Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy.

Purpose: Early clinical recognition of sepsis can be challenging. With the advancement of machine learning, promising real-time models to predict sepsis have emerged. We assessed their performance by carrying out a systematic review and meta-analysis.

Why physiology will continue to guide the choice between balanced crystalloids and normal saline: a systematic review and meta-analysis.

Background: Crystalloids are the most frequently prescribed drugs in intensive care medicine and emergency medicine. Thus, even small differences in outcome may have major implications, and therefore, the choice between balanced crystalloids versus normal saline continues to be debated. We examined to what extent the currently accrued information size from completed and ongoing trials on the subject allow intensivists and emergency physicians to choose the right fluid for their patients.

Long-term cerebral white and gray matter changes after preeclampsia.

Objective: To determine whether changes in cerebral structure are present after preeclampsia that may explain increased cerebrovascular risk in these women.

Methods: We conducted a case control study in women between 5 and 15 years after either a preeclamptic or normotensive pregnancy. Brain MRI was performed.

Aortic stiffness and blood pressure variability in young people: a multimodality investigation of central and peripheral vasculature.

Introduction: Increased blood pressure (BP) variability is a cardiovascular risk marker for young individuals and may relate to the ability of their aorta to buffer cardiac output. We used a multimodality approach to determine relations between central and peripheral arterial stiffness and BP variability.

Methods: We studied 152 adults (mean age of 31 years) who had BP variability measures based on SD of awake ambulatory BPs, 24-h weighted SD and average real variability (ARV).