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Ayayo SA, Kontopantelis E, Martin GP, Zghebi SS, Taxiarchi VP, Mamas MA. Temporal trends of in-hospital mortality and its determinants following percutaneous coronary intervention in patients with acute coronary syndrome in England and Wales: A population-based study between 2006 and 2021. Int J Cardiol 2024; 412:132334. [PMID: 38964546 DOI: 10.1016/j.ijcard.2024.132334] [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: 04/16/2024] [Revised: 06/18/2024] [Accepted: 07/01/2024] [Indexed: 07/06/2024]
Abstract
BACKGROUND There is limited data around drivers of changes in mortality over time. We aimed to examine the temporal changes in mortality and understand its determinants over time. METHODS 743,149 PCI procedures for patients from the British Cardiovascular Intervention Society (BCIS) database who were aged between 18 and 100 years and underwent Percutaneous Coronary Intervention (PCI) for Acute Coronary Syndrome (ACS) in England and Wales between 2006 and 2021 were included. We decomposed the contributing factors to the difference in the observed mortality proportions between 2006 and 2021 using Fairlie decomposition method. Multiple imputation was used to address missing data. RESULTS Overall, there was an increase in the mortality proportion over time, from 1.7% (95% CI: 1.5% to 1.9%) in 2006 to 3.1% (95% CI: 3.0% to 3.2%) in 2021. 61.2% of this difference was explained by the variables included in the model. ACS subtypes (percentage contribution: 14.67%; 95% CI: 5.76% to 23.59%) and medical history (percentage contribution: 13.50%; 95% CI: 4.33% to 22.67%) were the strongest contributors to the difference in the observed mortality proportions between 2006 and 2021. Also, there were different drivers to mortality changes between different time periods. Specifically, ACS subtypes and severity of presentation were amongst the strongest contributors between 2006 and 2012 while access site and demographics were the strongest contributors between 2012 and 2021. CONCLUSIONS Patient factors and the move towards ST-elevated myocardial infarction (STEMI) PCI have driven the short-term mortality changes following PCI for ACS the most.
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Affiliation(s)
- Sharon A Ayayo
- Division of Informatics, Imaging and Data Sciences, The University of Manchester, UK.
| | | | - Glen P Martin
- Division of Informatics, Imaging and Data Sciences, The University of Manchester, UK.
| | - Salwa S Zghebi
- Division of Population Health, Health Services Research and Primary care, The University of Manchester, UK.
| | - Vicky P Taxiarchi
- Centre for Women's Mental Health, Division of Psychology and Mental Health, The University of Manchester, UK.
| | - Mamas A Mamas
- Keele Cardiovascular Research Group, Keele University, Stoke on Trent, UK; National Institute for Health and Care Research (NIHR), Birmingham Biomedical Research Centre, UK.
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Shi Y, Zhu C, Qi W, Cao S, Chen X, Xu D, Wang C. Critical appraisal and assessment of bias among studies evaluating risk prediction models for in-hospital and 30-day mortality after percutaneous coronary intervention: a systematic review. BMJ Open 2024; 14:e085930. [PMID: 38951013 PMCID: PMC11218024 DOI: 10.1136/bmjopen-2024-085930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2024] [Accepted: 06/20/2024] [Indexed: 07/03/2024] Open
Abstract
OBJECTIVE We systematically assessed prediction models for the risk of in-hospital and 30-day mortality in post-percutaneous coronary intervention (PCI) patients. DESIGN Systematic review and narrative synthesis. DATA SOURCES Searched PubMed, Web of Science, Embase, Cochrane Library, CINAHL, CNKI, Wanfang Database, VIP Database and SinoMed for literature up to 31 August 2023. ELIGIBILITY CRITERIA The included literature consists of studies in Chinese or English involving PCI patients aged ≥18 years. These studies aim to develop risk prediction models and include designs such as cohort studies, case-control studies, cross-sectional studies or randomised controlled trials. Each prediction model must contain at least two predictors. Exclusion criteria encompass models that include outcomes other than death post-PCI, literature lacking essential details on study design, model construction and statistical analysis, models based on virtual datasets, and publications such as conference abstracts, grey literature, informal publications, duplicate publications, dissertations, reviews or case reports. We also exclude studies focusing on the localisation applicability of the model or comparative effectiveness. DATA EXTRACTION AND SYNTHESIS Two independent teams of researchers developed standardised data extraction forms based on CHecklist for critical Appraisal and data extraction for systematic Reviews of prediction Modelling Studies to extract and cross-verify data. They used Prediction model Risk Of Bias Assessment Tool (PROBAST) to assess the risk of bias and applicability of the model development or validation studies included in this review. RESULTS This review included 28 studies with 38 prediction models, showing area under the curve values ranging from 0.81 to 0.987. One study had an unclear risk of bias, while 27 studies had a high risk of bias, primarily in the area of statistical analysis. The models constructed in 25 studies lacked clinical applicability, with 21 of these studies including intraoperative or postoperative predictors. CONCLUSION The development of in-hospital and 30-day mortality prediction models for post-PCI patients is in its early stages. Emphasising clinical applicability and predictive stability is vital. Future research should follow PROBAST's low risk-of-bias guidelines, prioritising external validation for existing models to ensure reliable and widely applicable clinical predictions. PROSPERO REGISTRATION NUMBER CRD42023477272.
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Affiliation(s)
- Yankai Shi
- Hangzhou Normal University, Hangzhou, Zhejiang, China
| | - Chen Zhu
- Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Wenhao Qi
- Hangzhou Normal University, Hangzhou, Zhejiang, China
| | - Shihua Cao
- Hangzhou Normal University, Hangzhou, Zhejiang, China
| | - Xiaomin Chen
- Zhejiang Provincial People's Hospital, Hangzhou, China
| | - Dongping Xu
- Zhejiang Provincial People's Hospital, Hangzhou, China
| | - Cheng Wang
- Zhejiang Provincial People's Hospital, Hangzhou, China
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Chowdhury MRK, Stub D, Dinh D, Karim MN, Siddiquea BN, Billah B. Preoperative Variables of 30-Day Mortality in Adults Undergoing Percutaneous Coronary Intervention: A Systematic Review. Heart Lung Circ 2024; 33:951-961. [PMID: 38570260 DOI: 10.1016/j.hlc.2024.01.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Revised: 01/09/2024] [Accepted: 01/12/2024] [Indexed: 04/05/2024]
Abstract
BACKGROUND AND AIM Risk adjustment following percutaneous coronary intervention (PCI) is vital for clinical quality registries, performance monitoring, and clinical decision-making. There remains significant variation in the accuracy and nature of risk adjustment models utilised in international PCI registries/databases. Therefore, the current systematic review aims to summarise preoperative variables associated with 30-day mortality among patients undergoing PCI, and the other methodologies used in risk adjustments. METHOD The MEDLINE, EMBASE, CINAHL, and Web of Science databases until October 2022 without any language restriction were systematically searched to identify preoperative independent variables related to 30-day mortality following PCI. Information was systematically summarised in a descriptive manner following the Checklist for critical Appraisal and data extraction for systematic Reviews of prediction Modelling Studies checklist. The quality and risk of bias of all included articles were assessed using the Prediction Model Risk Of Bias Assessment Tool. Two independent investigators took part in screening and quality assessment. RESULTS The search yielded 2,941 studies, of which 42 articles were included in the final assessment. Logistic regression, Cox-proportional hazard model, and machine learning were utilised by 27 (64.3%), 14 (33.3%), and one (2.4%) article, respectively. A total of 74 independent preoperative variables were identified that were significantly associated with 30-day mortality following PCI. Variables that repeatedly used in various models were, but not limited to, age (n=36, 85.7%), renal disease (n=29, 69.0%), diabetes mellitus (n=17, 40.5%), cardiogenic shock (n=14, 33.3%), gender (n=14, 33.3%), ejection fraction (n=13, 30.9%), acute coronary syndrome (n=12, 28.6%), and heart failure (n=10, 23.8%). Nine (9; 21.4%) studies used missing values imputation, and 15 (35.7%) articles reported the model's performance (discrimination) with values ranging from 0.501 (95% confidence interval [CI] 0.472-0.530) to 0.928 (95% CI 0.900-0.956), and four studies (9.5%) validated the model on external/out-of-sample data. CONCLUSIONS Risk adjustment models need further improvement in their quality through the inclusion of a parsimonious set of clinically relevant variables, appropriately handling missing values and model validation, and utilising machine learning methods.
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Affiliation(s)
- Mohammad Rocky Khan Chowdhury
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Vic, Australia
| | - Dion Stub
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Vic, Australia; Department of Cardiology, The Alfred Hospital, Melbourne, Vic, Australia
| | - Diem Dinh
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Vic, Australia
| | - Md Nazmul Karim
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Vic, Australia
| | - Bodrun Naher Siddiquea
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Vic, Australia
| | - Baki Billah
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Vic, Australia.
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Pate A, Sperrin M, Riley RD, Peek N, Van Staa T, Sergeant JC, Mamas MA, Lip GYH, O'Flaherty M, Barrowman M, Buchan I, Martin GP. Calibration plots for multistate risk predictions models. Stat Med 2024; 43:2830-2852. [PMID: 38720592 DOI: 10.1002/sim.10094] [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: 04/04/2023] [Revised: 03/06/2024] [Accepted: 04/17/2024] [Indexed: 06/15/2024]
Abstract
INTRODUCTION There is currently no guidance on how to assess the calibration of multistate models used for risk prediction. We introduce several techniques that can be used to produce calibration plots for the transition probabilities of a multistate model, before assessing their performance in the presence of random and independent censoring through a simulation. METHODS We studied pseudo-values based on the Aalen-Johansen estimator, binary logistic regression with inverse probability of censoring weights (BLR-IPCW), and multinomial logistic regression with inverse probability of censoring weights (MLR-IPCW). The MLR-IPCW approach results in a calibration scatter plot, providing extra insight about the calibration. We simulated data with varying levels of censoring and evaluated the ability of each method to estimate the calibration curve for a set of predicted transition probabilities. We also developed evaluated the calibration of a model predicting the incidence of cardiovascular disease, type 2 diabetes and chronic kidney disease among a cohort of patients derived from linked primary and secondary healthcare records. RESULTS The pseudo-value, BLR-IPCW, and MLR-IPCW approaches give unbiased estimates of the calibration curves under random censoring. These methods remained predominately unbiased in the presence of independent censoring, even if the censoring mechanism was strongly associated with the outcome, with bias concentrated in low-density regions of predicted transition probability. CONCLUSIONS We recommend implementing either the pseudo-value or BLR-IPCW approaches to produce a calibration curve, combined with the MLR-IPCW approach to produce a calibration scatter plot. The methods have been incorporated into the "calibmsm" R package available on CRAN.
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Affiliation(s)
- Alexander Pate
- Centre for Health Informatics, Imaging and Data Science, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Matthew Sperrin
- Centre for Health Informatics, Imaging and Data Science, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- NIHR Manchester Biomedical Research Centre, University of Manchester, Manchester, UK
| | - Richard D Riley
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Niels Peek
- Centre for Health Informatics, Imaging and Data Science, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- NIHR Manchester Biomedical Research Centre, University of Manchester, Manchester, UK
| | - Tjeerd Van Staa
- Centre for Health Informatics, Imaging and Data Science, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Jamie C Sergeant
- Centre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
- Centre for Biostatistics, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Mamas A Mamas
- Keele Cardiovascular Research Group, Keele University, Stoke-on-Trent, UK
| | - Gregory Y H Lip
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, UK
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Martin O'Flaherty
- NIHR Applied Research Collaboration NW Coast, University of Liverpool, Liverpool, UK
- Independent Researcher, Manchester, UK
| | - Michael Barrowman
- NIHR Applied Research Collaboration NW Coast, University of Liverpool, Liverpool, UK
| | - Iain Buchan
- Independent Researcher, Manchester, UK
- Institute of Population Health, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, UK
| | - Glen P Martin
- Centre for Health Informatics, Imaging and Data Science, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
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Brandt MC, Alber H, Berger R, Binder RK, Mascherbauer J, Niessner A, Schmid M, Wernly B, Frick M. Same-day discharge after percutaneous coronary procedures-Structured review and comprehensive meta-analysis. Wien Klin Wochenschr 2024; 136:44-60. [PMID: 38743083 PMCID: PMC11093862 DOI: 10.1007/s00508-024-02347-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] [Accepted: 03/11/2024] [Indexed: 05/16/2024]
Abstract
INTRODUCTION Percutaneous coronary intervention is a well-established revascularization strategy for patients with coronary artery disease. The safety and feasibility of performing these procedures on a same-day discharge basis for selected patients has been studied in a large number of mostly nonrandomized trials. An up to date literature review should focus on trials with radial access, representing the current standard for coronary procedures in Austria and other European countries. METHODS The aim of this consensus statement is to review the most recent evidence for the safety and feasibility of performing same-day discharge procedures in selected patients. A structured literature search was performed using prespecified search criteria, focusing on trials with radial access procedures. RESULTS A total of 44 clinical trials and 4 large meta-analyses were retrieved, spanning 21 years of clinical evidence from 2001 to 2022. The outcome data from a wide range of clinical settings were unanimous in showing no negative effect on early (24 h) or late (30 day) major adverse events after same-day discharge coronary procedures. Based on nine prospective trials a comprehensive meta-analysis was compiled. Using 1‑month major adverse events data the pooled odds ratio of same-day discharge versus overnight stay procedures was 0.66 (95% confidence interval, CI 0.35-01.24; p = 0.19; I2 0%), indicating a noninferiority in carefully selected patients. CONCLUSION Outcome data from same-day discharge coronary intervention trials with radial access confirm the robust safety profile showing no increase in the risk of major adverse events compared to overnight stay.
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Affiliation(s)
- Mathias C Brandt
- Department of Internal Medicine II, Paracelsus Medical University, Salzburg, Austria
| | - Hannes Alber
- Department of Cardiology, Public Hospital Klagenfurt am Woerthersee, Klagenfurt am Woerthersee, Austria
| | - Rudolf Berger
- Department of Internal Medicine, Brothers of Saint John of God Eisenstadt, Eisenstadt, Austria
| | - Ronald K Binder
- Department of Cardiology and Intensive Care, Klinikum Wels, Wels, Austria
| | - Julia Mascherbauer
- Department of Internal Medicine 3/Cardiology, University Hospital St. Pölten, Karl Landsteiner University of Health Sciences, Krems, Austria
| | - Alexander Niessner
- Department of Internal Medicine II, Division of Cardiology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
| | - Martin Schmid
- Department of Cardiology, Ordensklinikum Linz Elisabethinen, Linz, Austria
| | - Bernhard Wernly
- Department of Internal Medicine, General Hospital Oberndorf, Teaching Hospital of the Paracelsus Medical University, Salzburg, Austria
| | - Matthias Frick
- Department of Internal Medicine I and Cardiology, Teaching Hospital Feldkirch, Feldkirch, Austria
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Chow C, Doll J. Contemporary Risk Models for In-Hospital and 30-Day Mortality After Percutaneous Coronary Intervention. Curr Cardiol Rep 2024; 26:451-457. [PMID: 38592570 DOI: 10.1007/s11886-024-02047-0] [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] [Accepted: 03/18/2024] [Indexed: 04/10/2024]
Abstract
PURPOSE OF REVIEW Risk models for mortality after percutaneous coronary intervention (PCI) are underutilized in clinical practice though they may be useful during informed consent, risk mitigation planning, and risk adjustment of hospital and operator outcomes. This review analyzed contemporary risk models for in-hospital and 30-day mortality after PCI. RECENT FINDINGS We reviewed eight contemporary risk models. Age, sex, hemodynamic status, acute coronary syndrome type, heart failure, and kidney disease were consistently found to be independent risk factors for mortality. These models provided good discrimination (C-statistic 0.85-0.95) for both pre-catheterization and comprehensive risk models that included anatomic variables. There are several excellent models for PCI mortality risk prediction. Choice of the model will depend on the use case and population, though the CathPCI model should be the default for in-hospital mortality risk prediction in the United States. Future interventions should focus on the integration of risk prediction into clinical care.
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Affiliation(s)
- Christine Chow
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Jacob Doll
- Department of Medicine, University of Washington, Seattle, WA, USA.
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De Silva K, Li Kam Wa ME, Wells T, Mozid A, Ladwiniec A, Hynes BG, Kotecha A, Ratib K, Biswas S, Amabile N, Deharo P, McEntagart M, Spratt JC, Digne F, Hogg M, Mailey JA, Walsh SJ, Kalra SS. The everolimus eluting Synergy Megatron TM drug-eluting stent platform: Early outcomes from the European Synergy Megatron TM Implanters' Registry. Catheter Cardiovasc Interv 2023; 102:1222-1228. [PMID: 37948428 PMCID: PMC10903108 DOI: 10.1002/ccd.30902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 10/03/2023] [Accepted: 10/22/2023] [Indexed: 11/12/2023]
Abstract
BACKGROUND The Synergy MegatronTM is an everolimus-drug eluting stent that may offer advantages in the treatment of aorto-ostial disease and large proximal vessels. AIMS To report the short- to medium-term clinical outcomes from the European Synergy MegatronTM Implanters' Registry. METHODS This registry was an investigator-initiated study conducted at 14 European centers. The primary outcome was target lesion failure (TLF), defined as the composite of cardiovascular death, target vessel myocardial infarction (MI), and target lesion revascularisation. RESULTS Five hundred seventy-five patients underwent PCI with MegatronTM between 2019 and 2021. Patients were 69 ± 12 years old, 26% had diabetes mellitus, 24% had moderate-severe left ventricular impairment and 59% presented with an acute coronary syndrome. 15% were deemed prohibitively high risk for surgical revascularisation. The target vessel involved the left main stem in 55%, the ostium of the RCA in 13% and was a true bifurcation (Medina 1,1,1) in 50%. At 1 year, TLF was observed in 40 patients, with 26 (65%) occurring within the first 30 days. The cumulative incidence of TLF was 4.5% at 30 days and 8.6% (95% CI 6.3-11.7) at 1 year. The incidence of stent thrombosis was 0.5% with no late stent thromboses. By multivariate analysis, the strongest independent predictors of TLF were severe left ventricular impairment (HR 3.43, 95% CI: 1.67-6.76, p < 0.001) and a target vessel involving the left main (HR 4.00 95% CI 1.81-10.15 p = 0.001). CONCLUSIONS Use of the Synergy MegatronTM everolimus eluting stent in a 'real-world' setting shows favorable outcomes at 30 days and 1 year.
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Affiliation(s)
- Kalpa De Silva
- Cardiovascular Division, St Thomas' HospitalGuy's and St Thomas' NHS Foundation TrustLondonUK
- Coronary Research Group, British Heart Foundation Centre of Research ExcellenceKing's College LondonLondonUK
| | - Matthew E. Li Kam Wa
- Cardiovascular Division, St Thomas' HospitalGuy's and St Thomas' NHS Foundation TrustLondonUK
- Coronary Research Group, British Heart Foundation Centre of Research ExcellenceKing's College LondonLondonUK
| | - Tim Wells
- Cardiology Department, Salisbury District HospitalSalisbury NHS Foundation TrustSalisburyUK
| | - Abdul Mozid
- Cardio Respiratory Clinical Services Unit, Leeds General InfirmaryThe Leeds Teaching Hospitals NHS TrustLeedsUK
| | - Andrew Ladwiniec
- Department of Cardiology, Glenfield HospitalUniversity Hospitals of Leicester NHS TrustLeicesterUK
| | - Brian G. Hynes
- Cardiology DepartmentUniversity Hospital GalwayGalwayIreland
| | - Ashish Kotecha
- Department of Cardiology, Royal Devon and Exeter HospitalRoyal Devon University Healthcare NHS Foundation TrustExeterUK
| | - Karim Ratib
- Cardiology Department, Royal Stoke University HospitalUniversity Hospitals of North Midlands NHS TrustStokeUK
| | - Sinjini Biswas
- Bristol Heart InstituteUniversity Hospitals Bristol NHS Foundation TrustBristolUK
| | - Nicolas Amabile
- Cardiology DepartmentL'Institut Mutualiste MontsourisParisFrance
| | - Pierre Deharo
- Cardiology DepartmentAssistance Publique Hôpitaux de MarseilleMarseilleFrance
| | | | - James C. Spratt
- Cardiology Clinical Academic Group, St George's University HospitalSt George's University Hospitals NHS Foundation TrustLondonUK
| | - Franck Digne
- Cardiology DepartmentCentre Cardiologique du NordSaint DenisFrance
| | - Meadhbh Hogg
- Department of CardiologyBelfast Health and Social Care TrustBelfastUK
| | | | - Simon J. Walsh
- Department of CardiologyBelfast Health and Social Care TrustBelfastUK
| | - Sundeep S. Kalra
- Cardiology Department, Royal Free HospitalRoyal Free London NHS Foundation TrustLondonUK
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Mamas MA, Roffi M, Fröbert O, Chieffo A, Beneduce A, Matetic A, Tonino PAL, Paunovic D, Jacobs L, Debrus R, El Aissaoui J, van Leeuwen F, Kontopantelis E. Predicting target lesion failure following percutaneous coronary intervention through machine learning risk assessment models. EUROPEAN HEART JOURNAL. DIGITAL HEALTH 2023; 4:433-443. [PMID: 38045434 PMCID: PMC10689920 DOI: 10.1093/ehjdh/ztad051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 08/22/2023] [Indexed: 12/05/2023]
Abstract
Aims Central to the practice of precision medicine in percutaneous coronary intervention (PCI) is a risk-stratification tool to predict outcomes following the procedure. This study is intended to assess machine learning (ML)-based risk models to predict clinically relevant outcomes in PCI and to support individualized clinical decision-making in this setting. Methods and results Five different ML models [gradient boosting classifier (GBC), linear discrimination analysis, Naïve Bayes, logistic regression, and K-nearest neighbours algorithm) for the prediction of 1-year target lesion failure (TLF) were trained on an extensive data set of 35 389 patients undergoing PCI and enrolled in the global, all-comers e-ULTIMASTER registry. The data set was split into a training (80%) and a test set (20%). Twenty-three patient and procedural characteristics were used as predictive variables. The models were compared for discrimination according to the area under the receiver operating characteristic curve (AUC) and for calibration. The GBC model showed the best discriminative ability with an AUC of 0.72 (95% confidence interval 0.69-0.75) for 1-year TLF on the test set. The discriminative ability of the GBC model for the components of TLF was highest for cardiac death with an AUC of 0.82, followed by target vessel myocardial infarction with an AUC of 0.75 and clinically driven target lesion revascularization with an AUC of 0.68. The calibration was fair until the highest risk deciles showed an underestimation of the risk. Conclusion Machine learning-derived predictive models provide a reasonably accurate prediction of 1-year TLF in patients undergoing PCI. A prospective evaluation of the predictive score is warranted. Registration Clinicaltrial.gov identifier is NCT02188355.
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Affiliation(s)
- Mamas A Mamas
- Keele Cardiovascular Research Group, Centre for Prognosis Research, Institutes of Applied Clinical Science and Primary Care and Health Sciences, Keele University, Keele ST5 5BG, Newcastle, UK
| | - Marco Roffi
- Department of Cardiology, University Hospitals Geneva, Geneva 1205, Switzerland
| | - Ole Fröbert
- Faculty of Health, Örebro University, Örebro 701 82, Sweden
| | - Alaide Chieffo
- Interventional Cardiology Unit, San Raffaele Scientific Institute, Milan 20132, Italy
| | - Alessandro Beneduce
- Interventional Cardiology Unit, San Raffaele Scientific Institute, Milan 20132, Italy
| | - Andrija Matetic
- Keele Cardiovascular Research Group, Centre for Prognosis Research, Institutes of Applied Clinical Science and Primary Care and Health Sciences, Keele University, Keele ST5 5BG, Newcastle, UK
- Department of Cardiology, University Hospital of Split, Split 21000, Croatia
| | - Pim A L Tonino
- Department of Cardiology, Catharina Hospital, Eindhoven 5623, The Netherlands
| | - Dragica Paunovic
- Board of Directors, European Cardiovascular Research Centre (CERC), Massy 91300, France
| | - Lotte Jacobs
- Medical and Clinical Division, Terumo Europe NV, Leuven 3001, Belgium
| | - Roxane Debrus
- Biostatistics Division, Genmab A/S, Copenhagen 1560, Denmark
| | - Jérémy El Aissaoui
- Artificial Intelligence Division, Business and Decision, Woluwe St Lambert, Brusells 1200, Belgium
| | - Frank van Leeuwen
- Medical and Clinical Division, Terumo Europe NV, Leuven 3001, Belgium
| | - Evangelos Kontopantelis
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester M13 9PL, UK
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Carciotto G, Costa F, Garcia-Ruiz V, Galli M, Soraci E, Magliarditi A, Teresi L, Nasso E, Carerj S, Di Bella G, Micari A, De Luca G. Individualization of Duration of Dual Antiplatelet Therapy after Coronary Stenting: A Comprehensive, Evidence-Based Review. J Clin Med 2023; 12:7144. [PMID: 38002756 PMCID: PMC10672070 DOI: 10.3390/jcm12227144] [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: 10/11/2023] [Revised: 11/08/2023] [Accepted: 11/15/2023] [Indexed: 11/26/2023] Open
Abstract
Dual antiplatelet therapy (DAPT), comprising aspirin and a P2Y12 receptor inhibitor, is the cornerstone of post-percutaneous coronary intervention treatment to prevent stent thrombosis and reduce the risk of adverse cardiovascular events. The selection of an optimal DAPT regimen, considering the interplay of various antiplatelet agents, patient profiles, and procedural characteristics, remains an evolving challenge. Traditionally, a standard duration of 12 months has been recommended for DAPT in most patients. While contemporary guidelines provide general frameworks, DAPT modulation with longer or shorter treatment courses followed by aspirin or P2Y12 inhibitor monotherapy are evolving towards an individualized strategy to optimize the balance between efficacy and safety. This review comprehensively examines the current landscape of DAPT strategies after coronary stenting, with a focus on emerging evidence for treatment individualization.
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Affiliation(s)
- Gabriele Carciotto
- Division of Cardiology, Policlinico G Martino, 98125 Messina, Italy; (G.C.); (L.T.)
| | - Francesco Costa
- BIOMORF Department, University of Messina, 98122 Messina, Italy; (F.C.); (A.M.)
| | | | - Mattia Galli
- Maria Cecilia Hospital, GVM Care & Research, 48033 Cotignola, Italy;
| | - Emmanuele Soraci
- U.O.S. Emodinamica, Department of Medicine, Ospedale Barone Romeo di Patti, 98066 Messina, Italy; (E.S.); (A.M.)
| | - Alberto Magliarditi
- U.O.S. Emodinamica, Department of Medicine, Ospedale Barone Romeo di Patti, 98066 Messina, Italy; (E.S.); (A.M.)
| | - Lucio Teresi
- Division of Cardiology, Policlinico G Martino, 98125 Messina, Italy; (G.C.); (L.T.)
| | - Enrica Nasso
- Department of Clinical and Experimental Medicine, University of Messina, 98122 Messina, Italy; (E.N.); (S.C.); (G.D.B.)
| | - Scipione Carerj
- Department of Clinical and Experimental Medicine, University of Messina, 98122 Messina, Italy; (E.N.); (S.C.); (G.D.B.)
| | - Gianluca Di Bella
- Department of Clinical and Experimental Medicine, University of Messina, 98122 Messina, Italy; (E.N.); (S.C.); (G.D.B.)
| | - Antonio Micari
- BIOMORF Department, University of Messina, 98122 Messina, Italy; (F.C.); (A.M.)
| | - Giuseppe De Luca
- Department of Clinical and Experimental Medicine, University of Messina, 98122 Messina, Italy; (E.N.); (S.C.); (G.D.B.)
- Division of Cardiology, IRCCS Hospital Galeazzi-Sant’Ambrogio, 20157 Milan, Italy
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10
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Hannan EL, Zhong Y, Cozzens K, Ling FSK, Jacobs AK, King SB, Tamis-Holland J, Venditti FJ, Berger PB. New York Risk Model and Simplified Risk Score for In-Hospital/30-Day Mortality for Percutaneous Coronary Intervention. Am J Cardiol 2023; 206:23-30. [PMID: 37677879 DOI: 10.1016/j.amjcard.2023.08.075] [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: 07/12/2023] [Revised: 08/07/2023] [Accepted: 08/13/2023] [Indexed: 09/09/2023]
Abstract
Risk models and risk scores derived from those models require periodic updating to account for changes in procedural performance, patient mix, and new risk factors added to existing systems. No risk model or risk score exists for predicting in-hospital/30-day mortality for percutaneous coronary interventions (PCIs) using contemporary data. This study develops an updated risk model and simplified risk score for in-hospital/30-day mortality following PCI. To accomplish this, New York's Percutaneous Coronary Intervention Reporting System was used to develop a logistic regression model and a simplified risk score model for predicting in-hospital/30-day mortality and to validate both models based on New York data from the previous year. A total of 54,770 PCI patients from 2019 were used to develop the models. Twelve different risk factors and 27 risk factor categories were used in the models. Both models displayed excellent discrimination for the development and validation samples (range from 0.894 to 0.896) and acceptable calibration, but the full logistic model had superior calibration, particularly among higher-risk patients. In conclusion, both the PCI risk model and its simplified risk score model provide excellent discrimination and although the full risk model requires the use of a hand-held device for estimating individual patient risk, it provides somewhat better calibration, especially among higher-risk patients.
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Affiliation(s)
- Edward L Hannan
- University at Albany, State University of New York, Albany, New York.
| | - Ye Zhong
- University at Albany, State University of New York, Albany, New York
| | - Kimberly Cozzens
- University at Albany, State University of New York, Albany, New York
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11
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Pate A, Sperrin M, Riley RD, Sergeant JC, Van Staa T, Peek N, Mamas MA, Lip GYH, O'Flaherty M, Buchan I, Martin GP. Developing prediction models to estimate the risk of two survival outcomes both occurring: A comparison of techniques. Stat Med 2023; 42:3184-3207. [PMID: 37218664 PMCID: PMC11155421 DOI: 10.1002/sim.9771] [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: 10/25/2022] [Revised: 03/21/2023] [Accepted: 04/26/2023] [Indexed: 05/24/2023]
Abstract
INTRODUCTION This study considers the prediction of the time until two survival outcomes have both occurred. We compared a variety of analytical methods motivated by a typical clinical problem of multimorbidity prognosis. METHODS We considered five methods: product (multiply marginal risks), dual-outcome (directly model the time until both events occur), multistate models (msm), and a range of copula and frailty models. We assessed calibration and discrimination under a variety of simulated data scenarios, varying outcome prevalence, and the amount of residual correlation. The simulation focused on model misspecification and statistical power. Using data from the Clinical Practice Research Datalink, we compared model performance when predicting the risk of cardiovascular disease and type 2 diabetes both occurring. RESULTS Discrimination was similar for all methods. The product method was poorly calibrated in the presence of residual correlation. The msm and dual-outcome models were the most robust to model misspecification but suffered a drop in performance at small sample sizes due to overfitting, which the copula and frailty model were less susceptible to. The copula and frailty model's performance were highly dependent on the underlying data structure. In the clinical example, the product method was poorly calibrated when adjusting for 8 major cardiovascular risk factors. DISCUSSION We recommend the dual-outcome method for predicting the risk of two survival outcomes both occurring. It was the most robust to model misspecification, although was also the most prone to overfitting. The clinical example motivates the use of the methods considered in this study.
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Affiliation(s)
- Alexander Pate
- Division of Informatics, Imaging and Data Science, Faculty of Biology, Medicine and HealthUniversity of Manchester, Manchester Academic Health Science CentreManchesterUK
| | - Matthew Sperrin
- Division of Informatics, Imaging and Data Science, Faculty of Biology, Medicine and HealthUniversity of Manchester, Manchester Academic Health Science CentreManchesterUK
| | - Richard D. Riley
- Institute of Applied Health ResearchUniversity of BirminghamBirminghamUK
| | - Jamie C. Sergeant
- Centre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research, Manchester Academic Health Science CentreUniversity of ManchesterManchesterUK
- Centre for Biostatistics, Manchester Academic Health Science CentreUniversity of ManchesterManchesterUK
| | - Tjeerd Van Staa
- Division of Informatics, Imaging and Data Science, Faculty of Biology, Medicine and HealthUniversity of Manchester, Manchester Academic Health Science CentreManchesterUK
| | - Niels Peek
- Division of Informatics, Imaging and Data Science, Faculty of Biology, Medicine and HealthUniversity of Manchester, Manchester Academic Health Science CentreManchesterUK
| | - Mamas A. Mamas
- Keele Cardiovascular Research GroupKeele UniversityStoke‐on‐TrentUK
| | - Gregory Y. H. Lip
- Liverpool Centre for Cardiovascular Science at University of LiverpoolLiverpool John Moores University and Liverpool Heart & Chest HospitalLiverpoolUK
- Department of Clinical MedicineAalborg UniversityAalborgDenmark
| | - Martin O'Flaherty
- Institute of Population Health, Faculty of Health and Life SciencesUniversity of LiverpoolLiverpoolUK
| | - Iain Buchan
- Institute of Population Health, Faculty of Health and Life SciencesUniversity of LiverpoolLiverpoolUK
| | - Glen P. Martin
- Division of Informatics, Imaging and Data Science, Faculty of Biology, Medicine and HealthUniversity of Manchester, Manchester Academic Health Science CentreManchesterUK
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12
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Pavlou M, Ambler G, Omar RZ, Goodwin AT, Trivedi U, Ludman P, de Belder M. Outlier identification and monitoring of institutional or clinician performance: an overview of statistical methods and application to national audit data. BMC Health Serv Res 2023; 23:23. [PMID: 36627627 PMCID: PMC9832645 DOI: 10.1186/s12913-022-08995-z] [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: 07/15/2022] [Accepted: 12/20/2022] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Institutions or clinicians (units) are often compared according to a performance indicator such as in-hospital mortality. Several approaches have been proposed for the detection of outlying units, whose performance deviates from the overall performance. METHODS We provide an overview of three approaches commonly used to monitor institutional performances for outlier detection. These are the common-mean model, the 'Normal-Poisson' random effects model and the 'Logistic' random effects model. For the latter we also propose a visualisation technique. The common-mean model assumes that the underlying true performance of all units is equal and that any observed variation between units is due to chance. Even after applying case-mix adjustment, this assumption is often violated due to overdispersion and a post-hoc correction may need to be applied. The random effects models relax this assumption and explicitly allow the true performance to differ between units, thus offering a more flexible approach. We discuss the strengths and weaknesses of each approach and illustrate their application using audit data from England and Wales on Adult Cardiac Surgery (ACS) and Percutaneous Coronary Intervention (PCI). RESULTS In general, the overdispersion-corrected common-mean model and the random effects approaches produced similar p-values for the detection of outliers. For the ACS dataset (41 hospitals) three outliers were identified in total but only one was identified by all methods above. For the PCI dataset (88 hospitals), seven outliers were identified in total but only two were identified by all methods. The common-mean model uncorrected for overdispersion produced several more outliers. The reason for observing similar p-values for all three approaches could be attributed to the fact that the between-hospital variance was relatively small in both datasets, resulting only in a mild violation of the common-mean assumption; in this situation, the overdispersion correction worked well. CONCLUSION If the common-mean assumption is likely to hold, all three methods are appropriate to use for outlier detection and their results should be similar. Random effect methods may be the preferred approach when the common-mean assumption is likely to be violated.
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Affiliation(s)
| | | | | | - Andrew T. Goodwin
- grid.440194.c0000 0004 4647 6776Department of Cardiothoracic Surgery, South Tees Hospitals NHS Foundation Trust, Middlesbrough, UK ,grid.139534.90000 0001 0372 5777National Institute for Cardiovascular Outcomes Research (NICOR), Barts Health NHS Trust, London, UK
| | - Uday Trivedi
- Department of Cardiac Surgery, University Hospital Sussex NHS Foundation Trust, Brighton, UK
| | - Peter Ludman
- grid.139534.90000 0001 0372 5777National Institute for Cardiovascular Outcomes Research (NICOR), Barts Health NHS Trust, London, UK ,grid.6572.60000 0004 1936 7486Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, UK
| | - Mark de Belder
- grid.139534.90000 0001 0372 5777National Institute for Cardiovascular Outcomes Research (NICOR), Barts Health NHS Trust, London, UK
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13
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In-Hospital Mortality of Index Percutaneous Coronary Intervention in Patients With and Without Prior Percutaneous Revascularization: A Single-Institution Analysis. CARDIOVASCULAR REVASCULARIZATION MEDICINE 2023; 46:64-67. [PMID: 35961854 DOI: 10.1016/j.carrev.2022.07.022] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 07/21/2022] [Accepted: 07/25/2022] [Indexed: 01/13/2023]
Abstract
Percutaneous coronary intervention (PCI) is increasingly performed for symptom relief and survival benefit, particularly in patients presenting with acute coronary syndromes. It remains controversial whether prior PCI, and specifically when index PCI is performed on previously treated lesion(s), affects peri-procedural and in-hospital mortality. We queried an institutional PCI registry for all unique patients undergoing PCI during a 4-year period and classified them as having had or not prior PCI. If prior PCI had occurred, we further defined index PCI as a target lesion (TLR) PCI or non-TLR PCI, according to lesion(s) treated during the prior PCI. Multivariable analysis was performed to identify predictors of in-hospital mortality. Prior PCI was an independent predictor of in-hospital survival or lower mortality (HR 0.41 [0.22-0.76], P = 0.004), together with lower age (per 5 years, HR 0.73 [0.66-0.82], P < 0.001) and elective PCI (HR 0.63 [0.58-0.70], P < 0.0001). Among prior PCI patients, TLR PCI was associated with higher mortality (HR 3.03 [1.05-8.33]. P = 0.045), while elective PCI status was associated with lower mortality (HR 0.10 [0.01-0.80], P = 0.03). This excess mortality was only present in non-elective PCI cases (PINT = 0.02). We conclude that PCI mortality risk is decreased in patients with prior PCI, particularly when index PCI is performed electively on a lesion not previously treated.
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14
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Bhattacharya A, Sadasivuni S, Chao CJ, Agasthi P, Ayoub C, Holmes DR, Arsanjani R, Sanyal A, Banerjee I. Multi-modal fusion model for predicting adverse cardiovascular outcome post percutaneous coronary intervention. Physiol Meas 2022; 43. [PMID: 36317320 DOI: 10.1088/1361-6579/ac9e8a] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Accepted: 10/28/2022] [Indexed: 12/24/2022]
Abstract
Background.Clinical medicine relies heavily on the synthesis of information and data from multiple sources. However, often simple feature concatenation is used as a strategy for developing a multimodal machine learning model in the cardiovascular domain, and thus the models are often limited by pre-selected features and moderate accuracy.Method.We proposed a two-branched joint fusion model for fusing the 12-lead electrocardiogram (ECG) signal data with clinical variables from the electronic medical record (EMR) in an end-to-end deep learning architecture. The model follows the joint fusion scheme and learns complementary information from ECG and EMR. Retrospective data from the Mayo Clinic Health Systems across four sites for patients that underwent percutaneous coronary intervention (PCI) were obtained. Model performance was assessed by area under the receiver-operating characteristics (AUROC) and Delong's test.Results.The final cohort included 17,356 unique patients with a mean age of 67.2 ± 12.6 year (mean ± std) and 9,163 (52.7%) were male. The joint fusion model outperformed the ECG time-domain model with statistical margin. The model with clinical data obtained the highest AUROC for all-cause mortality (0.91 at 6 months) but the joint fusion model outperformed for cardiovascular outcomes - heart failure hospitalization and ischemic stroke with a significant margin (Delong's p < 0.05).Conclusion.To the best of our knowledge, this is the first study that developed a deep learning model with joint fusion architecture for the prediction of post-PCI prognosis and outperformed machine learning models developed using traditional single-source features (clinical variables or ECG features). Adding ECG data with clinical variables did not improve prediction of all-cause mortality as may be expected, but the improved performance of related cardiac outcomes shows that the fusion of ECG generates additional value.
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Affiliation(s)
| | - Sudarsan Sadasivuni
- Electrical Engineering, University at Buffalo, Buffalo, United States of America
| | - Chieh-Ju Chao
- Mayo Clinic Rochester, Rochester, Minnesota, United States of America
| | - Pradyumna Agasthi
- Mayo Clinic Rochester, Rochester, Minnesota, United States of America
| | - Chadi Ayoub
- Mayo Clinic Arizona, Scottsdale, Arizona, United States of America
| | - David R Holmes
- Mayo Clinic Rochester, Rochester, Minnesota, United States of America
| | - Reza Arsanjani
- Mayo Clinic Arizona, Scottsdale, Arizona, United States of America
| | - Arindam Sanyal
- Arizona State University, Phoenix, Arizona, United States of America
| | - Imon Banerjee
- Mayo Clinic Arizona, Scottsdale, Arizona, United States of America.,Arizona State University, Phoenix, Arizona, United States of America
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15
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Doolub G, Kobo O, Mohamed MO, Ullah W, Chadi Alraies M, Velagapudi P, Matula JS, Roguin A, Bagur R, Mamas MA. Outcomes of Percutaneous Coronary Intervention in Patients With Acquired Immunosuppression. Am J Cardiol 2022; 171:40-48. [PMID: 35303973 DOI: 10.1016/j.amjcard.2022.01.045] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2021] [Revised: 01/19/2022] [Accepted: 01/26/2022] [Indexed: 12/12/2022]
Abstract
There are limited data on the clinical outcomes of percutaneous coronary intervention (PCI) in patients with acquired immunosuppression who are frequently underrepresented in clinical trials. All PCI procedures between October 2015 and December 2018 in the Nationwide Inpatient Sample were retrospectively analyzed, stratified by immunosuppression status. Multivariable logistic regression models were performed to examine (1) the association between immunosuppression status and in-hospital outcomes, expressed as adjusted odds ratio (aOR) with 95% confidence intervals (CIs) and (2) predictors of mortality among patients with severe acquired immunosuppression. In this contemporary analysis of nearly 1.5 million PCI procedures, approximately 4% of patients who underwent PCI had acquired immunosuppression. Of these, chronic steroid use accounted for approximately half of the cohort who underwent PCI who had acquired immunosuppression, with the remainder divided between hematologic cancer, solid organ active malignancy, and metastatic cancer, with the latter group having the highest rates of composite of in-hospital mortality or stroke (9.3%) (mortality 7.5% and acute ischemic stroke 2.4%). In conclusion, immunosuppression was independently associated with increased adjusted odds of adverse clinical outcomes, specifically mortality or stroke (aOR 1.11, 95% CI 1.06 to 1.15, p <0.001) and in-hospital mortality (aOR 1.21, 95% CI 1.13 to 1.29, p <0.001), with outcomes dependent on the cause of immunosuppression.
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16
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Lucà F, Parrini I, Abrignani MG, Rao CM, Piccioni L, Di Fusco SA, Ceravolo R, Bisceglia I, Riccio C, Gelsomino S, Colivicchi F, Gulizia MM. Management of Acute Coronary Syndrome in Cancer Patients: It's High Time We Dealt with It. J Clin Med 2022; 11:jcm11071792. [PMID: 35407399 PMCID: PMC8999526 DOI: 10.3390/jcm11071792] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Revised: 03/12/2022] [Accepted: 03/18/2022] [Indexed: 02/05/2023] Open
Abstract
Cancer patients have an increased risk of cardiovascular disease and, notably, a significant prevalence of acute coronary syndrome (ACS). It has been shown that an elevated presence of cardiovascular risk factors in this setting leads to an interaction between these two conditions, influencing their therapeutic strategies and contributing to higher mortality. Nonetheless, cancer patients have generally not been evaluated in ACS trials, so that the treatment in these cases is still not fully known. We reviewed the current literature and discussed the best management for these very high-risk patients. The treatment strategy must be tailored based on the cancer type and stage, balancing thrombotic and bleeding risks. When the prognosis is longer than six months, especially if a clinical instability coexists, patients with ACS and cancer should be referred for percutaneous coronary intervention (PCI) as soon as possible. Moreover, an invasive strategy should be preferred in STEMI patients as well as in NSTEMI patients who are considered as high risk. On the contrary, in clinically stable NSTEMI patients, a conservative non-invasive strategy could be adopted, especially in cases of a poor life expectancy and/or of high risk of bleeding. Drug-Eluting-Stents (DES) should be the first choice if an invasive strategy is adopted. Conservative therapy could instead be considered in cancer patients with more stable CAD at an increased risk of major bleeding complications. However, the duration of dual antiplatelet therapy (DAPT) with aspirin and clopidogrel is recommended, but it should be as short as possible, whereas triple antithrombotic therapy is non-advised because it significantly increases the risk of bleeding. ACS management among cancer patients should be based on an accurate evaluation of the risk of thrombosis and bleeding. Future studies focused on choosing optimal strategies in tumor patients with ACS should be performed to treat this subset of patients better.
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Affiliation(s)
- Fabiana Lucà
- Cardiology Department, Grande Ospedale Metropolitano, AO Bianchi Melacrino Morelli, 89129 Reggio Calabria, Italy;
- Correspondence:
| | - Iris Parrini
- Cardiology Department, Ospedale Mauriziano Umberto I, 10128 Torino, Italy;
| | | | - Carmelo Massimiliano Rao
- Cardiology Department, Grande Ospedale Metropolitano, AO Bianchi Melacrino Morelli, 89129 Reggio Calabria, Italy;
| | - Laura Piccioni
- Cardiology Department, Ospedale “G. Mazzini”, 64100 Teramo, Italy;
| | - Stefania Angela Di Fusco
- Clinical and Rehabilitation Cardiology Department, Presidio Ospedaliero San Filippo Neri, ASL Roma 1, 10128 Roma, Italy; (S.A.D.F.); (F.C.)
| | - Roberto Ceravolo
- Cardiology Department, Ospedale Lamezia Terme, 88046 Catanzaro, Italy;
| | - Irma Bisceglia
- Integrated Cardiology Services, Cardio-Thoracic-Vascular Department, Azienda Ospedaliera San Camillo Forlanini, 00152 Roma, Italy;
| | - Carmine Riccio
- Cardiovascular Department, A.O.R.N. Sant’Anna e San Sebastiano, 81100 Caserta, Italy;
| | - Sandro Gelsomino
- Cardiothoracic Department, Maastricht University, 6221 Maastricht, The Netherlands;
| | - Furio Colivicchi
- Clinical and Rehabilitation Cardiology Department, Presidio Ospedaliero San Filippo Neri, ASL Roma 1, 10128 Roma, Italy; (S.A.D.F.); (F.C.)
| | - Michele Massimo Gulizia
- Cardiology Department, Azienda di Rilievo Nazionale e Alta Specializzazione “Garibaldi”, 95126 Catania, Italy;
- Fondazione per il Tuo Cuore-Heart Care Foundation, 50121 Firenze, Italy
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17
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Ratneswaren A, de Belder MA, Timmis A. Cardiac audit, data and registries: evolution of a national programme. Heart 2022; 108:807-812. [PMID: 35131894 DOI: 10.1136/heartjnl-2021-320151] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 12/21/2021] [Indexed: 12/25/2022] Open
Abstract
The UK is one of the few countries in the world with national registries that record key statistics across a broad range of cardiovascular disorders. The British Cardiovascular Society and its affiliated groups have played a central role in the development of these registries and continue to provide clinical oversight to the present day. Seven of the UK's national registries are now integrated under the management of the National Institute for Cardiovascular Outcomes Research (NICOR) that currently holds records on nearly 6.5 million episodes of care since 1990. This represents a substantial data resource for national audit that has driven up standards of cardiovascular care in the UK with a palpable impact on patient outcomes. The registries have also spawned an impressive programme of research providing novel insights into the epidemiology of cardiovascular disease. Linkage with other datasets and international collaborations create the environment for new outputs, new opportunities for 'big data' research and new ways of performing clinical trials. As the centenary of the British Cardiac Society (now British Cardiovascular Society) approaches, its role in the development of the UK's cardiovascular audits can be counted as one of its outstanding achievements.
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Affiliation(s)
- Anenta Ratneswaren
- National Heart and Lung Institute, Imperial College London Faculty of Medicine, London, UK
| | - Mark A de Belder
- National Institute for Cardiovascular Outcomes Research (NICOR), Barts Health NHS Trust, London, UK
| | - Adam Timmis
- William Harvey Research Institute, Queen Mary University London, London, UK
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18
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Mohamed MO, Curzen N, de Belder M, Goodwin AT, Spratt JC, Balacumaraswami L, Deanfield J, Martin GP, Rashid M, Shoaib A, Gale CP, Kinnaird T, Mamas MA. Revascularisation strategies in patients with significant left main coronary disease during the COVID-19 pandemic. Catheter Cardiovasc Interv 2021; 98:1252-1261. [PMID: 33764676 PMCID: PMC8292673 DOI: 10.1002/ccd.29663] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Accepted: 03/14/2021] [Indexed: 12/25/2022]
Abstract
Background There are limited data on the impact of the COVID‐19 pandemic on left main (LM) coronary revascularisation activity, choice of revascularisation strategy, and post‐procedural outcomes. Methods All patients with LM disease (≥50% stenosis) undergoing coronary revascularisation in England between January 1, 2017 and August 19, 2020 were included (n = 22,235), stratified by time‐period (pre‐COVID: 01/01/2017–29/2/2020; COVID: 1/3/2020–19/8/2020) and revascularisation strategy (percutaneous coronary intervention (PCI) vs. coronary artery bypass grafting (CABG). Logistic regression models were performed to examine odds ratio (OR) of 1) receipt of CABG (vs. PCI) and 2) in‐hospital and 30‐day postprocedural mortality, in the COVID‐19 period (vs. pre‐COVID). Results There was a decline of 1,354 LM revascularisation procedures between March 1, 2020 and July 31, 2020 compared with previous years' (2017–2019) averages (−48.8%). An increased utilization of PCI over CABG was observed in the COVID period (receipt of CABG vs. PCI: OR 0.46 [0.39, 0.53] compared with 2017), consistent across all age groups. No difference in adjusted in‐hospital or 30‐day mortality was observed between pre‐COVID and COVID periods for both PCI (odds ratio (OR): 0.72 [0.51. 1.02] and 0.83 [0.62, 1.11], respectively) and CABG (OR 0.98 [0.45, 2.14] and 1.51 [0.77, 2.98], respectively) groups. Conclusion LM revascularisation activity has significantly declined during the COVID period, with a shift towards PCI as the preferred strategy. Postprocedural mortality within each revascularisation group was similar in the pre‐COVID and COVID periods, reflecting maintenance in quality of outcomes during the pandemic. Future measures are required to safely restore LM revascularisation activity to pre‐COVID levels.
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Affiliation(s)
- Mohamed O. Mohamed
- Keele Cardiovascular Research Group, Centre for Prognosis ResearchKeele UniversityKeeleUK
- Department of CardiologyRoyal Stoke University HospitalStoke‐on‐TrentUK
| | - Nick Curzen
- Wessex Cardiothoracic UnitSouthampton University Hospital & Faculty of Medicine University of SouthamptonSouthamptonUK
| | - Mark de Belder
- National Institute for Cardiovascular Outcomes ResearchBarts Health NHS TrustLondonUK
| | - Andrew T. Goodwin
- National Institute for Cardiovascular Outcomes ResearchBarts Health NHS TrustLondonUK
- Department of CardiologyJames Cook University HospitalMiddlesbroughUK
| | - James C Spratt
- Department of CardiologySt George's University Hospital NHS TrustLondonUK
| | | | - John Deanfield
- National Institute for Cardiovascular Outcomes ResearchBarts Health NHS TrustLondonUK
| | - Glen P. Martin
- Division of Informatics, Imaging and Data Science, Faculty of Biology, Medicine and HealthUniversity of ManchesterManchesterUK
| | - Muhammad Rashid
- Keele Cardiovascular Research Group, Centre for Prognosis ResearchKeele UniversityKeeleUK
- Department of CardiologyRoyal Stoke University HospitalStoke‐on‐TrentUK
| | - Ahmad Shoaib
- Keele Cardiovascular Research Group, Centre for Prognosis ResearchKeele UniversityKeeleUK
- Department of CardiologyRoyal Stoke University HospitalStoke‐on‐TrentUK
| | - Chris P Gale
- Leeds Institute for Data analyticsUniversity of LeedsLeedsUK
- Leeds Institute of Cardiovascular and Metabolic MedicineUniversity of LeedsLeedsUK
- Department of CardiologyLeeds Teaching Hospitals NHS TrustLeedsUK
| | - Tim Kinnaird
- Department of CardiologyUniversity hospital of WalesCardiffUK
| | - Mamas A. Mamas
- Keele Cardiovascular Research Group, Centre for Prognosis ResearchKeele UniversityKeeleUK
- Department of CardiologyRoyal Stoke University HospitalStoke‐on‐TrentUK
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19
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Differential impact of type 1 and type 2 diabetes mellitus on outcomes among 1.4 million US patients undergoing percutaneous coronary intervention. CARDIOVASCULAR REVASCULARIZATION MEDICINE 2021; 38:83-88. [PMID: 34446373 DOI: 10.1016/j.carrev.2021.08.018] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 08/16/2021] [Accepted: 08/16/2021] [Indexed: 02/08/2023]
Abstract
BACKGROUND The aim was to determine the impact of diabetes mellitus (DM) on outcomes after percutaneous coronary intervention (PCI). There is limited data on the impact of DM and its subtypes among patients who underwent PCI during hospitalization. METHODS All PCI hospitalizations from the National Inpatient Sample (October 2015-December 2018) were stratified by the presence and subtype of DM. Multivariable logistic regression was performed to determine the adjusted odds ratios (aOR) of in-hospital adverse outcomes in type 1 DM (T1DM) and type 2 DM (T2DM) compared to no-DM. RESULTS Out of 1,363,800 individuals undergoing PCI, 12,640 (0.9%) had T1DM and 539,690 (39.6%) had T2DM. T1DM patients had increased aOR of major adverse cardiovascular and cerebrovascular events (MACCE) (1.26, 95%CI 1.17-1.35), mortality (1.56, 95%CI 1.41-1.72), major bleeding (1.63, 95%CI 1.45-1.84), and stroke (1.75, 95%CI 1.51-2.02), while T2DM patients had only increased aOR of MACCE (1.02, 95%CI 1.01-1.04), mortality (1.10, 95%CI 1.08-1.13) and stroke (1.22, 95%CI 1.18-1.27), compared to no-DM patients. However, both T1DM and T2DM had lower aOR of cardiac complications (0.87, 95%CI 0.77-0.97 and 0.87, 95%CI 0.85-0.89, respectively), in comparison to no-DM patients. When accounting for the indication, both DM subgroups had higher aOR of MACCE, mortality, and stroke compared to no-DM patients in the acute coronary syndrome setting (p < 0.001, for all), while only increased aOR of stroke (1.59, 95%CI 1.17-2.15 for T1DM and 1.12, 95%CI 1.05-1.20 for T2DM) persisted in the elective setting. CONCLUSIONS Patients with DM who have undergone PCI during hospitalization are more likely to experience adverse in-hospital outcomes, and T1DM patients are a particularly high-risk cohort.
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The ACIRA Registry: A Regional Tool to Improve the Healthcare Pathway for Patients Undergoing Percutaneous Coronary Interventions and Coronary Angiographies in the French Aquitaine Region: Study Design and First Results. Crit Pathw Cardiol 2021; 19:1-8. [PMID: 31567554 DOI: 10.1097/hpc.0000000000000199] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
BACKGROUND In France, there is a lack of information about practices and pathways of coronary angiographies and percutaneous coronary interventions (PCI). We present the design and the first results of the ACIRA registry, the goal of which is to answer questions about quality, security, appropriateness, efficiency of, and access to interventional cardiology (IC) healthcare pathway in the French Aquitaine region. METHODS The ACIRA registry is an on-going, multicenter, prospective, exhaustive, scalable, and nominative cohort study of patients who undergo coronary angiographies or percutaneous coronary intervention in any of the catheterization laboratories. The data related to hospitalizations and procedures are directly extracted from hospital information systems. In-hospital mortality, readmissions, and cardiovascular morbidity are collected from the French hospital medical information system database. An identity management system has been implemented to create the patient health care pathway. RESULTS From January 1, 2012, to June 30, 2018, 147,136 procedures performed on 106,005 patients have been included in the ACIRA registry. CONCLUSIONS ACIRA has shown its ability to study the patient IC healthcare pathway, up to 1 year after the procedure. Nominative data enable the linkage between clinical and medico-administrative databases and possible supplementary data collection. The use of existing databases allowed us to limit patients lost to follow-up, prevent the double entry of data, improve data quality, and reduce the operating costs. The prospect of linkage with the French National Health Data System may offer promising opportunities for future medical research projects and for developing collaboration and benchmarking with other IC registries abroad.
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Pavlou M, Qu C, Omar RZ, Seaman SR, Steyerberg EW, White IR, Ambler G. Estimation of required sample size for external validation of risk models for binary outcomes. Stat Methods Med Res 2021; 30:2187-2206. [PMID: 33881369 PMCID: PMC8529102 DOI: 10.1177/09622802211007522] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Risk-prediction models for health outcomes are used in practice as part of
clinical decision-making, and it is essential that their performance be
externally validated. An important aspect in the design of a validation study is
choosing an adequate sample size. In this paper, we investigate the sample size
requirements for validation studies with binary outcomes to estimate measures of
predictive performance (C-statistic for discrimination and calibration slope and
calibration in the large). We aim for sufficient precision in the estimated
measures. In addition, we investigate the sample size to achieve sufficient
power to detect a difference from a target value. Under normality assumptions on
the distribution of the linear predictor, we obtain simple estimators for sample
size calculations based on the measures above. Simulation studies show that the
estimators perform well for common values of the C-statistic and outcome
prevalence when the linear predictor is marginally Normal. Their performance
deteriorates only slightly when the normality assumptions are violated. We also
propose estimators which do not require normality assumptions but require
specification of the marginal distribution of the linear predictor and require
the use of numerical integration. These estimators were also seen to perform
very well under marginal normality. Our sample size equations require a
specified standard error (SE) and the anticipated C-statistic and outcome
prevalence. The sample size requirement varies according to the prognostic
strength of the model, outcome prevalence, choice of the performance measure and
study objective. For example, to achieve an SE < 0.025 for the C-statistic,
60–170 events are required if the true C-statistic and outcome prevalence are
between 0.64–0.85 and 0.05–0.3, respectively. For the calibration slope and
calibration in the large, achieving SE < 0.15 would require 40–280 and 50–100 events, respectively. Our
estimators may also be used for survival outcomes when the proportion of
censored observations is high.
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Affiliation(s)
- Menelaos Pavlou
- Department of Statistical Science, University College London, UK
| | - Chen Qu
- Department of Statistical Science, University College London, UK
| | - Rumana Z Omar
- Department of Statistical Science, University College London, UK
| | - Shaun R Seaman
- MRC Biostatistics Unit, Institute of Public Health, University of Cambridge, Cambridge, UK
| | - Ewout W Steyerberg
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, Netherlands
| | - Ian R White
- MRC Clinical Trials Unit, University College London, London, UK
| | - Gareth Ambler
- Department of Statistical Science, University College London, UK
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Meah MMN, Joseph T, Ding WY, Shaw M, Hasleton J, Palmer ND, Velavan P, Aggarwal SK. Primary percutaneous coronary intervention in nonagenarians: is it worthwhile? BMC Cardiovasc Disord 2021; 21:30. [PMID: 33435875 PMCID: PMC7805235 DOI: 10.1186/s12872-020-01833-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Accepted: 12/21/2020] [Indexed: 11/30/2022] Open
Abstract
Background Previous studies have demonstrated the feasibility of primary percutaneous coronary intervention (PPCI) in carefully selected nonagenarians. Although current guidelines recommend immediate revascularization in patients with ST elevation myocardial infarction (STEMI) it remains unclear whether PPCI reduces mortality in nonagenarians. The objective of this study is to compare mortality in nonagenarians presenting via the PPCI pathway who undergo coronary intervention, versus those who are managed medically. Methods and results A total of 111 consecutive nonagenarians who presented to our tertiary center via the PPCI pathway between July 2013 and December 2018 with myocardial infarction were included. Clinical and angiographic details were collected alongside data on all-cause mortality. The final diagnosis was STEMI in 98 (88.3%) and NSTEMI in 13 (11.7%). PPCI was performed in 42 (37.8%), while 69 (62.2%) were medically managed. A significant number of the medically managed cohort had atrial fibrillation (23.2% vs 2.4% p = 0.003) and presented with a completed infarct (43.5% vs 4.8% p = 0.001). Other baseline and clinical variables were well matched in both groups. There was a trend towards increased 30-day mortality in the medically managed group (40.6% vs 23.8% p = 0.07). Kaplan Meier survival analysis demonstrated a significant difference in survival by 3 years (48.1% vs 21.7% p = 0.01). This was the case even when those with completed infarcts were excluded (44.3% vs 14.6%, p = 0.01).
Conclusion In this series of selected nonagenarians presenting with acute myocardial infarction, those undergoing PPCI appeared to have a lower mortality compared to those managed medically.
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Affiliation(s)
- Mohammed M N Meah
- Liverpool Heart and Chest Hospital, Thomas Drive, Liverpool, L14 3PE, UK
| | - Tobin Joseph
- Liverpool Heart and Chest Hospital, Thomas Drive, Liverpool, L14 3PE, UK.
| | - Wern Yew Ding
- Liverpool Heart and Chest Hospital, Thomas Drive, Liverpool, L14 3PE, UK
| | - Matthew Shaw
- Liverpool Heart and Chest Hospital, Thomas Drive, Liverpool, L14 3PE, UK
| | - Jonathan Hasleton
- Liverpool Heart and Chest Hospital, Thomas Drive, Liverpool, L14 3PE, UK
| | - Nick D Palmer
- Liverpool Heart and Chest Hospital, Thomas Drive, Liverpool, L14 3PE, UK
| | - Periaswamy Velavan
- Liverpool Heart and Chest Hospital, Thomas Drive, Liverpool, L14 3PE, UK
| | - Suneil K Aggarwal
- Liverpool Heart and Chest Hospital, Thomas Drive, Liverpool, L14 3PE, UK
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Taxiarchi P, Kontopantelis E, Kinnaird T, Curzen N, Banning A, Ludman P, Shoaib A, Rashid M, Martin GP, Mamas MA. Adoption of same day discharge following elective left main stem percutaneous coronary intervention. Int J Cardiol 2020; 321:38-47. [PMID: 32739446 PMCID: PMC7392050 DOI: 10.1016/j.ijcard.2020.07.038] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Revised: 06/04/2020] [Accepted: 07/24/2020] [Indexed: 11/28/2022]
Abstract
BACKGROUND This study sought to investigate the safety and feasibility of same day discharge (SDD) practice and compare clinical outcomes to patients admitted for overnight stay (ON) undergoing elective left main stem (LMS) percutaneous coronary intervention (PCI). ON observation is still widely practiced in highly complex PCI as the standard of care, with no previous data comparing clinical outcomes in patients undergoing LMS PCI. METHODS We analysed 6452 patients undergoing elective LMS PCI between 2007 and 2014 in England and Wales. Multiple logistic regressions and the BCIS risk model were used to study association between SDD and 30 day mortality. RESULTS SDD rates almost doubled from 19.9% in 2007 to 39.8% in 2014 for all LMS procedures and increased from 20.7% to 41.4% for unprotected LMS cases during the same study period. There was a significant increase in procedural complexity with higher use of rotational atherectomy, longer stents and multivessel PCI. SDD was not associated with increased 30 day mortality (OR 0.70 95%CI 0.30-1.65) in the overall LMS PCI cohort and the results were similar in unprotected LMS (OR 0.48 95%CI 0.17-1.41) and those requiring ON stay (OR 0.58 95%CI 0.25-1.34). CONCLUSIONS We did not find evidence that SDD is not safe or feasible in highly complex LMS PCI procedures despite increasing procedural complexity with no significant increase in 30 day mortality rates.
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Affiliation(s)
- Paraskevi Taxiarchi
- Centre for Biostatistics, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Evangelos Kontopantelis
- Centre for Biostatistics, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | | | - Nick Curzen
- Coronary Research Group, University Hospital Southampton, Faculty of Medicine, University of Southampton, UK
| | | | - Peter Ludman
- Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, UK
| | - Ahmad Shoaib
- Keele Cardiovascular Research Group, Institute of Primary Care and Health Sciences, University of Keele and Academic Department of Cardiology, Royal Stoke Hospital, Stoke-on-Trent, UK
| | - Muhammad Rashid
- Keele Cardiovascular Research Group, Institute of Primary Care and Health Sciences, University of Keele and Academic Department of Cardiology, Royal Stoke Hospital, Stoke-on-Trent, UK
| | - Glen P Martin
- Centre for Biostatistics, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Mamas A Mamas
- Centre for Biostatistics, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK; Keele Cardiovascular Research Group, Institute of Primary Care and Health Sciences, University of Keele and Academic Department of Cardiology, Royal Stoke Hospital, Stoke-on-Trent, UK.
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Cockburn J, Kemp T, Ludman P, Kinnaird T, Johnson T, Curzen N, Robinson D, Mamas M, de Belder A, Hildick-Smith D. Percutaneous coronary intervention in octogenarians: A risk scoring system to predict 30-day outcomes in the elderly. Catheter Cardiovasc Interv 2020; 98:1300-1307. [PMID: 33283484 DOI: 10.1002/ccd.29406] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 10/26/2020] [Accepted: 11/15/2020] [Indexed: 11/08/2022]
Abstract
OBJECTIVE Octogenarians are a high-risk group presenting for percutaneous coronary intervention (PCI). We aimed to create a 30-day mortality risk model for octogenarians presenting with both acute coronary syndrome (ACS) and chronic stable angina (CSA), using comprehensive mandatory UK data submissions to the UK National database. BACKGROUND Octogenarians are a high-risk group presenting for percutaneous coronary intervention, and decisions on whether or not to undertake intervention in this cohort can be challenging. The increasing number of octogenarians in the general population means they represent an important high-risk subgroup of patients. METHODS The data group consisted of 425,897 PCI procedures undertaken in the UK between 2008 and 2012 during which time there was comprehensive data linkage to mortality via the Office of National Statistics. Of these procedures, 44,221 (10.4%) were in patients aged ≥80. These comprised the model group. Logistic regression was used to create a predictive score which ultimately consisted of the following weightings: age 80-89 (n = 1); age > 90 (n = 2); unstable angina/non-ST-elevation myocardial infraction (NSTEMI) (n = 1); STEMI (n = 2); creatinine >200 mmol/L (n = 1); preprocedural ventilation (n = 1); left ventricular ejection fraction <30% (n = 1); cardiogenic shock (n = 2). Multiple imputation was used to account for missing data. RESULTS The patient cohort was divided into a derivation (n = 22,072) and a validation dataset (n = 22,071). Receiver operating characteristic analyses were used to derive the area-under-the-curve to assess properties of the score. The scoring system generated an AUC 0.83, (95% CI 0.80-0.85) suggesting high sensitivity and specificity. Scores of 1-4 were associated with good survival but scores ≥5 were associated with an estimated likelihood of death within 30 days of ≥40%. CONCLUSIONS This octogenarian risk score maybe a useful tool to determine the chance of a successful outcome in elderly patients presenting for PCI.
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Affiliation(s)
- James Cockburn
- Sussex Cardiac Centre, Brighton and Sussex University Hospitals NHS Trust, Brighton, UK
| | - Tiffany Kemp
- Sussex Cardiac Centre, Brighton and Sussex University Hospitals NHS Trust, Brighton, UK
| | - Peter Ludman
- Queen Elizabeth Hospital NHS Trust, Birmingham, UK
| | | | | | - Nick Curzen
- University Hospital Southampton, Southampton, UK
| | - Derek Robinson
- Department of Mathematics, Sussex University, Brighton, UK
| | - Mamas Mamas
- Keele Cardiovascular Research Group, Centre for Prognosis Research, Institute for Primary Care and Health Sciences, Manchester, UK
| | - Adam de Belder
- Sussex Cardiac Centre, Brighton and Sussex University Hospitals NHS Trust, Brighton, UK
| | - David Hildick-Smith
- Sussex Cardiac Centre, Brighton and Sussex University Hospitals NHS Trust, Brighton, UK
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Abstract
The elderly population is increasing because of increasing life expectancy, and the prevalence of frailty increases with age. Frailty commonly coexists with cardiovascular diseases (CVDs), such as coronary artery disease (CAD), heart failure (HF), aortic stenosis (AS), and atrial fibrillation (AF). Frail patients who undergo revascularization for CAD have higher complication rates; those with HF have a high prevalence of poor outcomes, and those with AF are vulnerable to increased stroke incidence. Moreover, frailty and asymptomatic severe AS were independent factors for mortality. The presence of frailty can lead to poor clinical outcomes, and frailty has been identified as a risk factor for mortality. Thus, the identification of frail patients who are at higher risks of disability and adverse clinical outcomes is important. In this review, the relationship between frailty and CVD is appraised and optimal treatments for frail patients are discussed.
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Affiliation(s)
- Yoshihiro Uchikado
- Department of Cardiovascular Medicine and Hypertension, Graduate School of Medical and Dental Sciences, Kagoshima University
| | - Yoshiyuki Ikeda
- Department of Cardiovascular Medicine and Hypertension, Graduate School of Medical and Dental Sciences, Kagoshima University
| | - Mitsuru Ohishi
- Department of Cardiovascular Medicine and Hypertension, Graduate School of Medical and Dental Sciences, Kagoshima University
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26
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Taxiarchi P, Martin GP, Curzen N, Kinnaird T, Ludman P, Johnson T, Kwok CS, Rashid M, Kontopantelis E, Mamas MA. Rotational atherectomy and same day discharge: Safety and growth from a national perspective. Catheter Cardiovasc Interv 2020; 98:678-688. [PMID: 32845064 DOI: 10.1002/ccd.29228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Accepted: 08/02/2020] [Indexed: 11/12/2022]
Abstract
OBJECTIVES We explore whether same day discharge (SDD) is a feasible and safe practice following rotational atherectomy (ROTA) treatment during elective percutaneous coronary intervention (PCI), and examine which baseline characteristics are independently associated with SDD. BACKGROUND SDD following elective ROTA PCI is not recommended as per the recent SCAI consensus. However, reports show it is practiced and no previous study has evaluated its safety and feasibility. METHODS Our dataset included 4,591 patients undergoing elective ROTA PCI in England & Wales within an 8-years period. Independent associations with SDD were quantified via a multiple logistic regression model and the BCIS 30-day mortality risk model was used to evaluate the safety of SDD. RESULTS The majority of elective ROTA PCI cases remain at the hospital for overnight (ON) observation, although SDD rates increased substantially from 6.7% in 2007 to 35.5% in 2014. The use of glycoprotein IIb/IIIa antagonists, Q wave AMI, left main PCI and valvular heart disease were independently associated with ON, while patients operated underwent transradial PCI were more likely to be SDD (OR = 1.77, 95% CI [1.45-2.15]). Over the study period, observed mortality rates were not significantly higher than those expected from the BCIS risk model. CONCLUSIONS Our findings did not show superiority of the ON strategy over SDD for higher risk cases undergoing elective ROTA PCI, in terms of 30-day mortality. This is the first study to examine the safety of SDD after elective ROTA PCI and more should follow.
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Affiliation(s)
- Paraskevi Taxiarchi
- Division of Informatics, Imaging and Data Science, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Center, Manchester, UK
| | - Glen P Martin
- Division of Informatics, Imaging and Data Science, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Center, Manchester, UK
| | - Nick Curzen
- Coronary Research Group, University Hospital Southampton and Faculty of Medicine, University of Southampton, Southampton, UK
| | - Tim Kinnaird
- Department of Cardiology, University Hospital of Wales, Cardiff, UK
| | - Peter Ludman
- Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, UK
| | | | - Chun Shing Kwok
- Keele Cardiovascular Research Group, Keele University, Keele, UK
| | - Muhammad Rashid
- Keele Cardiovascular Research Group, Keele University, Keele, UK
| | - Evangelos Kontopantelis
- Division of Population Health, Health Services Research & Primary Care, University of Manchester, Manchester, UK
| | - Mamas A Mamas
- Keele Cardiovascular Research Group, Keele University, Keele, UK.,Division of Population Health, Health Services Research & Primary Care, University of Manchester, Manchester, UK.,Thomas Jefferson University, Philadelphia, Pennsylvania
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Rashid M, Ludman PF, Mamas MA. British Cardiovascular Intervention Society registry framework: a quality improvement initiative on behalf of the National Institute of Cardiovascular Outcomes Research (NICOR). EUROPEAN HEART JOURNAL. QUALITY OF CARE & CLINICAL OUTCOMES 2020; 5:292-297. [PMID: 31050720 DOI: 10.1093/ehjqcco/qcz023] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Revised: 04/15/2019] [Accepted: 04/23/2019] [Indexed: 11/14/2022]
Abstract
The British Cardiovascular Intervention Society (BCIS) percutaneous coronary intervention (PCI) registry is hosted by the National Institute of Cardiovascular Outcomes Research (NICOR) at Bart's Heart Centre and collects clinical characteristics, indications, procedural details, and outcomes of all patients undergoing PCI in the UK. The data are used for audit and research to monitor and improve PCI practices and patient outcomes. Bespoke live data analysis and structured monthly reports are used to provide real-time feedback to all participating hospitals about the provision of care. Risk-adjusted analyses are used as a quality metric and benchmarking PCI practices. The consecutive patients undergoing PCI in all PCI performing hospitals in the UK from 1994 to present. One hundred and thirteen variables encompassing patient demographics, indication, procedural details, complications, and in-hospital outcomes are recorded. Prospective data are collected electronically and encrypted before transfer to central database servers. Data are validated locally and further range checks, sense checks, and assessments of internal consistency are applied during data uploads. Analyses of uploaded data including an assessment of data completeness are provided to all hospitals for validation, with repeat validation rounds prior to public reporting. Endpoints are in-hospital PCI complications, bleeding and mortality. All-cause mortality is obtained via linkage to the Office of National Statistics. No other linkages are available at present. Available for research by application to NICOR at http://www.nicor.org.uk/ using a data sharing agreement.
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Affiliation(s)
- Muhammad Rashid
- Keele Cardiovascular Research Group, Centre of Prognosis Research, Institute of Primary Care Sciences, Keele University, Stoke-on-Trent, UK.,Department of Cardiology, University Hospital of North Midlands, Stoke-on-Trent, UK
| | - Peter F Ludman
- Institute of Cardiovascular Sciences, Birmingham University, Birmingham, UK
| | - Mamas A Mamas
- Keele Cardiovascular Research Group, Centre of Prognosis Research, Institute of Primary Care Sciences, Keele University, Stoke-on-Trent, UK.,Department of Cardiology, University Hospital of North Midlands, Stoke-on-Trent, UK
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Relation of Frailty to Outcomes in Percutaneous Coronary Intervention. CARDIOVASCULAR REVASCULARIZATION MEDICINE 2020; 21:811-818. [DOI: 10.1016/j.carrev.2019.11.009] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Revised: 11/06/2019] [Accepted: 11/07/2019] [Indexed: 12/18/2022]
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Kwok CS, Kinnaird T, Ludman P, Mohamed M, Borovac JA, Sirker A, Mamas MA. Evaluation of the DAPT Score in Patients Who Undergo Percutaneous Coronary Intervention in England and Wales. CARDIOVASCULAR REVASCULARIZATION MEDICINE 2020; 21:1509-1514. [PMID: 32553851 DOI: 10.1016/j.carrev.2020.05.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Revised: 05/03/2020] [Accepted: 05/04/2020] [Indexed: 11/24/2022]
Abstract
This study aims to evaluate the temporal changes in DAPT score and determine whether there is an association between DAPT score and mortality. We analyzed all patients who underwent PCI in England and Wales 2007-2014. Statistical analyses were performed evaluating the DAPT score according to ≥2 and <2 cutoffs. Trends in DAPT score and logistic regressions were used to determine the association between DAPT score and 30 day, 1 year and 3 year mortality. A total of 243,440 patients were included in the analysis and the proportion of patients with DAPT score ≥ 2 was 35.6% (n = 86,550). The trend in DAPT score ≥ 2 showed an overall decline over time from 38.5% in 2007 to 34.5% in 2014. In more recent years, patients were older and a greater proportion were diabetic and had myocardial infarction on presentation and there was a significant decline in patients receiving paclitaxel stent (23.7% in 2007 to 0.2% in 2014). Patients with DAPT score ≥ 2 were more likely to be male, have previous CABG and have glycoprotein IIB/IIIa inhibitors. At 3 year follow up there was a significant difference in death compared DAPT ≥ 2 vs <2 (5.2% vs 5.5%, p < 0.001). DAPT score ≥ 2 was associated with reduced mortality at 1 year (OR 0.87 95%CI 0.82-0.92, p < 0.001) and 3 years (OR 0.82 95%CI 0.79-0.86, p < 0.001) after adjustments. These findings suggest that the DAPT score classifies 1 in 3 patients as having scores ≥2 and these patients have reduced odds of long-term mortality.
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Affiliation(s)
- Chun Shing Kwok
- Keele Cardiovascular Research Group, Keele University, Stoke-on-Trent, United Kingdom; Department of Cardiology, Royal Stoke University Hospital, Stoke-on-Trent, United Kingdom
| | - Tim Kinnaird
- Department of Cardiology, University Hospital of Wales, Cardiff, United Kingdom
| | - Peter Ludman
- Institute of Cardiovascular Sciences, University of Birmingham, United Kingdom
| | - Mohamed Mohamed
- Keele Cardiovascular Research Group, Keele University, Stoke-on-Trent, United Kingdom; Department of Cardiology, Royal Stoke University Hospital, Stoke-on-Trent, United Kingdom
| | - Josip Andelo Borovac
- Keele Cardiovascular Research Group, Centre for Prognosis Research, Institute of Primary Care and Health Sciences, Keele University, United Kingdom; Department of Pathophysiology, University of Split School of Medicine and University Hospital of Split, Split, Croatia; Institute of Emergency Medicine of Split-Dalmatia County (ZHM SDZ), Split, Croatia
| | - Alex Sirker
- Department of Cardiology, University College London Hospitals and Barts Heart Centre, London, United Kingdom
| | - Mamas A Mamas
- Keele Cardiovascular Research Group, Keele University, Stoke-on-Trent, United Kingdom; Department of Cardiology, Royal Stoke University Hospital, Stoke-on-Trent, United Kingdom. https://twitter.com/MMamas1973
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Bharadwaj A, Potts J, Mohamed MO, Parwani P, Swamy P, Lopez-Mattei JC, Rashid M, Kwok CS, Fischman DL, Vassiliou VS, Freeman P, Michos ED, Mamas MA. Acute myocardial infarction treatments and outcomes in 6.5 million patients with a current or historical diagnosis of cancer in the USA. Eur Heart J 2020; 41:2183-2193. [DOI: 10.1093/eurheartj/ehz851] [Citation(s) in RCA: 89] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/30/2023] Open
Abstract
Abstract
Aims
The aim of this study is to evaluate temporal trends, treatment, and clinical outcomes of patients who present with an acute myocardial infarction (AMI) and have a current or historical diagnosis of cancer, according to cancer type and presence of metastases.
Methods and results
Data from 6 563 255 patients presenting with an AMI between 2004 and 2014 from the US National Inpatient Sample (NIS) database were analysed. A total of 5 966 955 had no cancer, 186 604 had current cancer, and 409 697 had a historical diagnosis of cancer. Prostate, breast, colon, and lung cancer were the four most common types of cancer. Patients with cancer were older with more comorbidities. Differences in invasive treatment were noted, 43.9% received percutaneous coronary intervention (PCI) in patients without cancer, whilst only 21.0% of patients with lung cancer received PCI. Lung cancer was associated with the highest in-hospital mortality [odds ratio (OR) 2.71, 95% confidence interval (CI) 2.62–2.80], major adverse cardiovascular and cerebrovascular complications (OR 2.38, 95% CI 2.31–2.45), and stroke (OR 1.91, 95% CI 1.80–2.02), while colon cancer was associated with highest risk of bleeding (OR 2.82, 95% CI 2.68–2.98). Irrespective of the type of cancer, presence of metastasis was associated with worse in-hospital outcomes, and historical cancer did not adversely impact on survival (OR 0.90, 95% CI 0.89–0.91).
Conclusion
A concomitant cancer diagnosis is associated with a conservative medical management strategy for AMI, and worse clinical outcomes, compared to patients without cancer. Survival and clinical outcomes in the context of AMI vary significantly according to the type of cancer and metastasis status. The management of this high-risk group is challenging and requires a multidisciplinary and patient-centred approach to improve their outcomes.
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Affiliation(s)
- Aditya Bharadwaj
- Division of Cardiology, Department of Medicine, Loma Linda University , 11234 Anderson St, Loma Linda, CA 92354, USA
| | - Jessica Potts
- Keele Cardiovascular Research Group, Keele University , Stoke-on-Trent, ST5 5BG, UK
| | - Mohamed O Mohamed
- Keele Cardiovascular Research Group, Keele University , Stoke-on-Trent, ST5 5BG, UK
| | - Purvi Parwani
- Division of Cardiology, Department of Medicine, Loma Linda University , 11234 Anderson St, Loma Linda, CA 92354, USA
| | - Pooja Swamy
- Division of Cardiology, Department of Medicine, Loma Linda University , 11234 Anderson St, Loma Linda, CA 92354, USA
| | - Juan C Lopez-Mattei
- Department of Cardiology, Division of Internal Medicine, University of Texas MD Anderson Cancer Center , 1515 Holcombe Blvd, Houston, TX 77030, USA
| | - Muhammad Rashid
- Keele Cardiovascular Research Group, Keele University , Stoke-on-Trent, ST5 5BG, UK
| | - Chun Shing Kwok
- Keele Cardiovascular Research Group, Keele University , Stoke-on-Trent, ST5 5BG, UK
| | - David L Fischman
- Department of Medicine (Cardiology), Thomas Jefferson University Hospital , 111 S 11th St, Philadelphia, PA 19107, USA
| | - Vassilios S Vassiliou
- Department of Cardiology, Norwich Medical School, University of East Anglia, Bob Champion Research and Education , Norwich NR4 7TJ, UK
| | - Philip Freeman
- Cardiology Department, Aalborg University Hospital , Hobrovej 18-22, 9100 Aalborg, Denmark
| | - Erin D Michos
- Department of Medicine (Cardiology), Johns Hopkins School of Medicine , 733 N Broadway, Baltimore, MD 21205, USA
- Department of Cardiology, Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins School of Medicine , 733 N Broadway, Baltimore, MD 21205, USA
| | - Mamas A Mamas
- Keele Cardiovascular Research Group, Keele University , Stoke-on-Trent, ST5 5BG, UK
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Taxiarchi P, Martin GP, Kinnaird T, Curzen N, Ahmed J, Ludman P, De Belder M, Shoaib A, Rashid M, Kontopantelis E, Mamas MA. Contributors to the Growth of Same Day Discharge After Elective Percutaneous Coronary Intervention. Circ Cardiovasc Interv 2020; 13:e008458. [DOI: 10.1161/circinterventions.119.008458] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background:
Financial pressures for reducing hospitalization costs have driven to a move toward same day discharge (SDD) following uncomplicated percutaneous coronary intervention. The UK healthcare system has transitioned to predominantly SDD for elective percutaneous coronary intervention. This study aimed to examine patient’s clinical, procedural, and institutional characteristics that are associated with the increased adoption of SDD adoption over time in the United Kingdom and determine whether these vary by region.
Methods:
The data were derived from the British Cardiovascular Intervention Society including all the elective percutaneous coronary intervention from 2007 to 2014 in the United Kingdom. We structured 8 meaningful groups of variables, and their relative importance was obtained by decomposing the R
2
in each study year.
Results:
The relative importance of Strategic Health Authorities was substantially higher than all other factors every year, with some reduction over time, from 49.2% (95% CI, 45.4%–52.4%) in 2007 to 43.4% (95% CI, 39.9%–46.6%) in 2014. Center volume followed with 8.95% (95% CI, 7.0%–10.9%) to 19.8% (95% CI, 16.7%–22.4%). Between patients’ clinical and procedural characteristics, pharmacology and access site had the highest relative importance values, from 14.3% (95% CI, 12.1%–16.4%) to 7.1% (95% CI, 5.5%–8.8%) and from 3.6% (95% CI, 2.3%–5.1%) to 11.8% (95% CI, 9.4%–14.3%), respectively. Relative importance of different groups varied differently across Strategic Health Authorities.
Conclusions:
Growth of SDD was mainly associated with regional characteristics, while subcontributors varied substantially between different regions. Standardized guidelines would provide more homogenous adoption of SDD nationally. This analysis might be of wider interest in healthcare systems slower in SDD adoption.
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Affiliation(s)
- Paraskevi Taxiarchi
- Division of Informatics, Imaging and Data Science, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, United Kingdom (P.T., G.P.M.)
| | - Glen P. Martin
- Division of Informatics, Imaging and Data Science, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, United Kingdom (P.T., G.P.M.)
| | - Tim Kinnaird
- Department of Cardiology, University Hospital of Wales, Cardiff, United Kingdom (T.K.)
- Keele Cardiovascular Research Group, Institute of Primary Care and Health Sciences, University of Keele (T.K., A.S., M.R., M.A.M.)
| | - Nick Curzen
- Coronary Research Group, University Hospital Southampton, Faculty of Medicine, University of Southampton, United Kingdom (N.C.)
| | - Javed Ahmed
- Department of Cardiology, Freeman Hospital, Newcastle, United Kingdom (J.A.)
| | - Peter Ludman
- Cardiology Department, Queen Elizabeth Hospital, Birmingham, United Kingdom (P.L.)
| | - Mark De Belder
- Department of Cardiology, The James Cook University Hospital, Middlesbrough, United Kingdom (M.D.B.)
| | - Ahmad Shoaib
- Keele Cardiovascular Research Group, Institute of Primary Care and Health Sciences, University of Keele (T.K., A.S., M.R., M.A.M.)
- Academic Department of Cardiology, Royal Stoke Hospital, Stoke-on-Trent, United Kingdom (A.S., M.R., M.A.M.)
| | - Muhammad Rashid
- Keele Cardiovascular Research Group, Institute of Primary Care and Health Sciences, University of Keele (T.K., A.S., M.R., M.A.M.)
- Academic Department of Cardiology, Royal Stoke Hospital, Stoke-on-Trent, United Kingdom (A.S., M.R., M.A.M.)
| | - Evangelos Kontopantelis
- Division of Population Health, Health Services Research and Primary Care, University of Manchester, United Kingdom (E.K., M.A.M.)
| | - Mamas A. Mamas
- Keele Cardiovascular Research Group, Institute of Primary Care and Health Sciences, University of Keele (T.K., A.S., M.R., M.A.M.)
- Academic Department of Cardiology, Royal Stoke Hospital, Stoke-on-Trent, United Kingdom (A.S., M.R., M.A.M.)
- Department of Medicine (Cardiology), Thomas Jefferson University Hospital, Philadelphia, PA (M.A.M.)
- Division of Population Health, Health Services Research and Primary Care, University of Manchester, United Kingdom (E.K., M.A.M.)
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Caracciolo A, Mazzone P, Laterra G, Garcia-Ruiz V, Polimeni A, Galasso S, Saporito F, Carerj S, D’Ascenzo F, Marquis-Gravel G, Giustino G, Costa F. Antithrombotic Therapy for Percutaneous Cardiovascular Interventions: From Coronary Artery Disease to Structural Heart Interventions. J Clin Med 2019; 8:E2016. [PMID: 31752292 PMCID: PMC6912795 DOI: 10.3390/jcm8112016] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Revised: 11/05/2019] [Accepted: 11/15/2019] [Indexed: 02/02/2023] Open
Abstract
Percutaneous cardiovascular interventions have changed dramatically in recent years, and the impetus given by the rapid implementation of novel techniques and devices have been mirrored by a refinement of antithrombotic strategies for secondary prevention, which have been supported by a significant burden of evidence from clinical studies. In the current manuscript, we aim to provide a comprehensive, yet pragmatic, revision of the current available evidence regarding antithrombotic strategies in the domain of percutaneous cardiovascular interventions. We revise the evidence regarding antithrombotic therapy for secondary prevention in coronary artery disease and stent implantation, the complex interrelation between antiplatelet and anticoagulant therapy in patients undergoing percutaneous coronary intervention with concomitant atrial fibrillation, and finally focus on the novel developments in the secondary prevention after structural heart disease intervention. A special focus on treatment individualization is included to emphasize risk and benefits of each therapeutic strategy.
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Affiliation(s)
- Alessandro Caracciolo
- Department of Clinical and Experimental Medicine, Policlinic “G. Martino”, University of Messina, 98100 Messina, Italy; (A.C.); (P.M.); (G.L.); (S.G.); (F.S.); (S.C.)
| | - Paolo Mazzone
- Department of Clinical and Experimental Medicine, Policlinic “G. Martino”, University of Messina, 98100 Messina, Italy; (A.C.); (P.M.); (G.L.); (S.G.); (F.S.); (S.C.)
| | - Giulia Laterra
- Department of Clinical and Experimental Medicine, Policlinic “G. Martino”, University of Messina, 98100 Messina, Italy; (A.C.); (P.M.); (G.L.); (S.G.); (F.S.); (S.C.)
| | - Victoria Garcia-Ruiz
- UGC del Corazón, Servicio de Cardiología, Hospital Clínico Universitario Virgen de la Victoria, 29010 Málaga, Spain;
| | - Alberto Polimeni
- Division of Cardiology, Department of Medical and Surgical Sciences, Magna Graecia University, 88100 Catanzaro, Italy;
| | - Salvatore Galasso
- Department of Clinical and Experimental Medicine, Policlinic “G. Martino”, University of Messina, 98100 Messina, Italy; (A.C.); (P.M.); (G.L.); (S.G.); (F.S.); (S.C.)
| | - Francesco Saporito
- Department of Clinical and Experimental Medicine, Policlinic “G. Martino”, University of Messina, 98100 Messina, Italy; (A.C.); (P.M.); (G.L.); (S.G.); (F.S.); (S.C.)
| | - Scipione Carerj
- Department of Clinical and Experimental Medicine, Policlinic “G. Martino”, University of Messina, 98100 Messina, Italy; (A.C.); (P.M.); (G.L.); (S.G.); (F.S.); (S.C.)
| | - Fabrizio D’Ascenzo
- Division of Cardiology, Department of Medical Sciences, Città della Salute e della Scienza, University of Turin, 10124 Turin, Italy;
| | - Guillaume Marquis-Gravel
- Duke Clinical Research Institute, Durham, NC 27708, USA;
- Montreal Heart Institute, Montreal, QC H1T 1C8, Canada
| | - Gennaro Giustino
- The Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029-6574, USA;
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY 10029-6574, USA
| | - Francesco Costa
- Department of Clinical and Experimental Medicine, Policlinic “G. Martino”, University of Messina, 98100 Messina, Italy; (A.C.); (P.M.); (G.L.); (S.G.); (F.S.); (S.C.)
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Jones DA, Rathod KS, Koganti S, Lim P, Firoozi S, Bogle R, Jain AK, MacCarthy PA, Dalby MC, Malik IS, Mathur A, DeSilva R, Rakhit R, Kalra SS, Redwood S, Ludman P, Wragg A. The association between the public reporting of individual operator outcomes with patient profiles, procedural management, and mortality after percutaneous coronary intervention: an observational study from the Pan-London PCI (BCIS) Registry using an interrupted time series analysis. Eur Heart J 2019; 40:2620-2629. [PMID: 31220238 DOI: 10.1093/eurheartj/ehz152] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2018] [Revised: 01/17/2019] [Accepted: 03/03/2019] [Indexed: 01/10/2023] Open
Abstract
AIMS The public reporting of healthcare outcomes has a number of potential benefits; however, unintended consequences may limit its effectiveness as a quality improvement process. We aimed to assess whether the introduction of individual operator specific outcome reporting after percutaneous coronary intervention (PCI) in the UK was associated with a change in patient risk factor profiles, procedural management, or 30-day mortality outcomes in a large cohort of consecutive patients. METHODS AND RESULTS This was an observational cohort study of 123 780 consecutive PCI procedures from the Pan-London (UK) PCI registry, from January 2005 to December 2015. Outcomes were compared pre- (2005-11) and post- (2011-15) public reporting including the use of an interrupted time series analysis. Patients treated after public reporting was introduced were older and had more complex medical problems. Despite this, reported in-hospital major adverse cardiovascular and cerebrovascular events rates were significantly lower after the introduction of public reporting (2.3 vs. 2.7%, P < 0.0001). Interrupted time series analysis demonstrated evidence of a reduction in 30-day mortality rates after the introduction of public reporting, which was over and above the existing trend in mortality before the introduction of public outcome reporting (35% decrease relative risk 0.64, 95% confidence interval 0.55-0.77; P < 0.0001). CONCLUSION The introduction of public reporting has been associated with an improvement in outcomes after PCI in this data set, without evidence of risk-averse behaviour. However, the lower reported complication rates might suggest a change in operator behaviour and decision-making confirming the need for continued surveillance of the impact of public reporting on outcomes and operator behaviour.
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Affiliation(s)
- Daniel A Jones
- Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, West Smithfield, London, UK
| | - Krishnaraj S Rathod
- Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, West Smithfield, London, UK
| | - Sudheer Koganti
- Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, West Smithfield, London, UK
| | - Pitt Lim
- Department of Cardiology, St. George's Healthcare NHS Foundation Trust, St. George's Hospital, Blackshaw Road, Tooting, London, UK
| | - Sam Firoozi
- Department of Cardiology, St. George's Healthcare NHS Foundation Trust, St. George's Hospital, Blackshaw Road, Tooting, London, UK
| | - Richard Bogle
- Department of Cardiology, St. George's Healthcare NHS Foundation Trust, St. George's Hospital, Blackshaw Road, Tooting, London, UK
| | - Ajay K Jain
- Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, West Smithfield, London, UK
| | - Philip A MacCarthy
- Department of Cardiology, Kings College Hospital, King's College Hospital NHS Foundation Trust, Denmark Hill, 10 Cutcombe Road, London, UK
| | - Miles C Dalby
- Department of Cardiology, Royal Brompton & Harefield NHS Foundation Trust, Harefield Hospital, Hill End Road, Middlesex, UK
| | - Iqbal S Malik
- Department of Cardiology, Imperial College Healthcare NHS Foundation Trust, Hammersmith Hospital, Du Cane Road, London, UK
| | - Anthony Mathur
- Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, West Smithfield, London, UK
| | - Ranil DeSilva
- Department of Cardiology, Royal Brompton & Harefield NHS Foundation Trust, Harefield Hospital, Hill End Road, Middlesex, UK
| | - Roby Rakhit
- Department of Cardiology, Royal Free London NHS Foundation Trust, Pond Street, London, UK
| | - Sundeep Singh Kalra
- Department of Cardiology, Royal Free London NHS Foundation Trust, Pond Street, London, UK
| | - Simon Redwood
- Department of Cardiology, St Thomas' NHS Foundation Trust, Guys & St. Thomas Hospital, Westminster Bridge Rd, London, UK
| | - Peter Ludman
- Queen Elizabeth Hospital, Mindelsohn Way, Edgbaston, Birmingham, UK
| | - Andrew Wragg
- Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, West Smithfield, London, UK
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Stouffer GA, Means GT, Yeung M. To Stay or Not to Stay: That Is the Question. JACC Cardiovasc Interv 2019; 12:1495-1496. [PMID: 31395219 DOI: 10.1016/j.jcin.2019.04.042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Accepted: 04/30/2019] [Indexed: 11/17/2022]
Affiliation(s)
- George A Stouffer
- Division of Cardiology, University of North Carolina, Chapel Hill, North Carolina.
| | - Greg T Means
- Division of Cardiology, University of North Carolina, Chapel Hill, North Carolina
| | - Mike Yeung
- Division of Cardiology, University of North Carolina, Chapel Hill, North Carolina
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Same-Day Discharge After Elective Percutaneous Coronary Intervention. JACC Cardiovasc Interv 2019; 12:1479-1494. [DOI: 10.1016/j.jcin.2019.03.030] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2018] [Revised: 03/22/2019] [Accepted: 03/26/2019] [Indexed: 11/17/2022]
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Inohara T, Kohsaka S, Yamaji K, Ishii H, Amano T, Uemura S, Kadota K, Kumamaru H, Miyata H, Nakamura M. Risk stratification model for in-hospital death in patients undergoing percutaneous coronary intervention: a nationwide retrospective cohort study in Japan. BMJ Open 2019; 9:e026683. [PMID: 31122979 PMCID: PMC6538054 DOI: 10.1136/bmjopen-2018-026683] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2018] [Revised: 03/04/2019] [Accepted: 04/03/2019] [Indexed: 11/25/2022] Open
Abstract
OBJECTIVES To provide an accurate adjustment for mortality in a benchmark, developing a risk prediction model from its own dataset is mandatory. We aimed to develop and validate a risk model predicting in-hospital mortality in a broad spectrum of Japanese patients after percutaneous coronary intervention (PCI). DESIGN A retrospective cohort study was conducted. SETTING The Japanese-PCI (J-PCI) registry includes a nationally representative retrospective sample of patients who underwent PCI and covers approximately 88% of all PCIs in Japan. PARTICIPANTS Overall, 669 181 patients who underwent PCI between January 2014 and December 2016 in 1018 institutes. MAIN OUTCOME MEASURES In-hospital death. RESULTS The study population (n=669 181; mean (SD) age, 70.1(11.0) years; women, 24.0%) was divided into two groups: 50% of the sample was used for model derivation (n=334 591), while the remaining 50% was used for model validation (n=334 590). Using the derivation cohort, both 'full' and 'preprocedure' risk models were developed using logistic regression analysis. Using the validation cohort, the developed risk models were internally validated. The in-hospital mortality rate was 0.7%. The preprocedure model included age, sex, clinical presentation, previous PCI, previous coronary artery bypass grafting, hypertension, dyslipidaemia, smoking, renal dysfunction, dialysis, peripheral vascular disease, previous heart failure and cardiogenic shock. Angiographic information, such as the number of diseased vessel and location of the target lesion, was also included in the full model. Both models performed well in the entire validation cohort (C-indexes: 0.929 and 0.926 for full and preprocedure models, respectively) and among prespecified subgroups with good calibration, although both models underestimated the risk of mortality in high-risk patients with the elective procedure. CONCLUSIONS These simple models from a nationwide J-PCI registry, which is easily applicable in clinical practice and readily available directly at the patients' presentation, are valid tools for preprocedural risk stratification of patients undergoing PCI in contemporary Japanese practice.
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Affiliation(s)
- Taku Inohara
- Department of Cardiology, Keio University Hospital, Shinjuku-ku, Tokyo, Japan
| | - Shun Kohsaka
- Japanese Association of Cardiovascular Intervention and Therapeutics, Tokyo, Japan
| | - Kyohei Yamaji
- Division of Cardiology, Kokura Memorial Hospital, Kitakyushu, Fukuoka, Japan
| | - Hideki Ishii
- Department of Cardiology, Graduate School of Medicine, Nagoya University, Nagoya, Japan
| | - Tetsuya Amano
- Department of Cardiology, Aichi Medical University, Aichi-gun, Aichi, Japan
| | - Shiro Uemura
- Department of Cardiology, Kawasaki Medical School, Kurashiki, Okayama, Japan
| | - Kazushige Kadota
- Department of Cardiology, Kurashiki Central Hospital, Kurashiki, Okayama, Japan
| | - Hiraku Kumamaru
- Division of Cardiovascular Medicine, Toho University Ohashi Medical Center, National Clinical Database, Tokyo, Japan
| | - Hiroaki Miyata
- Division of Cardiovascular Medicine, Toho University Ohashi Medical Center, National Clinical Database, Tokyo, Japan
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Gibertoni D, Rucci P, Mandreoli M, Corradini M, Martelli D, Russo G, Mancini E, Santoro A. Temporal validation of the CT-PIRP prognostic model for mortality and renal replacement therapy initiation in chronic kidney disease patients. BMC Nephrol 2019; 20:177. [PMID: 31101030 PMCID: PMC6524315 DOI: 10.1186/s12882-019-1345-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2018] [Accepted: 04/18/2019] [Indexed: 12/23/2022] Open
Abstract
Background A classification tree model (CT-PIRP) was developed in 2013 to predict the annual renal function decline of patients with chronic kidney disease (CKD) participating in the PIRP (Progetto Insufficienza Renale Progressiva) project, which involves thirteen Nephrology Hospital Units in Emilia-Romagna (Italy). This model identified seven subgroups with specific combinations of baseline characteristics that were associated with a differential estimated glomerular filtration rate (eGFR) annual decline, but the model’s ability to predict mortality and renal replacement therapy (RRT) has not been established yet. Methods Survival analysis was used to determine whether CT-PIRP subgroups identified in the derivation cohort (n = 2265) had different mortality and RRT risks. Temporal validation was performed in a matched cohort (n = 2051) of subsequently enrolled PIRP patients, in which discrimination and calibration were assessed using Kaplan-Meier survival curves, Cox regression and Fine & Gray competing risk modeling. Results In both cohorts mortality risk was higher for subgroups 3 (proteinuric, low eGFR, high serum phosphate) and lower for subgroups 1 (proteinuric, high eGFR), 4 (non-proteinuric, younger, non-diabetic) and 5 (non-proteinuric, younger, diabetic). Risk of RRT was higher for subgroups 3 and 2 (proteinuric, low eGFR, low serum phosphate), while subgroups 1, 6 (non-proteinuric, old females) and 7 (non-proteinuric, old males) showed lower risk. Calibration was excellent for mortality in all subgroups while for RRT it was overall good except in subgroups 4 and 5. Conclusions The CT-PIRP model is a temporally validated prediction tool for mortality and RRT, based on variables routinely collected, that could assist decision-making regarding the treatment of incident CKD patients. External validation in other CKD populations is needed to determine its generalizability.
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Affiliation(s)
- Dino Gibertoni
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Paola Rucci
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Marcora Mandreoli
- Nephrology and Dialysis Unit, Ospedale S. Maria della Scaletta, Via Montericco, 4, 40026, Imola, Italy.
| | - Mattia Corradini
- Nephrology and Dialysis Unit, Ospedale S.Maria Nuova, Reggio Emilia, Italy
| | - Davide Martelli
- Nephrology and Dialysis Unit, Ospedale S.Maria delle Croci, Ravenna, Italy
| | - Giorgia Russo
- Nephrology and Dialysis Unit, Ospedale S.Anna, Ferrara, Italy
| | - Elena Mancini
- Nephrology, Dialysis and Hypertension Unit, Policlinico S.Orsola-Malpighi, Bologna, Italy
| | - Antonio Santoro
- Nephrology, Dialysis and Hypertension Unit, Policlinico S.Orsola-Malpighi, Bologna, Italy
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Ludman P. British Cardiovascular Intervention Society database: insights into interventional cardiology in the United Kingdom. Heart 2019; 105:1289. [PMID: 30962191 DOI: 10.1136/heartjnl-2018-314533] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Affiliation(s)
- Peter Ludman
- Cardiology Department, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom.,Institute of Cardiovascular Sciences, Birmingham University, Birmingham, United Kingdom
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Potts J, Nagaraja V, Al Suwaidi J, Brugaletta S, Martinez SC, Alraies C, Fischman D, Kwok CS, Nolan J, Mylotte D, Mamas MA. The influence of Elixhauser comorbidity index on percutaneous coronary intervention outcomes. Catheter Cardiovasc Interv 2019; 94:195-203. [PMID: 30628747 DOI: 10.1002/ccd.28072] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2018] [Accepted: 12/26/2018] [Indexed: 11/08/2022]
Abstract
BACKGROUND Clinical outcomes with respect to the evolution of comorbidity burden in national cohorts of patients undergoing PCI have not been reported. OBJECTIVES We sought to explore the association between comorbidity burden and periprocedural outcomes in patients treated with PCI in the National Inpatient Sample. METHODS 6,601,526 PCI procedures were identified between 2004 and 2014 and comorbidities were defined by the Elixhauser classification system (ECS) consisting of 30 comorbidity measures. Endpoints included in-hospital mortality, periprocedural complications, length of stay and cost. Patients were classified based on their ECS in five categories (ECS I < 0, ECS II = 0, ECS III = 1-5, ECS IV = 6-13, and ECS V ≥ 14). RESULTS Patients with a score over 13 had a fivefold increase in the odds of mortality (OR: 5.13, 95% CI: 4.76-5.54), major bleeding (OR: 11.46, 95% CI: 10.66-12.33) and doubled the hospitalization costs ($31,452 vs $17.566). CONCLUSIONS Our study of over six million PCI procedures demonstrates that patients with the greatest comorbid burden (as defined by an ECS of >13) have a fivefold increase risk of in-hospital mortality, a fourfold increase in in-hospital periprocedural complications and an 11-fold increase in major bleeding events once differences in baseline patient characteristics are adjusted for. In addition, ECS significantly impacts the length of stay and doubles the healthcare costs. Comorbid burden is an important predictor of poor outcomes after PCI and should be considered as part of the decision-making processes in patients undergoing PCI.
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Affiliation(s)
- Jessica Potts
- Keele Cardiovascular Research Group, Centre for Prognosis Research, Institute of Primary Care and Health Sciences, Keele University, and Academic Dept of Cardiology, Royal Stoke Hospital, Stoke-on-Trent, England, United Kingdom
| | - Vinayak Nagaraja
- Keele Cardiovascular Research Group, Centre for Prognosis Research, Institute of Primary Care and Health Sciences, Keele University, and Academic Dept of Cardiology, Royal Stoke Hospital, Stoke-on-Trent, England, United Kingdom.,Department of Cardiology, Prince of Wales Hospital and Community Health Services, Randwick, New South Wales, Australia
| | - Jassim Al Suwaidi
- Weill Cornell Medical School, Qatar, Department of Cardiology, Hamad General Hospital, Doha, Qatar
| | - Salvatore Brugaletta
- Division of Cardiology, Cardiovascular Institute, Hospital Clinic, IDIBAPS, Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
| | - Sara C Martinez
- Division of Cardiology, Providence St. Peter Hospital, Washington
| | - Chadi Alraies
- Division of Cardiology, Wayne State University, Detroit Medical Center Heart Hospital, Detroit, Michigan
| | - David Fischman
- Department of Medicine (Cardiology), Thomas Jefferson University Hospital, Philadelphia, Pennsylvania
| | - Chun Shing Kwok
- Keele Cardiovascular Research Group, Centre for Prognosis Research, Institute of Primary Care and Health Sciences, Keele University, and Academic Dept of Cardiology, Royal Stoke Hospital, Stoke-on-Trent, England, United Kingdom
| | - Jim Nolan
- Keele Cardiovascular Research Group, Centre for Prognosis Research, Institute of Primary Care and Health Sciences, Keele University, and Academic Dept of Cardiology, Royal Stoke Hospital, Stoke-on-Trent, England, United Kingdom
| | - Darren Mylotte
- Department of Cardiology, University Hospital Galway, Galway, Ireland
| | - Mamas A Mamas
- Keele Cardiovascular Research Group, Centre for Prognosis Research, Institute of Primary Care and Health Sciences, Keele University, and Academic Dept of Cardiology, Royal Stoke Hospital, Stoke-on-Trent, England, United Kingdom.,Institute of Population Health Sciences, University of Manchester, Manchester, England, United Kingdom
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40
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Potts JE, Iliescu CA, Lopez Mattei JC, Martinez SC, Holmvang L, Ludman P, De Belder MA, Kwok CS, Rashid M, Fischman DL, Mamas MA. Percutaneous coronary intervention in cancer patients: a report of the prevalence and outcomes in the United States. Eur Heart J 2018; 40:1790-1800. [DOI: 10.1093/eurheartj/ehy769] [Citation(s) in RCA: 84] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2018] [Revised: 07/25/2018] [Accepted: 11/16/2018] [Indexed: 12/17/2022] Open
Affiliation(s)
- Jessica E Potts
- Keele Cardiovascular Research Group, Centre for Prognosis Research, Institute for Primary Care and Health Sciences, Keele University, Keele Road, Stoke-on-Trent, UK
| | - Cezar A Iliescu
- Department of Cardiology, MD Anderson Cancer Center, University of Texas, Houston, TX, USA
| | - Juan C Lopez Mattei
- Department of Cardiology, MD Anderson Cancer Center, University of Texas, Houston, TX, USA
| | - Sara C Martinez
- Division of Cardiology, Providence St. Peter Hospital, Olympia, WA, USA
| | - Lene Holmvang
- Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Peter Ludman
- Department of Cardiology, Queen Elizabeth Hospital Birmingham, Birmingham, UK
| | - Mark A De Belder
- Department of Cardiology, James Cook University Hospital, Middlesborough, UK
| | - Chun Shing Kwok
- Keele Cardiovascular Research Group, Centre for Prognosis Research, Institute for Primary Care and Health Sciences, Keele University, Keele Road, Stoke-on-Trent, UK
- Academic Department of Cardiology, Royal Stoke Hospital, Stoke-on-Trent, UK
| | - Muhammad Rashid
- Keele Cardiovascular Research Group, Centre for Prognosis Research, Institute for Primary Care and Health Sciences, Keele University, Keele Road, Stoke-on-Trent, UK
- Academic Department of Cardiology, Royal Stoke Hospital, Stoke-on-Trent, UK
| | - David L Fischman
- Department of Medicine (Cardiology), Thomas Jefferson University Hospital, Philadelphia, PA, USA
| | - Mamas A Mamas
- Keele Cardiovascular Research Group, Centre for Prognosis Research, Institute for Primary Care and Health Sciences, Keele University, Keele Road, Stoke-on-Trent, UK
- Academic Department of Cardiology, Royal Stoke Hospital, Stoke-on-Trent, UK
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Costa F, Windecker S, Valgimigli M. Dual Antiplatelet Therapy Duration: Reconciling the Inconsistencies. Drugs 2018; 77:1733-1754. [PMID: 28853033 DOI: 10.1007/s40265-017-0806-1] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Dual antiplatelet therapy (DAPT) prevents recurrent ischemic events after an acute coronary syndrome (ACS) as well as stent thrombosis (ST) in patients with prior stent implantation. Nevertheless, these benefits are counterbalanced by a significant bleeding hazard, which is directly related to the treatment duration. Although DAPT has been extensively studied in numerous clinical trials, optimal treatment duration is still debated, mostly because of apparent inconsistencies among studies. Shortened treatment duration of 6 or 3 months was shown to mitigate bleeding risk compared with consensus-grounded 12-month standard duration, without any apparent excess of ischemic events. However, recent trials showed that a >12-month course of treatment reduces ischemic events but increases bleeding compared with 12 months. The inconsistent benefit of a longer DAPT course compared with shorter treatment durations is puzzling, and requires a careful appraisal of between-studies differences. We sought to summarize the existing evidence aiming at reconciling apparent inconsistencies among these studies, as well as thoroughly discuss the possible increased risk of fatal events associated with long-term DAPT. Benefits and risks of prolonging or shortening DAPT duration will be discussed, with a focus on treatment individualization. Finally, we will provide an outlook for possible future directions in the field.
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Affiliation(s)
- Francesco Costa
- Department of Clinical and Experimental Medicine, Policlinic "G. Martino", University of Messina, Messina, Italy
- Thoraxcenter, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Stephan Windecker
- Swiss Cardiovascular Center Bern, Bern University Hospital, 3010, Bern, Switzerland
| | - Marco Valgimigli
- Thoraxcenter, Erasmus Medical Center, Rotterdam, The Netherlands.
- Swiss Cardiovascular Center Bern, Bern University Hospital, 3010, Bern, Switzerland.
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42
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Biswas S, Lefkovits J, Liew D, Gale CP, Reid CM, Stub D. Characteristics of national and major regional percutaneous coronary intervention registries: a structured literature review. EUROINTERVENTION 2018; 14:1112-1120. [DOI: 10.4244/eij-d-18-00434] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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43
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Temporal Changes in Co-Morbidity Burden in Patients Having Percutaneous Coronary Intervention and Impact on Prognosis. Am J Cardiol 2018; 122:712-722. [PMID: 30072123 DOI: 10.1016/j.amjcard.2018.05.003] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2018] [Revised: 05/12/2018] [Accepted: 05/16/2018] [Indexed: 10/28/2022]
Abstract
This study aims to evaluate the impact of co-morbidity burden on outcomes in patients who undergo percutaneous coronary intervention (PCI). We used the Nationwide Inpatient Sample to identify all PCI procedures undertaken in the United States from 2004 to 2014. We then determined co-morbidity burden for each patient record based on the Charlson Co-morbidity Score. Multivariable logistic regression models were used to examine the association between co-morbidity burden and in-hospital mortality other in-hospital complications. A total of 6,601,526 PCI procedures were included in the analysis. Overall co-morbidity burden increased over time, with severe co-morbidity burden (defined as a CCI score ≥3) increasing from 5.3% in 2004 to 14.2% in 2014 (p <0.0001). After adjustment for confounding factors increasing co-morbidity burden was independently associated with increased odds of in-hospital mortality, complications, length of hospital stay, and total cost of hospitalization post PCI. A CCI score of 1 was independently associated with an increase in the odds of in hospital mortality (odds ratio [OR] 1.19 [95% confidence interval [CI] 1.15 to 1.25]), a score of 2 associated with an almost 1.5-fold increase (OR 1.41 [95% CI 1.34 to 1.48]) and a score of ≥3 a 2-fold increase (OR 1.96 [95% CI 1.86 to 2.07]) compared with no co-morbid burden (CCI score of 0). In conclusion, our results show that co-morbid burden is independently associated with increased risk of in-hospital mortality, in-hospital complications, length of stay, and healthcare costs.
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44
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O'Neill D, Nicholas O, Gale CP, Ludman P, de Belder MA, Timmis A, Fox KAA, Simpson IA, Redwood S, Ray SG. Total Center Percutaneous Coronary Intervention Volume and 30-Day Mortality: A Contemporary National Cohort Study of 427 467 Elective, Urgent, and Emergency Cases. Circ Cardiovasc Qual Outcomes 2017; 10:CIRCOUTCOMES.116.003186. [PMID: 28320707 DOI: 10.1161/circoutcomes.116.003186] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2016] [Accepted: 02/20/2017] [Indexed: 11/16/2022]
Abstract
BACKGROUND The relationship between procedural volume and prognosis after percutaneous coronary intervention (PCI) remains uncertain, with some studies finding in favor of an inverse association and some against. This UK study provides a contemporary reassessment in one of the few countries in the world with a nationally representative PCI registry. METHODS AND RESULTS A nationwide cohort study was performed using the national British Cardiovascular Intervention Society registry. All adult patients undergoing PCI in 93 English and Welsh NHS hospitals between 2007 and 2013 were analyzed using hierarchical modeling with adjustment for patient risk. Of 427 467 procedures (22.0% primary PCI) in 93 hospitals, 30-day mortality was 1.9% (4.8% primary PCI). 87.1% of centers undertook between 200 and 2000 procedures annually. Case mix varied with center volume. In centers with 200 to 399 PCI cases per year, a smaller proportion were PCI for ST-segment-elevation myocardial infarction (8.4%) than in centers with 1500 to 1999 PCI cases per year (24.2%), but proportionally more were for ST-segment-elevation myocardial infarction with cardiogenic shock (8.4% versus 4.3%). For the overall PCI cohort, after risk adjustment, there was no significant evidence of worse, or better, outcomes in lower volume centers from our own study, or in combination with results from other studies. For primary PCI, there was also no evidence for increased or decreased mortality in lower volume centers. CONCLUSIONS After adjustment for differences in case mix and clinical presentation, this study supports the conclusion of no trend for increased mortality in lower volume centers for PCI in the UK healthcare system. CLINICAL TRIAL REGISTRATION https://www.clinicaltrials.gov. Unique identifier: NCT02184949.
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Affiliation(s)
- Darragh O'Neill
- From the Research Department of Epidemiology and Public Health, University College London, United Kingdom (D.O., O.N.); Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, United Kingdom (C.P.G.); Department of Cardiology, York Teaching Hospital, United Kingdom (C.P.G.); Queen Elizabeth Hospital, Birmingham, United Kingdom (P.L.); The James Cook University Hospital, Middlesbrough, United Kingdom (M.A.d.B.); NIHR Cardiovascular Biomedical Research Unit, Barts Heart Centre, United Kingdom (A.T.); Centre for Cardiovascular Science, University of Edinburgh, United Kingdom (K.A.A.F.); Wessex Cardiac Unit, University Hospital Southampton, United Kingdom (I.A.S.); King's College London/St Thomas' Hospital, United Kingdom (S.R.); University Hospitals of South Manchester, United Kingdom (S.G.R.).
| | - Owen Nicholas
- From the Research Department of Epidemiology and Public Health, University College London, United Kingdom (D.O., O.N.); Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, United Kingdom (C.P.G.); Department of Cardiology, York Teaching Hospital, United Kingdom (C.P.G.); Queen Elizabeth Hospital, Birmingham, United Kingdom (P.L.); The James Cook University Hospital, Middlesbrough, United Kingdom (M.A.d.B.); NIHR Cardiovascular Biomedical Research Unit, Barts Heart Centre, United Kingdom (A.T.); Centre for Cardiovascular Science, University of Edinburgh, United Kingdom (K.A.A.F.); Wessex Cardiac Unit, University Hospital Southampton, United Kingdom (I.A.S.); King's College London/St Thomas' Hospital, United Kingdom (S.R.); University Hospitals of South Manchester, United Kingdom (S.G.R.)
| | - Chris P Gale
- From the Research Department of Epidemiology and Public Health, University College London, United Kingdom (D.O., O.N.); Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, United Kingdom (C.P.G.); Department of Cardiology, York Teaching Hospital, United Kingdom (C.P.G.); Queen Elizabeth Hospital, Birmingham, United Kingdom (P.L.); The James Cook University Hospital, Middlesbrough, United Kingdom (M.A.d.B.); NIHR Cardiovascular Biomedical Research Unit, Barts Heart Centre, United Kingdom (A.T.); Centre for Cardiovascular Science, University of Edinburgh, United Kingdom (K.A.A.F.); Wessex Cardiac Unit, University Hospital Southampton, United Kingdom (I.A.S.); King's College London/St Thomas' Hospital, United Kingdom (S.R.); University Hospitals of South Manchester, United Kingdom (S.G.R.)
| | - Peter Ludman
- From the Research Department of Epidemiology and Public Health, University College London, United Kingdom (D.O., O.N.); Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, United Kingdom (C.P.G.); Department of Cardiology, York Teaching Hospital, United Kingdom (C.P.G.); Queen Elizabeth Hospital, Birmingham, United Kingdom (P.L.); The James Cook University Hospital, Middlesbrough, United Kingdom (M.A.d.B.); NIHR Cardiovascular Biomedical Research Unit, Barts Heart Centre, United Kingdom (A.T.); Centre for Cardiovascular Science, University of Edinburgh, United Kingdom (K.A.A.F.); Wessex Cardiac Unit, University Hospital Southampton, United Kingdom (I.A.S.); King's College London/St Thomas' Hospital, United Kingdom (S.R.); University Hospitals of South Manchester, United Kingdom (S.G.R.)
| | - Mark A de Belder
- From the Research Department of Epidemiology and Public Health, University College London, United Kingdom (D.O., O.N.); Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, United Kingdom (C.P.G.); Department of Cardiology, York Teaching Hospital, United Kingdom (C.P.G.); Queen Elizabeth Hospital, Birmingham, United Kingdom (P.L.); The James Cook University Hospital, Middlesbrough, United Kingdom (M.A.d.B.); NIHR Cardiovascular Biomedical Research Unit, Barts Heart Centre, United Kingdom (A.T.); Centre for Cardiovascular Science, University of Edinburgh, United Kingdom (K.A.A.F.); Wessex Cardiac Unit, University Hospital Southampton, United Kingdom (I.A.S.); King's College London/St Thomas' Hospital, United Kingdom (S.R.); University Hospitals of South Manchester, United Kingdom (S.G.R.)
| | - Adam Timmis
- From the Research Department of Epidemiology and Public Health, University College London, United Kingdom (D.O., O.N.); Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, United Kingdom (C.P.G.); Department of Cardiology, York Teaching Hospital, United Kingdom (C.P.G.); Queen Elizabeth Hospital, Birmingham, United Kingdom (P.L.); The James Cook University Hospital, Middlesbrough, United Kingdom (M.A.d.B.); NIHR Cardiovascular Biomedical Research Unit, Barts Heart Centre, United Kingdom (A.T.); Centre for Cardiovascular Science, University of Edinburgh, United Kingdom (K.A.A.F.); Wessex Cardiac Unit, University Hospital Southampton, United Kingdom (I.A.S.); King's College London/St Thomas' Hospital, United Kingdom (S.R.); University Hospitals of South Manchester, United Kingdom (S.G.R.)
| | - Keith A A Fox
- From the Research Department of Epidemiology and Public Health, University College London, United Kingdom (D.O., O.N.); Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, United Kingdom (C.P.G.); Department of Cardiology, York Teaching Hospital, United Kingdom (C.P.G.); Queen Elizabeth Hospital, Birmingham, United Kingdom (P.L.); The James Cook University Hospital, Middlesbrough, United Kingdom (M.A.d.B.); NIHR Cardiovascular Biomedical Research Unit, Barts Heart Centre, United Kingdom (A.T.); Centre for Cardiovascular Science, University of Edinburgh, United Kingdom (K.A.A.F.); Wessex Cardiac Unit, University Hospital Southampton, United Kingdom (I.A.S.); King's College London/St Thomas' Hospital, United Kingdom (S.R.); University Hospitals of South Manchester, United Kingdom (S.G.R.)
| | - Iain A Simpson
- From the Research Department of Epidemiology and Public Health, University College London, United Kingdom (D.O., O.N.); Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, United Kingdom (C.P.G.); Department of Cardiology, York Teaching Hospital, United Kingdom (C.P.G.); Queen Elizabeth Hospital, Birmingham, United Kingdom (P.L.); The James Cook University Hospital, Middlesbrough, United Kingdom (M.A.d.B.); NIHR Cardiovascular Biomedical Research Unit, Barts Heart Centre, United Kingdom (A.T.); Centre for Cardiovascular Science, University of Edinburgh, United Kingdom (K.A.A.F.); Wessex Cardiac Unit, University Hospital Southampton, United Kingdom (I.A.S.); King's College London/St Thomas' Hospital, United Kingdom (S.R.); University Hospitals of South Manchester, United Kingdom (S.G.R.)
| | - Simon Redwood
- From the Research Department of Epidemiology and Public Health, University College London, United Kingdom (D.O., O.N.); Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, United Kingdom (C.P.G.); Department of Cardiology, York Teaching Hospital, United Kingdom (C.P.G.); Queen Elizabeth Hospital, Birmingham, United Kingdom (P.L.); The James Cook University Hospital, Middlesbrough, United Kingdom (M.A.d.B.); NIHR Cardiovascular Biomedical Research Unit, Barts Heart Centre, United Kingdom (A.T.); Centre for Cardiovascular Science, University of Edinburgh, United Kingdom (K.A.A.F.); Wessex Cardiac Unit, University Hospital Southampton, United Kingdom (I.A.S.); King's College London/St Thomas' Hospital, United Kingdom (S.R.); University Hospitals of South Manchester, United Kingdom (S.G.R.)
| | - Simon G Ray
- From the Research Department of Epidemiology and Public Health, University College London, United Kingdom (D.O., O.N.); Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, United Kingdom (C.P.G.); Department of Cardiology, York Teaching Hospital, United Kingdom (C.P.G.); Queen Elizabeth Hospital, Birmingham, United Kingdom (P.L.); The James Cook University Hospital, Middlesbrough, United Kingdom (M.A.d.B.); NIHR Cardiovascular Biomedical Research Unit, Barts Heart Centre, United Kingdom (A.T.); Centre for Cardiovascular Science, University of Edinburgh, United Kingdom (K.A.A.F.); Wessex Cardiac Unit, University Hospital Southampton, United Kingdom (I.A.S.); King's College London/St Thomas' Hospital, United Kingdom (S.R.); University Hospitals of South Manchester, United Kingdom (S.G.R.)
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Wall JJS, Iqbal J, Andrews M, Teare D, Ghobrial M, Hinton T, Turton S, Quffa L, El-Omar M, Fraser DG, Siotia A, Gunn J. Development and validation of a clinical risk score to predict mortality after percutaneous coronary intervention. Open Heart 2017; 4:e000576. [PMID: 28878944 PMCID: PMC5574428 DOI: 10.1136/openhrt-2016-000576] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2017] [Revised: 04/27/2017] [Accepted: 05/09/2017] [Indexed: 11/03/2022] Open
Abstract
OBJECTIVE To develop and validate a contemporary clinical risk score to predict mortality after percutaneous coronary intervention (PCI). METHODS Using data collected from patients undergoing PCI at the South Yorkshire Cardiothoracic Centre, Sheffield, UK, between January 2007 and September 2013, a risk score was developed to predict mortality. Logistic regression was used to evaluate the effect of each variable upon 30-day mortality. A backwards stepwise logistic regression model was then used to build a predictive model. The results were validated both internally and externally with data from Manchester Royal Infirmary, UK. 30-Day mortality status was determined from the UK Office of National Statistics. RESULTS The development data set comprised 6522 patients from Sheffield. Five risk factors, including cardiogenic shock, procedural urgency, history of renal disease, diabetes mellitus and age, were statistically significant to predict 30-day mortality. The risk score was validated internally on a further 3290 patients from Sheffield and externally on 3230 patients from Manchester. The discrimination of the model was high in the development (C-statistic=0.82, 95% CI 0.79 to 0.85), internal (C-statistic=0.81, 95% CI 0.76 to 0.86) and external (C statistics=0.90, 95% CI 0.87 to 0.93) cohorts. There was no significant difference between observed and predicted mortality in any group. CONCLUSION This contemporary risk score reliably predicts 30-day mortality after PCI using a small number of clinical variables obtainable prior to the procedure, without knowledge of the coronary anatomy.
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Affiliation(s)
- Joshua J S Wall
- Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.,South Yorkshire Cardiothoracic Centre, Sheffield, UK
| | - Javaid Iqbal
- Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.,South Yorkshire Cardiothoracic Centre, Sheffield, UK
| | - Michael Andrews
- Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.,South Yorkshire Cardiothoracic Centre, Sheffield, UK
| | - Dawn Teare
- Sheffield School for Health and Related Research, Sheffield, UK
| | - Mina Ghobrial
- Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.,South Yorkshire Cardiothoracic Centre, Sheffield, UK.,Freeman Hospital, Newcastle Upon Tyne Hospitals Foundation Trust, Newcastle Upon Tyne, UK
| | - Thomas Hinton
- Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.,South Yorkshire Cardiothoracic Centre, Sheffield, UK.,Bristol Heart Institute, Bristol, UK.,University of Bristol, Bristol, UK
| | - Samuel Turton
- Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.,South Yorkshire Cardiothoracic Centre, Sheffield, UK.,Faculty of Medicine, Imperial College London, London, UK
| | - Leila Quffa
- Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.,South Yorkshire Cardiothoracic Centre, Sheffield, UK
| | | | | | | | - Julian Gunn
- Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.,South Yorkshire Cardiothoracic Centre, Sheffield, UK.,Insigneo Institute for In Silico Medicine, Sheffield, UK
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46
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Ludman P, de Belder M, Redwood S, Banning A. United Kingdom: coronary and structural heart interventions from 2010 to 2015. EUROINTERVENTION 2017; 13:Z83-Z88. [DOI: 10.4244/eij-d-16-00833] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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