Endoscopic Saphenous harvesting with an Open CO2 System (ESOS) trial for coronary artery bypass grafting surgery: study protocol for a randomized controlled trial

<p>Abstract</p> <p>Background</p> <p>In coronary artery bypass grafting surgery, arterial conduits are preferred because of more favourable long-term patency and outcome. Anyway <it>the greater saphenous vein </it>continues to be the most commonly used bypass conduit. <it>Minimally invasive endoscopic saphenous vein harvesting </it>is increasingly being investigated in order to reduce the morbidity associated with conventional open vein harvesting, includes postoperative leg wound complications, pain and patient satisfaction. However, to date the short and the long-term benefits of the endoscopic technique remain controversial. This study provides an interesting opportunity to address this gap in the literature.</p> <p>Methods/Design</p> <p><b>Endoscopic Saphenous harvesting with an Open CO₂System </b>trial includes two parallel vein harvesting arms in coronary artery bypass grafting surgery. It is an interventional, single centre, prospective, randomized, safety/efficacy, cost/effectiveness study, in adult patients with elective planned and first isolated coronary artery disease. A simple size of 100 patients for each arm will be required to achieve 80% statistical power, with a significant level of 0.05, for detecting most of the formulated hypotheses. A six-weeks leg wound complications rate was assumed to be 20% in the conventional arm and less of 4% in the endoscopic arm. Previously quoted studies suggest a first-year vein-graft failure rate of about 20% with an annual occlusion rate of 1% to 2% in the first six years, with practically no difference between the endoscopic and conventional approaches. Similarly, the results on event-free survival rates for the two arms have barely a 2-3% gap. Assuming a 10% drop-out rate and a 5% cross-over rate, the goal is to enrol 230 patients from a single Italian cardiac surgery centre.</p> <p>Discussion</p> <p>The goal of this prospective randomized trial is to compare and to test improvement in wound healing, quality of life, safety/efficacy, cost-effectiveness, short and long-term outcomes and vein-graft patency after endoscopic open CO₂harvesting system versus conventional vein harvesting.</p> <p>The expected results are of high clinical relevance and will show the safety/efficacy or non-inferiority of one treatment approach in terms of vein harvesting for coronary artery bypass grafting surgery.</p> <p>Trial registration</p> <p>www.clinicalTrials.gov <a href="http://www.clinicaltrials.gov/ct2/show/NCT01121341">NCT01121341</a>.</p

A predictive model for early mortality after surgical treatment of heart valve or prosthesis infective endocarditis. The EndoSCORE

BACKGROUND: The aim of this large retrospective study was to provide a logistic risk model along an additive score to predict early mortality after surgical treatment of patients with heart valve or prosthesis infective endocarditis (IE). METHODS: From 2000 to 2015, 2715 patients with native valve endocarditis (NVE) or prosthesis valve endocarditis (PVE) were operated on in 26 Italian Cardiac Surgery Centers. The relationship between early mortality and covariates was evaluated with logistic mixed effect models. Fixed effects are parameters associated with the entire population or with certain repeatable levels of experimental factors, while random effects are associated with individual experimental units (centers). RESULTS: Early mortality was 11.0% (298/2715); At mixed effect logistic regression the following variables were found associated with early mortality: age class, female gender, LVEF, preoperative shock, COPD, creatinine value above 2mg/dl, presence of abscess, number of treated valve/prosthesis (with respect to one treated valve/prosthesis) and the isolation of Staphylococcus aureus, Fungus spp., Pseudomonas Aeruginosa and other micro-organisms, while Streptococcus spp., Enterococcus spp. and other Staphylococci did not affect early mortality, as well as no micro-organisms isolation. LVEF was found linearly associated with outcomes while non-linear association between mortality and age was tested and the best model was found with a categorization into four classes (AUC=0.851). CONCLUSIONS: The following study provides a logistic risk model to predict early mortality in patients with heart valve or prosthesis infective endocarditis undergoing surgical treatment, called "The EndoSCORE"

Surgery for prosthetic valve endocarditis a retrospective study of a national registry

OBJECTIVES: We described clinical-epidemiological features of prosthetic valve endocarditis (PVE) and assessed the determinants of early surgical outcomes in multicentre design. METHODS: Data regarding 2823 patients undergoing surgery for endocarditis at 19 Italian Centers between 1979 and 2015 were collected in a database. Of them, 582 had PVE: in this group, the determinants of early mortality and complications were assessed, also taking into account the different chronological eras encompassed by the study. RESULTS: Overall hospital (30-day) mortality was 19.2% (112 patients). Postoperative complications of any type occurred in 256 patients (44%). Across 3 eras (1980-2000, 2001-08 and 2009-14), early mortality did not significantly change (20.4%, 17.1%, 20.5%, respectively, P  = 0.60), whereas complication rate increased (18.5%, 38.2%, 52.8%, P  -2 mg/dl, chronic pulmonary disease, low ejection fraction, non-streptococcal aetiology, active endocarditis, preoperative intubation, preoperative shock and triple valve surgery were significantly associated with mortality. In multivariable analysis, age (OR = 1.02; P  = 0.03), renal insufficiency (OR = 2.1; P  = 0.05), triple valve surgery (OR = 6.9; P  = 0.004) and shock (OR = 4.5; P  < 0.001) were independently associated with mortality, while streptococcal aetiology, healed endocarditis and ejection fraction with survival. Adjusting for study era, preoperative shock (OR = 3; P  < 0.001), Enterococcus (OR = 2.3; P  = 0.01) and female sex (OR = 1.5; P  = 0.03) independently predicted complications, whereas ejection fraction was protective. CONCLUSIONS: PVE surgery remains a high-risk one. The strongest predictors of early outcome of PVE surgery are related to patient's haemodynamic status and microbiological factors

Surgery for prosthetic valve endocarditis: a retrospective study of a national registry\u2020

We described clinical-epidemiological features of prosthetic valve endocarditis (PVE) and assessed the determinants of early surgical outcomes in multicentre design

A predictive model for early mortality after surgical treatment of heart valve or prosthesis infective endocarditis. The EndoSCORE

Background The aim of this large retrospective study was to provide a logistic risk model along an additive score to predict early mortality after surgical treatment of patients with heart valve or prosthesis infective endocarditis (IE). Methods From 2000 to 2015, 2715 patients with native valve endocarditis (NVE) or prosthesis valve endocarditis (PVE) were operated on in 26 Italian Cardiac Surgery Centers. The relationship between early mortality and covariates was evaluated with logistic mixed effect models. Fixed effects are parameters associated with the entire population or with certain repeatable levels of experimental factors, while random effects are associated with individual experimental units (centers). Results Early mortality was 11.0% (298/2715); At mixed effect logistic regression the following variables were found associated with early mortality: age class, female gender, LVEF, preoperative shock, COPD, creatinine value above 2\ua0mg/dl, presence of abscess, number of treated valve/prosthesis (with respect to one treated valve/prosthesis) and the isolation of Staphylococcus aureus, Fungus spp., Pseudomonas Aeruginosa and other micro-organisms, while Streptococcus spp., Enterococcus spp. and other Staphylococci did not affect early mortality, as well as no micro-organisms isolation. LVEF was found linearly associated with outcomes while non-linear association between mortality and age was tested and the best model was found with a categorization into four classes (AUC\ua0=\ua00.851). Conclusions The following study provides a logistic risk model to predict early mortality in patients with heart valve or prosthesis infective endocarditis undergoing surgical treatment, called \u201cThe EndoSCORE\u201d

Corrigendum to \u201cA predictive model for early mortality after surgical treatment of heart valve or prosthesis infective endocarditis. The EndoSCORE\u201d. [Int. J. Cardiol. 241 (Aug 15 2017) 97\u2013102](S0167527317309877)(10.1016/j.ijcard.2017.03.148)

The authors regret that the first name and last name of the author Sandro Sponga was published incorrectly in the original version and this has now been corrected