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Myasoedova VA, Chiesa M, Cosentino N, Bonomi A, Ludergnani M, Bozzi M, Valerio V, Moschetta D, Massaiu I, Mantegazza V, Marenzi G, Poggio P. Non-stenotic fibro-calcific aortic valve as a predictor of myocardial infarction recurrence. Eur J Prev Cardiol 2024:zwae062. [PMID: 38365224 DOI: 10.1093/eurjpc/zwae062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 02/07/2024] [Accepted: 02/12/2024] [Indexed: 02/18/2024]
Abstract
BACKGROUND Patients with acute myocardial infarction (AMI) are at increased risk of recurrent cardiovascular events. Non-stenotic aortic valve fibro-calcific remodeling (AVSc), reflecting systemic damage, may serve as a new marker of risk. OBJECTIVES To stratify subgroups of AMI patients with specific probabilities of recurrent AMI and to evaluate the importance of AVSc in this setting. METHODS Consecutive AMI patients (n = 2530) were admitted at Centro Cardiologico Monzino (2010-2019) and followed up for 5 years. Patients were divided into study (n = 1070) and test (n = 966) cohorts. Topological data analysis (TDA) was used to stratify patient subgroups, while Kaplan-Meier and Cox regressions analyses were used to evaluate the significance of baseline characteristics. RESULTS TDA identified 11 subgroups of AMI patients with specific baseline characteristics. Two subgroups showed the highest rate of reinfarction after 5 years from the indexed AMI with a combined hazard ratio (HR) of 3.8 (95%CI: 2.7-5.4) compared to the other subgroups. This was confirmed in the test cohort (HR = 3.1; 95%CI: 2.2-4.3). These two subgroups were mostly men, with hypertension and dyslipidemia, who exhibit higher prevalence of AVSc, higher levels of high-sensitive c-reactive protein and creatinine. In the year-by-year analysis, AVSc, adjusted for all confounders, showed an independent association with the increased risk of reinfarction (odds ratio of ∼2 at all time-points), in both the study and the test cohorts (all p < 0.01). CONCLUSIONS AVSc is a crucial variable for identifying AMI patients at high risk of recurrent AMI and its presence should be considered when assessing the management of AMI patients. The inclusion of AVSc in risk stratification models may improve the accuracy of predicting the likelihood of recurrent AMI, leading to more personalized treatment decisions.
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Affiliation(s)
| | - Mattia Chiesa
- Centro Cardiologico Monzino, IRCCS, Milan Italy
- Department of Electronics, Information and Biomedical engineering, Politecnico di Milano, Milan, Italy
| | - Nicola Cosentino
- Centro Cardiologico Monzino, IRCCS, Milan Italy
- Department of Clinical Sciences and Community Health, Cardiovascular Section, University of Milan, Milan, Italy
| | | | | | | | | | | | | | - Valentina Mantegazza
- Centro Cardiologico Monzino, IRCCS, Milan Italy
- Department of Clinical Sciences and Community Health, Cardiovascular Section, University of Milan, Milan, Italy
| | | | - Paolo Poggio
- Centro Cardiologico Monzino, IRCCS, Milan Italy
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milano, Italy
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Piacentini L, Myasoedova VA, Chiesa M, Vavassori C, Moschetta D, Valerio V, Giovanetti G, Massaiu I, Cosentino N, Marenzi G, Poggio P, Colombo GI. Whole-Blood Transcriptome Unveils Altered Immune Response in Acute Myocardial Infarction Patients With Aortic Valve Sclerosis. Arterioscler Thromb Vasc Biol 2024; 44:452-464. [PMID: 38126173 PMCID: PMC10805353 DOI: 10.1161/atvbaha.123.320106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Accepted: 12/08/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND Aortic valve sclerosis (AVSc) presents similar pathogenetic mechanisms to coronary artery disease and is associated with short- and long-term mortality in patients with coronary artery disease. Evidence of AVSc-specific pathophysiological traits in acute myocardial infarction (AMI) is currently lacking. Thus, we aimed to identify a blood-based transcriptional signature that could differentiate AVSc from no-AVSc patients during AMI. METHODS Whole-blood transcriptome of AVSc (n=44) and no-AVSc (n=66) patients with AMI was assessed by RNA sequencing on hospital admission. Feature selection, differential expression, and enrichment analyses were performed to identify gene expression patterns discriminating AVSc from no-AVSc and infer functional associations. Multivariable Cox regression analysis was used to estimate the hazard ratios of cardiovascular events in AVSc versus no-AVSc patients. RESULTS This cross-sectional study identified a panel of 100 informative genes capable of distinguishing AVSc from no-AVSc patients with 94% accuracy. Further analysis revealed significant mean differences in 143 genes, of which 30 genes withstood correction for age and previous AMI or coronary interventions. Functional inference unveiled a significant association between AVSc and key biological processes, including acute inflammatory responses, type I IFN (interferon) response, platelet activation, and hemostasis. Notably, patients with AMI with AVSc exhibited a significantly higher incidence of adverse cardiovascular events during a 10-year follow-up period, with a full adjusted hazard ratio of 2.4 (95% CI, 1.3-4.5). CONCLUSIONS Our findings shed light on the molecular mechanisms underlying AVSc and provide potential prognostic insights for patients with AMI with AVSc. During AMI, patients with AVSc showed increased type I IFN (interferon) response and earlier adverse cardiovascular outcomes. Novel pharmacological therapies aiming at limiting type I IFN response during or immediately after AMI might improve poor cardiovascular outcomes of patients with AMI with AVSc.
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Affiliation(s)
- Luca Piacentini
- Centro Cardiologico Monzino, IRCCS, Milan Italy (L.P., V.A.M., M.C., C.V., D.M., V.V., G.G., I.M., N.C., G.M., P.P., G.I.C.)
| | - Veronika A. Myasoedova
- Centro Cardiologico Monzino, IRCCS, Milan Italy (L.P., V.A.M., M.C., C.V., D.M., V.V., G.G., I.M., N.C., G.M., P.P., G.I.C.)
| | - Mattia Chiesa
- Centro Cardiologico Monzino, IRCCS, Milan Italy (L.P., V.A.M., M.C., C.V., D.M., V.V., G.G., I.M., N.C., G.M., P.P., G.I.C.)
- Department of Electronics, Information and Biomedical Engineering, Politecnico di Milano, Milan, Italy (M.C.)
| | - Chiara Vavassori
- Centro Cardiologico Monzino, IRCCS, Milan Italy (L.P., V.A.M., M.C., C.V., D.M., V.V., G.G., I.M., N.C., G.M., P.P., G.I.C.)
| | - Donato Moschetta
- Centro Cardiologico Monzino, IRCCS, Milan Italy (L.P., V.A.M., M.C., C.V., D.M., V.V., G.G., I.M., N.C., G.M., P.P., G.I.C.)
| | - Vincenza Valerio
- Centro Cardiologico Monzino, IRCCS, Milan Italy (L.P., V.A.M., M.C., C.V., D.M., V.V., G.G., I.M., N.C., G.M., P.P., G.I.C.)
| | - Gloria Giovanetti
- Centro Cardiologico Monzino, IRCCS, Milan Italy (L.P., V.A.M., M.C., C.V., D.M., V.V., G.G., I.M., N.C., G.M., P.P., G.I.C.)
| | - Ilaria Massaiu
- Centro Cardiologico Monzino, IRCCS, Milan Italy (L.P., V.A.M., M.C., C.V., D.M., V.V., G.G., I.M., N.C., G.M., P.P., G.I.C.)
| | - Nicola Cosentino
- Centro Cardiologico Monzino, IRCCS, Milan Italy (L.P., V.A.M., M.C., C.V., D.M., V.V., G.G., I.M., N.C., G.M., P.P., G.I.C.)
| | - Giancarlo Marenzi
- Centro Cardiologico Monzino, IRCCS, Milan Italy (L.P., V.A.M., M.C., C.V., D.M., V.V., G.G., I.M., N.C., G.M., P.P., G.I.C.)
| | - Paolo Poggio
- Centro Cardiologico Monzino, IRCCS, Milan Italy (L.P., V.A.M., M.C., C.V., D.M., V.V., G.G., I.M., N.C., G.M., P.P., G.I.C.)
| | - Gualtiero I. Colombo
- Centro Cardiologico Monzino, IRCCS, Milan Italy (L.P., V.A.M., M.C., C.V., D.M., V.V., G.G., I.M., N.C., G.M., P.P., G.I.C.)
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Myasoedova VA, Genovese S, Cavallotti L, Bonomi A, Chiesa M, Campodonico J, Rondinelli M, Cosentino N, Baldassarre D, Veglia F, Pepi M, Alamanni F, Colombo GI, Marenzi G, Poggio P. Aortic Valve Sclerosis in High-Risk Coronary Artery Disease Patients. Front Cardiovasc Med 2021; 8:711899. [PMID: 34386534 PMCID: PMC8354333 DOI: 10.3389/fcvm.2021.711899] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 07/06/2021] [Indexed: 12/30/2022] Open
Abstract
Background: Current knowledge regarding the relationship between aortic valve sclerosis (AVSc), cardiovascular risk factors, and mortality in patients with known coronary artery disease (CAD) is still unclear. The present study aimed at investigating the prevalence of AVSc as well as its association with long-term all-cause mortality in high-risk CAD patients that has never been explored in large cohorts thus far. Methods and Results: In this retrospective and observational cohort study we enrolled high-risk CAD patients, hospitalized at Centro Cardiologico Monzino (CCM), Milan, Italy, between January 2006 and December 2016. The morphology and function of the aortic valve were assessed from the recorded echocardiographic images to evaluate the presence of AVSc, defined as a non-uniform thickening of the aortic leaflets with no consequences on hemodynamics. Data on 5-year all-cause mortality was retrieved from a Regional database. Of the 5,489 patients initially screened, 4,938 (mean age 67 ± 11 years, 3,954 [80%] men) were enrolled in the study. In the overall population, AVSc was detected in 2,138 (43%) patients. Multivariable LASSO regression revealed that age, female gender, diabetes mellitus, previous MI, and left ventricular ejection fraction were independently associated with AVSc. All-cause mortality (adjusted hazard ratio: 1.29, 95%CI: 1.05–1.58) was significantly higher in AVSc than in non-AVSc patients. Conclusions: AVSc is frequently detected in high-risk CAD patients and is associated with long-term mortality. Our findings corroborate the hypothesis that AVSc is an underestimated marker of systemic cardiovascular risk. Thus, AVSc detection may be used to improve long-term risk stratification of high-risk CAD patients.
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Affiliation(s)
- Veronika A Myasoedova
- Centro Cardiologico Monzino Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Milan, Italy
| | - Stefano Genovese
- Centro Cardiologico Monzino Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Milan, Italy
| | - Laura Cavallotti
- Centro Cardiologico Monzino Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Milan, Italy
| | - Alice Bonomi
- Centro Cardiologico Monzino Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Milan, Italy
| | - Mattia Chiesa
- Centro Cardiologico Monzino Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Milan, Italy
| | - Jeness Campodonico
- Centro Cardiologico Monzino Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Milan, Italy
| | - Maurizio Rondinelli
- Centro Cardiologico Monzino Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Milan, Italy
| | - Nicola Cosentino
- Centro Cardiologico Monzino Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Milan, Italy
| | - Damiano Baldassarre
- Centro Cardiologico Monzino Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Milan, Italy
| | - Fabrizio Veglia
- Centro Cardiologico Monzino Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Milan, Italy
| | - Mauro Pepi
- Centro Cardiologico Monzino Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Milan, Italy
| | - Francesco Alamanni
- Centro Cardiologico Monzino Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Milan, Italy
| | - Gualtiero I Colombo
- Centro Cardiologico Monzino Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Milan, Italy
| | - Giancarlo Marenzi
- Centro Cardiologico Monzino Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Milan, Italy
| | - Paolo Poggio
- Centro Cardiologico Monzino Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Milan, Italy
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Akyüz AR, Özderya A, Şahin S, Kul S, Turan T, Erkan H, Çırakoğlu ÖF, Karal H, Korkmaz L. Relation of p - wave dispersion with presystolic a - wave and aortic valve sclerosis in asymptomatic subjects. Echocardiography 2021; 38:386-393. [PMID: 33617677 DOI: 10.1111/echo.15011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 01/22/2021] [Accepted: 02/11/2021] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND P-wave duration and P-wave dispersion (PWD) are thought to be the surrogate marker of devoloping atrial fibrillation (AF). The main purpose of present study was to investigate the association between presystolic wave (PSW), aortic valve sclerosis, and PWD. PATIENTS AND METHODS Patients with sinus rhythm admitted to the cardiology outpatient clinic were consecutively enrolled. Maximum (Pmax) and minimum (Pmin) P-wave duration and PWD were measured. Echocardiography was used to assess the aortic valve morphology and presence of PSW. The patients were divided into two groups according to presence or absence of AVSc and PSW. RESULTS A total of 100 patients were enrolled consecutively. Patients with both PSW and AVSc had higher PWD values compared with those without PSW (42 ± 15 vs 65 ± 20) and AVSc (52 ± 21 vs 69 ± 19). The patients were categorized on the basis of median PWD values. According to univariate analysis, there was significant association between PWD and presence of PSW (P: .004), presence of AVS (P: .011), hypertension (P: .01) interventricular septal thickness (IVST) (P: .026), and posterior wall thickness (PWT) (P: .022). Multivariate logistic regression analyses demonstrated presence of PSW (95% confidence interval (1.058-6.505, P: .037) as an independent determinant of PWD. CONCLUSION Assessment of presystolic A-wave on echocardiography examination may provide important information regarding the atrial conduction velocities that is a electrophysiological cause of AF. While there was a significant association between AVSc and PWD in univariate analysis, this significance disappeared in multivariate analysis.
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Affiliation(s)
- Ali Rıza Akyüz
- Department of Cardiology, University of Health Sciences, Ahi Evren Cardiovascular and Thoracic Surgery Training and Research Hospital, Trabzon, Turkey
| | - Ahmet Özderya
- Department of Cardiology, University of Health Sciences, Ahi Evren Cardiovascular and Thoracic Surgery Training and Research Hospital, Trabzon, Turkey
| | - Sinan Şahin
- Department of Cardiology, University of Health Sciences, Ahi Evren Cardiovascular and Thoracic Surgery Training and Research Hospital, Trabzon, Turkey
| | - Selim Kul
- Department of Cardiology, University of Health Sciences, Ahi Evren Cardiovascular and Thoracic Surgery Training and Research Hospital, Trabzon, Turkey
| | - Turhan Turan
- Department of Cardiology, University of Health Sciences, Ahi Evren Cardiovascular and Thoracic Surgery Training and Research Hospital, Trabzon, Turkey
| | - Hakan Erkan
- Department of Cardiology, University of Health Sciences, Bursa Yüksek İhtisas Training and Research Hospital, Bursa, Turkey
| | - Ömer Faruk Çırakoğlu
- Department of Cardiology, University of Health Sciences, Ahi Evren Cardiovascular and Thoracic Surgery Training and Research Hospital, Trabzon, Turkey
| | - Hüseyin Karal
- Department of Cardiology, University of Health Sciences, Ahi Evren Cardiovascular and Thoracic Surgery Training and Research Hospital, Trabzon, Turkey
| | - Levent Korkmaz
- Department of Cardiology, University of Health Sciences, Ahi Evren Cardiovascular and Thoracic Surgery Training and Research Hospital, Trabzon, Turkey
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