| 1. |
- Figtree, Gemma A., et al.
(författare)
-
Clinical Pathway for Coronary Atherosclerosis in Patients Without Conventional Modifiable Risk Factors JACC State-of-the-Art Review
- 2023
-
Ingår i: Journal of the American College of Cardiology. - : ELSEVIER SCIENCE INC. - 0735-1097 .- 1558-3597. ; 82:13, s. 1343-1359
-
Forskningsöversikt (refereegranskat)abstract
- Reducing the incidence and prevalence of standard modifiable cardiovascular risk factors (SMuRFs) is critical to tackling the global burden of coronary artery disease (CAD). However, a substantial number of individuals develop coronary atherosclerosis despite no SMuRFs. SMuRFless patients presenting with myocardial infarction have been observed to have an unexpected higher early mortality compared to their counterparts with at least 1 SMuRF. Evidence for optimal management of these patients is lacking. We assembled an international, multidisciplinary team to develop an evidence-based clinical pathway for SMuRFless CAD patients. A modified Delphi method was applied. The resulting pathway confirms underlying atherosclerosis and true SMuRFless status, ensures evidence-based secondary prevention, and considers additional tests and interventions for less typical contributors. This dedicated pathway for a previously overlooked CAD population, with an accompanying registry, aims to improve outcomes through enhanced adherence to evidence-based secondary prevention and additional diagnosis of modifiable risk factors observed. (c) 2023 The Authors. Published by Elsevier on behalf of the American College of Cardiology Foundation. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
|
|
| 2. |
|
|
| 3. |
- Aktaa, Suleman, et al.
(författare)
-
Data standards for transcatheter aortic valve implantation : the European Unified Registries for Heart Care Evaluation and Randomised Trials (EuroHeart).
- 2023
-
Ingår i: European Heart Journal - Quality of Care and Clinical Outcomes. - : Oxford University Press. - 2058-5225 .- 2058-1742. ; 9:5, s. 529-536
-
Tidskriftsartikel (refereegranskat)abstract
- AIMS: Standardized data definitions are necessary for the quantification of quality of care and patient outcomes in observational studies and randomised controlled trials (RCTs). The European Unified Registries for Heart Care Evaluation and Randomised Trials (EuroHeart) project of the European Society of Cardiology (ESC) aims to create pan-European data standards for cardiovascular diseases and interventions, including transcatheter aortic valve implantation (TAVI).METHODS AND RESULTS: We followed the EuroHeart methodology for cardiovascular data standard development. A Working Group of 29 members representing 12 countries was established and included a patient representative, as well as experts in the management of valvular heart disease from the European Association of Percutaneous Cardiovascular Interventions (EAPCI), the European Association of Cardiovascular Imaging (EACVI) and the Working Group on Cardiovascular Surgery. We conducted a systematic review of the literature and used a modified Delphi method to reach consensus on a final set of variables. For each variable, the Working Group provided a definition, permissible values and categorized the variable as mandatory (Level 1) or additional (Level 2) based on its clinical importance and feasibility. In total, 93 Level 1 and 113 Level 2 variables were selected, with the level 1 variables providing the dataset for registration of patients undergoing TAVI on the EuroHeart IT platform.CONCLUSION: This document provides details of the EuroHeart data standards for TAVI processes of care and in-hospital outcomes. In the context of EuroHeart, this will facilitate quality improvement, observational research, registry-based RCTs and post-marketing surveillance of devices and pharmacotherapies.
|
|
| 4. |
- Doolub, Gemina, et al.
(författare)
-
Impact of Sex on Clinical Outcomes in Patients undergoing Complex Percutaneous Coronary Angioplasty (from the e-ULTIMASTER Study)
- 2023
-
Ingår i: American Journal of Cardiology. - : Elsevier. - 0002-9149 .- 1879-1913. ; 186, s. 71-79
-
Tidskriftsartikel (refereegranskat)abstract
- Female gender has been shown to be associated with worse clinical outcomes after percutaneous coronary intervention (PCI). However, the impact of gender on the clinical outcomes of complex PCI is still poorly understood. This study examined the differences in patient and coronary lesion characteristics and longer-term clinical outcomes in male and female patients who underwent complex PCI. This was a sub-analysis of the e-ULTIMASTER study, which was a large, multicontinental, prospective, observational study enrolling 37,198 patients who underwent PCI with the Ultimaster stent. Patients who underwent complex PCI were stratified by gender. The primary outcome was target lesion failure at 12 months, defined as the composite of cardiac death, target vessel-related myocardial infarction, and clinically driven target lesion revascularization at 12 months. A total of 13,623 patients underwent complex procedures, of which 35.7% were women. Women were twice as likely as men to be aged ≥80 years (17.6% vs 9%, p <0.0001) and had a higher prevalence of cardiovascular risk factors. Women had fewer lesions treated than men (1.5 ± 0.8 vs 1.6 ± 0.8, p <0.0001) and fewer stents implanted (2.0 ± 1.1 vs 2.1 ± 1.1, p <0.0001). There was no statistically significant difference in clinical outcomes at 12 months between women and men. Event rates were comparable in women and men for target lesion failure (4.7% vs 4.3%, p = 0.30), target vessel failure (5.1% vs 4.9%, p = 0.73), and cardiac death (1.8% vs 1.7%, p = 0.80).In conclusion, our findings suggest no significant differences in clinical outcomes between women and men who underwent complex PCI.
|
|
| 5. |
- Kobo, Ofer, et al.
(författare)
-
Impact of Multisite artery disease on Clinical Outcomes After Percutaneous Coronary Intervention : An Analysis from the e-Ultimaster Registry
- 2023
-
Ingår i: European Heart Journal - Quality of Care and Clinical Outcomes. - : Oxford University Press. - 2058-5225 .- 2058-1742. ; 9:4, s. 417-426
-
Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Multisite artery disease is considered a 'malignant' type of atherosclerotic disease associated with an increased cardiovascular risk, but the impact of multisite artery disease on clinical outcomes after percutaneous coronary intervention (PCI) is unknown.METHODS: Patients enrolled in the large, prospective e-Ultimaster study were grouped into 1) those without known prior vascular disease; 2) those with known single-territory vascular disease 3) those with known 2-3 territories (i.e, coronary, cerebrovascular, or peripheral) vascular disease (multisite artery disease). The primary outcome was coronary target lesion failure (TLF) defined as the composite of cardiac death, target vessel-related myocardial infarction, and clinically driven target lesion revascularization at 1-year. Inverse propensity score weighted (IPSW) analysis was performed to address differences in baseline patient and lesion characteristics.RESULTS: Of the 37,198 patients included in the study, 62.3% had no prior known vascular disease, 32.6% had single-territory vascular disease, and 5.1% multisite artery disease. Patients with known vascular disease were older and were more likely to be men and to have more co-morbidities. After IPSW, the TLF rate incrementally increased with the number of diseased vascular beds (3.16%, 4.44% and 6.42% for no, single- and multisite artery disease, p<0.01 for all comparisons). This was also true for all cause death (2.22%, 3.28% and 5.29%, p<0.01 for all comparisons) and cardiac mortality (1.26%, 1.91% and 3.62%, p≤0.01 for all comparisons).CONCLUSIONS: Patients with previously known vascular disease experienced an increased risk for adverse cardiovascular events and mortality post percutaneous coronary intervention. This risk is highest among patients with multisite artery disease.
|
|
| 6. |
- Mamas, Mamas A., et al.
(författare)
-
Predicting target lesion failure following percutaneous coronary intervention through machine learning risk assessment models
- 2023
-
Ingår i: The European Heart Journal - Digital Health. - : Oxford University Press. - 2634-3916. ; 4:6, s. 433-443
-
Tidskriftsartikel (refereegranskat)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.
|
|
| 7. |
- Lawson, Claire A., et al.
(författare)
-
Comorbidity health pathways in heart failure patients: A sequences-of-regressions analysis using cross-sectional data from 10,575 patients in the Swedish Heart Failure Registry
- 2018
-
Ingår i: PLoS Medicine. - : PUBLIC LIBRARY SCIENCE. - 1549-1277 .- 1549-1676. ; 15:3
-
Tidskriftsartikel (refereegranskat)abstract
- Background amp; para;amp; para;Optimally treated heart failure (HF) patients often have persisting symptoms and poor health-related quality of life. Comorbidities are common, but little is known about their impact on these factors, and guideline-driven HF care remains focused on cardiovascular status. The following hypotheses were tested: (i) comorbidities are associated with more severe symptoms and functional limitations and subsequently worse patient-rated health in HF, and (ii) these patterns of association differ among selected comorbidities.amp; para;amp; para;Methods and findings amp; para;amp; para;The Swedish Heart Failure Registry (SHFR) is a national population-based register of HF patients admitted to amp;gt;85% of hospitals in Sweden or attending outpatient clinics. This study included 10,575 HF patients with patient-rated health recorded during first registration in the SHFR (1 February 2008 to 1 November 2013). An a priori health model and sequences-of-regressions analysis were used to test associations among comorbidities and patient-reported symptoms, functional limitations, and patient-rated health. Patient-rated health measures included the EuroQol-5 dimension (EQ-5D) questionnaire and the EuroQol visual analogue scale (EQ-VAS). EQ-VAS score ranges from 0 (worst health) to 100 (best health). Patient-rated health declined progressively from patients with no comorbidities (mean EQVAS score, 66) to patients with cardiovascular comorbidities (mean EQ-VAS score, 62) to patients with non-cardiovascular comorbidities (mean EQ-VAS score, 59). The relationships among cardiovascular comorbidities and patient-rated health were explained by their associations with anxiety or depression (atrial fibrillation, odds ratio [OR] 1.16, 95% CI 1.06 to 1.27; ischemic heart disease [IHD], OR 1.20, 95% CI 1.09 to 1.32) and with pain (IHD, OR 1.25, 95% CI 1.14 to 1.38). Associations of non-cardiovascular comorbidities with patient-rated health were explained by their associations with shortness of breath (diabetes, OR 1.17, 95% CI 1.03 to 1.32; chronic kidney disease [CKD, OR 1.23, 95% CI 1.10 to 1.38; chronic obstructive pulmonary disease [COPD], OR 95% CI 1.84, 1.62 to 2.10) and with fatigue (diabetes, OR 1.27, 95% CI 1.13 to 1.42; CKD, OR 1.24, 95% CI 1.12 to 1.38; COPD, OR 1.69, 95% CI 1.50 to 1.91). There were direct associations between all symptoms and patient-rated health, and indirect associations via functional limitations. Anxiety or depression had the strongest association with functional limitations (OR 10.03, 95% CI 5.16 to 19.50) and patient-rated health (mean difference in EQ-VAS score, -18.68, 95% CI -23.22 to -14.14). HF optimizing therapies did not influence these associations. Key limitations of the study include the cross-sectional design and unclear generalisability to other populations. Further prospective HF studies are required to test the consistency of the relationships and their implications for health.amp; para;amp; para;Conclusions amp; para;amp; para;Identification of distinct comorbidity health pathways in HF could provide the evidence for individualised person-centred care that targets specific comorbidities and associated symptoms.
|
|
| 8. |
|
|
