Keith Kaye

Duke University, Durham, NC, USA

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Publications (5)18.63 Total impact

  • Article: Does method of sternal repair influence long-term outcome of postoperative mediastinitis?
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    ABSTRACT: Post-sternotomy mediastinitis reduces survival after cardiac surgery, potentially further affected by details of mediastinal vascularized flap reconstruction. The aim of this study was to evaluate survival after different methods for sternal reconstruction in mediastinitis. Two hundred twenty-two adult cardiac surgery patients with post-sternotomy mediastinitis were reviewed. After controlling infection, often augmented by negative pressure therapy, muscle flap, omental flap, or secondary closure was performed. Outcomes were reviewed and survival analysis was performed. Baseline characteristics were similar. In-hospital mortality (15.7%) did not differ between groups. Secondary closure was correlated with negative pressure therapy and reduced length hospital of stay. Recurrent wound complications were more common with muscle flap repair. Survival was unaffected by sternal repair technique. By multivariate analysis, heart failure, sepsis, age, and vascular disease independently predicted mortality, while negative pressure therapy was associated with survival. Choice of sternal repair was unrelated to survival, but mediastinal treatment with negative pressure therapy promotes favorable early and late outcomes.
    American journal of surgery 09/2011; 202(5):565-7. · 2.36 Impact Factor
  • Article: Clinical outcomes and costs among patients with Staphylococcus aureus bacteremia and orthopedic device infections.
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    ABSTRACT: We evaluated costs and outcomes of patients with S. aureus bacteremia and orthopedic device infections (ODI). Patients with ODI had higher relapse of S. aureus infection, compared to bacteremic patients without ODI. Costs and outcomes were similar among ODI patients undergoing device removal and those treated with debridement and retention.
    Scandinavian Journal of Infectious Diseases 08/2008; 40(11-12):973-7. · 1.72 Impact Factor
  • Article: Analysis of two- and three-year trends in antimicrobial resistance in intensive care units using unit-specific antibiograms.
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    ABSTRACT: Unit-specific antibiograms serve as useful guides to clinicians and infection control personnel. We compared trends in antimicrobial resistance in intensive care units using traditional 2-y unit-specific antibiogram data and 3 y of data. Three-y unit-specific antibiogram data may provide increased statistical power to detect changes in antimicrobial resistance.
    Scandinavian Journal of Infectious Diseases 05/2008; · 1.72 Impact Factor
  • Article: Admission-specific chronic disease scores as alternative predictors of surgical site infection for patients undergoing coronary artery bypass graft surgery.
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    ABSTRACT: To evaluate the admission chronic disease score (ACDS) and a variant of the ACDS as predictors of surgical site infection (SSI) for study participants who underwent coronary artery bypass graft (CABG) surgery. Retrospective case-control study. A 750-bed academic medical center. All participants with an SSI that was identified through hospital-based surveillance (defined as case patients) and a random sample of participants without SSI following CABG surgery (defined as control subjects) between July 1, 1999, and June 30, 2001. An ACDS based on medications ordered on the day of hospital admission was determined for 264 study participants admitted prior to the day of the surgical procedure. A preadmission chronic disease score (PACDS) based on outpatient medications was calculated for 281 participants, using the record of preadmission medications in the patient's discharge summary. The ACDS and PACDS were significantly higher for case patients, compared with control subjects (P=.03 and P=.05, respectively). American Society of Anesthesiologists (ASA) score and the standard National Nosocomial Infection Surveillance system (NNIS) risk index were not significant predictors of SSI. In logistic regression models, only the ACDS (odds ratio, 1.02 per 100 ACDS points), the PACDS (odds ratio, 1.02 per 100 PACDS points), the highest PACDS quintile (odds ratio, 2.89 [compared with lowest quintile]), and a modified NNIS-PACDS score of 2 (odds ratio, 3.5 [compared with a score of 0]) were significant predictors of SSI. Because preoperative medications are likely to reflect comorbidities that influence the risk of SSI, medication-based scoring systems such as the ACDS and PACDS may allow for better risk stratification than the standard NNIS risk index, particularly for patient populations with relatively homogenous wound classification and ASA score distributions.
    Infection Control and Hospital Epidemiology 09/2006; 27(8):802-8. · 3.67 Impact Factor
  • Article: Risk factors for pediatric ventriculoperitoneal shunt infection and predictors of infectious pathogens.
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    ABSTRACT: Identification of risk factors for shunt infection and predictors of infectious pathogens may improve current methods to prevent and treat shunt infections. We reviewed data on 820 consecutive ventriculoperitoneal (VP) shunt placement procedures in 442 pediatric patients at our institution during 1992-1998. Ninety-two shunts (11%) developed infection a median of 19 days (interquartile range, 11-35 days) after insertion. Premature birth (relative risk [RR], 4.81; 95% confidence interval [CI], 2.19-10.87), previous shunt infection (RR, 3.83; 95% CI, 2.40-6.13), and intraoperative use of the neuroendoscope (RR, 1.58; 95% CI, 1.01-2.50) were independent risk factors for shunt infection. The bacterial organisms early after shunt surgery (<14 days) were the same as those late after shunt surgery (>14 days). As determined by an analysis of the 92 infected shunts, hospital stay of >3 days at the time of shunt insertion (odds ratio [OR], 5.27; 95% CI, 1.15-25.3) and prior Staphylococcus aureus shunt infection (OR, 5.91; 95% CI, 1.35-25.9) independently increased the odds that S. aureus was the causal pathogen.
    Clinical Infectious Diseases 04/2003; 36(7):858-62. · 9.15 Impact Factor