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      Association of Intensive Lifestyle Intervention, Fitness, and Body Mass Index With Risk of Heart Failure in Overweight or Obese Adults With Type 2 Diabetes Mellitus : An Analysis From the Look AHEAD Trial

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          Abstract

          Background:

          Type 2 diabetes mellitus (T2DM) is associated with a higher risk for heart failure (HF). The impact of a lifestyle intervention and changes in cardiorespiratory fitness (CRF) and body mass index on risk for HF is not well established.

          Methods:

          Participants from the Look AHEAD trial (Action for Health in Diabetes) without prevalent HF were included. Time-to-event analyses were used to compare the risk of incident HF between the intensive lifestyle intervention and diabetes support and education groups. The associations of baseline measures of CRF estimated from a maximal treadmill test, body mass index, and longitudinal changes in these parameters with risk of HF were evaluated with multivariable adjusted Cox models.

          Results:

          Among the 5109 trial participants, there was no significant difference in the risk of incident HF (n=257) between the intensive lifestyle intervention and the diabetes support and education groups (hazard ratio, 0.96 [95% CI, 0.75–1.23]) over a median follow-up of 12.4 years. In the most adjusted Cox models, the risk of HF was 39% and 62% lower among moderate fit (tertile 2: hazard ratio, 0.61 [95% CI, 0.44–0.83]) and high fit (tertile 3: hazard ratio, 0.38 [95% CI, 0.24–0.59]) groups, respectively (referent group: low fit, tertile 1). Among HF subtypes, after adjustment for traditional cardiovascular risk factors and interval incidence of myocardial infarction, baseline CRF was not significantly associated with risk of incident HF with reduced ejection fraction. In contrast, the risk of incident HF with preserved ejection fraction was 40% lower in the moderate fit group and 77% lower in the high fit group. Baseline body mass index also was not associated with risk of incident HF, HF with preserved ejection fraction, or HF with reduced ejection fraction after adjustment for CRF and traditional cardiovascular risk factors. Among participants with repeat CRF assessments (n=3902), improvements in CRF and weight loss over a 4-year follow-up were significantly associated with lower risk of HF (hazard ratio per 10% increase in CRF, 0.90 [95% CI, 0.82–0.99]; per 10% decrease in body mass index, 0.80 [95% CI, 0.69–0.94]).

          Conclusions:

          Among participants with type 2 diabetes mellitus in the Look AHEAD trial, the intensive lifestyle intervention did not appear to modify the risk of HF. Higher baseline CRF and sustained improvements in CRF and weight loss were associated with lower risk of HF.

          Registration:

          URL: https://www.clinicaltrials.gov ; Unique identifier: NCT00017953.

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          Most cited references34

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          Risk of Cause-Specific Death in Individuals With Diabetes: A Competing Risks Analysis.

          Diabetes is a common cause of shortened life expectancy. We aimed to assess the association between diabetes and cause-specific death.
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            Classification of heart failure in the atherosclerosis risk in communities (ARIC) study: a comparison of diagnostic criteria.

            Population-based research on heart failure (HF) is hindered by lack of consensus on diagnostic criteria. Framingham (FRM), National Health and Nutrition Examination Survey (NHANES), Modified Boston (MBS), Gothenburg (GTH), and International Classification of Disease, 9th Revision, Clinical Modification (ICD-9-CM) code criteria, do not differentiate acute decompensated heart failure (ADHF) from chronic stable HF. We developed a new classification protocol for identifying ADHF in the Atherosclerosis Risk in Communities (ARIC) Study and compared it with these other schemes. A sample of 1180 hospitalizations with a patient address in 4 study communities and eligible discharge codes were selected. After assessing whether the chart contained evidence of possible HF signs, 705 were fully abstracted. Two independent reviewers classified each case as ADHF, chronic stable HF, or no HF, using ARIC classification guidelines. Fifty-nine percent of cases met ARIC criteria for ADHF and 13.9% and 27.1% were classified as chronic stable HF or no HF, respectively. Among events classified as HF by FRM criteria, 68.4% were validated as ADHF, 9.6% as chronic stable HF, and 21.9% as no HF. However, 92.5% of hospitalizations with a primary ICD-9-CM 428 "heart failure" code were validated as ADHF. Sensitivities of comparison criteria to classify ADHF ranged from 38-95%, positive predictive values from 62-92%, and specificities from 19-96%. Although comparison criteria for classifying HF were moderately sensitive in identifying ADHF, specificity varied when applied to a randomly selected set of suspected HF hospitalizations in the community.
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              Relationship Between Physical Activity, Body Mass Index, and Risk of Heart Failure.

              Lower leisure-time physical activity (LTPA) and higher body mass index (BMI) are independently associated with risk of heart failure (HF). However, it is unclear if this relationship is consistent for both heart failure with preserved ejection fraction (HFpEF) and heart failure with reduced ejection fraction (HFrEF).
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                Author and article information

                Journal
                Circulation
                Circulation
                Ovid Technologies (Wolters Kluwer Health)
                0009-7322
                1524-4539
                April 21 2020
                April 21 2020
                : 141
                : 16
                : 1295-1306
                Affiliations
                [1 ]Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas (A.P., K.V.P., D.K.M., J.D.B.).
                [2 ]Department of Biostatistics and Data Science (J.L.B., S.A.G.), Wake Forest School of Medicine, Winston-Salem, NC.
                [3 ]Pennington Biomedical Research Center, Louisiana State University, Baton Rouge (C.K.M.).
                [4 ]Section of Endocrinology, Diabetes, and Metabolism, Department of Internal Medicine, Baylor College of Medicine, Houston, TX (A.B.).
                [5 ]Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis (K.C.J.).
                [6 ]Division of Public Health Sciences (A.G.B.), Wake Forest School of Medicine, Winston-Salem, NC.
                [7 ]Department of Internal Medicine (D.K.), Wake Forest School of Medicine, Winston-Salem, NC.
                Article
                10.1161/CIRCULATIONAHA.119.044865
                32134326
                6244af0c-03aa-43aa-90bc-28204ca3ae8b
                © 2020
                History

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