Coronary artery bypass grafting in high-RISk patients randomised to off- or on-Pump surgery: a randomised controlled trial (the CRISP trial)
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Résumé
BACKGROUND: Coronary artery bypass grafting (CABG) is the treatment of choice for patients with multivessel coronary artery disease (CAD). Evidence from randomised controlled trials (RCTs) in low-risk populations shows that 'off-pump' CABG is at least as safe as 'on-pump' CABG, but high-quality trial data in high-risk populations are lacking. OBJECTIVES: To test the hypothesis that, in high-risk patients, off-pump coronary artery bypass grafting (OPCABG) reduces mortality and morbidity without causing a higher risk of reintervention compared with on-pump coronary artery bypass grafting (ONCABG). DESIGN: Open parallel-group RCT with a 1 : 1 allocation ratio and expertise-based randomisation. SETTING: Eight specialist cardiac surgery centres in the UK and one specialist centre in Kolkata, India. PARTICIPANTS: Patients with an additive European system for cardiac operative risk evaluation score (EuroSCORE) of ≥ 5, undergoing non-emergency isolated CABG via a median sternotomy. INTERVENTIONS: CABG without cardiopulmonary bypass (CPB), i.e. OPCABG on the beating heart, or CABG with CPB, i.e. ONCABG on a chemically arrested heart. MAIN OUTCOME MEASURES: Primary outcome - a composite of death or serious morbidity [all-cause mortality, myocardial infarction (MI), stroke, prolonged initial ventilation, sternal wound dehiscence] within 30 days of surgery. Secondary outcomes - quality of life (QoL) [Rose Angina Questionnaire, Canadian Cardiovascular Society (CCS) angina class, European QoL-5 Dimensions (EQ-5D), Coronary Revascularisation Outcome Questionnaire (CROQ)] and resource utilisation. RESULTS: The organisation of a tertiary cardiac surgery service in the UK presented several barriers to recruitment. Referral information was often inadequate to confirm eligibility. Limited surgeon participation at a centre, the need to meet referral-to-treatment performance targets and complex referral pathways did not support an expertise-based allocation. Urgent patients waiting for surgery in local 'feeder' hospitals were often not transferred until late the night before surgery, which limited the time available to take consent and organise the surgery on an expertise basis. Several elective patients declined to take part because they wanted the surgeon they had met when the surgery was first discussed in clinic to operate. Several initiatives were explored to boost recruitment. After 10 months of recruitment, the trial design was modified to permit both within-surgeon and expertise-based randomisation within a centre. However, this did not have sufficient impact and the trial was stopped on the grounds of futility after 106 patients (< 2% of the target sample size) had been recruited in 18 months. Ninety-eight patients were included in the trial analyses, six patients were withdrawn and two died before surgery. In both groups, 6% of patients experienced the primary outcome [adjusted odds ratio (OR) (OPCABG to ONCABG) 1.07; 95% confidence interval (CI) 0.27 to 4.14]. QoL scores at 4-8 weeks post surgery were similar in the two groups. Patients randomised to OPCABG had a shorter stay in the intensive care unit and in hospital after surgery (median 26.0 vs. 27.7 hours in intensive care and 7 vs. 8 days in hospital). CONCLUSIONS: The Coronary artery bypass grafting in high-RISk patients randomised to off- or on-Pump surgery (CRISP) trial was not successful for a range of logistical reasons. However, the experience gained is of value for the design and conduct of future trials. The surgical community have polarised views. A qualitative evaluation of the reasons behind the views held by the advocates of the two techniques is an area for future research. TRIAL REGISTRATION: Current Controlled Trials ISRCTN29161170. FUNDING: This project was funded by the Medical Research Council/National Institute for Health Research (NIHR) Efficacy and Mechanism Evaluation programme and will be published in full in Health Technology Assessment; Vol. 18, No. 44. See the NIHR Journals Library website for further project information.
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Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,008 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,003 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle