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To determine the impact of total household decolonization with intranasal mupirocin and chlorhexidine gluconate body wash on recurrent methicillin-resistant Staphylococcus aureus (MRSA) infection among subjects with MRSA skin and soft-tissue infection.
DESIGN
Three-arm nonmasked randomized controlled trial.
SETTING
Five academic medical centers in Southeastern Pennsylvania.
PARTICIPANTS
Adults and children presenting to ambulatory care settings with community-onset MRSA skin and soft-tissue infection (ie, index cases) and their household members.
INTERVENTION
Enrolled households were randomized to 1 of 3 intervention groups: (1) education on routine hygiene measures, (2) education plus decolonization without reminders (intranasal mupirocin ointment twice daily for 7 days and chlorhexidine gluconate on the first and last day), or (3) education plus decolonization with reminders, where subjects received daily telephone call or text message reminders.
MAIN OUTCOME MEASURES
Owing to small numbers of recurrent infections, this analysis focused on time to clearance of colonization in the index case.
RESULTS
Of 223 households, 73 were randomized to education-only, 76 to decolonization without reminders, 74 to decolonization with reminders. There was no significant difference in time to clearance of colonization between the education-only and decolonization groups (log-rank P=.768). In secondary analyses, compliance with decolonization was associated with decreased time to clearance (P=.018).
CONCLUSIONS
Total household decolonization did not result in decreased time to clearance of MRSA colonization among adults and children with MRSA skin and soft-tissue infection. However, subjects who were compliant with the protocol had more rapid clearance
Compared to chart review, a definition based on the International Classification of Disease, Ninth Revision, Clinical Modification (ICD-9-CM) diagnosis code for healthcare-associated influenza-like illness (HA-ILI) among young children in a large pediatric network demonstrated high positive and negative predictive values. This finding suggests that electronic health record–based definitions for surveillance can accurately identify medically attended outpatient HA-ILI cases for research and surveillance.
To identify risk factors for recurrent methicillin-resistant Staphylococcus aureus (MRSA) colonization.
DESIGN
Prospective cohort study conducted from January 1, 2010, through December 31, 2012.
SETTING
Five adult and pediatric academic medical centers.
PARTICIPANTS
Subjects (ie, index cases) who presented with acute community-onset MRSA skin and soft-tissue infection.
METHODS
Index cases and all household members performed self-sampling for MRSA colonization every 2 weeks for 6 months. Clearance of colonization was defined as 2 consecutive sampling periods with negative surveillance cultures. Recurrent colonization was defined as any positive MRSA surveillance culture after clearance. Index cases with recurrent MRSA colonization were compared with those without recurrence on the basis of antibiotic exposure, household demographic characteristics, and presence of MRSA colonization in household members.
RESULTS
The study cohort comprised 195 index cases; recurrent MRSA colonization occurred in 85 (43.6%). Median time to recurrence was 53 days (interquartile range, 36–84 days). Treatment with clindamycin was associated with lower risk of recurrence (odds ratio, 0.52; 95% CI, 0.29–0.93). Higher percentage of household members younger than 18 was associated with increased risk of recurrence (odds ratio, 1.01; 95% CI, 1.00–1.02). The association between MRSA colonization in household members and recurrent colonization in index cases did not reach statistical significance in primary analyses.
CONCLUSION
A large proportion of patients initially presenting with MRSA skin and soft-tissue infection will have recurrent colonization after clearance. The reduced rate of recurrent colonization associated with clindamycin may indicate a unique role for this antibiotic in the treatment of such infection.
Infect. Control Hosp. Epidemiol. 2015;36(7):786–793
The Centers for Disease Control and Prevention (CDC) recently narrowed its definition of catheter-associated urinary tract infection (CAUTI) to exclude asymptomatic bacteriuria. Although CAUTI rates decreased after the definition was changed, rates of related measures remained relatively stagnant, which indicates that longitudinal measurements of CAUTI may be misleading and that the change in definition did not itself impact care.
The prevalence of fluoroquinolone (FQ) resistance in Escherichia coli has increased markedly in recent years. Despite the important role of gastrointestinal tract colonization with FQ-resistant E. coli (FQREC), the prevalence of and risk factors for FQREC colonization among the general hospitalized patient population have not been described, to our knowledge. The objective of this study was to identify the prevalence of and risk factors for FQREC colonization among hospitalized patients.
Design.
Three-year case-control study. Case patients (ie, all subjects with FQREC colonization) were compared with control patients (ie, all subjects without FQREC colonization).
Setting.
Two large medical centers within an academic health system.
Participants.
All patients hospitalized at the 2 study hospitals.
Main Outcome Measure.
Three annual fecal surveillance surveys were conducted. All patients colonized with FQREC (levofloxacin minimum inhibitory concentration, ≥ 8 μg/mL) were identified.
Results.
Of the 774 subjects, 89 (11.5%) were colonized with FQREC. Although there was a significant association between prior FQ use and FQREC colonization on bivariable analysis (odds ratio [OR], 2.02 [95% confidence interval {CI}, 1.14–3.46]; P = .01), there was statistically significant effect modification by year of study (P = .005). In multivariable analyses, after controlling for the hospital and for the duration of hospitalization prior to sampling, the association between FQ use and FQREC colonization was as follows: adjusted OR (aOR), 0.97 (95% CI, 0.29–3.23) in 2002; aOR, 1.41 (95% CI, 0.57–3.50) in 2003; and aOR, 9.87 (95% CI, 3.67–26.55) in 2004.
Conclusions.
The association between prior FQ use and FQREC colonization varied significantly by study year, suggesting that the clinical epidemiology of resistant organisms may change over time. Furthermore, in the context of recent work showing significant changes in FQREC prevalence as well as changes in FQ resistance mechanisms (specifically, efflux overexpression) over the same time period, these results suggest a previously unrecognized complexity in the relationship between the clinical and molecular epidemiology of FQ resistance.
A number of recent studies of antimicrobial resistance have focused on the role of antimicrobial-resistant pathogens that colonize the gastrointestinal tract. However, participation rates have been low in studies that involve fecal sampling. Attitudes toward such studies among potential study participants have not been assessed.
Methods.
We conducted a cross-sectional survey, enrolling 3 groups of inpatients from a large academic center. Group 1 consisted of patients who had previously participated in a cohort study of fluoroquinolone-resistant Escherichia coli, which involved the collection of perirectal swab samples. Group 2 consisted of patients who had previously refused to participate in the study of fluoroquinolone-resistant E. coli. Group 3 consisted of patients who had never been asked to participate in the study of the fluoroquinolone-resistant E. coli. The survey assessed patients' attitudes and beliefs regarding medical research and their willingness to consent to collection of a perirectal swab sample. Response options were recorded on a 5-point Likert scale. The Fisher exact test was used to compare dichotomized responses across study groups.
Results.
A total of 90 patients were surveyed: there were 29 in group 1 and in group 2 and 32 in group 3. Of 90 patients, 31 (35%) believed researchers might run additional tests on collected samples without informing the patient, whereas 25 (27%) believed persons other than the research team might gain access to study results. The belief that a person could get sicker as a result of a having a perirectal swab sample collected was significantly more common among patients who had previously refused to participate in the fluoroquinolone-resistant E. coli study.
Conclusion.
This study highlights important beliefs and attitudes that are associated with the likelihood of participating in studies of antimicrobial resistance. Explicitly addressing these concerns with eligible patients is critical to optimize participation in future studies.
To determine how inaccurate communication of patient data by clinicians in telephone calls to the prior-approval antimicrobial stewardship program (ASP) staff affects the incidence of inappropriate antimicrobial recommendations made by ASP practitioners.
Design.
A retrospective cohort design was used. The accuracy of the patient data communicated was evaluated against patients' medical records to identify predetermined, clinically significant inaccuracies. Inappropriate antimicrobial recommendations were defined having been made if an expert panel unanimously rated the actual recommendations as inappropriate after reviewing vignettes derived from inpatients' medical records.
Setting.
The setting was an academic medical center with a prior-approval ASP.
Patients.
All inpatient subjects of ASP prior-approval calls were eligible for inclusion.
Results.
Of 200 ASP telephone calls, the panel agreed about whether or not antimicrobial recommendations were inappropriate for 163 calls (82%); these 163 calls were then used as the basis for further analyses. After controlling for confbunders, inaccurate communication was found to be associated with inappropriate antimicrobial recommendations (odds ratio [OR], of 2.2; P = .03). In secondary analyses of specific data types, only inaccuracies in microbiological data were associated with the study outcome (OR, 7.5; P = .002). The most common reason panelists gave for rating a recommendation as inappropriate was that antimicrobial therapy was not indicated.
Conclusions.
Inaccurate communication of patient data, particularly microbiological data, during prior-approval calls is associated with an increased risk of inappropriate antimicrobial recommendations from the ASP. Clinicians and ASP practitioners should work to confirm that critical data has been communicated accurately prior to use of that data in prescribing decisions.
Antimicrobial stewardship programs (ASPs) decrease unnecessary antimicrobial use, decrease antimicrobial resistance, and improve patient outcomes. The effectiveness of a prior approval system—that is, the requirement that approval be obtained from ASP practitioners before certain antimicrobials can be used—depends on the accuracy of the patient data communicated from the primary service.
Objectives.
To determine the incidence of inaccurate communication of patient data during ASP interactions, describe examples of inaccurate communications, and identify risk factors for inaccurate communication.
Design.
We used a retrospective cohort design. We evaluated the communicated patient data for clinically important inaccuracies, using the patients' medical records as the gold standard.
Setting.
A tertiary care medical center that has a prior approval system for restricted antimicrobials.
Patients.
Inpatients discussed in telephone ASP interactions.
Intervention.
Observational study.
Results.
Of telephone calls requesting prior approval from ASP practitioners, 39% (95% confidence interval [CI], 31%-48%) contained an inaccuracy in at least 1 type of patient data (eg, current antimicrobial therapy); the incidence varied widely between data types. Examples of inaccuracies are given to demonstrate their clinical relevance. In multivariable analysis, inaccurate communications were more common for telephone calls from surgical services (versus calls from nonsurgical services: odds ratio, 2.1 [95% CI, 1.1-3.9]) and for calls received by Infectious Diseases fellows (versus pharmacists: odds ratio, 2.0 [95% CI, 1.1-3.8]).
Conclusions.
A high proportion of ASP calls requesting prior approval included patient data inaccuracies, which have the potential to affect the prescribing of antimicrobials. Although risk factors were identified, these communication errors were common across the different types of ASP interactions. Inaccurate communications may compromise the utility of ASPs that use a prior approval system for optimizing antimicrobial use.
Antimicrobial stewardship programs (ASPs) decrease unnecessary antimicrobial use, decrease antimicrobial resistance, and improve patient outcomes. The effectiveness of a prior approval system—that is, the requirement that approval be obtained from ASP practitioners before certain antimicrobials can be used—depends on the accuracy of the patient data communicated from the primary service.
Objectives.
To determine the incidence of inaccurate communication of patient data during ASP interactions, describe examples of inaccurate communications, and identify risk factors for inaccurate communication.
Design.
We used a retrospective cohort design. We evaluated the communicated patient data for clinically important inaccuracies, using the patients' medical records as the gold standard.
Setting.
A tertiary care medical center that has a prior approval system for restricted antimicrobials.
Patients.
Inpatients discussed in telephone ASP interactions.
Intervention.
Observational study.
Results.
Of telephone calls requesting prior approval from ASP practitioners, 39% (95% confidence interval [CI], 31%-48%) contained an inaccuracy in at least 1 type of patient data (eg, current antimicrobial therapy); the incidence varied widely between data types. Examples of inaccuracies are given to demonstrate their clinical relevance. In multivariable analysis, inaccurate communications were more common for telephone calls from surgical services (versus calls from nonsurgical services: odds ratio, 2.1 [95% CI, 1.1-3.9]) and for calls received by Infectious Diseases fellows (versus pharmacists: odds ratio, 2.0 [95% CI, 1.1-3.8]).
Conclusions.
A high proportion of ASP calls requesting prior approval included patient data inaccuracies, which have the potential to affect the prescribing of antimicrobials. Although risk factors were identified, these communication errors were common across the different types of ASP interactions. Inaccurate communications may compromise the utility of ASPs that use a prior approval system for optimizing antimicrobial use.
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