From static to dynamic: a sepsis-specific dynamic model from clinical criteria in polytrauma patients

scientific article published on December 2016

From static to dynamic: a sepsis-specific dynamic model from clinical criteria in polytrauma patients is …
instance of (P31):
scholarly articleQ13442814
editorialQ871232

External links are
P356DOI10.21037/ATM.2016.11.72
P932PMC publication ID5233511
P698PubMed publication ID28149854

P2093author name stringYoram Vodovotz
Rami A Namas
P2860cites workDeveloping a New Definition and Assessing New Clinical Criteria for Septic Shock: For the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3)Q26768292
In silico modeling: methods and applications to trauma and sepsisQ26825209
Insights into the Role of Chemokines, Damage-Associated Molecular Patterns, and Lymphocyte-Derived Mediators from Computational Models of Trauma-Induced InflammationQ28081320
Surviving Sepsis Campaign: international guidelines for management of severe sepsis and septic shock, 2012Q29615429
2001 SCCM/ESICM/ACCP/ATS/SIS International Sepsis Definitions ConferenceQ29618757
Signatures of Subacute Potentially Catastrophic Illness in the ICU: Model Development and ValidationQ30276289
Mortality reduction by heart rate characteristic monitoring in very low birth weight neonates: a randomized trialQ30423714
Toward an operative diagnosis in sepsis: a latent class approach.Q33320335
Bedside prediction of mortality from bacteremic sepsis. A dynamic analysis of ICU patientsQ34371772
Sepsis: current dogma and new perspectivesQ34415915
Sepsis: Something old, something new, and a systems viewQ35500956
Nonlinear dynamics, complex systems, and the pathobiology of critical illness.Q35896086
Sepsis biomarkers: a reviewQ37689825
Sepsis through the eyes of an engineer -- why treatments have succeeded and failedQ38058814
Why have clinical trials in sepsis failed?Q39242451
An Algorithm for Systemic Inflammatory Response Syndrome Criteria-Based Prediction of Sepsis in a Polytrauma CohortQ39576924
Using hierarchical dynamic Bayesian networks to investigate dynamics of organ failure in patients in the Intensive Care UnitQ39934341
The digital patient: predicting physiologic dynamics with mathematical modelsQ43652103
Assessment of the worldwide burden of critical illness: the intensive care over nations (ICON) auditQ46925063
New Definitions for Sepsis and Septic Shock: Continuing Evolution but With Much Still to Be Done.Q54656671
New Sepsis Criteria: A Change We Should Not Make.Q55059604
[Individual prognosis of critically ill patients with septic shock by neural network?]Q74379105
Double-blind randomised controlled trial of monoclonal antibody to human tumour necrosis factor in treatment of septic shock. NORASEPT II Study GroupQ77292359
Precision medicine--personalized, problematic, and promisingQ85219362
Precision Medicine for Critical Illness and InjuryQ88130274
P433issue24
P407language of work or nameEnglishQ1860
P304page(s)492
P577publication date2016-12-01
P1433published inAnnals of Translational MedicineQ26842362
P1476titleFrom static to dynamic: a sepsis-specific dynamic model from clinical criteria in polytrauma patients
P478volume4

Reverse relations

Q36294745Automated dynamic sepsis surveillance with routine data: opportunities and challengescites workP2860