Objective To determine the effects of using unstructured clinical text in machine learning
(ML) for prediction, early detection, and identification of sepsis. Materials and methods …

Background: The aim of fluid resuscitation is to increase stroke volume, yet this effect is
observed in only 50% of patients. Prediction of fluid responsiveness may allow fluid …

Purpose This systematic review and meta-analysis was conducted to evaluate the mortality
risk in severe sepsis and septic shock with a low and high fluid volume/balance. Methods …

Introduction: Patients admitted to the hospital with sepsis are 8 times more likely to die than
patients with other diagnoses. There is no diagnostic test that clearly identifies the presence …

Both long non-coding RNA (lncRNA) RMRP and heat shock protein (HSP) 70 have been
known to play crucial roles in inflammation. The present study investigated the roles of …

The digitization of a patient's health record has profoundly impacted medicine and
healthcare. The compilation and accessibility of medical history has provided clinicians an …

Bloodstream infections (BSIs) and sepsis rank among the top reasons for human mortality
for hospitalized patients. The full breadth of sepsis syndromes are particularly dangerous to …

Aim Sepsis is a medical emergency with no definitive treatment. Animal experiments have
confirmed the therapeutic characteristics of exosomes in reducing inflammation and tissue …

Objective Sepsis is a whole-body inflammation disease after severe trauma, burn injury,
infection and major surgeries, accompanied by multiple organs failure. We sought to …

Sepsis is a syndrome comprised of a series of life-threatening organ dysfunctions caused by
a maladjusted body response to infection with no effective treatment. Molecular hydrogen is …