Infection Control and Hospital Epidemiology最新文献

Objective: Skin and soft tissue infections (SSTIs) account for over 2.8 million annual emergency department (ED) visits and often result in suboptimal antibiotic therapy. The objective of this study was to evaluate a set of interventions in minimizing inappropriate prescription of antibiotics for presumed SSTIs in the ED.

Design: Case vignette survey.

Participants: A national sample of emergency medicine (EM) physicians.

Methods: Each vignette described a clinical scenario of a presumed SSTI (cellulitis or abscess) and included a unique combination of zero to five interventions (outpatient follow-up, inappropriate antibiotic request flag, thermal imaging for cellulitis or rapid wound MRSA PCR for abscess, patient education/shared decision-making, and clinical decision support). Out of 64 possible vignettes, we asked participants to respond to eight vignettes. Following each vignette, we asked participants if they would prescribe an antibiotic in their everyday practice (yes/no). We built adjusted hierarchical logistic regression models to estimate the probability of prescribing an antibiotic for each intervention and vignette.

Results: Surveys were completed by 113 EM physicians. The thermal imaging, rapid wound MRSA PCR, and patient education/shared decision-making interventions showed the largest decrease (15-20%) in antibiotic prescribing probability. Vignettes with a combination of both a diagnostic intervention (thermal imaging or rapid wound MRSA PCR) and a patient education/shared decision-making intervention had the lowest prescribing probabilities.

Conclusion: We recommend future research focuses on the development and integration of novel diagnostic tools to identify true infection and incorporate shared decision-making to improve diagnosis and management of SSTIs.

Objective: Patients with chronic kidney disease suffer from immune dysfunction, increasing susceptibility to infections. The aim of the study was to investigate air contamination with respiratory viruses in a dialysis unit at a quaternary hospital using molecular detection techniques and to analyze airflow dynamics through computational fluid dynamics (CFD) simulations for a comprehensive assessment of air transmission risks.

Methods: We conducted dialysis unit air sampling using AerosolSense™ samplers. Air and clinical sampling occurred during three periods in 2022: winter, early, and late fall. A technical team maintained the dialysis unit's ventilation system during mid fall. Ventilation system capacity and airflow rates were measured. CFD simulations were used to evaluate airflow dynamics.

Results: The investigation collected 144 air samples, revealing heterogeneous virus detection rates across locations and study periods. Virus positivity correlated with the presence of patients and the effectiveness of the ventilation system. The ratio of virus air positivity to virus patient positivity was 1.84 and 3.35 during the first and the second periods, respectively, and collapsed to 0.64 after maintenance. Airflow rate measurements highlighted a ninefold discrepancy between actual and theoretical airflow (393 m³/h vs. 3530 m³/h), which was rectified by maintenance actions. Airflow dynamics and particle dispersion visualization through CFD simulations contributed to a better understanding of transmission risks.

Conclusions: Detection of viruses in the air, combined with CFD, revealed deficiencies in air renewal. Maintenance interventions significantly improved airflow dynamics and particle dispersion, reducing airborne virus spread.

Background: Clinical trials for assessing the effects of infection prevention and control (IPC) interventions are expensive and have shown mixed results. Mathematical models can be relatively inexpensive tools for evaluating the potential of interventions. However, capturing nuances between institutions and in patient populations have adversely affected the power of computational models of nosocomial transmission.

Methods: In this study, we present an agent-based model of ICUs in a tertiary care hospital, which directly uses data from the electronic medical records (EMR) to simulate pathogen transmission between patients, HCWs, and the environment. We demonstrate the application of our model to estimate the effects of IPC interventions at the local hospital level. Furthermore, we identify the most important sources of uncertainty, suggesting areas for prioritization in data collection.

Results: Our model suggests that the stochasticity in ICU infections was mainly due to the uncertainties in admission prevalence, hand hygiene compliance/efficacy, and environmental disinfection efficacy. Analysis of interventions found that improving mean HCW compliance to hand hygiene protocols to 95% from 70%, mean terminal room disinfection efficacy to 95% from 50%, and reducing post-handwashing residual contamination down to 1% from 50%, could reduce infections by an average of 36%, 31%, and 26%, respectively.

Conclusions: In-silico models of transmission coupled to EMR data can improve the assessment of IPC interventions. However, reducing the uncertainty of the estimated effectiveness requires collecting data on unknown or lesser known epidemiological and operational parameters of transmission, particularly admission prevalence, hand hygiene compliance/efficacy, and environmental disinfection efficacy.

Objective: To compare the incidence of surgical site infection (SSI) between cefazolin 3 g and 2 g surgical prophylaxis in patients weighing ≥120 kg that undergo elective colorectal surgery.

Methods: A multicenter, retrospective cohort study was performed utilizing a validated database of elective colorectal surgeries in Michigan acute care hospitals. Adults weighing ≥120 kg who received cefazolin and metronidazole for surgical prophylaxis between 7/2012 and 6/2021 were included. The primary outcome was SSI, which was defined as an infection diagnosed within 30 days following the principal operative procedure. Multivariable logistic regression was used to identify variables associated with SSI; the exposure of interest was cefazolin 3 g surgical prophylaxis.

Results: A total of 581 patients were included; of these, 367 (63.1%) received cefazolin 3 g, while 214 (36.8%) received 2 g. Patients who received cefazolin 3 g had less optimal antibiotic timing (324 [88.3%] vs 200 [93.5%]; P = .043) and a higher receipt of at least 1 of the prophylaxis antibiotics after incision (22 [6%] vs 5 [2.3%]; P = .043). There was no SSI difference between cefazolin 3 g and 2 g cohorts (23 [6.3%] vs 16 [7.5%], P = .574). When accounting for age, smoking status, and surgical duration, cefazolin 3 g was not associated with a reduction in SSI (adjOR, .64; 95%CI, .32-1.29).

Conclusions: Surgical prophylaxis with cefazolin 3 g, in combination with metronidazole, was not associated with decreased SSI compared to 2 g dosing in obese patients undergoing elective colorectal surgery.

Objective: Urgent care centers (UCCs) have reported high rates of antibiotic prescribing for acute respiratory tract infections. Prior UCC studies have generally been limited to single networks. Broadly generalizable stewardship efforts targeting common diagnoses are needed. This study examines the effectiveness of an antibiotic stewardship intervention in reducing inappropriate prescribing for bronchitis and viral upper respiratory tract infections (URTIs) in UCCs.

Design: A quality improvement study comparing inappropriate antibiotic prescribing rates in UCCs after the introduction of an antibiotic stewardship intervention.

Setting: Forty-nine UCCs in 27 different networks from 18 states, including 1 telemedicine site.

Participants: Urgent care clinicians from a national collaborative of UCCs, all members of the Urgent Care Association.

Methods: The intervention included signing a commitment statement and selecting from 5 different intervention options during 3 plan-do-study-act cycles. The primary outcome was the percentage of urgent care encounters for viral URTIs or bronchitis with inappropriate prescribing, stratified by clinician engagement and diagnosis. A 3-month baseline and 9-month intervention period were compared using a regression model using a generalized estimating equation.

Results: Among 15,385 encounters, the intervention was associated with decreases in inappropriate antibiotic prescribing for bronchitis (48% relative decrease, aOR = 0.52; 95% CI, 0.33-0.83) and viral URTIs (33%, aOR = 0.67; 95% CI, 0.55-0.82) among actively engaged clinicians compared to baseline. The intervention did not result in significant changes for clinicians not actively engaged.

Conclusions: This intervention was associated with reductions in inappropriate prescribing among actively engaged clinicians. Implementing stewardship interventions in UCCs may reduce inappropriate antibiotic prescriptions for common diagnoses; however, active clinician engagement may be necessary.

Background: The study objective was to develop and validate a clinical decision support system (CDSS) to guide clinicians through the diagnostic evaluation of hospitalized individuals with suspected pulmonary tuberculosis (TB) in low-prevalence settings.

Methods: The "TBorNotTB" CDSS was developed using a modified Delphi method. The CDSS assigns points based on epidemiologic risk factors, TB history, symptoms, chest imaging, and sputum/bronchoscopy results. Below a set point threshold, airborne isolation precautions are automatically discontinued; otherwise, additional evaluation, including infection control review, is recommended. The model was validated through retrospective application of the CDSS to all individuals hospitalized in the Mass General Brigham system from July 2016 to December 2022 with culture-confirmed pulmonary TB (cases) and equal numbers of age and date of testing-matched controls with three negative respiratory mycobacterial cultures.

Results: 104 individuals with TB (cases) and 104 controls were identified. Prior residence in a highly endemic country, positive interferon release assay, weight loss, absence of symptom resolution with treatment for alternative diagnoses, and findings concerning for TB on chest imaging were significant predictors of TB (all P < 0.05). CDSS contents and scoring were refined based on the case-control analysis. The final CDSS demonstrated 100% sensitivity and 27% specificity for TB with an AUC of 0.87.

Conclusions: The TBorNotTB CDSS demonstrated modest specificity and high sensitivity to detect TB even when AFB smears were negative. This CDSS, embedded into the electronic medical record system, could help reduce risks of nosocomial TB transmission, patient-time in airborne isolation, and person-time spent reviewing individuals with suspected TB.

International Classification of Diseases, Tenth Revision (ICD-10) billing data used in outpatient stewardship metrics is under-described for acute and chronic sinusitis. We found that different sinusitis ICD-10 definitions impacted antibiotic prescribing rates (APRs). Chronic sinusitis ICD-10s dilute overall sinusitis APR, particularly in primary care settings and should be examined separately.

Objective: Whole genome sequencing (WGS) can help identify transmission of pathogens causing healthcare-associated infections (HAIs). However, the current gold standard of short-read, Illumina-based WGS is labor and time intensive. Given recent improvements in long-read Oxford Nanopore Technologies (ONT) sequencing, we sought to establish a low resource approach providing accurate WGS-pathogen comparison within a time frame allowing for infection prevention and control (IPC) interventions.

Methods: WGS was prospectively performed on pathogens at increased risk of potential healthcare transmission using the ONT MinION sequencer with R10.4.1 flow cells and Dorado basecaller. Potential transmission was assessed via Ridom SeqSphere+ for core genome multilocus sequence typing and MINTyper for reference-based core genome single nucleotide polymorphisms using previously published cutoff values. The accuracy of our ONT pipeline was determined relative to Illumina.

Results: Over a six-month period, 242 bacterial isolates from 216 patients were sequenced by a single operator. Compared to the Illumina gold standard, our ONT pipeline achieved a mean identity score of Q60 for assembled genomes, even with a coverage rate as low as 40×. The mean time from initiating DNA extraction to complete analysis was 2 days (IQR 2-3.25 days). We identified five potential transmission clusters comprising 21 isolates (8.7% of sequenced strains). Integrating ONT with epidemiological data, >70% (15/21) of putative transmission cluster isolates originated from patients with potential healthcare transmission links.

Conclusions: Via a stand-alone ONT pipeline, we detected potentially transmitted HAI pathogens rapidly and accurately, aligning closely with epidemiological data. Our low-resource method has the potential to assist in IPC efforts.