Antibiotic de-escalation: observational causal inference and culture dependence

Intensive Care Medicine

Volumn 42, Issue 10, 2016, Pages 1647-1648

  Kitsios, Georgios D ^a   Morris, Alison ^a,b   McVerry, Bryan J ^a  

^a UNIVERSITY OF PITTSBURGH   (United States)

^b UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANTIBIOTIC AGENT; BACTERIAL DNA; ANTIINFECTIVE AGENT;

ANTIBIOTIC THERAPY; ARTICLE; BACTERIUM CULTURE; HUMAN; NONHUMAN; INTENSIVE CARE UNIT; SEPSIS;

ANTI-BACTERIAL AGENTS; HUMANS; INTENSIVE CARE UNITS; SEPSIS;

EID: 84978641595     PISSN: 03424642     EISSN: 14321238     Source Type: Journal    
DOI: 10.1007/s00134-016-4443-z     Document Type: Article

References (5)

1. De Bus L, Denys W, Catteeuw J et al (2016) Impact of de-escalation of beta-lactam antibiotics on the emergence of antibiotic resistance in ICU patients: a retrospective observational study. Intensive Care Med 42:1029–1039. doi:10.1007/s00134-016-4301-z
2. Wong A (2016) Antimicrobial stewardship: Do NOT de-escalate. http://www.esicm.org/news-article/ARTICLE-REVIEW-antimicrobial-stewardship-ICM-JUNE%202016. Accessed 28 Jun 2016
3. Leone M, Bechis C, Baumstarck K et al (2014) De-escalation versus continuation of empirical antimicrobial treatment in severe sepsis: a multicenter non-blinded randomized noninferiority trial. Intensive Care Med 40:1399–1408. doi:10.1007/s00134-014-3411-8
4. Kitsios GD, Dahabreh IJ, Callahan S et al (2015) Can we trust observational studies using propensity scores in the critical care literature? A systematic comparison with randomized clinical trials. Crit Care Med 43:1870–1879. doi:10.1097/CCM.0000000000001135
5. Judge K, Harris SR, Reuter S et al (2015) Early insights into the potential of the Oxford Nanopore MinION for the detection of antimicrobial resistance genes. J Antimicrob Chemother 70:2775–2778. doi:10.1093/jac/dkv206