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1.
Am J Transplant ; 8(8): 1737-43, 2008 Aug.
Article in English | MEDLINE | ID: mdl-18557723

ABSTRACT

Methicillin-resistant Staphylococcus aureus (MRSA) and vancomycin-resistant enterococcus (VRE) infections cause significant morbidity and mortality among liver transplant candidates and recipients. To assess rates of MRSA and VRE colonization, we obtained active surveillance cultures from 706 liver transplant candidates and recipients within 24 h of admission to an 11-bed liver transplant ICU from October 2000 to December 2005. Patients were followed prospectively to determine the cumulative risk of MRSA or VRE infection or death by colonization status. Outcomes were assessed by Kaplan-Meier survival analysis and Cox regression and multivariate logistic regression adjusting for covariates. The prevalence of newly detected MRSA nasal and VRE rectal colonization was 6.7% and 14.6%, respectively. Liver transplant candidates and recipients with MRSA colonization had an increased risk of MRSA infection (adjusted OR = 15.64, 95% CI 6.63-36.89) but not of death (adjusted OR = 1.00, 95% CI 0.43-2.30), whereas those with VRE colonization had an increased risk both of VRE infection (adjusted OR = 3.61, 95% CI 2.01-6.47) and of death (adjusted OR = 2.12, 95% CI 1.27-3.54) compared with noncolonized patients. Prevention and control strategies, including use of active surveillance cultures, should be implemented to reduce the rates of both MRSA and VRE colonization in this high-risk patient population.


Subject(s)
Carrier State/microbiology , Gram-Positive Bacterial Infections/microbiology , Liver Transplantation/mortality , Methicillin-Resistant Staphylococcus aureus/isolation & purification , Staphylococcal Infections/microbiology , Adolescent , Adult , Aged , Aged, 80 and over , Enterococcus , Female , Humans , Male , Middle Aged , Vancomycin Resistance
2.
Jt Comm J Qual Improv ; 22(10): 702-12, 1996 Oct.
Article in English | MEDLINE | ID: mdl-8923169

ABSTRACT

BACKGROUND: In April 1994 at the University of California at Los Angeles Medical Center the Surgical Intensive Care Unit's (SICU's) Quality Improvement Council unanimously agreed on pain management as one of the major factors that negatively affect outcomes for their patient population. Using the FOCUS-PDCA (plan-do-check-act) model for quality improvement (QI), the council chartered a subcommittee to improve the pain management in their ICUs. METHODOLOGY: The subcommittee first measured the pain assessment scores of patients at transfer from the ICU. After ascertaining that these scores were greater than the goal of 2, the process of providing pain relief was examined with the assistance of process control statistics, which showed a process barely capable of meeting the goal of pain score of 2 or less on a 0-5 scale. The process factors that affected this outcome were examined and changes were made where appropriate. One of these changes was development of a guideline for acute pain management based on the Agency for Health Care Policy Research's Acute Pain Management Clinical Practice Guideline. Reassessment of the pain scores and the process was then conducted. RESULTS: The pain assessment scores at transfer from the ICU decreased significantly. Thirty-five percent of patients in the preguideline survey rated their scores as greater than 2, compared with only 21% at the postguideline survey. Pain assessment and documentation also improved significantly. CONCLUSION: The Quality Improvement Council felt that improvements in pain management were due largely to their having provided staff with the right tools to use in assessing, documenting, and controlling pain. Gains in pain management continue to be made.


Subject(s)
Intensive Care Units/standards , Pain/prevention & control , Practice Guidelines as Topic , Total Quality Management/methods , Hospitals, University , Humans , Inservice Training , Institutional Management Teams , Los Angeles , Models, Organizational , Pain/drug therapy , Pain Measurement , Process Assessment, Health Care , Program Development/methods , Software Design
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