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
Smelling Sepsis with Electronic Nose (eNose) Technology SUMMARY:Microorganisms can release volatile organic compounds (VOCs) released through exhaled air, producing unique odors.Exhaled breath analysis is a likely and promising alternative to disease detection.eNose measurements can identify sepsis among patients with a suspected infection. REVIEW:Human exhaled air contains trace amounts of VOCs.A Breath Biopsy
Machine Learning Algorithms for Sepsis Detection SUMMARY:Early identification and treatment of sepsis is central for identification and successful treatment of sepsis.Widespread systematic sepsis screening (manual or automated) is the recommended approach to detecting early sepsis.To date, employing systematic screening with traditional sepsis scoring tools has been suboptimal.Machine learning algorithms for sepsis screening
Sepsis Major Cause of True Deterioration SUMMARY: Sepsis is a major cause of morbidity and mortality globally. Early identification and treatment of any causes of acute deterioration outside the ICU will help improve clinical outcomes. Sepsis, either alone or as part of multiple causes, is the most common cause of
