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      Surgical Site Infection after Renal Transplantation

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          Abstract

          OBJECTIVE

          To identify factors associated with the development of surgical site infection (SSI) among adult patients undergoing renal transplantation

          DESIGN

          A retrospective cohort study

          SETTING

          An urban tertiary care center in Baltimore, Maryland, with a well-established renal transplantation program that performs ~200–250renal transplant procedures annually

          RESULTS

          At total of 441 adult patients underwent renal transplantation between January 1, 2010, and December 31, 2011. Of these 441patients, 66 (15%) developed an SSI; of these 66, 31 (47%) were superficial incisional infections and 35 (53%) were deep-incisional or organ-space infections. The average body mass index (BMI) among this patient cohort was 29.7; 84 (42%) were obese (BMI >30). Patients who developed an SSI had a greater mean BMI (31.7 vs 29.4; P=.004) and were more likely to have a history of peripheral vascular disease, rheumatologic disease, and narcotic abuse. History of cerebral vascular disease was protective. Multivariate analysis showed BMI (odds ratio [OR] 1.06; 95% confidence interval [CI], 1.02–1.11) and past history of narcotic use/abuse (OR, 4.86; 95% CI, 1.24–19.12) to be significantly associated with development of SSI after controlling for National Healthcare Surveillance Network (NHSN) score and presence of cerebrovascular, peripheral vascular, and rheumatologic disease.

          CONCLUSIONS

          We identified higher BMI as a risk factor for the development of SSI following renal transplantation. Notably, neither aggregate comorbidity scores nor NHSN risk index were associated with SSI in this population. Additional risk adjustment measures and research in this area are needed to compare SSIs across transplant centers.

          Infect Control Hosp Epidemiol 2015;00(0): 1–7

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          Most cited references16

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          Guideline for prevention of surgical site infection, 1999. Hospital Infection Control Practices Advisory Committee.

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            National Healthcare Safety Network (NHSN) report: data summary for 2006 through 2008, issued December 2009.

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              A chronic disease score from automated pharmacy data.

              Using population-based automated pharmacy data, patterns of use of selected prescription medications during a 1 year time period identified by a consensus judgement process were used to construct a measure of chronic disease status (Chronic Disease Score). This score was evaluated in terms of its stability over time and its association with other health status measures. In a pilot test sample of high utilizers of ambulatory health care well known to their physicians (n = 219), Chronic Disease Score (CDS) was correlated with physician ratings of physical disease severity (r = 0.57). In a second random sample of patients (n = 722), its correlation with physician-rated disease severity was 0.46. In a total population analysis (n = 122,911), it was found to predict hospitalization and mortality in the following year after controlling for age, gender and health care visits. In a population sample (n = 790), CDS showed high year to year stability (r = 0.74). Based on health survey data, CDS showed a moderate association with self rated health status and self reported disability. Unlike self-rated health status and health care utilization, CDS was not associated with depression or anxiety. We conclude that scoring automated pharmacy data can provide a stable measure of chronic disease status that, after controlling for health care utilization, is associated with physician-rated disease severity, patient-rated health status, and predicts subsequent mortality and hospitalization rates. Specific methods of scoring automated pharmacy data to measure global chronic disease status may require adaptation to local prescribing practices. Scoring might be improved by empirical estimation of weighting factors to optimize prediction of mortality and other health status measures.
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                Author and article information

                Journal
                Infection Control & Hospital Epidemiology
                Infect. Control Hosp. Epidemiol.
                Cambridge University Press (CUP)
                0899-823X
                1559-6834
                April 2015
                January 20 2015
                April 2015
                : 36
                : 4
                : 417-423
                Article
                10.1017/ice.2014.77
                25782896
                379867f4-9cc2-48a9-b55c-44665268e5f4
                © 2015

                https://www.cambridge.org/core/terms

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