Enhanced Detection of Community-Acquired Pneumonia Pathogens With the BioFire® Pneumonia FilmArray® Panel.
Enhanced Detection of Community-Acquired Pneumonia Pathogens With the BioFire® Pneumonia FilmArray® Panel.
复制标题
利用BioFire®肺炎FilmArray®面板增强社区获得性肺炎病原体的检测
DOI:
10.1016/j.diagmicrobio.2020.115246
复制
发表时间:
2021-03
影响因子:
2.9
通讯作者:
Heffner J
中科院分区:
文献类型:
--
作者:
Gilbert DN;Leggett JE;Wang L;Ferdosian S;Gelfer GD;Johnston ML;Footer BW;Hendrickson KW;Park HS;White EE;Heffner J
Although most observational studies identify viral or bacterial pathogens in 50% or less of patients hospitalized with community-acquired pneumonia (CAP), we previously demonstrated that a multi-test bundle (MTB) detected a potential pathogen in 73% of patients. This study compares detection rates for potential pathogens with the MTB versus the Biofire® Pneumonia FilmArray® panel (BPFA) multiplex PCR platform and presents an approach for integrating BPFA results as a foundation for subsequent antibiotic stewardship (AS) activities. Between January 2017 to March 2018, all patients admitted for CAP were enrolled. Patients were considered evaluable if all elements of the MTB and the BPFA were completed, and they met other a priori inclusion criteria. The primary endpoint was the percentage of potential pathogens detected using the MTB (8 viral and 6 bacterial targets) versus the BPFA (8 viral and 18 bacterial targets). Blood and sputum cultures were performed on all patients. Two or more procalcitonin (PCT) levels assisted clinical assessments as to whether detected bacteria were invading or colonizing. Of 585 enrolled patients, 274 were evaluable. A potential viral pathogen was detected in 40.5% with MTB versus 60.9% of patients with BPFA with an odds ratio (95% CI) of 9.00 (4.12 to 23.30) p<0.01. A potential bacterial pathogen was identified in 66.4% with the MTB vs 75.5% with the BPFA odds ratio (95% CI) of 2.09 (1.24 to 3.59), p 0.003). Low PCT levels helped identify detected bacteria as colonizers.
登录
查看更多内容
DOI:
10.1016/j.diagmicrobio.2016.06.008
发表时间:
2016-09
影响因子:
2.9
作者:
Gilbert D;Gelfer G;Wang L;Myers J;Bajema K;Johnston M;Leggett J
通讯作者:
Leggett J
影响因子:
6.4
作者:
Gilbert, David N.
通讯作者:
Gilbert, David N.
影响因子:
3.7
作者:
Mewes, Janne C.;Pulia, Michael S.;Steuten, Lotte M.
通讯作者:
Steuten, Lotte M.
DOI:
10.1093/cid/cix317
发表时间:
2017-07-15
期刊:
Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
影响因子:
--
作者:
Self WH;Balk RA;Grijalva CG;Williams DJ;Zhu Y;Anderson EJ;Waterer GW;Courtney DM;Bramley AM;Trabue C;Fakhran S;Blaschke AJ;Jain S;Edwards KM;Wunderink RG
通讯作者:
Wunderink RG
DOI:
10.1016/j.jinf.2013.03.003
发表时间:
2013-07
期刊:
The Journal of infection
影响因子:
--
作者:
Musher DM;Roig IL;Cazares G;Stager CE;Logan N;Safar H
通讯作者:
Safar H