Major infections after bypass surgery and stenting for multivessel coronary disease in the randomised SYNTAX trial

Impact of Post-Operative Infection after CABG on Long-Term Survival

Coronary artery bypass grafting (CABG) is one of the most common cardiac surgical procedures. It is commonly known that post-operative infection has a negative impact on the patient's short-term treatment outcomes and long-term prognosis. The aim of the present study was to assess the impact of perioperative infection on 5-year and 10-year survival in patients undergoing elective on-pump CABG surgery. The present prospective observational study was carried out between 1 July 2010 and 31 August 2012 among patients undergoing cardiac surgery at our centre. Infections were identified according to the ECDC definitions. We initially assessed the incidence of infection and its relationship with the parameters analysed. We then analysed the effect of particular parameters, including infection, on 5-year and 10-year survival after surgery. We also analysed the impact of particular types of infection on the risk of death within the period analysed. The significant risk factors for reduced survival were age (HR 1.05, CI 1.02-1.07), peripheral artery disease (HR 1.99, CI 1.28-3.10), reduced LVEF after surgery (HR 0.96, CI 0.94-0.99), post-operative myocardial infarction (HR 1.45, CI 1.05-2.02) and infection (HR 3.10, CI 2.20-4.28). We found a strong relationship between post-operative infections and 5-year and 10-year mortality in patients undergoing CABG. Pneumonia and BSI were the only types of infection that were found to have a significant impact on increased long-term mortality after CABG surgery.

Impact of major infections on 10-year mortality after revascularization in patients with complex coronary artery disease

BACKGROUND

The significant interaction between major infection and 5-year mortality after percutaneous coronary intervention (PCI) or coronary artery bypass graft (CABG) for complex coronary artery disease (CAD) was observed previously. However, the very long-term outcomes beyond 5 years remains unclear.

METHODS AND RESULTS

This is a subgroup analysis of the SYNTAX Extended Survival (SYNTAXES) trial, which is the extended follow-up of the randomized SYNTAX trial comparing PCI versus CABG in patients with three-vessel disease (3VD) or left-main CAD (LMCAD). Out of 1517 patients enrolled in the SYNTAX trial with available survival status from 5 to 10 years, 140 patients had experienced major infections and survived at 5 years (major infection group). From 5 to 10 years, the mortality of major infection group was 19.8% whereas the mortality of no major infection group was 15.1% (p = 0.157). After the adjustment of other clinical factors, the risk of mortality from 5 to 10 years did not significantly differ between major infection and no major infection groups (HR: 1.10; 95% CI: 0.62-1.96; p = 0.740). When stratified by the presence or absence of periprocedural major infections, defined as a major infection within 60 days after index procedure, there was also no significant difference in 10-year mortality between two groups (30.8% vs. 24.5%; p = 0.057).

CONCLUSIONS

Despite the initial association between major infections and 5 years mortality, postprocedural major infection was not evident in the 10 years follow-up, suggesting that the impact of major infection on mortality subsided over time beyond 5 years.

TRIAL REGISTRATION

SYNTAXES ClinicalTrials.gov reference: NCT03417050 SYNTAX ClinicalTrials.gov reference: NCT00114972.

Acute kidney injury in patients with acute coronary syndrome after percutaneous coronary intervention: pathophysiologies, risk factors and preventive measures

Background: Percutaneous coronary intervention (PCI) has been an effective treatment for acute coronary syndrome (ACS) patients. Acute kidney injury (AKI) is one of the common complications after PCI, which seriously affects the living quality and survival time of patients. The approach followed for the patient with AKI after PCI depends on the clinical context and may vary by resource availability. Summary: This review focuses on the pathophysiologies, influencing factors, and preventive measures of AKI in patients with ACS after PCI. The knowledge may better serve the patients and improve their outcomes. Key Messages: Many studies have been carried out for the definition and standard of AKI in the past few years. Etiologies of AKI after PCI included renal damage of contrast medium and atherosclerotic embolism, cardiac insufficiency and surgical factors on renal function. Basic conditions, treatment modalities, and perioperative changes are major risk factors of AKI. Studies have reported that the prevention of contrast-induced nephropathy, modulating the volume overload, some pharmaceuticals and blood purification treatment are helpful to prevent the occurrence of AKI.

Risk stratification tool for all surgical site infections after coronary artery bypass grafting

OBJECTIVE

To develop a risk score for surgical site infections (SSIs) after coronary artery bypass grafting (CABG).

DESIGN

Retrospective study.

SETTING

University hospital.

PATIENTS

A derivation sample of 7,090 consecutive isolated or combined CABG patients and 2 validation samples (2,660 total patients).

METHODS

Predictors of SSIs were identified by multivariable analyses from the derivation sample, and a risk stratification tool (additive and logistic) for all SSIs after CABG (acronym, ASSIST) was created. Accuracy of prediction was evaluated with C-statistic and compared 1:1 (using the Hanley-McNeil method) with most relevant risk scores for SSIs after CABG. Both internal (1,000 bootstrap replications) and external validation were performed.

RESULTS

SSIs occurred in 724 (10.2%) cases and 2 models of ASSIST were created, including either baseline patient characteristics alone or combined with other perioperative factors. Female gender, body mass index >29.3 kg/m2, diabetes, chronic obstructive pulmonary disease, extracardiac arteriopathy, angina at rest, and nonelective surgical priority were predictors of SSIs common to both models, which outperformed (P < .0001) 6 specific risk scores (10 models) for SSIs after CABG. Although ASSIST performed differently in the 2 validation samples, in both, as well as in the derivation data set, the combined model outweighed (albeit not always significantly) the preoperative-only model, both for additive and logistic ASSIST.

CONCLUSIONS

In the derivation data set, ASSIST outperformed specific risk scores in predicting SSIs after CABG. The combined model had a higher accuracy of prediction than the preoperative-only model both in the derivation and validation samples. Additive and logistic ASSIST showed equivalent performance.