Acute coronary syndrome (ACS) significantly impacts global morbidity and mortality, traditionally emphasizing left ventricular (LV) dysfunction. However, the prognostic importance of right ventricular (RV) dysfunction remains underexplored. Cardiac magnetic resonance (CMR), the gold standard for RV assessment, enables precise evaluation of ventricular function and structure. We conducted a retrospective cohort study of 268 patients with ACS who underwent CMR between January 2020 and December 2022 at the National Institute of Cardiology Ignacio Chavez. RV dysfunction was defined as RV ejection fraction (RVEF) <50% by CMR. Multivariate logistic regression identified factors associated with RV dysfunction. RV dysfunction occurred in 170 patients (63.4%). Compared to those without RV dysfunction, patients with RV dysfunction were more likely to be male (84% vs 70%, p = 0.011) and smokers (66% vs 51%, p = 0.017). These patients exhibited reduced LV ejection fraction (39% vs 44%, p < 0.001), higher end-systolic and end-diastolic volumes, and reduced RV fractional area change (42% vs 45%, p = 0.004). BMI (OR 1.13, 95% CI 1.04-1.24, p = 0.008) and mitral regurgitation (OR 5.40, 95% CI 1.47–27, p = 0.020) were independently associated with RV dysfunction. Although mortality was higher among patients with RV dysfunction (3.5% vs 1%), it was not statistically significant (p = 0.4). In conclusion RV dysfunction is common in ACS and it is independently associated with increased BMI and mitral regurgitation. CMR evaluation of RV function in ACS patients may be considered to enhance clinical outcomes. Future research should explore targeted therapeutic interventions for RV dysfunction.
Graphical Abstract
Acute coronary syndrome (ACS), a clinical term encompassing unstable angina, non-ST-elevation myocardial infarction (NSTEMI), and ST-elevation myocardial infarction (STEMI), remains a leading cause of morbidity and mortality globally. The World Health Organization (WHO) estimates that ischemic heart disease accounts for over 9 million deaths annually, underscoring the importance of timely and accurate management of ACS. Although the left ventricle (LV) plays a critical role in systemic circulation, the right ventricle (RV) is now recognized as a key player in determining clinical outcomes following ACS, particularly when RV dysfunction is present.
Historically, RV dysfunction has been underappreciated due to the technical challenges in its evaluation. However, RV involvement in ACS, particularly in the context of right coronary artery occlusion, has profound implications. RV infarction has been associated with increased in-hospital mortality, cardiogenic shock, and mechanical complications. Evidence highlights that RV dysfunction correlates with worse clinical outcomes, including heart failure and long-term mortality.
Cardiac magnetic resonance (CMR) is the gold standard for evaluating both LV and RV function, providing high-resolution imaging and accurate quantification of ejection fraction, chamber volumes, and tissue characterization. Compared to traditional echocardiography, CMR provides a more accurate assessment of the RV, owing to its ability to visualize the entire chamber and account for its complex geometry. Moreover, CMR allows the evaluation of myocardial fibrosis, infarct size, and viability, providing additional insights into the structural and functional consequences of ACS on the heart.
Although numerous studies have explored LV dysfunction in ACS, relatively few have focused on RV dysfunction, despite its growing recognition as an important prognostic factor. The present study seeks to bridge this gap by evaluating RV function in ACS using CMR and identifying clinical and echocardiographic correlates of RV dysfunction.
Methods
Study design and population
This retrospective cohort study included 268 consecutive patients diagnosed with ACS (unstable angina, NSTEMI, or STEMI) who underwent CMR during hospitalization between January 2020 and December 2022 at the National Institute of Cardiology Ignacio Chavez. The inclusion criteria were confirmed diagnosis of ACS based on clinical presentation, electrocardiography (ECG), and troponin levels, and additionally availability of CMR data. Echocardiographic parameters were recorded only for the patients who had undergone transthoracic echocardiography as part of their clinical evaluation. Patients with congenital heart disease, severe valvular disease, or prior myocardial infarction were excluded. The authors confirm that patient consent is not applicable to this article. This is a retrospective study using deidentified data; therefore, the IRB did not require consent from the patient.
Definition of RV dysfunction
RV dysfunction was defined as a RV ejection fraction (RVEF) <50%, measured using CMR, following standard guidelines for the quantification of ventricular volumes and ejection fraction. Although other studies define moderate or severe RV dysfunction at lower cut-offs (<40%–45%), we chose 50% as a conservative threshold to enhance sensitivity for detecting early or mild RV impairment in the ACS setting.
Data collection
Clinical, cardiac magnetic resonance imaging, and echocardiographic data were collected from electronic medical records.
Clinical characteristics
The primary variables of interest included age, sex, body mass index (BMI) comorbidities, clinical characteristics of the ACS (type of ACS, coronary artery affected), troponin, NT-proBNP, complications, clinical outcomes. Timing variables included the interval from hospital admission to catheterization, admission to echocardiography and admission to CMR.
Cardiac magnetic resonance imaging
CMR was performed using a 1.5 Tesla Siemens Magneton Avanto scanner (Erlangen, Germany), employing standard cardiac function protocols with cine TrueFISP sequences. Imaging slices ranged between 8 and 11, depending on ventricular size, with a slice thickness of 8 mm and an interslice gap of 10%. In patients with arrhythmias, a dedicated arrhythmia sequence was applied, and in those unable to hold their breath, the number of averages was increased up to 4 to allow cine imaging during free breathing. For cases with extreme arrhythmia, real-time cine sequences were employed to evaluate ejection fraction by separately summing end-diastolic and end-systolic volumes. Ejection fraction was processed on a cardiac-dedicated workstation using the Leo software and independently assessed by 2 expert observers. CMR parameters included LVEF, RVEF, end diastolic volume (EDV) and end systolic volume (ESV).
Echocardiographic assessment
Echocardiograms were performed using a Siemens-Acuson SC2000 echocardiogram equipped with a 4 MHz phased array transducer capable of M-mode, color Doppler, and 3D imaging. Echocardiographic parameters such as LV ejection fraction and RV parameters such as tricuspid annular plane systolic excursion (TAPSE), fractional area change (RV-FAC), S wave and atrio-ventricular valvular regurgitation were recorded following the recommendations for cardiac chamber quantification in adults as outlined by Lang RM et al.
Follow-up
Clinical follow-up was conducted for up to 2 years after the index ACS event. Follow-up data were obtained from electronic medical records and outpatient clinic visits. The primary follow-up endpoints included all-cause mortality, incident heart failure, and stroke. Incident heart failure was defined as the new clinical diagnosis of heart failure documented during hospitalization or follow-up, based on symptoms, physical examination, and objective evidence of structural or functional cardiac abnormality consistent with current ESC guidelines, irrespective of ejection fraction category. Follow-up was censored at the date of the last available clinical evaluation or documentation of an event.
Statistical analysis
All statistical procedures were prospectively defined and performed with R software (version 4.4.1; R Foundation for Statistical Computing). Statistical significance was set at a 2-sided p < 0.05; corresponding 95 % confidence intervals (CI) are reported where appropriate.
Descriptive statistics and group comparisons
Patients were stratified according to RV systolic function on cardiovascular magnetic resonance imaging CMR, with RV dysfunction defined as a right-ventricular ejection fraction (RVEF) < 50 %. Distributions of continuous variables were examined with the Shapiro–Wilk test. Because not all variables met the assumption of normality, continuous data are presented as median and interquartile range (IQR) and compared between groups with the Wilcoxon rank-sum (Mann–Whitney U ) test. Categorical variables are expressed as number (percentage) and compared with Pearson’s χ² test; Fisher’s exact test was substituted when any expected cell count was < 5. The same analytic framework was applied to the echocardiographic subcohort (160/268 patients with complete studies).
Multivariable modelling of RV dysfunction
To identify variables independently associated with RV dysfunction, we fitted a logistic-regression model. Candidate covariates comprised all variables exhibiting p < 0.10 on univariable testing together with clinically important factors specified a priori, including demographics (age, sex, BMI), cardiovascular risk factors (hypertension, diabetes, dyslipidemia, smoking), measures of ACS severity (Killip–Kimball class, GRACE, TIMI scores), in‐hospital complications (ventricular septal defect, mitral regurgitation, ventricular rupture, pericardial effusion), and CMR metrics (LVEF, EDV, ESV). Backward stepwise elimination was applied with a retention threshold of p < 0.05. Collinearity was assessed by variance-inflation factors (VIF); values > 3 prompted removal of the redundant covariate. Model calibration was examined with the Hosmer–Lemeshow goodness-of-fit test. Results are reported as odds ratios (OR) with 95% CI.
Analysis of clinical outcomes
All-cause mortality, incident heart failure, and stroke were evaluated as dichotomous outcomes during the prespecified follow-up period. Owing to the low event rates and absence of precise event-time data, only crude incidences were compared between RV-dysfunction strata using χ² or Fisher’s exact tests, without construction of time-to-event models.
Results
Of the 268 patients included in the study, the median age was 58 years, with 79% being male. RV dysfunction, defined as an RVEF <50% on CMR, was present in 170 patients (63.4%). Patients with RV dysfunction were more likely to be male (84% vs 70%, p = 0.011), current smokers (66% vs 51%, p = 0.017) and increased body mass index (27.0 vs 25.5, p = 0.048). An increased NT-ProBNP was also observed in the RV dysfunction group (1215 vs 1053, p = 0.020).
ACS presentation was predominantly STEMI in both groups; however, there was a trend towards more frequent NSTEMI in the RV-sparing group, Table 1 .
Table 1
Sociodemographic and clinical characteristics
| Characteristic |
Overall,
N = 268 |
RV spared,
N = 98 |
RV affected, N = 170 | p-value |
|---|---|---|---|---|
| Age | 58 (51, 66) | 58 (51, 68) | 59 (50, 65) | 0.8 |
| Male sex | 211 (79%) | 69 (70%) | 142 (84%) | 0.011 |
| BMI (kg/m²) | 27.0 (24.0, 29.0) | 25.5 (24.0, 28.0) | 27.0 (25.0, 30.0) | 0.048 |
| Hypertension | 113 (42%) | 48 (49%) | 65 (38%) | 0.086* |
| Diabetes | 106 (40%) | 40 (41%) | 66 (39%) | 0.7 |
| Dyslipidemia | 69 (26%) | 27 (28%) | 42 (25%) | 0.6 |
| Current smoker | 162 (60%) | 50 (51%) | 112 (66%) | 0.017 |
| Prior valvular disease | 0.008 | |||
| None | 154 (57%) | 67 (68%) | 87 (51%) | |
| Mitral | 58 (22%) | 13 (13%) | 45 (26%) | |
| Aortic | 6 (2.2%) | 4 (4.1%) | 2 (1.2%) | |
| Tricuspid | 48 (18%) | 14 (14%) | 34 (20%) | |
| Pulmonary | 2 (0.7%) | 0 (0%) | 2 (1.2%) | |
| Acute coronary syndrome | 0.5 | |||
| Unstable angina | 12 (4.5%) | 3 (3.1%) | 9 (5.3%) | |
| NSTEMI | 50 (19%) | 21 (21%) | 29 (17%) | |
| STEMI | 206 (77%) | 74 (76%) | 132 (78%) | |
| Complications during hospitalization | 0.018 | |||
| None | 139 (52%) | 58 (59%) | 81 (48%) | |
| Ventricular septal defect | 5 (1.9%) | 1 (1.0%) | 4 (2.4%) | |
| Mitral regurgitation | 31 (12%) | 4 (4.1%) | 27 (16%) | |
| Ventricular rupture | 2 (0.7%) | 1 (1.0%) | 1 (0.6%) | |
| Pericardial effusion | 91 (34%) | 34 (35%) | 57 (34%) | |
| High-sensitivity cardiac troponin T (ng/l) | 1,996 (327, 6,418) | 2,533 (384, 6,445) | 1,693 (297, 6,418) | 0.7 |
| NT-proBNP (pg/mL) | 1,196 (309, 3,785) | 1,053 (312, 2,862) | 1,215 (295, 4,450) | 0.020 |
| Coronary artery territory | < 0.001 | |||
| Circumflex artery | 26 (9.7%) | 9 (9.2%) | 17 (10%) | |
| Right coronary artery | 71 (26%) | 16 (16%) | 55 (32%) | |
| Left anterior descending artery | 155 (58%) | 73 (74%) | 82 (48%) | |
| Two territories | 12 (4.5%) | 0 (0%) | 12 (7.1%) | |
| Trivascular disease | 4 (1.5%) | 0 (0%) | 4 (2.4%) | |
| Timing variables (days) | ||||
| Admission to catheterization | 1 (0, 3) | 1 (0, 3) | 1 (0, 3) | 0.5 |
| Admission to CMR | 2 (1, 5) | 2 (1, 5) | 3 (1, 5) | 0.7 |
| Admission to echocardiogram | 1 (1, 3) | 1 (0, 2) | 1 (1, 4) | 0.3 |
| Cardiac magnetic resonance | ||||
| LVEF (%) | 41 (30, 50) | 44 (34, 53) | 39 (28, 47) | < 0.001 |
| ESV (mL) | 71 (50, 96) | 61 (44, 84) | 75 (52, 107) | < 0.001 |
| EDV (mL) | 122 (97, 150) | 110 (91, 131) | 128 (102, 161) | < 0.001 |
| RVEF (%) | 45 (36, 52) | 56 (52, 59) | 38 (33, 45) | < 0.001 |
| Microvascular obstruction | 179 (67%) | 70 (71%) | 109 (64%) | 0.2 |
| Intramyocardial hemorrhage | 111 (41%) | 44 (45%) | 67 (39%) | 0.4 |
| Transmural infarction | 243 (91%) | 87 (89%) | 156 (92%) | 0.4 |
| Myocardial viability | 80 (30%) | 24 (24%) | 56 (33%) | 0.15 |
| Echocardiogram ( n = 160) | ||||
| LVEF (%) | 44 (34, 54) | 47 (39, 54) | 43 (32, 53) | 0.022 |
| RV fractional area change | 43 (35, 50) | 45 (40, 50) | 42 (33, 49) | 0.004 |
| Tricuspid annular plane systolic excursion (TAPSE) | 19.0 (17.0, 21.0) | 19.0 (18.0, 21.0) | 18.0 (17.0, 21.0) | 0.068* |
| S Wave | 11.00 (9.80, 12.80) | 11.00 (10.00, 14.00) | 10.80 (9.34, 12.10) | 0.3 |
| Clinical outcomes | ||||
| Death | 7 (2.6%) | 1 (1%) | 6 (3.5%) | 0.4 |
| Heart failure | 119 (44%) | 41 (42%) | 78 (46%) | 0.5 |
| Stroke | 2 (0.7%) | 1 (1%) | 1 (0.5%) | > 0.9 |
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