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Oliva R, Fonseca E, Marescaux J. Telerobotics for the treatment of cardiovascular and stroke events. J Robot Surg 2025; 19:61. [PMID: 39904861 DOI: 10.1007/s11701-025-02218-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2024] [Accepted: 01/21/2025] [Indexed: 02/06/2025]
Affiliation(s)
- Riccardo Oliva
- IRCAD, Research Institute against Digestive Cancer, 1 Pl. de l'Hôpital, 67000, Strasbourg, France.
- Gynecologic Oncology Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore, Largo Agostino Gemelli, 8, 00136, Rome, Italy.
| | - Eduardo Fonseca
- IRCAD, Research Institute against Digestive Cancer, 1 Pl. de l'Hôpital, 67000, Strasbourg, France
| | - Jacques Marescaux
- IRCAD, Research Institute against Digestive Cancer, 1 Pl. de l'Hôpital, 67000, Strasbourg, France
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Madder RD, VanOosterhout S, Parker JL, Candreva A. Transatlantic Telerobotic Coronary Angiography: A Pre-clinical Feasibility Study. JACC. ADVANCES 2025; 4:101456. [PMID: 39801814 PMCID: PMC11719301 DOI: 10.1016/j.jacadv.2024.101456] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/23/2024] [Revised: 10/31/2024] [Accepted: 11/06/2024] [Indexed: 01/16/2025]
Abstract
Background Patients in many underserved geographies lack access to invasive coronary angiography (ICA). Objectives This preclinical study explored the feasibility of telerobotic ICA between separate continents. Methods Using a novel robotic system, attempts were made to navigate a magnetic guidewire and diagnostic catheter from the aortic arch into a target coronary artery ostium in a fluid-filled cardiac model. The model and robotic system were located in Zürich, Switzerland. The operating physician was either "onsite" in the laboratory in Zürich or "transatlantic," in which the physician remotely controlled the robot from Grand Rapids, Michigan, USA. An onsite control group of 40 manual catheterization cases was made for comparison. The primary endpoint was technical success (catheter engagement into target ostium without conversion to manual). A secondary endpoint was engagement time (time from initial robotic manipulation to engagement in target ostium). Results In 260 consecutive attempts, of which 40 (15.4%) were "onsite" and 220 (84.6%) were "transatlantic," technical success was 97.5% onsite and 100% in the transatlantic group (P = 0.154). Median engagement times were 33.2 seconds (25th, 75th percentile: 24.9, 45.0 seconds) onsite and 26.7 seconds (25th, 75th percentile: 21.7, 35.5 seconds) transatlantic (P = 0.003). Median engagement time was faster for manual cases (17.1 seconds [25th, 75th percentile: 12.2, 23.2 seconds]) compared to both robotic groups (P < 0.001). Conclusions In this preclinical study, the proof-of-concept for telerobotic ICA was successfully demonstrated. Furthermore, the current limits of telerobotic capabilities were tested by conducting ICA between separate continents and showing that transatlantic telerobotic navigation of endovascular devices is now technically possible.
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Affiliation(s)
- Ryan D. Madder
- Frederik Meijer Heart & Vascular Institute, Corewell Health West, Grand Rapids, Michigan, USA
| | - Stacie VanOosterhout
- Frederik Meijer Heart & Vascular Institute, Corewell Health West, Grand Rapids, Michigan, USA
| | - Jessica L. Parker
- Frederik Meijer Heart & Vascular Institute, Corewell Health West, Grand Rapids, Michigan, USA
| | - Alessandro Candreva
- Department of Cardiology, University Heart Centre, University Hospital Zürich, Zürich, Switzerland
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Li L, Huang C, Liu W, Li J, A G, Chen X, Jiang S, Fang Y, Foo RSY, Chan MYY, Yu Y, Li Y, Yang Q, Zhou X. Time to benefit of intensive lipid lowering therapy in individuals with cardiovascular disease. J Clin Lipidol 2024:S1933-2874(24)00259-9. [PMID: 39537509 DOI: 10.1016/j.jacl.2024.09.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Revised: 08/29/2024] [Accepted: 09/25/2024] [Indexed: 11/16/2024]
Abstract
BACKGROUND The timing of the clinical benefit of intensive lipid-lowering therapy in reducing major adverse cardiovascular events (MACE) in individuals with established cardiovascular disease (CVD), both before and after the advent of novel medications (proprotein convertase subtilisin/kexin type 9 inhibitor [PCSK9i] and ezetimibe) in 2010, is unclear. OBJECTIVE To evaluate the time to benefit (TTB) from intensive lipid-lowering therapy. METHODS The investigators systematically searched for randomized controlled trials evaluating intensive lipid-lowering therapy. The primary outcome was MACEs. Utilizing reconstructed individual participant data, Weibull survival curves were fitted to estimate the TTB for specific absolute risk reduction thresholds (0.002, 0.005, and 0.01). RESULTS Seven trials randomizing 92,180 adults aged between 58.2 and 63.6 years were identified. A TTB of 19.6 months (95 % confidence interval [CI]: 12.3 to 31.4) of intensive lipid-lowering was needed to prevent 1 MACE per 100 patients. Before 2010, when statin as the only option, a TTB for high-intensity statin therapy of 15.2 months (95 % CI: 6.52 to 35.5) was needed. After 2010, the TTB for PCSK9i-based, ezetimibe-based intensive lipid-lowering on a background of statin therapy was 17.7 (95 % CI: 12.2 to 25.6) and 47.3 (95 % CI: 20.4 to 110) months, respectively. CONCLUSIONS In contemporary practice, to prevent 1 MACE in 100 individuals with established CVD, a TTB of 17.7 and 47.3 months was needed for PCSK9i-based and ezetimibe-based intensive lipid-lowering therapy on a background of statin therapy, respectively. The observed variations across different drug regimens highlight the need for a personalized approach to treatment decisions.
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Affiliation(s)
- Linjie Li
- Department of Cardiology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin 300052, China
| | - Chuanyi Huang
- Department of Cardiology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin 300052, China
| | - Wennan Liu
- Department of Cardiology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin 300052, China
| | - Jingge Li
- Department of Cardiology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin 300052, China
| | - Geru A
- Department of Cardiology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin 300052, China
| | - Xiaozhi Chen
- Department of Cardiology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin 300052, China
| | - Shichen Jiang
- Department of Cardiology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin 300052, China
| | - Yiwen Fang
- Department of Cardiology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin 300052, China
| | - Roger Sik-Yin Foo
- Cardiovascular Research Institute, National University Health System, 14 Medical Drive, Singapore 117599, Singapore
| | - Mark Yan-Yee Chan
- Cardiovascular Research Institute, National University Health System, 14 Medical Drive, Singapore 117599, Singapore; Department of Cardiology, National University Heart Centre, 5 Lower Kent Ridge Rd, Singapore 119074, Singapore; Yong Loo-Lin School of Medicine, National University of Singapore, 1E Kent, Ridge Road, Singapore 119228, Singapore
| | - Ying Yu
- Department of Pharmacology, Tianjin Key Laboratory of Inflammatory Biology, Center for Cardiovascular Diseases, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, School of Basic Medical Sciences, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
| | - Yongle Li
- Department of Cardiology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin 300052, China
| | - Qing Yang
- Department of Cardiology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin 300052, China.
| | - Xin Zhou
- Department of Cardiology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin 300052, China.
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Zhu XY, Zhang KJ, Li X, Su FF, Tian JW. Prognostic value of Geriatric Nutritional Risk Index and systemic immune-inflammatory index in elderly patients with acute coronary syndromes. Sci Rep 2024; 14:3144. [PMID: 38326538 PMCID: PMC10850071 DOI: 10.1038/s41598-024-53540-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Accepted: 02/01/2024] [Indexed: 02/09/2024] Open
Abstract
The objective of this study was to evaluate the predictive value of the Geriatric Nutritional Risk Index (GNRI) combined with the Systemic Immunoinflammatory Index (SII) for the risk of major adverse cardiovascular events (MACE) following percutaneous coronary intervention in elderly patients with acute coronary syndrome (ACS). We retrospectively reviewed the medical records of 1202 elderly patients with acute coronary syndromes divided into MACE and non-MACE groups according to whether they had a MACE. The sensitivity analysis utilized advanced machine learning algorithms to preliminarily identify the critical role of GNRI versus SII in predicting MACE risk. We conducted a detailed analysis using a restricted cubic spline approach to investigate the nonlinear relationship between GNRI, SII, and MACE risk further. We constructed a clinical prediction model based on three key factors: GNRI, SII, and Age. To validate the accuracy and usefulness of this model, we compared it to the widely used GRACE score using subject work and recall curves. Additionally, we compared the predictive value of models and GRACE scores in assessing the risk of MACE using the Integrated Discriminant Improvement Index (IDI) and the Net Reclassification Index (NRI). This study included 827 patients. The GNRI scores were lower in the MACE group than in the non-MACE group, while the SII scores were higher in the MACE group (P < 0.001). The multifactorial analysis revealed a low GNRI (OR = 2.863, 95% CI: 2.026-4.047, P = 0.001), High SII (OR = 3.102, 95% CI: 2.213-4.348, P = 0.001). The area under the curve (AUC) for the predictive model was 0.778 (95% CI: 0.744-0.813, P = 0.001), while the AUC for the GRACE score was 0.744 (95% CI: 0.708-0.779, P = 0.001). NRI was calculated to be 0.5569, with NRI + at 0.1860 and NRI- at 0.3708. The IDI was found to be 0.0571, with a P-value of less than 0.001. These results suggest that the newly developed prediction model is more suitable for use with the population in this study than the GRACE score. The model constructed using GNRI and SII demonstrated good standardization and clinical impact, as evidenced by the standard, DCA, and clinical impact curves. The study shows that combining GNRI and SII can be a simple, cost-effective, and valuable way to predict the risk of MACE within one year in elderly acute coronary syndromes.
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Affiliation(s)
- Xing-Yu Zhu
- Graduate School of Hebei North University, Zhangjiakou, 075031, Hebei Province, China
- Department of Cardiovascular Medicine, Air Force Medical Center, Chinese People's Liberation Army, Beijing, 100142, Beijing, China
| | - Kai-Jie Zhang
- Graduate School of Hebei North University, Zhangjiakou, 075031, Hebei Province, China
| | - Xiao Li
- Graduate School of Hebei North University, Zhangjiakou, 075031, Hebei Province, China
| | - Fei-Fei Su
- Department of Cardiovascular Medicine, Air Force Medical Center, Chinese People's Liberation Army, Beijing, 100142, Beijing, China
| | - Jian-Wei Tian
- Department of Cardiovascular Medicine, Air Force Medical Center, Chinese People's Liberation Army, Beijing, 100142, Beijing, China.
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Rossello X, Rubini Gimenez M. The dapagliflozin in patients with myocardial infarction (DAPA-MI) trial in perspective. EUROPEAN HEART JOURNAL. ACUTE CARDIOVASCULAR CARE 2023; 12:862-863. [PMID: 37979161 DOI: 10.1093/ehjacc/zuad142] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Accepted: 11/13/2023] [Indexed: 11/20/2023]
Affiliation(s)
- Xavier Rossello
- Cardiology Department, Institut D'investigació Sanitària Illes Balears (Idisba), Hospital Universitari Son Espases,Carretera de Valldemossa 79, 07120 Palma, Spain
- Clinical Research Department, Centro Nacional de Investigaciones Cardiovasculares (CNIC), C. de Melchor Fernández Almagro 3, 28029 Madrid, Spain
- Faculty of Medicine, Universitat De Les Illes Balears (UIB), Carretera de Valldemossa, Km 7.5, 07122 Palma, Spain
| | - Maria Rubini Gimenez
- Cardiology and Internal Medicine Department, Leipzig University Heart Center, 04289 Leipzig, Germany
- Cardiology Department, IMED Hospitales, 46100 Valencia, Spain
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Zhu XY, Yang DD, Zhang KJ, Zhu HJ, Su FF, Tian JW. Comparative analysis of four nutritional scores predicting the incidence of MACE in older adults with acute coronary syndromes after PCI. Sci Rep 2023; 13:20333. [PMID: 37989757 PMCID: PMC10663484 DOI: 10.1038/s41598-023-47793-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 11/18/2023] [Indexed: 11/23/2023] Open
Abstract
To determine the most appropriate nutritional assessment tool for predicting the occurrence of major adverse cardiovascular events (MACE) within 1 year in elderly ACS patients undergoing PCI from four nutritional assessment tools including PNI, GNRI, CONUT, and BMI. Consecutive cases diagnosed with acute coronary syndrome (ACS) and underwent percutaneous coronary intervention (PCI) in the Department of Cardiovascular Medicine of the Air force characteristic medical center from 1 January 2020 to 1 April 2022 were retrospectively collected. The basic clinical characteristics and relevant test and examination indexes were collected uniformly, and the cases were divided into the MACE group (174 cases) and the non-MACE group (372 cases) according to whether a major adverse cardiovascular event (MACE) had occurred within 1 year. Predictive models were constructed to assess the nutritional status of patients with the Prognostic Nutritional Index (PNI), Geriatric Nutritional Risk Index (GNRI), Controlling nutritional status (CONUT) scores, and Body Mass Index (BMI), respectively, and to analyze their relationship with prognosis. The incremental value of the four nutritional assessment tools in predicting risk was compared using the Integrated Discriminant Improvement (IDI) and the net reclassification improvement (NRI). The predictive effect of each model on the occurrence of major adverse cardiovascular events (MACE) within 1 year in elderly ACS patients undergoing PCI was assessed using area under the ROC curve (AUC), calibration curves, decision analysis curves, and clinical impact curves; comparative analyses were performed. Among the four nutritional assessment tools, the area under the curve (AUC) was significantly higher for the PNI (AUC: 0.798, 95%CI 0.755-0.840 P < 0.001) and GNRI (AUC: 0.760, 95%CI 0.715-0.804 P < 0.001) than for the CONUT (AUC: 0.719,95%CI 0.673-0.765 P < 0.001) and BMI (AUC: 0.576, 95%CI 0.522-0.630 P < 0.001). The positive predictive value (PPV) of PNI: 67.67% was better than GNRI, CONUT, and BMI, and the negative predictive value (NPV): of 83.90% was better than CONUT and BMI and similar to the NPV of GNRI. The PNI, GNRI, and CONUT were compared with BMI, respectively. The PNI had the most significant improvement in the Integrated Discriminant Improvement Index (IDI) (IDI: 0.1732, P < 0.001); the PNI also had the most significant improvement in the Net Reclassification Index (NRI) (NRI: 0.8185, P < 0.001). In addition, of the four nutritional assessment tools used in this study, the PNI was more appropriate for predicting the occurrence of major adverse cardiovascular events (MACE) within 1 year in elderly ACS patients undergoing PCI.
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Affiliation(s)
- Xing-Yu Zhu
- Graduate School of Hebei North University, Zhangjiakou, 075031, Hebei, China
- Department of Cardiovascular Medicine, Air Force Characteristic Medical Center, Beijing, 100142, China
| | - Dan-Dan Yang
- Xuzhou Central Hospital, General Practice Medicine, Xuzhou, 221009, Jiangsu, China
| | - Kai-Jie Zhang
- Graduate School of Hebei North University, Zhangjiakou, 075031, Hebei, China
| | - Hui-Jing Zhu
- Graduate School of Hebei North University, Zhangjiakou, 075031, Hebei, China
| | - Fei-Fei Su
- Department of Cardiovascular Medicine, Air Force Characteristic Medical Center, Beijing, 100142, China
| | - Jian-Wei Tian
- Graduate School of Hebei North University, Zhangjiakou, 075031, Hebei, China.
- Department of Cardiovascular Medicine, Air Force Characteristic Medical Center, Beijing, 100142, China.
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7
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Nadarajah R, Ludman P, Laroche C, Appelman Y, Brugaletta S, Budaj A, Bueno H, Huber K, Kunadian V, Leonardi S, Lettino M, Milasinovic D, Gale CP. Presentation, care, and outcomes of patients with NSTEMI according to World Bank country income classification: the ACVC-EAPCI EORP NSTEMI Registry of the European Society of Cardiology. EUROPEAN HEART JOURNAL. QUALITY OF CARE & CLINICAL OUTCOMES 2023; 9:552-563. [PMID: 36737420 PMCID: PMC10495699 DOI: 10.1093/ehjqcco/qcad008] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 01/23/2023] [Accepted: 02/01/2023] [Indexed: 02/05/2023]
Abstract
BACKGROUND The majority of NSTEMI burden resides outside high-income countries (HICs). We describe presentation, care, and outcomes of NSTEMI by country income classification. METHODS AND RESULTS Prospective cohort study including 2947 patients with NSTEMI from 287 centres in 59 countries, stratified by World Bank country income classification. Quality of care was evaluated based on 12 guideline-recommended care interventions. The all-or-none scoring composite performance measure was used to define receipt of optimal care. Outcomes included in-hospital acute heart failure, stroke/transient ischaemic attack, and death, and 30-day mortality. Patients admitted with NSTEMI in low to lower-middle-income countries (LLMICs), compared with patients in HICs, were younger, more commonly diabetic, and current smokers, but with a lower burden of other comorbidities, and 76.7% met very high risk criteria for an immediate invasive strategy. Invasive coronary angiography use increased with ascending income classification (LLMICs, 79.2%; upper middle income countries [UMICs], 83.7%; HICs, 91.0%), but overall care quality did not (≥80% of eligible interventions achieved: LLMICS, 64.8%; UMICs 69.6%; HICs 55.1%). Rates of acute heart failure (LLMICS, 21.3%; UMICs, 12.1%; HICs, 6.8%; P < 0.001), stroke/transient ischaemic attack (LLMICS: 2.5%; UMICs: 1.5%; HICs: 0.9%; P = 0.04), in-hospital mortality (LLMICS, 3.6%; UMICs: 2.8%; HICs: 1.0%; P < 0.001) and 30-day mortality (LLMICs, 4.9%; UMICs, 3.9%; HICs, 1.5%; P < 0.001) exhibited an inverse economic gradient. CONCLUSION Patients with NSTEMI in LLMICs present with fewer comorbidities but a more advanced stage of acute disease, and have worse outcomes compared with HICs. A cardiovascular health narrative is needed to address this inequity across economic boundaries.
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Affiliation(s)
- Ramesh Nadarajah
- Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, LS2 3AA, Leeds, UK
- Leeds Institute of Data Analytics, University of Leeds, LS2 9NL, Leeds, UK
- Department of Cardiology, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Peter Ludman
- Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, UK
| | - Cécile Laroche
- EURObservational Research Programme, European Society of Cardiology, European Heart House, Route des Colles, Sophia Antipolis, 2035, France
| | - Yolande Appelman
- Department of Cardiology, Amsterdam UMC-Vrije Universiteit, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands
| | - Salvatore Brugaletta
- Hospital Clinic de Barcelona, Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
| | - Andrzej Budaj
- Department of Cardiology, Center of Postgraduate Medical Education, Grochowski Hospital, Warsaw, Poland
| | - Hector Bueno
- Cardiology Department, Hospital Universitario 12 de Octubre and Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Madrid, Spain
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
- Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain
| | - Kurt Huber
- 3rd Medical Department, Cardiology and Intensive Care Medicine, Clinic Ottakring (Wilhelminenhospital), Vienna, Austria
- Sigmund Freud University, Medical Faculty, Vienna, Austria
| | - Vijay Kunadian
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
- Cardiothoracic Centre, Freeman Hospital, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Sergio Leonardi
- University of Pavia, Pavia, Italy
- Fondazione IRCCS Policlinico S.Matteo, Pavia, Italy
| | - Maddalena Lettino
- Cardio-Thoracic and Vascular Department, San Gerardo Hospital, ASST-Monza, Monza, Italy
| | - Dejan Milasinovic
- Department of Cardiology, University Clinical Center of Serbia and Faculty of Medicine, University of Begrade, Belgrade, Serbia
| | - Chris P Gale
- Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, LS2 3AA, Leeds, UK
- Leeds Institute of Data Analytics, University of Leeds, LS2 9NL, Leeds, UK
- Department of Cardiology, Leeds Teaching Hospitals NHS Trust, Leeds, UK
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8
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Dawson LP, Andrew E, Nehme Z, Bloom J, Okyere D, Cox S, Anderson D, Stephenson M, Lefkovits J, Taylor AJ, Kaye D, Smith K, Stub D. Risk-standardized mortality metric to monitor hospital performance for chest pain presentations. EUROPEAN HEART JOURNAL. QUALITY OF CARE & CLINICAL OUTCOMES 2023; 9:583-591. [PMID: 36195327 DOI: 10.1093/ehjqcco/qcac062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Revised: 07/10/2022] [Accepted: 09/29/2022] [Indexed: 09/13/2023]
Abstract
AIMS Risk-standardized mortality rates (RSMR) have been used to monitor hospital performance in procedural and disease-based registries, but limitations include the potential to promote risk-averse clinician decisions and a lack of assessment of the whole patient journey. We aimed to determine whether it is feasible to use RSMR at the symptom-level to monitor hospital performance using routinely collected, linked, clinical and administrative data of chest pain presentations. METHODS AND RESULTS We included 192 978 consecutive adult patients (mean age 62 years; 51% female) with acute chest pain without ST-elevation brought via emergency medical services (EMS) to 53 emergency departments in Victoria, Australia (1/1/2015-30/6/2019). From 32 candidate variables, a risk-adjusted logistic regression model for 30-day mortality (C-statistic 0.899) was developed, with excellent calibration in the full cohort and with optimism-adjusted bootstrap internal validation. Annual 30-day RSMR was calculated by dividing each hospital's observed mortality by the expected mortality rate and multiplying it by the annual mean 30-day mortality rate. Hospital performance according to annual 30-day RSMR was lower for outer regional or remote locations and at hospitals without revascularisation capabilities. Hospital rates of angiography or transfer for patients diagnosed with non-ST elevation myocardial infarction (NSTEMI) correlated with annual 30-day RSMR, but no correlations were observed with other existing key performance indicators. CONCLUSION Annual hospital 30-day RSMR can be feasibly calculated at the symptom-level using routinely collected, linked clinical, and administrative data. This outcome-based metric appears to provide additional information for monitoring hospital performance in comparison with existing process of care key performance measures.
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Affiliation(s)
- Luke P Dawson
- Department of Cardiology, The Alfred Hospital, Melbourne, VIC 3004, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
- Department of Cardiology, The Royal Melbourne Hospital, Melbourne, VIC 3050, Australia
| | - Emily Andrew
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
- Centre for Research & Evaluation, Ambulance Victoria, Melbourne, VIC 3130, Australia
| | - Ziad Nehme
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
- Centre for Research & Evaluation, Ambulance Victoria, Melbourne, VIC 3130, Australia
- Department of Paramedicine, Monash University, Melbourne, VIC 3199, Australia
| | - Jason Bloom
- Department of Cardiology, The Alfred Hospital, Melbourne, VIC 3004, Australia
- Heart Failure Research Group, The Baker Institute, Melbourne, VIC 3004, Australia
| | - Daniel Okyere
- Centre for Research & Evaluation, Ambulance Victoria, Melbourne, VIC 3130, Australia
| | - Shelley Cox
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
- Centre for Research & Evaluation, Ambulance Victoria, Melbourne, VIC 3130, Australia
| | - David Anderson
- Centre for Research & Evaluation, Ambulance Victoria, Melbourne, VIC 3130, Australia
- Department of Intensive Care Medicine, The Alfred Hospital, Melbourne, VIC 3004, Australia
| | - Michael Stephenson
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
- Centre for Research & Evaluation, Ambulance Victoria, Melbourne, VIC 3130, Australia
- Department of Paramedicine, Monash University, Melbourne, VIC 3199, Australia
| | - Jeffrey Lefkovits
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
- Department of Cardiology, The Royal Melbourne Hospital, Melbourne, VIC 3050, Australia
| | - Andrew J Taylor
- Department of Cardiology, The Alfred Hospital, Melbourne, VIC 3004, Australia
- Department of Medicine, Monash University, Melbourne, VIC 3800, Australia
| | - David Kaye
- Department of Cardiology, The Alfred Hospital, Melbourne, VIC 3004, Australia
- Heart Failure Research Group, The Baker Institute, Melbourne, VIC 3004, Australia
| | - Karen Smith
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
- Centre for Research & Evaluation, Ambulance Victoria, Melbourne, VIC 3130, Australia
- Department of Paramedicine, Monash University, Melbourne, VIC 3199, Australia
| | - Dion Stub
- Department of Cardiology, The Alfred Hospital, Melbourne, VIC 3004, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
- Heart Failure Research Group, The Baker Institute, Melbourne, VIC 3004, Australia
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Solà-Muñoz S, Jorge M, Jiménez-Fàbrega X, Jiménez-Delgado S, Azeli Y, Marsal JR, Jordán S, Mauri J, Jacob J. Prehospital stratification and prioritisation of non-ST-segment elevation acute coronary syndrome patients (NSTEACS): the MARIACHI scale. Intern Emerg Med 2023; 18:1317-1327. [PMID: 37131092 DOI: 10.1007/s11739-023-03274-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Accepted: 04/11/2023] [Indexed: 05/04/2023]
Abstract
OBJECTIVE The objective of this study was to develop and validate a risk scale (MARIACHI) for patients classified as non-ST-segment elevation acute coronary syndrome (NSTEACS) in a prehospital setting with the ability to identify patients at an increased risk of mortality at an early stage. METHODS A retrospective observational study conducted in Catalonia over two periods: 2015-2017 (development and internal validation cohort) and Aug 2018-Jan 2019 (external validation cohort). We included patients classified as prehospital NSTEACS, assisted by an advanced life support unit and requiring hospital admission. The primary outcome was in-hospital mortality. Cohorts were compared using logistic regression and a predictive model was created using bootstrapping techniques. RESULTS The development and internal validation cohort included 519 patients. The model is composed of five variables associated with hospital mortality: age, systolic blood pressure, heart rate > 95 bpm, Killip-Kimball III-IV and ST depression ≥ 0.5 mm. The model showed good overall performance (Brier = 0.043) and consistency in discrimination (AUC 0.88, 95% CI 0.83-0.92) and calibration (slope = 0.91; 95% CI 0.89-0.93). We included 1316 patients for the external validation sample. There was no difference in discrimination (AUC 0.83, 95% CI 0.78-0.87; DeLong Test p = 0.071), but there was in calibration (p < 0.001), so it was recalibrated. The finally model obtained was stratified and scored into three groups according to the predicted risk of patient in-hospital mortality: low risk: < 1% (-8 to 0 points), moderate risk: 1-5% (+ 1 to + 5 points) and high risk: > 5% (6-12 points). CONCLUSION The MARIACHI scale showed correct discrimination and calibration to predict high-risk NSTEACS. Identification of high-risk patients may help with treatment and low referral decisions at the prehospital level.
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Affiliation(s)
| | - Morales Jorge
- Sistema d'Emergències Mèdiques de Catalunya, Catalonia, Spain
| | - Xavier Jiménez-Fàbrega
- Sistema d'Emergències Mèdiques de Catalunya, Catalonia, Spain
- Universitat de Barcelona, Barcelona, Spain
| | | | - Youcef Azeli
- Sistema d'Emergències Mèdiques de Catalunya, Catalonia, Spain
- Emergency Department, Hospital Universitari Sant Joan de Reus, Tarragona, Spain
- Institut d'Investigació Sanitària Pere i Virgili (IISPV), Tarragona, Spain
| | - J Ramon Marsal
- RTI Health Solutions, Research Triangle Park, Spain
- Epidemiology Unit of the Cardiology Department, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Sara Jordán
- Sistema d'Emergències Mèdiques de Catalunya, Catalonia, Spain
| | - Josepa Mauri
- Cardiology Department, Hospital Universitari Germans Trias I Pujol, Badalona, Spain
- Pla Director de Malalties Cardiovasculars (PDMCV), Health Department of the Government of Catalonia, Catalonia, Spain
| | - Javier Jacob
- Universitat de Barcelona, Barcelona, Spain
- Emergency Department, Hospital Universitari de Bellvitge, Barcelona, Spain
- IDIBELL, L'Hospitalet de Llobregat, Spain
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Tavakoli S, Duman E. Uncovering the Potential of Lipid Core Quantification for Predicting Major Adverse Cardiovascular Events. Radiology 2023; 308:e231546. [PMID: 37606575 PMCID: PMC10477503 DOI: 10.1148/radiol.231546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 06/27/2023] [Accepted: 06/29/2023] [Indexed: 08/23/2023]
Affiliation(s)
- Sina Tavakoli
- From the Department of Radiology (S.T., E.D.), Department of Medicine (S.T.), and Heart, Lung, Blood, and Vascular Medicine Institute (S.T.), University of Pittsburgh Medical Center, UPMC Presbyterian Hospital, 200 Lothrop St, Suite E200, Pittsburgh, PA 15213
| | - Emrah Duman
- From the Department of Radiology (S.T., E.D.), Department of Medicine (S.T.), and Heart, Lung, Blood, and Vascular Medicine Institute (S.T.), University of Pittsburgh Medical Center, UPMC Presbyterian Hospital, 200 Lothrop St, Suite E200, Pittsburgh, PA 15213
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11
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Lu ZF, Yin WH, Schoepf UJ, Abrol S, Ma JW, Yu XB, Zhao L, Su XM, Wang CS, An YQ, Xiao ZC, Lu B. Residual Risk in Non-ST-Segment Elevation Acute Coronary Syndrome: Quantitative Plaque Analysis at Coronary CT Angiography. Radiology 2023; 308:e230124. [PMID: 37606570 DOI: 10.1148/radiol.230124] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/23/2023]
Abstract
Background Lipid-rich plaques detected with intravascular imaging are associated with adverse cardiovascular events in patients with non-ST-segment elevation (NSTE) acute coronary syndrome (ACS). But evidence about the prognostic implication of coronary CT angiography (CCTA) in NSTE ACS is limited. Purpose To assess whether quantitative variables at CCTA that reflect lipid content in nonrevascularized plaques in individuals with NSTE ACS might be predictors of subsequent nonrevascularized plaque-related major adverse cardiovascular events (MACEs). Materials and Methods In this multicenter prospective cohort study, from November 2017 to January 2019, individuals diagnosed with NSTE ACS (excluding those at very high risk) were enrolled and underwent CCTA before invasive coronary angiography (ICA) within 1 day. Lipid core was defined as areas with attenuation less than 30 HU in plaques. MACEs were defined as cardiac death, myocardial infarction, hospitalization for unstable angina, and revascularization. Participants were followed up at 6 months, 12 months, and annually thereafter for at least 3 years (ending by July 2022). Multivariable analysis using Cox proportional hazards regression models was performed to determine the association between lipid core burden, lipid core volume, and future nonrevascularized plaque-related MACEs at both the participant and plaque levels. Results A total of 342 participants (mean age, 57.9 years ± 11.1 [SD]; 263 male) were included for analysis with a median follow-up period of 4.0 years (IQR, 3.6-4.4 years). The 4-year nonrevascularized plaque-related MACE rate was 23.9% (95% CI: 19.1, 28.5). Lipid core burden (hazard ratio [HR], 12.6; 95% CI: 4.6, 34.3) was an independent predictor at the participant level, with an optimum threshold of 2.8%. Lipid core burden (HR, 12.1; 95% CI: 6.6, 22.3) and volume (HR, 11.0; 95% CI: 6.5, 18.4) were independent predictors at the plaque level, with an optimum threshold of 7.2% and 10.1 mm3, respectively. Conclusion In NSTE ACS, quantitative analysis of plaque lipid content at CCTA independently predicted participants and plaques at higher risk for future nonrevascularized plaque-related MACEs. Chinese Clinical Trial Registry no. ChiCTR1800018661 © RSNA, 2023 Supplemental material is available for this article. See also the editorial by Tavakoli and Duman in this issue.
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Affiliation(s)
- Zhong-Fei Lu
- From the Department of Radiology (Z.F.L., W.H.Y., J.W.M., L.Z., Y.Q.A., B.L.), NHC Key Laboratory of Clinical Research for Cardiovascular Medications (X.M.S.), and Medical Research & Biometrics Center (C.S.W.), State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, #167 Bei-Li-Shi Street, Beijing 100037, People's Republic of China; Departments of Radiology (Z.F.L.) and Cardiology (Z.C.X.), Yantai Yuhuangding Hospital, Qingdao University, Yantai, People's Republic of China; Department of Radiology and Radiological Science and Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC (U.J.S., S.A.); and CT Collaboration, Siemens Healthineers, Beijing, People's Republic of China (X.B.Y.)
| | - Wei-Hua Yin
- From the Department of Radiology (Z.F.L., W.H.Y., J.W.M., L.Z., Y.Q.A., B.L.), NHC Key Laboratory of Clinical Research for Cardiovascular Medications (X.M.S.), and Medical Research & Biometrics Center (C.S.W.), State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, #167 Bei-Li-Shi Street, Beijing 100037, People's Republic of China; Departments of Radiology (Z.F.L.) and Cardiology (Z.C.X.), Yantai Yuhuangding Hospital, Qingdao University, Yantai, People's Republic of China; Department of Radiology and Radiological Science and Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC (U.J.S., S.A.); and CT Collaboration, Siemens Healthineers, Beijing, People's Republic of China (X.B.Y.)
| | - U Joseph Schoepf
- From the Department of Radiology (Z.F.L., W.H.Y., J.W.M., L.Z., Y.Q.A., B.L.), NHC Key Laboratory of Clinical Research for Cardiovascular Medications (X.M.S.), and Medical Research & Biometrics Center (C.S.W.), State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, #167 Bei-Li-Shi Street, Beijing 100037, People's Republic of China; Departments of Radiology (Z.F.L.) and Cardiology (Z.C.X.), Yantai Yuhuangding Hospital, Qingdao University, Yantai, People's Republic of China; Department of Radiology and Radiological Science and Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC (U.J.S., S.A.); and CT Collaboration, Siemens Healthineers, Beijing, People's Republic of China (X.B.Y.)
| | - Sameer Abrol
- From the Department of Radiology (Z.F.L., W.H.Y., J.W.M., L.Z., Y.Q.A., B.L.), NHC Key Laboratory of Clinical Research for Cardiovascular Medications (X.M.S.), and Medical Research & Biometrics Center (C.S.W.), State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, #167 Bei-Li-Shi Street, Beijing 100037, People's Republic of China; Departments of Radiology (Z.F.L.) and Cardiology (Z.C.X.), Yantai Yuhuangding Hospital, Qingdao University, Yantai, People's Republic of China; Department of Radiology and Radiological Science and Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC (U.J.S., S.A.); and CT Collaboration, Siemens Healthineers, Beijing, People's Republic of China (X.B.Y.)
| | - Jing-Wen Ma
- From the Department of Radiology (Z.F.L., W.H.Y., J.W.M., L.Z., Y.Q.A., B.L.), NHC Key Laboratory of Clinical Research for Cardiovascular Medications (X.M.S.), and Medical Research & Biometrics Center (C.S.W.), State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, #167 Bei-Li-Shi Street, Beijing 100037, People's Republic of China; Departments of Radiology (Z.F.L.) and Cardiology (Z.C.X.), Yantai Yuhuangding Hospital, Qingdao University, Yantai, People's Republic of China; Department of Radiology and Radiological Science and Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC (U.J.S., S.A.); and CT Collaboration, Siemens Healthineers, Beijing, People's Republic of China (X.B.Y.)
| | - Xian-Bo Yu
- From the Department of Radiology (Z.F.L., W.H.Y., J.W.M., L.Z., Y.Q.A., B.L.), NHC Key Laboratory of Clinical Research for Cardiovascular Medications (X.M.S.), and Medical Research & Biometrics Center (C.S.W.), State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, #167 Bei-Li-Shi Street, Beijing 100037, People's Republic of China; Departments of Radiology (Z.F.L.) and Cardiology (Z.C.X.), Yantai Yuhuangding Hospital, Qingdao University, Yantai, People's Republic of China; Department of Radiology and Radiological Science and Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC (U.J.S., S.A.); and CT Collaboration, Siemens Healthineers, Beijing, People's Republic of China (X.B.Y.)
| | - Li Zhao
- From the Department of Radiology (Z.F.L., W.H.Y., J.W.M., L.Z., Y.Q.A., B.L.), NHC Key Laboratory of Clinical Research for Cardiovascular Medications (X.M.S.), and Medical Research & Biometrics Center (C.S.W.), State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, #167 Bei-Li-Shi Street, Beijing 100037, People's Republic of China; Departments of Radiology (Z.F.L.) and Cardiology (Z.C.X.), Yantai Yuhuangding Hospital, Qingdao University, Yantai, People's Republic of China; Department of Radiology and Radiological Science and Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC (U.J.S., S.A.); and CT Collaboration, Siemens Healthineers, Beijing, People's Republic of China (X.B.Y.)
| | - Xiao-Ming Su
- From the Department of Radiology (Z.F.L., W.H.Y., J.W.M., L.Z., Y.Q.A., B.L.), NHC Key Laboratory of Clinical Research for Cardiovascular Medications (X.M.S.), and Medical Research & Biometrics Center (C.S.W.), State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, #167 Bei-Li-Shi Street, Beijing 100037, People's Republic of China; Departments of Radiology (Z.F.L.) and Cardiology (Z.C.X.), Yantai Yuhuangding Hospital, Qingdao University, Yantai, People's Republic of China; Department of Radiology and Radiological Science and Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC (U.J.S., S.A.); and CT Collaboration, Siemens Healthineers, Beijing, People's Republic of China (X.B.Y.)
| | - Chuang-Shi Wang
- From the Department of Radiology (Z.F.L., W.H.Y., J.W.M., L.Z., Y.Q.A., B.L.), NHC Key Laboratory of Clinical Research for Cardiovascular Medications (X.M.S.), and Medical Research & Biometrics Center (C.S.W.), State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, #167 Bei-Li-Shi Street, Beijing 100037, People's Republic of China; Departments of Radiology (Z.F.L.) and Cardiology (Z.C.X.), Yantai Yuhuangding Hospital, Qingdao University, Yantai, People's Republic of China; Department of Radiology and Radiological Science and Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC (U.J.S., S.A.); and CT Collaboration, Siemens Healthineers, Beijing, People's Republic of China (X.B.Y.)
| | - Yun-Qiang An
- From the Department of Radiology (Z.F.L., W.H.Y., J.W.M., L.Z., Y.Q.A., B.L.), NHC Key Laboratory of Clinical Research for Cardiovascular Medications (X.M.S.), and Medical Research & Biometrics Center (C.S.W.), State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, #167 Bei-Li-Shi Street, Beijing 100037, People's Republic of China; Departments of Radiology (Z.F.L.) and Cardiology (Z.C.X.), Yantai Yuhuangding Hospital, Qingdao University, Yantai, People's Republic of China; Department of Radiology and Radiological Science and Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC (U.J.S., S.A.); and CT Collaboration, Siemens Healthineers, Beijing, People's Republic of China (X.B.Y.)
| | - Zhi-Cheng Xiao
- From the Department of Radiology (Z.F.L., W.H.Y., J.W.M., L.Z., Y.Q.A., B.L.), NHC Key Laboratory of Clinical Research for Cardiovascular Medications (X.M.S.), and Medical Research & Biometrics Center (C.S.W.), State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, #167 Bei-Li-Shi Street, Beijing 100037, People's Republic of China; Departments of Radiology (Z.F.L.) and Cardiology (Z.C.X.), Yantai Yuhuangding Hospital, Qingdao University, Yantai, People's Republic of China; Department of Radiology and Radiological Science and Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC (U.J.S., S.A.); and CT Collaboration, Siemens Healthineers, Beijing, People's Republic of China (X.B.Y.)
| | - Bin Lu
- From the Department of Radiology (Z.F.L., W.H.Y., J.W.M., L.Z., Y.Q.A., B.L.), NHC Key Laboratory of Clinical Research for Cardiovascular Medications (X.M.S.), and Medical Research & Biometrics Center (C.S.W.), State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, #167 Bei-Li-Shi Street, Beijing 100037, People's Republic of China; Departments of Radiology (Z.F.L.) and Cardiology (Z.C.X.), Yantai Yuhuangding Hospital, Qingdao University, Yantai, People's Republic of China; Department of Radiology and Radiological Science and Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC (U.J.S., S.A.); and CT Collaboration, Siemens Healthineers, Beijing, People's Republic of China (X.B.Y.)
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Nadarajah R, Ludman P, Appelman Y, Brugaletta S, Budaj A, Bueno H, Huber K, Kunadian V, Leonardi S, Lettino M, Milasinovic D, Gale CP, Budaj A, Dagres N, Danchin N, Delgado V, Emberson J, Friberg O, Gale CP, Heyndrickx G, Iung B, James S, Kappetein AP, Maggioni AP, Maniadakis N, Nagy KV, Parati G, Petronio AS, Pietila M, Prescott E, Ruschitzka F, Van de Werf F, Weidinger F, Zeymer U, Gale CP, Beleslin B, Budaj A, Chioncel O, Dagres N, Danchin N, Emberson J, Erlinge D, Glikson M, Gray A, Kayikcioglu M, Maggioni AP, Nagy KV, Nedoshivin A, Petronio AP, Roos-Hesselink JW, Wallentin L, Zeymer U, Popescu BA, Adlam D, Caforio ALP, Capodanno D, Dweck M, Erlinge D, Glikson M, Hausleiter J, Iung B, Kayikcioglu M, Ludman P, Lund L, Maggioni AP, Matskeplishvili S, Meder B, Nagy KV, Nedoshivin A, Neglia D, Pasquet AA, Roos-Hesselink JW, Rossello FJ, Shaheen SM, Torbica A, Gale CP, Ludman PF, Lettino M, Bueno H, Huber K, Leonardi S, Budaj A, Milasinovic (Serbia) D, Brugaletta S, Appelman Y, Kunadian V, Al Mahmeed WAR, Kzhdryan H, Dumont C, Geppert A, Bajramovic NS, Cader FA, Beauloye C, Quesada D, Hlinomaz O, Liebetrau C, Marandi T, Shokry K, Bueno H, Kovacevic M, Crnomarkovic B, Cankovic M, Dabovic D, Jarakovic M, Pantic T, Trajkovic M, Pupic L, Ruzicic D, Cvetanovic D, Mansourati J, Obradovic I, Stankovic M, Loh PH, Kong W, Poh KK, Sia CH, Saw K, Liška D, Brozmannová D, Gbur M, Gale CP, Maxian R, Kovacic D, Poznic NG, Keric T, Kotnik G, Cercek M, Steblovnik K, Sustersic M, Cercek AC, Djokic I, Maisuradze D, Drnovsek B, Lipar L, Mocilnik M, Pleskovic A, Lainscak M, Crncic D, Nikojajevic I, Tibaut M, Cigut M, Leskovar B, Sinanis T, Furlan T, Grilj V, Rezun M, Mateo VM, Anguita MJF, Bustinza ICM, Quintana RB, Cimadevilla OCF, Fuertes J, Lopez F, Dharma S, Martin MD, Martinez L, Barrabes JA, Bañeras J, Belahnech Y, Ferreira-Gonzalez I, Jordan P, Lidon RM, Mila L, Sambola A, Orvin K, Sionis A, Bragagnini W, Cambra AD, Simon C, Burdeus MV, Ariza-Solé A, Alegre O, Alsina M, Ferrando JIL, Bosch X, Sinha A, Vidal P, Izquierdo M, Marin F, Esteve-Pastor MA, Tello-Montoliu A, Lopez-Garcia C, Rivera-Caravaca JM, Gil-Pérez P, Nicolas-Franco S, Keituqwa I, Farhan HA, Silva L, Blasco A, Escudier JM, Ortega J, Zamorano JL, Sanmartin M, Pereda DC, Rincon LM, Gonzalez P, Casado T, Sadeghipour P, Lopez-Sendon JL, Manjavacas AMI, Marin LAM, Sotelo LR, Rodriguez SOR, Bueno H, Martin R, Maruri R, Moreno G, Moris C, Gudmundsdottir I, Avanzas P, Ayesta A, Junco-Vicente A, Cubero-Gallego H, Pascual I, Sola NB, Rodriguez OA, Malagon L, Martinez-Basterra J, Arizcuren AM, Indolfi C, Romero J, Calleja AG, Fuertes DG, Crespín Crespín M, Bernal FJC, Ojeda FB, Padron AL, Cabeza MM, Vargas CM, Yanes G, Kitai T, Gonzalez MJG, Gonzalez Gonzalez J, Jorge P, De La Fuente B, Bermúdez MG, Perez-Lopez CMB, Basiero AB, Ruiz AC, Pamias RF, Chamero PS, Mirrakhimov E, Hidalgo-Urbano R, Garcia-Rubira JC, Seoane-Garcia T, Arroyo-Monino DF, Ruiz AB, Sanz-Girgas E, Bonet G, Rodríguez-López J, Scardino C, De Sousa D, Gustiene O, Elbasheer E, Humida A, Mahmoud H, Mohamed A, Hamid E, Hussein S, Abdelhameed M, Ali T, Ali Y, Eltayeb M, Philippe F, Ali M, Almubarak E, Badri M, Altaher S, Alla MD, Dellborg M, Dellborg H, Hultsberg-Olsson G, Marjeh YB, Abdin A, Erglis A, Alhussein F, Mgazeel F, Hammami R, Abid L, Bahloul A, Charfeddine S, Ellouze T, Canpolat U, Oksul M, Muderrisoglu H, Popovici M, Karacaglar E, Akgun A, Ari H, Ari S, Can V, Tuncay B, Kaya H, Dursun L, Kalenderoglu K, Tasar O, Kalpak O, Kilic S, Kucukosmanoglu M, Aytekin V, Baydar O, Demirci Y, Gürsoy E, Kilic A, Yildiz Ö, Arat-Ozkan A, Sinan UY, Dagva M, Gungor B, Sekerci SS, Zeren G, Erturk M, Demir AR, Yildirim C, Can C, Kayikcioglu M, Yagmur B, Oney S, Xuereb RG, Sabanoglu C, Inanc IH, Ziyrek M, Sen T, Astarcioglu MA, Kahraman F, Utku O, Celik A, Surmeli AO, Basaran O, Ahmad WAW, Demirbag R, Besli F, Gungoren F, Ingabire P, Mondo C, Ssemanda S, Semu T, Mulla AA, Atos JS, Wajid I, Appelman Y, Al Mahmeed WAR, Atallah B, Bakr K, Garrod R, Makia F, Eldeeb F, Abdekader R, Gomaa A, Kandasamy S, Maruthanayagam R, Nadar SK, Nakad G, Nair R, Mota P, Prior P, Mcdonald S, Rand J, Schumacher N, Abraheem A, Clark M, Coulding M, Qamar N, Turner V, Negahban AQ, Crew A, Hope S, Howson J, Jones S, Lancaster N, Nicholson A, Wray G, Donnelly P, Gierlotka M, Hammond L, Hammond S, Regan S, Watkin R, Papadopoulos C, Ludman P, Hutton K, Macdonald S, Nilsson A, Roberts S, Monteiro S, Garg S, Balachandran K, Mcdonald J, Singh R, Marsden K, Davies K, Desai H, Goddard W, Iqbal N, Chalil S, Dan GA, Galasko G, Assaf O, Benham L, Brown J, Collins S, Fleming C, Glen J, Mitchell M, Preston S, Uttley A, Radovanovic M, Lindsay S, Akhtar N, Atkinson C, Vinod M, Wilson A, Clifford P, Firoozan S, Yashoman M, Bowers N, Chaplin J, Reznik EV, Harvey S, Kononen M, Lopesdesousa G, Saraiva F, Sharma S, Cruddas E, Law J, Young E, Hoye A, Harper P, Balghith M, Rowe K, Been M, Cummins H, French E, Gibson C, Abraham JA, Hobson S, Kay A, Kent M, Wilkinson A, Mohamed A, Clark S, Duncan L, Ahmed IM, Khatiwada D, Mccarrick A, Wanda I, Read P, Afsar A, Rivers V, Theobald T, Cercek M, Bell S, Buckman C, Francis R, Peters G, Stables R, Morgan M, Noorzadeh M, Taylor B, Twiss S, Widdows P, Brozmannová D, Wilkinson V, Black M, Clark A, Clarkson N, Currie J, George L, Mcgee C, Izzat L, Lewis T, Omar Z, Aytekin V, Phillips S, Ahmed F, Mackie S, Oommen A, Phillips H, Sherwood M, Aleti S, Charles T, Jose M, Kolakaluri L, Ingabire P, Karoudi RA, Deery J, Hazelton T, Knight A, Price C, Turney S, Kardos A, Williams F, Wren L, Bega G, Alyavi B, Scaletta D, Kunadian V, Cullen K, Jones S, Kirkup E, Ripley DP, Matthews IG, Mcleod A, Runnett C, Thomas HE, Cartasegna L, Gunarathne A, Burton J, King R, Quinn J, Sobolewska J, Munt S, Porter J, Christenssen V, Leng K, Peachey T, Gomez VN, Temple N, Wells K, Viswanathan G, Taneja A, Cann E, Eglinton C, Hyams B, Jones E, Reed F, Smith J, Beltrano C, Affleck DC, Turner A, Ward T, Wilmshurst N, Stirrup J, Brunton M, Whyte A, Smith S, Murray V, Walker R, Novas V, Weston C, Brown C, Collier D, Curtis K, Dixon K, Wells T, Trim F, Ghosh J, Mavuri M, Barman L, Dumont C, Elliott K, Harrison R, Mallinson J, Neale T, Smith J, Toohie J, Turnbull A, Parker E, Hossain R, Cheeseman M, Balparda H, Hill J, Hood M, Hutchinson D, Mellows K, Pendlebury C, Storey RF, Barker J, Birchall K, Denney H, Housley K, Cardona M, Middle J, Kukreja N, Gati S, Kirk P, Lynch M, Srinivasan M, Szygula J, Baker P, Cruz C, Derigay J, Cigalini C, Lamb K, Nembhard S, Price A, Mamas M, Massey I, Wain J, Delaney J, Junejo S, Martin K, Obaid D, Hoyle V, Brinkworth E, Davies C, Evans D, Richards S, Thomas C, Williams M, Dayer M, Mills H, Roberts K, Goodchild F, Dámaso ES, Greig N, Kundu S, Donaldson D, Tonks L, Beekes M, Button H, Hurford F, Motherwell N, Summers-Wall J, Felmeden D, Tapia V, Keeling P, Sheikh U, Yonis A, Felmeden L, Hughes D, Micklewright L, Summerhayes A, Sutton J, Panoulas V, Prendergast C, Poghosyan K, 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B, Monteil B, Philippart R, Tchetche D, Cottin M, Petit F, Piquart A, Popovic B, Varlot J, Maisuradze D, Sagirashvili E, Kereselidze Z, Totladze L, Ginturi T, Lagvilava D, Hamm C, Liebetrau C, Haas M, Hamm C, Koerschgen T, Weferling M, Wolter JS, Maier K, Nickenig G, Sedaghat A, Zachoval C, Lampropoulos K, Mpatsouli A, Sakellaropoulou A, Tyrovolas K, Zibounoumi N, Argyropoulos K, Toulgaridis F, Kolyviras A, Tzanis G, Tzifos V, Milkas A, Papaioannou S, Kyriazopoulos K, Pylarinou V, Kontonassakis I, Kotakos C, Kourgiannidis G, Ntoliou P, Parzakonis N, Pipertzi A, Sakalidis A, Ververeli CL, Kafkala K, Sinanis T, Diakakis G, Grammatikopoulos K, Papoutsaki E, Patialiatos T, Mamaloukaki M, Papadaki ST, Kanellos IE, Antoniou A, Tsinopoulos G, Goudis C, Giannadaki M, Daios S, Petridou M, Skantzis P, Koukis P, Dimitriadis F, Savvidis M, Styliadis I, Sachpekidis V, Pilalidou A, Stamatiadis N, Fotoglidis A, Karakanas A, Ruzsa Z, Becker D, Nowotta F, Gudmundsdottir I, Libungan B, Skuladottir FB, Halldorsdottir H, Shetty R, Iyengar S, Bs C, G S, Lakshmana S, S R, Tripathy N, Sinha A, Choudhary B, Kumar A, Kumar A, Raj R, Roy RS, Dharma S, Siswanto BB, Farhan HA, Yaseen IF, Al-Zaidi M, Dakhil Z, Amen S, Rasool B, Rajeeb A, Amber K, Ali HH, Al-Kinani T, Almyahi MH, Al-Obaidi F, Masoumi G, Sadeghi M, Heshmat-Ghahdarijani K, Roohafza H, Sarrafzadegan N, Shafeie M, Teimouri-Jervekani Z, Noori F, Kyavar M, Sadeghipour P, Firouzi A, Alemzadeh-Ansari MJ, Ghadrdoost B, Golpira R, Ghorbani A, Ahangari F, Salarifar M, Jenab Y, Biria A, Haghighi S, Mansouri P, Yadangi S, Kornowski R, Orvin K, Eisen A, Oginetz N, Vizel R, Kfir H, Pasquale GD, Casella G, Cardelli LS, Filippini E, Zagnoni S, Donazzan L, Ermacora D, Indolfi C, Polimeni A, Curcio A, Mongiardo A, De Rosa S, Sorrentino S, Spaccarotella C, Landolina M, Marino M, Cacucci M, Vailati L, Bernabò P, Montisci R, Meloni L, Marchetti MF, Biddau M, Garau E, Barbato E, Morisco C, Strisciuglio T, Canciello G, Lorenzoni G, Casu G, Merella P, 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Al-Mashari S, Al-Riyami H, Laghari AH, Faheem O, Ahmed SW, Qamar N, Furnaz S, Kazmi K, Saghir T, Aneel A, Asim A, Madiha F, Sobkowicz B, Tycinska A, Kazimierczyk E, Szyszkowska A, Mizia-Stec K, Wybraniec M, Bednarek A, Glowacki K, Prokopczuk J, Babinski W, Blachut A, Kosiak M, Kusinska A, Samborski S, Stachura J, Szastok H, Wester A, Bartoszewska D, Sosnowska-Pasiarska B, Krzysiek M, Legutko J, Nawrotek B, Kasprzak JD, Klosinska M, Wiklo K, Kurpesa M, Rechcinski T, Cieslik-Guerra U, Gierlotka M, Bugajski J, Feusette P, Sacha J, Przybylo P, Krzesinski P, Ryczek R, Karasek A, Kazmierczak-Dziuk A, Mielniczuk M, Betkier-Lipinska K, Roik M, Labyk A, Krakowian M, Machowski M, Paczynska M, Potepa M, Pruszczyk P, Budaj A, Ambroziak M, Omelanczuk-Wiech E, Torun A, Opolski G, Glowczynska R, Fojt A, Kowalik R, Huczek Z, Jedrzejczyk S, Roleder T, Brust K, Gasior M, Desperak P, Hawranek M, Farto-Abreu P, Santos M, Baptista S, Brizida L, Faria D, Loureiro J, Magno P, Monteiro C, Nédio M, Tavares J, Sousa C, Almeida I, Almeida S, Miranda H, Santos H, Santos AP, Goncalves L, Monteiro S, Baptista R, Ferreira C, Ferreira J, Goncalves F, Lourenço C, Monteiro P, Picarra B, Santos AR, Guerreiro RA, Carias M, Carrington M, Pais J, de Figueiredo MP, Rocha AR, Mimoso J, De Jesus I, Fernandes R, Guedes J, Mota T, Mendes M, Ferreira J, Tralhão A, Aguiar CT, Strong C, Da Gama FF, Pais G, Timóteo AT, Rosa SAO, Mano T, Reis J, Selas M, Mendes DE, Satendra M, Pinto P, Queirós C, Oliveira I, Reis L, Cruz I, Fernandes R, Torres S, Luz A, Campinas A, Costa R, Frias A, Oliveira M, Martins V, Castilho B, Coelho C, Moura AR, Cotrim N, Dos Santos RC, Custodio P, Duarte R, Gomes R, Matias F, Mendonca C, Neiva J, Rabacal C, Almeida AR, Caeiro D, Queiroz P, Silva G, Pop-Moldovan AL, Darabantiu D, Mercea S, Dan GA, Dan AR, Dobranici M, Popescu RA, Adam C, Sinescu CJ, Andrei CL, Brezeanu R, Samoila N, Baluta MM, Pop D, Tomoaia R, Istratoaie O, Donoiu I, Cojocaru A, Oprita OC, Rocsoreanu A, Grecu M, Ailoaei S, Popescu MI, Cozma A, Babes EE, Rus M, Ardelean A, Larisa R, Moisi M, Ban E, Buzle A, Filimon G, Dobreanu D, Lupu S, Mitre A, Rudzik R, Sus I, Opris D, Somkereki C, Mornos C, Petrescu L, Betiu A, Volcescu A, Ioan O, Luca C, Maximov D, Mosteoru S, Pascalau L, Roman C, Brie D, Crisan S, Erimescu C, Falnita L, Gaita D, Gheorghiu M, Levashov S, Redkina M, Novitskii N, Dementiev E, Baglikov A, Zateyshchikov D, Zubova E, Rogozhina A, Salikov A, Nikitin I, Reznik EV, Komissarova MS, Shebzukhova M, Shitaya K, Stolbova S, Larina V, Akhmatova F, Chuvarayan G, Arefyev MN, Averkov OV, Volkova AL, Sepkhanyan MS, Vecherko VI, Meray I, Babaeva L, Goreva L, Pisaryuk A, Potapov P, Teterina M, Ageev F, Silvestrova G, Fedulaev Y, Pinchuk T, Staroverov I, Kalimullin D, Sukhinina T, Zhukova N, Ryabov V, Kruchinkina E, Vorobeva D, Shevchenko I, Budyak V, Elistratova O, Fetisova E, Islamov R, Ponomareva E, Khalaf H, Shaimaa AA, Kamal W, Alrahimi J, Elshiekh A, Balghith M, Ahmed A, Attia N, Jamiel AA, Potpara T, Marinkovic M, Mihajlovic M, Mujovic N, Kocijancic A, Mijatovic Z, Radovanovic M, Matic D, Milosevic A, Savic L, Subotic I, Uscumlic A, Zlatic N, Antonijevic J, Vesic O, Vucic R, Martinovic SS, Kostic T, Atanaskovic V, Mitic V, Stanojevic D, Petrovic M. Cohort profile: the ESC EURObservational Research Programme Non-ST-segment elevation myocardial infraction (NSTEMI) Registry. EUROPEAN HEART JOURNAL. QUALITY OF CARE & CLINICAL OUTCOMES 2022; 9:8-15. [PMID: 36259751 DOI: 10.1093/ehjqcco/qcac067] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Accepted: 10/11/2022] [Indexed: 11/12/2022]
Abstract
AIMS The European Society of Cardiology (ESC) EURObservational Research Programme (EORP) Non-ST-segment elevation myocardial infarction (NSTEMI) Registry aims to identify international patterns in NSTEMI management in clinical practice and outcomes against the 2015 ESC Guidelines for the management of acute coronary syndromes in patients presenting without ST-segment-elevation. METHODS AND RESULTS Consecutively hospitalised adult NSTEMI patients (n = 3620) were enrolled between 11 March 2019 and 6 March 2021, and individual patient data prospectively collected at 287 centres in 59 participating countries during a two-week enrolment period per centre. The registry collected data relating to baseline characteristics, major outcomes (in-hospital death, acute heart failure, cardiogenic shock, bleeding, stroke/transient ischaemic attack, and 30-day mortality) and guideline-recommended NSTEMI care interventions: electrocardiogram pre- or in-hospital, pre-hospitalization receipt of aspirin, echocardiography, coronary angiography, referral to cardiac rehabilitation, smoking cessation advice, dietary advice, and prescription on discharge of aspirin, P2Y12 inhibition, angiotensin converting enzyme inhibitor (ACEi)/angiotensin receptor blocker (ARB), beta-blocker, and statin. CONCLUSION The EORP NSTEMI Registry is an international, prospective registry of care and outcomes of patients treated for NSTEMI, which will provide unique insights into the contemporary management of hospitalised NSTEMI patients, compliance with ESC 2015 NSTEMI Guidelines, and identify potential barriers to optimal management of this common clinical presentation associated with significant morbidity and mortality.
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Affiliation(s)
- Ramesh Nadarajah
- Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, LS2 9JT Leeds, UK.,Leeds Institute of Data Analytics, University of Leeds, LS2 9JT Leeds, UK.,Department of Cardiology, Leeds Teaching Hospitals NHS Trust, LS1 3EX Leeds, UK
| | - Peter Ludman
- Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, UK
| | - Yolande Appelman
- Department of Cardiology, Amsterdam UMC-Vrije Universiteit, Amsterdam Cardiovascular Sciences, Amsterdam, Netherlands
| | - Salvatore Brugaletta
- Hospital Clinic de Barcelona, Barcelona, Spain.,Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
| | - Andrzej Budaj
- Department of Cardiology, Center of Postgraduate Medical Education, Grochowski Hospital, Warsaw, Poland
| | - Hector Bueno
- Cardiology Department, Hospital Universitario 12 de Octubre and Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Madrid, Spain.,Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.,Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain
| | - Kurt Huber
- 3rd Medical Department, Cardiology and Intensive Care Medicine, Clinic Ottakring (Wilhelminenhospital), Vienna, Austria.,Medical Faculty, Sigmund Freud University, Vienna, Austria
| | - Vijay Kunadian
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.,Cardiothoracic Centre, Freeman Hospital, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Sergio Leonardi
- University of Pavia, Pavia, Italy.,Fondazione IRCCS Policlinico S.Matteo, Pavia, Italy
| | - Maddalena Lettino
- Cardio-Thoracic and Vascular Department, San Gerardo Hospital, ASST-Monza, Monza, Italy
| | - Dejan Milasinovic
- Department of Cardiology, University Clinical Center of Serbia and Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Chris P Gale
- Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, LS2 9JT Leeds, UK.,Leeds Institute of Data Analytics, University of Leeds, LS2 9JT Leeds, UK.,Department of Cardiology, Leeds Teaching Hospitals NHS Trust, LS1 3EX Leeds, UK
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13
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Inoue K, Chieh JTW, Yeh LC, Chiang SJ, Phrommintikul A, Suwanasom P, Kasim S, Ahmad B, Idrose AM, Salleh FM, Oyamada S, Hirano Y, Ouchi S, Terakura M, Yokoyama N, Kozuma K, Nanasato M, Higuchi R, Yumoto K, Fukuzawa T, Shimada I, Giannitsis E, Twerenbold R, Minamino T. An international, stepped wedge, cluster-randomized trial investigating the 0/1-h algorithm in suspected acute coronary syndrome in Asia: the rational of the DROP-Asian ACS study. Trials 2022; 23:986. [PMID: 36476401 PMCID: PMC9727900 DOI: 10.1186/s13063-022-06907-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Accepted: 11/09/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND More than half of the world's population lives in Asia. With current life expectancies in Asian countries, the burden of cardiovascular disease is increasing exponentially. Overcrowding in the emergency departments (ED) has become a public health problem. Since 2015, the European Society of Cardiology recommends the use of a 0/1-h algorithm based on high-sensitivity cardiac troponin (hs-cTn) for rapid triage of patients with suspected non-ST elevation acute coronary syndrome (NSTE-ACS). However, these algorithms are currently not recommended by Asian guidelines due to the lack of suitable data. METHODS The DROP-Asian ACS is a prospective, stepped wedge, cluster-randomized trial enrolling 4260 participants presenting with chest pain to the ED of 12 acute care hospitals in five Asian countries (UMIN; 000042461). Consecutive patients presenting with suspected acute coronary syndrome between July 2022 and Apr 2024 were included. Initially, all clusters will apply "usual care" according to local standard operating procedures including hs-cTnT but not the 0/1-h algorithm. The primary outcome is the incidence of major adverse cardiac events (MACE), the composite of all-cause death, myocardial infarction, unstable angina, or unplanned revascularization within 30 days. The difference in MACE (with one-sided 95% CI) was estimated to evaluate non-inferiority. The non-inferiority margin was prespecified at 1.5%. Secondary efficacy outcomes include costs for healthcare resources and duration of stay in ED. CONCLUSIONS This study provides important evidence concerning the safety and efficacy of the 0/1-h algorithm in Asian countries and may help to reduce congestion of the ED as well as medical costs.
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Affiliation(s)
- Kenji Inoue
- grid.482668.60000 0004 1769 1784Department of Cardiovascular Biology and Medicine, Juntendo University Nerima Hospital, Tokyo, Japan
| | - Jack Tan Wei Chieh
- grid.419385.20000 0004 0620 9905Department of Cardiology, National Heart Centre Singapore and Sengkang General Hospital, Singapore, Singapore
| | - Lim Chiw Yeh
- grid.419385.20000 0004 0620 9905Department of Cardiology, National Heart Centre Singapore and Sengkang General Hospital, Singapore, Singapore
| | - Shuo-Ju Chiang
- grid.410769.d0000 0004 0572 8156Division of Cardiology, Department of Internal Medicine, Taipei City Hospital Yangming Branch, Taipei, Taiwan
| | - Arintaya Phrommintikul
- grid.7132.70000 0000 9039 7662Division of Cardiology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiangmai, Thailand
| | - Pannipa Suwanasom
- grid.7132.70000 0000 9039 7662Division of Cardiology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiangmai, Thailand
| | - Sazzli Kasim
- grid.412259.90000 0001 2161 1343Division of Cardiology, Hospital Al-Sultan Abdullah, University Teknologi MARA, Kuala Lumpur, Malaysia
| | - Bakhtiar Ahmad
- grid.412259.90000 0001 2161 1343Division of Cardiology, Hospital Al-Sultan Abdullah, University Teknologi MARA, Kuala Lumpur, Malaysia
| | - Alzamani Mohammad Idrose
- grid.412516.50000 0004 0621 7139Division of Emergency, Kuala Lumpur Hospital, Kuala Lumpur, Malaysia
| | - Farina Mohd Salleh
- grid.419388.f0000 0004 0646 931XDivision of Emergency, Institut Jantung Negara, Kuala Lumpur, Malaysia
| | | | - Yohei Hirano
- grid.482669.70000 0004 0569 1541Department of Emergency and Critical Care Medicine, Juntendo University Urayasu Hospital, Chiba, Japan
| | - Shohei Ouchi
- Department of Cardiovascular Biology and Medicine, Juntendo Urayasu Hospital, Chiba, Japan
| | - Moriyuki Terakura
- grid.264706.10000 0000 9239 9995Department of Emergency, Teikyo University School of Medicine, Tokyo, Japan
| | - Naoyuki Yokoyama
- grid.264706.10000 0000 9239 9995Department of Cardiology, Teikyo University School of Medicine, Tokyo, Japan
| | - Ken Kozuma
- grid.264706.10000 0000 9239 9995Department of Cardiology, Teikyo University School of Medicine, Tokyo, Japan
| | - Mamoru Nanasato
- grid.413411.2Department of Cardiology, Sakakibara Heart Institute, Tokyo, Japan
| | - Ryosuke Higuchi
- grid.413411.2Department of Cardiology, Sakakibara Heart Institute, Tokyo, Japan
| | - Kazuhiko Yumoto
- grid.410819.50000 0004 0621 5838Department of Cardiology, Yokohama Rosai Hospital, Kanagawa, Japan
| | - Tomoyuki Fukuzawa
- grid.410819.50000 0004 0621 5838Department of Cardiology, Yokohama Rosai Hospital, Kanagawa, Japan
| | | | - Evangelos Giannitsis
- grid.5253.10000 0001 0328 4908Department of Cardiology, University Hospital Heidelberg, Heidelberg, Germany
| | - Raphael Twerenbold
- grid.13648.380000 0001 2180 3484Department of Cardiology and University Center of Cardiovascular Science, University Heart and Vascular Center Hamburg, Hamburg, Germany
| | - Tohru Minamino
- grid.258269.20000 0004 1762 2738Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
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14
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Temporal Trends in the Prevalence, Treatment and Outcomes of Patients with Acute Coronary Syndrome at High Bleeding Risk. Diagnostics (Basel) 2022; 12:diagnostics12081784. [PMID: 35892495 PMCID: PMC9394268 DOI: 10.3390/diagnostics12081784] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Revised: 07/09/2022] [Accepted: 07/20/2022] [Indexed: 11/17/2022] Open
Abstract
(1) Background: High bleeding risk is associated with adverse outcomes in ACS patients. We aimed to evaluate temporal trends in treatment and outcomes of ACS patients according to bleeding risk. (2) Methods: Included were ACS patients enrolled in ACSIS surveys. Patients were divided into three groups according to enrolment period: early (2002−2004), mid (2006−2010) and recent (2012−2018). Each group was further stratified into three subgroups according to CRUSADE bleeding risk score. The primary endpoints were 30-day MACE and 1-year all-cause mortality. (3) Results: Included were 13,058 ACS patients. High bleeding risk patients were less frequently treated with guideline-based medications and coronary revascularization. They also had higher rates of 30-day MACE and 1-year all-cause mortality regardless of the enrollment period. Among patients enrolled in early period, 30-day MACE rates were 10.8%, 17.5% and 24.3% (p < 0.001) and 1-year all-cause mortality rates were 2%, 7.7% and 23.6% (p < 0.001) in the low, moderate and high bleeding risk groups, respectively. Among patients enrolled in mid period, 30-day MACE rates were 7.7%, 13.4% and 23.5% (p < 0.001) and 1-year all-cause mortality rates were 1.5%, 7.2% and 22.1% (p < 0.001) in low, moderate and high bleeding risk groups, respectively. For patients enrolled in recent period, 30-day MACE rates were 5.7%, 8.6% and 16.2%, (p < 0.001) and 1-year all-cause mortality rates were 2.1%, 6% and 22.4%, (p < 0.001) in low, moderate and high bleeding risk groups, respectively. These differences remained significant following a multivariate analysis. (4) Conclusions: The percentage of patients at high bleeding risk has decreased over the last years. Despite recent improvements in the treatment of ACS patients, high bleeding risk remains a strong predictor of adverse outcomes.
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Joseph T, VanOosterhout S, Negash A, VanLoo L, Redmond M, Parker JL, McNamara DA, Madder RD. Robotically performed diagnostic coronary angiography. Catheter Cardiovasc Interv 2022; 100:207-213. [PMID: 35621166 DOI: 10.1002/ccd.30250] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 05/03/2022] [Accepted: 05/14/2022] [Indexed: 12/24/2022]
Abstract
OBJECTIVE This study was performed to investigate the efficacy and safety of robotic diagnostic coronary angiography. BACKGROUND Robotic percutaneous coronary intervention is associated with marked reductions in physician radiation exposure. Development of robotic diagnostic coronary angiography might similarly impact occupational safety. METHODS Stable patients referred for coronary angiography were prospectively enrolled. After obtaining vascular access, diagnostic catheters were manually advanced over a wire to the ascending aorta. All subsequent catheter movements were performed robotically. The primary endpoint was procedural success, defined as robotic completion of coronary angiography without conversion to a manual procedure and the absence of procedural major adverse cardiovascular events (MACE-cardiac death, cardiac arrest, or stroke) and major angiographic complications (coronary/aortic dissection or embolization). The primary hypothesis was that the observed rate of the primary endpoint, evaluated at the completion of coronary angiography, would meet a pre-specified performance goal of 74.5%. RESULTS Among 46 consecutive patients (age 67 ± 12 years; 69.6% male), diagnostic coronary angiography was completed robotically in all cases without the need for manual conversion and without any MACE or major angiographic complications. Thus, procedural success was 100%, which was significantly higher than the pre-specified performance goal (p < 0.001). Robotic coronary angiography was completed using 2 [2, 3] catheters per case with a median procedural time of 15 [11, 20] minutes. CONCLUSIONS Robotic diagnostic coronary angiography was performed with 100% procedural success and no observed complications. These results support the performance of future studies to further explore robotic coronary angiography.
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Affiliation(s)
- Timothy Joseph
- Division of Cardiology, Frederik Meijer Heart & Vascular Institute, Spectrum Health, Grand Rapids, Michigan, USA
| | - Stacie VanOosterhout
- Division of Cardiology, Frederik Meijer Heart & Vascular Institute, Spectrum Health, Grand Rapids, Michigan, USA
| | - Araya Negash
- Division of Cardiology, Frederik Meijer Heart & Vascular Institute, Spectrum Health, Grand Rapids, Michigan, USA
| | - Lisa VanLoo
- Division of Cardiology, Frederik Meijer Heart & Vascular Institute, Spectrum Health, Grand Rapids, Michigan, USA
| | - Meaghan Redmond
- Division of Cardiology, Frederik Meijer Heart & Vascular Institute, Spectrum Health, Grand Rapids, Michigan, USA
| | - Jessica L Parker
- Division of Cardiology, Frederik Meijer Heart & Vascular Institute, Spectrum Health, Grand Rapids, Michigan, USA
| | - David A McNamara
- Division of Cardiology, Frederik Meijer Heart & Vascular Institute, Spectrum Health, Grand Rapids, Michigan, USA
| | - Ryan D Madder
- Division of Cardiology, Frederik Meijer Heart & Vascular Institute, Spectrum Health, Grand Rapids, Michigan, USA
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Liu J, Huang Z, Huang H, He Y, Yu Y, Chen G, Liu L, Wang B, Li Q, Lai W, Xu D, Lu J, Yang Y, Chen L, Chen K, Tan N, Chen J, Chen S, Liu Y. Malnutrition in patients with coronary artery disease: Prevalence and mortality in a 46,485 Chinese cohort study. Nutr Metab Cardiovasc Dis 2022; 32:1186-1194. [PMID: 35260308 DOI: 10.1016/j.numecd.2021.12.023] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Revised: 12/23/2021] [Accepted: 12/23/2021] [Indexed: 10/19/2022]
Abstract
BACKGROUND AND AIMS Malnutrition is associated with poor prognosis in a wide range of illnesses. However, its long-term prognostic impact in general coronary artery disease (CAD) patients is not well known. We aim to report the prevalence and long-term mortality of malnutrition in the whole general population. METHODS AND RESULTS In this retrospective cohort study, the controlling nutritional status (CONUT) score was applied to 46,485 consecutive patients undergoing coronary angiography (CAG) and diagnosed with CAD from January 2007 to July 2018. Patients were stratified as having no malnutrition (n = 19,780), mild (n = 21,092), moderate (n = 5286) and severe malnutrition (n = 327), based on CONUT score. Overall, mean age was 63.1 ± 10.7 years, and 75.8% of patients (n = 35,250) were male. 45.4% of patients were mildly malnourished and 12.1% were moderately or severely malnourished. During a median follow-up of 5.1 years (interquartile range: 3.0-7.7 years), 6093 (17.3%) patients died. After adjusting for confounders, malnutrition risk was associated with significantly increased risk for all-cause death (mild vs. normal, HR = 1.19,95% confidence interval [CI]: 1.12 to 1.28; moderate vs. normal, HR = 1.42,95% CI: 1.30 to 1.55; severe vs. Normal, HR = 1.95, 95% CI: 1.57 to 2.41) (p for trend<0.001). The similar result on all-cause mortality was also found in different subgroups stratified by gender, chronic kidney disease, anemia, percutaneous coronary intervention. CONCLUSIONS Malnutrition is a common complication among patients with CAD, and is strongly associated with increased mortality. Further studies need to explore the efficacy of nutritional interventions on long-term prognosis among CAD patients. This study was registered at Clinicaltrials.gov as NCT04407936.
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Affiliation(s)
- Jin Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China; Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Zhidong Huang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China; Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Haozhang Huang
- Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China; The Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515, China
| | - Yibo He
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China; Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Yaren Yu
- Department of Cardiology, The First People's Hospital of Foshan, Guangdong Province, 528000, China
| | - Guanzhong Chen
- Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China; Guangdong Provincial People's Hospital, School of Medicine, South China University of Technology, Guangzhou, 510100, China
| | - Liwei Liu
- Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China; The Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515, China
| | - Bo Wang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China; Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Qiang Li
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China; Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Wenguang Lai
- Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China; Guangdong Provincial People's Hospital, School of Medicine, South China University of Technology, Guangzhou, 510100, China
| | - Danyuan Xu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China; Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Jin Lu
- Department of Cardiology, Longyan First Hospital Affiliated with Fujian Medical University, Longyan, 364000, China
| | - Yanfang Yang
- Department of Cardiology, Longyan First Hospital Affiliated with Fujian Medical University, Longyan, 364000, China
| | - Liling Chen
- Department of Cardiology, Longyan First Hospital Affiliated with Fujian Medical University, Longyan, 364000, China
| | - Kaihong Chen
- Department of Cardiology, Longyan First Hospital Affiliated with Fujian Medical University, Longyan, 364000, China
| | - Ning Tan
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China; Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China; The Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515, China; Department of Information Technology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Jiyan Chen
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China; Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China; The Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515, China; Department of Information Technology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Shiqun Chen
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China; Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
| | - Yong Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China; Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China; The Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515, China; Department of Information Technology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
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Rossello X, Mas-Lladó C, Pocock S, Vicent L, van de Werf F, Chin CT, Danchin N, Lee SWL, Medina J, Huo Y, Bueno H. Sex differences in mortality after an acute coronary syndrome increase with lower country wealth and higher income inequality. REVISTA ESPANOLA DE CARDIOLOGIA (ENGLISH ED.) 2022; 75:392-400. [PMID: 34175245 DOI: 10.1016/j.rec.2021.05.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 05/05/2021] [Indexed: 06/13/2023]
Abstract
INTRODUCTION AND OBJECTIVES Although several factors associated with sex differences in the management and outcomes after acute coronary syndrome (ACS) have been reported, little is known about the influence of socioeconomic factors on sex disparities. Our aim was to evaluate the influence of country wealth and income inequality on national sex differences in mortality after ACS. METHODS Sex differences in 2-year postdischarge mortality were evaluated in 23 489 ACS patients from the EPICOR and EPICOR Asia registries. Adjusted Cox regression models by country-based terciles of gross national income per capita and income inequality were used. RESULTS Women (24.3%) were older than men (65.5 vs 59.4 years, P <.001), had more comorbidities, were less often revascularized (63.6% vs 75.6%, P <.001) and received fewer guideline recommended therapies at discharge. Compared with men, a higher percentage of women died during follow-up (6.4% vs 4.9%, P <.001). The association between sex and mortality changed direction from hazard ratio (HR) 1.32 (95%CI, 1.17-1.49) in the univariate assessment to HR 0.76 (95%CI, 0.67-0.87) after adjustment for confounders. These differences were more evident with increasing country wealth (HRlow-incomecountries = 0.85; 95%CI, 0.72-1.00; HRmid-incomecountries = 0.66; 95%CI, 0.50-0.87; HRhigh-incomecountries = 0.60; 95%CI, 0.40-0.90; trend test P = .115) and with decreasing income inequality (HRlow-inequalityindex = 0.54; 95%CI, 0.36-0.81; HRintermediate-inequalityindex = 0.66; 95%CI, 0.50-0.88; HRhigh-inequalityindex = 0.87; 95%CI, 0.74-1.03; trend test P = .031). CONCLUSIONS Women with ACS living in high socioeconomic countries showed a lower postdischarge mortality risk compared with men. This risk was attenuated in countries with poorer socioeconomic background, where adjusted mortality rates were similar between women and men.
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Affiliation(s)
- Xavier Rossello
- Servicio de Cardiología, Hospital Universitari Son Espases (HUSE), Palma, Balearic Islands, Spain; Grupo de Fisiopatología y Terapéutica Cardiovascular, Institut d'Investigació Sanitària Illes Balears (IdISBa), University Hospital Son Espases, Palma, Balearic Islands, Spain; Laboratorio Traslacional para la Imagen y Terapia Cardiovascular, Centro Nacional de Investigaciones Cardiovasculares Carlos (CNIC), Madrid, Spain; Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, United Kingdom; Facultad de Medicina, Universitat de les Illes Balears (UIB), Palma, Balearic Islands, Spain
| | - Caterina Mas-Lladó
- Servicio de Cardiología, Hospital Universitari Son Espases (HUSE), Palma, Balearic Islands, Spain; Grupo de Fisiopatología y Terapéutica Cardiovascular, Institut d'Investigació Sanitària Illes Balears (IdISBa), University Hospital Son Espases, Palma, Balearic Islands, Spain
| | - Stuart Pocock
- Laboratorio Traslacional para la Imagen y Terapia Cardiovascular, Centro Nacional de Investigaciones Cardiovasculares Carlos (CNIC), Madrid, Spain; Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Lourdes Vicent
- Instituto de Investigación i+12 y Departamento de Cardiología, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - Frans van de Werf
- Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium
| | - Chee Tang Chin
- Cardiology Department, National Heart Centre Singapore, Singapore, Republic of Singapore
| | - Nicolas Danchin
- Service de Cardiologie, Hôpital Européen Georges Pompidou & René Descartes University, Paris, France
| | - Stephen W L Lee
- Cardiology Department, Queen Mary Hospital, Pok Fu Lam, China
| | | | - Yong Huo
- Cardiology Department, Beijing University First Hospital, Beijing, China
| | - Héctor Bueno
- Laboratorio Traslacional para la Imagen y Terapia Cardiovascular, Centro Nacional de Investigaciones Cardiovasculares Carlos (CNIC), Madrid, Spain; Instituto de Investigación i+12 y Departamento de Cardiología, Hospital Universitario 12 de Octubre, Madrid, Spain; Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain.
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Rossello X, Mas-Lladó C, Pocock S, Vicent L, Van de Werf F, Chin CT, Danchin N, Lee SW, Medina J, Huo Y, Bueno H. Las diferencias por sexo en la mortalidad tras un síndrome coronario agudo se incrementan en los países de menor riqueza y mayor desigualdad de ingresos. Rev Esp Cardiol 2022. [DOI: 10.1016/j.recesp.2021.05.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
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Bergmark BA, Mathenge N, Merlini PA, Lawrence-Wright MB, Giugliano RP. Acute coronary syndromes. Lancet 2022; 399:1347-1358. [PMID: 35367005 PMCID: PMC8970581 DOI: 10.1016/s0140-6736(21)02391-6] [Citation(s) in RCA: 151] [Impact Index Per Article: 50.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 10/26/2021] [Accepted: 10/26/2021] [Indexed: 12/14/2022]
Abstract
Although substantial progress has been made in the diagnosis and treatment of acute coronary syndromes, cardiovascular disease remains the leading cause of death globally, with nearly half of these deaths due to ischaemic heart disease. The broadening availability of high-sensitivity troponin assays has allowed for rapid rule-out algorithms in patients with suspected non-ST-segment elevated myocardial infarction (NSTEMI). Dual antiplatelet therapy is recommended for 12 months following an acute coronary syndrome in most patients, and additional secondary prevention measures including intensive lipid-lowering therapy (LDL-C <1·4 mmol/L), neurohormonal agents, and lifestyle modification, are crucial. The scientific evidence for diagnosis and management of acute coronary syndromes continues to evolve rapidly, including adapting to the COVID-19 pandemic, which has impacted all aspects of care. This Seminar provides a clinically relevant overview of the pathobiology, diagnosis, and management of acute coronary syndromes, and describes key scientific advances.
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Affiliation(s)
- Brian A Bergmark
- TIMI Study Group, Cardiovascular Division, Brigham and Women's Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Njambi Mathenge
- Division of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Piera A Merlini
- 4th Division of Cardiology, Cardiocenter De Gasperis, ASST GOM Niguarda and Bicocca University, Milan, Italy
| | - Marilyn B Lawrence-Wright
- Division of Cardiology, Department of Medicine, The University of the West Indies at Mona, Kingston, Jamaica
| | - Robert P Giugliano
- TIMI Study Group, Cardiovascular Division, Brigham and Women's Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
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Rossello X, González-Del-Hoyo M. Análisis de supervivencia en investigación cardiovascular (II): metodología estadística en situaciones complejas. Rev Esp Cardiol 2022. [DOI: 10.1016/j.recesp.2021.06.027] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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21
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Rossello X, González-Del-Hoyo M. Análisis de supervivencia en investigación cardiovascular (I): lo esencial. Rev Esp Cardiol 2022. [DOI: 10.1016/j.recesp.2021.05.017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
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22
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García-Blas S, Cordero A, Diez-Villanueva P, Martinez-Avial M, Ayesta A, Ariza-Solé A, Mateus-Porta G, Martínez-Sellés M, Escribano D, Gabaldon-Perez A, Bodi V, Bonanad C. Acute Coronary Syndrome in the Older Patient. J Clin Med 2021; 10:4132. [PMID: 34575243 PMCID: PMC8467899 DOI: 10.3390/jcm10184132] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 09/06/2021] [Accepted: 09/07/2021] [Indexed: 01/21/2023] Open
Abstract
Coronary artery disease is one of the leading causes of morbidity and mortality, and its prevalence increases with age. The growing number of older patients and their differential characteristics make its management a challenge in clinical practice. The aim of this review is to summarize the state-of-the-art in diagnosis and treatment of acute coronary syndromes in this subgroup of patients. This comprises peculiarities of ST-segment elevation myocardial infarction (STEMI) management, updated evidence of non-STEMI therapeutic strategies, individualization of antiplatelet treatment (weighting ischemic and hemorrhagic risks), as well as assessment of geriatric conditions and ethical issues in decision making.
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Affiliation(s)
- Sergio García-Blas
- Cardiology Department, Hospital Clínico Universitario de Valencia, INCLIVA Biomedical Research Institute, University of Valencia, 46010 Valencia, Spain; (S.G.-B.); (A.G.-P.); (V.B.)
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), 28029 Madrid, Spain; (A.C.); (M.M.-S.); (D.E.)
| | - Alberto Cordero
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), 28029 Madrid, Spain; (A.C.); (M.M.-S.); (D.E.)
- Cardiology Department, Hospital Universitario de San Juan, 03550 Alicante, Spain
| | - Pablo Diez-Villanueva
- Cardiology Department, Hospital Universitario de La Princesa, 28006 Madrid, Spain; (P.D.-V.); (M.M.-A.)
| | - Maria Martinez-Avial
- Cardiology Department, Hospital Universitario de La Princesa, 28006 Madrid, Spain; (P.D.-V.); (M.M.-A.)
| | - Ana Ayesta
- Cardiology Department, Hospital Central de Asturias, 33011 Oviedo, Spain;
| | - Albert Ariza-Solé
- Cardiology Department, Hospital Universitari de Bellvitge, L’Hospitalet de Llobregat, 08907 Barcelona, Spain; (A.A.-S.); (G.M.-P.)
| | - Gemma Mateus-Porta
- Cardiology Department, Hospital Universitari de Bellvitge, L’Hospitalet de Llobregat, 08907 Barcelona, Spain; (A.A.-S.); (G.M.-P.)
| | - Manuel Martínez-Sellés
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), 28029 Madrid, Spain; (A.C.); (M.M.-S.); (D.E.)
- Cardiology Department, Hospital Universitario Gregorio Marañón, Universidad Europea, Universidad Complutense, 28007 Madrid, Spain
| | - David Escribano
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), 28029 Madrid, Spain; (A.C.); (M.M.-S.); (D.E.)
- Cardiology Department, Hospital Universitario de San Juan, 03550 Alicante, Spain
| | - Ana Gabaldon-Perez
- Cardiology Department, Hospital Clínico Universitario de Valencia, INCLIVA Biomedical Research Institute, University of Valencia, 46010 Valencia, Spain; (S.G.-B.); (A.G.-P.); (V.B.)
| | - Vicente Bodi
- Cardiology Department, Hospital Clínico Universitario de Valencia, INCLIVA Biomedical Research Institute, University of Valencia, 46010 Valencia, Spain; (S.G.-B.); (A.G.-P.); (V.B.)
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), 28029 Madrid, Spain; (A.C.); (M.M.-S.); (D.E.)
| | - Clara Bonanad
- Cardiology Department, Hospital Clínico Universitario de Valencia, INCLIVA Biomedical Research Institute, University of Valencia, 46010 Valencia, Spain; (S.G.-B.); (A.G.-P.); (V.B.)
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Sanchis J, García Acuña JM, Raposeiras S, Barrabés JA, Cordero A, Martínez-Sellés M, Bardají A, Díez-Villanueva P, Marín F, Ruiz-Nodar JM, Vicente-Ibarra N, Alonso Salinas GL, Rigueiro P, Abu-Assi E, Formiga F, Núñez J, Núñez E, Ariza-Solé A. Carga de comorbilidad y beneficio de la revascularización en ancianos con síndrome coronario agudo. Rev Esp Cardiol 2021. [DOI: 10.1016/j.recesp.2020.06.025] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
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Survival analyses in cardiovascular research, part II: statistical methods in challenging situations. ACTA ACUST UNITED AC 2021; 75:77-85. [PMID: 34326022 DOI: 10.1016/j.rec.2021.07.001] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 06/21/2021] [Indexed: 11/22/2022]
Abstract
This article is the second of a series of 2 educational articles. In the first article, we described the basic concepts of survival analysis, summarizing the common statistical methods and providing a set of recommendations to guide the strategy of survival analyses in randomized clinical trials and observational studies. Here, we introduce stratified Cox models and frailty models, as well as the immortal time bias arising from a poor assessment of time-dependent variables. To address the issue of multiplicity of outcomes, we provide several modelling strategies to deal with other types of time-to-event data analyses, such as competing risks, multistate models, and recurrent-event methods. This review is illustrated with examples from previous cardiovascular research publications, and each statistical method is discussed alongside its main strengths and limitations. Finally, we provide some general observations about alternative statistical methods with less restrictive assumptions, such as the win ratio method, the restrictive mean survival time, and accelerated failure time model.
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25
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Huo Y, Van de Werf F, Han Y, Rossello X, Pocock SJ, Chin CT, Lee SWL, Li Y, Jiang J, Vega AM, Medina J, Bueno H. Long-Term Antithrombotic Therapy and Clinical Outcomes in Patients with Acute Coronary Syndrome and Renal Impairment: Insights from EPICOR and EPICOR Asia. Am J Cardiovasc Drugs 2021; 21:471-482. [PMID: 33537947 PMCID: PMC8263456 DOI: 10.1007/s40256-020-00447-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/16/2020] [Indexed: 11/29/2022]
Abstract
BACKGROUND Information is lacking on long-term management of patients with acute coronary syndrome (ACS) and chronic kidney disease (CKD) (estimated glomerular filtration rate [eGFR] < 60 mL/min/1.73 m2). OBJECTIVES Our objectives were to describe antithrombotic management patterns and outcomes in patients with ACS with varying renal function from the EPICOR (long-tErm follow-uP of antithrombotic management patterns In acute CORonary syndrome patients; NCT01171404) and EPICOR Asia (NCT01361386) studies. METHODS EPICOR and EPICOR Asia were prospective observational studies of patients who survived hospitalization for ACS and were enrolled at discharge in 28 countries across Europe, Latin America, and Asia. The studies were conducted from 2010 to 2013 and from 2011 to 2014, respectively. This analysis evaluated patient characteristics and oral antithrombotic management patterns and outcomes up to 2 years post-discharge according to admission eGFR: ≥ 90, 60-89, 30-59, or < 30 mL/min/1.73 m2. RESULTS Among 22,380 patients with available data, eGFR < 60 mL/min/1.73 m2 was observed in 16.7%. Patients with poorer renal function were older, were at greater cardiovascular risk, and had more prior cardiovascular disease and bleeding. Patients with CKD underwent fewer cardiovascular interventions and had more in-hospital cardiovascular and bleeding events. Dual antiplatelet therapy was less likely at discharge in patients with eGFR < 30 (82.3%) than in those with ≥ 90 (91.3%) mL/min/1.73 m2 and declined more sharply during follow-up in patients with low eGFR (p < 0.0001). An adjusted proportional hazards model showed that patients with lower eGFR levels had a higher risk of cardiovascular events and bleeding. CONCLUSIONS The presence of CKD in patients with ACS was associated with less aggressive cardiovascular management and an increased risk of cardiovascular events.
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Affiliation(s)
- Yong Huo
- Department of Cardiology, Peking University First Hospital, 8 Xishiku St., Xicheng District, Beijing, 100034, China.
| | | | - Yaling Han
- General Hospital of Shenyang Military Region, Shenyang, China
| | - Xavier Rossello
- Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases, Palma, Spain
- Centro Nacional de Investigaciones Cardiovasculares, Madrid, Spain
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK
- Centro de Investigación Biomédica en Red en Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
| | - Stuart J Pocock
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK
| | | | | | - Yi Li
- Department of Cardiology, Shenyang Northern Hospital, Shenyang, China
| | - Jie Jiang
- Department of Cardiology, Peking University First Hospital, 8 Xishiku St., Xicheng District, Beijing, 100034, China
| | | | | | - Héctor Bueno
- Centro Nacional de Investigaciones Cardiovasculares, Madrid, Spain
- Centro de Investigación Biomédica en Red en Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
- Instituto de investigación i+12 and Cardiology Department, Hospital Universitario, 12 de Octubre, Madrid, Spain
- Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain
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Rossello X, Ramis-Barceló MF, Raposeiras-Roubín S. Acute myocardial infarction with high Killip class: do geographic differences matter? EUROPEAN HEART JOURNAL. ACUTE CARDIOVASCULAR CARE 2021; 10:513-515. [PMID: 33997897 PMCID: PMC8245136 DOI: 10.1093/ehjacc/zuab025] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Affiliation(s)
- Xavier Rossello
- Cardiology Department, Health Research Institute of the Balearic Islands (IdISBa), Hospital Universitari Son Espases, Carretera de Valldemossa 79, 07120 Palma, Spain
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernández Almagro, 3 28029, Madrid, Spain
| | - Maria F Ramis-Barceló
- Cardiology Department, Health Research Institute of the Balearic Islands (IdISBa), Hospital Universitari Son Espases, Carretera de Valldemossa 79, 07120 Palma, Spain
| | - Sergio Raposeiras-Roubín
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernández Almagro, 3 28029, Madrid, Spain
- Cardiology Department, Hospital Universitario Álvaro Cunqueiro, Estrada de Clara Campoamor 341, 36213 Vigo, Spain
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Rossello X, González-Del-Hoyo M. Survival analyses in cardiovascular research, part I: the essentials. ACTA ACUST UNITED AC 2021; 75:67-76. [PMID: 34215548 DOI: 10.1016/j.rec.2021.06.003] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Accepted: 05/26/2021] [Indexed: 12/01/2022]
Abstract
This review provides a practical guide to the essentials of survival analysis and their reporting in cardiovascular studies, although most of its key content can be extrapolated to other medical fields. This is the first in a series of 2 educational articles laying the groundwork to address the most relevant statistical issues in survival analyses, which will smoothly drive the reader from the most basic analyses to the most complex situations. The focus will be on the type and shape of survival data, and the most common statistical methods, such as nonparametric, parametric and semiparametric models. Their adequacy, interpretation, advantages and disadvantages are illustrated by examples from the field of cardiovascular research. This article ends with a set of recommendations to guide the strategy of survival analyses for a randomized clinical trial and observational studies. Other topics, such as competing risks, multistate models and recurrent-event methods will be addressed in the second article.
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Affiliation(s)
- Xavier Rossello
- Servei de Cardiologia, Institut d'Investigació Sanitària Illes Balears (IdISBa), Hospital Universitari Son Espases, Palma de Mallorca, Balearic Islands, Spain; Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain; Facultad de Medicina, Universitat de les Illes Balears (UIB), Palma de Mallorca, Balearic Islands, Spain; Medical Statistics Department, London School of Hygiene & Tropical Medicine, London, United Kingdom.
| | - Maribel González-Del-Hoyo
- Servei de Cardiologia, Hospital Universitari Vall d'Hebron, Vall d'Hebron Institut de Recerca, Universitat Autònoma de Barcelona, Barcelona, Spain
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Cordero A, Rodríguez-Mañero M, Bertomeu-González V, García-Acuña JM, Baluja A, Agra-Bermejo R, Álvarez-Álvarez B, Cid B, Zuazola P, González-Juanatey JR. Insuficiencia cardiaca de novo tras un síndrome coronario agudo en pacientes sin insuficiencia cardiaca ni disfunción ventricular izquierda. Rev Esp Cardiol 2021. [DOI: 10.1016/j.recesp.2020.03.020] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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Collet JP, Thiele H, Barbato E, Barthélémy O, Bauersachs J, Bhatt DL, Dendale P, Dorobantu M, Edvardsen T, Folliguet T, Gale CP, Gilard M, Jobs A, Jüni P, Lambrinou E, Lewis BS, Mehilli J, Meliga E, Merkely B, Mueller C, Roffi M, Rutten FH, Sibbing D, Siontis GC. Guía ESC 2020 sobre el diagnóstico y tratamiento del síndrome coronario agudo sin elevación del segmento ST. Rev Esp Cardiol (Engl Ed) 2021. [DOI: 10.1016/j.recesp.2020.12.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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30
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Collet JP, Thiele H, Barbato E, Barthélémy O, Bauersachs J, Bhatt DL, Dendale P, Dorobantu M, Edvardsen T, Folliguet T, Gale CP, Gilard M, Jobs A, Jüni P, Lambrinou E, Lewis BS, Mehilli J, Meliga E, Merkely B, Mueller C, Roffi M, Rutten FH, Sibbing D, Siontis GCM. 2020 ESC Guidelines for the management of acute coronary syndromes in patients presenting without persistent ST-segment elevation. Eur Heart J 2021; 42:1289-1367. [PMID: 32860058 DOI: 10.1093/eurheartj/ehaa575] [Citation(s) in RCA: 2945] [Impact Index Per Article: 736.3] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
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Temporal association of contamination obsession on the prehospital delay of STEMI during COVID-19 pandemic. Am J Emerg Med 2021; 43:134-141. [PMID: 33561622 PMCID: PMC7847738 DOI: 10.1016/j.ajem.2021.01.083] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2020] [Revised: 01/20/2021] [Accepted: 01/26/2021] [Indexed: 12/31/2022] Open
Abstract
Background One of the modifiable risk factors for ST elevation myocardial infarction is prehospital delay. The purpose of our study was to look at the effect of contamination contamination obsession on prehospital delay compared with other measurements during the Covid-19 pandemic. Method A total of 139 patients with acute STEMI admitted to our heart center from 20 March 2020 to 20 June 2020 were included in this study. If the time interval between the estimated onset of symptoms and admission to the emergency room was >120 min, it was considered as a prehospital delay. The Beck Depression Inventory (BDI), the Beck Anxiety Inventory (BAI), and Padua Inventory-Washington State University Revision (PI-WSUR) test were used to assess Contamination-Obbsessive compulsive disorder (C-OCD). Result The same period STEMI count compared to the previous year decreased 25%. The duration of symptoms onset to hospital admission was longer in the first month compared to second and third months (180 (120–360), 120 (60–180), and 105 (60–180), respectively; P = 0.012). Multivariable logistic regression (model-2) was used to examine the association between 7 candidate predictors (age, gender, diabetes mellitus (DM), hypertension, smoking, pain-onset time, and coronary artery disease (CAD) history), PI-WSUR C-OCD, and admission month with prehospital delay. Among variables, PI-WSUR C-OCD and admission month were independently associated with prehospital delay (OR 5.36 (2.11–13.61) (P = 0.01); 0.26 (0.09–0.87) p < 0.001] respectively]. Conclusion Our study confirmed that contamination obsession was associated with prehospital delay of STEMI patients, however anxiety and depression level was not associated during the pandemic.
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Raposeiras Roubín S, Abu Assi E, Cespón Fernandez M, Barreiro Pardal C, Lizancos Castro A, Parada JA, Pérez DD, Blanco Prieto S, Rossello X, Ibanez B, Íñiguez Romo A. Prevalence and Prognostic Significance of Malnutrition in Patients With Acute Coronary Syndrome. J Am Coll Cardiol 2021; 76:828-840. [PMID: 32792081 DOI: 10.1016/j.jacc.2020.06.058] [Citation(s) in RCA: 132] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Revised: 06/14/2020] [Accepted: 06/18/2020] [Indexed: 12/22/2022]
Abstract
BACKGROUND Malnutrition is associated with poor prognosis in a wide range of illnesses. However, its prognostic impact in patients with acute coronary syndrome (ACS) is not well known. OBJECTIVES This study sought to report the prevalence, clinical associations, and prognostic consequences of malnutrition in patients with ACS. METHODS In this study, the Controlling Nutritional Status (CONUT) score, the Nutritional Risk Index (NRI), and the Prognostic Nutritional Index (PNI) was applied to 5,062 consecutive patients with ACS. The relationships between malnutrition risk and all-cause mortality and major cardiovascular events (MACEs) (cardiovascular mortality, reinfarction, or ischemic stroke) were examined. RESULTS According to the CONUT score, NRI, and PNI, 11.2%, 39.5%, and 8.9% patients were moderately or severely malnourished, respectively; 71.8% were at least mildly malnourished by at least 1 score. Although worse scores were most strongly related to lower body mass index, between 8.4% and 36.7% of patients with a body mass index of ≥25 kg/m2 were moderately or severely malnourished, depending on the nutritional index used. During a median follow-up of 3.6 years (interquartile range: 1.3 to 5.3 years), 830 (16.4%) patients died, and 1,048 (20.7%) had MACEs. Compared with good nutritional status, malnutrition was associated with significantly increased risk for all-cause death (adjusted hazard ratio for moderate and severe degrees of malnutrition, respectively: 2.02 [95% confidence interval (CI): 1.65 to 2.49] and 3.65 [95% CI: 2.41 to 5.51] for the CONUT score, 1.40 [95% CI: 1.17 to 1.68] and 2.87 [95% CI: 2.17 to 3.79] for the NRI, and 1.71 [95% CI: 1.37 to 2.15] and 1.95 [95% CI: 1.55 to 2.45] for the PNI score; p values <0.001 for all nutritional indexes). Similar results were found for the CONUT score and PNI regarding MACEs. All risk scores improve the predictive ability of the GRACE (Global Registry of Acute Coronary Events) risk score for both all-cause mortality and MACEs. CONCLUSIONS Malnutrition is common among patients with ACS and is strongly associated with increased mortality and cardiovascular events. Clinical trials are needed to prospectively evaluate the efficacy of nutritional interventions on outcomes in patients with ACS.
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Affiliation(s)
- Sergio Raposeiras Roubín
- Cardiology Department, University Hospital Álvaro Cunqueiro, Vigo, Spain; Health Research Institute Galicia Sur, Vigo, Spain; Centro Nacional de Investigaciones Cardiovasculares, Madrid, Spain.
| | - Emad Abu Assi
- Cardiology Department, University Hospital Álvaro Cunqueiro, Vigo, Spain; Health Research Institute Galicia Sur, Vigo, Spain
| | | | | | | | | | - David Dobarro Pérez
- Cardiology Department, University Hospital Álvaro Cunqueiro, Vigo, Spain; Health Research Institute Galicia Sur, Vigo, Spain
| | | | - Xavier Rossello
- Centro Nacional de Investigaciones Cardiovasculares, Madrid, Spain; Cardiology Department and Health Research Institute of the Balearic Islands, University Hospital Son Espases, Palma, Spain
| | - Borja Ibanez
- Centro Nacional de Investigaciones Cardiovasculares, Madrid, Spain; Cardiology Department, Hospital Fundación Jiménez Díaz, Madrid, Spain; Centro de Investigación Biomédica en Red en Enfermedades Cardiovasculares (CIBERCV), Spain
| | - Andrés Íñiguez Romo
- Cardiology Department, University Hospital Álvaro Cunqueiro, Vigo, Spain; Health Research Institute Galicia Sur, Vigo, Spain
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Martín-Asenjo R, Gregson J, Rossello X, Van de Werf F, Medina J, Danchin N, Pocock S, Bueno H. Number of Antithrombotic Drugs Used Early and In-hospital Outcomes in Acute Coronary Syndromes. J Cardiovasc Transl Res 2021; 14:790-798. [PMID: 33420682 DOI: 10.1007/s12265-020-10094-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Accepted: 12/16/2020] [Indexed: 11/25/2022]
Abstract
Antithrombotic drug use for acute coronary syndromes (ACS) varies considerably. The number of antithrombotic drugs (excluding oral anticoagulants) used pre- and in-hospital was recorded in ACS survivors enrolled at hospital discharge in the long-tErm follow-uP of antithrombotic management patterns In acute CORonary syndrome patients (EPICOR) registry ( NCT01171404 ), a prospective cohort study. Among 10,568 patients, the number of antithrombotic drugs used early/patient ranged from 0 to 8 (interquartile range = 3-4). Overall, 250 patients (2.4%) experienced ≥ 1 in-hospital ischemic event and 343 (3.2%) ≥ 1 non-fatal bleeding event. While there was no difference in the rate of ischemic events (p = 0.75 for-trend) according to the number of antithrombotic drugs, a significantly higher incidence of non-fatal bleeds was observed (p < 0.0001 for-trend), with OR = 1.68 (95%CI = 1.51-1.88) per additional antithrombotic drug, which remained after adjustment by patient characteristics. In conclusion, careful balancing of the short-term risks for ischemic and bleeding events should be considered when adding new antithrombotic drugs.
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Affiliation(s)
- Roberto Martín-Asenjo
- Cardiology Department, Hospital Universitario 12 de Octubre and Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Madrid, Spain
| | - John Gregson
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK
| | - Xavier Rossello
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK
- Cardiology Department, Health Research Institute of the Balearic Islands (IdISBa), Hospital Universitari Son Espases, Palma, Spain
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernandez Almagro, 3, 28029, Madrid, Spain
| | - Frans Van de Werf
- Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium
| | - Jesús Medina
- Global Medical Affairs, AstraZeneca, Madrid, Spain
| | - Nicolas Danchin
- Hôpital Européen Georges Pompidou & René Descartes University, Paris, France
| | - Stuart Pocock
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernandez Almagro, 3, 28029, Madrid, Spain
| | - Héctor Bueno
- Cardiology Department, Hospital Universitario 12 de Octubre and Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Madrid, Spain.
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernandez Almagro, 3, 28029, Madrid, Spain.
- Centro de Investigación Biomédica en Red Enfermedades Cardiovaculares (CIBERCV), Madrid, Spain.
- Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain.
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Rossello X, Medina J, Pocock S, Van de Werf F, Chin CT, Danchin N, Lee SWL, Huo Y, Bueno H. Assessment of quality indicators for acute myocardial infarction management in 28 countries and use of composite quality indicators for benchmarking. EUROPEAN HEART JOURNAL-ACUTE CARDIOVASCULAR CARE 2020; 9:911-922. [DOI: 10.1177/2048872620911853] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Background:
The European Society of Cardiology established a set of quality indicators for the management of acute myocardial infarction. Our aim was to evaluate their degree of attainment, prognostic value and potential use for centre benchmarking in a large international cohort.
Methods:
Quality indicators were extracted from the long-tErm follow-uP of antithrombotic management patterns In acute CORonary syndrome patients (EPICOR) (555 hospitals, 20 countries in Europe and Latin America, 2010–2011) and EPICOR Asia (218 hospitals, eight countries, 2011–2012) registries, including non-ST-segment elevation acute myocardial infarction (n=6558) and ST-segment elevation acute myocardial infarction (n=11,559) hospital survivors. The association between implementation rates for each quality indicator and two-year adjusted mortality was evaluated using adjusted Cox models. Composite quality indicators were categorized for benchmarking assessment at different levels.
Results:
The degree of attainment of the 17 evaluated quality indicators ranged from 13% to 100%. Attainment of most individual quality indicators was associated with two-year survival. A higher compliance with composite quality indicators was associated with lower mortality at centre-, country- and region-level. Moreover, the higher the risk for two-year mortality, the lower the compliance with composite quality indicators.
Conclusions:
When EPICOR and EPICOR Asia were conducted, the European Society of Cardiology quality indicators would have been attained to a limited extent, suggesting wide room for improvement in the management of acute myocardial infarction patients. After adjustment for confounding, most quality indicators were associated with reduced two-year mortality and their prognostic value should receive further attention. The two composite quality indicators can be used as a tool for benchmarking either at centre-, country- or world region-level.
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Affiliation(s)
- Xavier Rossello
- Department of Cardiology, Hospital Universitari Son Espases (HUSE), Spain
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Spain
- Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases, Palma, Spain
| | | | - Stuart Pocock
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Spain
- London School of Hygiene and Tropical Medicine, UK
| | - Frans Van de Werf
- Department of Cardiovascular Sciences, University of Leuven, Belgium
| | | | - Nicolas Danchin
- Hôpital Européen Georges Pompidou & René Descartes University, France
| | | | - Yong Huo
- Beijing University First Hospital, China
| | - Héctor Bueno
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Spain
- Instituto de investigación i+12 and Cardiology Department, Hospital Universitario 12 de Octubre, Spain
- Facultad de Medicina, Universidad Complutense de Madrid, Spain
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Zhu L, Liu Y, Zhang W, Zhang Z, Zhou L, Zhang H, Zhang Y, Liu F, Liu P, Liu Z, Wang J. Higher baseline lipid levels amplify the benefit of secondary prevention therapy with statins in Chinese patients with acute coronary syndrome. J Int Med Res 2020; 48:300060520965848. [PMID: 33138662 PMCID: PMC7780582 DOI: 10.1177/0300060520965848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Accepted: 09/22/2020] [Indexed: 11/17/2022] Open
Abstract
OBJECTIVE Statins are recommended as the first-line treatments for reducing the risk of major adverse cardiovascular events (MACE) in patients with acute coronary syndrome (ACS). The present study aimed to establish the baseline lipid levels associated with the greatest benefit from statin therapy in this population. METHODS The study used a retrospective cohort methodology. In total, 636 patients with ACS were enrolled at Shaanxi Provincial People's Hospital from 2011 to 2013. Participants were divided into four groups (group 1, hyperlipidemia with inconsistent statin use; group 2, no hyperlipidemia with inconsistent statin use; group 3, no hyperlipidemia with consistent statin use; and group 4, hyperlipidemia with consistent statin use). RESULTS Patients in groups 3 (hazard ratio [HR] = 0.49, 95% confidence interval [CI] = 0.29-0.82) and 4 (HR = 0.21, 95% CI = 0.10-0.45) had lower risks of MACE than those in group 1. In subgroup analysis, patients in group 4 had a lower risk of MACE than those in group 3 (adjusted HR = 0.43, 95% CI = 0.21-0.89). CONCLUSION Sustained statin therapy is associated with a lower risk of adverse outcomes in patients with ACS, especially in those with higher baseline lipid levels.
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Affiliation(s)
- Ling Zhu
- Department of Cardiology, Shaanxi Provincial People's Hospital, Xi’an, Shaanxi, China
- Department of Cardiology, Third Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, China
| | - Ying Liu
- Department of Cardiology, Shaanxi Provincial People's Hospital, Xi’an, Shaanxi, China
- Department of Cardiology, Xianyang Hospital, Yan’an University, Xianyang, Shaanxi, China
| | - Wei Zhang
- Department of Cardiology, Shaanxi Provincial People's Hospital, Xi’an, Shaanxi, China
| | - Zhu Zhang
- Department of Cardiology, First Affiliated Hospital of Baotou Medical College, Baotou, Inner Mongolia, China
| | - Liqin Zhou
- Department of Cardiology, First Affiliated Hospital of Baotou Medical College, Baotou, Inner Mongolia, China
| | - Hong Zhang
- Department of Cardiology, First Affiliated Hospital of Baotou Medical College, Baotou, Inner Mongolia, China
| | - Yong Zhang
- Department of Cardiology, Shaanxi Provincial People's Hospital, Xi’an, Shaanxi, China
| | - Fuqiang Liu
- Department of Cardiology, Shaanxi Provincial People's Hospital, Xi’an, Shaanxi, China
| | - Peng Liu
- Department of Neurology, Shaanxi Provincial People's Hospital, Xi’an, Shaanxi, China
| | - Zhongwei Liu
- Department of Cardiology, Shaanxi Provincial People's Hospital, Xi’an, Shaanxi, China
| | - Junkui Wang
- Department of Cardiology, Shaanxi Provincial People's Hospital, Xi’an, Shaanxi, China
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Sanchis J, García Acuña JM, Raposeiras S, Barrabés JA, Cordero A, Martínez-Sellés M, Bardají A, Díez-Villanueva P, Marín F, Ruiz-Nodar JM, Vicente-Ibarra N, Alonso Salinas GL, Rigueiro P, Abu-Assi E, Formiga F, Núñez J, Núñez E, Ariza-Solé A. Comorbidity burden and revascularization benefit in elderly patients with acute coronary syndrome. ACTA ACUST UNITED AC 2020; 74:765-772. [PMID: 32778402 DOI: 10.1016/j.rec.2020.06.015] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Accepted: 06/11/2020] [Indexed: 11/30/2022]
Abstract
INTRODUCTION AND OBJECTIVES To evaluate the interaction between comorbidity burden and the benefits of in-hospital revascularization in elderly patients with non-ST-segment elevation acute coronary syndrome (NSTEACS). METHODS This retrospective study included 7211 patients aged ≥ 70 years from 11 Spanish NSTEACS registries. Six comorbidities were evaluated: diabetes, peripheral artery disease, cerebrovascular disease, chronic pulmonary disease, renal failure, and anemia. A propensity score was estimated to enable an adjusted comparison of in-hospital revascularization and conservative management. The end point was 1-year all-cause mortality. RESULTS In total, 1090 patients (15%) died. The in-hospital revascularization rate was 60%. Revascularization was associated with lower 1-year mortality; the strength of the association was unchanged by the addition of comorbidities to the model (HR, 0.61; 95%CI, 0.53-0.69; P=.0001). However, the effects of revascularization were attenuated in patients with renal failure, peripheral artery disease, and chronic pulmonary disease (P for interaction=.004, .007, and .03, respectively) but were not modified by diabetes, anemia, and previous stroke (P=.74, .51, and .28, respectively). Revascularization benefits gradually decreased as the number of comorbidities increased (from a HR of 0.48 [95%CI, 0.39-0.61] with 0 comorbidities to 0.83 [95%CI, 0.62-1.12] with ≥ 5 comorbidities; omnibus P=.016). The results were similar for the propensity score model. The same findings were obtained when invasive management was considered the exposure variable. CONCLUSIONS In-hospital revascularization improves 1-year mortality regardless of comorbidities in elderly patients with NSTEACS. However, the revascularization benefit is progressively reduced with an increased comorbidity burden. Renal failure, peripheral artery disease, and chronic lung disease were the comorbidities with the most detrimental effects on revascularization benefits.
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Affiliation(s)
- Juan Sanchis
- Servicio de Cardiología, Hospital Clínico Universitario de Valencia, INCLIVA, Universidad de Valencia, Valencia, Spain; Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Spain.
| | - Jose María García Acuña
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Spain; Servicio de Cardiología, Hospital Clínico Universitario de Santiago, Santiago de Compostela, A Coruña, Spain
| | - Sergio Raposeiras
- Servicio de Cardiología. Hospital Álvaro Cunqueiro de Vigo, Vigo, Pontevedra, Spain
| | - Jose A Barrabés
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Spain; Servicio de Cardiología, Hospital Universitario Vall d'Hebron, Universidad Autónoma de Barcelona, Barcelona, Spain
| | - Alberto Cordero
- Servicio de Cardiología, Hospital Clínico Universitario de San Juan, Alicante, Spain
| | - Manuel Martínez-Sellés
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Spain; Servicio de Cardiología, Hospital Universitario Gregorio Marañón, Universidad Complutense, Universidad Europea, Madrid, Spain
| | - Alfredo Bardají
- Servicio de Cardiología, Hospital Universitario de Tarragona Joan XXIII, IISPV, Universitat Rovira i Virgili, Tarragona, Spain
| | | | - Francisco Marín
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Spain; Servicio de Cardiología, Hospital Clínico Universitario Virgen de la Arrixaca, IMIB-Arrixaca, El Palmar, Murcia, Spain
| | - Juan M Ruiz-Nodar
- Servicio de Cardiología, Hospital General Universitario de Alicante, Alicante, Spain
| | | | - Gonzalo L Alonso Salinas
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Spain; Servicio de Cardiología, Hospital Universitario Ramón y Cajal de Madrid, Madrid, Spain
| | - Pedro Rigueiro
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Spain; Servicio de Cardiología, Hospital Clínico Universitario de Santiago, Santiago de Compostela, A Coruña, Spain
| | - Emad Abu-Assi
- Servicio de Cardiología. Hospital Álvaro Cunqueiro de Vigo, Vigo, Pontevedra, Spain
| | - Frances Formiga
- Servicio de Medicina Interna, Hospital Bellvitge, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Julio Núñez
- Servicio de Cardiología, Hospital Clínico Universitario de Valencia, INCLIVA, Universidad de Valencia, Valencia, Spain; Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Spain
| | - Eduardo Núñez
- Servicio de Cardiología, Hospital Clínico Universitario de Valencia, INCLIVA, Universidad de Valencia, Valencia, Spain; Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Spain
| | - Albert Ariza-Solé
- Servicio de Cardiología, Hospital Bellvitge, L'Hospitalet de Llobregat, Barcelona, Spain
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Madder RD, VanOosterhout S, Parker J, Sconzert K, Li Y, Kottenstette N, Madsen A, Sungur JM, Bergman P. Robotic telestenting performance in transcontinental and regional pre-clinical models. Catheter Cardiovasc Interv 2020; 97:E327-E332. [PMID: 32583944 DOI: 10.1002/ccd.29115] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Accepted: 06/07/2020] [Indexed: 01/01/2023]
Abstract
OBJECTIVES This study was conducted to evaluate the association of geographic distance with robotic telestenting performance by comparing performance measures in transcontinental and regional pre-clinical models of telestenting. BACKGROUND Robotic telestenting, in which percutaneous coronary intervention (PCI) is performed on a remotely located patient, might improve PCI access, but has not been attempted over vast distances likely required to reach many underserved regions. METHODS Telestenting performance was compared in regional (Boston to New York [206 miles]) and transcontinental (Boston to San Francisco [3,085 miles]) ex vivo models of telestenting, wherein a physician in Boston attempted robotic PCI on endovascular simulators in New York and San Francisco, respectively. PCI was attempted over both wired and fifth generation (5G)-wireless networks. Outcome measures included procedural success, procedural time, and perceived latency. RESULTS Procedural success was achieved in 20 consecutive target lesions in the regional model and in 16 consecutive target lesions in the transcontinental model. The transcontinental model had a greater latency than the regional model over both wired (121.5 ± 2.4 ms vs. 67.8 ± 0.9 ms; p < .001) and 5G-wireless networks (162.5 ± 1.1 ms vs. 86.6 ± 0.6 ms; p < .001), but perceived latencies were graded "imperceptible" in all cases in both models. Transcontinental and regional models did not have significantly different procedural times over wired (4.1 ± 1.9 min vs. 9.0 ± 7.1 min; p = .051) or 5G-wireless (3.0 ± 0.6 vs. 6.3 ± 1.2; p = .36) networks. CONCLUSIONS Transcontinental robotic manipulation of coronary devices is now possible and was not associated with adverse performance compared to robotic telestenting conducted regionally.
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Affiliation(s)
- Ryan D Madder
- Frederik Meijer Heart and Vascular Institute, Spectrum Health, Grand Rapids, Michigan
| | - Stacie VanOosterhout
- Frederik Meijer Heart and Vascular Institute, Spectrum Health, Grand Rapids, Michigan
| | - Jessica Parker
- Frederik Meijer Heart and Vascular Institute, Spectrum Health, Grand Rapids, Michigan
| | - Kalyna Sconzert
- Corindus, A Siemens Healthineers Company, Waltham, Massachusetts
| | - Yao Li
- Corindus, A Siemens Healthineers Company, Waltham, Massachusetts
| | | | - Abigail Madsen
- Corindus, A Siemens Healthineers Company, Waltham, Massachusetts
| | | | - Per Bergman
- Corindus, A Siemens Healthineers Company, Waltham, Massachusetts
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Cordero A, Rodríguez-Mañero M, Bertomeu-González V, García-Acuña JM, Baluja A, Agra-Bermejo R, Álvarez-Álvarez B, Cid B, Zuazola P, González-Juanatey JR. New-onset heart failure after acute coronary syndrome in patients without heart failure or left ventricular dysfunction. ACTA ACUST UNITED AC 2020; 74:494-501. [PMID: 32448726 DOI: 10.1016/j.rec.2020.03.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2019] [Accepted: 03/17/2020] [Indexed: 10/24/2022]
Abstract
INTRODUCTION AND OBJECTIVES Coronary heart disease is the leading cause of heart failure (HF). The aim of this study was to assess the risk of readmission for HF in patients with acute coronary syndrome without previous HF or left ventricular dysfunction. METHODS Prospective study of consecutive patients admitted for acute coronary syndrome in 2 institutions. Risk factors for HF were analyzed by competing risk regression, taking all-cause mortality as a competing event. RESULTS We included 5962 patients and 567 (9.5%) experienced at least 1 hospital readmission for acute HF. Median follow-up was 63 months and median time to HF readmission was 27.1 months. The cumulative incidence of HF was higher than mortality in the first 7 years after hospital discharge. A higher risk of HF readmission was associated with age, diabetes, previous coronary heart disease, GRACE score> 140, peripheral arterial disease, renal dysfunction, hypertension and atrial fibrillation; a lower risk was associated with optimal medical treatment. The incidence of HF in the first year of follow-up was 2.73% and no protective variables were found. A simple HF risk score predicted HF readmissions risk. CONCLUSIONS One out of 10 patients discharged after an acute coronary syndrome without previous HF or left ventricular dysfunction had new-onset HF and the risk was higher than the risk of mortality. A simple clinical score can estimate individual risk of HF readmission even in patients without previous HF or left ventricular dysfunction.
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Affiliation(s)
- Alberto Cordero
- Departamento de Cardiología, Hospital Universitario de San Juan, Alicante, Spain; Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Spain.
| | - Moisés Rodríguez-Mañero
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Spain; Departamento de Cardiología, Complejo Hospital Universitario de Santiago, Santiago de Compostela, A Coruña, Spain
| | - Vicente Bertomeu-González
- Departamento de Cardiología, Hospital Universitario de San Juan, Alicante, Spain; Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Spain
| | - José M García-Acuña
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Spain; Departamento de Cardiología, Complejo Hospital Universitario de Santiago, Santiago de Compostela, A Coruña, Spain
| | - Aurora Baluja
- Departamento de Anestesiología, Cuidados Intensivos y Tratamiento del Dolor, Complejo Hospitalario de la Universidad de Santiago, Santiago de Compostela, A Coruña, Spain; Grupo de Investigación del Paciente Crítico, Fundación Instituto de Investigación Sanitaria de Santiago de Compostela, Universidad de Santiago de Compostela, A Coruña, Spain
| | - Rosa Agra-Bermejo
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Spain; Departamento de Cardiología, Complejo Hospital Universitario de Santiago, Santiago de Compostela, A Coruña, Spain
| | - Belén Álvarez-Álvarez
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Spain; Departamento de Cardiología, Complejo Hospital Universitario de Santiago, Santiago de Compostela, A Coruña, Spain
| | - Belén Cid
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Spain; Departamento de Cardiología, Complejo Hospital Universitario de Santiago, Santiago de Compostela, A Coruña, Spain
| | - Pilar Zuazola
- Departamento de Cardiología, Hospital Universitario de San Juan, Alicante, Spain
| | - José R González-Juanatey
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Spain; Departamento de Cardiología, Complejo Hospital Universitario de Santiago, Santiago de Compostela, A Coruña, Spain
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Overcoming the Risk-Treatment Paradox for Non-ST-Segment Elevation Acute Coronary Syndromes. J Am Coll Cardiol 2019; 74:1462-1464. [PMID: 31514948 DOI: 10.1016/j.jacc.2019.07.031] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2019] [Accepted: 07/18/2019] [Indexed: 11/20/2022]
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