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NT-proBNP and Major Adverse Cardiovascular Events in Patients with ST-Segment Elevation Myocardial Infarction Who Received Primary Percutaneous Coronary Intervention: A Prospective Cohort Study. Cardiol Res Pract 2021; 2021:9943668. [PMID: 34765262 PMCID: PMC8577951 DOI: 10.1155/2021/9943668] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 08/08/2021] [Accepted: 09/25/2021] [Indexed: 11/25/2022] Open
Abstract
Background The prognostic significance of the amino-terminal fragment of the prohormone brain-type natriuretic peptide (NT-proBNP) in patients with ST-segment elevation myocardial infarction (STEMI) after percutaneous coronary intervention (PCI) has not been fully elucidated. Major adverse cardiovascular events (MACEs) are clinically viable indicators for the accurate, rapid, and safe evaluation of patients with STEMI. This study was designed to investigate the relationship between NT-proBNP levels and the occurrence of short-term MACEs in patients with STEMI who underwent emergency PCI. Methods This prospective cohort study included 405 patients with STEMI aged 20–90 years who underwent emergency PCI at the First People's Hospital of Changde City from April 6, 2017, to May 31, 2019. Stent thrombosis, reinfarction, congestive heart failure, unstable angina, and cardiac death were considered as MACEs in this study. The target-independent and -dependent variables were NT-proBNP at baseline and MACE, respectively. Results There were 28.25% of MACEs. Age, number of implanted stents, Killip class, infarction-related artery, applied intra-aortic balloon pump (IABP), creatine kinase (CK) peak value, CK-MB peak value, TnI peak value, and ST-segment resolution were independently associated with MACE (P < 0.05). In a multivariate model, after adjusting all potential covariates, Log2 NT-proBNP levels remained significantly associated with MACE, with an inflection point of 11.66. The effect sizes and confidence intervals of the left and right sides of the inflection point were 1.07 and 0.84–1.36 (P=0.5730) and 3.47 and 2.06–5.85 (P < 0.0001), respectively. Conclusions In patients with STEMI who underwent PCI, Log2 NT-proBNP was positively correlated with MACE within 1 month when the Log2 NT-proBNP was >11.66 (NT-proBNP >3.236 pg/mL).
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Coşkun A, Eren SH. R/S ratio in lead II, and the prognostic significance of red cell distribution width in acute coronary syndrome. World J Clin Cases 2019; 7:2217-2226. [PMID: 31531316 PMCID: PMC6718784 DOI: 10.12998/wjcc.v7.i16.2217] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Revised: 06/26/2019] [Accepted: 07/20/2019] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND In spite of developing medical technologies to discover the etiopathogenesis of diseases and developments in the treatment of coronary artery disease, acute coronary syndromes (ACS) continue to be the main cause of mortality and morbidity worldwide. New cardiac biomarkers and techniques are needed to help provide rapid diagnosis in order to evaluate risk in coronary artery patients.
AIM To evaluate the effects of R to S ratio (RSR) in the electrocardiograph of patients with ACS, from the point of the arising complication after myocardial infarction (MI), to three-vessel disease (TVD) and mortality.
METHODS The data of 1,296 patients with ACS, who presented to the emergency department of our hospital with chest pain between January 2014 and December 2018 and were admitted to the cardiology clinic, were retrospectively included in this cross-sectional cohort study. Patients with an RSR value less than I were assigned to group I, while those with an RSR value greater than I were assigned to group II.
RESULTS In our study, 466 (35.9%) of the 1,296 patients, 357 (38.3%) in group 1 and 109 (29.9%) in group 2, were female, with a mean age of 61.56 ± 9.42. ST-elevation MI 573 (44.2%), unstable angina (UA) 502 (38.7%) and non ST-elevation MI 220 (17%) were more prevalent in group I. Acute anterior MI 263 (20.3) in group I, and acute inferior MI 184 (14.2) in group II was higher. Ischemic heart failure was the most common complication. In group II, the red cell distribution width (RDW) was 15.42 ± 1.82, the gensini score was 48.39 ± 36.44, the left ventricular ejection fraction was 41.17 ± 10.41, the TVD was 111 (8.5), and the mortality rate was 72 (5.6), which was significantly higher than group I RDW; in MI with ST and non-ST-elevation, in TVD, mortality and complications were high and low in UA. In single and multivariate regression analyses, the variables were associated with ACS risk.
CONCLUSION RSR levels may be an auxiliary predictive value in ACS in terms of complications developing after MI, TVD, and mortality.
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Affiliation(s)
- Abuzer Coşkun
- Department of Emergency, Sivas Numune Hospital, Sivas 58040, Turkey
| | - Sevki Hakan Eren
- Department of Emergency Medicine, Gaziantep University School of Medicine, Gaziantep 27310, Turkey
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Hemingway H, Feder GS, Fitzpatrick NK, Denaxas S, Shah AD, Timmis AD. Using nationwide ‘big data’ from linked electronic health records to help improve outcomes in cardiovascular diseases: 33 studies using methods from epidemiology, informatics, economics and social science in the ClinicAl disease research using LInked Bespoke studies and Electronic health Records (CALIBER) programme. PROGRAMME GRANTS FOR APPLIED RESEARCH 2017. [DOI: 10.3310/pgfar05040] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BackgroundElectronic health records (EHRs), when linked across primary and secondary care and curated for research use, have the potential to improve our understanding of care quality and outcomes.ObjectiveTo evaluate new opportunities arising from linked EHRs for improving quality of care and outcomes for patients at risk of or with coronary disease across the patient journey.DesignEpidemiological cohort, health informatics, health economics and ethnographic approaches were used.Setting230 NHS hospitals and 226 general practices in England and Wales.ParticipantsUp to 2 million initially healthy adults, 100,000 people with stable coronary artery disease (SCAD) and up to 300,000 patients with acute coronary syndrome.Main outcome measuresQuality of care, fatal and non-fatal cardiovascular disease (CVD) events.Data platform and methodsWe created a novel research platform [ClinicAl disease research using LInked Bespoke studies and Electronic health Records (CALIBER)] based on linkage of four major sources of EHR data in primary care and national registries. We carried out 33 complementary studies within the CALIBER framework. We developed a web-based clinical decision support system (CDSS) in hospital chest pain clinics. We established a novel consented prognostic clinical cohort of SCAD patients.ResultsCALIBER was successfully established as a valid research platform based on linked EHR data in nearly 2 million adults with > 600 EHR phenotypes implemented on the web portal (seehttps://caliberresearch.org/portal). Despite national guidance, key opportunities for investigation and treatment were missed across the patient journey, resulting in a worse prognosis for patients in the UK compared with patients in health systems in other countries. Our novel, contemporary, high-resolution studies showed heterogeneous associations for CVD risk factors across CVDs. The CDSS did not alter the decision-making behaviour of clinicians in chest pain clinics. Prognostic models using real-world data validly discriminated risk of death and events, and were used in cost-effectiveness decision models.ConclusionsEmerging ‘big data’ opportunities arising from the linkage of records at different stages of a patient’s journey are vital to the generation of actionable insights into the diagnosis, risk stratification and cost-effective treatment of people at risk of, or with, CVD.Future workThe vast majority of NHS data remain inaccessible to research and this hampers efforts to improve efficiency and quality of care and to drive innovation. We propose three priority directions for further research. First, there is an urgent need to ‘unlock’ more detailed data within hospitals for the scale of the UK’s 65 million population. Second, there is a need for scaled approaches to using EHRs to design and carry out trials, and interpret the implementation of trial results. Third, large-scale, disease agnostic genetic and biological collections linked to such EHRs are required in order to deliver precision medicine and to innovate discovery.Study registrationCALIBER studies are registered as follows: study 2 – NCT01569139, study 4 – NCT02176174 and NCT01164371, study 5 – NCT01163513, studies 6 and 7 – NCT01804439, study 8 – NCT02285322, and studies 26–29 – NCT01162187. Optimising the Management of Angina is registered as Current Controlled Trials ISRCTN54381840.FundingThe National Institute for Health Research (NIHR) Programme Grants for Applied Research programme (RP-PG-0407-10314) (all 33 studies) and additional funding from the Wellcome Trust (study 1), Medical Research Council Partnership grant (study 3), Servier (study 16), NIHR Research Methods Fellowship funding (study 19) and NIHR Research for Patient Benefit (study 33).
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Affiliation(s)
- Harry Hemingway
- Institute of Health Informatics, University College London, London, UK
- Farr Institute of Health Informatics Research, University College London, London, UK
| | - Gene S Feder
- Centre for Academic Primary Care, School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Natalie K Fitzpatrick
- Institute of Health Informatics, University College London, London, UK
- Farr Institute of Health Informatics Research, University College London, London, UK
| | - Spiros Denaxas
- Institute of Health Informatics, University College London, London, UK
- Farr Institute of Health Informatics Research, University College London, London, UK
| | - Anoop D Shah
- Institute of Health Informatics, University College London, London, UK
- Farr Institute of Health Informatics Research, University College London, London, UK
| | - Adam D Timmis
- Farr Institute of Health Informatics Research, University College London, London, UK
- Barts Health NHS Trust, London, UK
- Farr Institute of Health Informatics Research, Queen Mary University of London, London, UK
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Di Angelantonio E, Chowdhury R, Sarwar N, Ray KK, Gobin R, Saleheen D, Thompson A, Gudnason V, Sattar N, Danesh J. B-Type Natriuretic Peptides and Cardiovascular Risk. Circulation 2009; 120:2177-87. [DOI: 10.1161/circulationaha.109.884866] [Citation(s) in RCA: 291] [Impact Index Per Article: 19.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Background—
Measurement of B-type natriuretic peptide (BNP) concentration or its precursor (N-terminal fragment [NT-proBNP]) is recommended in patients with symptoms of left ventricular dysfunction and in other settings, but the relevance of these peptides to cardiovascular disease (CVD) in general populations or in patients with stable vascular disease is uncertain.
Methods and Results—
Data were collated from 40 long-term prospective studies involving a total of 87 474 participants and 10 625 incident CVD outcomes. In a comparison of individuals in the top third with those in the bottom third of baseline values of natriuretic peptides, the combined risk ratio (RR), adjusted for several conventional risk factors, was 2.82 (95% confidence interval [CI], 2.40 to 3.33) for CVD. Analysis of the 6 studies with at least 250 CVD outcomes (which should be less prone to selective reporting than are smaller studies) yielded an adjusted RR of 1.94 (95% CI, 1.57 to 2.39). RRs were broadly similar with BNP or NT-proBNP (RR, 2.89 [95% CI, 1.91 to 4.38] and 2.82 [95% CI, 2.35 to 3.38], respectively) and by different baseline vascular risk (RR, 2.68 [95% CI, 2.07 to 3.47] in approximately general populations; RR, 3.35 [95% CI, 2.38 to 4.72] in people with elevated vascular risk factors; RR, 2.60 [95% CI, 1.99 to 3.38] in patients with stable CVD). Assay of BNP or NT-proBNP in addition to measurement of conventional CVD risk factors yielded generally modest improvements in risk discrimination.
Conclusions—
Available prospective studies indicate strong associations between circulating concentration of natriuretic peptides and CVD risk under a range of different circumstances. Further investigation is warranted, particularly in large general population studies, to clarify any predictive utility of these markers and to better control for publication bias.
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Affiliation(s)
- Emanuele Di Angelantonio
- From the Department of Public Health and Primary Care, University of Cambridge, Cambridge, England (E.D.A., R.C., N. Sarwar, K.K.R., R.G., A.T., D.S., J.D.); Section of Population Health Sciences, University of Aberdeen, Aberdeen, Scotland (N. Sarwar); BHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, Scotland (N. Sattar); and Icelandic Heart Association, Kopavogur, and University of Iceland, Reykjavik (V.G.)
| | - Rajiv Chowdhury
- From the Department of Public Health and Primary Care, University of Cambridge, Cambridge, England (E.D.A., R.C., N. Sarwar, K.K.R., R.G., A.T., D.S., J.D.); Section of Population Health Sciences, University of Aberdeen, Aberdeen, Scotland (N. Sarwar); BHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, Scotland (N. Sattar); and Icelandic Heart Association, Kopavogur, and University of Iceland, Reykjavik (V.G.)
| | - Nadeem Sarwar
- From the Department of Public Health and Primary Care, University of Cambridge, Cambridge, England (E.D.A., R.C., N. Sarwar, K.K.R., R.G., A.T., D.S., J.D.); Section of Population Health Sciences, University of Aberdeen, Aberdeen, Scotland (N. Sarwar); BHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, Scotland (N. Sattar); and Icelandic Heart Association, Kopavogur, and University of Iceland, Reykjavik (V.G.)
| | - Kausik K. Ray
- From the Department of Public Health and Primary Care, University of Cambridge, Cambridge, England (E.D.A., R.C., N. Sarwar, K.K.R., R.G., A.T., D.S., J.D.); Section of Population Health Sciences, University of Aberdeen, Aberdeen, Scotland (N. Sarwar); BHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, Scotland (N. Sattar); and Icelandic Heart Association, Kopavogur, and University of Iceland, Reykjavik (V.G.)
| | - Reeta Gobin
- From the Department of Public Health and Primary Care, University of Cambridge, Cambridge, England (E.D.A., R.C., N. Sarwar, K.K.R., R.G., A.T., D.S., J.D.); Section of Population Health Sciences, University of Aberdeen, Aberdeen, Scotland (N. Sarwar); BHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, Scotland (N. Sattar); and Icelandic Heart Association, Kopavogur, and University of Iceland, Reykjavik (V.G.)
| | - Danish Saleheen
- From the Department of Public Health and Primary Care, University of Cambridge, Cambridge, England (E.D.A., R.C., N. Sarwar, K.K.R., R.G., A.T., D.S., J.D.); Section of Population Health Sciences, University of Aberdeen, Aberdeen, Scotland (N. Sarwar); BHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, Scotland (N. Sattar); and Icelandic Heart Association, Kopavogur, and University of Iceland, Reykjavik (V.G.)
| | - Alexander Thompson
- From the Department of Public Health and Primary Care, University of Cambridge, Cambridge, England (E.D.A., R.C., N. Sarwar, K.K.R., R.G., A.T., D.S., J.D.); Section of Population Health Sciences, University of Aberdeen, Aberdeen, Scotland (N. Sarwar); BHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, Scotland (N. Sattar); and Icelandic Heart Association, Kopavogur, and University of Iceland, Reykjavik (V.G.)
| | - Vilmundur Gudnason
- From the Department of Public Health and Primary Care, University of Cambridge, Cambridge, England (E.D.A., R.C., N. Sarwar, K.K.R., R.G., A.T., D.S., J.D.); Section of Population Health Sciences, University of Aberdeen, Aberdeen, Scotland (N. Sarwar); BHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, Scotland (N. Sattar); and Icelandic Heart Association, Kopavogur, and University of Iceland, Reykjavik (V.G.)
| | - Naveed Sattar
- From the Department of Public Health and Primary Care, University of Cambridge, Cambridge, England (E.D.A., R.C., N. Sarwar, K.K.R., R.G., A.T., D.S., J.D.); Section of Population Health Sciences, University of Aberdeen, Aberdeen, Scotland (N. Sarwar); BHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, Scotland (N. Sattar); and Icelandic Heart Association, Kopavogur, and University of Iceland, Reykjavik (V.G.)
| | - John Danesh
- From the Department of Public Health and Primary Care, University of Cambridge, Cambridge, England (E.D.A., R.C., N. Sarwar, K.K.R., R.G., A.T., D.S., J.D.); Section of Population Health Sciences, University of Aberdeen, Aberdeen, Scotland (N. Sarwar); BHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, Scotland (N. Sattar); and Icelandic Heart Association, Kopavogur, and University of Iceland, Reykjavik (V.G.)
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