Use of Machine Learning Algorithms in Sepsis SUMMARY The predictive value of sepsis clinical scoring systems is controversial but needs further improvement. Machine learning methods have recently emerged in the use of predicting disease identification, diagnosis and treatment. There is a current lack of comprehensive understanding of machine learning models
Prolonged vs Intermittent Antibiotic Infusions SUMMARYRecent efforts to maximize antibiotic activity have focused on using pharmacokinetic (PK) and pharmacodynamic (PD) principles for drug administration.As a preferred choice, beta lactams, and specifically meropenem displays a time dependent bactericidal activity based on free concentrations above the minimum inhibitory concentration (MIC).Although additional well controlled
Centers for Disease Control and Prevention Sepsis Initiatives SUMMARY The U.S. Centers for Disease Control and Prevention (CDC) has proposed the “Adult Sepsis Event Toolkit” - 2018 (ASE Toolkit), and the “Hospital Sepsis Program Core Elements” – 2023 (Sepsis Program Core Elements). The Program Elements were developed to help hospitals
Socioeconomic Impact on Sepsis SUMMARYSocioeconomic variables, beyond the control of patients and providers can impact the outcomes of sepsis patients.Larger data sets are needed to confirm the full impact of socioeconomic factors on sepsis mortality and hospital readmission rates.Further investigation to better understand socioeconomic variables on their influence to sepsis mortality is
Sepsis Clinical Probability Determination and Antibiotic Timing SUMMARY Accurate diagnosis of sepsis upon presentation is challenging due to subtle disease presentation or rapidly progressing symptoms. Early administration of antibiotics is one of the most effective interventions, especially with severe disease, however, must be balanced with the risk of potential harm. Surviving Sepsis
The Use of Artificial Intelligence in Sepsis SUMMARYIncorporating artificial intelligence into sepsis is a complex and challenging issue.Artificial intelligence algorithms in sepsis may be applied to: prediction; prognosis; mortality prediction; and optimal management.Limited data suggests artificial intelligence may provide a new approach to sepsis, but optimal provider input and considerations remain elusive.REVIEWArtificial
The 4 Phases of Fluid Therapy in Sepsis SUMMARYFluid therapy is an important component of sepsis therapy and may be administered during any phase of sepsis illness.While hemodynamic benefits may occur during initial fluid therapy, excessive amounts can be deleterious.Timing, rate and volume of fluid administration and removal vary based on the
Sepsis Now Part of CMS Value-Based Purchasing Program SUMMARY The U.S. Center for Medicare and Medicaid Services (CMS) Severe Sepsis and Septic Shock Early Management Bundle (SEP-1) lays out the process for providers to follow in the care of the sepsis patient. First published in 2015, then amended in 2018, CMS is
Machine Learning Predictive Spesis Models SUMMARYVarious machine learning sepsis prediction models exist and are promoted to facilitate early identification of patients at high risk for sepsis.Most are based on electronic health record data.Results range from producing improvements in outcomes to poor discrimination and calibration with poor predictability of sepsis onset and no
The Neurologic Complications of Sepsis SUMMARY Nervous system manifestations are often the first sign of organ failure to occur in sepsis. There are a wide range of clinical syndromes including confusion, seizures, and cerebrovascular events. The 2 most common are Sepsis associated encephalopathy and ICU acquired weakness. Current diagnostic and management strategies
