Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Erina Ghosh"'
Autor:
Ting Feng, David P. Noren, Chaitanya Kulkarni, Sara Mariani, Claire Zhao, Erina Ghosh, Dennis Swearingen, Joseph Frassica, Daniel McFarlane, Bryan Conroy
Publikováno v:
Frontiers in Medicine, Vol 10 (2023)
BackgroundHealthcare-associated infection (HAI) remains a significant risk for hospitalized patients and a challenging burden for the healthcare system. This study presents a clinical decision support tool that can be used in clinical workflows to pr
Externí odkaz:
https://doaj.org/article/5f13ba68820046e9a5565f8abe95ff9b
Autor:
Ashish K. Khanna, Takahiro Kinoshita, Annamalai Natarajan, Emma Schwager, Dustin D. Linn, Junzi Dong, Erina Ghosh, Francesco Vicario, Kamal Maheshwari
Publikováno v:
Annals of Intensive Care, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract Background Intensivists target different blood pressure component values to manage intensive care unit (ICU) patients with sepsis. We aimed to evaluate the relationship between individual blood pressure components and organ dysfunction in cr
Externí odkaz:
https://doaj.org/article/a838f2bf71b04b78836e070377e71df2
Publikováno v:
Data in Brief, Vol 16, Iss , Pp 612-616 (2018)
Vitals signs are measured at scheduled intervals by nurses in typical general wards. Vital signs may be measured more frequently if the patient condition deteriorates. In many units, the vital signs measurement frequency for some patients is differen
Externí odkaz:
https://doaj.org/article/64f97d4abaa442faa5f438313d811fac
Autor:
Dennis Swearingen, Gregory Boverman, Kristen Tgavalekos, David P. Noren, Shreyas Ravindranath, Erina Ghosh, Minnan Xu, Lisa Wondrely, Pam Thompson, J. David Cowden, Corneliu Antonescu
Publikováno v:
Journal of Clinical Medicine, Vol 10, Iss 19, p 4605 (2021)
Coronavirus Disease 2019 (COVID-19) is an international health crisis. In this article, we report on patient characteristics associated with care transitions of: 1) hospital admission from the emergency department (ED) and 2) escalation to the intens
Externí odkaz:
https://doaj.org/article/62e3a85e1a0a4c7b8b4d326191b178d0
Autor:
Simeng Zhu, Thomas Morrell, Astrid Apor, Béla Merkely, Hajnalka Vágó, Attila Tóth, Erina Ghosh, Sándor J. Kovács
Publikováno v:
Journal of Exercise Science & Fitness, Vol 12, Iss 2, Pp 88-95 (2014)
Athletic training can result in increased left ventricular (LV) wall thickness, termed physiologic hypertrophy (PhH). By contrast, pathologic hypertrophy (PaH) can be due to hypertension, aortic stenosis, or genetic mutation causing hypertrophic card
Externí odkaz:
https://doaj.org/article/3089292e623643939110813f70ce25b5
Autor:
Emma Schwager, Erina Ghosh, Larry Eshelman, Kalyan S. Pasupathy, Erin F. Barreto, Kianoush Kashani
Publikováno v:
Journal of Critical Care. 75:154278
Autor:
Corneliu Antonescu, Pam Thompson, Lisa Wondrely, J David Cowden, Dennis Swearingen, Shreyas Ravindranath, Kristen Tgavalekos, Erina Ghosh, Xu Minnan, David P. Noren, Gregory Boverman
Publikováno v:
Journal of Clinical Medicine
Volume 10
Issue 19
Journal of Clinical Medicine, Vol 10, Iss 4605, p 4605 (2021)
Volume 10
Issue 19
Journal of Clinical Medicine, Vol 10, Iss 4605, p 4605 (2021)
Coronavirus Disease 2019 (COVID-19) is an international health crisis. In this article, we report on patient characteristics associated with care transitions of: 1) hospital admission from the emergency department (ED) and 2) escalation to the intens
Autor:
Kianoush Kashani, Kalyan S. Pasupathy, Stephanie Lanius, Erin F. Barreto, Erina Ghosh, Larry Eshelman, Emma Schwager
Publikováno v:
American journal of nephrology. 52(9)
Introduction: Comparing current to baseline serum creatinine is important in detecting acute kidney injury. In this study, we report a regression-based machine learning model to predict baseline serum creatinine. Methods: We developed and internally
Publikováno v:
Mayo Clinic Proceedings. 94:783-792
Objective To develop and validate a prediction model of acute kidney injury (AKI) of any severity that could be used for AKI surveillance and management to improve clinical outcomes. Patients and Methods This retrospective cohort study was conducted
Autor:
John Hadfield, Christopher P Bourdeaux, John Warburton, Erina Ghosh, Matthew Thomas, Patel Payaal, Louis Atallah, Jon Rivers, Krishnamoorthy Palanisamy, Timothy Gould
Publikováno v:
Critical Care
Background Acute kidney injury (AKI) affects a large proportion of the critically ill and is associated with worse patient outcomes. Early identification of AKI can lead to earlier initiation of supportive therapy and better management. In this study