Articles avec mandats d'accès public - Tezcan Ozrazgat-BaslantiEn savoir plus
Non disponibles : 2
Race-Agnostic Computable Phenotype for Kidney Health Assessment in Adult Hospitalized Patients: FR-PO061
T Ozrazgat-Baslanti, Y Ren, E Adiyeke, TJ Loftus, MS Segal, A Bihorac
Journal of the American Society of Nephrology 33 (11S), 342, 2022
Exigences : US National Institutes of Health
Clinical Trajectories of AKI in Hospitalized Patients: PO0234
T Ozrazgat-Baslanti, TJ Loftus, A Bihorac
Journal of the American Society of Nephrology 32 (10S), 124-125, 2021
Exigences : US National Institutes of Health
Disponibles quelque part : 101
Cost and mortality associated with postoperative acute kidney injury
C Hobson, T Ozrazgat-Baslanti, A Kuxhausen, P Thottakkara, PA Efron, ...
Annals of surgery 261 (6), 1207-1214, 2015
Exigences : US National Institutes of Health
MySurgeryRisk: development and validation of a machine-learning risk algorithm for major complications and death after surgery
A Bihorac, T Ozrazgat-Baslanti, A Ebadi, A Motaei, M Madkour, ...
Annals of surgery 269 (4), 652-662, 2019
Exigences : US National Institutes of Health
Human myeloid-derived suppressor cells are associated with chronic immune suppression after severe sepsis/septic shock
B Mathias, AL Delmas, T Ozrazgat-Baslanti, EL Vanzant, BE Szpila, ...
Annals of surgery 265 (4), 827-834, 2017
Exigences : US National Institutes of Health
Persistent inflammation, immunosuppression, and catabolism syndrome after severe blunt trauma
EL Vanzant, CM Lopez, T Ozrazgat-Baslanti, R Ungaro, R Davis, ...
Journal of Trauma and Acute Care Surgery 76 (1), 21-30, 2014
Exigences : US National Institutes of Health
Application of machine learning techniques to high-dimensional clinical data to forecast postoperative complications
P Thottakkara, T Ozrazgat-Baslanti, BB Hupf, P Rashidi, P Pardalos, ...
PloS one 11 (5), e0155705, 2016
Exigences : US National Institutes of Health
DeepSOFA: a continuous acuity score for critically ill patients using clinically interpretable deep learning
B Shickel, TJ Loftus, L Adhikari, T Ozrazgat-Baslanti, A Bihorac, P Rashidi
Scientific reports 9 (1), 1879, 2019
Exigences : US National Science Foundation, US National Institutes of Health
Intelligent ICU for autonomous patient monitoring using pervasive sensing and deep learning
A Davoudi, KR Malhotra, B Shickel, S Siegel, S Williams, M Ruppert, ...
Scientific reports 9 (1), 8020, 2019
Exigences : US National Science Foundation, US National Institutes of Health
The development of chronic critical illness determines physical function, quality of life, and long-term survival among early survivors of sepsis in surgical ICUs
AK Gardner, GL Ghita, Z Wang, T Ozrazgat-Baslanti, SL Raymond, ...
Critical care medicine 47 (4), 566-573, 2019
Exigences : US National Institutes of Health
Evidence for persistent immune suppression in patients who develop chronic critical illness after sepsis
JA Stortz, TJ Murphy, SL Raymond, JC Mira, R Ungaro, ML Dirain, ...
Shock 49 (3), 249-258, 2018
Exigences : US National Institutes of Health
Benchmarking clinical outcomes and the immunocatabolic phenotype of chronic critical illness after sepsis in surgical intensive care unit patients
JA Stortz, JC Mira, SL Raymond, TJ Loftus, T Ozrazgat-Baslanti, Z Wang, ...
Journal of Trauma and Acute Care Surgery 84 (2), 342-349, 2018
Exigences : US National Institutes of Health
National surgical quality improvement program underestimates the risk associated with mild and moderate postoperative acute kidney injury
A Bihorac, M Brennan, T Ozrazgat-Baslanti, S Bozorgmehri, PA Efron, ...
Critical care medicine 41 (11), 2570-2583, 2013
Exigences : US National Institutes of Health
The epidemiology of chronic critical illness after severe traumatic injury at two level–one trauma centers
JC Mira, J Cuschieri, T Ozrazgat-Baslanti, Z Wang, GL Ghita, TJ Loftus, ...
Critical care medicine 45 (12), 1989-1996, 2017
Exigences : US National Institutes of Health
Development of a genomic metric that can be rapidly used to predict clinical outcome in severely injured trauma patients
AG Cuenca, LF Gentile, MC Lopez, R Ungaro, H Liu, W Xiao, J Seok, ...
Critical care medicine 41 (5), 1175-1185, 2013
Exigences : US National Institutes of Health
Comparing clinical judgment with the MySurgeryRisk algorithm for preoperative risk assessment: a pilot usability study
M Brennan, S Puri, T Ozrazgat-Baslanti, Z Feng, M Ruppert, ...
Surgery 165 (5), 1035-1045, 2019
Exigences : US National Institutes of Health
Regional anesthesia as compared with general anesthesia for surgery in geriatric patients with hip fracture: does it decrease morbidity, mortality, and health care costs …
L Le-Wendling, A Bihorac, TO Baslanti, S Lucas, K Sadasivan, ...
Pain Medicine 13 (7), 948-956, 2012
Exigences : US National Institutes of Health
Improved predictive models for acute kidney injury with IDEA: Intraoperative Data Embedded Analytics
L Adhikari, T Ozrazgat-Baslanti, M Ruppert, R Madushani, S Paliwal, ...
PloS one 14 (4), e0214904, 2019
Exigences : US National Institutes of Health
Acute kidney injury is associated with early cytokine changes after trauma
A Bihorac, TO Baslanti, AG Cuenca, CE Hobson, D Ang, PA Efron, ...
Journal of Trauma and Acute Care Surgery 74 (4), 1005-1013, 2013
Exigences : US National Institutes of Health
Acute and chronic kidney disease and cardiovascular mortality after major surgery
T Ozrazgat-Baslanti, P Thottakkara, M Huber, K Berg, N Gravenstein, ...
Annals of surgery 264 (6), 987-996, 2016
Exigences : US National Institutes of Health
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