Vol.4 No.12A(2012), Article ID:26078,8 pages DOI:10.4236/health.2012.412A205
The influence of obesity duration on left ventricular mass, volume and function: A pilot study
1Centro Médico Teknon, Barcelona, Spain
2Center for Health Disparities, Baldwin Wallace University, Berea, USA; *Corresponding Author: firstname.lastname@example.org
3CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Barcelona, Spain
Received 4 November 2012; revised 9 December 2012; accepted 21 December 2012
Keywords: Duration of Obesity; Echocardiography; Co-Morbidities
Introduction: Despite the bulk of evidence between obesity and cardiovascular complications, the effect of the duration of obesity (DOO) on cardiac function has so far received limited attention. The aim of the study is to study the relationship between a new, American Heart Association (AHA) and World Health Organization (WHO)-adapted formula for reporting DOO with echocardiographic findings and co-morbidities in a large cohort of individuals whose BMI ranged from normal (wang#Bracket##25 Kg∙m−2) to morbid obesity (>40 Kg∙m−2) and had been obese for varying lengths of time. Methods: 198 (M60/F138) asymptomatic patients were recruited. Patients were classified according to their reported DOO. The normal weight group (N = 92 (40/F52) was formed by those patients who did not recall maintaining a BMI > 30 Kg∙m−2 from age 18 while those recalling maintenance of a BMI > 30 Kg∙m−2 since age 18 and thereafter formed the obese group (N = 106 (M20/F86)). A detailed clinical, echo-cardiographic and analytical study was performed. Results: DOO in our series disclosed a significant correlation with left ventricular architecture and hemodynamics, left ventricular mass, cardiac output as well as the prevalence of diabetes mellitus, hypertension and insulin resistance. Stepwise multiple regression analysis revealed that almost 54% of the inter-ventricular septum thickness’s variance can be independently predicted by a model including DOO, gender, hypertension and logtransformed HOMA. Conclusions: Our formula for estimating the duration of obesity provides a simple, user-friendly tool whose utilization in bariatric preoperative assessments and in advanced nursing practice deserves prospective studies.
Obesity is a worldwide epidemic; 66% of United States adults are overweight or obese , and a prevalence of obesity up to 31% has been reported in Europe . If current trends continue, the number of obese individuals is expected to rise to over 1 billion worldwide by 2030 .
Obesity is associated with an increased risk of morbidity and mortality and is associated with reduced life expectancy [4,5]. There is a considerable body of data confirming obesity as a risk factor for severe cardiovascular complications, such as coronary heart disease, heart failure, stroke and venous thromboembolic disease [6-10]. Despite the bulk of evidence between obesity and cardiovascular complications [6-10], the permanent effects of obesity on cardiac function have so far received limited attention. Indeed, one publication reports longer duration of morbid obesity (estimated by subtracting the current age from the age at which the individual’s body weight equalled or exceeded twice their ideal body weight, the latter being derived from 1993 Metropolitan Life Insurance Tables) being associated with higher left ventricular (LV) mass, poorer LV systolic function, and greater impairment of LV diastolic filling .
Historically, the Metropolitan Life Insurance Company data that express body fat as percent ideal body weight have been used , but currently overweight and obesity are classified by body mass index (BMI). BMI (weight in kg/height2 in meters) is frequently used as a surrogate measure of fatness in children and adults. In adults, overweight is defined as a BMI of 25.0 to 29.9 Kg/m2; obesity is defined as a BMI ≥ 30.0 Kg/m2 [13,14]. Noteworthy, the correlation between self-reported duration of obesity (estimated by subtracting the current age from the age at which the individual’s BMI equalled or exceeded 30.0 Kg∙m−2), according with previous obesity definitions [13,14] and co-morbidities and echocardiographic findings has not, to the best of our knowledge, been correlated in large series of patients. Hence, we sought to study the relationship between this new American Heart Association (AHA) and World Health Organization (WHO)-adapted formula for reporting duration of obesity with echo-cardiographic findings (LV mass, internal dimensions in systole and diastole and diastolic dysfunction), co-morbidities and metabolic parameters (adiponectin and the HOMA-IR index) in a large cohort of individuals whose BMI ranged from normal (<25 Kg∙m−2) to morbid obesity (>40 Kg∙m−2) and who had been obese for varying lengths of time.
2. MATERIALS AND METHODS
2.1. Patient Population
One hundred and ninety eight (N = 198; M/F = 60/138) asymptomatic patients without underlying cardiac disease were included in the study. They were consecutively recruited from 1) the pool of individuals attending Centro Laparoscópico Ballesta (CLB) at Centro Médico Teknon and 2) from the pool of apparently healthy patients undergoing routine medical check-ups during that same time-period at the same medical facility (Medical Check-up Unit, Centro Médico Teknon) in Barcelona, Spain from January 1st until December 31st 2010.
Exclusion criteria were: current coronary artery disease, current/prior angina, or myocardial infarction, current/prior history of arrhythmia, cardiovascular co-morbidity (prior cerebrovascular accidents and/or peripheral vascular disease), current therapy with vasoactive drugs, statins or fibrates, current/prior alcohol consumption averaging > 60 g/day, active smoking, creatinine > 2 mg/dl, presence of neoplasia and/or systemic disease, suboptimal echocardiographic window.
From age 18 on, the time period (years) in which patients had sustained a body weight corresponding to a BMI ≥ 30 Kg∙m−2 was defined as duration of obesity (DOO years). Briefly, the body weight (Kg) corresponding to a BMI of 30 Kg∙m−2 was calculated as the squared height times 30, according to the AHA and WHO definition of obesity [13,14]. Thus, asking the patient how many years since age 18 had she/he maintained that body weight defined the duration of obesity. The duration of obesity information was obtained by the same trained observer (JY), using a systematic mode of in-person interview during the initial visit. Patients were further sub-classified into two groups, according to the reported DOO. Those patients who did not recall maintaining a body weight corresponding to a BMI ≥ 30 Kg∙m−2 from age 18 and thereafter formed the normal weight group (NW group) while those recalling maintaining a body weight corresponding to a BMI ≥ 30 Kg∙m−2 since age 18 and thereafter formed the obese group (Obese group). Anthropometrical measurements were performed by the same trained observer (JY) after participants had removed their shoes and heavy clothing. Weight (digital scales: Seca, Germany) and height (portable stadiometers: Holtain, Crymych, UK) were obtained and body mass index (BMI), defined as weight (Kg) divided by the height squared (in meters) was calculated. Excessive body weight (EBW) is reported according to Deitel et al. .
All patients underwent a detailed clinical, biochemical and echocardiography study. Patients were considered to be hypertensive according to Mancia’s criteria .
Written informed consent was obtained from each patient according to the standards established by the hospital’s ethics committee.
A Standard two-dimensional M-mode color Doppler echocardiography was performed on all patients using a 2.5 MHz transducer (ALOKA ProSound SSD-4000) by the same experienced echocardiographist according to an established protocol.
Telediastolic and telesystolic left ventricular (LV) diameters were measured whereas volume and cardiac output were calculated according to Teicholz’s formula . LV mass was calculated by means of Devereux’s formula . LV hypertrophy was defined according to Framingham’s criteria (LV mass/BSA > 110 g/m2 in females and LV mass/BSA > 134 g/m2 in males) . LV, left atrium (LA) and inter-ventricle septum (IVS) measurements were determined according to the American Society of Echocardiography . LA enlargement was defined as LA size > 40 mm.
Intra-observer variability was estimated to be 0.0 - 1.0 mm and 5% for wall thickness assessment and LV diameters, respectively.
2.3. Biochemical Measurements
Blood samples were drawn from each subject after an overnight fast (10 - 12 hours). Serum was spun at 4000 g for 10 min, immediately divided into aliquots, and frozen at –80˚C until analysis. Serum glucose concentrations were measured in duplicate by the glucose oxidase method with the use of a Beckman Glucose Analyser II (Beckman Instruments, Brea, CA). The coefficient of variation was 1.9%.
Insulin was measured using an immunocheminoluminometric assay (IMMULITE Diagnostic Products Corporation, Los Angeles, CA). The intraand inter-assay coefficient of variation was 3% and 7%, respectively. Cross-reactivity with pro-insulin was less than 0.01%. Insulin Resistance was estimated using the HOMA-IR index .
Plasma adiponectin concentrations were measured using a commercial human adiponectin RIA kit (Linco, Labodia SA, Yens, Switzerland) whose detection limit and intraand inter-assay coefficient of variation were 2.0 ng/ml, 5.0 and 5.0%, respectively. Normal adiponectin results were considered above 10.0 µg/ml . Cholesterol and triglycerides were measured by enzymatic methods; LDL-cholesterol was calculated by Friedwald’s formula and HDL-cholesterol after precipitation of apoB containing lipoproteins.
2.4. Statistical Analysis
The sample size was calculated as follows: assuming an α risk of 0.05, a β risk of 0.10, and a unilateral test, 50 subjects were needed in each group to detect a statisticcally significant correlation, with r = 0.30. A greater number of patients were included to further decrease the α and β risks. Before statistical analysis, normal distribution and homogeneity of the variances were tested. Qualitative variables are expressed as sample size (number of cases) and percentage (%), and quantitative variables are expressed as mean and standard error of the mean (SEM). The relationship between two qualitative variables was assessed using Chi-squared test with a continuity correction whenever necessary. The relationship between two quantitative variables was assessed using Pearson’s correlation coefficient. Level of statisticcal significance was set at P < 0.05. Data were analysed and figures constructed using the SPSS 15.0 statistical package (SPSS Inc., Chicago, IL, USA).
Demographic and biochemical characteristics of the participants are illustrated in Table 1. The study population (including both groups) was 70% female, and included a wide spectrum of BMI ranging from 22 to 70 kg/m2. Age ranged from 20 to 65 in women and to 55 in men. There were no age differences between both groups.
As shown, BMI, body weight and obesity duration were higher in the obese group (P < 0.0005; for all three). Moreover, both heart rate, systolic and diastolic blood pressure values were also higher in the obese group (P < 0.0005). Hypertension and diabetes were more prevalent in the obese group while basal glucose, insulin and HOMA-IR were higher (P < 0.0005) and adiponectin lower in the obese group (P < 0.001). Lipid profiles were similar between both groups. The TG/HDL-C ratio was significantly higher in the obese group (P < 0.0005). Heart rate was lower while systolic and diastolic blood pressures were lower in the NW group (P < 0.005 for all). All patients displayed a regular sinus rhythm on twelve lead surface electrocardiograms (data not shown).
Table 1. Demographic and biochemical characteristics of the participants. NW: normal weight, BMI: Body Mass Index, SBP: systolic blood pressure, DLP: dyslipidemia, DBP: diastolic blood pressure, HR: heart rate, HOMA-IR: homeostasis model assessment. ***P < 0.0005, **P < 0.001, *P < 0.05.
Echocardiographic characteristics of the participants appear illustrated in Table 1. As depicted, ejection fraction (EF) was similar between both groups. On the contrary, left ventricle mass (LVM), inter-ventricular septum (IVS), Teicholz’s cardiac output (CO-Tei), left atrium size (LA) and diastolic and systolic cardiac volumes (DV, SV) and diameters (DD, SD) were significantly higher in the obese group (P < 0.0005).
Univariate correlation analysis of obesity duration vs. demographic, biochemical and echocardiographic parameters are depicted in Table 2. The first column stands for the entire population while the second and third columns show the results of male and female participants, respectively.
As shown, direct significant correlations appear between the DOO and diastolic and systolic cardiac vol-
Table 2. Univariate correlation analysis of duration of obesity vs demographic, biochemical and echocardiographic parameters. r: Univariate (Pearson’s) correlation coefficients; EF: ejection fraction, LVM: left ventricle mass, IVS: interventricle septum, CO-Teicholz: cardiac output by Teicholz method, DV: diastolic volume, SV: systolic volume, DD: diastolic diameter, SD: systolic diameter, HTN: hypertension prevalence, DM2: diabetes mellitus prevalence, LogHOMA: log-transformed homeostasis model assessment, LogAdp: log-transformed adiponectin, LogTG_HDL-C: log transformed [TG/HDL_C] ratio. ***: P < 0.001, **: P < 0.01, *: P < 0.05.
umes and diameters as well as cardiac output in the whole population and in the female group. Conversely, these correlations did not reach statistical significance in the male participants. The inter-ventricular septum and left atrium showed a more robust correlation with the DOO in the male group while the left ventricular mass correlation only reached significance in the female group. Conversely, ejection fraction indexes showed no correlation with the duration of obesity in either group.
Similar statistically significant correlations were found between BMI and/or excess body weight (EBW) with all the echocardiographic parameters described previously, gender bias included (data not shown). Noteworthy, all the echocardiography results provided by our apparel take into account height and weight.
Regarding co-morbidities and metabolic parameters for the whole group, the self-reported DOO disclosed direct significant correlations with hypertension and diabetes prevalence, log-transformed HOMA and log-transformed TG/HDL-C ratio. An inverse significant correlation appeared with log-transformed adiponectin. Male participants disclosed more robust correlations than their female counterparts. The correlation between diabetes mellitus and the duration of obesity did not reach statistical significance in female participants.
Table 3 illustrates a stepwise multiple regression analysis including variables related to inter-ventricular septum thickness (IVS; dependent variable). As shown, 53.9% of its variance can be independently predicted by the DOO, gender, hypertension and log-transformed HOMA. Excluded variables were age, systolic and diastolic blood pressure values, heart rate, diabetes and logtransformed adiponectin. Self-reported DOO accounts for as much as 30.0% of IVS’s variance by itself in this model whereas gender, hypertension and log transformed HOMA add (11%, 2.8% and 3.0%, respectively) of the variance (data not shown).
The most novel finding in our study is the significant influence of a new definition of the self-reported duration of obesity (DOO) on echocardiographic findings (diastolic and systolic cardiac volumes and diameters, cardiac output, inter-ventricular septum, left ventricular mass and left atrium diameters), co-morbidities and metabolic parameters in a large cohort of individuals whose BMI ranged from normal to morbid obesity.
The study population (including both obese and controls) was 70% female, in agreement with the vast majority of literature in this field where female participants largely outnumber their male counterparts [23,24]. The obese participants had sustained a BMI equal or above 30 Kg∙m−2 for an average of 11 years whereas the control group did not recall sustaining a BMI above 30 Kg∙m−2 at anytime in their lives (P < 0.0005). Body weight and BMI were significantly higher in the obese group (P <
Table 3. Stepwise multiple regression analysis including variables related to inter-ventricular septum thickness (IVS; dependent variable). IVS: inter-ventricular septum thickness, logHOMA: log transformed HOMA, log-adiponectin: log transformed adiponectin.0.0005, respectively) (Table 1).
The prevalence of the most commonly encountered co-morbidities (diabetes mellitus and hypertension) was significantly higher in the obese group, in agreement with previous reports [23,24]. Dyslipidemia prevalence (according to the ATP III guidelines) was low and similar in both groups  (Table 1). Glucose, insulin and HOMA-IR were significantly higher and adiponectin concentrations significantly lower in the morbidly obese group (P < 0.0005) in agreement with previous reports [23,24,26] (Table 1). The triglycerides/HDL-cholesterol ratio, a surrogate marker of insulin resistance , was higher in the obese group, as reported previously . Lipid profiles (see Table 1) only showed mild abnormalities (increased triglycerides concentrations and/or decreased HDL-cholesterol concentrations) which did not resemble the atherogenic lipoprotein profile associated with obesity and insulin resistance . As a whole, they represent metabolically fit obese individuals .
The obese group displays increased systolic and diastolic blood pressure as well as heart rate compared with the NW group (P < 0.0005 for all) in agreement with previous reports [23,24,26] (Table 1).
The echocardiography differences in structure and function between normal-weight and obese participants (Table 2) lie in agreement with previous reports [10,13, 23,30] and are attributable to the hemodynamic repercussion of obesity. As depicted, obese individuals disclose significantly higher diastolic and systolic volumes and diameters as well as left atrium size and left ventricular mass. Noteworthy, systolic fraction (represented by ejection fraction parameter) appears unaffected.
These findings can be explained by the increment in total blood volume and cardiac output that is caused in part by the increased metabolic demand induced by excess body weight [31,32]. At any given level of activity, the cardiac workload is greater for obese subjects [33,34] who have a higher cardiac output and a lower total peripheral resistance than do lean individuals. The increased cardiac output is attributable mostly to increased stroke volume because heart rate increases little if at all [35,36]. Hence, the obese group in our series displayed significantly higher left ventricular mass, cardiac output, left atrium diameter, diastolic and systolic volumes and diameters (Table 2), in agreement with previous reports [10,13,23,31-33]. Furthermore, left ventricular mass stands as independent cardio-vascular risk factor according to previous reports [6-9].
When DOO is compared with echocardiographic findings in our series there appears a clear gender dimorphism with male obese participants not disclosing statistical significance in the correlation between their DOO and diastolic and systolic diameters and volumes, cardiac output and left ventricular mass (Table 2). Furthermore, there were no significant differences in habitual exercise between genders (data not shown) that could account for these differences. Our data fall in partial disagreement with previous reports where duration of morbid obesity was significantly associated with larger left ventricular mass in both genders; nevertheless, duration of obesity was calculated by a different formula (1993 Metropolitan Life Insurance Tables derived ideal body weight) .
Regarding the issue of a gender dimorphism in the correlation between DOO and left ventricular mass, diameters and volumes as well as cardiac output, with women being affected and men protected, we are puzzled since one would expect the contrary, taken into account that: 1) cardiac enlargement is an important predictor of adverse cardiovascular events among healthy middleaged and elderly people  and 2) cardiovascular disease seems to affect men earlier than women . In the Bogalusa Study obesity was the strongest and most consistent determinant of left ventricular diastolic diameter among both men and women, emphasizing the importance of obesity as a risk factor for left ventricular enddiastolic dilatation and potentially subsequent cardiovascular events, specifically heart failure . Unfortunately, no information is provided regarding the duration of obesity and its correlation with left ventricular enddiastolic dilatation in that particular study. Regarding speculation on gender differences between DOO and cardiac systolic and diastolic volumes and diameters, the particular issue of technical difficulties was raised and the cardiologist was asked whether that might account for the observed results. No differences in technical difficulty (suboptimal echocardiographic windows, lack of compliance, etc.) between genders were reported by the single cardiologist performing the entire set of echocardiograms. Additionally, the intra-observer variability reported in the methods section could not account for the observed gender differences.
The correlation between DOO and cardiac output in our series (Table 2) have not been reported using the same methodology but fall in agreement with the pathophysiology and hemodynamics of obesity per se [32-35].
A likely explanation for the inter-ventricular septum and left atrium showing a more robust correlation with the DOO in the male group while the left ventricular mass correlation only reaches significance in the female group is at present lacking in the literature; nevertheless, correlations between the duration of morbid obesity and left ventricular mass without gender bias, have been reported previously .
Furthermore, the lack of significance in the correlations between the DOO and systolic function in our series (Table 2) lie in disagreement with previous reports .
Finally, the correlation between the duration of obesity and hypertension and diabetes found in our series (Table 2) has been described previously using different formulas for estimating the duration of obesity [6-9]. Noteworthy, the correlations between duration of obesity and insulin resistance, sensitivity and atherogenic dyslipidemia found in our series have also been reported previously , using different formulas for estimating the duration of obesity.
The self-reported DOO in conjunction with gender, hypertension and log-HOMA in our series accounts for as much as almost 54.0% of the inter-ventricular septum’s variance. Noteworthy, DOO by itself explains as much as 30% of the variance in this model whereas gender, hypertension and log transformed HOMA add (11%, 2.8% and 3.0%) of the variance, respectively (Table 3). This has not, to the best of our knowledge, been reported before and stands as a novelty, stressing out the importance of the duration of obesity on both hemodynamics and heart structure.
One of the main drawbacks of our study concerns the concept of duration of obesity (DOO) by itself. It is well known that self-reported weight and height data are subject to random error and systematic reporting bias . Hence, self-reported assessment of obesity is notoriously inaccurate; nevertheless, self-report of weight and height and the duration of obesity data employed in our study show significant differences when compared to those in the literature [39,40]. As already described in the Methods section, the DOO data in our study was obtained by the same trained observer (JY), using an identical mode of in-person interview during the initial visit. There was not a time issue when performing the questions leading to a historical reconstruction of weight evolution. Additionally, taking into account the demographic characteristics of our study population, height was assumed to not have changed significantly since age 18. We are not aware of other studies using our very same methodology for reporting DOO. Thus we are unaware of the reliability of DOO and/or random errors and systematic reporting biases.
In summary, our AHA and WHO-adapted formula for estimating the duration of obesity provides a userfriendly tool for predicting co-morbidities such as left ventricular diameters and volumes, left ventricular mass, cardiac output as well as the prevalence of diabetes mellitus, hypertension and atherogenic dyslipidemia. Hence, its utilization in bariatric preoperative assessments in advanced practice nursing shows promise.
A gender bias appears regarding male obese participants not disclosing statistical significance in the correlation between their DOO and diastolic and systolic diameters and volumes, cardiac output and left ventricular mass. This latter issue remains to be elucidated and warrants prospective studies.
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