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      Sex and Age Differences in the Association Between Metabolic Dysfunction-Associated Fatty Liver Disease and Heart Failure: A Prospective Cohort Study

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          Abstract

          BACKGROUND:

          Metabolic dysfunction-associated fatty liver disease (MAFLD) is a risk factor for heart failure (HF) occurrence, but it remains unclear whether the association between MAFLD and HF differs in different sexes and ages.

          METHODS:

          A total of 96 576 participants of Kailuan Study were included. MAFLD was defined as presence of hepatic steatosis and metabolic dysfunction and classified as mild and significant by ultrasound. Hazard ratios (HRs) were calculated by Cox regression models.

          RESULTS:

          After a median follow-up of 14.0 years, 2939 participants developed HF. Adjusting for confounding factors, mild-MAFLD (HR, 1.27 [95% CI, 1.16–1.39]) and significant-MAFLD (HR, 1.45 [95% CI, 1.31–1.63]) were associated with a higher risk of HF in all participants, and the risk differed by sex ( P interaction <0.05) and age ( P interaction <0.001). Compared with non-MAFLD participants, in women, significant-MAFLD was associated with an 84% (HR, 1.84 [95% CI, 1.43–2.37]) increased risk of HF; however, in men, the risk was 36% (HR, 1.36 [95% CI, 1.20–1.53]). In participants under 45 years, mild-MAFLD and significant-MAFLD had a 55% (HR, 1.55 [95% CI, 1.07–2.25]) and 172% (HR, 2.72 [95% CI, 1.87–3.97]) increased risk of HF; however, in participants over 65 years, even significant-MAFLD did not associate with a higher risk of HF (HR, 1.11 [95% CI, 0.92–1.34]). Afterwards, we stratified all participants by both sex and age and found that the risk of MAFLD-associated HF decreased with age in men ( P interaction <0.05) and women ( P interaction <0.05), but the sex difference in this risk was only present in participants younger than 45 years ( P interaction <0.05).

          CONCLUSIONS:

          MAFLD greatly increased the risk of HF in women, especially young women. With increasing age, MAFLD-related risk of HF decreased and the difference between men and women disappeared.

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          Most cited references39

          • Record: found
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          • Article: not found

          A new equation to estimate glomerular filtration rate.

          Equations to estimate glomerular filtration rate (GFR) are routinely used to assess kidney function. Current equations have limited precision and systematically underestimate measured GFR at higher values. To develop a new estimating equation for GFR: the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation. Cross-sectional analysis with separate pooled data sets for equation development and validation and a representative sample of the U.S. population for prevalence estimates. Research studies and clinical populations ("studies") with measured GFR and NHANES (National Health and Nutrition Examination Survey), 1999 to 2006. 8254 participants in 10 studies (equation development data set) and 3896 participants in 16 studies (validation data set). Prevalence estimates were based on 16,032 participants in NHANES. GFR, measured as the clearance of exogenous filtration markers (iothalamate in the development data set; iothalamate and other markers in the validation data set), and linear regression to estimate the logarithm of measured GFR from standardized creatinine levels, sex, race, and age. In the validation data set, the CKD-EPI equation performed better than the Modification of Diet in Renal Disease Study equation, especially at higher GFR (P < 0.001 for all subsequent comparisons), with less bias (median difference between measured and estimated GFR, 2.5 vs. 5.5 mL/min per 1.73 m(2)), improved precision (interquartile range [IQR] of the differences, 16.6 vs. 18.3 mL/min per 1.73 m(2)), and greater accuracy (percentage of estimated GFR within 30% of measured GFR, 84.1% vs. 80.6%). In NHANES, the median estimated GFR was 94.5 mL/min per 1.73 m(2) (IQR, 79.7 to 108.1) vs. 85.0 (IQR, 72.9 to 98.5) mL/min per 1.73 m(2), and the prevalence of chronic kidney disease was 11.5% (95% CI, 10.6% to 12.4%) versus 13.1% (CI, 12.1% to 14.0%). The sample contained a limited number of elderly people and racial and ethnic minorities with measured GFR. The CKD-EPI creatinine equation is more accurate than the Modification of Diet in Renal Disease Study equation and could replace it for routine clinical use. National Institute of Diabetes and Digestive and Kidney Diseases.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            The diagnosis and management of nonalcoholic fatty liver disease: Practice guidance from the American Association for the Study of Liver Diseases.

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Heart Disease and Stroke Statistics—2021 Update: A Report From the American Heart Association

              The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2021 Statistical Update is the product of a full year’s worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year’s edition includes data on the monitoring and benefits of cardiovascular health in the population, an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, the global burden of cardiovascular disease, and further evidence-based approaches to changing behaviors related to cardiovascular disease. Each of the 27 chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. The Statistical Update represents a critical resource for the lay public, policy makers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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                Author and article information

                Contributors
                Journal
                Circulation: Heart Failure
                Circ: Heart Failure
                Ovid Technologies (Wolters Kluwer Health)
                1941-3289
                1941-3297
                February 2024
                February 2024
                : 17
                : 2
                Affiliations
                [1 ]Department of Cardiology, Kailuan General Hospital, Tangshan, China (S.W., S.C.).
                [2 ]Department of Epidemiology and Biostatistics, School of Public Health, (Y.L., Y.Z., X.S., G.X., Y.H.), Capital Medical University, China.
                [3 ]Beijing Municipal Key Laboratory of Clinical Epidemiology, China (Y.L., Y.Z., X.S., G.X.).
                [4 ]Department of Clinical Epidemiology, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital (Y.Z.), Capital Medical University, China.
                [5 ]Department of Neurology, Beijing Tiantan Hospital (G.C., A.W.), Capital Medical University, China.
                [6 ]National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital (G.C.), Capital Medical University, China.
                Article
                10.1161/CIRCHEARTFAILURE.123.010841
                38348678
                b71690b3-f122-4e42-8033-5cbf33518080
                © 2024
                History

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