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Zhao J, Wang S, Zhao P, Huo Y, Li C, Zhou J. Comparison of Risk Assessment Strategies for Patients with Diabetes Mellitus and Stable Chest Pain: A Coronary Computed Tomography Angiography Study. J Diabetes Res 2022; 2022:8183487. [PMID: 35127952 PMCID: PMC8808234 DOI: 10.1155/2022/8183487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 12/14/2021] [Accepted: 01/07/2022] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND To compare two risk assessment strategies to identify individuals likely to benefit from further imaging testing in patients with diabetes mellitus (DM) and stable chest pain (SCP) suspected of obstructive coronary artery disease (CAD). METHODS 602 DM patients referred to coronary computed tomography angiography (CCTA) for SCP were included. They were divided into high- and low-risk groups according to the 2016 National Institute of Health and Care Excellence guideline-determined strategy (NICE strategy) which focused on symptom evaluation and 2019 European Society of Cardiology guideline-determined strategy (ESC strategy) which was based on pretest probability (PTP) sequentially determined by the ESC-PTP estimator and risk factor-weighted clinical likelihood (RF-CL) model, respectively. The associations of clinical outcomes with risk groups and net reclassification improvement (NRI) were evaluated. RESULTS The NICE and ESC strategy classified 44% and 39% patients into the low-risk group, respectively. Compared to the NICE strategy, the ESC strategy indicated stronger associations between risk groups and events (hazard ratios: 4.24 versus 1.91), intensive clinical management, and a positive NRI (27.71%, p < 0.0001). The application of the RF-CL model ameliorated the underestimation of risk in patients with borderline ESC-PTP, which principally account for the improvement of the ESC strategy. CONCLUSION Compared to the NICE strategy, the ESC strategy seemed to be associated with greater efficiency in identifying high risk individuals in patients with DM and SCP.
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Affiliation(s)
- Jia Zhao
- Department of Cardiology, Tianjin Chest Hospital, Tianjin, China
- Graduate School, Tianjin Medical University, Tianjin, China
| | - Shuo Wang
- Graduate School, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Pengyu Zhao
- School of Electrical and Information Engineering, Tianjin University, Tianjin, China
| | - Yong Huo
- Department of Cardiology, Peking University First Hospital, Beijing, China
| | - Chunjie Li
- Department of Cardiology, Tianjin Chest Hospital, Tianjin, China
| | - Jia Zhou
- Department of Cardiology, Tianjin Chest Hospital, Tianjin, China
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Mehta PK, Wei J, Shufelt C, Quesada O, Shaw L, Bairey Merz CN. Gender-Related Differences in Chest Pain Syndromes in the Frontiers in CV Medicine Special Issue: Sex & Gender in CV Medicine. Front Cardiovasc Med 2021; 8:744788. [PMID: 34869650 PMCID: PMC8635525 DOI: 10.3389/fcvm.2021.744788] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 10/13/2021] [Indexed: 12/30/2022] Open
Abstract
Coronary artery disease (CAD) is the leading cause of morbidity and mortality among both women and men, yet women continue to have delays in diagnosis and treatment. The lack of recognition of sex-specific biological and socio-cultural gender-related differences in chest pain presentation of CAD may, in part, explain these disparities. Sex and gender differences in pain mechanisms including psychological susceptibility, the autonomic nervous system (ANS) reactivity, and visceral innervation likely contribute to chest pain differences. CAD risk scores and typical/atypical angina characterization no longer appear relevant and should not be used in women and men. Women more often have ischemia with no obstructive CAD (INOCA) and myocardial infarction, contributing to diagnostic and therapeutic equipoise. Existing knowledge demonstrates that chest pain often does not relate to obstructive CAD, suggesting a more thoughtful approach to percutaneous coronary intervention (PCI) and medical therapy for chest pain in stable obstructive CAD. Emerging knowledge regarding the central and ANS and visceral pain processing in patients with and without angina offers explanatory mechanisms for chest pain and should be investigated with interdisciplinary teams of cardiologists, neuroscientists, bio-behavioral experts, and pain specialists. Improved understanding of sex and gender differences in chest pain, including biological pathways as well as sociocultural contributions, is needed to improve clinical care in both women and men.
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Affiliation(s)
- Puja K Mehta
- Division of Cardiology, Department of Medicine, Emory Clinical Cardiovascular Research Institute and Emory Women's Heart Center, Emory University School of Medicine, Atlanta, GA, United States
| | - Janet Wei
- Barbra Streisand Women's Heart Center, Cedars-Sinai Smidt Heart Institute, Los Angeles, CA, United States
| | - Chrisandra Shufelt
- Barbra Streisand Women's Heart Center, Cedars-Sinai Smidt Heart Institute, Los Angeles, CA, United States
| | - Odayme Quesada
- Women's Heart Center, The Christ Hospital Heart Institute, Cincinnati, OH, United States
| | - Leslee Shaw
- Department of Radiology, Weill Cornell Medicine, New York, NY, United States
| | - C Noel Bairey Merz
- Barbra Streisand Women's Heart Center, Cedars-Sinai Smidt Heart Institute, Los Angeles, CA, United States
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Zhou J, Li C, Cong H, Duan L, Wang H, Wang C, Tan Y, Liu Y, Zhang Y, Zhou X, Zhang H, Wang X, Ma Y, Yang J, Chen Y, Guo Z. Comparison of Different Investigation Strategies to Defer Cardiac Testing in Patients With Stable Chest Pain. JACC Cardiovasc Imaging 2021; 15:91-104. [PMID: 34656487 DOI: 10.1016/j.jcmg.2021.08.022] [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: 02/08/2021] [Revised: 08/30/2021] [Accepted: 08/31/2021] [Indexed: 12/28/2022]
Abstract
OBJECTIVES This study aimed to compare the current 5 investigation strategies to defer cardiac testing in patients with stable chest pain. BACKGROUND For the clinical management of stable chest pain, the identification of patients unlikely to benefit from further cardiac testing is important, but the most appropriate investigation strategy is unknown. METHODS A total of 4,207 patients referred to coronary computed tomography angiography for stable chest pain were classified into low- and high-risk groups according to the 2016 National Institute of Health and Care Excellence (NICE) guideline-determined strategy; PROMISE (Prospective Multicenter Imaging Study for Evaluation of Chest Pain) minimal risk tool-based strategy; 2019 European Society of Cardiology (ESC) guideline-determined strategy; and coronary artery calcium score (CACS), either in isolation (the CACS strategy) or as part of a weighted clinical likelihood model-based strategy (the CACS-CL strategy). The associations of obstructive coronary artery disease on coronary computed tomography angiography, major adverse cardiovascular events, and subsequent clinical management with risk groups according to different strategies were evaluated and compared. RESULTS The NICE, PROMISE, ESC, CACS, and CACS-CL strategies classified a proportion (22.63%, 29.21%, 41.84%, 46.76%, and 51.41%, respectively) of patients into low-risk groups. Compared with the NICE, PROMISE, ESC, and CACS strategies, the CACS-CL strategy had a stronger association between risk groups and obstructive coronary artery disease (odd ratios: 16.00 vs 2.93, 5.53, 7.94, and 10.39, respectively), major adverse cardiovascular events (HRs: 6.83 vs 1.90, 2.94, 4.23, and 5.13, respectively) and intensive subsequent clinical management as well as better metrics of diagnostic accuracy and positive net reclassification improvement. CONCLUSIONS Among contemporary strategies used to identify patients with stable chest pain at low risk, the use of CACS, especially when combined with clinical risk features, showed the strongest potential to effectively defer cardiac testing.
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Affiliation(s)
- Jia Zhou
- Department of Cardiology, Tianjin Chest Hospital, Tianjin, China.
| | - Chunjie Li
- Department of Emergency, Tianjin Chest Hospital, Tianjin, China
| | - Hongliang Cong
- Department of Cardiology, Tianjin Chest Hospital, Tianjin, China
| | - Lixiong Duan
- Graduate School of Tianjin Medical University, Tianjin, China
| | - Hao Wang
- National Center for Clinical Medical Research of Digestive Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Chengjian Wang
- Department of Cardiology, Tianjin Chest Hospital, Tianjin, China
| | - Yahang Tan
- Department of Cardiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Yujie Liu
- Department of Cardiology, Tianjin Chest Hospital, Tianjin, China
| | - Ying Zhang
- Department of Cardiology, Tianjin Chest Hospital, Tianjin, China
| | - Xiujun Zhou
- Department of Cardiology, Tianjin Chest Hospital, Tianjin, China
| | - Hong Zhang
- Department of Radiology, Tianjin Chest Hospital, Tianjin, China
| | - Xing Wang
- Department of Radiology, Tianjin Chest Hospital, Tianjin, China
| | - Yanhe Ma
- Department of Radiology, Tianjin Chest Hospital, Tianjin, China
| | - Junjie Yang
- Department of Cardiology, Chinese People's Liberation Army General Hospital, Beijing, China
| | - Yundai Chen
- Department of Cardiology, Chinese People's Liberation Army General Hospital, Beijing, China.
| | - Zhigang Guo
- Department of Cardiovascular Surgery, Tianjin Chest Hospital, Tianjin, China.
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Bodini A, Michelucci E, Di Giorgi N, Caselli C, Signore G, Neglia D, Smit JM, Scholte AJHA, Mincarone P, Leo CG, Pelosi G, Rocchiccioli S. Predictive Added Value of Selected Plasma Lipids to a Re-estimated Minimal Risk Tool. Front Cardiovasc Med 2021; 8:682785. [PMID: 34336947 PMCID: PMC8322727 DOI: 10.3389/fcvm.2021.682785] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 06/10/2021] [Indexed: 01/13/2023] Open
Abstract
Background: Lipidomics is emerging for biomarker discovery in cardiovascular disease, and circulating lipids are increasingly incorporated in risk models to predict cardiovascular events. Moreover, specific classes of lipids, such as sphingomyelins, ceramides, and triglycerides, have been related to coronary artery disease (CAD) severity and plaque characteristics. To avoid unnecessary testing, it is important to identify individuals at low CAD risk. The only pretest model available so far to rule out the presence of coronary atherosclerosis in patients with chest pain, but normal coronary arteries, is the minimal risk tool (MRT). Aim: Using state-of-the-art statistical methods, we aim to verify the additive predictive value of a set of lipids, derived from targeted plasma lipidomics of suspected CAD patients, to a re-estimated version of the MRT for ruling out the presence of coronary atherosclerosis assessed by coronary CT angiography (CCTA). Methods: Two hundred and fifty-six subjects with suspected stable CAD recruited from five European countries within H2020-SMARTool, undergoing CCTA and blood sampling for clinical biochemistry and lipidomics, were selected. The MRT was validated by regression methods and then re-estimated (reMRT). The reMRT was used as a baseline model in a likelihood ratio test approach to assess the added predictive value of each lipid from 13 among ceramides, triglycerides, and sphingomyelins. Except for one lipid, the analysis was carried out on more than 240 subjects for each lipid. A sensitivity analysis was carried out by considering two alternative models developed on the cohort as baseline models. Results: In 205 subjects, coronary atherosclerosis ranged from minimal lesions to overt obstructive CAD, while in 51 subjects (19.9%) the coronary arteries were intact. Four triglycerides and seven sphingomyelins were significantly (p < 0.05) and differentially expressed in the two groups and, at a lesser extent, one ceramide (p = 0.067). The probability of being at minimal risk was significantly better estimated by adding either Cer(d18:1/16:0) (p = 0.01), SM(40:2) (p = 0.04), or SM(41:1) at a lesser extent (p = 0.052) to reMRT than by applying the reMRT alone. The sensitivity analysis confirmed the relevance of these lipids. Furthermore, the addition of SM(34:1), SM(38:2), SM(41:2), and SM(42:4) improved the predictive performance of at least one of the other baseline models. None of the selected triglycerides was found to provide an added value. Conclusions: Plasma lipidomics can be a promising source of diagnostic and prognostic biomarkers in cardiovascular disease, exploitable not only to assess the risk of adverse events but also to identify subjects without coronary atherosclerosis, thus reducing unnecessary further testing in normal subjects.
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Affiliation(s)
- Antonella Bodini
- Institute for Applied Mathematics and Information Technologies "E. Magenes," National Research Council, Milan, Italy
| | - Elena Michelucci
- Institute of Clinical Physiology, National Research Council, Pisa, Italy
| | | | - Chiara Caselli
- Institute of Clinical Physiology, National Research Council, Pisa, Italy.,Cardiovascular Department, Fondazione Toscana G. Monasterio, Pisa, Italy
| | - Giovanni Signore
- NEST, Scuola Normale Superiore, Pisa, Italy.,Fondazione Pisana per la Scienza, San Giuliano Terme, Italy
| | - Danilo Neglia
- Cardiovascular Department, Fondazione Toscana G. Monasterio, Pisa, Italy
| | - Jeff M Smit
- Department of Cardiology, Leiden University Medical Centre, Leiden, Netherlands
| | | | - Pierpaolo Mincarone
- Institute for Research on Population and Social Policies, National Research Council, Brindisi, Italy
| | - Carlo G Leo
- Institute of Clinical Physiology, National Research Council, Lecce, Italy
| | - Gualtiero Pelosi
- Institute of Clinical Physiology, National Research Council, Pisa, Italy
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Mincarone P, Bodini A, Tumolo MR, Vozzi F, Rocchiccioli S, Pelosi G, Caselli C, Sabina S, Leo CG. Discrimination capability of pretest probability of stable coronary artery disease: a systematic review and meta-analysis suggesting how to improve validation procedures. BMJ Open 2021; 11:e047677. [PMID: 34244268 PMCID: PMC8268916 DOI: 10.1136/bmjopen-2020-047677] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
OBJECTIVE Externally validated pretest probability models for risk stratification of subjects with chest pain and suspected stable coronary artery disease (CAD), determined through invasive coronary angiography or coronary CT angiography, are analysed to characterise the best validation procedures in terms of discriminatory ability, predictive variables and method completeness. DESIGN Systematic review and meta-analysis. DATA SOURCES Global Health (Ovid), Healthstar (Ovid) and MEDLINE (Ovid) searched on 22 April 2020. ELIGIBILITY CRITERIA We included studies validating pretest models for the first-line assessment of patients with chest pain and suspected stable CAD. Reasons for exclusion: acute coronary syndrome, unstable chest pain, a history of myocardial infarction or previous revascularisation; models referring to diagnostic procedures different from the usual practices of the first-line assessment; univariable models; lack of quantitative discrimination capability. METHODS Eligibility screening and review were performed independently by all the authors. Disagreements were resolved by consensus among all the authors. The quality assessment of studies conforms to the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2). A random effects meta-analysis of area under the receiver operating characteristic curve (AUC) values for each validated model was performed. RESULTS 27 studies were included for a total of 15 models. Besides age, sex and symptom typicality, other risk factors are smoking, hypertension, diabetes mellitus and dyslipidaemia. Only one model considers genetic profile. AUC values range from 0.51 to 0.81. Significant heterogeneity (p<0.003) was found in all but two cases (p>0.12). Values of I2 >90% for most analyses and not significant meta-regression results undermined relevant interpretations. A detailed discussion of individual results was then carried out. CONCLUSIONS We recommend a clearer statement of endpoints, their consistent measurement both in the derivation and validation phases, more comprehensive validation analyses and the enhancement of threshold validations to assess the effects of pretest models on clinical management. PROSPERO REGISTRATION NUMBER CRD42019139388.
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Affiliation(s)
- Pierpaolo Mincarone
- Institute for Research on Population and Social Policies, National Research Council, Brindisi, Italy
| | - Antonella Bodini
- Institute for Applied Mathematics and Information Technologies "Enrico Magenes", National Research Council, Milan, Italy
| | - Maria Rosaria Tumolo
- Institute for Research on Population and Social Policies, National Research Council, Brindisi, Italy
| | - Federico Vozzi
- Institute of Clinical Physiology, National Research Council, Pisa, Italy
| | | | - Gualtiero Pelosi
- Institute of Clinical Physiology, National Research Council, Pisa, Italy
| | - Chiara Caselli
- Institute of Clinical Physiology, National Research Council, Pisa, Italy
| | - Saverio Sabina
- Institute of Clinical Physiology, National Research Council, Lecce, Italy
| | - Carlo Giacomo Leo
- Institute of Clinical Physiology, National Research Council, Lecce, Italy
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Mayala HA, Mafuru M, Mkangala A, Mayala M, Pallangyo P, Minja D, Janabi M, Zhao-Hui W. Factors influencing left ventricular ejection fraction in patients with coronary microvascular disease and obstructive coronary artery disease. BMC Res Notes 2020; 13:157. [PMID: 32178717 PMCID: PMC7077157 DOI: 10.1186/s13104-020-05008-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Accepted: 03/11/2020] [Indexed: 11/15/2022] Open
Abstract
Objective The aim of our research was to evaluate the relationship involving left ventricular ejection fraction, low density lipoprotein, B-type natriuretic peptide, Troponin I and coronary flow reserve, and to determine the predictors of left ventricular ejection fraction in patients with coronary microvascular disease and obstructive coronary artery disease, and in patients with coronary microvascular disease. Results The mean age was 58.5 ± 12.5 years. In patients with obstructive coronary disease and coronary microvascular disease we found low density lipoprotein-c had significant inverse relationship with left ventricular ejection fraction, left ventricular ejection fraction also had significant negative relationship with B-type natriuretic peptide, and Troponin-I. While a significant direct relationship turned out to be observed linking left ventricular ejection fraction with coronary flow reserve. Left ventricular ejection fraction had significant negative relationship with low density lipoprotein, and B-type natriuretic peptide in patients with obstructive coronary artery disease only. Age, blood pressure, lipid levels, red cell distribution width, glycated hemoglobin, symptoms, New York heart association classification, alcohol drinking, hypertension, diabetes mellitus, troponin levels and B-type natriuretic peptide were the predictors for left ventricular ejection fraction in coronary microvascular disease patients.
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Affiliation(s)
- Henry Anselmo Mayala
- Jakaya Kikwete Cardiac Institute, P. O. Box 65141, West Upanga, Kalenga Street, Ilala District, Dar es Salaam, Tanzania.
| | - Magesa Mafuru
- Tongji Medical College, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan, 43000, Hubei, China
| | - Abdalah Mkangala
- Jakaya Kikwete Cardiac Institute, P. O. Box 65141, West Upanga, Kalenga Street, Ilala District, Dar es Salaam, Tanzania
| | - Mark Mayala
- Muhimbili University of Health and Allied Science, Upanga, Ilala District, Dar es Salaam, Tanzania
| | - Pedro Pallangyo
- Jakaya Kikwete Cardiac Institute, P. O. Box 65141, West Upanga, Kalenga Street, Ilala District, Dar es Salaam, Tanzania
| | - Dickson Minja
- Jakaya Kikwete Cardiac Institute, P. O. Box 65141, West Upanga, Kalenga Street, Ilala District, Dar es Salaam, Tanzania
| | - Mohamed Janabi
- Jakaya Kikwete Cardiac Institute, P. O. Box 65141, West Upanga, Kalenga Street, Ilala District, Dar es Salaam, Tanzania
| | - Wang Zhao-Hui
- Tongji Medical College, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan, 43000, Hubei, China
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