Different Body Parts' Fat Mass and Corrected QT Interval on The
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Yazdanpanah et al. BMC Cardiovasc Disord (2021) 21:277 https://doi.org/10.1186/s12872-021-02095-2 RESEARCH Open Access Diferent body parts’ fat mass and corrected QT interval on the electrocardiogram: The Fasa PERSIAN Cohort Study Mohammad Hosein Yazdanpanah1,2, Ehsan Bahramali3, Mohammad Mehdi Naghizadeh2, Mojtaba Farjam2*, Maryam Mobasheri1 and Shiva Dadvand1 Abstract Background: Previous studies suggested that obesity and fat mass are associated with QT interval prolongation, but the role of diferent body parts’ fat mass is unclear. The associations between total and regional fat mass (FM) and cor- rected QT interval (QTc) were investigated for the frst time in this study. Methods: In this sub-analysis of Fasa PERSIAN cohort Study data, 3217 subjects aged 35–70 entered our study. Body fat mass was assessed by bioelectrical impedance analysis and QTc interval calculated by the QT interval measured by Cardiax® software from ECGs and Bazett’s formula. Uni- and multi-variable linear and logistic regression was per- formed in IBM SPSS Statistics v23. Results: In males, the fat mass to fat-free mass (FM/FFM) ratio in the trunk, arms, total body, and legs were signif- cantly higher in the prolonged QTc group (QTc > 450 ms). Trunk (B 0.148), total (B 0.137), arms (B 0.124), legs (B 0.107) fat mass index (FMI) showed signifcant positive relationship= with continuous= QTc (P-value= < 0.001). Also, just= the fat-free mass index of legs had signifcant positive associations with QTc interval (P-value < 0.05). Surpris- ingly, in females, the mean of FM/FFM ratio in trunk and legs in the normal QTc group had higher values than the prolonged QTc group (QTc > 470 ms). Also, none of the body composition variables had a signifcant correlation with continuous QTc. Conclusion: Our study suggested that FMI ratios in the trunk, total body, arms, and legs were positively associated with QTc interval in males, respectively, from a higher to a lower beta-coefcient. Such associations were not seen in females. Our study implies that body fat mass may be an independent risk factor for higher QTc interval and, conse- quently, more cardiovascular events that should be investigated. Keywords: Fat mass, Fat mass to fat-free mass (FM/FFM) ratio, QT interval, QTc prolongation, Cardio-metabolic, Obesity, Electrocardiogram, Iran, Load-capacity model Introduction Total depolarization and repolarization times of cardio- myocytes are refected in the QT interval in the surface electrocardiogram (ECG). Tus, any alteration in the QT interval can indicate abnormalities in the two phases of *Correspondence: [email protected]; [email protected] the cardiomyocyte electrical cycle. Any QT prolonga- 2 Noncommunicable Diseases Research Center, Fasa University of Medical tion is primarily secondary to a prolonged repolarization Sciences, Fasa, Iran Full list of author information is available at the end of the article period, and it may be congenital or acquired. Some of the © The Author(s) 2021. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http:// creat iveco mmons. org/ licen ses/ by/4. 0/. The Creative Commons Public Domain Dedication waiver (http:// creat iveco mmons. org/ publi cdoma in/ zero/1. 0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. Yazdanpanah et al. BMC Cardiovasc Disord (2021) 21:277 Page 2 of 11 known and suggested risk factors of prolonged QT are diferent routes in the corpus and measures the electri- age [1], female gender [2], smoking [3], hyperlipidemia cal impedance accordingly. Body composition as a reli- [4] and a history of prior cardiovascular diseases [5], able way for distinguishing the fat disturbances in various metabolic syndrome [6], and comorbidities like diabetes, body parts was used in our study to seek which body renal failure, thyroid disturbances [7], and liver failure part’s fat mass is associated with corrected QT (QTc) [8]. Electrolytes like potassium [9] and calcium [7] have interval in an Iranian population. immediate and long-term efects on the QT interval; however, it is more of a concern in acute settings. Also, Methods there is a long list of drugs that afect QT, some of which Study population can produce arrhythmia [10]. In this cross-sectional study, we used collected data of One of the most prevalent cardiovascular risk factors Fasa Cohort Study, a branch of Prospective Epidemio- which can afect QT interval, directly and indirectly, is logical Research Studies in IrAN (PERSIAN) [24]. Tis obesity. Increasing body mass index (BMI) can alter the study is a prospective population-based cohort to evalu- heart rate and, thus, the corrected QT [2, 3]. Obesity is ate non-communicable diseases (NCDs) in participants also associated with other comorbidities and cardiovas- aged 35–70 with a 15-year follow-up. Before registration cular diseases (CVD) risk factors, including diabetes, in Fasa Cohort Study, informed consent is obtained from hypertension, and hyperlipidemia. Obesity can lead to each participant. All subjects with available data of both increased morbidity and mortality due to CVD as impor- body composition and electrocardiograms (n = 3311) tant NCDs among the Iranian population [11–13]. A entered our study. Nighty-four subjects (2.83%) were previous study in an Iranian population showed that cen- excluded due to lack of data of ECG and Body compo- tral adiposity is a signifcant determinant in CVD risk sition, non-sinus rhythm, wide QRS complex (QRS [14]. Also, in the Framingham study, obesity was one of duration > 120 ms), which can falsely increase QT inter- the signifcant causes of mortality due to heart disease val. Eventually, 3217 subjects (1415 male, 1802 female) [15]. remained in the study. Demographic data, including age, Compelling evidence indicates that the QT interval sex was recorded in a questionnaire. Also, the current is longer in overweight or obese individuals than in the status of smoking has been questioned: "Do you smoke average population [16]. Interestingly, after weight loss, cigarettes? Yes or no”. NCDs’ history, such as diabetes and either through diet and exercise or through surgery, the hypertension, and coronary heart disease (CHD), have QT interval shortens [16, 17]. Making it more quantita- been questioned and recorded. Diabetes was determined tive, Carella et al. showed a 5-ms increase in QT interval from self-reported history, use of oral hypoglycemics, or by every 50% increase in fat mass percentage measured insulins. Coronary heart disease was determined by the by hydrodensitometry. Te health efect of fat mass is self-reported history of coronary artery bypass graft sur- not about the fat volume itself but metabolic, neuroen- gery, coronary angioplasty, myocardial infarction, angina, docrine, and infammatory changes linked to fat mass or ECG evidence of myocardial infarction by identifying and its regional depots. Some of the suggested fat mass major Q-wave. Medication taken within two weeks was efect mechanisms include impaired fasting glucose [18], asked to be brought for registration at interview time hyperinsulinemia and insulin resistance [19], HR-varia- for maximum precision. CredibleMeds, as an American bility, and SNS activity [20]. organization, provides lists of drugs associated with QTc- Longer QT intervals have historically been believed prolongation, which is continuously updated by their to be a risk factor for developing arrhythmia in normal review team based on new information. We used a list of and diseased hearts [21]. Te QT interval has served including drugs with a known risk for TdP and medica- as a prognostic factor in specifc subgroups of patients, tions with a possible risk for TdP, which counts 187 car- including those with ischemic heart disease or heart fail- diac and non-cardiac drugs in total [25]. ure. Other measures related to it, like QT dispersion, have received much attention as predictors of sudden Measurements death in these patient populations [22]. Te heterogene- For serum total and high-density lipoprotein cholesterol ity of cardiomyocyte electrical activity, refected in sur- (TC and HDL) assessment, venous blood samples were face ECG as QT interval, explains why QT interval can taken in a 10-14 h fasting condition. Te sampling was discriminate an arrhythmia-prone heart and conse- performed by trained personnel and transported to the quently serves as a predictive tool [23]. laboratory in standard condition. TC and HDL meas- Determining body composition and distribution of ures were assayed using the Mindray BS380 autoanalyzer fat in body parts has been made possible using various (Mindray Medical International, Shenzhen, China) for devices that introduce small electrical currents through the biochemical tests. A stadiometer measured height Yazdanpanah et al. BMC Cardiovasc Disord (2021) 21:277 Page 3 of 11 with an accuracy of 0.1 cm, and a digital scale meas- standards, QTc < 450 ms for males and QTc < 470 ms for ured weight with an accuracy of 0.1 kg. Body mass index females was considered Normal QTc, higher QTc than (BMI) was calculated using a value divided by the square these two cut-points considered as prolonged QTc in of height (kg/m2).