Article
Transplantation
Judith Martins, Nicolas Nin, Alfonso Muriel, Oscar Penuelas, Dovami Vasco, Pablo Vaquero, Marcus J. Schultz, Jose A. Lorente
Summary: This study retrospectively analyzed data from a large cohort of burn patients and found that using the KDIGO guidelines to diagnose AKI is useful and even mild AKI is associated with increased mortality. Ignoring the urine output (UO) criterion may result in missed AKI cases.
NEPHROLOGY DIALYSIS TRANSPLANTATION
(2022)
Article
Biochemistry & Molecular Biology
Chang Hu, Qing Tan, Qinran Zhang, Yiming Li, Fengyun Wang, Xiufen Zou, Zhiyong Peng
Summary: This study developed an algorithm using explainable artificial intelligence approaches for early prediction of mortality in intensive care unit patients with acute kidney injury. Machine learning models based on clinical features were developed and validated with great performance.
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL
(2022)
Article
Surgery
Toru Nasu, Kentaro Ueda, Shuji Kawashima, Yuko Okishio, Kosei Kunitatsu, Yasuhiro Iwasaki, Seiya Kato
Summary: This study analyzed a large amount of data from January 2017 to December 2018 in a medical center to investigate the prevalence and risk factors associated with acute kidney injury after trauma, revealing that minimum prehospital systolic blood pressure and arterial lactate level are independent predictors of AKI. Patients with more severe conditions are more likely to develop AKI.
JOURNAL OF SURGICAL RESEARCH
(2021)
Article
Medicine, General & Internal
Hristo Zlatev, Charlotte von Horn, Moritz Kaths, Andreas Paul, Thomas Minor
Summary: Controlled oxygenated rewarming (COR) during short-term pre-transplant machine perfusion significantly improves early allograft function by increasing creatinine clearance. Real-time parameters such as lactate and TIMP2 show good correlation with subsequent graft function, while conventional kidney donor risk index KDRI is less predictive.
EUROPEAN JOURNAL OF CLINICAL INVESTIGATION
(2022)
Article
Medicine, General & Internal
Gianlorenzo Golino, Massimiliano Greco, Alessandro Rigobello, Vinicio Danzi, Massimo De Cal, Nicola Malchiorna, Monica Zannella, Paolo Navalesi, Rahul Costa-Pinto, Claudio Ronco, Silvia De Rosa
Summary: Acute kidney injury is a common cause of organ failure in trauma patients, affecting their morbidity and mortality. This study aimed to investigate the incidence and risk factors of early acute kidney injury in polytrauma patients, as well as evaluate the predictive potential of TIMP2 x IGFBP7 biomarkers in this patient cohort. The results showed that older age, obesity, and previous cardiac disease were associated with early acute kidney injury. TIMP2 x IGFBP7 levels were higher in patients with acute kidney injury and correlated with renal replacement therapy and episodes of hypotension.
Article
Biochemistry & Molecular Biology
Cressida Mahung, Shannon M. Wallet, Jordan E. Jacobs, Laura Y. Zhou, Haibo Zhou, Bruce A. Cairns, Robert Maile
Summary: Burn patients experience significant immune and metabolic dysfunction, which is further exacerbated by inhalation injury. This study identified specific immune and metabolic signaling pathways that are altered in burn and combined burn-inhalation injuries, and their correlation with patient outcomes. These findings could potentially serve as biomarkers and therapeutic targets for the management of burn patients.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Article
Medicine, General & Internal
Hanlim Choi, Jin Young Lee, Younghoon Sul, Seheon Kim, Jin Bong Ye, Jin Suk Lee, Suyoung Yoon, Junepill Seok, Jonghee Han, Jung Hee Choi, Hong Rye Kim
Summary: Acute kidney injury (AKI) is common and associated with poor outcomes in trauma patients. Early prediction of AKI is important for risk stratification and optimal treatment. This study compared machine learning techniques and logistic regression in predicting AKI in trauma patients, and found that the ML model performed better.
Article
Critical Care Medicine
Junzi Dong, Ting Feng, Binod Thapa-Chhetry, Byung Gu Cho, Tunu Shum, David P. Inwald, Christopher J. L. Newth, Vinay U. Vaidya
Summary: The study successfully predicted creatinine-based AKI in pediatric critical care patients using a machine learning model, providing early alerting and actionable feedback up to 48 hours in advance. The model performed well in predicting moderate to severe AKI, potentially improving outcomes and reducing AKI incidence through early interventions.
Review
Medicine, Research & Experimental
Zuoxiu Xiao, Qiong Huang, Yuqi Yang, Min Liu, Qiaohui Chen, Jia Huang, Yuting Xiang, Xingyu Long, Tianjiao Zhao, Xiaoyuan Wang, Xiaoyu Zhu, Shiqi Tu, Kelong Ai
Summary: This review summarizes the application and progress of machine learning and emerging detection technologies in the early diagnosis of acute kidney injury (AKI). Early diagnosis is crucial for preventing the progression of AKI to chronic renal failure.
Article
Psychology, Multidisciplinary
Julia E. Michalek, Matteo Lisi, Deema Awad, Kristin Hadfield, Isabelle Mareschal, Rana Dajani
Summary: The study discovered that Syrian refugee children experienced a shift in bias in emotion recognition, which returned to pre-intervention levels afterward, and this shift was not associated with self-reported mental health symptoms. Further research is needed to determine the longer-term impacts of the reading intervention.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Cardiac & Cardiovascular Systems
Jurij Matija Kalisnik, Andre Bauer, Ferdinand Aurel Vogt, Franziska Josephine Stickl, Janez Zibert, Matthias Fittkau, Thomas Bertsch, Samuel Kounev, Theodor Fischlein
Summary: This study aimed to use artificial intelligence-based algorithms to improve the early detection of cardiac surgery-associated acute kidney injury. A model called 'Detect-A(K)I' was developed and showed good discriminatory characteristics in detecting acute kidney injury within 12 hours after surgery. The model achieved an area under the curve of 88.0%, sensitivity of 78.0%, specificity of 78.9%, and accuracy of 82.1%. The model incorporated various demographic and clinical variables to improve its performance.
EUROPEAN JOURNAL OF CARDIO-THORACIC SURGERY
(2022)
Article
Biochemistry & Molecular Biology
Robert Maile, Micah L. Willis, Laura E. Herring, Alex Prevatte, Cressida Mahung, Bruce Cairns, Shannon Wallet, Leon G. Coleman
Summary: Research shows that extracellular vesicles after burn injury can promote macrophage activation and predict the length of hospital stay for patients. This suggests that extracellular vesicles may be drivers of immune responses after burn injury.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2021)
Article
Cell Biology
Zhao Zhang, Zhijie Zhu, Xuankang Wang, Dong Liu, Xincheng Liu, Zhenzhou Mi, Huiren Tao, Hongbin Fan
Summary: Our study revealed the crucial role of immune-related genes in the pathophysiology of spinal cord injury (SCI). We found that myeloid immune cells were upregulated, while lymphoid immune cells were downregulated in SCI patients. Two distinct immune modulation patterns were identified and accurately predicted the occurrence of SCI via machine learning.
Article
Biochemistry & Molecular Biology
Dan Mircea Enescu, Sorin Viorel Parasca, Silviu Constantin Badoiu, Daniela Miricescu, Alexandra Ripszky Totan, Iulia-Ioana Stanescu-Spinu, Maria Greabu, Viorel Jinga
Summary: O-2 deprivation induces stress and oxidative stress. Hypoxia can occur in both physiological and pathological conditions, and severe burns may lead to acute kidney injury. HIFs play a crucial role in cellular responses to hypoxia.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Article
Critical Care Medicine
Vignesh Kumar, Biplab Mishra, Mohit Kumar Joshi, Vijayan Purushothaman, Harshit Agarwal, Majid Anwer, Sushma Sagar, Subodh Kumar, Amit Gupta, Dinesh Bagaria, Narendra Choudhary, Abhinav Kumar, Pratyusha Priyadarshini, Kapil Dev Soni, Richa Aggarwal
Summary: This study aimed to evaluate the feasibility and safety of early discharge in adult patients with BLSI following NOM. Results from a randomized controlled trial showed that most patients can be safely discharged after 48 hours of in-hospital observation, with no abnormal symptoms during scheduled follow-up visits.
INJURY-INTERNATIONAL JOURNAL OF THE CARE OF THE INJURED
(2021)
Article
Critical Care Medicine
Anna Olszewski, Amber Yanes, Jessica Stafford, David G. Greenhalgh, Tina L. Palmieri, Soman Sen, Nam Tran
JOURNAL OF BURN CARE & RESEARCH
(2016)
Article
Critical Care Medicine
Zachary Godwin, Kelly Lima, David Greenhalgh, Tina Palmieri, Soman Sen, Nam K. Tran
JOURNAL OF BURN CARE & RESEARCH
(2016)
Article
Critical Care Medicine
Soman Sen, Luke Hsei, Nam Tran, Kathleen Romanowski, Tina Palmieri, David Greenhalgh, Kiho Cho
Article
Pharmacology & Pharmacy
Sarah M. Becker, Kathleen M. Job, Kelly Lima, Ty J. Forbes, Jadon Wagstaff, Nam K. Tran, Catherine M. Sherwin, Douglas S. Nelson, Michael D. Johnson, Joseph E. Rower
EUROPEAN JOURNAL OF CLINICAL PHARMACOLOGY
(2019)
Article
Critical Care Medicine
Kristin N. Grimsrud, Xenia Ivanova, Catherine M. Sherwin, Tina L. Palmieri, Nam K. Tran
JOURNAL OF BURN CARE & RESEARCH
(2019)
Article
Medicine, Research & Experimental
Daniel K. Nishijima, John VanBuren, Hilary A. Hewes, Sage R. Myers, Rachel M. Stanley, P. David Adelson, Sarah E. Barnhard, Matthew Bobinski, Simona Ghetti, James F. Holmes, Ian Roberts, Walton O. Schalick, Nam K. Tran, Leah S. Tzimenatos, J. Michael Dean, Nathan Kuppermann
Article
Critical Care Medicine
Nam K. Tran, Soman Sen, Tina L. Palmieri, Kelly Lima, Stephanie Falwell, Jeffery Wajda, Hooman H. Rashidi
Article
Medical Laboratory Technology
Martha E. Lyon, Oliver A. S. Lyon, Nam K. Tran, Jeffrey A. DuBois, Andrew W. Lyon
CLINICAL BIOCHEMISTRY
(2019)
Review
Medical Laboratory Technology
Raffick Bowen, Raul Benavides, Jessica M. Colon-Franco, Brooke M. Katzman, Alagarraju Muthukumar, Hossein Sadrzadeh, Joely Straseski, Ursula Klause, Nam Tran
CLINICAL BIOCHEMISTRY
(2019)
Article
Emergency Medicine
James S. Ford, Tasleem Chechi, Michella Otmar, Melissa Baker, Sarah Waldman, Brittany Morgan, David Tan, Nam K. Tran, Larissa May
Summary: The study demonstrates that utilizing an electronic health record alert to prompt syphilis testing in patients undergoing gonorrhoea/chlamydia testing can increase the number of syphilis tests and diagnoses while potentially reducing clinician bias in testing.
EMERGENCY MEDICINE JOURNAL
(2022)
Article
Emergency Medicine
Daniel K. Nishijima, John M. VanBuren, Seth W. Linakis, Hilary A. Hewes, Sage R. Myers, Nam K. Tran, Simona Ghetti, Matthew Bobinski, P. David Adelson, Ian Roberts, James F. Holmes, Walton O. Schalick, J. Michael Dean, T. Charles Casper, Nathan Kuppermann
Summary: This study assessed the feasibility of using the antifibrinolytic drug tranexamic acid (TXA) to treat hemorrhagic brain and/or torso injuries in severely injured children. The trial confirmed the possibility of conducting a large-scale trial using federal exception from informed consent (EFIC) procedures to evaluate the efficacy of TXA in children.
ACADEMIC EMERGENCY MEDICINE
(2022)
Article
Multidisciplinary Sciences
Hooman H. Rashidi, John Pepper, Taylor Howard, Karina Klein, Larissa May, Samer Albahra, Brett Phinney, Michelle R. Salemi, Nam K. Tran
Summary: The study aims to compare the performance of two commercial automated machine learning platforms in COVID-19 mass spectrometry analysis. The results demonstrate the robustness of machine learning models against SARS-CoV-2 variants on different platforms and highlight similarities and differences in producing predictive algorithms.
Review
Pathology
Hooman H. Rashidi, Nam K. Tran, Elham Vali Betts, Lydia P. Howell, Ralph Green
ACADEMIC PATHOLOGY
(2019)
Article
Critical Care Medicine
Jeffrey Anton DuBois, Robbert Jan Slingerland, Marion Foldcert, Alain Roman, Nam Khoa Tran, William Clarke, David Alan Sartori, Tina Louise Palmieri, Andrei Malic, Martha Elizabeth Lyon, Andrew William Lyon
CRITICAL CARE MEDICINE
(2017)