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| Name | Class |
|---|---|
| Sanofi | INDUSTRY |
| Axtria, Inc. | UNKNOWN |
| Hospital Universitario La Paz | OTHER |
| Hippocrates Research |
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The goal of this clinical trial is to compare implementation of a Decision Support System (DSS) - aligned to the 2019 ESC/EAS Guidelines - in addition to routine clinical care versus routine clinical care without availability of a DSS, in participants aged ≥18 to < 80 years old presenting with Acute Coronary Syndrome (ACS).
The main questions it aims to answer are:
Participants will give consent to randomised clinical sites to collect their data. The clinical sites will either be randomised to standard of care or the availability of and access to the DSS.
Researchers will compare patients from DSS and Non-DSS sites to see if the availability of the DSS results in implementation of more intensive lipid lowering regimens, resulting in the achievement of lower LDL-C values as well as the proportion of patients who reach target LDL-C levels (<1.4 mmol/L (<55 mg/dL) by Week 16.
Patients with acute coronary syndromes (ACS) including myocardial infarction (MI) remain at risk of future cardiovascular events depending upon the interaction between inherited genetic factors/ and environmental factors including cholesterol over their lifetime. Expert guidelines on secondary prevention such as the ESC therefore increasingly recognise a more individualised approach.
Lowering LDL-C with high intensity lipid lowering therapies (LLTs) initiated within 10 days of an ACS reduces risk more than less intense regimens. In the SWEDEHEART registry which included 40,6007 patients over a median follow up of 3.78 years, patients who achieved the largest absolute reductions in LDL-C or greatest percentage reduction in LDL-C, had the lowest risk of a range of cardiovascular events and mortality. The approach to use of lipid lowering (LLT) was statin based monotherapy with few attaining the recommended cholesterol goals.
The 2019 European Society of Cardiology (ESC) and European Atherosclerosis Society (EAS) dyslipidaemia guidelines categorise patients with an ACS event as very-high risk and recommend an LDL-C goal of < 1.4 mmol/L (<55 mg/dL) and >50% reduction in LDL-C in this population. But several studies in European populations have highlighted gaps between clinical practice/ implementation of treatment recommendations compared with evidence based guideline recommendations. In the DA VINCI study representing 5,888 patients prescribed LLT in 18 European countries, LDL-C goal achievement in very-high risk populations was just 39% per 2016 ESC/EAS guidelines of<1.8mmol/L with only about 18% achieving the new recommended lower goal of <1.4mmol/L. It has become clear that greater implementation/ use of available combination therapies will be needed if lower recommended goals are to be achieved. It is unclear what the barriers are to earlier implementation and may include a lack of physician understanding of risk of further CV events or a lack of understanding of the quantifiable benefits from specific magnitudes of LDL-C lowering.
The aim of this trial is to assess whether providing information to those managing ACS patients that quantify absolute risk and the absolute benefit from different lipid lowering regimens through access to a Decision Support Tool (DSS) system is more likely to result in earlier intensification of lipid lowering regimens and thus result in a greater proportion of patients achieving the ESC lipid lowering goals after ACS compared to patients being managed routinely without access to a DSS standard (cluster RCT design). It is well established that unless treatments are initiated through secondary care or as part of acute care pathways, there is considerable inertia in further optimisation of treatment in primary care. Thus, this trial will assess whether presenting quantifiable data on risks and benefits results in behaviour change among secondary care physicians and improves cholesterol management within 4 months of an ACS.
The DSS is available online or remotely accessible via a website intended for clinicians to estimate the clinical benefit of any LLT regimen, whether single or combination therapies. The DSS shows the expected risk, risk reductions and number needed to treat for the various treatments selected by the clinical user on the potential value of initiation of an add-on therapy for reducing the risk of other Cardiovascular (CV) events. This DSS provides a graphical and tabular representation of the time-dependent CV treatment benefit model for LLTs published in a peer-reviewed journal article.
The trial hypothesises that having a pictorial representation of both individual risk and recommended treatments will encourage clinicians to implement clinical guidelines more closely. The clinicians using the DSS will be asked to complete a DSS evaluation at the end of the trial. Implementing the patient-specific recommendation remains at the clinicians' discretion.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Decision Support System (DSS) | Other | Patients of this cohort are seen at a site randomised to the availability of the DSS. These patients will be provided routine clinical care including local/national prescribing guidelines during the course of the study. In addition to routine clinical care, the DSS which is available online, is a tool intended for clinicians to estimate the clinical benefit of any LLT regimen, whether monotherapy or combination therapies. |
|
| Non-Decision Support System (Non-DSS) | No Intervention | Patients of this cohort are seen at a site randomised to no availability of a DSS (Non-DSS). These patients will be provided routine clinical care including local / national prescribing guidelines during the course of the study. |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Decision Support System (DSS) | Device | This DSS will provide estimates of potential benefits in terms of ASCVD risk reduction (composite endpoint: combined non-fatal myocardial infarction, non-fatal ischaemic stroke and cardiovascular death) as a function of treatment duration and magnitude of LDL-C lowering. The DSS does not recommend treatments but shows the expected ASCVD risk, absolute and relative ASCDV risk reductions and number needed to treat for the various treatments selected by the clinical user on the potential value of initiation of an add-on therapy for reducing the risk of recurrent Cardiovascular (CV) events. Implementing the patient-specific recommendation remains at the clinicians' discretion. |
| Measure | Description | Time Frame |
|---|---|---|
| Optimisation of the Intensity of Lipid Lowering Therapy Within 16 Weeks of Index ACS | Proportion of patients treated with combination therapy, or who receive escalated monotherapy, or escalated combination therapy, within 16 weeks of the index ACS. | 16 weeks |
| Measure | Description | Time Frame |
|---|---|---|
| Timing of Initiation | Timing of initiation of combination therapy or escalation of Lipid lowering therapy in those who met the primary endpoint. | 16 weeks |
| LDL-C Level | LDL-C by Week 16 |
Not provided
Inclusion criteria:
Sites:
Manage ACS patients as defined by: Symptoms of myocardial ischemia with an unstable pattern, occurring at rest or with minimal exertion, within 72 hours of an unscheduled hospital admission due to presumed or proven obstructive coronary disease and at least one of the following:
Mange post ACS follow up care of patients including risk factor control
Ability to provide follow up information on patient care for a minimum of 16 weeks including blood tests
Willing/ able to access and undertake training for the DSS
Adequate internet connection at site and the ability to access the DSS
No restrictions on use of LLTs (within national guidelines/ reimbursement)
Ability to include all essential parameters and patient information for DSS input
Participants:
Exclusion criteria:
Sites:
Participants:
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| Name | Affiliation | Role |
|---|---|---|
| Kausik Ray, Professor | Imperial College London | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| AUSL di Bologna-Ospedale Maggiore | Bologna | 40133 | Italy | |||
| Azienda Ospedaliera di Rilievo Nazionale (A.O.R.N.) "Sant'Anna e San Sebastiano" di Caserta |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 33367526 | Background | Schubert J, Lindahl B, Melhus H, Renlund H, Leosdottir M, Yari A, Ueda P, James S, Reading SR, Dluzniewski PJ, Hamer AW, Jernberg T, Hagstrom E. Low-density lipoprotein cholesterol reduction and statin intensity in myocardial infarction patients and major adverse outcomes: a Swedish nationwide cohort study. Eur Heart J. 2021 Jan 20;42(3):243-252. doi: 10.1093/eurheartj/ehaa1011. | |
| 30165516 |
| Label | URL |
|---|---|
| Framework to aid in the creation of apps across multiple platforms including iOS, Android and Windows. | View source |
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| ID | Title | Description |
|---|---|---|
| FG000 | Decision Support System (DSS) | Patients of this cohort are seen at a site randomised to the availability of the DSS. These patients will be provided routine clinical care including local/national prescribing guidelines during the course of the study. In addition to routine clinical care, the DSS which is available online, is a tool intended for clinicians to estimate the clinical benefit of any LLT regimen, whether monotherapy or combination therapies. Decision Support System (DSS): This DSS will provide estimates of potential benefits in terms of ASCVD risk reduction (composite endpoint: combined non-fatal myocardial infarction, non-fatal ischaemic stroke and cardiovascular death) as a function of treatment duration and magnitude of LDL-C lowering. The DSS does not recommend treatments but shows the expected ASCVD risk, absolute and relative ASCDV risk reductions and number needed to treat for the various treatments selected by the clinical user on the potential value of initiation of an add-on therapy for reducing the risk of recurrent Cardiovascular (CV) events. Implementing the patient-specific recommendation remains at the clinicians' discretion. |
| Title | Milestones | Reasons Not Completed | |||||
|---|---|---|---|---|---|---|---|
| Overall Study |
|
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot | Yes | No | No | Study Protocol: Protocol part 1 | Jan 17, 2024 |
Not provided
| OTHER |
Cluster randomised controlled trial. Study sites are randomised to intervention or no intervention.
Not provided
Not provided
The patient will be notified at the end of the study in regard to allocation.
|
| 16 weeks |
| Target LDL-C Reduction | Proportion of patients reaching target LDL-C level (<1.4 mmol/L (<55 mg/dL) by Week 16 | 16 weeks |
| Caserta |
| 81100 |
| Italy |
| A.O.U. Ospedali Riuniti U.O.C. Cardiologia e UTIC | Foggia | 71122 | Italy |
| IRCCS. A.O.U. Policlinico San Martino IST | Genova | 16132 | Italy |
| Azienda Ospedaliera Universitaria Gaetano Martino | Messina | 98125 | Italy |
| IRCCS Policlinico San Donato | Milan | 20097 | Italy |
| A.O.U Policlinico di Modena S.C. di Cardiologia | Modena | 41124 | Italy |
| Ospedale di Cisanello - A.U.O.P. Azienda Ospedaliera Universitaria | Pisa | 56124 | Italy |
| AUSL-IRCCS di Reggio Emilia | Reggio Emilia | 42121 | Italy |
| Ospedale Sandro Pertini - ASL Roma 2 | Roma | 00157 | Italy |
| Azienda Ospedaliero Universitaria Santa Maria della Misericordia | Udine | 33100 | Italy |
| Hospital Clínico Universitario Santiago de Compostela | Santiago de Compostela | A Coruña | 15706 | Spain |
| University Hospital of A Coruña | A Coruña | Coruña | 15006 | Spain |
| Hospital HM Montepríncipe | Boadilla del Monte | Madrid | 28660 | Spain |
| Hospital Universitario Rey Juan Carlos | Móstoles | Madrid | 28933 | Spain |
| Hospital Clínico Universitario Virgen de la Arrixaca | El Palmar | Murcia | 30120 | Spain |
| Hospital de la Santa Creu i Sant Pau | Barcelona | 08025 | Spain |
| Vall d'Hebron University Hospital | Barcelona | 08035 | Spain |
| Hospital Universitario Reina Sofia | Córdoba | 14004 | Spain |
| Hospital Universitario La Luz Quiron | Madrid | 28003 | Spain |
| Gregorio Marañón General University Hospital | Madrid | 28007 | Spain |
| Hospital Universitario Fundación Jiménez Díaz | Madrid | 28040 | Spain |
| Hospital Universitario La Paz | Madrid | 28046 | Spain |
| Puerta de Hierro Majadahonda University Hospital | Madrid | 28222 | Spain |
| Hospital Universitario Virgen Macarena | Seville | 41009 | Spain |
| Luton and Dunstable University Hospital | Luton | Bedfordshire | LU4 0DZ | United Kingdom |
| Glan Glwyd Hospital | Bodelwyddan | Denbighshire | LL18 5UJ | United Kingdom |
| Royal Bournemouth Hospital | Bournemouth | Dorset | BH7 7DW | United Kingdom |
| Conquest Hospital | Brighton | East Sussex | TN37 7PT | United Kingdom |
| Scunthorpe General Hospital | Scunthorpe | North Lincolnshire | DN15 7BH | United Kingdom |
| Kettering General Hospital | Kettering | Northamptonshire | NN16 8UZ | United Kingdom |
| Southern Health and Social Care Trust, Craigavon Area Hospital | Portadown | Northen Ireland | BT63 5QQ | United Kingdom |
| Royal United Hospital | Bath | Somerset | BA1 3NG | United Kingdom |
| Freeman Hospital | Newcastle upon Tyne | Tyne and Wear | NE7 7DN | United Kingdom |
| North Tyneside General Hospital | North Shields | Tyne and Wear | NE29 8NH | United Kingdom |
| Sunderland Royal Hospital | Sunderland | Tyne and Wear | SR4 7TP | United Kingdom |
| Sandwell General Hospital | Birmingham | West Midlands | B71 4HJ | United Kingdom |
| Russell's Hall Hospital | Dudley | West Midlands | DY12HQ | United Kingdom |
| Worthing Hospital | Worthing | West Sussex | BN11 2DH | United Kingdom |
| Calderdale Royal Hospital | Halifax | West Yorkshire | HX3 0PW | United Kingdom |
| Worcestershire Royal Hospital | Worcester | Worcestershire | WR5 1DD | United Kingdom |
| Hammersmith Hospital | London | W2 1NY | United Kingdom |
| Background |
| Williams B, Mancia G, Spiering W, Agabiti Rosei E, Azizi M, Burnier M, Clement DL, Coca A, de Simone G, Dominiczak A, Kahan T, Mahfoud F, Redon J, Ruilope L, Zanchetti A, Kerins M, Kjeldsen SE, Kreutz R, Laurent S, Lip GYH, McManus R, Narkiewicz K, Ruschitzka F, Schmieder RE, Shlyakhto E, Tsioufis C, Aboyans V, Desormais I; ESC Scientific Document Group. 2018 ESC/ESH Guidelines for the management of arterial hypertension. Eur Heart J. 2018 Sep 1;39(33):3021-3104. doi: 10.1093/eurheartj/ehy339. No abstract available. |
| 31504418 | Background | Mach F, Baigent C, Catapano AL, Koskinas KC, Casula M, Badimon L, Chapman MJ, De Backer GG, Delgado V, Ference BA, Graham IM, Halliday A, Landmesser U, Mihaylova B, Pedersen TR, Riccardi G, Richter DJ, Sabatine MS, Taskinen MR, Tokgozoglu L, Wiklund O; ESC Scientific Document Group. 2019 ESC/EAS Guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk. Eur Heart J. 2020 Jan 1;41(1):111-188. doi: 10.1093/eurheartj/ehz455. No abstract available. |
| 28231942 | Background | Bohula EA, Morrow DA, Giugliano RP, Blazing MA, He P, Park JG, Murphy SA, White JA, Kesaniemi YA, Pedersen TR, Brady AJ, Mitchel Y, Cannon CP, Braunwald E. Atherothrombotic Risk Stratification and Ezetimibe for Secondary Prevention. J Am Coll Cardiol. 2017 Feb 28;69(8):911-921. doi: 10.1016/j.jacc.2016.11.070. |
| 28444290 | Background | Ference BA, Ginsberg HN, Graham I, Ray KK, Packard CJ, Bruckert E, Hegele RA, Krauss RM, Raal FJ, Schunkert H, Watts GF, Boren J, Fazio S, Horton JD, Masana L, Nicholls SJ, Nordestgaard BG, van de Sluis B, Taskinen MR, Tokgozoglu L, Landmesser U, Laufs U, Wiklund O, Stock JK, Chapman MJ, Catapano AL. Low-density lipoproteins cause atherosclerotic cardiovascular disease. 1. Evidence from genetic, epidemiologic, and clinical studies. A consensus statement from the European Atherosclerosis Society Consensus Panel. Eur Heart J. 2017 Aug 21;38(32):2459-2472. doi: 10.1093/eurheartj/ehx144. |
| 32720582 | Background | Khan I, Peterson ED, Cannon CP, Sedita LE, Edelberg JM, Ray KK. Time-Dependent Cardiovascular Treatment Benefit Model for Lipid-Lowering Therapies. J Am Heart Assoc. 2020 Aug 4;9(15):e016506. doi: 10.1161/JAHA.120.016506. Epub 2020 Jul 28. |
| 34636884 | Background | Ray KK, Reeskamp LF, Laufs U, Banach M, Mach F, Tokgozoglu LS, Connolly DL, Gerrits AJ, Stroes ESG, Masana L, Kastelein JJP. Combination lipid-lowering therapy as first-line strategy in very high-risk patients. Eur Heart J. 2022 Feb 22;43(8):830-833. doi: 10.1093/eurheartj/ehab718. No abstract available. |
| 33580789 | Background | Ray KK, Molemans B, Schoonen WM, Giovas P, Bray S, Kiru G, Murphy J, Banach M, De Servi S, Gaita D, Gouni-Berthold I, Hovingh GK, Jozwiak JJ, Jukema JW, Kiss RG, Kownator S, Iversen HK, Maher V, Masana L, Parkhomenko A, Peeters A, Clifford P, Raslova K, Siostrzonek P, Romeo S, Tousoulis D, Vlachopoulos C, Vrablik M, Catapano AL, Poulter NR; DA VINCI study. EU-Wide Cross-Sectional Observational Study of Lipid-Modifying Therapy Use in Secondary and Primary Care: the DA VINCI study. Eur J Prev Cardiol. 2021 Sep 20;28(11):1279-1289. doi: 10.1093/eurjpc/zwaa047. |
| 28213597 | Background | Steen DL, Khan I, Ansell D, Sanchez RJ, Ray KK. Retrospective examination of lipid-lowering treatment patterns in a real-world high-risk cohort in the UK in 2014: comparison with the National Institute for Health and Care Excellence (NICE) 2014 lipid modification guidelines. BMJ Open. 2017 Feb 17;7(2):e013255. doi: 10.1136/bmjopen-2016-013255. |
| 30126705 | Background | Ferrieres J, Gorcyca K, Iorga SR, Ansell D, Steen DL. Lipid-lowering Therapy and Goal Achievement in High-risk Patients From French General Practice. Clin Ther. 2018 Sep;40(9):1484-1495.e22. doi: 10.1016/j.clinthera.2018.07.008. Epub 2018 Aug 18. |
| 29499359 | Background | Arca M, Ansell D, Averna M, Fanelli F, Gorcyca K, Iorga SR, Maggioni AP, Paizis G, Tomic R, Catapano AL. Statin utilization and lipid goal attainment in high or very-high cardiovascular risk patients: Insights from Italian general practice. Atherosclerosis. 2018 Apr;271:120-127. doi: 10.1016/j.atherosclerosis.2018.02.024. Epub 2018 Feb 17. |
| 33580772 | Background | Blaum C, Seiffert M, Gossling A, Kroger F, Bay B, Lorenz T, Braetz J, Graef A, Zeller T, Schnabel R, Clemmensen P, Westermann D, Blankenberg S, Brunner FJ, Waldeyer C. The need for PCSK9 inhibitors and associated treatment costs according to the 2019 ESC dyslipidaemia guidelines vs. the risk-based allocation algorithm of the 2017 ESC consensus statement: a simulation study in a contemporary CAD cohort. Eur J Prev Cardiol. 2021 Mar 23;28(1):47-56. doi: 10.1093/eurjpc/zwaa088. |
| 29197254 | Background | Marz W, Dippel FW, Theobald K, Gorcyca K, Iorga SR, Ansell D. Utilization of lipid-modifying therapy and low-density lipoprotein cholesterol goal attainment in patients at high and very-high cardiovascular risk: Real-world evidence from Germany. Atherosclerosis. 2018 Jan;268:99-107. doi: 10.1016/j.atherosclerosis.2017.11.020. Epub 2017 Nov 20. |
| 28347514 | Background | Kuiper JG, Sanchez RJ, Houben E, Heintjes EM, Penning-van Beest FJA, Khan I, van Riemsdijk M, Herings RMC. Use of Lipid-modifying Therapy and LDL-C Goal Attainment in a High-Cardiovascular-Risk Population in the Netherlands. Clin Ther. 2017 Apr;39(4):819-827.e1. doi: 10.1016/j.clinthera.2017.03.001. Epub 2017 Mar 27. |
| 33755142 | Background | Koskinas KC, Gencer B, Nanchen D, Branca M, Carballo D, Klingenberg R, Blum MR, Carballo S, Muller O, Matter CM, Luscher TF, Rodondi N, Heg D, Wilhelm M, Raber L, Mach F, Windecker S. Eligibility for PCSK9 inhibitors based on the 2019 ESC/EAS and 2018 ACC/AHA guidelines. Eur J Prev Cardiol. 2021 Mar 23;28(1):59-65. doi: 10.1177/2047487320940102. Epub 2020 Jul 20. |
| 32072178 | Background | Allahyari A, Jernberg T, Hagstrom E, Leosdottir M, Lundman P, Ueda P. Application of the 2019 ESC/EAS dyslipidaemia guidelines to nationwide data of patients with a recent myocardial infarction: a simulation study. Eur Heart J. 2020 Oct 21;41(40):3900-3909. doi: 10.1093/eurheartj/ehaa034. |
| 30920930 | Background | Mancia G, Rea F, Corrao G, Grassi G. Two-Drug Combinations as First-Step Antihypertensive Treatment. Circ Res. 2019 Mar 29;124(7):1113-1123. doi: 10.1161/CIRCRESAHA.118.313294. |
| 23574971 | Background | Dorresteijn JA, Visseren FL, Wassink AM, Gondrie MJ, Steyerberg EW, Ridker PM, Cook NR, van der Graaf Y; SMART Study Group. Development and validation of a prediction rule for recurrent vascular events based on a cohort study of patients with arterial disease: the SMART risk score. Heart. 2013 Jun;99(12):866-72. doi: 10.1136/heartjnl-2013-303640. Epub 2013 Apr 10. |
| 34160035 | Background | McKay AJ, Gunn LH, Ference BA, Dorresteijn JAN, Berkelmans GFN, Visseren FLJ, Ray KK. Is the SMART risk prediction model ready for real-world implementation? A validation study in a routine care setting of approximately 380 000 individuals. Eur J Prev Cardiol. 2022 Mar 30;29(4):654-663. doi: 10.1093/eurjpc/zwab093. |
| 25766887 | Background | Gao F, Earnest A, Matchar DB, Campbell MJ, Machin D. Sample size calculations for the design of cluster randomized trials: A summary of methodology. Contemp Clin Trials. 2015 May;42:41-50. doi: 10.1016/j.cct.2015.02.011. Epub 2015 Mar 9. |
| 22951546 | Background | Campbell MK, Piaggio G, Elbourne DR, Altman DG; CONSORT Group. Consort 2010 statement: extension to cluster randomised trials. BMJ. 2012 Sep 4;345:e5661. doi: 10.1136/bmj.e5661. No abstract available. |
| 10946431 | Background | Bellamy SL, Gibberd R, Hancock L, Howley P, Kennedy B, Klar N, Lipsitz S, Ryan L. Analysis of dichotomous outcome data for community intervention studies. Stat Methods Med Res. 2000 Apr;9(2):135-59. doi: 10.1177/096228020000900205. |
| 17136746 | Background | Campbell MJ, Donner A, Klar N. Developments in cluster randomized trials and Statistics in Medicine. Stat Med. 2007 Jan 15;26(1):2-19. doi: 10.1002/sim.2731. |
| 35012627 | Background | Parker RA, Weir CJ. Multiple secondary outcome analyses: precise interpretation is important. Trials. 2022 Jan 10;23(1):27. doi: 10.1186/s13063-021-05975-2. |
| 28768335 | Background | Cannon CP, Khan I, Klimchak AC, Reynolds MR, Sanchez RJ, Sasiela WJ. Simulation of Lipid-Lowering Therapy Intensification in a Population With Atherosclerotic Cardiovascular Disease. JAMA Cardiol. 2017 Sep 1;2(9):959-966. doi: 10.1001/jamacardio.2017.2289. |
| Background | Rubin, M. When to adjust alpha during multiple testing: a consideration of disjunction, conjunction, and individual testing. Synthese 199, 10969-11000 (2021). |
| Background | Ritz J, Spiegelman D. Equivalence of conditional and marginal regression models for clustered and longitudinal data. Statistical Methods in Medical Research. 2004;13(4):309-323. doi:10.1191/0962280204sm368ra |
| Angular is a development platform, built on TypeScript. This link can help you understand Angular: what Angular is, what advantages it provides, and what you might expect as you start to build applications | View source |
| Empirical estimates of ICCs from changing professional practice studies. (Very small ICCs rounded to 0.0001; Negative ICCs truncated at zero; n/a = not applicable). | View source |
| FG001 | Non-Decision Support System (Non-DSS) | Patients of this cohort are seen at a site randomised to no availability of a DSS (Non-DSS). These patients will be provided routine clinical care including local / national prescribing guidelines during the course of the study. |
| COMPLETED |
|
| NOT COMPLETED |
|
Not provided
| ID | Title | Description |
|---|---|---|
| BG000 | Decision Support System (DSS) | Patients of this cohort are seen at a site randomised to the availability of the DSS. These patients will be provided routine clinical care including local/national prescribing guidelines during the course of the study. In addition to routine clinical care, the DSS which is available online, is a tool intended for clinicians to estimate the clinical benefit of any LLT regimen, whether monotherapy or combination therapies. Decision Support System (DSS): This DSS will provide estimates of potential benefits in terms of ASCVD risk reduction (composite endpoint: combined non-fatal myocardial infarction, non-fatal ischaemic stroke and cardiovascular death) as a function of treatment duration and magnitude of LDL-C lowering. The DSS does not recommend treatments but shows the expected ASCVD risk, absolute and relative ASCDV risk reductions and number needed to treat for the various treatments selected by the clinical user on the potential value of initiation of an add-on therapy for reducing the risk of recurrent Cardiovascular (CV) events. Implementing the patient-specific recommendation remains at the clinicians' discretion. |
| BG001 | Non-Decision Support System (Non-DSS) | Patients of this cohort are seen at a site randomised to no availability of a DSS (Non-DSS). These patients will be provided routine clinical care including local / national prescribing guidelines during the course of the study. |
| BG002 | Total | Total of all reporting groups |
| Units | Counts |
|---|---|
| Participants |
|
| Title | Description | Population Description | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Denominator Units Selected | Denominators | Classes | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Age, Continuous | Mean | Standard Deviation | Age in years |
| |||||||||||||||
| Sex: Female, Male | Count of Participants | Participants |
| ||||||||||||||||
| Race/Ethnicity, Customized | Count of Participants | Participants |
| ||||||||||||||||
| Region of Enrollment | Number | participants |
|
| Type | Title | Description | Population Description | Reporting Status | Anticipated Posting Date | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Time Frame | Units Analyzed | Denominator Units Selected | Arm/Group Information | Denominators | Classes | Analyses | ||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Primary | Optimisation of the Intensity of Lipid Lowering Therapy Within 16 Weeks of Index ACS | Proportion of patients treated with combination therapy, or who receive escalated monotherapy, or escalated combination therapy, within 16 weeks of the index ACS. | Posted | Count of Participants | Participants | 16 weeks |
|
|
| |||||||||||||||||||||||||||||||||||||
| Secondary | Timing of Initiation | Timing of initiation of combination therapy or escalation of Lipid lowering therapy in those who met the primary endpoint. | Planned analysis of the time to meet the primary endpoint was not performed because the majority of participants who met the primary outcome did so due to being prescribed combination therapy upon discharge. Escalation of treatment therefore occurred within a very short time frame (on the same day or within a few days of the index admission event). Formal time to event analysis was not considered meaningful. Instead we report here the timing of when participants met the primary endpoint. | Posted | Count of Participants | Participants | 16 weeks |
| ||||||||||||||||||||||||||||||||||||||
| Secondary | LDL-C Level | LDL-C by Week 16 | Participants included if they have a baseline test result and at least one post-baseline test result available after Week 4; latest result used in the analysis, regardless of whether before or after Week 16. | Posted | Mean | Standard Deviation | mg/dl | 16 weeks |
| |||||||||||||||||||||||||||||||||||||
| Secondary | Target LDL-C Reduction | Proportion of patients reaching target LDL-C level (<1.4 mmol/L (<55 mg/dL) by Week 16 | Participants included if they have a baseline test result and at least one post-baseline test result available after Week 4; latest result used in the analysis, regardless of whether before or after Week 16 | Posted | Count of Participants | Participants | 16 weeks |
|
19 months
Not provided
Not provided
| ID | Title | Description | Deaths (Affected) | Deaths (At Risk) | Serious Events (Affected) | Serious Events (At Risk) | Other Events (Affected) | Other Events (At Risk) |
|---|---|---|---|---|---|---|---|---|
| EG000 | Decision Support System (DSS) | Patients of this cohort are seen at a site randomised to the availability of the DSS. These patients will be provided routine clinical care including local/national prescribing guidelines during the course of the study. In addition to routine clinical care, the DSS which is available online, is a tool intended for clinicians to estimate the clinical benefit of any LLT regimen, whether monotherapy or combination therapies. Decision Support System (DSS): This DSS will provide estimates of potential benefits in terms of ASCVD risk reduction (composite endpoint: combined non-fatal myocardial infarction, non-fatal ischaemic stroke and cardiovascular death) as a function of treatment duration and magnitude of LDL-C lowering. The DSS does not recommend treatments but shows the expected ASCVD risk, absolute and relative ASCDV risk reductions and number needed to treat for the various treatments selected by the clinical user on the potential value of initiation of an add-on therapy for reducing the risk of recurrent Cardiovascular (CV) events. Implementing the patient-specific recommendation remains at the clinicians' discretion. | 0 | 523 | 0 | 523 | 0 | 523 |
| EG001 | Non-Decision Support System (Non-DSS) | Patients of this cohort are seen at a site randomised to no availability of a DSS (Non-DSS). These patients will be provided routine clinical care including local / national prescribing guidelines during the course of the study. | 0 | 616 | 0 | 616 | 0 | 616 |
Not provided
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| Title | Organization | Phone | Extension | |
|---|---|---|---|---|
| Prof. Kausik K Ray | Imperial College London | +44 7960 181 754 | k.ray@imperial.ac.uk |
| Dec 11, 2025 |
| Prot_000.pdf |
| Prot | Yes | No | No | Study Protocol: Protocol part 2 | Jan 17, 2024 | Dec 11, 2025 | Prot_001.pdf |
| Prot | Yes | No | No | Study Protocol: Protocol part 3 | Jan 17, 2024 | Dec 11, 2025 | Prot_002.pdf |
| Prot | Yes | No | No | Study Protocol: Protocol part 4 | Jan 17, 2024 | Dec 11, 2025 | Prot_003.pdf |
| Prot | Yes | No | No | Study Protocol: Protocol part 5 | Jan 17, 2024 | Dec 11, 2025 | Prot_004.pdf |
| SAP | No | Yes | No | Statistical Analysis Plan | Jan 17, 2024 | Dec 10, 2025 | SAP_005.pdf |
| ID | Term |
|---|---|
| D054058 | Acute Coronary Syndrome |
| D009203 | Myocardial Infarction |
| D000072657 | ST Elevation Myocardial Infarction |
| D000072658 | Non-ST Elevated Myocardial Infarction |
| D003327 | Coronary Disease |
| ID | Term |
|---|---|
| D017202 | Myocardial Ischemia |
| D006331 | Heart Diseases |
| D002318 | Cardiovascular Diseases |
| D014652 | Vascular Diseases |
| D007238 | Infarction |
| D007511 | Ischemia |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D009336 | Necrosis |
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| Male |
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| Black |
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| Mixed race |
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| Asian |
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| North African |
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| Other |
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| Italy |
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| Spain |
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| Missing |
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| OG001 | Non-Decision Support System (Non-DSS) | Patients of this cohort are seen at a site randomised to no availability of a DSS (Non-DSS). These patients will be provided routine clinical care including local / national prescribing guidelines during the course of the study. |
|
|
Patients of this cohort are seen at a site randomised to no availability of a DSS (Non-DSS). These patients will be provided routine clinical care including local / national prescribing guidelines during the course of the study. |
|
|
| Non-Decision Support System (Non-DSS) |
Patients of this cohort are seen at a site randomised to no availability of a DSS (Non-DSS). These patients will be provided routine clinical care including local / national prescribing guidelines during the course of the study. |
|
|