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Items: 13

1.

Assessing Preventable Harms in the Intensive Care Unit: Data From a Tertiary Care Academic Medical Institution.

Sung N, Aldrich JM, Shimabukuro DW, Matthay MA, Liu KD.

Am J Med Qual. 2018 May/Jun;33(3):329. doi: 10.1177/1062860618758609. Epub 2018 Feb 23. No abstract available.

2.

Effect of a machine learning-based severe sepsis prediction algorithm on patient survival and hospital length of stay: a randomised clinical trial.

Shimabukuro DW, Barton CW, Feldman MD, Mataraso SJ, Das R.

BMJ Open Respir Res. 2017 Nov 9;4(1):e000234. doi: 10.1136/bmjresp-2017-000234. eCollection 2017.

3.

Multicentre validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU.

Mao Q, Jay M, Hoffman JL, Calvert J, Barton C, Shimabukuro D, Shieh L, Chettipally U, Fletcher G, Kerem Y, Zhou Y, Das R.

BMJ Open. 2018 Jan 26;8(1):e017833. doi: 10.1136/bmjopen-2017-017833.

4.

Relationship Between a Sepsis Intervention Bundle and In-Hospital Mortality Among Hospitalized Patients: A Retrospective Analysis of Real-World Data.

Prasad PA, Shea ER, Shiboski S, Sullivan MC, Gonzales R, Shimabukuro D.

Anesth Analg. 2017 Aug;125(2):507-513. doi: 10.1213/ANE.0000000000002085.

PMID:
28514322
5.

Cost and mortality impact of an algorithm-driven sepsis prediction system.

Calvert J, Hoffman J, Barton C, Shimabukuro D, Ries M, Chettipally U, Kerem Y, Jay M, Mataraso S, Das R.

J Med Econ. 2017 Jun;20(6):646-651. doi: 10.1080/13696998.2017.1307203. Epub 2017 Apr 3.

PMID:
28294646
6.

Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approach.

Desautels T, Calvert J, Hoffman J, Jay M, Kerem Y, Shieh L, Shimabukuro D, Chettipally U, Feldman MD, Barton C, Wales DJ, Das R.

JMIR Med Inform. 2016 Sep 30;4(3):e28.

7.

Critical assessment of the pH of children's soap.

Mendes BR, Shimabukuro DM, Uber M, Abagge KT.

J Pediatr (Rio J). 2016 May-Jun;92(3):290-5. doi: 10.1016/j.jped.2015.08.009. Epub 2016 Feb 1.

8.

Fresh and stored red blood cell transfusion equivalently induce subclinical pulmonary gas exchange deficit in normal humans.

Weiskopf RB, Feiner J, Toy P, Twiford J, Shimabukuro D, Lieberman J, Looney MR, Lowell CA, Gropper MA.

Anesth Analg. 2012 Mar;114(3):511-9. doi: 10.1213/ANE.0b013e318241fcd5. Epub 2012 Jan 19.

9.

Special article: rescue therapies for acute hypoxemic respiratory failure.

Liu LL, Aldrich JM, Shimabukuro DW, Sullivan KR, Taylor JM, Thornton KC, Gropper MA.

Anesth Analg. 2010 Sep;111(3):693-702. doi: 10.1213/ANE.0b013e3181e9c356. Epub 2010 Jul 12. Review.

PMID:
20624836
10.

Noisy mechanical ventilation: listen to the melody.

Shimabukuro DW, Gropper MA.

Anesthesiology. 2009 Feb;110(2):214-5. doi: 10.1097/ALN.0b013e3181945b63. No abstract available.

PMID:
19194146
11.

Effects of monoclonal anti-PcrV antibody on Pseudomonas aeruginosa-induced acute lung injury in a rat model.

Faure K, Fujimoto J, Shimabukuro DW, Ajayi T, Shime N, Moriyama K, Spack EG, Wiener-Kronish JP, Sawa T.

J Immune Based Ther Vaccines. 2003 Aug 13;1(1):2.

12.

Injury and repair in lung and airways.

Shimabukuro DW, Sawa T, Gropper MA.

Crit Care Med. 2003 Aug;31(8 Suppl):S524-31. Review.

PMID:
12907882
13.

O-antigen serotypes and type III secretory toxins in clinical isolates of Pseudomonas aeruginosa.

Faure K, Shimabukuro D, Ajayi T, Allmond LR, Sawa T, Wiener-Kronish JP.

J Clin Microbiol. 2003 May;41(5):2158-60.

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