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Management Practices and the Risk of Infection Following Cardiac Surgery

Mount Sinai Health System logo

Mount Sinai Health System

Status

Completed

Conditions

Cardiac Surgery
Management Practices
Infections, Nosocomial
Infection, Postoperative Wound
Postoperative Wound Infection

Study type

Observational

Funder types

Other
NIH

Identifiers

NCT01089712
5U01HL088942 (U.S. NIH Grant/Contract)
GCO 08-1078-00005
694 (Other Identifier)
5U1HL088942-02

Details and patient eligibility

About

The purpose of the study is to determine the best ways to prevent infections after heart surgery. Participation in the study will last at most 3 months after heart surgery. The study will only collect information about the care patients receive during the planned surgery. No new testing or procedures will be done. Patients will receive only the tests or procedures the doctor already has planned. This kind of study is an observational study, because all that is planned to do is observe the care patients receive and how well they do during treatment. The information collected should help to improve the quality of surgical care in the future.

Full description

Hospital-acquired infections represent the main non-cardiac complication after heart surgery. They are associated with substantial morbidity and higher mortality, as they often require prolonged hospitalization and additional surgery. The proportion of cardiac surgery patients at high-risk for infection is increasing because of the increased prevalence of co-morbid conditions such as obesity and diabetes mellitus in the general (and especially the elderly) population.

In addition to increased morbidity and mortality, infectious complications also result in greater economic burden. A past study estimated that the incremental cost of treating Medicare beneficiaries who suffered from septicemia after coronary artery bypass grafting (CABG) to be $59,204. These patients stayed in the hospital 21.3 days longer than those who did not experience any serious adverse events. Of great relevance to treating hospitals, the Centers for Medicare and Medicaid Services (CMS) announced in the fall of 2007 that they would no longer pay for care related to preventable complications. CMS specifically mentioned excluding reimbursements for mediastinitis after CABG, and catheter associated infections. Thus, there is a crucial need to identify variables that mitigate infections post cardiac surgery and to develop effective preventative treatment strategies.

Prior studies have examined the relationship between patient baseline (preoperative) characteristics (e.g., co-morbid conditions) and hospital-acquired infections post cardiac surgery. The STS database, for example, has led to the identification of predictive factors of post-operative CABG infections. Much of the variations in outcomes seen at different institutions, however, cannot be explained by differences in preoperative patient characteristics alone. How care is delivered also plays an essential role in determining infection rates and is therefore likely to explain some of the differences in these rates observed at different institutions. The literature has not sufficiently examined the relationship between treatment/management practices (e.g., line management, ventilator management, etc) and postoperative infection risk. In this study we seek to better understand management practices that put patients at high risk for infections post-cardiac surgery.

Enrollment

5,158 patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Clinical indication for cardiac surgical interventions
  • Age ≥ 18 years

Exclusion criteria

  • Active systemic infection at the time of enrollment

Trial design

5,158 participants in 1 patient group

Patients undergoing cardiac surgery
Description:
The patient population for this study consists of all patients undergoing cardiac surgical interventions. All patients who meet the eligibility criteria may be included in the study regardless of gender, race or ethnicity.

Trial contacts and locations

10

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Data sourced from clinicaltrials.gov

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