Rest and Stress Left Atrial Dysfunction in Patients with Atrial Fibrillation
by
, , , , , , , , , , , , , , , , , and
on behalf of the Stress Echo 2030 Study Groupadd
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Angela Zagatina
1,†,
Maria Rivadeneira Ruiz
2,†,
Quirino Ciampi
3,
Karina Wierzbowska-Drabik
4,
Jaroslaw Kasprzak
5,
Elena Kalinina
1,
Irina Begidova
1,
Jesus Peteiro
6,
Rosina Arbucci
7,
Sofia Marconi
7,
Jorge Lowenstein
7,
Alla Boshchenko
8,
Fiore Manganelli
9,
Jelena Čelutkienė
10,
Doralisa Morrone
11,
Elisa Merli
12,
Federica Re
13,
Clarissa Borguezan-Daros
14
,
Maciej Haberka
15,
Ariel K. Saad
16,
Ana Djordjevic-Dikic
17,
Nithima Chaowalit Ratanasit
18,
Fausto Rigo
19,
Paolo Colonna
20,
José Luis de Castro e Silva Pretto
21,
Fabio Mori
22,
Maria Grazia D’Alfonso
22,
Miodrag Ostojic
23,
Bojan Stanetic
23,
Tamara Kovacevic Preradovic
23,
Fabio Costantino
24,
Andrea Barbieri
25,
Rodolfo Citro
26,
Annalisa Pitino
27,
Mauro Pepi
28,
Scipione Carerj
29,
Patricia A. Pellikka
30 and
Eugenio Picano
27,*,‡
on behalf of the Stress Echo 2030 Study Groupadd
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1
Cardiology Department, Research Scientific Cardiocenter “Medika”, 197110 St. Petersburg, Russia
2
Cardiology Department, University Hospital of Virgen Macarena, 41009 Seville, Spain
3
Fatebenefratelli Hospital of Benevento, 82100 Benevento, Italy
4
Department of Internal Disease and Clinical Pharmacology, Medical University, 93-510 Lodz, Poland
5
Cardiology Department, Bieganski Hospital, Medical University, 93-510 Lodz, Poland
6
CHUAC—Complexo Hospitalario Universitario A Coruna, University of A Coruna, 15071 La Coruna, Spain
7
Cardiodiagnosticos, Investigaciones Medicas Center, Buenos Aires C1082, Argentina
8
Cardiology Research Institute, Tomsk National Research Medical Centre of the Russian Academy of Sciences, 634028 Tomsk, Russia
9
Cardiology Department, SG Moscati Hospital, 83100 Avellino, Italy
10
Centre of Cardiology and Angiology, Clinic of Cardiac and Vascular Diseases, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Centre of Innovative Medicine, LT-10257 Vilnius, Lithuania
11
Cardiothoracic Department, University of Pisa, 56126 Pisa, Italy
12
Department of Cardiology, Ospedale per gli Infermi, Faenza, 48100 Ravenna, Italy
13
Department of Cardiology, Ospedale San Camillo, 00149 Roma, Italy
14
Cardiology Division, Hospital San José, Criciuma 88801-250, Brazil
15
Department of Cardiology, SHS, Medical University of Silesia, 40-635 Katowice, Poland
16
División de Cardiología, Hospital de Clínicas José de San Martín, Buenos Aires C1120, Argentina
17
Cardiology Clinic, University Center Serbia, Medical School, University of Belgrade, 11000 Belgrade, Serbia
18
Division of Cardiology, Department of Medicine, Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
19
Department of Cardiology, Dolo Hospital, 30031 Venice, Italy
20
Cardiology Division, Bari University Hospital, 70100 Bari, Italy
21
Hospital Sao Vicente de Paulo e Hospital de Cidade, Passo Fundo 99010-080, Brazil
22
SOD Diagnostica Cardiovascolare, DAI Cardio-Toraco-Vascolare, Azienda Ospedaliera-Universitaria Careggi, 50139 Firenze, Italy
23
Department of Noninvasive Cardiology, University Clinical Center, School of Medicine, 78000 Banja-Luka, Bosnia and Herzegovina
24
Cardiology Division, San Carlo Hospital, 85100 Potenza, Italy
25
Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, 41124 Modena, Italy
26
Cardiology Division, Ospedale Ruggi di Aragona, 84100 Salerno, Italy
27
CNR, Institute of Clinical Physiology, 56124 Pisa, Italy
28
Centro Cardiologico Monzino, IRCCS, 20138 Milano, Italy
29
Cardiology Division, University Hospital Polyclinic G.Martino, University of Messina, 98166 Messina, Italy
30
Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55901, USA
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
‡
Membership of the group (see Appendix A).
J. Clin. Med. 2023, 12(18), 5893; https://doi.org/10.3390/jcm12185893
Submission received: 21 August 2023
/
Revised: 1 September 2023
/
Accepted: 9 September 2023
/
Published: 11 September 2023
(This article belongs to the Section Cardiology)
Abstract
:Background: Left atrial (LA) myopathy with paroxysmal and permanent atrial fibrillation (AF) is frequent in chronic coronary syndromes (CCS) but sometimes occult at rest and elicited by stress. Aim: This study sought to assess LA volume and function at rest and during stress across the spectrum of AF. Methods: In a prospective, multicenter, observational study design, we enrolled 3042 patients [age = 64 ± 12; 63.8% male] with known or suspected CCS: 2749 were in sinus rhythm (SR, Group 1); 191 in SR with a history of paroxysmal AF (Group 2); and 102 were in permanent AF (Group 3). All patients underwent stress echocardiography (SE). We measured left atrial volume index (LAVI) in all patients and LA Strain reservoir phase (LASr) in a subset of 486 patients. Results: LAVI increased from Group 1 to 3, both at rest (Group 1 = 27.6 ± 12.2, Group 2 = 31.6 ± 12.9, Group 3 = 43.3 ± 19.7 mL/m2, p < 0.001) and at peak stress (Group 1 = 26.2 ± 12.0, Group 2 = 31.2 ± 12.2, Group 3 = 43.9 ± 19.4 mL/m2, p < 0.001). LASr progressively decreased from Group 1 to 3, both at rest (Group 1 = 26.0 ± 8.5%, Group 2 = 23.2 ± 11.2%, Group 3 = 8.5 ± 6.5%, p < 0.001) and at peak stress (Group 1 = 26.9 ± 10.1, Group 2 = 23.8 ± 11.0 Group 3 = 10.7 ± 8.1%, p < 0.001). Stress B-lines (≥2) were more frequent in AF (Group 1 = 29.7% vs. Group 2 = 35.5% vs. Group 3 = 57.4%, p < 0.001). Inducible ischemia was less frequent in SR (Group 1 = 16.1% vs. Group 2 = 24.7% vs. Group 3 = 24.5%, p = 0.001). Conclusions: In CCS, rest and stress LA dilation and reservoir dysfunction are often present in paroxysmal and, more so, in permanent AF and are associated with more frequent inducible ischemia and pulmonary congestion during stress.
1. Introduction
Atrial fibrillation (AF) is common in patients with chronic coronary syndromes (CCS) or heart failure (HF), and its development is associated with a worse prognosis [1]. Left atrial (LA) myopathy is frequent in patients with paroxysmal or permanent AF [2]. Transthoracic echocardiography (TTE) detects LA myopathy through the combined assessment of LA volume index (LAVI) with two-dimensional echocardiography (2DE) and LA strain of the reservoir phase (LASr, also known as peak atrial longitudinal strain) with speckle-tracking echocardiography (STE) [3,4]. In patients with sinus rhythm (SR), a reduction of LASr is a predictor of incident future AF, stronger than LAVI dilation [5,6,7,8]. In principle, subtle forms of LA dysfunction are detectable during stress as a reduced functional LA reserve. LA abnormalities occult at rest can be unmasked as a stress-induced marked LAVI dilation or blunted LASr increase [9]. The present study hypothesis was that LA volume and function abnormalities absent at rest can be best appreciated with stress echocardiography (SE), and—in some patients—abnormalities present at rest can be normalized by stress administration eliciting an atrial functional reserve not utilized at rest. In this hypothesis-driven analysis of prospectively acquired data from accredited laboratories contributing to a multicenter international SE 2030 study [10], we assessed LAVI and (in a subset) LASr at rest and during stress in patients with SR without a history of AF, with SR with history of paroxysmal AF, and with permanent AF.
2. Methods
Patients. The initial population comprised 3214 patients prospectively enrolled at 40 cardiology institutions from 14 countries, with recruitment from 16 March 2016, to 16 March 2023 [10]. Of 3214 patients initially considered and present in the data bank, 32 (0.9%) were excluded for an unclear history of atrial fibrillation; 36 (1.1%) were excluded for inadequate imaging of rest LAVI; and 104 were excluded (3.2%) for missing LAVI data during stress. Of these 3042, LASr data at rest and peak stress were available in 486 patients. Indication for SE was the assessment of inducible ischemia in patients with known or suspected CCS. Exclusion criteria were a poor acoustic window at rest, clinically significant valvular or congenital heart disease, and prognostically relevant non-cardiac diseases (advanced cancer, end-stage renal disease, or severe obstructive pulmonary disease). All patients underwent transthoracic echocardiography (TTE) and SE with an assessment of LAVI (mandatory) and LASr (optional). The study protocol was reviewed and approved by the institutional ethics committees in its latest versions as a part of the more comprehensive SE 2020 study (148-Comitato Etico Lazio-1, 16 July 2016; Clinical trials.Gov Identifier NCT 030.49995) and SE 2030 study 291/294/295 Comitato Etico Lazio-1, 8 March 2021; Clinical trials.Gov Identifier NCT NCT050.81115) [10].
TTE. TTE was performed using commercially available ultrasound machines. All patients underwent TTE at rest, including ejection fraction (EF), and, in a subset of 1148 patients, global longitudinal strain (GLS). All measurements were taken by certified cardiologists according to the recommendations of the American Society of Echocardiography and the European Association of Cardiovascular Imaging [11].
SE. SE was performed according to current guidelines as previously detailed [12,13]. Wall motion score index (WMSI) was calculated in each patient at baseline and peak stress, in a four-point score ranging from 1 (normal) to 4 (dyskinetic), using a 17-segment model of the LV [14]. The ejection fraction was measured for apical biplane views with Simpson’s method. B-lines (also known as lung comets) were identified with lung ultrasound as vertical lines departing from the pleural line and synchronous with respiration. These were evaluated with a simplified four-site scan in the third intercostal space, from mid-axillary to anterior axillary to mid-clavicular line, each space scored from 0 (normal horizontal A-lines) to 10 (white lung), with a cumulative score per patient from 0 (normal) to 40 (severely abnormal). The procedure of acquisition was standardized between centers through a web-based learning module before starting data collection. All readers (one for each center) underwent quality control as previously described [15].
LA Measurements
LAVI was measured from apical four- and two-chamber views with the modified method of disks and normalized by the body surface area. LASr was measured by STE using frame rates from 40 to 80/s. The left atrial strain was calculated from either an apical four-chamber view (average from six LA segments) or combined four- and two-chamber views (average value from 12 LA segments) according to recommendations [16,17]. LASr was calculated from LV-end diastole, with R-wave as the zero-reference time point used as a surrogate of end-diastole, feasible also in AF, differently from the P wave convention. The first positive peak corresponds to the LA reservoir phase, and values are expressed as percentage points, algebraically positive. LAS-r corresponds to early diastole with maximum relaxation of its wall. LAS in the conduit phase and the atrial contraction phase were not included in the data set since LAS-r is more reproducible, easier to measure, and better represents the global function of the LA. Measurements were averaged over three cardiac cycles when the patient had SR and five cycles when there was AF.
Based on previously reported lower limits of reference values, we considered an abnormal LAVI value ≥ 34 mL/m2 and an abnormal LASr value < 24% [18]. Previous studies have shown that the normal stress response is characterized by a reduction or mild increase in LAVI during stress, with an increase of LASr [19,20,21].
Statistical analysis. All data are presented as mean ± SD, number (percentage), or median (interquartile range) as appropriate. Group differences were evaluated using the Student’s t-test for normally distributed continuous variables, the Mann-Whitney U test for skewed continuous variables, and the chi-square or Fisher’s exact tests for categorical variables. One-way analysis of variance or Kruskal-Wallis tests were used to compare >2 groups. When a significant difference was found, post hoc testing with Bonferroni comparisons for identified specific group differences was used. Paired Student’s t-tests or Wilcoxon tests were used to compare differences within groups. Pearson’s correlation coefficient was used to examine relationships between continuous variables. All analyses were two-sided. Statistical significance was set at p < 0.05. All statistical calculations were performed using SPSS for Windows, release 20.0 (Chicago, IL, USA).
3. Results
Accordingly, 3042 (1942 [63.8%] men; mean [±SD] age 64 ± 12 years) with interpretable LAVI formed the study group (Figure 1), with LASr data available in 486 (16.0%). The main clinical and resting echocardiographic features are reported in Table 1, with the overall population divided into SR without a history of AF (Group 1, n = 2749), SR with a history of paroxysmal AF (Group 2, n = 191), and permanent AF (Group 3, n = 102). We measured LAVI in all patients by selection and LASr in a subset of 486 (16.0%).
Resting TTE findings. The resting echocardiographic LV EF in the entire study group was 59.9 ± 9.6%, with higher values in patients in SR than those with permanent AF (Table 1). A significant intergroup gradient was observed for LAVI (smallest in SR), LASr (highest in SR), and B-lines (lowest in SR). LAVI was abnormal in 754 patients (24.7%) and LASr in 241 (46.3%), with a progressive increase in the prevalence of abnormal results from Group 1 to 3 (Table 1).
SE findings. The employed stresses were exercise (n = 1462; semisupine in 1250, peak or post-treadmill in 169, upright bicycle in 43), high-dose dobutamine (n = 417), or high-dose vasodilator (n = 1163; dipyridamole in 1137, adenosine in 26), based on the patient’s characteristics and laboratory expertise. The main SE findings are reported in Table 2. The Figure 2 shows an example of a patient from each of the three groups. A patient of Group 1 (left panel) shows a normal LA response during stress, with unchanged LAVI and LASr increase. A patient of Group 2 (middle panel) shows unchanged LAVI and LASr decrease during stress. A patient of Group 3 (right panel) shows a dilated LAV and reduced LASr, unchanged during stress.
An abnormal stress response for B-lines and inducible RWMA were more frequent in patients of Group 3 than in those of Group 2 and Group 1 (Table 2).
Considering the subset of 486 patients with complete LAVI and LASr data, there was a linear inverse relationship between LAVI and LASr, both at rest and during stress, considering the different stressors (Figure 3). The correlation remained significant considering patients with exercise (n = 252, at rest, r = −0.387, p < 0.001, at peak stress: r = −412, p < 0.001) and pharmacological stress (n = 234, at rest: r = −0.409, p < 0.001, at peak stress: r = −0.269, p < 0.001).
LAVI was normal at rest in 2290 patients and became abnormal during stress in 224 (9.8%). Of the 752 patients with abnormal LAVI at rest, 284 became normal during stress (37.8%), leading to a stress reclassification (from normal to abnormal, or vice-versa) in 508 patients (16.7%).
LASr was normal at rest in 253 patients and became abnormal during stress in 55 (21.7%). Of the 233 patients with abnormal LASr at rest, 71 became normal during stress (30.5%), leading to a stress reclassification (from normal to abnormal, or vice-versa) in 126 patients (25.9%).
4. Discussion
In this study, we assessed LAVI and (in a subset) LASr at rest and during stress in patients with CCS. We demonstrated that patients with AF had more frequent LA dilation and dysfunction at rest and during stress than patients with SR. Among patients with AF, LA dilation and dysfunction were more frequent and more severe in patients with permanent than in those with a history of paroxysmal AF but in SR at the time of testing. LA dysfunction was accompanied by more severe pulmonary congestion and regional wall motion abnormalities. SE led to a reclassification of LA (from normal to abnormal, or vice-versa) in 16.7% of patients by LAVI criteria and in 25.9% by LASr criteria.
4.1. Comparison with Previous Studies
Previous studies have shown that patients with AF exhibit LA dysfunction with increased LAVI and reduced LASr compared to controls without AF [22,23]. LA dilation is accompanied by LA dysfunction and a more profound functional impairment during stress, with more severe signs of pulmonary congestion [21]. Altogether, these data suggest that LA has an important impact on functional capacity, and early stages of LA dysfunction can be detected with a combination of LAVI and LASr. Multiple studies have analyzed the relevance of LAVI and LASr in AF patients, but fewer studies have assessed LAVI during stress, with a variety of different stressors combined with LASr with a multicenter design allowing enrollment of a large number of patients with different underlying comorbidities from different countries, who were evaluated with different stressors and involving different vendors. This heterogeneity is more likely to reflect real-world conditions and may increase the generalizability of the findings.
4.2. Clinical Implications
LAVI is now an integral part of the TTE data set in several conditions, from valvular heart disease to dilated or hypertrophic cardiomyopathy. These parameters can be obtained with little extra imaging and analysis time, not only at rest but also during stress in patients with CCS. LASr could be a valuable parameter added to volume data. LAVI and LASr provide a combined assessment of LA size and function, which are often uncoupled. LASr may help to identify an occult LA dysfunction not apparent at rest or reclassify as normal patients with alterations at rest.
4.3. Study Limitations
LASr required more advanced technology than 2DE and was an optional variable, available only in 16% of patients. LA strain of the reservoir phase was available only in a minority of patients, limiting the robustness of this information. LAVI was assessed by 2DE but is more accurately measured with real-time three-dimensional echocardiography and artificial intelligence [24]. LASr is the easiest and most reproducible parameter to characterize LA function, but further information can be derived from the assessment of conduit and contraction phases, which may provide incremental value over LASr in predicting newly onset AF [25]. In addition, the multicenter nature of the study allowed a multi-vendor assessment of LA function. LASr may show some inter-vendor variability [26]. However, the adopted cutoff values for abnormality have been validated across different vendors, and the inter-vendor variability does not apply to stress-rest variation evaluated in the same patient with the same vendor. We focused on LASr, but right atrial strain can be even more important for predicting AF [27]. The study design was observational, and many clinical variables known to affect LAVi and LASr could not be controlled in the three study groups of this cohort. Patients with permanent AF were clearly different from those with paroxysmal AF and sinus rhythm for several traits, including older age, larger body surface area, higher prevalence of hypertension, and more frequent beta-blocker treatment. The study groups varied in size, and the size differences might have affected the conducted statistical analysis. Rather than the mean group size, the power to detect group differences will track more closely the harmonic mean of the group sizes (which usually implies lower-than-expected statistical power). The observational study design does not allow us to discern the contributions of these potential confounders from the direct, specific effect of arrhythmic history. The information on the duration of AF was not available in most patients since the structure of the data bank represents a trade-off between the priority of simplicity and the need for completeness. It is possible that the severity of LAVI and LASr abnormalities are related to the duration of arrhythmia history. Still, this aspect could not be addressed from the present data set. We did not include patients with persistent AF, likely to fall closer to permanent rather than paroxysmal AF, since the total atrial fibrillation burden is associated with progressive LA structural remodeling and a decrease in LA reservoir function [28,29]. We did not have information on antiarrhythmic drugs other than beta-blockers in our data bank, not specifically focused on AF. We did not have access to information on catheter ablation procedures and intraprocedural data, which are potentially important since a reduced LASr is a predictor of AF recurrence after ablation independently of LAVI and AF subtype [30].
4.4. Conclusions
LA dilation and/or dysfunction are frequent in patients with AF and can be detected with resting TTE and SE with 2DE and STE. Both rest and stress LA abnormalities are more prevalent in patients with permanent than those with paroxysmal AF. However, patients with paroxysmal AF have more pronounced LA abnormalities than patients with SR. LA dysfunction is often accompanied by signs of pulmonary congestion during stress. Subtle forms of LA myopathy may be unmasked by SE in patients with paroxysmal or permanent AF.
Author Contributions
A.Z. originated idea, collected patients, prepared images and loops, and drafted the manuscript; M.R.R. made the data quality control and contributed to data analysis; Q.C. is the principal investigator of SE2030; P.A.P. served as the study co-chair, critically reviewed the protocol, helped to orient the data analysis, and critically revised the manuscript; E.P. served as the study chairman, designed the protocol, helped to orient the data analysis, and critically reviewed the manuscript; M.P. and S.C. are the President and President-elect of the SIECVI, the scientific society that endorsed, organized, and funded the study; A.P. made the final statistical analysis. All authors contributed to the study design, undertook the quality control up to certification, are actively recruiting members of the SE 2030 consortium, critically revised the manuscript for an intellectually important contribution, and approved the submitted version. All authors have read and agreed to the published version of the manuscript.
Funding
Travel, publication, and infrastructural funding from Società Italiana di Ecocardiografia e Cardiovascular Imaging (SIECVI).
Institutional Review Board Statement
The study was conducted in accordance with the Declaration of Helsinki. It was reviewed and approved by the institutional ethics committees in its latest versions as a part of the more comprehensive SE 2020 study (148-Comitato Etico Lazio-1, July 16, 2016; Clinical trials.Gov Identifier NCT 030.49995) and SE 2030 study 291/294/295 Comitato Etico Lazio-1, 8 March 2021; Clinical trials.Gov Identifier NCT NCT050.81115) [10].
Informed Consent Statement
Informed consent was obtained from all subjects involved in the study.
Data Availability Statement
The main data underlying this article are available in the article and its online supplementary material. The raw data underlying this article cannot be shared publicly due to the privacy of individuals who participated in the study. These data will be shared on reasonable request to the corresponding author.
Conflicts of Interest
The authors declare no conflict of interest.
Abbreviations
| AF | atrial fibrillation |
| CCS | chronic coronary syndromes |
| EF | ejection fraction |
| HR | hazard ratio |
| LA | left atrial |
| LASr | left atrial strain |
| LAVI | left atrial volume index |
| LV | left ventricle |
| RWMA | regional wall motion abnormality |
| SE | stress echocardiography |
| SR | sinus rhythm |
| STE | speckle tracking echocardiography |
| TTE | transthoracic echocardiography |
| 2DE | two-dimensional echocardiography |
| WMSI | wall motion score index |
Appendix A. Stress Echo 2030 Study Group
ARGENTINA: Cardiodiagnosticos, Investigaciones Medicas, Buenos Aires, Argentina: Jorge Lowenstein ([email protected]); Rosina Arbucci ([email protected]); Diego M. Lowenstein Haber ([email protected]); Sofia Marconi ([email protected]); Pablo M Merlo ([email protected])
Hospital Echocardiography Laboratory, Ramos Mejia Hospital, Buenos Aires, Argentina: Miguel Amor ([email protected]); Hugo Mosto ([email protected]); Michael Salamé ([email protected]); Patricia Carral ([email protected]); Germán Souto ([email protected])
División de Cardiología, Hospital de Clínicas José de San Martín, Buenos Aires, Argentina: Ariel Saad ([email protected])
BELGIUM: Department of Cardiology, Antwerp University Hospital, 2650 Edegem, Belgium: Caroline M. Van De Heyning ([email protected])
BOSNIA AND HERZEGOVINA: Clinic of Cardiovascular Diseases, University of Banja Luka University Clinical Centre of the Republic of Srpska: Miodrag Ostojic ([email protected]); Bojan Stanetic [email protected], Tamara Kovačević Preradović ([email protected])
BRAZIL: Cardiology Division, Hospital San José, Criciuma, Brasil: Clarissa Borguezan-Daros ([email protected])
Hospital de Clinicas UFPR, Medicine Department, Federal University of Paranà, Curitiba, Brasil: Ana Cristina Camarozano ([email protected])
BULGARIA: Heart and Brain Center of Excellence, University Hospital, Pleven, Bulgaria: Martina Samardjieva ([email protected]); Iana Simova ([email protected])
CHINA: Department of Cardiovascular Ultrasound and Non-invasive Cardiology, Sichuan Provincial People’s Hospital, China: Zhang Hongmei ([email protected]); Yi Wang ([email protected]); Ding Geqi ([email protected]); Key Laboratory of ultrasound in cardiac electrophysiology and biomechanics, the Affiliated Sichuan Provincial People’s Hospital of Electronic Science and Technology University of China, Chengdu, China: Zhang Qingfeng ([email protected])
Hebei, China: Yue Heng Wang ([email protected])
HUNGARY: Institute of Family Medicine, University of Szeged, Hungary: Albert Varga ([email protected]); Gergely Agoston ([email protected])
Second Department of Internal Medicine and Cardiology Center, University Hospital, Szeged, Hungary, and Elisabeth Hospital, Internal Medicine Department, Hódmezővásárhely, Hungary: Attila Palinkas ([email protected]); Robert Sepp ([email protected]); Eszter D. Palinkas ([email protected])
ISRAEL: Chief of Echocardiography Unit, Soroka University Medical Center, Israele: Sergio Kobal ([email protected])
ITALY: Cardiology Division, Fatebenefratelli Hospital, Benevento, Italy: Quirino Ciampi ([email protected]); Bruno Villari ([email protected])
Cardiology Department, San Luca Hospital, Lucca, Italy: Lauro Cortigiani ([email protected])
PO Umberto I°, Nocera Inferiore (ASL Salerno): Antonello D’Andrea ([email protected])
Cardiology Department, Parma University Hospital, Italy: Nicola Gaibazzi ([email protected]); Domenico Tuttolomondo ([email protected])
Department of Cardiology, Ospedale per gli Infermi, Faenza, Ravenna, Italy: Elisa Merli ([email protected])
Cardiothoracic Department, University of Pisa, Italy: Doralisa Morrone ([email protected])
SOD Diagnostica Cardiovascolare, DAI Cardio-Toraco-Vascolare, e Cardiomyopathy unit, Azienda Ospedaliera-Universitaria Careggi, Italy: Fabio Mori ([email protected]); Maria Grazia D’Alfonso ([email protected]); Iacopo Olivotto ([email protected]); Annamaria Del Franco ([email protected]);
Cardiology Department and Echocardiography Lab, University Hospital “San Giovanni di Dio e Ruggi d’Aragona,” Salerno, Italy: Rodolfo Citro ([email protected])
Azienda Ospedaliera Rilevanza Nazionale A. Cardarelli Hospital, Naples, Italy: Rosangela Cocchia ([email protected]); Eduardo Bossone ([email protected])
Villa Salus Foundation, IRCCS San Camillo Hospital, Venice, Italy: Fausto Rigo ([email protected])
ASST Santi Paolo e Carlo, Presidio Ospedale San Paolo, Milano: Francesca Bursi ([email protected])
Ospedale San Camillo, Cardiology Division, Rome, Italy: Federica Re ([email protected])
Cardiology Hospital, Policlinico University Hospital of Bari, Italy: Paolo Colonna ([email protected]); Ilaria Dentamaro ([email protected])
Cardiology Division, San Carlo Hospital, Potenza, Italy: Marco Fabio Costantino ([email protected])
Ospedale Moscati Avellino, Cardiology Division: Avellino, Italy: Fiorenzo Manganelli ([email protected])
LITHUANIA: Celutkiene Centre of Cardiology and Angiology, Clinic of Cardiac and Vascular Diseases, Faculty of Medicine, Institute of Clinical Medicine, Vilnius University, LT-03101 Vilnius, Lithuania: Jelena Celutkiene ([email protected])
MEXICO: Instituto Nacional de Cardiologia Ignacio Chavez, Mexico City, Mexico: Hugo Rodriguez-Zanella ([email protected])
POLAND: Department of Internal Disease and Clinical Pharmacology, Lodz, Poland: Karina Wierzbowska-Drabik ([email protected])
Chair of Cardiology, Bieganski Hospital, Medical University, Lodz, Poland: Jaroslaw D. Kasprzak ([email protected])
University of Silesia, Cardiology Department, Katowice, Poland: Prof. Maciej Haberka ([email protected])
RUSSIA: Cardiology Research Institute, Tomsk National Research Medical Centre of the Russian Academy of Sciences, Tomsk, Russia: Tamara Ryabova ([email protected]); Alexander Vrublevsky ([email protected]); Alla Boshchenko ([email protected])
Department of Internal Medicine with a Course in Cardiology and Functional Diagnostics at the Medical Institute of the Peoples’ Friendship University of Russia, Moscow: Ayten Safarova ([email protected]); Tatiana Timofeeva ([email protected])
Cardiology Department, Research Cardiology Center “Medika,” Saint Petersburg, Russian Federation: Angela Zagatina ([email protected])
SERBIA: Department of Noninvasive Cardiology, Institute for Cardiovascular Diseases, Dedinje, School of Medicine, Belgrade, Serbia: Aleksandra Nikolic ([email protected]);
Clinical Cardiology Department, Clinical Hospital Zvezdara, Medical School, University of Belgrade, Serbia: Milica Dekleva ([email protected])
Cardiology Clinic, University Center Serbia, Medical School, University of Belgrade, Serbia: Ana Djordievic-Dikic ([email protected]); Nikola Boskovic ([email protected]); Vojislav Giga ([email protected]); Milorad Tesic ([email protected]); Srdjan Dedic; Branko Beleslin ([email protected])
SPAIN: CHUAC: Complexo Hospitalario Universitario A Coruna- University of A Coruna, La Coruna, Spain: Jesus Peteiro Vazquez ([email protected])
THAILANDIA: Division of Cardiology, Department of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand: Nithima Chaowalit Ratanasit ([email protected])
USA: Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA: Patricia A Pellikka ([email protected]); Adelaide M. Arruda-Olson ([email protected]); Ratnasari Padang ([email protected]); Garvan C. Kane ([email protected]); Hector R. Villarraga ([email protected])
SIECVI-MAYO core team: Eugenio Picano (Chairman, [email protected]); Patricia A. Pellikka (Co-chair, [email protected]); Quirino Ciampi (Principal Investigator, [email protected]); Ylenia Bartolacelli (Paediatric Cardiology and Adult Congenital Heart Disease Unit, S. Orsola-Malpighi Hospital, Bologna, Italy [email protected]); Andrea Barbieri (REDCap for Data Archiving, [email protected]); Giovanni Benfari (University of Verona, Verona, Italy: [email protected]); Mauro Pepi (SIECVI President, [email protected]); Scipione Carerj (SIECVI President-elect [email protected]).
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Figure 1.
Consort Diagram Flow diagram showing how many individuals were excluded at each step (LAVI miss, LASr miss, unclear history of AF).
Figure 1.
Consort Diagram Flow diagram showing how many individuals were excluded at each step (LAVI miss, LASr miss, unclear history of AF).
Figure 2.
On the left, the normal response in a patient in SR showing a normal pattern, with small increase of LAV (48 mL rest, 54 mL stress) and increase of LASr (26% rest, 31% stress) during exercise. In the middle, a patient in SR but with a history of paroxysmal AF showing unchanged LAV (44 mL rest, 45 mL stress) and LASr decrease (29% rest, 21% stress) during exercise. On the right, a patient in permanent AF showing a near-normal LAV (74 mL rest, 59 mL stress) and severe reduction of LASr (8% rest, 11% stress) at rest and during exercise.
Figure 2.
On the left, the normal response in a patient in SR showing a normal pattern, with small increase of LAV (48 mL rest, 54 mL stress) and increase of LASr (26% rest, 31% stress) during exercise. In the middle, a patient in SR but with a history of paroxysmal AF showing unchanged LAV (44 mL rest, 45 mL stress) and LASr decrease (29% rest, 21% stress) during exercise. On the right, a patient in permanent AF showing a near-normal LAV (74 mL rest, 59 mL stress) and severe reduction of LASr (8% rest, 11% stress) at rest and during exercise.
Figure 3.
Scattergram of the patients with LAVI and LASr data at rest (left panel) and during stress (right panel), divided according to the stressors used (black: exercise; green: vasodilator; red: dobutamine).
Figure 3.
Scattergram of the patients with LAVI and LASr data at rest (left panel) and during stress (right panel), divided according to the stressors used (black: exercise; green: vasodilator; red: dobutamine).
Table 1.
Clinical and rest TTE findings in the study population.
| Overall (n = 3042) | SR (n = 2749) | Paroxysmal AF (n = 191) | Permanent AF (n = 102) | p-Value | |
|---|---|---|---|---|---|
| Age | 64 ± 12 | 63 ± 13 *^ | 69 ± 9 * | 73 ± 8 | <0.001 |
| Male sex | 1942 (63.8%) | 1759 (64.0%) | 118 (61.8%) | 65 (63.7%) | 0.828 |
| BSA (m2) | 1.89 ± 0.47 | 1.89 ± 0.49 | 1.91 ± 0.20 | 1.92 ± 0.20 | 0.048 |
| Hypertension, n (%) | 2391 (78.6%) | 2125 (77.3%) * | 174 (91.1%) * | 92 (90.2%) | <0.001 |
| Diabetes, n (%) | 667 (21.9%) | 599 (21.8%) | 45 (23.6%) | 23 (22.5%) | 0.839 |
| LBBB, n (%) | 165 (5.5%) | 147 (5.5%) | 9 (4.9%) | 9 (9.2%) | 0.509 |
| BB-therapy, n (%) | 1658 (54.5%) | 1422 (51.7%) *^ | 158 (82.7%) * | 78 (76.5%) | <0.001 |
| HR (bpm) | 69.3 ± 12.2 | 69.0 ± 11.9 * | 67.4 ± 11.4 * | 80.5 ± 16.6 | <0.001 |
| SBP (mmHg) | 130.2 ± 18.4 | 130.1 ± 18.3 | 131.5 ± 17.5 | 129.5 ± 20.5 | 0.564 |
| DBP (mmHg) | 78.0 ± 10.8 | 77.8 ± 10.7 | 79.5 ± 10.6 | 79.6 ± 13.7 | 0.033 |
| Previous MI | 799 (26.3%) | 732 (26.6%) | 43 (22.5%) | 24 (23.5%) | 0.374 |
| PCI/CABG, n (%) | 855 (28.1%) 200(6.6%) | 786 (28.6%) 175 (6.4%) | 44 (23.0%) 15 (7.9%) | 25 (24.5%) 10 (9.8%) | 0.453 |
| LAVI (mL/m2) | 28.3 ± 12.9 | 27.6 ± 12.2 *^ | 31.6 ± 12.9 * | 43.3 ± 19.7 | <0.001 |
| LAVI > 34 (mL/m2) | 752 (24.7%) | 617 (22.4%) *^ | 70 (36.6%) * | 65 (63.7%) | <0.001 |
| LASr (%) | 25.0 ± 9.4 | 26.0 ± 8.5 *^ | 23.2 ± 11.2 * | 8.5 ± 6.5 | <0.001 |
| LASr < 24% | 233 (47.9%) | 181 (42.6%) *^ | 28 (71.8%) * | 24 (100%) | <0.001 |
| EF at rest (%) | 59.9 ± 9.6 | 60.1 ± 9.6 * | 61.2 ± 9.1 * | 53.7 ± 11.1 | <0.001 |
| WMSI | 1.12 ± 0.30 | 1.11 ± 0.29 * | 1.12 ± 0.29 * | 1.23 ± 0.42 | 0.001 |
| B-lines ≥ 2 | 537 (18.6%) | 454 (17.5%) *^ | 39 (20.4%) * | 44 (43.6%) | <0.001 |
| GLS (%) | −17.3 ± 4.1 | −17.5 ± 3.9 * | −17.4 ± 3.9 * | −12.7 ± 4.5 | <0.001 |
| MR ≥ moderate | 159 (7.4%) | 127 (6.6%) *^ | 16 (11.0%) * | 16 (20.3%) | <0.001 |
| E/e’ (n = 1552) | 10.8 ± 5.0 | 10.5 ± 4.8 *^ | 12.1 ± 5.7 * | 15.5 ± 6.5 | 0.001 |
| E/e’ > 15 | 224 (14.4%) | 172 (12.5%) * | 27 (22.9%) * | 25 (43.9%) | <0.001 |
| SPAP (n = 1349) | 24.2 ± 10.6 | 23.7 ± 10.4 * | 25.7 ± 9.3 * | 32.2 ± 12.4 | 0.001 |
Abbreviations: AF: atrial fibrillation; BB: beta-blockers; BSA, body surface area; CABG: coronary artery by-pass grafting; DBP: diastolic blood pressure; EF: ejection fraction; GLS: global longitudinal strain; HR: heart rate, bpm: beats per minute; LASr, left atrial strain-reservoir phase; LAVI, left atrial volume index; LBBB: left bundle branch block; MI, myocardial infarction; MR, mitral regurgitation; PCI: percutaneous coronary intervention; SBP: systolic blood pressure; SPAP, systolic pulmonary artery pressure; SR: sinus rhythm; WMSI: wall motion score index; * p < 0.005 vs. Permanent AF, ^ p < 0.005 vs. Paroxysmal AF.
Table 2.
SE findings in the study population.
| Overall (n = 3042) | SR (n = 2749) | Paroxysmal AF (n = 191) | Permanent AF (n = 102) | p-Value | |
|---|---|---|---|---|---|
| Exercise | 1462 (48.1%) | 1305 (47.5%) | 98 (51.3%) | 59 (57.8%) | 0.175 |
| Dobutamine | 417 (13.7%) | 378 (13.8%) | 29 (15.2%) | 10 (9.8%) | |
| Vasodilator | 1163 (38.2%) | 1066 (38.8%) | 64 (33.5%) | 33 (32.4%) | |
| LAVI (mL/m2) | 27.1 ± 12.8 | 26.2 ± 12.0 *^ | 31.2 ± 12.2 * | 43.9 ± 19.4 | <0.001 |
| LAVI > 34 (mL/m2) | 692 (22.7%) | 555 (20.2%) *^ | 65 (34.0%) * | 72 (70.6%) | <0.001 |
| LAVI-dilators | 385 (12.7%) | 332 (12.1%) *^ | 29 (15.2%) * | 24 (23.5%) | 0.002 |
| LASr (%) | 25.8 ± 10.8 | 26.9 ± 10.1 *^ | 23.8 ± 11.0 * | 10.7 ± 8.1 | <0.001 |
| LASr < 24% | 217 (44.7%) | 173 (40.9%) *^ | 23 (59.0%) * | 21 (87.5%) | <0.001 |
| dLASr (%) | 7.23 ± 10.02 | 7.48 ± 9.77 *^ | 5.68 ± 9.61* | 3.38 ± 15.12 | <0.001 |
| LASr-reducers | 149 (30.7%) | 125 (29.6%)*^ | 14 (35.6%)* | 10 (41.7%) | 0.353 |
| EF (%) | 67.6 ± 12.1 | 67.9 ± 11.9* | 67.3 ± 11.6* | 59.7 ± 15.5 | <0.001 |
| WMSI | 1.14 ± 0.32 | 1.14 ± 0.31 * | 1.17 ± 0.36 * | 1.32 ± 0.53 | <0.001 |
| dWMSI | 0.034 ± 0.22 | 0.030 ± 0.22 * | 0.053 ± 0.18 * | 0.083 ± 0.36 | 0.027 |
| GLS (%) | −18.5 ± 4.8 | −18.7 ± 4.7 * | −19.2 ± 4.1 * | −12.2 ± 4.7 | <0.001 |
| B-lines ≥ 2 | 885 (31%) | 762 (29.7%) * | 65 (35.5%) * | 58 (57.4%) | <0.001 |
| MR ≥ moderate | 134 (7.6%) | 111 (7.1%) * | 10 (8.5%) * | 13 (19.1%) | <0.001 |
| E/e’ (n = 1432) | 10.8 ± 4.7 | 10.4 ± 4.3 *^ | 12.5 ± 5.6 * | 15.7 ± 6.1 | 0.001 |
| E/e’ > 15 | 200 (14.0%) | 144 (11.4%) *^ | 29 (25.4%) * | 27 (49.1%) | <0.001 |
| SPAP (n = 1116) | 35.1 ± 16.8 | 34.3 ± 16.8 * | 39.4 ± 16.1 | 46.1 ± 13.3 | 0.001 |
Abbreviations: as in Table 1. LAVI-dilators: an increase (stress > rest) ≥ 20% with absolute stress value > 34 mL/m2. LASr-reducers: a decrease (stress < rest) ≥ 20% with absolute stress value < 24%. EF reducers: stress < rest; GLS decreaser: stress < rest; WMSI-increaser: stress < rest for > 0.12. LAVI, EF, and WMSI, data were available in all patients (100%); B-lines in 2851 (93.7%); LASr in 486 patients (16.0%); GLS in 1148 (37.7%). * p < 0.005 vs. Permanent AF, ^ p < 0.005 vs. Paroxysmal AF.
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Zagatina, A.; Rivadeneira Ruiz, M.; Ciampi, Q.; Wierzbowska-Drabik, K.; Kasprzak, J.; Kalinina, E.; Begidova, I.; Peteiro, J.; Arbucci, R.; Marconi, S.; et al. Rest and Stress Left Atrial Dysfunction in Patients with Atrial Fibrillation. J. Clin. Med. 2023, 12, 5893. https://doi.org/10.3390/jcm12185893
AMA Style
Zagatina A, Rivadeneira Ruiz M, Ciampi Q, Wierzbowska-Drabik K, Kasprzak J, Kalinina E, Begidova I, Peteiro J, Arbucci R, Marconi S, et al. Rest and Stress Left Atrial Dysfunction in Patients with Atrial Fibrillation. Journal of Clinical Medicine. 2023; 12(18):5893. https://doi.org/10.3390/jcm12185893
Chicago/Turabian StyleZagatina, Angela, Maria Rivadeneira Ruiz, Quirino Ciampi, Karina Wierzbowska-Drabik, Jaroslaw Kasprzak, Elena Kalinina, Irina Begidova, Jesus Peteiro, Rosina Arbucci, Sofia Marconi, and et al. 2023. "Rest and Stress Left Atrial Dysfunction in Patients with Atrial Fibrillation" Journal of Clinical Medicine 12, no. 18: 5893. https://doi.org/10.3390/jcm12185893
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