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      Relationship of the American Heart Association's Impact Goals (Life's Simple 7) With Risk of Chronic Kidney Disease: Results From the Atherosclerosis Risk in Communities (ARIC) Cohort Study

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          Abstract

          Background

          As part of its 2020 Impact Goals, the American Heart Association developed the Life's Simple 7 metric for cardiovascular health promotion. The relationship between the Life's Simple 7 metric and incident chronic kidney disease ( CKD) is unknown.

          Methods and Results

          We estimated the association between Life's Simple 7 and incident CKD in 14 832 Atherosclerosis Risk in Communities study participants. Ideal levels of Life's Simple 7 health factors were the following: nonsmoker or quit >1 year ago; body mass index <25 kg/m 2; ≥150 minutes/week of physical activity; healthy dietary pattern (high in fruits and vegetables, fish, and fiber‐rich whole grains; low in sodium and sugar‐sweetened beverages); total cholesterol <200 mg/dL; blood pressure <120/80 mm Hg; and fasting blood glucose <100 mg/dL. At baseline, mean age was 54 years, 55% were women, and 26% were African American. There were 2743 incident CKD cases over a median follow‐up of 22 years. Smoking, body mass index, physical activity, blood pressure, and blood glucose were associated with CKD risk (all P<0.01), but diet and blood cholesterol were not. CKD risk was inversely related to the number of ideal health factors ( P‐trend<0.001). A model containing the Life's Simple 7 health factors was more predictive of CKD risk than the base model including only age, sex, race, and estimated glomerular filtration rate (Life's Simple 7 health factors area under the ROC curve: 0.73, 95% CI: 0.72, 0.74 versus base model area under the ROC curve: 0.68, 95% CI: 0.67, 0.69; P<0.001).

          Conclusions

          The AHA's Life's Simple 7 metric, developed to measure and promote cardiovascular health, predicts a lower risk of CKD.

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          Most cited references19

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          Cardiorenal syndrome.

          The term cardiorenal syndrome (CRS) increasingly has been used without a consistent or well-accepted definition. To include the vast array of interrelated derangements, and to stress the bidirectional nature of heart-kidney interactions, we present a new classification of the CRS with 5 subtypes that reflect the pathophysiology, the time-frame, and the nature of concomitant cardiac and renal dysfunction. CRS can be generally defined as a pathophysiologic disorder of the heart and kidneys whereby acute or chronic dysfunction of 1 organ may induce acute or chronic dysfunction of the other. Type 1 CRS reflects an abrupt worsening of cardiac function (e.g., acute cardiogenic shock or decompensated congestive heart failure) leading to acute kidney injury. Type 2 CRS comprises chronic abnormalities in cardiac function (e.g., chronic congestive heart failure) causing progressive chronic kidney disease. Type 3 CRS consists of an abrupt worsening of renal function (e.g., acute kidney ischemia or glomerulonephritis) causing acute cardiac dysfunction (e.g., heart failure, arrhythmia, ischemia). Type 4 CRS describes a state of chronic kidney disease (e.g., chronic glomerular disease) contributing to decreased cardiac function, cardiac hypertrophy, and/or increased risk of adverse cardiovascular events. Type 5 CRS reflects a systemic condition (e.g., sepsis) causing both cardiac and renal dysfunction. Biomarkers can contribute to an early diagnosis of CRS and to a timely therapeutic intervention. The use of this classification can help physicians characterize groups of patients, provides the rationale for specific management strategies, and allows the design of future clinical trials with more accurate selection and stratification of the population under investigation.
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            A Wilcoxon-type test for trend.

            J Cuzick (1985)
            An extension of the Wilcoxon rank-sum test is developed to handle the situation in which a variable is measured for individuals in three or more (ordered) groups and a non-parametric test for trend across these groups is desired. The uses of the test are illustrated by two examples from cancer research.
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              Body mass index and the risk of development of end-stage renal disease in a screened cohort.

              Obesity is associated with proteinuria and could be a risk factor for end-stage renal disease (ESRD). However, few studies have examined the significance of body mass index (BMI) as a risk factor for the development of ESRD in the general population. We examined the relationship between BMI and the development of ESRD using data from a 1983 community-based screening in Okinawa, Japan. Screenees who developed ESRD by the end of 2000 were identified through the Okinawa Dialysis Study registry. BMI data were available for 100,753 screenees (47,504 men and 53,249 women) aged >/=20 years. The cumulative incidence of ESRD was analyzed according to the quartile of BMI: /=25.5 kg/m(2). The mean (SD) BMI of the screenees was 23.4 (3.3) kg/m(2) (range 7.9 to 59.1 kg/m(2)); the mean was 23.4 kg/m(2) for both men and women. During the follow-up period, 404 screenees (232 men and 172 women) developed ESRD. The cumulative incidences of ESRD per 1000 screenees were, from the lowest to highest BMI quartile, 2.48, 3.79, 3.86, and 5.81. The odds ratio (95% CI) of BMI for developing ESRD, after adjustment for age, sex, systolic blood pressure, and proteinuria, was 1.273 (1.121-1.446, P= 0.0002) for men and 0.950 (0.825-1.094, not significant) for women. We found that BMI was associated with an increased risk of the development of ESRD in men in the general population in Okinawa. The maintenance of optimal body weight may reduce the risk of ESRD.
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                Author and article information

                Journal
                J Am Heart Assoc
                J Am Heart Assoc
                10.1002/(ISSN)2047-9980
                JAH3
                ahaoa
                Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
                John Wiley and Sons Inc. (Hoboken )
                2047-9980
                06 April 2016
                April 2016
                : 5
                : 4 ( doiID: 10.1002/jah3.2016.5.issue-4 )
                : e003192
                Affiliations
                [ 1 ] Department of EpidemiologyJohns Hopkins Bloomberg School of Public Health Baltimore MD
                [ 2 ] Welch Center for Prevention, Epidemiology, and Clinical ResearchJohns Hopkins University Baltimore MD
                [ 3 ] Division of Preventive Medicine Department of Family Medicine and Public HealthUniversity of California San Diego School of Medicine San Diego CA
                [ 4 ] Division of Nephrology Department of MedicineJohns Hopkins University School of Medicine Baltimore MD
                [ 5 ] Department of EpidemiologyTulane University School of Public Health and Tropical Medicine New Orleans LA
                [ 6 ] Division of NephrologyGeisinger Health System Danville PA
                [ 7 ] Division of General Internal Medicine Department of MedicineJohns Hopkins School of Medicine Baltimore MD
                Author notes
                [*] [* ] Correspondence to: Casey M. Rebholz, PhD, MPH, MS, Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, 2024 East Monument St, Suite 2‐600, Baltimore, MD 21287. E‐mail: crebhol1@ 123456jhu.edu
                Article
                JAH31444
                10.1161/JAHA.116.003192
                4859292
                27053058
                d42612f9-971b-4a3b-9f67-50f2a24f0a94
                © 2016 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley Blackwell.

                This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 06 January 2016
                : 24 February 2016
                Page count
                Pages: 10
                Funding
                Funded by: National Heart, Lung, and Blood Institute
                Award ID: HHSN268201100005C
                Award ID: HHSN268201100006C
                Award ID: HHSN268201100007C
                Award ID: HHSN268201100008C
                Award ID: HHSN268201100009C
                Award ID: HHSN268201100010C
                Award ID: HHSN268201100011C
                Award ID: HHSN268201100012C
                Funded by: National Institute of Diabetes and Digestive and Kidney Diseases
                Award ID: K23 DK097184
                Categories
                Original Research
                Original Research
                Epidemiology
                Custom metadata
                2.0
                jah31444
                April 2016
                Converter:WILEY_ML3GV2_TO_NLMPMC version:4.8.9 mode:remove_FC converted:04.05.2016

                Cardiovascular Medicine
                epidemiology,kidney,lifestyle,prevention,risk factors,primary prevention,nephrology and kidney

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