiologic signs of heart failure, left ventricular dysfunction, or both, and a documented serum creatinine measurement. Patients were randomly assigned to receive captopril, valsartan, or both. The glomerular filtration rate (GFR) was estimated by means of the four-component Modification of Diet in Renal Disease equation, and the patients were grouped according to their estimated GFR. We used a 70-candidate variable model to adjust and compare overall mortality and composite cardiovascular events among four GFR groups. The distribution of estimated GFR was wide and normally shaped, with a mean (+/-SD) value of 70+/-21 ml per minute per 1.73 m2 of body-surface area. The prevalence of coexisting risk factors, prior cardiovascular disease, and a Killip class of more than I was greatest among patients with a reduced estimated GFR (less than 45.0 ml per minute per 1.73 m2), and the use of aspirin, beta-blockers, statins, or coronary-revascularization procedures was lowest in this group. The risk of death or the composite end point of death from cardiovascular causes, reinfarction, congestive heart failure, stroke, or resuscitation after cardiac arrest increased with declining estimated GFRs. Although the rate of renal events increased with declining estimated GFRs, the adverse outcomes were predominantly cardiovascular. Below 81.0 ml per minute per 1.73 m2, each reduction of the estimated GFR by 10 units was associated with a hazard ratio for death and nonfatal cardiovascular outcomes of 1.10 (95 percent confidence interval, 1.08 to 1.12), which was independent of the treatment assignment. Even mild renal disease, as assessed by the estimated GFR, should be considered a major risk factor for cardiovascular complications after a myocardial infarction. Copyright 2004 Massachusetts Medical Society
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                Author and article information

                Contributors
                a.corsonello@inrca.it
                p.fabbietti@inrca.it
                fformiga@bellvitgehospital.cat
                rmorenog@bellvitgehospital.cat
                l.tap@erasmusmc.nl
                f.mattaceraso@erasmusmc.nl
                regina.roller-wirnsberger@medunigraz.at
                gerhard.wirnsberger@medunigraz.at
                johan.arnlov@ki.se
                axel.carlsson@ki.se
                Christian.Weingart@barmherzige-regensburg.de
                ellen.freiberger@fau.de
                tomasz.kostka@umed.lodz.pl
                agnieszka.guligowska@umed.lodz.pl
                pgil@salud.madrid.org
                slainezm@outlook.es
                itzikm@bgu.ac.il
                rada.artzi@gmail.com
                f.lattanzio@inrca.it
                Journal
                BMC Geriatr
                BMC Geriatrics
                BioMed Central (London )
                1471-2318
                2 October 2020
                2 October 2020
                2020
                : 20
                Issue : Suppl 1 Issue sponsor : SCOPE study and publication costs are funded by the European Union Horizon 2020 program. The articles have undergone the journal's standard peer review process for supplements. The Supplement Editors declare that they have no competing interests.
                : 350
                Affiliations
                [1 ]GRID grid.418083.6, ISNI 0000 0001 2152 7926, Italian National Research Center on Aging (IRCCS INRCA), ; Ancona, Fermo and Cosenza, Italy
                [2 ]Laboratory of Geriatric Pharmacoepidemiology and Biostatistics, IRCCS INRCA, Via S. Margherita 5, 60124 Ancona, Italy
                [3 ]GRID grid.411129.e, ISNI 0000 0000 8836 0780, Geriatric Unit, Internal Medicine Department, , Bellvitge University Hospital – IDIBELL – L’Hospitalet de Llobregat, ; Barcelona, Spain
                [4 ]GRID grid.5645.2, ISNI 000000040459992X, Section of Geriatric Medicine, Department of Internal Medicine, , Erasmus MC, University Medical Center Rotterdam, ; Rotterdam, The Netherlands
                [5 ]GRID grid.11598.34, ISNI 0000 0000 8988 2476, Department of Internal Medicine, , Medical University of Graz, ; Graz, Austria
                [6 ]GRID grid.8993.b, ISNI 0000 0004 1936 9457, Department of Medical Sciences, , Uppsala University, ; Uppsala, Sweden
                [7 ]GRID grid.411953.b, ISNI 0000 0001 0304 6002, School of Health and Social Studies, , Dalarna University, ; Falun, Sweden
                [8 ]GRID grid.4714.6, ISNI 0000 0004 1937 0626, Division of Family Medicine, Department of Neurobiology, , Care Sciences and Society, Karolinska Institutet, ; Huddinge, Sweden
                [9 ]GRID grid.469954.3, ISNI 0000 0000 9321 0488, Department of General Internal Medicine and Geriatrics, Institute for Biomedicine of Aging, Krankenhaus Barmherzige Brüder, Friedrich-Alexander-Universität Erlangen-Nürnberg, ; Regensburg, 93049 Germany
                [10 ]GRID grid.5330.5, ISNI 0000 0001 2107 3311, Department of Internal Medicine-Geriatrics, Institute for Biomedicine of Aging, Krankenhaus Barmherzige Brüder, Friedrich-Alexander Universität Erlangen-Nürnberg, ; Koberger Strasse 60, 90408 Nuremberg, Germany
                [11 ]GRID grid.8267.b, ISNI 0000 0001 2165 3025, Department of Geriatrics, , Healthy Ageing Research Centre, Medical University of Lodz, ; Lodz, Poland
                [12 ]GRID grid.411068.a, ISNI 0000 0001 0671 5785, Department of Geriatric Medicine, , Hospital Clinico San Carlos, ; Madrid, Spain
                [13 ]GRID grid.7489.2, ISNI 0000 0004 1937 0511, The Recanati School for Community Health Professions at the faculty of Health Sciences, , Ben-Gurion University of the Negev, ; Beersheba, Israel
                [14 ]Maccabi Health Organization, Negev District, Israel
                Author information
                http://orcid.org/0000-0003-2130-3070
                Article
                1696
                10.1186/s12877-020-01696-4
                7532089
                33008303
                c35e9ef3-650a-4fab-bbbd-0720d478e32f
                © The Author(s) 2020

                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
                : 6 August 2020
                : 11 August 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100010661, Horizon 2020 Framework Programme;
                Award ID: 634869
                Award ID: 634869
                Award ID: 634869
                Award ID: 634869
                Award ID: 634869
                Award ID: 634869
                Award ID: 634869
                Award ID: 634869
                Award ID: 634869
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2020

                Geriatric medicine
                chronic kidney disease,multimorbidity,short physical performance battery,older

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