Changes in Global Sepsis Incidence and Mortality SUMMARY: Recent evidence demonstrates a surge in sepsis incidence and death globally. Several factors may be contributing to this rise. There are age and geographical variances in sepsis cases and death. REVIEW: Source: Global Burden of Disease, Injuries, and Risk Factor Study
Level of Trauma Center Designation and Sepsis Outcomes SUMMARY:Trauma is a life-threatening complication of sepsis.Mortality is tied to trauma center level designation.Trauma sepsis patients have higher mortality rates than non-sepsis trauma patients. REVIEW: Trauma centers are designated into different levels based on resources, volumes, and commitment to education and research.Trauma
Is “Metabolic Resuscitation” the Next Step in Sepsis Management? SUMMARY: Sepsis identification and management remain a global challenge. Metabolic resuscitation has become an area of focus as a therapeutic strategy to address mitochondrial function to counter sepsis-induced organ dysfunction and improve survival. The efficacy of a combined therapy including corticosteroids,
Sepsis Program Implementations in International Hospitals SUMMARY: Routine sepsis screening, early detection, and standardized care approaches have been the driving force of sepsis care for decades. Although extensively studied within the United States, the rest of world's adoption of these approaches leaves considerable room for improvement. New strategies are needed
Barriers Known to Prevent Optimum Sepsis Care SUMMARY: There is a need to increase effective management of sepsis patients. Currently, evidence demonstrates the lack of fully implementing sepsis care bundles in clinical settings. Lack of crucial knowledge and communication are key barriers to optimizing sepsis care. REVIEW: The
Rx for Sepsis Management with Artificial Intelligence SUMMARY: Artificial Intelligence is improving early sepsis detection within clinical decision support algorithms. The effectiveness of these algorithms can vary based on a variety of factors including parameters evaluated, patient populations and time to predictions. Future efforts should focus on identification of high
Clinical Decision Support Systems for Early Sepsis Detection SUMMARY: Artificial Intelligence is improving early sepsis detection within clinical decision support algorithms. The effectiveness of these algorithms can vary based on a variety of factors including parameters evaluated, patient populations and time to predictions. Future efforts should focus on identification of
Triglyceride-Glucose Index in Sepsis SUMMARY: Platelets play a key role in immune response and inflammation. Sepsis, which is characterized by systemic inflammation, often presents with thrombocytopenia. Initial evaluations of novel therapeutic approaches to sepsis associated thrombocytopenia is encouraging but requires further evaluation. REVIEW: Platelets are the most abundant cellular
Triglyceride-Glucose Index in Sepsis SUMMARY: Sepsis induces extensive release of inflammatory factors and stresses producing various imbalances. Insulin resistance diminishes peripheral tissue insulin sensitivity. The Triglyceride-Glucose Index (TyGI) has been presented as a surrogate marker of insulin resistance. TyGI has been associated with various diseases and is emerging as a possible indicator
Sepsis Clinical Scoring Systems SUMMARY:Sepsis scoring systems to identify patients with potential sepsis have been in use for decades.Very few have been incorporated into clinical practice due to a number of limitations.The evolution of machine learning algorithms will be a major disruptor in this area. REVIEW: The original sepsis scoring tool was
