131 research outputs found

    Using Learning Collaboratives to Improve Public Health Emergency Preparedness Systems

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    The U.S. National Health Security Strategy calls for the development and wide-spread implementation of quality improvement (QI) tools in public health emergency preparedness (PHEP), including the development of “learning collaboratives,” a structured way for organizations with common interests to close the gap between potential and practice by learning from each other. To test this approach, we developed and assessed separate learning collaboratives focused on PHEP emergency communications and on the use of Medical Reserve Corps (MRC) volunteers. Although participants carried out improvement projects that they felt were useful, each collaborative struggled to identify a common theme, participation was limited, and leadership buy-in was not strong. This suggests that the learning collaborative model may not be appropriate in this context. Because some of the factors that limited their success are inherent (the lack of an established evidence base and agreed upon outcome and performance measures and the difficulty of carrying out rapid Plan-Do-Study-Act (PDSA) cycles and measuring the results), this suggests that the learning collaborative model may not be appropriate in this context

    An Outbreak of Pseudomonas aeruginosa Pneumonia and Bloodstream Infection Associated With Intermittent Otitis Externa in a Healthcare Worker

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    Arstract Objectives: To investigate an outbreak of Pseudomonas aeruginosa pneumonia and bloodstream infection among four neonates, determine risk factors for infection, and implement preventive strategies. Design: Retrospective case finding; prospective surveillance cultures of patients, personnel, and environmental sites; molecular typing by pulsed-field gel electrophoresis; and a matched case-control study. Patients and Setting: Neonates in the level-III neonatal intensive care unit of a tertiary-care pediatric institution. Interventions: Cohorting of patients with positive results for P. aeruginosa, work restrictions for staff with positive results, implementation of an alcohol-based hand product, review of infection control policies and procedures, and closure of the unit until completion of the investigation. Results: Seven (4%) of 190 environmental cultures and 5 (3%) of 178 cultures of individual healthcare workers' hands grew P. aeruginosa. All four outbreak isolates and one previous bloodstream isolate were genotypically identical, as were the P. aeruginosa isolates from the hands and external auditory canal of a healthcare worker with intermittent otitis externa. Four of 5 case-patients versus 5 of 15 matched control-patients had been cared for by this healthcare worker (P = .05). The healthcare worker was treated and no further cases occurred. Conclusions: These findings suggest that a healthcare worker with intermittent otitis externa may have caused this cluster of fatal P. aeruginosa infections, adding the external ear to the list of colonized body sites that may serve as a source of potentially pathogenic organism

    Quantifying Uncertainty: Physicians' Estimates of Infection in Critically Ill Neonates and Children

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    To determine the diagnostic accuracy of physicians' prior probability estimates of serious infection in critically ill neonates and children, we conducted a prospective cohort study in 2 intensive care units. Using available clinical, laboratory, and radiographic information, 27 physicians provided 2567 probability estimates for 347 patients (follow-up rate, 92%). The median probability estimate of infection increased from 0% (i.e., no antibiotic treatment or diagnostic work-up for sepsis), to 2% on the day preceding initiation of antibiotic therapy, to 20% at initiation of antibiotic treatment (P < .001). At initiation of treatment, predictions discriminated well between episodes subsequently classified as proven infection and episodes ultimately judged unlikely to be infection (area under the curve, 0.88). Physicians also showed a good ability to predict blood culture-positive sepsis (area under the curve, 0.77). Treatment and testing thresholds were derived from the provided predictions and treatment rates. Physicians' prognoses regarding the presence of serious infection were remarkably precise. Studies investigating the value of new tests for diagnosis of sepsis should establish that they add incremental value to physicians' judgmen

    Use of Binary Cumulative Sums and Moving Averages in Nosocomial Infection Cluster Detection1

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    Clusters of nosocomial infection often occur undetected, at substantial cost to the medical system and individual patients. We evaluated binary cumulative sum (CUSUM) and moving average (MA) control charts for automated detection of nosocomial clusters. We selected two outbreaks with genotyped strains and used resistance as inputs to the control charts. We identified design parameters for the CUSUM and MA (window size, k, α, β, p0, p1) that detected both outbreaks, then calculated an associated positive predictive value (PPV) and time until detection (TUD) for sensitive charts. For CUSUM, optimal performance (high PPV, low TUD, fully sensitive) was for 0.1 <α ≤0.25 and 0.2 <β <0.25, with p0 = 0.05, with a mean TUD of 20 (range 8–43) isolates. Mean PPV was 96.5% (relaxed criteria) to 82.6% (strict criteria). MAs had a mean PPV of 88.5% (relaxed criteria) to 46.1% (strict criteria). CUSUM and MA may be useful techniques for automated surveillance of resistant infections

    Viable Group A Streptococci in Macrophages during Acute Soft Tissue Infection

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    BACKGROUND: Group A streptococcal severe soft tissue infections, such as necrotizing fasciitis, are rapidly progressive infections associated with high mortality. Group A streptococcus is typically considered an extracellular pathogen, but has been shown to reside intracellularly in host cells. METHODS AND FINDINGS: We characterized in vivo interactions between group A streptococci (GAS) and cells involved in innate immune responses, using human biopsies (n = 70) collected from 17 patients with soft tissue infections. Immunostaining and in situ image analysis revealed high amounts of bacteria in the biopsies, even in those collected after prolonged antibiotic therapy. Viability of the streptococci was assessed by use of a bacterial viability stain, which demonstrated viable bacteria in 74% of the biopsies. GAS were present both extracellularly and intracellularly within phagocytic cells, primarily within macrophages. Intracellular GAS were predominantly noted in biopsies from newly involved tissue characterized by lower inflammation and bacterial load, whereas purely extracellular GAS or a combination of intra- and extracellular GAS dominated in severely inflamed tissue. The latter tissue was also associated with a significantly increased amount of the cysteine protease streptococcal pyrogenic exotoxin SpeB. In vitro studies confirmed that macrophages serve as reservoirs for viable GAS, and infection with a speB-deletion mutant produced significantly lower frequencies of cells with viable GAS following infection as compared to the wild-type bacteria. CONCLUSIONS: This is the first study to demonstrate that GAS survive intracellularly in macrophages during acute invasive infections. This intracellular presence may have evolved as a mechanism to avoid antibiotic eradication, which may explain our finding that high bacterial load is present even in tissue collected after prolonged intravenous antibiotic therapy. This new insight into the pathogenesis of streptococcal soft tissue infections highlights a need for alternative therapeutic strategies

    Prognostic factors in patients admitted to an urban teaching hospital with COVID-19 infection

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    Background: Severe COVID-19 infection results in a systemic inflammatory response (SIRS). This SIRS response shares similarities to the changes observed during the peri-operative period that are recognised to be associated with the development of multiple organ failure. Methods: Electronic patient records for patients who were admitted to an urban teaching hospital during the initial 7-week period of the COVID-19 pandemic in Glasgow, U.K. (17th March 2020—1st May 2020) were examined for routine clinical, laboratory and clinical outcome data. Age, sex, BMI and documented evidence of COVID-19 infection at time of discharge or death certification were considered minimal criteria for inclusion. Results: Of the 224 patients who fulfilled the criteria for inclusion, 52 (23%) had died at 30-days following admission. COVID-19 related respiratory failure (75%) and multiorgan failure (12%) were the commonest causes of death recorded. Age ≥ 70 years (p &lt; 0.001), past medical history of cognitive impairment (p ≤ 0.001), previous delirium (p &lt; 0.001), clinical frailty score &gt; 3 (p &lt; 0.001), hypertension (p &lt; 0.05), heart failure (p &lt; 0.01), national early warning score (NEWS) &gt; 4 (p &lt; 0.01), positive CXR (p &lt; 0.01), and subsequent positive COVID-19 swab (p ≤ 0.001) were associated with 30-day mortality. CRP &gt; 80 mg/L (p &lt; 0.05), albumin &lt; 35 g/L (p &lt; 0.05), peri-operative Glasgow Prognostic Score (poGPS) (p &lt; 0.05), lymphocytes &lt; 1.5 109/l (p &lt; 0.05), neutrophil lymphocyte ratio (p ≤ 0.001), haematocrit (&lt; 0.40 L/L (male)/ &lt; 0.37 L/L (female)) (p ≤ 0.01), urea &gt; 7.5 mmol/L (p &lt; 0.001), creatinine &gt; 130 mmol/L (p &lt; 0.05) and elevated urea: albumin ratio (&lt; 0.001) were also associated with 30-day mortality. On multivariate analysis, age ≥ 70 years (O.R. 3.9, 95% C.I. 1.4–8.2, p &lt; 0.001), past medical history of heart failure (O.R. 3.3, 95% C.I. 1.2–19.3, p &lt; 0.05), NEWS &gt; 4 (O.R. 2.4, 95% C.I. 1.1–4.4, p &lt; 0.05), positive initial CXR (O.R. 0.4, 95% C.I. 0.2–0.9, p &lt; 0.05) and poGPS (O.R. 2.3, 95% C.I. 1.1–4.4, p &lt; 0.05) remained independently associated with 30-day mortality. Among those patients who tested PCR COVID-19 positive (n = 122), age ≥ 70 years (O.R. 4.7, 95% C.I. 2.0—11.3, p &lt; 0.001), past medical history of heart failure (O.R. 4.4, 95% C.I. 1.2–20.5, p &lt; 0.05) and poGPS (O.R. 2.4, 95% C.I. 1.1–5.1, p &lt; 0.05) remained independently associated with 30-days mortality. Conclusion: Age ≥ 70 years and severe systemic inflammation as measured by the peri-operative Glasgow Prognostic Score are independently associated with 30-day mortality among patients admitted to hospital with COVID-19 infection
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