Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Kianoush B. Kashani"'
Autor:
Mariam Charkviani, MD, Hong Hieu Truong, MD, Nasrin Nikravangolsefid, MD, Jacob Ninan, MD, Larry J. Prokop, Swetha Reddy, MBBS, MD, Kianoush B. Kashani, MD, Juan Pablo Domecq Garces, MD
Publikováno v:
Critical Care Explorations, Vol 6, Iss 2, p e1054 (2024)
OBJECTIVES:. Conduct a systematic review and meta-analysis to assess prevalence and timing of acute kidney injury (AKI) development after acute respiratory distress syndrome (ARDS) and its association with mortality. DATA SOURCES:. Ovid MEDLINE(R), O
Externí odkaz:
https://doaj.org/article/197861aca79045598f5a911e47a104ba
Autor:
Hui Xiang, Yuqian Zhao, Siqing Ma, Qi Li, Kianoush B. Kashani, Zhiyong Peng, Jianguo Li, Bo Hu
Publikováno v:
Journal of Intensive Medicine, Vol 3, Iss 4, Pp 335-344 (2023)
Background: The benefits of early use of norepinephrine in endotoxemic shock remain unknown. We aimed to elucidate the effects of different doses of norepinephrine in early-stage endotoxemic shock using a clinically relevant large animal model. Metho
Externí odkaz:
https://doaj.org/article/909561b94306437983929633c5acf28c
Autor:
Xiaolan Gao, Jacob Ninan, John K. Bohman, Jason K. Viehman, Chang Liu, Danette Bruns, Xuan Song, Xinyan Liu, Suraj M. Yalamuri, Kianoush B. Kashani
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract To assess the relationship between acute kidney injury (AKI) with outcomes among patients requiring extracorporeal membrane oxygenation (ECMO). This is a single-center, retrospective cohort study of adult patients admitted to intensive care
Externí odkaz:
https://doaj.org/article/62d189946d0a4298bc3903b18c1d6968
Autor:
Xinyan Liu, Erin F. Barreto, Yue Dong, Chang Liu, Xiaolan Gao, Mohammad Samie Tootooni, Xuan Song, Kianoush B. Kashani
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 23, Iss 1, Pp 1-9 (2023)
Abstract Background Artificial intelligence (AI) tools are more effective if accepted by clinicians. We developed an AI-based clinical decision support system (CDSS) to facilitate vancomycin dosing. This qualitative study assesses clinicians' percept
Externí odkaz:
https://doaj.org/article/ed66a0633f1143ee91915d0803eb35dd
Autor:
Heather P. May, Joseph R. Herges, Brenda K. Anderson, Gregory J. Hanson, Kianoush B. Kashani, Andrea G. Kattah, Kristin C. Cole, Rozalina G. McCoy, Laurie A. Meade, Andrew D. Rule, Diana J. Schreier, Angeliki G. Tinaglia, Erin F. Barreto
Publikováno v:
Kidney Medicine, Vol 5, Iss 12, Pp 100734- (2023)
Rationale & Objective: Innovative models are needed to address significant gaps in kidney care follow-up for acute kidney injury (AKI) survivors. Study Design: This quasi-experimental pilot study reports the feasibility of the AKI in Care Transitions
Externí odkaz:
https://doaj.org/article/8735542ecbfc42c29d251e76b6ac8cd4
Autor:
Jacob C. Jentzer, Sean Van Diepen, Parag C. Patel, Timothy D. Henry, David A. Morrow, David A. Baran, Kianoush B. Kashani
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 12, Iss 23 (2023)
Background One‐time assessment of the Society for Cardiovascular Angiography and Interventions (SCAI) shock classification robustly predicts mortality in the cardiac intensive care unit (CICU). We sought to determine whether serial SCAI shock class
Externí odkaz:
https://doaj.org/article/518581a89c664b328e184a028f50882a
Autor:
Bradley J. Peters, PharmD, Erin F. Barreto, PharmD, MSc, FCCM, Kristin C. Mara, MSc, Kianoush B. Kashani, MD, MSc
Publikováno v:
Critical Care Explorations, Vol 5, Iss 11, p e0998 (2023)
IMPORTANCE:. The outcomes of critically ill adults with obesity on continuous renal replacement therapy (CRRT) are poorly characterized. The impact of CRRT dose on these outcomes is uncertain. OBJECTIVES:. This study aimed to determine if obesity con
Externí odkaz:
https://doaj.org/article/496c4b83cb6242b191eb2fb63ef6dc97
Publikováno v:
BMC Nephrology, Vol 24, Iss 1, Pp 1-5 (2023)
Abstract Purpose Continuous kidney replacement therapy (CKRT) is an increasingly common intervention for critically ill patients with kidney failure. Because CKRT affects body temperature, detecting infections in patients on CKRT is challenging. Unde
Externí odkaz:
https://doaj.org/article/3cb87b04b19f45279faa76e247361208
Autor:
Mohammad S. Sheikh, Charat Thongprayoon, Fawad Qureshi, Supawadee Suppadungsuk, Kianoush B. Kashani, Jing Miao, Iasmina M. Craici, Wisit Cheungpasitporn
Publikováno v:
Journal of Personalized Medicine, Vol 14, Iss 3, p 233 (2024)
The accurate interpretation of CRRT machine alarms is crucial in the intensive care setting. ChatGPT, with its advanced natural language processing capabilities, has emerged as a tool that is evolving and advancing in its ability to assist with healt
Externí odkaz:
https://doaj.org/article/6a4e6d3c463c49e5b2ccf1c51b2d2375
Autor:
Stephen Wai Hang Kwok, Guanjin Wang, Ferdous Sohel, Kianoush B. Kashani, Ye Zhu, Zhen Wang, Eduardo Antpack, Kanika Khandelwal, Sandeep R. Pagali, Sanjeev Nanda, Ahmed D. Abdalrhim, Umesh M. Sharma, Sumit Bhagra, Sagar Dugani, Paul Y. Takahashi, Mohammad H. Murad, Mohammed Yousufuddin
Publikováno v:
Respiratory Research, Vol 24, Iss 1, Pp 1-16 (2023)
Abstract Background We applied machine learning (ML) algorithms to generate a risk prediction tool [Collaboration for Risk Evaluation in COVID-19 (CORE-COVID-19)] for predicting the composite of 30-day endotracheal intubation, intravenous administrat
Externí odkaz:
https://doaj.org/article/9518aa5cbe204f4181349ef94bfc8e69