Skip to main content

ORIGINAL RESEARCH article

Front. Cardiovasc. Med., 20 September 2023
Sec. Cardiovascular Imaging

Impact of body mass index on worsening of diastolic function and impairment of left atrial strain in the general female urban population: a subanalysis of the Berlin female risk evaluation echocardiography follow-up study

\r\nElena Romero Dorta,
Elena Romero Dorta1,2*Adrian Wolf,Adrian Wolf1,2Anne Hübscher,Anne Hübscher1,2Daniela Blaschke-WalugaDaniela Blaschke-Waluga1Ute Seeland,,Ute Seeland2,3,4Claudia CrayenClaudia Crayen5Sven BischoffSven Bischoff1Isabel Mattig,,,Isabel Mattig1,2,3,6Henryk Dreger,,Henryk Dreger1,2,3Karl Stangl,,Karl Stangl1,2,3Vera Regitz-Zagrosek,,Vera Regitz-Zagrosek3,7,8Ulf Landmesser,,Ulf Landmesser2,3,9Fabian Knebel,,Fabian Knebel1,3,10Verena Stangl,,Verena Stangl1,2,3Anna Brand,,,
\r\nAnna Brand1,2,3,9*
  • 1Deutsches Herzzentrum der Charité, Department of Cardiology, Angiology and Intensive Care Medicine, Campus Mitte, Berlin, Germany
  • 2Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
  • 3DZHK (German Centre for Cardiovascular Research), Partner Site, Berlin, Germany
  • 4Institute of Social Medicine, Epidemiology and Health Economics, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
  • 5Freie Universität Berlin, Department of Education and Psychology, Berlin, Germany
  • 6Berlin Institute of Health at Charité—Universitätsmedizin Berlin, BIH Biomedical Innovation Academy, Berlin, Germany
  • 7Charité—Universitätsmedizin Berlin, Institute of Gender in Medicine, Berlin, Germany
  • 8Department of Cardiology, University Hospital ZüRich, University of ZüRich, Switzerland
  • 9Deutsches Herzzentrum der Charité, Department of Cardiology, Angiology and Intensive Care Medicine, Campus Benjamin Franklin, Berlin, Germany
  • 10Clinical Department of Cardiology, Internal Medicine II, Sana Klinikum Berlin-Lichtenberg, Germany

Background: The association of body mass index (BMI) with diastolic dysfunction (DD) is well described in the literature. However, there is conflicting evidence and long-term follow-up data regarding effects of BMI on preclinical DD and left atrial (LA) function are scarce, highlighting the importance of early detection tools, such as myocardial strain.

Purpose: The aim of our study was to prospectively analyze the impact of clinical and demographic parameters, especially of BMI, on worsening of diastolic function and left atrial strain (LAS) in an urban population of women with a low prevalence of cardiovascular risk factors.

Methods and Results: An extensive clinical and echocardiographic assessment comprising the analysis of phasic LAS using two-dimensional speckle-tracking echocardiography (2D STE) was performed in 258 participants of the Berlin Female Risk Evaluation (BEFRI) trial between October 2019 and December 2020 after a mean follow-up period of 6.8 years. We compared clinical and echocardiographic parameters stratifying women by BMI < or ≥25 kg/m2, and we analyzed the impact of demographic characteristics on the worsening of DD and LA mechanics in the longer-term follow-up using univariate and multivariate regression analyses. 248 women were suitable for echocardiographic analysis of LAS using 2D STE. After a mean follow-up time of 6.8 years, LA reservoir strain (LASr) and LA conduit strain (LAScd) were significantly reduced in participants with a BMI ≥25 kg/m2 compared with women with a BMI <25 kg/m2 at baseline (30 ± 8% vs. 38 ± 9%, p < 0.0001; −14 ± 7% vs. −22 ± 8%, p < 0.0001). 28% of the overweighted women presented a deterioration of diastolic function at the time of follow-up in contrast with only 7% of the group with a BMI <25 kg/m2 (p < 0.0001). BMI remained significantly associated with LAS reductions after adjustment for other risk factors in multivariate regression analyses.

Conclusion: Overweight and obesity are related to impaired LAS and to a worsening of diastolic function after a long-term follow-up in a cohort of randomly selected women.

1. Introduction

Overweight and obesity have been linked to a worse diastolic function and an increased risk of heart failure and atrial fibrillation (1, 2). However, conflicting data suggest that there is no significant correlation between higher body mass index (BMI) and left ventricular (LV) diastolic dysfunction (DD) (3), and even a paradoxical protective effect of overweight and obesity has been discussed (4).

LA dysfunction is increasingly acknowledged for playing a main role in cardiovascular disease (5). Particularly LA function measured by phasic two-dimensional strain has shown its importance in diagnosing LVDD, especially in its early stages, and in grading its severity (68). Furthermore, including the analysis of LA strain (LAS) using two-dimensional speckle tracking echocardiography (2D STE) into a multimodality imaging algorithm seems to add important diagnostic value to the field of heart failure with preserved ejection fraction (HFpEF) (9), also in terms of affirming its specific aetiologies (10).

The effects of BMI on LAS have been described in a population of apparently healthy volunteers (11) highlighting the importance of early detection tools, such as myocardial strain. For the application of LAS in clinical practice, it is important to understand which factors determine the magnitude of its different phasic components. Therefore, setting the focus on BMI, we aimed to analyze clinical and demographic features associated with the natural course of evolving LVDD and LAS reduction and their deterioration in the mid-term follow-up in a population of randomly selected women.

2. Methods

2.1. General study population

The characteristics and design of the Berlin Female Risk Evaluation (BEFRI) trial have been already described (12). Briefly, the cross-sectional study included a randomized population of 1,066 women aged between 25 and 74 years of the city of Berlin, Germany, and aimed to analyze predictors of an incorrect cardiovascular risk perception in women. An extensive assessment of medical history including medication, conduct of somatometric measures, blood pressure measurement and ECG analysis were performed. Of the 1,066 participants, 473 women received a comprehensive transthoracic echocardiography during the recruitment in 2013 and 2014 (baseline), with a focus on DD assessment as well as analysis of myocardial LA strain. A detailed description of the echocardiographic data, setting the focus on left ventricular (LV) DD and LA strain, was first published after index investigations in 2016 (13). Somatometric data and clinical features of the larger sample at baseline have already been reported in detail (12). Every woman who took part in the BEFRI echo study and was suitable for the analysis of LA structure and function was invited for follow-up examinations between October 2019 and December 2020.

The trial was approved by the institutional ethics committee of the Charité University of Berlin (EA/2085/19), and all participants signed informed written consent.

For assessing the impact of BMI compared to other cardiovascular risk factors on LA function and DD, we defined two groups, following the World Health Organization (WHO) classification: a BMI <25 kg/m2 (normal) and ≥25 kg/m2 (overweight and obese).

2.2. Echocardiography

A comprehensive transthoracic echocardiography was conducted using a Vivid E9 system (GE Vingmed, Horton, Norway) with an M5S 1.5 to 4.5 MHz transducer, the same system used for baseline examinations. Standard echocardiographic views and measurements were performed in agreement with both, the American Society of Echocardiography (ASE) guidelines and the European Association of Cardiovascular Imaging (EACVI) guidelines (14, 15). We assessed diastolic function using established parameters as LA volume index (LAVI); diastolic transmitral inflow velocities (early—E wave—and late—A wave) and deceleration time obtained from the pulsed waved-Doppler signal; the lateral, septal and the average early diastolic mitral annular velocity (e') derived from the pulsed-wave tissue Doppler; and E/e'. LAVI was measured by the biplane disk summation technique in apical 4- and 2-chamber views. The maximum transvalvular velocity of the tricuspid regurgitation during systole allowed us to estimate the right ventricular (RV) to right atrial (RA) pressure difference. Structural and functional left and right heart parameters were then evaluated, as previously reported (13).

2.3. Analysis of left atrial function

Phasic LA function was assessed offline using 2D STE (EchoPAC v203, GE Healthcare) following the recent recommendations of the EACVI (16) and taking into account important technical and practical issues about image acquisition and post-processing (17). The analysis was performed in the LA focused apical 4-chamber view, avoiding foreshortening, and optimizing gain, depth, and frame rate (60–80 frames/s). Three cardiac cycles were recorded for each view. Since dedicated LAS software packages were not available in 2019 and 2020, and with the aim of following the methodology used in 2013 and 2014, the region of interest (ROI) was determined semi-automatically after tracing the endocardial borders of the LA using dedicated LV software. We analyzed LAS QRS-wave triggered. The maximum amplitude of the plotted average strain curve during ventricular systole corresponds to the LASr, while LAScd (during passive LV filling) and LASct (during active peak atrial contraction) were derived from the generated curve as already reported (13) and according to the recommended standardization (16) (Figure 1).

FIGURE 1
www.frontiersin.org

Figure 1. Baseline (A) and follow-up (B) echocardiography of a participant with BMI ≥25 kg/m2, showing a decline of left atrial reservoir strain (LASr) and left atrial conduit strain (LAScd), as well as a deterioration of diastolic function (from DD1 to DD2) over time.

2.4. Classification of diastolic function

Diastolic function at baseline and by follow-up was categorized by an experienced cardiologist unaware of clinical data, following the ASE/EACVI recommendations (14). We classified diastolic function according to the following criteria: (a) LAVI >34 ml/m2; (b) septal e' velocity of <7 cm/s or lateral e' velocity of <10 cm/s, or average e' <9 cm/s; (c) E/e' ratio >14; (d) tricuspid regurgitation peak velocity >2.8 m/s (corresponding to a RV-RA pressure difference >31 mmHg). As previously published (13), women who met 50% of these criteria were considered to present signs of impaired diastolic function (DD1), whereas subjects fulfilling >50% were included in the DD2 group (manifest DD). The rest were graded as DD0 (no signs of diastolic dysfunction).

To classify study participants both at baseline and follow-up, we generated a variable to define progression of diastolic dysfunction (DD_progress). It categorized the sample in women whose DD status worsened and therefore were classified as “progression” (DD0 to DD1 or DD1 to DD2), and in those who prevailed in the same group (stable in DD0 or DD1; classified as “no progression”).

2.5. Statistical analysis

Statistical analysis was performed using STATA 14.2. The hypothesis of a normal distribution of phasic LA strain variables was supported by n > 30 and tested by Sapiro-Wilk and Levene. Data were represented as mean ± standard deviation for continuous variables and in percentage for categorical variables. For descriptive statistics, we tested the significance of differences in clinical and echocardiographic parameters in subjects with BMI less 25 kg/m2 vs. equal to/greater 25 kg/m2 using the parametric t test for continuous and the non-parametric Chi-Square (X2) test for categorical variables. A p-value <0.05 was considered statistically significant. Finally, to investigate which baseline features of our population were possible determinants of a decline in the LA phasic strain parameters and a worsening of diastolic function, we performed univariate and multivariate regression analysis.

3. Results

3.1. Study population

The 449 women who qualified for echocardiographic analysis during baseline (13) were reinvited for follow-up examinations. 6.8 years was the mean follow-up time (353.1 weeks; interquartile range 343.1 to 361.1 weeks). Of the 332 participants who replied (73.9% response rate), nine were lost to follow-up, two explorations were cancelled because of other unforeseen medical procedures, and 63 scheduled visits were annulled due to constraints in relation to the SARS-CoV-2 pandemic situation. Hence, 258 participants were included in the BEFRI echocardiography follow-up study. At the time of the examination, we had to exclude two women from the analysis because they had developed moderate to severe mitral regurgitation and atrial fibrillation, and four due to poor acoustic window, resulting in a follow-up sample size of 252 participants (18). Only one of the participants who were excluded due to poor acoustic window presented a BMI ≥25 kg/m². The other three study subjects were excluded due to a foreshortening of the atrial roof in the 4-chamber-view. In addition, we excluded four participants for strain analysis due to inadequate speckle tracking quality of the LA wall (248 women for the follow-up LAS analysis).

3.2. Clinical and echocardiographic characteristics

Demographic and echocardiographic characteristics of the total sample analyzed by BMI < or ≥25 kg/m2 are represented in Table 1. Of the 252 women, 136 (54%) had a normal BMI (<25 kg/m) at baseline investigation, 103 (33%) were overweight (≥25 kg/m²) and 33 women (13%) were obese (≥30 kg/m2). The participants did not show significant weight gain or loss (Δ_BMI) during the follow-up. Women with a BMI ≥25 kg/m2 were markedly older, had a more frequently history of arterial hypertension and diabetes mellitus type 2, and showed higher levels of low-density lipoprotein (LDL) cholesterol when compared to normal weighted women.

TABLE 1
www.frontiersin.org

Table 1. Clinical and echocardiographic characteristics.

Regarding myocardial mechanics, LASr and LAScd as well as LV global longitudinal strain (GLS) were significantly reduced in subjects with a baseline BMI ≥25 kg/m² at the time of baseline investigations and at follow-up (Figure 2). As to classic echocardiographic parameters of DD, women with a BMI ≥25 kg/m2 presented higher average LAVI, lower diastolic transmitral inflow E wave and average e' velocities, and greater E/e' ratio by the time of follow-up compared to study participants with a BMI in the normal range (Figure 2). In line with these results, 32 women with a baseline BMI ≥25 kg/m² (28%) showed a deterioration of DD (DD_progress) by the time of follow-up compared with only 10 (7%) of the participants with a baseline BMI <25 kg/m2 (Figure 3).

FIGURE 2
www.frontiersin.org

Figure 2. Left atrial phasic strain values in % (reservoir, (A) conduit (B) contraction (C)), e’ average velocity in cm/s (D) and left atrial volume index (LAVI) (E) at the time of follow-up (FU) in women with BMI <25 kg/m2 and BMI ≥25 kg/m2. Left atrial reservoir (LASr) was significantly reduced in women with a BMI ≥25 kg/m2, who also presented a higher LAVI and decreased e’velocity. Likewise, compared to participants with a BMI in the normal range, LA conduit strain (LAScd) was markedly impaired. *p-value < 0.01.

FIGURE 3
www.frontiersin.org

Figure 3. Proportion of women who presented with a deterioration of diastolic function (DD_progress) by the time of follow-up (FU), stratified by body mass index (BMI) at baseline. A significantly higher fraction of women in the group with a BMI ≥25 kg/m2 showed a worsening of diastolic function by the time of FU. *p-value < 0.01.

3.3. Determinants of LA strain and worsening of DD

Study participants with a BMI ≥25 kg/m² presented a significantly reduced LASr and LAScd both at baseline (13) and follow-up (Table 1), with no significant further worsening of LA mechanics in women with a BMI ≥ 25 kg/m² over time. LASct showed no differences between groups. Age and a BMI ≥25 kg/m² remained significant predictors of LASr and LAScd at the time of follow-up after adjusting for other risk factors, like arterial hypertension, renal function, or diabetes mellitus (Table 2).

TABLE 2
www.frontiersin.org

Table 2. Predictors of diastolic function worsening and left atrial strain at the time of follow-up, multivariate regression analysis.

When analyzing independent risk factors of DD worsening in the follow-up, BMI showed no significant association in a multivariate logistic regression, as age and arterial hypertension appeared as stronger determinants.

4. Discussion

In this prospective longitudinal study, we assessed the impact of overweight and obesity on phasic LAS and diastolic function in women after a mean follow-up period of 6.8 years in women. We found that a BMI ≥25 kg/m² was significantly associated with reduced LAS values and with a markedly higher rate of diastolic function worsening compared to participants with a BMI <25 kg/m2.

Overweight and obesity are well-known risk factors for different cardiovascular pathologies, such as atrial fibrillation (AF) and heart failure with preserved ejection fraction (HFpEF) (1921). However, there are conflicting reports (3) and the data seem unclear, as a paradoxical protective effect of obesity on heart failure has also been discussed (4).

A high BMI is associated with an augmented risk of DD as shown by Rozenbaum et al. (1). The investigators reported that metabolically healthy overweight and obese patients were more likely to present abnormalities in most echocardiographic parameters recommended by the ASE/EACVI for the assessment of DD than patients with a BMI <25 mg/kg2, including LAVI >34 ml/m2. While on one side, phasic LAS impairment has been widely linked to DD, even without LA volume enlargement (6, 7, 22), on the other side Shemirani et al. (3) found no relationship between a high BMI and LVDD in a young obese population without other comorbidities. In our cohort of women with a low cardiovascular risk, a significantly greater number of overweight and obese subjects showed a worsening of diastolic function at the time of follow-up compared to the group with a BMI <25 mg/kg2 (28% vs. 7%), still presenting a mean LAVI <34 ml/m2 but notably reduced phasic LAS values. However, it was age and arterial hypertension which appeared as stronger determinants for diastolic function to be worsening over time, as described in other larger cohorts (1). Very recent data suggest that the use of alternative indices to BMI that do not incorporate weight, as for example waist-to-height ratio, may reflect better the adiposity linked to a higher cardiovascular risk, and therefore be more adequate for stratification (23).

Current guidelines (14) recommend the use of LAVI to diagnose and stratify DD because of its widely recognized role in cardiovascular risk stratification (24, 25). Nevertheless, there is increasing evidence on the relevance of the additional assessment of LA function for detection and classification of DD (5), given that it frequently shows alterations prior to LA enlargement (6, 7, 13). Furthermore, the growing interest about LA function relies on its prognostic value in many cardiovascular conditions (26). As already described in the BEFRI trial and as recently published (18), reduced phasic LAS entails predictive value regarding the worsening of diastolic function over time.

The assessment of LA anatomy and function using alternative imaging techniques, such as cardiac MRI, has become a suitable and consistent method over the last few years (27, 28) and needs to be considered in addition to echocardiography, especially to avoid its limitations, such as foreshortening of the atrial roof and the poor quality of the images due to bad acoustic windows, which is a common issue in overweight and obese population. The analysis of myocardial deformation using different quantitative tracking techniques as feature tracking (CMR-FT) (29) or fast strain encoded magnetic resonance (fast-SENC) (30) is growing in importance and has shown prognostic impact in stratifying population in risk of cardiovascular events as heart failure (31, 32) or atrial fibrillation (33). Due to the good visualization of the LA wall, quantifying LA volumes and strain using MRI may be advantageous for risk classification and evaluating response to therapeutic measurements in obese to assure reproducibility and accurate tracking. Nevertheless, cardiac MRI is still not available in every clinical setting and is not always feasible in terms of cost-efficiency, mobility, etc., when follow-up examinations are needed. Something relevant to consider since reference values are technique and vendor specific (28, 34).

For the use of LAS in clinical practice using echocardiography, normative data have been thoroughly reported (35), most recently in a large cohort of healthy individuals (36). Moreover, concerning clinical implications, the assessment of independent determinants of phasic LAS is important for its adequate interpretation. Sugimoto et al. described a mean value of 42.5% (interquartile range 36.1–48.0) regarding LASr; −25.7% (−20.4–31.8) for LAScd; and 16.3% (12.9–19.5) for LASct in healthy subjects, consistent with the data that we present in our cohort of women with BMI <25 mg/kg2. In accordance with our results, Chirinos et al. (11) published a significant lower amount of LASr and LAScd in a large cohort of overweight and obese persons aged 35–55 years.

The positive effects of weight reduction on myocardial mechanics have already been reported in metabolically healthy obese patients who undergo bariatric surgery (37, 38, 39), indicating the potential reversibility of impaired LA function. In the same line, the beneficial clinical impact of drug-induced weight reduction using semaglutide in patients with already diagnosed heart failure with preserved ejection fraction, as recently published by the authors of the STEP-HFpEF Trial (40), highlights the importance of routinely implementing early cardiovascular risk detection tools such as myocardial strain, especially from the point of view of addressing primary prevention measures.

4.1. Limitations

Our study holds several limitations. (A) Mainly due to the complicated health situation resulting from the SARS-CoV-2 pandemic, 72 women initially enrolled were lost to follow-up with potential impact on the power of our study. Our results should be confirmed in larger prospective trials, also considering possible sex-related differences. (B) The assessment of the BMI represents an indirect measurement to classify obesity with limited diagnostic value to assess body fat composition and its distribution, which play a crucial role in lipid and glucose metabolism as well as in low grade inflammation (41). Direct quantification of body fat with for example energy x-ray absorptiometry may have added value to the study. Nevertheless, estimating body fat by assessing the BMI, the waist circumference, or the waist-to-hip ratio, as described in our data, are easily obtained, and are widely used in clinical routine. BMI still represents the most frequently used parameter of obesity and shows, in contrast to the parameters waist-to-hip ratio or waist circumference, consistent cut-offs in many studies (42). (C) We did not stratify the results by age, although its influence on DD and on BMI itself is well-known (43, 44). Moreover, all phases of LAS diminish with age as shown in the NORRE study (36). In the multivariate analysis, however, BMI remained significantly associated with a worse LAS at follow-up after adjusting for age and other risk factors. On the other hand, age and arterial hypertension appeared as stronger determinants of DD worsening than BMI. (D) We only examined women, a fact that relates to the initial design of the BEFRI trial (12). Nevertheless, no relevant gender differences in LAS parameters have been described to our knowledge (35, 36). (E) Specific hormonal status was not assessed in our study cohort, a limitation that should be considered given the well-known association of postmenopausal hormonal changes with cardiovascular risk in women (45). (F) A dedicated LAS-tracking software has been recently implemented in clinical practice, improving measurement reproducibility (46). At the time of baseline investigations, this tool was not available, and therefore we used the LV-dedicated strain software for both exploration time points, as the use of the same analysis software is recommended for follow-up measurements (16), and no significant differences in mean LAS values have been described comparing both methods. (G) Our study did not aim to determine the superiority of the LAS values when compared to conventional diastolic dysfunction parameters. The LAS measurements remain an added value and should be used and interpreted in addition to the standard echocardiographic parameters. The superior value of LAS is to be determined in larger prospective trials, which include a more heterogeneous female and male study population.

5. Conclusion

Our data demonstrate significant reductions in phasic LAS after a mean follow-up time of 6.8 years in women who initially presented with a BMI ≥25 kg/m2. In addition, overweight and obese women showed a higher rate of worsening diastolic function compared to study participants with a BMI <25 kg/m2. Our data suggest that overweight and obesity may significantly impair myocardial function in women already after a medium-term follow-up period. However, these findings need to be confirmed in larger prospective trials that include men and women and that investigate the relationship between BMI, LAS and the deterioration of diastolic function over time and the development of heart failure signs and symptoms.

Data availability statement

The original contributions presented in the study are included in the article/Supplementary Materials, further inquiries can be directed to the corresponding authors.

Ethics statement

The studies involving humans were approved by Charité Universitätsmedizin Berlin (EA/2085/19) Charitéplatz1 10117 Berlin. The studies were conducted in accordance with local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.

Author contributions

ER: data collection, analysis and interpretation, writing the manuscript. AW, AH and DW: data collection, analysis and interpretation, critical revision of manuscript. US: funding of study, conception and design, critical revision of manuscript. CC: statistical analysis, analysis and interpretation, critical revision of manuscript. SB: analysis and interpretation, critical revision of manuscript, IM: data collection, analysis and interpretation, critical revision of manuscript. HD, KS, VR, UL, FK: conception and design, analysis and interpretation, critical revision of manuscript. VS: conception and design, analysis and interpretation, critical revision of manuscript. AB: funding of study, conception and design, data collection, supervision of study, analysis and interpretation, critical revision of manuscript, and funding. All authors contributed to the article and approved the submitted version.

Funding

Supported by the DZHK (German Centre for Cardiovascular Research) and by the BMBF (German Ministry of Education and Research). Grant number 81Z0100211. We acknowledge financial support from the Open Access Publication Fund of Charité – Universitätsmedizin Berlin and the German Research Foundation (DFG).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Rozenbaum Z, Topilsky Y, Khoury S, Pereg D, Laufer-Perl M. Association of body mass index and diastolic function in metabolically healthy obese with preserved ejection fraction. Int J Cardiol. (2019) 277:147–52. doi: 10.1016/j.ijcard.2018.08.008

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Gentile F, Ghionzoli N, Borrelli C, Vergaro G, Pastore MC, Cameli M, et al. Epidemiological and clinical boundaries of heart failure with preserved ejection fraction. Eur J Prev Cardiol. (2022) 29(8):1233–43. doi: 10.1093/eurjpc/zwab077

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Shemirani H, Tajmirriahi M, Nikneshan A, Kleidari B. The relation between obesity and left ventricular diastolic function in young people: a cross-sectional study. ARYA Atheroscler. (2021) 17(4):1–6. doi: 10.22122/arya.v17i0.2251

CrossRef Full Text | Google Scholar

4. Lavie CJ, Alpert MA, Arena R, Mehra MR, Milani RV, Ventura HO. Impact of obesity and the obesity paradox on prevalence and prognosis in heart failure. JACC Heart Fail. (2013) 1(2):93–102. doi: 10.1016/j.jchf.2013.01.006

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Thomas L, Muraru D, Popescu BA, Sitges M, Rosca M, Pedrizzetti G, et al. Evaluation of left atrial size and function: relevance for clinical practice. J Am Soc Echocardiogr. (2020) 33(8):934–52. doi: 10.1016/j.echo.2020.03.021

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Thomas L, Marwick TH, Popescu BA, Donal E, Badano LP. Left atrial structure and function, and left ventricular diastolic dysfunction: JACC state-of-the-art review. J Am Coll Cardiol. (2019) 73(15):1961–77. doi: 10.1016/j.jacc.2019.01.059

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Morris DA, Belyavskiy E, Aravind-Kumar R, Kropf M, Frydas A, Braunauer K, et al. Potential usefulness and clinical relevance of adding left atrial strain to left atrial volume index in the detection of left ventricular diastolic dysfunction. JACC Cardiovasc Imaging. (2018) 11(10):1405–15. doi: 10.1016/j.jcmg.2017.07.029

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Popescu BA, Beladan CC, Nagueh SF, Smiseth OA. How to assess left ventricular filling pressures by echocardiography in clinical practice. Eur Heart J Cardiovasc Imaging. (2022) 23(9):1127–9. doi: 10.1093/ehjci/jeac123

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Smiseth OA, Baron T, Marino PN, Marwick TH, Flachskampf FA. Imaging of the left atrium: pathophysiology insights and clinical utility. Eur Heart J Cardiovasc Imaging. (2021) 23(1):2–13. doi: 10.1093/ehjci/jeab191

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Smiseth OA, Morris DA, Cardim N, Cikes M, Delgado V, Donal E, et al. Multimodality imaging in patients with heart failure and preserved ejection fraction: an expert consensus document of the European association of cardiovascular imaging. Eur Heart J Cardiovasc Imaging. (2022) 23(2):e34–61. doi: 10.1093/ehjci/jeab154

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Chirinos JA, Sardana M, Satija V, Gillebert TC, De Buyzere ML, Chahwala J, et al. Effect of obesity on left atrial strain in persons aged 35–55 years (the asklepios study). Am J Cardiol. (2019) 123(5):854–61. doi: 10.1016/j.amjcard.2018.11.035

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Oertelt-Prigione S, Seeland U, Kendel F, Rucke M, Floel A, Gaissmaier W, et al. Cardiovascular risk factor distribution and subjective risk estimation in urban women–the BEFRI study: a randomized cross-sectional study. BMC Med. (2015) 13:52. doi: 10.1186/s12916-015-0304-9

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Brecht A, Oertelt-Prigione S, Seeland U, Rucke M, Hattasch R, Wagelohner T, et al. Left atrial function in preclinical diastolic dysfunction: two-dimensional speckle-tracking echocardiography-derived results from the BEFRI trial. J Am Soc Echocardiogr. (2016) 29(8):750–8. doi: 10.1016/j.echo.2016.03.013

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Nagueh SF, Smiseth OA, Appleton CP, Byrd BF 3rd, Dokainish H, Edvardsen T, et al. Recommendations for the evaluation of left ventricular diastolic function by echocardiography: an update from the American society of echocardiography and the European association of cardiovascular imaging. Eur Heart J Cardiovasc Imaging. (2016) 17(12):1321–60. doi: 10.1093/ehjci/jew082

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Lang RM, Badano LP, Mor-Avi V, Afilalo J, Armstrong A, Ernande L, et al. Recommendations for cardiac chamber quantification by echocardiography in adults: an update from the American society of echocardiography and the European association of cardiovascular imaging. Eur Heart J Cardiovasc Imaging. (2015) 16(3):233–70. doi: 10.1093/ehjci/jev014

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Badano LP, Kolias TJ, Muraru D, Abraham TP, Aurigemma G, Edvardsen T, et al. Standardization of left atrial, right ventricular, and right atrial deformation imaging using two-dimensional speckle tracking echocardiography: a consensus document of the EACVI/ASE/industry task force to standardize deformation imaging. Eur Heart J Cardiovasc Imaging. (2018) 19(6):591–600. doi: 10.1093/ehjci/jey042

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Voigt JU, Malaescu GG, Haugaa K, Badano L. How to do LA strain. Eur Heart J Cardiovasc Imaging. (2020) 21(7):715–7. doi: 10.1093/ehjci/jeaa091

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Brand A, Romero Dorta E, Wolf A, Blaschke-Waluga D, Seeland U, Crayen C, et al. Phasic left atrial strain to predict worsening of diastolic function: results from the prospective Berlin female risk evaluation follow-up trial. Front Cardiovasc Med. (2023) 10:1070450. doi: 10.3389/fcvm.2023.1070450

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Vyas V, Lambiase P. Obesity and atrial fibrillation: epidemiology, pathophysiology and novel therapeutic opportunities. Arrhythm Electrophysiol Rev. (2019) 8(1):28–36. doi: 10.15420/aer.2018.76.2

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Javed S, Gupta D, Lip GYH. Obesity and atrial fibrillation: making inroads through fat. Eur Heart J Cardiovasc Pharmacother. (2020) 7(1):59–67. doi: 10.1093/ehjcvp/pvaa013

CrossRef Full Text | Google Scholar

21. Borlaug BA, Jensen MD, Kitzman DW, Lam CSP, Obokata M, Rider OJ. Obesity and heart failure with preserved ejection fraction: new insights and pathophysiological targets. Cardiovasc Res. (2022) 118(18):3434–50. doi: 10.1093/cvr/cvac120

CrossRef Full Text | Google Scholar

22. Mandoli GE, Sisti N, Mondillo S, Cameli M. Left atrial strain in left ventricular diastolic dysfunction: have we finally found the missing piece of the puzzle? Heart Fail Rev. (2020) 25(3):409–17. doi: 10.1007/s10741-019-09889-9

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Butt JH, Petrie MC, Jhund PS, Sattar N, Desai AS, Kober L, et al. Anthropometric measures and adverse outcomes in heart failure with reduced ejection fraction: revisiting the obesity paradox. Eur Heart J. (2023) 44(13):1136–53. doi: 10.1093/eurheartj/ehad083

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Douglas PS. The left atrium: a biomarker of chronic diastolic dysfunction and cardiovascular disease risk. J Am Coll Cardiol. (2003) 42(7):1206–7. doi: 10.1016/S0735-1097(03)00956-2

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Hoit BD. Left atrial size and function: role in prognosis. J Am Coll Cardiol. (2014) 63(6):493–505. doi: 10.1016/j.jacc.2013.10.055

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Donal E, Sade LE, Thomas L. Left atrial function: the HbA1c for the cardiologist and even more. Eur J Heart Fail. (2022) 24(3):494–6. doi: 10.1002/ejhf.2438

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Truong VT, Palmer C, Wolking S, Sheets B, Young M, Ngo TNM, et al. Normal left atrial strain and strain rate using cardiac magnetic resonance feature tracking in healthy volunteers. Eur Heart J Cardiovasc Imaging. (2020) 21(4):446–53. doi: 10.1093/ehjci/jez157

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Peng J, Zhao X, Zhao L, Fan Z, Wang Z, Chen H, et al. Normal values of myocardial deformation assessed by cardiovascular magnetic resonance feature tracking in a healthy Chinese population: a multicenter study. Front Physiol. (2018) 9:1181. doi: 10.3389/fphys.2018.01181

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Cau R, Bassareo P, Suri JS, Pontone G, Saba L. The emerging role of atrial strain assessed by cardiac MRI in different cardiovascular settings: an up-to-date review. Eur Radiol. (2022) 32(7):4384–94. doi: 10.1007/s00330-022-08598-6

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Korosoglou G, Giusca S, Hofmann NP, Patel AR, Lapinskas T, Pieske B, et al. Strain-encoded magnetic resonance: a method for the assessment of myocardial deformation. ESC Heart Fail. (2019) 6(4):584–602. doi: 10.1002/ehf2.12442

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Chirinos JA, Sardana M, Ansari B, Satija V, Kuriakose D, Edelstein I, et al. Left atrial phasic function by cardiac magnetic resonance feature tracking is a strong predictor of incident cardiovascular events. Circ Cardiovasc Imaging. (2018) 11(12):e007512. doi: 10.1161/CIRCIMAGING.117.007512

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Korosoglou G, Giusca S, Montenbruck M, Patel AR, Lapinskas T, Götze C, et al. Fast strain-encoded cardiac magnetic resonance for diagnostic classification and risk stratification of heart failure patients. JACC Cardiovasc Imaging. (2021) 14(6):1177–88. doi: 10.1016/j.jcmg.2020.10.024

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Chen L, Zhang M, Chen W, Li Z, Wang Y, Liu D, et al. Cardiac MRI left atrial strain associated with new-onset atrial fibrillation in patients with ST-segment elevation myocardial infarction. J Magn Reson Imaging. (2023) 58(1):135–44. doi: 10.1002/jmri.28491

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Pathan F, Zainal Abidin HA, Vo QH, Zhou H, D'Angelo T, Elen E, et al. Left atrial strain: a multi-modality, multi-vendor comparison study. Eur Heart J Cardiovasc Imaging. (2021) 22(1):102–10. doi: 10.1093/ehjci/jez303

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Pathan F, D'Elia N, Nolan MT, Marwick TH, Negishi K. Normal ranges of left atrial strain by speckle-tracking echocardiography: a systematic review and meta-analysis. J Am Soc Echocardiogr. (2017) 30(1):59–70.e8. doi: 10.1016/j.echo.2016.09.007

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Sugimoto T, Robinet S, Dulgheru R, Bernard A, Ilardi F, Contu L, et al. Echocardiographic reference ranges for normal left atrial function parameters: results from the EACVI NORRE study. Eur Heart J Cardiovasc Imaging. (2018) 19(6):630–8. doi: 10.1093/ehjci/jey018

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Strzelczyk J, Kalinowski P, Zieniewicz K, Szmigielski C, Byra M, Styczyński G. The influence of surgical weight reduction on left atrial strain. Obes Surg. (2021) 31(12):5243–50. doi: 10.1007/s11695-021-05710-5

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Gherbesi E, Cuspidi C, Faggiano A, Sala C, Carugo S, Tadic M. Bariatric surgery and myocardial mechanics: a meta-analysis of speckle tracking echocardiographic studies. J Clin Med. (2022) 11(16):4655. doi: 10.3390/jcm11164655

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Aga YS, Kroon D, Snelder SM, Biter LU, de Groot-de Laat LE, Zijlstra F, et al. Decreased left atrial function in obesity patients without known cardiovascular disease. Int J Cardiovasc Imaging. (2023) 39(3):471–9. doi: 10.1007/s10554-022-02744-3

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Kosiborod MN, Abildstrom SZ, Borlaug BA, Butler J, Rasmussen S, Davies M, et al. Semaglutide in patients with heart failure with preserved ejection fraction and obesity. N Engl J Med. (2023). doi: 10.1056/NEJMoa2306963 [Online ahead of print]37622681

PubMed Abstract | CrossRef Full Text | Google Scholar

41. De Lorenzo A, Soldati L, Sarlo F, Calvani M, Di Lorenzo N, Di Renzo L. New obesity classification criteria as a tool for bariatric surgery indication. World J Gastroenterol. (2016) 22(2):681–703. doi: 10.3748/wjg.v22.i2.681

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Ghesmaty Sangachin M, Cavuoto LA, Wang Y. Use of various obesity measurement and classification methods in occupational safety and health research: a systematic review of the literature. BMC Obes. (2018) 5:28. doi: 10.1186/s40608-018-0205-5

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Bello H, Norton GR, Peterson VR, Mmopi KN, Mthembu N, Libhaber CD, et al. Hemodynamic determinants of age versus left ventricular diastolic function relations across the full adult age range. Hypertension. (2020) 75(6):1574–83. doi: 10.1161/HYPERTENSIONAHA.119.14622

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Woolley C, Thompson C, Hakendorf P, Horwood C. The effect of age upon the interrelationship of BMI and inpatient health outcomes. J Nutr Health Aging. (2019) 23(6):558–63. doi: 10.1007/s12603-019-1206-x

PubMed Abstract | CrossRef Full Text | Google Scholar

45. El Khoudary SR, Aggarwal B, Beckie TM, Hodis HN, Johnson AE, Langer RD, et al. Menopause transition and cardiovascular disease risk: implications for timing of early prevention: a scientific statement from the American heart association. Circulation. (2020) 142(25):e506–e32. doi: 10.1161/CIR.0000000000000912

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Mirea O, Duchenne J, Voigt JU. Comparison between nondedicated and novel dedicated tracking tool for right ventricular and left atrial strain. J Am Soc Echocardiogr. (2022) 35(4):419–25. doi: 10.1016/j.echo.2021.11.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: body mass index, left atrial strain, diastolic dysfunction, left atrium, BEFRI

Citation: Romero Dorta E, Wolf A, Hübscher A, Blaschke-Waluga D, Seeland U, Crayen C, Bischoff S, Mattig I, Dreger H, Stangl K, Regitz-Zagrosek V, Landmesser U, Knebel F, Stangl V and Brand A (2023) Impact of body mass index on worsening of diastolic function and impairment of left atrial strain in the general female urban population: a subanalysis of the Berlin female risk evaluation echocardiography follow-up study. Front. Cardiovasc. Med. 10:1242805. doi: 10.3389/fcvm.2023.1242805

Received: 19 June 2023; Accepted: 31 August 2023;
Published: 20 September 2023.

Edited by:

Grigorios Korosoglou, GRN Klinik Weinheim, Germany

Reviewed by:

Wolfgang Fehske, Independent Researcher, Germany
Ilias Ninios, Interbalkan Medical Center, Greece

© 2023 Romero Dorta, Wolf, Hübscher, Blaschke-Waluga, Seeland, Crayen, Bischoff, Mattig, Dreger, Stangl, Regitz-Zagrosek, Landmesser, Knebel, Stangl and Brand. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Elena Romero Dorta ZWxlbmEucm9tZXJvLWRvcnRhQGRoemMtY2hhcml0ZS5kZQ== Anna Brand YW5uYS5icmFuZEBkaHpjLWNoYXJpdGUuZGU=

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.