Background: Sleep disturbances are common in pregnant and postpartum women, impacting their health. Predictive tools for timely intervention are scarce.
Objective: To develop and validate a nomogram predicting sleep disturbance risk in this demographic.
Background: Sepsis remains a leading cause of mortality in intensive care units, and rapid and accurate pathogen detection is crucial for effective treatment. This study evaluated the clinical application of multi-site metagenomic next-generation sequencing (mNGS) for the diagnosis of sepsis, comparing its performance against conventional methods.
Methods: A retrospective analysis was conducted on 69 patients with sepsis consecutively admitted to the Department of Intensive Care Medicine, Meizhou People's Hospital.