Risk of obesity in patients with Heart Failure
DOI:
https://doi.org/10.19230/jonnpr.3258Keywords:
Obesity, Heart failure, Clinical Management, Primary CareAbstract
Objective. To analyze the relationship of the Body Mass Index (BMI) with heart failure in a health area.
Method. Observational descriptive study of the 161 patients who had been diagnosed in the Health Area between January 2014 and December 2016. Among other demographic, clinical and analytical data, the BMI was analyzed based on weight and height at the first visit to the unit, using the formula: weight (in kilograms) / square of height (in meters). Once obtained, the relationship between BMI and 2-year survival was evaluated. Four subgroups of patients were analyzed, based on their BMI, based on the criteria defined by the World Health Organization (WHO) in 1999 (Technical Report Series, No. 854, Geneva: 1999): low weight (BMI < 20.5), normal weight (BMI of 20.5 to <25.5), overweight (BMI of 25.5 to <30) and obesity (BMI ? 30). Statistical analysis was carried out using the statistical package SPSS® 24.0 for Windows. The association between BMI as a continuous variable and 2-year mortality.
Results. Of the participants, 81 were obese (50.8%), being 33 men and 48 women. The average age of the obese is 80.32 +/- 9.23 years. The main causes of heart failure in 62.2% had diagnosed some type of heart disease, being: 29.2% Ischemic heart disease, 46.6% cardiac arrhythmias and 20.5% valvulopathies. BMI as a continuous variable was significantly associated with mortality (p <0.001), age (0.002), ischemic disease (0.001), gender (0.004), hypertension (0.002), diabetes (0.003) and dyslipidemia (0.004). ). The relation of BMI with the use of Digoxin, Asa Diuretics and Spironolactone treatments has also been seen with higher BMI plus utilization. BMI is also associated with the number of admissions, greater number of concomitant chronic diseases and mortality. The scores obtained in the MLWHFQ quality of life questionnaire at the initial visit; the patients with low weight were those who obtained the highest score, which corresponds to a worse quality of life. There were no significant differences between the scores obtained by patients of normal weight, overweight and obese, although these showed a tendency to obtain a higher score.
Conclusions. BMI has been shown to be associated with mortality, ischemic disease, sex, hypertension, diabetes and dyslipidemia in patients with heart failure.
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References
Rubio MA, Salas J, Barbany M, Moreno B, Aranceta J, Bellido D, et al. Consenso SEEDO 2007 para la evaluación del sobrepeso y la obesidad y el establecimiento de criterios de intervención terapéutica. Rev Esp Obes. 2007; 5: 135-71.
Gustafsson F, Kragelund CB, Torp-Pedersen C, Seibaek M, Burchardt H, Akkan D, et al; DIAMOND study group. et al;and DIAMOND Study Group. Effect of obesity and
being overweight on long-term mortality in congestive heart failure: influence of left
ventricular systolic function. Eur Heart J. 2005; 26:58-64.
Javier Aranceta-Bartrinaa, Lluís Serra-Majemb, Màrius Foz-Salac, Basilio Moreno-Esteband, y Grupo Colaborativo SEEDO*. Prevalencia de obesidad en España. Med Clin (Barc). 2005;125(12):460-6.
Mehra MR, Uber PA, Park MH, Scott RL, Ventura HO, Harris BC, et al. Obesity and suppressed B-type natriuretic peptide levels in heart failure. J Am Coll Cardiol. 2004; 43:1590-5.
Horwich TB, Fonarow GC, Hamilton MA, MacLellan WR, Woo MA, Tillisch JH. The relationship between obesity and mortality in patients with heart failure. J Am Coll Cardiol. 2001;38:789-95.
Lissin LW, Gauri AJ, Froelicher VF, Ghayoumi A, Myers J, Giacommini J. The prognostic value of body mass index and standard exercise testing in male veterans with congestive heart failure. J Card Fail. 2002;8:206-15.
Davos CH, Doehner W, Rauchhaus M, Cicoira M, Francis DP, Coats AJ, et al. Body mass and survival in patients with chronic heart failure without cachexia: the importance of obesity. J Card Fail. 2003;9:29-35.
Lavie CJ, Osman AF, Milani RV, Mehra MR. Body composition and prognosis in chronic systolic heart failure: the obesity paradox. Am J Cardiol. 2003;91:891-4.
Curtis JP, Selter JG, Wang Y, Rathore SS, Jovin IS, Jadbabaie F, et al. The obesity paradox: body mass index and outcomes in patients with heart failure. Arch Intern Med. 2005;165:55-61.
Lavie CJ, Mehra MR, Milani RV. Obesity and heart failure prognosis: paradox or reverse epidemiology? Eur Heart J. 2005;26:5-7.
Powell BD, Redfield MM, Bybee KA, Freeman WK, Rihal CS. Association of obesity with left ventricular remodeling and diastolic dysfunction in patients without coronary artery disease. Am J Cardiol. 2006; 98:116-20.
Dagenais GR, Yi Q, Mann JF, Bosch J, Pogue J, Yusuf S. Prognostic impact of body weight and abdominal obesity in women and men with cardiovascular disease. Am Heart J. 2005; 149:54-60.
Evangelista LS, Miller PS. Overweight and obesity in the context of heart failure: implications for practice and future research. J Cardiovasc Nurs. 2006; 21:27-33.
Conard MW, Haddock CK, Poston WS, Havranek E, McCullough P, Spertus J. Impact of obesity on the health status of heart failure patients. J Card Fail. 2006; 12:700-6.
Rector TS, Kubo SH, Conn JN. Patients self assessment of their congestive heart failure: II. Content, reliability and validity of a new measure-the Minnesota Living with Heart Failure questionnaire. Heart Failure. 1987;3:198- 209.
Cox DR. Regression models and life-tables. J R Stat Soc [B] 1972;34:187-220
Kenchaiah S1, Evans JC, Levy D, Wilson PW, Benjamin EJ, Larson MG, Kannel WB, Vasan RS. Obesity and the risk of heart failure. N Engl J Med. 2002 Aug 1;347(5):305-13.
Vasan RS, Larson MG, Benjamin EJ, Evans JC, Levy D. Left ventricular dilatation and the risk of congestive heart failure in people without myocardial infarction. N Engl J Med 1997; 336:1350-1355
Gardin JM, McClelland R, Kitzman D, et al. M-mode echocardiographic predictors of six- to seven-year incidence of coronary heart disease, stroke, congestive heart failure, and mortality in an elderly cohort (the Cardiovascular Health Study). Am J Cardiol 2001; 87:1051-1057
Alpert MA. Obesity cardiomyopathy: pathophysiology and evolution of the clinical syndrome. Am J Med Sci 2001; 321:225-236
Chen YT, Vaccarino V, Williams CS, Butler J, Berkman LF, Krumholz HM. Risk factors for heart failure in the elderly: a prospective community-based study. Am J Med 1999; 106:605-612
He J, Ogden LG, Bazzano LA, Vupputuri S, Loria C, Whelton PK. Risk factors for congestive heart failure in US men and women: NHANES I epidemiologic follow-up study. Arch Intern Med 2001; 161:996-1002
Wilhelmsen L, Rosengren A, Eriksson H, Lappas G. Heart failure in the general population of men -- morbidity, risk factors, and prognosis. J Intern Med 2001;249:253-261
Dawber TR, Meadors GF, Moore FE Jr. Epidemiological approaches to heart disease: the Framingham Study. Am J Public Health 1951;41:279-286
Kannel WB, Feinleib M, McNamara PM, Garrison RJ, Castelli WP. An investigation of coronary heart disease in families: the Framingham Offspring Study. Am J Epidemiol 1979;110:281-290
Obesity: preventing and managing the global epidemic: report of a WHO consultation. World Health Organ Tech Rep Ser 2000;894:1-253
Clinical guidelines on the identification, evaluation, and treatment of overweight and obesity in adults. Bethesda, Md.: National Heart, Lung, and Blood Institute, 1998. (NIH publication no. 98-4083.)
Kannel WB, Wolf PA, Garrison RJ, eds. The Framingham Study: an epidemiological investigation of cardiovascular disease. Section 34. Some risk factors related to the annual incidence of cardiovascular disease and death using pooled repeated biennial measurements: Framingham Heart Study, 30-year follow-up. Bethesda, Md.: National Heart, Lung, and Blood Institute, 1987. (NIH publication no. 87-2703.)
McKee PA, Castelli WP, McNamara PM, Kannel WB. The natural history of congestive heart failure: the Framingham Study. N Engl J Med 1971;285:1441-1446
Rockhill B, Newman B, Weinberg C. Use and misuse of population attributable fractions. Am J Public Health 1998;88:15-19
Vasan RS, Levy D. Defining diastolic heart failure: a call for standardized diagnostic criteria. Circulation 2000;101:2118-2121
Nagarajan V, Tang WH. Management of comorbid conditions in heart failure: a review. Med Clin North Am. 2012;96:975-85
Mosterd A, Cost B, Hoes AW, et al. The prognosis of heart failure in the general population: the Rotterdam Study. Eur Heart J 2001;22:1318-1327
Stamler J. Epidemiologic findings on body mass and blood pressure in adults. Ann Epidemiol 1991;1:347-362
Chan JM, Rimm EB, Colditz GA, Stampfer MJ, Willett WC. Obesity, fat distribution, and weight gain as risk factors for clinical diabetes in men. Diabetes Care 1994;17:961-969
Colditz GA, Willett WC, Rotnitzky A, Manson JE. Weight gain as a risk factor for clinical diabetes mellitus in women. Ann Intern Med 1995;122:481-486
Kannel WB, McGee DL. Diabetes and glucose tolerance as risk factors for cardiovascular disease: the Framingham Study. Diabetes Care 1979;2:120-126
Manson JE, Colditz GA, Stampfer MJ, et al. A prospective study of obesity and risk of coronary heart disease in women. N Engl J Med 1990;322:882-889
Kannel WB, D'Agostino RB, Silbershatz H, Belanger AJ, Wilson PW, Levy D. Profile for estimating risk of heart failure. Arch Intern Med 1999;159:1197-1204
Levy D, Larson MG, Vasan RS, Kannel WB, Ho KK. The progression from hypertension to congestive heart failure. JAMA 1996;275:1557-1562
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