Body mass index and death by stroke: no obesity paradox.

IMPORTANCE Reports of an obesity paradox have led to uncertainty about secondary prevention in obese patients with stroke. The paradox is disputed and has been claimed to be an artifact due to selection bias. OBJECTIVE To determine whether the obesity paradox in stroke is real or an artificial finding due to selection bias. DESIGN, SETTING, AND PARTICIPANTS We studied survival after stroke in relation to body mass index (BMI, calculated as weight in kilograms divided by height in meters squared). To overcome selection bias, we studied only deaths caused by the index stroke on the assumption that death by stroke reported on a death certificate was due to the index stroke if death occurred within the first month poststroke. We used the Danish Stroke Register, containing information on all hospital admissions for stroke in Denmark from 2003 to 2012, and the Danish Registry of Causes of Death. The study included all registered Danes (n = 71 617) for whom information was available on BMI (n = 53 812), age, sex, civil status, stroke severity, stroke subtype, a predefined cardiovascular profile, and socioeconomic status. MAIN OUTCOMES AND MEASURES The independent relation between BMI and death by the index stroke within the first week or month by calculating hazard ratios in multivariate Cox regression analysis and multiple imputation for cases for whom information on BMI was missing. RESULTS Of the 71 617 patients, 7878 (11%) had died within the first month; of these, stroke was the cause of death of 5512 (70%). Of the patients for whom information on BMI was available, 9.7% were underweight, 39.0% were of normal weight, 34.5% were overweight, and 16.8% were obese. Body mass index was inversely related to mean age at stroke onset (P < .001). There was no difference in the risk for death by stroke in the first month among patients who were normal weight (reference), overweight (hazard ratio, 0.96; 95% CI, 0.88-1.04), and obese (hazard ratio, 1.0; 95% CI, 0.88-1.13). Analysis of deaths within 1 week gave similar results. CONCLUSIONS AND RELEVANCE We found no evidence of an obesity paradox in patients with stroke. Stroke occurred at a significantly younger age in patients with higher BMI. Hence, obese patients with stroke should continue to aim for normal weight.

[1]  U. Dirnagl,et al.  Body Weight After Stroke: Lessons From the Obesity Paradox , 2011, Stroke.

[2]  Lippincott Williams Wilkins,et al.  Stroke--1989. Recommendations on stroke prevention, diagnosis, and therapy. Report of the WHO Task Force on Stroke and other Cerebrovascular Disorders. , 1989, Stroke.

[3]  G. Boysen,et al.  Reliability of Scandinavian Neurological Stroke Scale , 1991 .

[4]  S. Haehling,et al.  The Obesity Paradox in Heart Failure: Accepting Reality and Making Rational Decisions , 2011, Clinical pharmacology and therapeutics.

[5]  T. Olsen,et al.  Body Mass Index and Poststroke Mortality , 2008, Neuroepidemiology.

[6]  Jan Mainz,et al.  Nationwide continuous quality improvement using clinical indicators: the Danish National Indicator Project. , 2004, International journal for quality in health care : journal of the International Society for Quality in Health Care.

[7]  Efstathios Manios,et al.  Association Between Obesity and Mortality After Acute First-Ever Stroke: The Obesity–Stroke Paradox , 2011, Stroke.

[8]  T. Olsen,et al.  Sex-Related Time-Dependent Variations in Post-Stroke Survival – Evidence of a Female Stroke Survival Advantage , 2007, Neuroepidemiology.

[9]  H. Florez,et al.  Beyond the obesity paradox in diabetes: fitness, fatness, and mortality. , 2012, JAMA.

[10]  J. Roh,et al.  Dynamics of obesity paradox after stroke, related to time from onset, age, and causes of death , 2012, Neurology.

[11]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[12]  Jay S Kaufman,et al.  The "obesity paradox" explained. , 2013, Epidemiology.

[13]  S. Anker,et al.  Overweight and obesity are associated with improved survival, functional outcome, and stroke recurrence after acute stroke or transient ischaemic attack: observations from the TEMPiS trial. , 2013, European heart journal.

[14]  S. Dalton,et al.  Social inequality and incidence of and survival from cancer in a population-based study in Denmark, 1994-2003: Background, aims, material and methods. , 2008, European journal of cancer.

[15]  M. Hernán,et al.  Body Mass Index, Diabetes, and Mortality in French Women: Explaining Away a “Paradox” , 2014, Epidemiology.

[16]  J. Kato Obesity paradox in peripheral vascular disease. , 2013, Atherosclerosis.

[17]  C. Anderson,et al.  Five-Year Survival After First-Ever Stroke and Related Prognostic Factors in the Perth Community Stroke Study , 2000, Stroke.

[18]  D. Moorman,et al.  The Obesity Paradox: Body Mass Index and Outcomes in Patients Undergoing Nonbariatric General Surgery , 2009, Annals of surgery.

[19]  C. Stehouwer,et al.  Obesity paradox or inappropriate study designs? Time for life-course epidemiology. , 2012, Journal of hypertension.

[20]  V. Chair,et al.  Guidelines for prevention of stroke in patients with ischemic stroke or transient ischemic attack: a statement for healthcare professionals from the American Heart Association/American Stroke Association Council on Stroke: co-sponsored by the Council on Cardiovascular Radiology and Intervention: the , 2006, Circulation.

[21]  Sunil J Rao,et al.  Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis , 2003 .

[22]  M. Kubo,et al.  Ten-Year Prognosis of Stroke and Risk Factors for Death in a Japanese Community: The Hisayama Study , 2003, Stroke.

[23]  W. Feuerhake,et al.  Incidence, 30-day case-fatality rate, and prognosis of stroke in Iquique, Chile: a 2-year community-based prospective study (PISCIS project) , 2005, The Lancet.

[24]  T. Olsen,et al.  Predictors of Early and Late Case-Fatality in a Nationwide Danish Study of 26 818 Patients With First-Ever Ischemic Stroke , 2011, Stroke.

[25]  S. Lewis Poor Nutritional Status on Admission Predicts Poor Outcomes After Stroke: Observational Data From the FOOD Trial , 2003 .

[26]  Paul Poirier,et al.  Obesity and Cardiovascular Disease: Pathophysiology, Evaluation, and Effect of Weight Loss: An Update of the 1997 American Heart Association Scientific Statement on Obesity and Heart Disease From the Obesity Committee of the Council on Nutrition, Physical Activity, and Metabolism , 2006, Circulation.

[27]  S. Gariballa Poor nutritional status on admission predicts poor outcomes after stroke: observational data from the FOOD trial. , 2003, Stroke.

[28]  K. Furie,et al.  Obesity: A Stubbornly Obvious Target for Stroke Prevention , 2013, Stroke.