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
Sepsis Biomarkers in Diagnosis and Prognosis SUMMARY: Biomarkers used for the early diagnosis or prognosis of sepsis have evolved over the past few years. Most still require further data before being placed into a routine bedside use with high reliability. Concerns over biomarker variability and well-defined thresholds remain. REVIEW:Over 250 sepsis biomarkers
The Challenge of Multi-Drug-Resistant Sepsis SUMMARY: Early use of antimicrobials in true cases of sepsis is of utmost significance. Sepsis often results in prescribing antibiotics before a precise diagnosis is made. Widespread misuse of antimicrobials contribute to multidrug resistance and mortality. Antibiotic stewardship programs can help enhance treatment and minimize
Sepsis Inflammation Impact on Organ Dysfunction SUMMARY: The immune system in sepsis consists of both pro-inflammatory and anti-inflammatory responses. These responses can produce multiple various organ sepsis. derangements in patients with sepsis. The role these organ system derangements play in sepsis and secondary infections should not be overlooked. REVIEW:
Half Century of Corticosteroid Use in Septic Shock SUMMARY: Corticosteroid use in the treatment of sepsis has been ongoing for half a century. Despite this long-term evaluation, there is still widespread disagreements regarding their risk-to-benefit ratio. Current evidence does not support the use of corticosteroids either alone or in combination
Is In-Hospital Sepsis Mortality a Fair Assessment? SUMMARY:In-Hospital mortality is a key indicator of quality of care within a system, and influenced by a variety of factors.Safety Net Hospitals are those with a disproportionately high number of low income and underserved patients.Patient factors and hospital factors, including transfer practices impact in-patient mortality.
Sepsis Chain of Survival SUMMARY: The “Chain of Survival” was first applied to sudden cardiac arrest and indicates the chain of events which must occur in rapid succession to maximize chances of survival. The Chain of Survival has a natural application to sepsis. The links in the chain include early recognition
SOFA Score Machine Learning Sepsis Mortality Prediction SUMMARY: Evaluation of repeated SOFA scores may provide a better 30 day sepsis mortality predictability. Machine learning algorithms outperform conventional SOFA delta scores on 30 day mortality. Several limitations present with longitudinal SOFA scores. REVIEW: Delta SOFA scores comparing day 1
Myocardial Injury in Sepsis SUMMARY:Sepsis induced myocardial QT prolongation is a serious complication.Sepsis is an independent predictor for the development of prolonged QT interval.New onset QT interval in sepsis had higher arrhythmias and 30 day mortality. REVIEW: Liu et al Critical Care 2024;28:115 doi.org/10.1186/s13054-024-04879-2Retrospective review of sepsis patients from 2018 – 2022
