Cargando…

A Machine-Learning Approach for Dynamic Prediction of Sepsis-Induced Coagulopathy in Critically Ill Patients With Sepsis

Background: Sepsis-induced coagulopathy (SIC) denotes an increased mortality rate and poorer prognosis in septic patients. Objectives: Our study aimed to develop and validate machine-learning models to dynamically predict the risk of SIC in critically ill patients with sepsis. Methods: Machine-learn...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhao, Qin-Yu, Liu, Le-Ping, Luo, Jing-Chao, Luo, Yan-Wei, Wang, Huan, Zhang, Yi-Jie, Gui, Rong, Tu, Guo-Wei, Luo, Zhe
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2021
Materias:	Medicine
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7859637/ https://www.ncbi.nlm.nih.gov/pubmed/33553224 http://dx.doi.org/10.3389/fmed.2020.637434

Ejemplares similares

Sepsis-Associated Coagulopathy Predicts Hospital Mortality in Critically Ill Patients With Postoperative Sepsis
por: Ren, Chao, et al.
Publicado: (2022)

Development and Validation of Machine Learning Models for Real-Time Mortality Prediction in Critically Ill Patients With Sepsis-Associated Acute Kidney Injury
por: Luo, Xiao-Qin, et al.
Publicado: (2022)

An Interpretable Early Dynamic Sequential Predictor for Sepsis-Induced Coagulopathy Progression in the Real-World Using Machine Learning
por: Cui, Ruixia, et al.
Publicado: (2021)

Comparison of the prognostic value of four different critical illness scores in patients with sepsis-induced coagulopathy
por: Wang, Chengli, et al.
Publicado: (2023)

The Value of Thromboelastography in the Diagnosis of Sepsis-Induced Coagulopathy
por: Luo, Cuizhu, et al.
Publicado: (2020)

Effectiveness of early heparin therapy on outcomes in critically ill patients with sepsis-induced coagulopathy
por: Huang, Jia-Jia, et al.
Publicado: (2023)

Sepsis-induced coagulopathy is associated with new episodes of atrial fibrillation in patients admitted to critical care in sinus rhythm
por: Ortega-Martorell, Sandra, et al.
Publicado: (2023)

Immunological Endotyping of Chronic Critical Illness After Severe Sepsis
por: Fenner, Brittany P., et al.
Publicado: (2021)

Editorial: Endothelial activation and microcirculatory disorders in sepsis and critical illness
por: Joffre, Jérémie, et al.
Publicado: (2023)

Development and Validation of a Machine-Learning Model for Prediction of Extubation Failure in Intensive Care Units
por: Zhao, Qin-Yu, et al.
Publicado: (2021)

Exosome-Derived From Sepsis Patients' Blood Promoted Pyroptosis of Cardiomyocytes by Regulating miR-885-5p/HMBOX1
por: Tu, Guo-wei, et al.
Publicado: (2022)

Machine learning for early discrimination between transient and persistent acute kidney injury in critically ill patients with sepsis
por: Luo, Xiao-Qin, et al.
Publicado: (2021)

Levosimendan to Facilitate Weaning From Cardiorespiratory Support in Critically Ill Patients: A Meta-Analysis
por: Luo, Jing-Chao, et al.
Publicado: (2021)

Editorial: Advances in extracorporeal life support in critically ill patients, volume II
por: Tu, Guo-wei, et al.
Publicado: (2023)

New criteria for sepsis-induced coagulopathy (SIC) following the revised sepsis definition: a retrospective analysis of a nationwide survey
por: Iba, Toshiaki, et al.
Publicado: (2017)

Favorable Outcomes of Anticoagulation With Unfractioned Heparin in Sepsis-Induced Coagulopathy: A Retrospective Analysis of MIMIC-III Database
por: Peng, Jiang-Chen, et al.
Publicado: (2022)

The coagulopathy in sepsis: significance and implications for treatment
por: Saracco, Paola, et al.
Publicado: (2011)

Efficacy of Xuebijing for coagulopathy in patients with sepsis
por: Hou, Si-Yuan, et al.
Publicado: (2015)

Enigmatic role of coagulopathy among sepsis survivors: a review of coagulation abnormalities and their possible link to chronic critical illness
por: Winer, Leah K, et al.
Publicado: (2020)

Comparison of the coagulopathies associated with COVID‐19 and sepsis
por: Campbell, Robert A., et al.
Publicado: (2021)

Sepsis Induced Coagulopathy: Bringing Science to the Bedside
por: Samavedam, Srinivas
Publicado: (2023)

Sepsis-induced Coagulopathy Subphenotype Identification by Latent Class Analysis
por: Cai, Dan, et al.
Publicado: (2023)

Development of a Nomogram to Predict 28-Day Mortality of Patients With Sepsis-Induced Coagulopathy: An Analysis of the MIMIC-III Database
por: Lu, Zongqing, et al.
Publicado: (2021)

Low-molecular-weight heparin therapy reduces 28-day mortality in patients with sepsis-3 by improving inflammation and coagulopathy
por: Zhang, Ze, et al.
Publicado: (2023)

The Prevalence, Risk Factors, and Outcomes of Sepsis in Critically Ill Patients in China: A Multicenter Prospective Cohort Study
por: Wang, Meiping, et al.
Publicado: (2020)

Plasma kallistatin in critically ill patients with severe sepsis and septic shock
por: Lin, Wei-Chieh, et al.
Publicado: (2017)

Role of extracellular vesicles in the development of sepsis-induced coagulopathy
por: Iba, Toshiaki, et al.
Publicado: (2018)

Development of an Algorithm to Predict Mortality in Patients With Sepsis and Coagulopathy
por: Walborn, Amanda, et al.
Publicado: (2020)

Diagnosis of sepsis‐induced disseminated intravascular coagulation and coagulopathy
por: Iba, Toshiaki, et al.
Publicado: (2019)

Machine learning for early prediction of sepsis-associated acute brain injury
por: Ge, Chenglong, et al.
Publicado: (2022)

Hypomagnesemia in Critically Ill Sepsis Patients
por: Velissaris, Dimitrios, et al.
Publicado: (2015)

A Machine Learning-Based Prediction of Hospital Mortality in Patients With Postoperative Sepsis
por: Yao, Ren-qi, et al.
Publicado: (2020)

Early Prediction of Mortality, Severity, and Length of Stay in the Intensive Care Unit of Sepsis Patients Based on Sepsis 3.0 by Machine Learning Models
por: Su, Longxiang, et al.
Publicado: (2021)

Explainable ensemble machine learning model for prediction of 28-day mortality risk in patients with sepsis-associated acute kidney injury
por: Yang, Jijun, et al.
Publicado: (2023)

Machine Learning for the Prediction of Red Blood Cell Transfusion in Patients During or After Liver Transplantation Surgery
por: Liu, Le-Ping, et al.
Publicado: (2021)

The critical role of pancreatic stone protein/regenerating protein in sepsis-related multiorgan failure
por: Hu, Ping, et al.
Publicado: (2023)

Machine learning models for predicting in-hospital mortality in patient with sepsis: Analysis of vital sign dynamics
por: Cheng, Chi-Yung, et al.
Publicado: (2022)

Hematological Phenotype of COVID-19-Induced Coagulopathy: Far from Typical Sepsis-Induced Coagulopathy
por: Umemura, Yutaka, et al.
Publicado: (2020)

Acute kidney injury-attributable mortality in critically ill patients with sepsis
por: Wang, Zhiyi, et al.
Publicado: (2022)

Compass in COVID-19 Illness: Disseminated Intravascular Coagulation/Sepsis-induced Coagulopathy Scoring in Predicting Severity
por: Zirpe, Kapil G, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_rg6ec497c3k8lk7bfkd51q0nnr