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Circulation | 2009

Heart Disease and Stroke Statistics—2009 Update A Report From the American Heart Association Statistics Committee and Stroke Statistics Subcommittee

Donald M. Lloyd-Jones; Robert Adams; Mercedes R. Carnethon; Giovanni de Simone; T. Bruce Ferguson; Katherine Flegal; Earl S. Ford; Karen L. Furie; Alan S. Go; Kurt J. Greenlund; Nancy Haase; Susan M. Hailpern; Michael Ho; Virginia J. Howard; Brett Kissela; Steven J. Kittner; Daniel T. Lackland; Lynda D. Lisabeth; Ariane J. Marelli; Mary M. McDermott; James B. Meigs; Dariush Mozaffarian; Graham Nichol; Christopher J. O'Donnell; Véronique L. Roger; Wayne Rosamond; Ralph L. Sacco; Paul D. Sorlie; Randall S. Stafford; Julia Steinberger

We thank Drs Robert Adams, Gary Friday, Philip Gorelick, and Sylvia Wasserthiel-Smoller, members of Stroke Statistics Subcommittee; Drs Joe Broderick, Brian Eigel, Kimberlee Gauveau, Jane Khoury, Jerry Potts, Jane Newburger, and Kathryn Taubert; and Sean Coady and Michael Wolz for their valuable comments and contributions. We acknowledge Tim Anderson and Tom Schneider for their editorial contributions and Karen Modesitt for her administrative assistance. View this table: Writing Group Disclosures # Summary {#article-title-2} Each year the American Heart Association, in conjunction with the Centers for Disease Control and Prevention, the National Institutes of Health, and other government agencies, brings together the most up-to-date statistics on heart disease, stroke, and their risk factors and presents them in its Heart Disease and Stroke Statistical Update. The Statistical Update is a valuable resource for researchers, clinicians, healthcare policy makers, media, the lay public, and many others who seek the …


Circulation | 2010

Heart Disease and Stroke Statistics—2010 Update A Report From the American Heart Association

Donald M. Lloyd-Jones; Robert J. Adams; Todd M. Brown; Mercedes R. Carnethon; Shifan Dai; Giovanni de Simone; T. Bruce Ferguson; Earl S. Ford; Karen L. Furie; Cathleen Gillespie; Alan S. Go; Kurt J. Greenlund; Nancy Haase; Susan M. Hailpern; P. Michael Ho; Virginia J. Howard; Brett Kissela; Steven J. Kittner; Daniel T. Lackland; Lynda D. Lisabeth; Ariane J. Marelli; Mary M. McDermott; James B. Meigs; Dariush Mozaffarian; Michael E. Mussolino; Graham Nichol; Véronique L. Roger; Wayne D. Rosamond; Ralph L. Sacco; Paul D. Sorlie

Appendix I: List of Statistical Fact Sheets. URL: http://www.americanheart.org/presenter.jhtml?identifier=2007 We wish to thank Drs Brian Eigel and Michael Wolz for their valuable comments and contributions. We would like to acknowledge Tim Anderson and Tom Schneider for their editorial contributions and Karen Modesitt for her administrative assistance. Disclosures View this table: View this table: View this table: # Summary {#article-title-2} Each year, the American Heart Association, in conjunction with the Centers for Disease Control and Prevention, the National Institutes of Health, and other government agencies, brings together the most up-to-date statistics on heart disease, stroke, other vascular diseases, and their risk factors and presents them in its Heart Disease and Stroke Statistical Update. The Statistical Update is a valuable resource for researchers, clinicians, healthcare policy makers, media professionals, the lay public, and many others who seek the best national data available on disease …


Circulation | 2011

Heart Disease and Stroke Statistics—2011 Update A Report From the American Heart Association

Véronique L. Roger; Alan S. Go; Donald M. Lloyd-Jones; Robert J. Adams; Jarett D. Berry; Todd M. Brown; Mercedes R. Carnethon; Shifan Dai; Giovanni de Simone; Earl S. Ford; Caroline S. Fox; Heather J. Fullerton; Cathleen Gillespie; Kurt J. Greenlund; Susan M. Hailpern; John A. Heit; P. Michael Ho; Virginia J. Howard; Brett Kissela; Steven J. Kittner; Daniel T. Lackland; Judith H. Lichtman; Lynda D. Lisabeth; Diane M. Makuc; Gregory M. Marcus; Ariane J. Marelli; David B. Matchar; Mary M. McDermott; James B. Meigs; Claudia S. Moy

Rosamond, Paul D. Sorlie, Randall S. Stafford, Tanya N. Turan, Melanie B. Turner, Nathan D. Dariush Mozaffarian, Michael E. Mussolino, Graham Nichol, Nina P. Paynter, Wayne D. Ariane Marelli, David B. Matchar, Mary M. McDermott, James B. Meigs, Claudia S. Moy, Lackland, Judith H. Lichtman, Lynda D. Lisabeth, Diane M. Makuc, Gregory M. Marcus, John A. Heit, P. Michael Ho, Virginia J. Howard, Brett M. Kissela, Steven J. Kittner, Daniel T. Caroline S. Fox, Heather J. Fullerton, Cathleen Gillespie, Kurt J. Greenlund, Susan M. Hailpern, Todd M. Brown, Mercedes R. Carnethon, Shifan Dai, Giovanni de Simone, Earl S. Ford, Véronique L. Roger, Alan S. Go, Donald M. Lloyd-Jones, Robert J. Adams, Jarett D. Berry, Association 2011 Update : A Report From the American Heart −− Heart Disease and Stroke Statistics


Circulation | 2010

Heart Disease and Stroke Statistics—2010 Update

Donald M. Lloyd-Jones; Robert J. Adams; Todd M. Brown; Mercedes R. Carnethon; Shifan Dai; Giovanni de Simone; T. Bruce Ferguson; Earl S. Ford; Karen L. Furie; Cathleen Gillespie; Alan S. Go; Kurt J. Greenlund; Nancy Haase; Susan M. Hailpern; P. Michael Ho; Virginia J. Howard; Brett Kissela; Steven J. Kittner; Daniel T. Lackland; Lynda D. Lisabeth; Ariane J. Marelli; Mary M. McDermott; James B. Meigs; Dariush Mozaffarian; Michael E. Mussolino; Graham Nichol; Véronique L. Roger; Wayne D. Rosamond; Ralph L. Sacco; Paul D. Sorlie

Appendix I: List of Statistical Fact Sheets. URL: http://www.americanheart.org/presenter.jhtml?identifier=2007 We wish to thank Drs Brian Eigel and Michael Wolz for their valuable comments and contributions. We would like to acknowledge Tim Anderson and Tom Schneider for their editorial contributions and Karen Modesitt for her administrative assistance. Disclosures View this table: View this table: View this table: # Summary {#article-title-2} Each year, the American Heart Association, in conjunction with the Centers for Disease Control and Prevention, the National Institutes of Health, and other government agencies, brings together the most up-to-date statistics on heart disease, stroke, other vascular diseases, and their risk factors and presents them in its Heart Disease and Stroke Statistical Update. The Statistical Update is a valuable resource for researchers, clinicians, healthcare policy makers, media professionals, the lay public, and many others who seek the best national data available on disease …


Circulation | 2009

Heart Disease and Stroke Statistics—2009 Update

Donald M. Lloyd-Jones; Robert J. Adams; Mercedes R. Carnethon; Giovanni de Simone; T. Bruce Ferguson; Katherine Flegal; Earl S. Ford; Karen L. Furie; Alan S. Go; Kurt J. Greenlund; Nancy Haase; Susan M. Hailpern; Michael Ho; Virginia J. Howard; Brett Kissela; Steven J. Kittner; Daniel T. Lackland; Lynda D. Lisabeth; Ariane J. Marelli; Mary M. McDermott; James B. Meigs; Dariush Mozaffarian; Graham Nichol; Christopher J. O'Donnell; Véronique L. Roger; Wayne D. Rosamond; Ralph L. Sacco; Paul D. Sorlie; Randall S. Stafford; Julia Steinberger

We thank Drs Sean Coady, Eric L. Ding, Brian Eigel, Gregg C. Fonarow, Linda Geiss, Cherie James, Michael Mussolino, and Michael Wolz for their valuable comments and contributions. We acknowledge Tim Anderson and Tom Schneider for their editorial contributions, and Karen Modesitt for her administrative assistance. Disclosures ⇓⇓⇓⇓ View this table: Writing Group Disclosures View this table: Writing Group Disclosures, Continued View this table: Writing Group Disclosures, Continued View this table: Writing Group Disclosures, Continued # Summary {#article-title-2} Each year, the American Heart Association, in conjunction with the Centers for Disease Control and Prevention, the National Institutes of Health, and other government agencies, brings together the most up-to-date statistics on heart disease, stroke, other vascular diseases, and their risk factors and presents them in its Heart Disease and Stroke Statistical Update. The Statistical Update is a valuable resource for researchers, clinicians, healthcare policy makers, media professionals, the lay …


Journal of the American College of Cardiology | 1992

Left ventricular mass and body size in normotensive children and adults: Assessment of allometric relations and impact of overweight☆

Giovanni de Simone; Stephen R. Daniels; Richard B. Devereux; Richard A. Meyer; Mary J. Roman; Oreste de Divitiis; Michael H. Alderman

OBJECTIVES This study was designed to determine the most appropriate method to normalize left ventricular mass for body size. BACKGROUND Left ventricular mass has been normalized for body weight, surface area or height in experimental and clinical studies, but it is uncertain which of these approaches is most appropriate. METHODS Three normotensive population samples--in New York City (127 adults), Naples, Italy (114 adults) and Cincinnati, Ohio (444 infants to young adults)--were studied by echocardiography. Relations of left ventricular mass to body size were similar in all normal weight groups, as assessed by linear and nonlinear regression analysis, and results were pooled (n = 611). RESULTS Left ventricular mass was related to body weight to the first power (r = 0.88), to body surface area to the 1.5 power (r = 0.88) and to height to the 2.7 power (r = 0.84), consistent with expected allometric (growth) relations between variables with linear (height), second-power (body surface area) and volumetric (left ventricular mass and body weight) dimensions. Strong residual relations of left ventricular mass/body surface area to body surface area (r = 0.54) and of ventricular mass/height to height (r = 0.72) were markedly reduced by normalization of ventricular mass for height2.7 and body surface area1.5. The variability among subjects of ventricular mass was also reduced (p < 0.01 to p < 0.002) by normalization for body weight, body surface area, body surface area1.5 or height2.7 but not for height. In 20% of adults who were overweight, ventricular mass was 14% higher (p < 0.001) than ideal mass predicted from observed height and ideal weight; this increase was identified as 14% by left ventricular mass/height2.7 and 9% by ventricular mass/height, whereas indexation for body surface area, body surface area1.5 and body weight erroneously identified left ventricular mass as reduced in overweight adults. CONCLUSIONS Normalizations of left ventricular mass for height or body surface area introduce artifactual relations of indexed ventricular mass to body size and errors in estimating the impact of overweight. These problems are avoided and variability among normal subjects is reduced by using left ventricular mass/height2.7. Simple nomograms of the normal relation between height and left ventricular mass allow detection of ventricular hypertrophy in children and adults.


Journal of the American College of Cardiology | 1995

Effect of Growth on Variability of Left Ventricular Mass: Assessment of Allometric Signals in Adults and Children and Their Capacity to Predict Cardiovascular Risk

Giovanni de Simone; Richard B. Devereux; Stephen R. Daniels; Michael J. Koren; Richard A. Meyer; John H. Laragh

OBJECTIVES We sought to determine whether growth influences the relation between left ventricular mass and body size and whether use of different body size indexes affects the ability of ventricular mass to predict complications of hypertension. BACKGROUND Allometric (or growth) signals between left ventricular mass and height have recently been reported to improve previous approaches for normalization of ventricular mass for body size. METHODS Residuals of left ventricular mass-height2.7 relations were analyzed in a learning series of 611 normotensive, normal-weight subjects 4 months to 70 years old and, separately, in 383 children (< 17 years old) and 228 adults. Ten-year cardiovascular morbidity in a test series of 253 hypertensive adults was compared with groups with normal or high baseline left ventricular mass normalized for body weight, height, body surface area and allometric powers of height. RESULTS The dispersion of residuals of ventricular mass versus height2.7 increased with increasing height or age in children but not in adults, suggesting that the effect of other variables on ventricular growth increases during body growth and stabilizes in adulthood. Therefore, we derived separate allometric signals for adults (predicted ventricular mass = 45.4 x height2.13, r = 0.48) and children (32.3 x height2.3, r = 0.85) (both p < 0.0001). Patients with left ventricular hypertrophy had 3.3 times higher cardiac risk with elevated left ventricular mass/height2.7 (p < 0.001), 2.6 to 2.7 times higher risk with left ventricular mass indexed for height, height2.13 and body surface area (all p < 0.01) and 1.7 times the risk with ventricular mass/weight (p > 0.1). CONCLUSIONS These results show the following: 1) Variability of left ventricular mass in relation to height increases during human growth; 2) allometric signals of left ventricular mass versus height are lower in adults and children than those obtained across the entire age spectrum; 3) height-based indexes of left ventricular mass at least maintain and may enhance prediction of cardiac risk by hypertensive left ventricular hypertrophy; and 4) the allometric signal derived across the entire spectrum of age appears to be more useful for prediction of cardiovascular risk than that computed in adults.


Journal of the American College of Cardiology | 1994

Assessment of left ventricular function by the midwall fractional shortening/end-systolic stress relation in human hypertension☆

Giovanni de Simone; Richard B. Devereux; Mary J. Roman; Antonello Ganau; Pier Sergio Saba; Michael H. Alderman; John H. Laragh

OBJECTIVES This study examined left ventricular performance in relatively unselected hypertensive patients by use of physiologically appropriate midwall shortening/end-systolic stress relations. BACKGROUND Supranormal left ventricular function has been reported in hypertensive patients, possibly due to an artifact of mismatching endocardial rather than midwall fractional shortening to mean left ventricular end-systolic stress. METHODS Samples of 474 hypertensive patients (150 women, 324 men) and 140 normal subjects (68 women, 72 men) were drawn from a large urban employed population. The inverse relations (p < 0.0001) of both echocardiographic endocardial and midwall fractional shortening to end-systolic stress in normal subjects were used to calculate the ratios of observed to predicted endocardial and midwall fractional shortening in hypertensive patients. Midwall shortening was calculated from an elliptic model, taking into account the epicardial migration of the midwall during systole. RESULTS Use of midwall fractional shortening in hypertensive patients reduced the proportion of patients with function above the 95th percentile of normal from 22% to 4% (p < 0.0001) and fractional shortening as a percent of predicted from 107% (p < 0.001 vs. 100% in normotensive control subjects) to 95% (p < 0.0001; p < 0.001 vs. 101% in normotensive control subjects). Midwall shortening was below the 5th percentile of normal in 16% of hypertensive patients instead of 2% with endocardial shortening (p < 0.0001): They tended to be older than other hypertensive patients and had concentric left ventricular hypertrophy. Among hypertensive patients, those with concentric left ventricular hypertrophy or remodeling had reduced midwall shortening as a percent of predicted from end-systolic stress (p < 0.0001). CONCLUSIONS Use of the physiologically more appropriate midwall shortening/end-systolic stress relation 1) markedly reduces the proportion of hypertensive subjects identified as having high endocardial left ventricular function; and 2) identifies a substantial subgroup of patients with reduced left ventricular function who have concentric geometry of the left ventricle, a pattern associated with high cardiovascular risk.


Circulation | 1996

Midwall left ventricular mechanics : an independent predictor of cardiovascular risk in arterial hypertension

Giovanni de Simone; Richard B. Devereux; Michael J. Koren; George A. Mensah; Paul N. Casale; John H. Laragh

BACKGROUND An appreciable proportion of asymptomatic hypertensive patients have depressed left ventricular (LV) performance that is identified by midwall shortening/endsystolic stress relations but not by indexes that use endocardial shortening. It has not been established, however, whether depressed midwall ventricular performance has prognostic implications. METHODS AND RESULTS Echocardiographic endocardial and midwall LV fractional shortening/circumferential end-systolic stress relations in 294 hypertensive patients were analyzed as predictors of the occurrence of cardiovascular morbid events that occurred in 50 patients (including 14 deaths) during a 10-year mean follow-up. Patients with initially lower midwall but not endocardial shortening, either in absolute terms or as a percentage of predicted from observed end-systolic stress, were more likely to suffer morbid events than those with initially normal values (P < .004). Cardiovascular events occurred in 29 of 100 patients (29%) and death in 10 of 100 patients (10%) among those who were in both the two highest quartiles of LV mass index and the two lowest quartiles of midwall shortening, as opposed to 21 of 194 (11%) and 4 of 194 (2.1%) of the remaining patients (odds ratio, 3.4; 95% CI, 1.8 to 6.3; P < .0001; and odds ratio, 5.3; 95% CI, 1.6 to 17.3; P < .006, respectively). In logistic analysis, increasing age, high LV mass, high systolic blood pressure, and low values for an interaction term between LV mass index and midwall shortening independently predicted cardiovascular events (.04 < P < .001); increasing age, low midwall LV shortening as a percentage of predicted, and high value of the interaction term predicted the occurrence of cardiac death (.004 < P < .0002). Survival analysis controlling for age confirmed that low midwall shortening independently predicted cardiac morbidity or death, especially in the subgroup of patients with LV hypertrophy. CONCLUSIONS Depressed midwall shortening is a predictor of adverse outcome in arterial hypertension; the combination of higher LV mass and lower midwall shortening identifies individuals at markedly increased risk.


Journal of the American College of Cardiology | 1999

Reliability of Echocardiographic Assessment of Left Ventricular Structure and Function The PRESERVE Study

Vittorio Palmieri; Björn Dahlöf; Vincent DeQuattro; Norman Sharpe; Jonathan N. Bella; Giovanni de Simone; Mary Paranicas; Dawn Fishman; Richard B. Devereux

OBJECTIVES The study was done to evaluate reliability of echocardiographic left ventricular (LV) mass. BACKGROUND Echocardiographic estimation of LV mass is affected by several sources of variability. METHODS We assessed intrapatient reliability of LV mass measurements in 183 hypertensive patients (68% men, 65 +/- 9 years) enrolled in the Prospective Randomized Enalapril Study Evaluating Regression of Ventricular Enlargement (PRESERVE) trial after a screening echocardiogram (ECHO) showed LV hypertrophy. A second ECHO was repeated at randomization (45 +/- 25 days later). Two-dimensional (2D)-guided M-mode or 2D linear measurements of LV cavity and wall dimensions were verified by one experienced reader. RESULTS Mean LV mass was similar at first and second ECHO (243 +/- 53 vs. 241 +/- 54 g) and showed high reliability as estimated by intraclass correlation coefficient (RHO) = 0.93. Within-patient 5th, 10th, 90th and 95th percentiles of between-study difference in LV mass were -32 g, -28 g, +25 g and +35 g. Mean LV mass fell less from the first to the second ECHO than expected from a formula to predict regression to the mean (2 +/- 19 vs. 17 +/- 12 g, p < 0.001). Reliability was also high for LV internal diameter (RHO = 0.87), septal (RHO = 0.85) and posterior wall thickness (RHO = 0.83). Substantial or moderate reliability was observed for measures of LV systolic function and diastolic filling (RHO from 0.71 to 0.57). CONCLUSIONS Left ventricular mass had high reliability and little regression to the mean; between-study LV mass change of +/-35 g or +/-17 g had > or = 95% or > or = 80% likelihood of being true change.

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Richard B. Devereux

NewYork–Presbyterian Hospital

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Marcello Chinali

University of Naples Federico II

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Raffaele Izzo

University of Naples Federico II

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Bruno Trimarco

University of Naples Federico II

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Nicola De Luca

University of Naples Federico II

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Lyle G. Best

Turtle Mountain Community College

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