Sequential, Multiple-Assignment, Randomized Trials for COMparing Personalized Antibiotic StrategieS (SMART-COMPASS)

Publication Description
Abstract Patient management is not based on a single decision. Rather, it is dynamic: based on a sequence of decisions, with therapeutic adjustments made over time. Adjustments are personalized: tailored to individual patients as new information becomes available. However, strategies allowing for such adjustments are infrequently studied. Traditional antibiotic trials are often nonpragmatic, comparing drugs for definitive therapy when drug susceptibilities are known. COMparing Personalized Antibiotic StrategieS (COMPASS) is a trial design that compares strategies consistent with clinical practice. Strategies are decision rules that guide empiric and definitive therapy decisions. Sequential, multiple-assignment, randomized (SMART) COMPASS allows evaluation when there are multiple, definitive therapy options. SMART COMPASS is pragmatic, mirroring clinical, antibiotic-treatment decision-making and addressing the most relevant issue for treating patients: identification of the patient-management strategy that optimizes the ultimate patient outcomes. SMART COMPASS is valuable in the setting of antibiotic resistance, when therapeutic adjustments may be necessary due to resistance. Patient management is dynamic, with adjustments to therapy made as new information arises. Evaluating those strategies of patient treatment allowing for therapeutic adjustments is relevant for clinical practice. SMART COMPASS is an approach to clinical trials that evaluates clinical strategies.

Primary Author
Evans,Scott R.
Follmann,Dean
Liu,Ying
Holland,Thomas
Doernberg,Sarah B.
Rouphael,Nadine
Hamasaki,Toshimitsu
Jiang,Yunyun
Lok,Judith J.
Tran,Thuy Tien T.
Harris,Anthony D.
Fowler,Vance G.
Boucher,Helen
Kreiswirth,Barry N.
Bonomo,Robert A.
Van Duin,David
Paterson,David L.
Chambers,Henry

Volume
68

Issue
11

Start Page
1961

Other Pages
1967

Publisher
Oxford University Press

URL
https://www.ncbi.nlm.nih.gov/pubmed/30351426

PMID
30351426



Reference Type
Journal Article

Periodical Full
Clinical infectious diseases

Publication Year
2019

Publication Date
May 17,

Place of Publication
US

ISSN/ISBN
1058-4838

Document Object Index
10.1093/cid/ciy912