Saeidifard, Farzane

Abstract Disclosure: A. Nasir: None. F. Dehghani: None. F. Saeidifard: None. M. Ghannam: None. A. Almakadma: None. I. Idries: None. A. Esteghamat: None. R. Nieto- Martinez: None. J.I. Mechanick: None. Background: The Dysglycemia-Based Chronic Disease (DBCD) multi-morbidity care model was developed by American Association of Clinical Endocrinology to address the requirement for preventive care measures to reduce the impact of type two diabetes (T2D ) and its complications. The DBCD model consists of four distinct stages including: insulin resistance, prediabetes, T2D and vascular complication spectrum. This study assesses the prevalence and associated risk factors for each of the four DBCD stages in Iranian adults. Methods: From February 2002 to March 2020, 10,087 participants who attended clinic of Vali-Asr Hospital, Tehran, Iran, were evaluated. In total, 3,465 (34.3%) men with median age of 54.47 years and 6,629 (65.67%) women with median age of 50.2 years were included. A 10 ml blood sample was collected after an overnight fast, centrifuged, and stored at -70°C for lab evaluation to measure fasting blood sugar (FBS). Hemoglobin A1c was measured using high-performance liquid chromatography, while fasting and post-prandial glucose were assessed using enzymatic colorimetric methods. Results: Stage 1 was found in 19.7% of the population (23.2% in women and 13.1% in men), stage 2 in 17.8% of the population (19.3% in women and 14.8% in men), stage 3 in 31.4% of the population (28.2% in women and 37.5% in men), and stage 4 in 21.3% of the population (16.2% in women and 30.9% in men). DBCD stages increased significantly with age (stage 1=43.12, stage 2=51.24, stage 3=54.89, stage 4=61.51, P-value <0.01). All DBCD stages were associated with hypertension (stage 1: OR=3.07, stage 2: OR=5.08 ,stage 3: OR=7.87 and stage 4: OR=17.17) dyslipidemia (stage 1: OR=2.85, stage 2: OR=2.68, stage 3: OR=8.32, and stage 4: OR=7.66)and metabolic syndrome (stage 1: OR=14.04, stage 2: OR=21.95, stage 3: OR=32.50, and stage 4: OR=42.54). Conclusion: The findings of the current study further support the importance of the DBCD model in early detection and prevention of dysglycemia and their associated complications. Presentation: Sunday, July 13, 2025

Background: The Metabolically Obese Normal Weight (MONW) phenotype has been described as a unique subgroup of individuals with metabolic dysregulation similar to obese individuals, but not considered obese per se . In theory, these individuals have an adiposity-independent substrate predisposing them to metabolic dysregulation. We tested whether central obesity explains the metabolic abnormalities in persons with MONW in a prospective population-based cohort in the Czech Republic. Methods: We used data from Kardiovize Brno 2030 study, a prospective community-based cohort in Central Europe. We defined obesity using World Health Organization categories for body mass index (BMI) and central obesity by waist circumference (WC≥ 94 cm in men and ≥ 80 cm in women). Metabolically obese (MO) was defined using AHA criteria by having three or more of the following: Hypertriglyceridemia (≥ 1.7 mmol/l); HDL cholesterol level <1.0 mmol/l in men or <1.3 mmol/l in women; elevated blood pressure (systolic ≥ 130 mmHg and/or diastolic ≥ 85 mmHg) or antihypertensive drug treatment or history of hypertension; elevated fasting plasma glucose ≥ 5.6 mmol/l; or drug treatment and central obesity. Results: Of the 2,056 participants (46% men; mean age= 47.2 years, SD=11.2) included in the current analysis, 975 (47.4%) had normal weight and 696 (33.8%) were overweight. Prevalence of MO in the overall sample was 20.6% (n=424), 3.7% (n=36) among those with normal BMI and 9.9% (n=204) among overweight individuals. From the 36 subjects with MONW, 33 (91.6%) had central obesity by WC, while 201/204 (98.5%) with metabolically obese overweight, had central obesity by WC. Remarkably, in a subgroup of people with no metabolic obesity factors nobody had central obesity, see Figure . Conclusions: Metabolic dysregulation in people labeled as MONW can be explained by excessive visceral adiposity and not by an inherent predisposition, independent of adiposity.These findings underscore the importance of identifying central obesity in clinical practice even if BMI is below the obese criteria.

Background: The body Mass Index (BMI) is commonly used in clinical practice to screen for obesity and resulting cardiometabolic conditions. Nonetheless, BMI has limited utility as it cannot differentiate body fat (BF). Hypothesis: We tested the hypothesis that BF content measured by air displacement plethysmography (Bod-Pod®) had a stronger association with prevalent hypertension (HTN), diabetes mellitus (DM) and dyslipidemia (DLP) when compared to BMI. Methods: We performed a community-based cross-sectional study on adults attending an employee wellness center from January 2007-December 2011 who had had a body composition assessment with Bod-Pod®. We excluded subjects with history of myocardial infarction, coronary artery disease, congestive heart failure, stroke at baseline. The prevalence of HTN, DM and DLP was assessed across quartiles of BF% and BMI categories. Their association with BF% and BMI was evaluated using linear regression models that adjusted for age, sex, and white race. Results: We included 3,052 individuals; 68 % were women, and the mean age ± SD was 42.09±12.8, BMI was 27.9±6.2; BF% 31.88±10.69, 892 (29.2%) were obese by BMI. Cardiometabolic conditions were prevalent in 496 (16.2%) with HTN, 378 (12.4%) with DM and 743 (24.4%) with DLP. While the prevalence of DM, HTN and DLP increased across BF% quartiles (all p for linearity>0.01), this was not always the case across BMI categories (p for linearity<0.05 for HTN and DLP, and 0.04 for DM) see Figure A . Elevated BF %, better identified individuals with HTN (AUC 0.766 vs 0.625; p<0.001), DM (AUC 0.643 vs. 0.568; p<0.001), DLP (AUC 0.758 vs. 0.593; p<0.001). Conclusion: BF content is better associated with a higher prevalence of HTN, DM, and DLP. Highlighting the role of body composition assessment in primary prevention. Dyslipidemia.

Introduction: Wearable cardiac defibrillators (WCD) have been shown to be effective for detection and treatment of ventricular tachyarrhythmias. However, their efficacy in improving survival or decreasing mortality in patients with newly diagnosed cardiomyopathy (CM) is uncertain. This study reviews the current available evidence. Method: We searched databases since inception to April 2022, without language and year of publication restriction for randomized trials and cohort studies that examined the difference between WCD use and non-use in mortality and survival among patients with ischemic and non-ischemic CM. Two independent investigators screened the abstracts and full texts and extracted the data. Data was analyzed using random effect model. Results: From 603 records identified by a librarian, only 4 randomized trials on WCD use in ischemic CM met the inclusion criteria. One of them was an abstract without any full text published. The total participants were 18,779 of which 2,408 were in the WCD group (mean age 65.12±11.5, 20.7% female) and the rest in control group (mean age 65.45±11.36, 28% female). The adjusted all-cause mortality at 3 months follow up was significantly lower in WCD group (RR 0.32, CI [0.11-0.97], including three studies, 2,360 patients in WCD group and 4,954 in control group) (heterogeneity score I 2 =86%)(figure). Adjusted all-cause mortality at 12 months was also significantly lower in WCD group (RR 0.43, CI [0.25-0.71], two studies, 857 patients in WCD group and 15,566 in control group) (heterogeneity score, I 2 =49%). Only one study reported adjusted risk for arrhythmic death, myocardial infarction, arrhythmia (atrial or ventricular), stroke and hospitalization. In addition, one study reported the difference in cost and healthcare use between the two groups. Conclusion: Our meta-analysis confirms significant reduction in all-cause mortality associated with WCD use in patients with newly diagnosed ischemic cardiomyopathy.

Background: This is the first systematic review and meta-analysis to investigate the effect of resistance training (RT) on survival and other cardiovascular outcomes including ischemic heart disease events and stroke. Methods: An experienced librarian searched databases up to September 25 th , 2017, for randomized trials and cohort studies that evaluated the effect of RT on survival and cardiovascular events in the general population. The databases included Ovid MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, and Scopus. Two investigators conducted the screening process independently and in duplicate. Cochrane tools were used to assess the risk of bias in clinical trials and observational studies. We calculated hazard ratios and 95% confidence intervals using RevMan and fixed and random effect models and had a subgroup analysis based on doses of RT and for the combination of RT and aerobic exercise (AE) vs no exercise. Results: The search identified 1429 studies from which 10 (one randomized trial) met the inclusion criteria, including 338,254 participants with a mean follow up of 8.14 years. The meta-analysis showed that RT, in comparison with no exercises, is associated with 24% lower all-cause mortality and 48% lower mortality when combined with AE. Based on subgroup analysis, performing 1-2 sessions of RT/week is associated with lower all-cause mortality by 28% (HR 0.72, 95% CI 0.66-0.78) whereas > 5 sessions of RT/week has no association with all-cause mortality (HR 0.99, 95% CI 0.76-1.31). Further, RT alone or combined with AE is associated with lower CV mortality compared to no exercise (Figures). Finally, RT alone also showed a borderline association with lower all-cancer mortality. Heterogeneity was present for several comparisons, and subsequent analysis will explore sources of this variability. Using study design-specific Cochrane risk of bias tools, no major sources of bias were identified in the included studies. One cohort study looked at the effect of RT on coronary heart disease events and found 23% risk reduction in men, while no study specifically assessed the effect of RT on cerebrovascular outcomes. Conclusion: RT is associated with lower all-cause, CV and all-cancer mortality. RT appears to have an additive effect when combined with AE.

Introduction: Body fat (BF) content better predicts adiposity-related cardiovascular risk than the body mass index (BMI). Accurate and accepted methods to assess BF are complex, expensive, and accessible only in clinical settings. Multi-sensor 3D body volume (3D-BV) measurement technology has been shown to accurately estimate BF. We assessed the hypothesis that 3D models generated from biplane imaging (i.e., front and side facing photographs) using mobile devices (App), could be used to predict body volume measurements and derive BF. Methods: We prospectively enrolled 196 subjects, who underwent 3D-BV (gold standard for body volume) within 24 hours, dual-energy X-ray Absorptiometry (iDEXA) (gold standard for BF) and photographs taken with an Ipad® App at a predefined distance and pose. These photos were post-processed with a computer-assisted algorithm to estimate body length, girth, and volume. These were used to calculate body density (BD) using the bicompartmental principles of body composition (BD=Body Mass/Volume) and derive BF% using the Siri equation [(4.95/BD-4.50) X 100]. Correlation indexes and residual plots were created to compare 3D-BV and iDEXA with the App. Mean differences were compared using a paired t-test. Results: Mean ±SD age was 31.9±9.15 years, 53% were women, weight 72.8±14.1 kg, BMI was 25.5±4.5 kg/m 2 .The App volume correlated with 3D-BV (R 2 =0.95,95%CI 0.90,0.95, p<.0001, Figure 1-A ) ; average difference between App volume vs 3D-BV volume was -1.2 Liters, 95%CI,0.03, 2.42, p=0.06, ( Figure 1-B ). App BF% correlated with iDEXA BF% (R 2 =0.92, 95%CI 0.90,0.94, p<.0001, Figure 1-C ) ; while average difference between App BF% vs iDEXA BF% was -0.13 %, 95%CI -0.6,0.4, p=0.6, ( Figure 1-D ). Conclusion: BF can be estimated using volume measurements obtained by biplane imaging from mobile devices and could serve as a home-based, portable, scalable, cost-effective, and convenient measure to assess BF and track changes in body composition over time.

Introduction: This meta-analysis assessed the effect of chronic non-invasive positive airway pressure (> 6 weeks) on moderate to severe OSA with diastolic dysfunction based on echocardiographic parameters. Hypothesis: chronic use of non-invasive positive airway pressure (> 6 weeks) on moderate to severe OSA improves diastolic dysfunction based on echocardiographic parameters. Methods: We searched the databases for randomized clinical trials including Ovid MEDLINE, Ovid Embase Scopus, Web of Science, Google Scholar, and EBSCO CINAHL from inception up to December 20th, 2019. The search was not restricted to time, publication status or language. Two independent investigators screened the identified studies and extracted the data, in duplicate. Risk of bias was assessed using Cochrane collaboration tools. Results: A total of 2753 results were identified. A total of 9 studies including 808 participants were included. Results showed improvement in deceleration time (-39.49ms CI[-57.24,-21.74]; p=0.000), isovolumic relaxation time (-9.32 ms CI[-17.08, -1.57]; p=0.02) and the ratio of early mitral inflow velocity to mitral annular early diastolic velocity (E/E’) (-1.38 CI[-2.6, -0.16]; p=0.03). However, improvement in left atrial volume index, the ratio of early to late mitral inflow velocities (E/A) was not statistically significant. The risk of bias is mild to moderate. Conclusions: Our results suggest that chronic treatment of moderate to severe OSA with non-invasive positive airway pressure is associated with improvement in diastolic dysfunction.

Background The benefits of aerobic exercise are well-studied; there is no consensus on the association between resistance training and major adverse cardiovascular outcomes. This systematic review and meta-analysis aimed to address this issue. Design and methods We searched for randomized trials and cohort studies that evaluated the association between resistance training and mortality and cardiovascular events. Two investigators screened the identified abstracts and full-texts independently and in duplicate. Cochrane tools were used to assess the risk of bias. We calculated hazard ratios and 95% confidence intervals using random effect models. Results From the 1430 studies identified, 11 (one randomized trial and 10 cohort studies) met the inclusion criteria, totaling 370,256 participants with mean follow-up of 8.85 years. The meta-analysis showed that, compared with no exercise, resistance training was associated with 21% (hazard ratio (95% confidence interval (CI)), 0.79 (0.69–0.91)) and 40% (hazard ratio (95% CI), 0.60 (0.49–0.72)) lower all-cause mortality alone and when combined with aerobic exercise, respectively. Furthermore, resistance training had a borderline association with lower cardiovascular mortality (hazard ratio (95% CI), 0.83 (0.67–1.03)). In addition, resistance training showed no significant association with cancer mortality. Risk of bias was low to intermediate in the included studies. One cohort study looked at the effect of resistance training on coronary heart disease events in men and found a 23% risk reduction (risk ratio, 0.77, CI: 0.61–0.98). Conclusion Resistance training is associated with lower mortality and appears to have an additive effect when combined with aerobic exercise. There are insufficient data to determine the potential beneficial effect of resistance training on non-fatal events or the effect of substituting aerobic exercise with resistance training.