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Effect of Algorithm-Based Therapy vs Usual Care on Clinical Success and Serious Adverse Events in Patients with Staphylococcal Bacteremia: A Randomized Clinical Trial.
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.
Afiliação
  • Holland TL; Duke University Medical Center, Durham, North Carolina.
  • Raad I; Duke Clinical Research Institute, Durham, North Carolina.
  • Boucher HW; The University of Texas MD Anderson Cancer Center, Houston.
  • Anderson DJ; Tufts Medical Center, Boston, Massachusetts.
  • Cosgrove SE; Duke University Medical Center, Durham, North Carolina.
  • Aycock PS; Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Baddley JW; Duke Clinical Research Institute, Durham, North Carolina.
  • Chaftari AM; University of Alabama at Birmingham.
  • Chow SC; The University of Texas MD Anderson Cancer Center, Houston.
  • Chu VH; Duke Clinical Research Institute, Durham, North Carolina.
  • Carugati M; Duke University Medical Center, Durham, North Carolina.
  • Cook P; Duke University Medical Center, Durham, North Carolina.
  • Corey GR; San Gerardo Hospital, Monza, Italy.
  • Crowley AL; Brody School of Medicine, East Carolina University, Greenville, North Carolina.
  • Daly J; Duke University Medical Center, Durham, North Carolina.
  • Gu J; Duke University Medical Center, Durham, North Carolina.
  • Hachem R; University of Massachusetts Medical School, Worcester.
  • Horton J; Duke Clinical Research Institute, Durham, North Carolina.
  • Jenkins TC; The University of Texas MD Anderson Cancer Center, Houston.
  • Levine D; Carolinas Medical Center, Charlotte, North Carolina.
  • Miro JM; Denver Health, Denver, Colorada.
  • Pericas JM; Wayne State University, Detroit, Michigan.
  • Riska P; Hospital Clinic-IDIBAPS, University of Barcelona, Barcelona, Spain.
  • Rubin Z; Hospital Clinic-IDIBAPS, University of Barcelona, Barcelona, Spain.
  • Rupp ME; Albert Einstein College of Medicine, Bronx, New York.
  • Schrank J; David Geffen School of Medicine, University of California at Los Angeles.
  • Sims M; University of Nebraska Medical Center, Omaha.
  • Wray D; Greenville Health System, Greenville, South Carolina.
  • Zervos M; Beaumont Health System, Royal Oak, Michigan.
  • Fowler VG; Medical University of South Carolina, Charleston.
JAMA ; 320(12): 1249-1258, 2018 09 25.
Article em En | MEDLINE | ID: mdl-30264119
Importance: 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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Guideline / Prognostic_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Guideline / Prognostic_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2018 Tipo de documento: Article