Browsing by Author "Sims, Matthew"
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Item Open Access Effect of Algorithm-Based Therapy vs Usual Care on Clinical Success and Serious Adverse Events in Patients with Staphylococcal Bacteremia: A Randomized Clinical Trial.(JAMA, 2018-09) Holland, Thomas L; Raad, Issam; Boucher, Helen W; Anderson, Deverick J; Cosgrove, Sara E; Aycock, P Suzanne; Baddley, John W; Chaftari, Anne-Marie; Chow, Shein-Chung; Chu, Vivian H; Carugati, Manuela; Cook, Paul; Corey, G Ralph; Crowley, Anna Lisa; Daly, Jennifer; Gu, Jiezhun; Hachem, Ray; Horton, James; Jenkins, Timothy C; Levine, Donald; Miro, Jose M; Pericas, Juan M; Riska, Paul; Rubin, Zachary; Rupp, Mark E; Schrank, John; Sims, Matthew; Wray, Dannah; Zervos, Marcus; Fowler, Vance G; Staphylococcal Bacteremia InvestigatorsImportance
The appropriate duration of antibiotics for staphylococcal bacteremia is unknown.Objective
To test whether an algorithm that defines treatment duration for staphylococcal bacteremia vs standard of care provides noninferior efficacy without increasing severe adverse events.Design, setting, and participants
A randomized trial involving adults with staphylococcal bacteremia was conducted at 16 academic medical centers in the United States (n = 15) and Spain (n = 1) from April 2011 to March 2017. Patients were followed up for 42 days beyond end of therapy for those with Staphylococcus aureus and 28 days for those with coagulase-negative staphylococcal bacteremia. Eligible patients were 18 years or older and had 1 or more blood cultures positive for S aureus or coagulase-negative staphylococci. Patients were excluded if they had known or suspected complicated infection at the time of randomization.Interventions
Patients were randomized to algorithm-based therapy (n = 255) or usual practice (n = 254). Diagnostic evaluation, antibiotic selection, and duration of therapy were predefined for the algorithm group, whereas clinicians caring for patients in the usual practice group had unrestricted choice of antibiotics, duration, and other aspects of clinical care.Main outcomes and measures
Coprimary outcomes were (1) clinical success, as determined by a blinded adjudication committee and tested for noninferiority within a 15% margin; and (2) serious adverse event rates in the intention-to-treat population, tested for superiority. The prespecified secondary outcome measure, tested for superiority, was antibiotic days among per-protocol patients with simple or uncomplicated bacteremia.Results
Among the 509 patients randomized (mean age, 56.6 [SD, 16.8] years; 226 [44.4%] women), 480 (94.3%) completed the trial. Clinical success was documented in 209 of 255 patients assigned to algorithm-based therapy and 207 of 254 randomized to usual practice (82.0% vs 81.5%; difference, 0.5% [1-sided 97.5% CI, -6.2% to ∞]). Serious adverse events were reported in 32.5% of algorithm-based therapy patients and 28.3% of usual practice patients (difference, 4.2% [95% CI, -3.8% to 12.2%]). Among per-protocol patients with simple or uncomplicated bacteremia, mean duration of therapy was 4.4 days for algorithm-based therapy vs 6.2 days for usual practice (difference, -1.8 days [95% CI, -3.1 to -0.6]).Conclusions and relevance
Among patients with staphylococcal bacteremia, the use of an algorithm to guide testing and treatment compared with usual care resulted in a noninferior rate of clinical success. Rates of serious adverse events were not significantly different, but interpretation is limited by wide confidence intervals. Further research is needed to assess the utility of the algorithm.Trial registration
ClinicalTrials.gov Identifier: NCT01191840.Item Open Access Prophetic EU: Prospective Identification of Pneumonia in Hospitalized Patients in the Intensive Care Unit–A Comparison of European and United States CohortsBergin, Stephen P; Calvert, Sara B; Farley, John; Sun, Jie-Lena; Chiswell, Karen; Dieperink, Willem; Kluytmans, Jan; Lopez-Delgado, Juan Carlos; Leon-Lopez, Rafael; Zervos, Marcus J; Kollef, Marin H; Sims, Matthew; Kabchi, Badih A; Rubin, Daniel; Santiago, Jonas; Natarajan, Mukil; Tenaerts, Pamela; Fowler, Vance G; Holland, Thomas L; Bonten, Marc J; Hullegie, Sebastiaan JItem Open Access PROPHETIC: Prospective Identification of Pneumonia in Hospitalized Patients in the Intensive Care Unit.(Chest, 2020-06-29) Bergin, Stephen P; Coles, Adrian; Calvert, Sara B; Farley, John; Powers, John H; Zervos, Marcus J; Sims, Matthew; Kollef, Marin H; Durkin, Michael J; Kabchi, Badih A; Donnelly, Helen K; Bardossy, Ana Cecilia; Greenshields, Claire; Rubin, Daniel; Sun, Jie-Lena; Chiswell, Karen; Santiago, Jonas; Gu, Peidi; Tenaerts, Pamela; Fowler, Vance G; Holland, Thomas LBACKGROUND:Pneumonia is the leading infection-related cause of death. Using simple clinical criteria and contemporary epidemiology to identify patients at high risk of nosocomial pneumonia should enhance prevention efforts and facilitate development of new treatments in clinical trials. RESEARCH QUESTION:What are the clinical criteria and contemporary epidemiology trends helpful in identifying patients at high risk of nosocomial pneumonia? STUDY DESIGN AND METHODS:Within the intensive care units of 28 United States hospitals, we conducted a prospective cohort study among adults hospitalized more than 48 hours and considered high risk for pneumonia (defined as treatment with invasive or noninvasive ventilatory support or high levels of supplemental oxygen). We estimated the proportion of high-risk patients developing nosocomial pneumonia. Using multivariable logistic regression, we identified patient characteristics and treatment exposures associated with increased risk of pneumonia development during the intensive care unit admission. RESULTS:Between February 6, 2016 and October 7, 2016, 4613 high-risk patients were enrolled. Among 1464/4613 (32%) high-risk patients treated for possible nosocomial pneumonia, 537/1464 (37%) met the study pneumonia definition. Among high-risk patients, a multivariable logistic model was developed to identify key patient characteristics and treatment exposures associated with increased risk of nosocomial pneumonia development (c-statistic 0.709, 95% confidence interval 0.686 to 0.731). Key factors associated with increased odds of nosocomial pneumonia included an admission diagnosis of trauma or cerebrovascular accident, receipt of enteral nutrition, documented aspiration risk, and receipt of systemic antibacterials within the preceding 90 days. INTERPRETATION:Treatment for nosocomial pneumonia is common among intensive care unit patients receiving high levels of respiratory support, yet more than half of patients treated do not fulfill standard diagnostic criteria for pneumonia. Application of simple clinical criteria may improve the feasibility of clinical trials of pneumonia prevention and treatment by facilitating prospective identification of patients at highest risk.