Výsledky vyhledávání - "Christopher E, Gillies"

Akademický článek

Pharmacometabolomics identifies candidate predictor metabolites of an L‐carnitine treatment mortality benefit in septic shock

Autor: Michael A. Puskarich, Theodore S. Jennaro, Christopher E. Gillies, Charles R. Evans, Alla Karnovsky, Cora E. McHugh, Thomas L. Flott, Alan E. Jones, Kathleen A. Stringer, for the RACE Investigators

Publikováno v: Clinical and Translational Science, Vol 14, Iss 6, Pp 2288-2299 (2021)

Abstract Sepsis‐induced metabolic dysfunction contributes to organ failure and death. L‐carnitine has shown promise for septic shock, but a recent phase II study of patients with vasopressor‐dependent septic shock demonstrated a non‐significa

Externí odkaz: https://doaj.org/article/6ce1ffd631774c4e9df4a19cf077f90d

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Akademický článek

Breath analysis for detection and trajectory monitoring of acute respiratory distress syndrome in swine

Autor: Ruchi Sharma, Menglian Zhou, Mohamad Hakam Tiba, Brendan M. McCracken, Robert P. Dickson, Christopher E. Gillies, Michael W. Sjoding, Jean A. Nemzek, Kevin R. Ward, Kathleen A. Stringer, Xudong Fan

Publikováno v: ERJ Open Research, Vol 8, Iss 1 (2022)

Despite the enormous impact on human health, acute respiratory distress syndrome (ARDS) is poorly defined, and its timely diagnosis is difficult, as is tracking the course of the syndrome. The objective of this pilot study was to explore the utility

Externí odkaz: https://doaj.org/article/24d4f97b95a0456faa77f4d986eaed62

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Akademický článek

Deep learning to detect acute respiratory distress syndrome on chest radiographs: a retrospective study with external validation

Autor: Michael W Sjoding, MD, Daniel Taylor, MS, Jonathan Motyka, MS, Elizabeth Lee, MD, Ivan Co, MD, Dru Claar, MD, Jakob I McSparron, MD, Sardar Ansari, PhD, Meeta Prasad Kerlin, MD, John P Reilly, MD, Michael G S Shashaty, MD, Brian J Anderson, MD, Tiffanie K Jones, MD, Harrison M Drebin, MD, Caroline A G Ittner, MD, Nuala J Meyer, MD, Theodore J Iwashyna, ProfMD, Kevin R Ward, ProfMD, Christopher E Gillies, PhD

Publikováno v: The Lancet: Digital Health, Vol 3, Iss 6, Pp e340-e348 (2021)

Summary: Background: Acute respiratory distress syndrome (ARDS) is a common, but under-recognised, critical illness syndrome associated with high mortality. An important factor in its under-recognition is the variability in chest radiograph interpret

Externí odkaz: https://doaj.org/article/2c6fbf852b684533811cd06406bd1a94

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Akademický článek

A Multilevel Bayesian Approach to Improve Effect Size Estimation in Regression Modeling of Metabolomics Data Utilizing Imputation with Uncertainty

Autor: Christopher E. Gillies, Theodore S. Jennaro, Michael A. Puskarich, Ruchi Sharma, Kevin R. Ward, Xudong Fan, Alan E. Jones, Kathleen A. Stringer

Publikováno v: Metabolites, Vol 10, Iss 8, p 319 (2020)

To ensure scientific reproducibility of metabolomics data, alternative statistical methods are needed. A paradigm shift away from the p-value toward an embracement of uncertainty and interval estimation of a metabolite’s true effect size may lead t

Externí odkaz: https://doaj.org/article/7bd5a4ac2a32402ea6913bafb9d4eb74

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Breath analysis for detection and trajectory monitoring of acute respiratory distress syndrome in swine

Autor: Mohamad H. Tiba, Kevin R. Ward, Michael W. Sjoding, Kathleen A. Stringer, Robert P. Dickson, Jean A. Nemzek, Christopher E. Gillies, Brendan M. McCracken, Menglian Zhou, Xudong Fan, Ruchi Sharma

Publikováno v: ERJ Open Research. 8:00154-2021

Despite the enormous impact on human health, acute respiratory distress syndrome (ARDS) is ill-defined, and its timely diagnosis is difficult, as is tracking the course of the syndrome. The objective of this pilot study was to explore the utility of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed88d2aa999e8b7ca8ba732f891762bb
https://doi.org/10.1183/23120541.00154-2021

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Pharmacometabolomics identifies candidate predictor metabolites of an L‐carnitine treatment mortality benefit in septic shock

Autor: Alla Karnovsky, Alan E. Jones, Cora McHugh, Thomas L. Flott, Christopher E. Gillies, Charles R. Evans, Michael A. Puskarich, Kathleen A. Stringer, Theodore S. Jennaro, Race Trial Investigators

Publikováno v: Clinical and Translational Science, Vol 14, Iss 6, Pp 2288-2299 (2021)
Clinical and Translational Science

Sepsis‐induced metabolic dysfunction contributes to organ failure and death. L‐carnitine has shown promise for septic shock, but a recent phase II study of patients with vasopressor‐dependent septic shock demonstrated a non‐significant reduct

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2edab4cd04a941acffc3c754d56c2779
https://doi.org/10.1111/cts.13088

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Disruption of the exocyst induces podocyte loss and dysfunction

Autor: Xiaofeng Zuo, Bushra Rahman, Matthew G. Sampson, Ehtesham Arif, Ben Fogelgren, Joshua H. Lipschutz, Deepak Nihalani, Yujing Dang, Christopher E. Gillies, Damian Fermin, Pankaj Srivastava, Ashish K. Solanki

Publikováno v: J Biol Chem

Although the slit diaphragm proteins in podocytes are uniquely organized to maintain glomerular filtration assembly and function, little is known about the underlying mechanisms that participate in trafficking these proteins to the correct location f

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42d1f5446e97cea6acdb58a6a2e6748a
https://doi.org/10.1074/jbc.ra119.008362

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Deep learning to detect acute respiratory distress syndrome on chest radiographs: a retrospective study with external validation

Autor: Christopher E. Gillies, Caroline A. G. Ittner, Jakob I. McSparron, Michael W. Sjoding, Kevin R. Ward, Theodore J. Iwashyna, Michael G.S. Shashaty, Brian J. Anderson, Meeta Prasad Kerlin, Nuala J. Meyer, Dru Claar, Tiffanie K. Jones, Daniel Francis Taylor, Sardar Ansari, Harrison M Drebin, Ivan Co, John P. Reilly, Jonathan Motyka, Elizabeth A. Lee

Publikováno v: The Lancet: Digital Health, Vol 3, Iss 6, Pp e340-e348 (2021)
The Lancet. Digital health

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0dfb52bd34a74a39efcd2e0edaf76a8
http://www.sciencedirect.com/science/article/pii/S258975002100056X

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Predicting Intensive Care Transfers and Other Unforeseen Events: Analytic Model Validation Study and Comparison to Existing Methods

Autor: Brandon C. Cummings, Michael R. Mathis, Robert P. Dickson, Kevin R. Ward, Michael W. Sjoding, Andrew J Admon, Jakob I. McSparron, Richard P. Medlin, Ross Blank, Steven L. Kronick, Karandeep Singh, Christopher E. Gillies, Lena M. Napolitano, Pauline K. Park, Guan Wang, Sardar Ansari, Jonathan Motyka

Publikováno v: JMIR Medical Informatics, Vol 9, Iss 4, p e25066 (2021)
JMIR Medical Informatics

Background COVID-19 has led to an unprecedented strain on health care facilities across the United States. Accurately identifying patients at an increased risk of deterioration may help hospitals manage their resources while improving the quality of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04f3e359e6d3980db9639e8af9a6368d
https://medinform.jmir.org/2021/4/e25066

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