Nobuaki Shime

Discussion In patients with sepsis requiring invasive ventilator management in the ICU, we developed a model to predict tracheostomy within 14 days of ICU admission, achieving an AUC of 0.76—generally considered indicative of good performance. The model demonstrated comparable predictive ability in both the temporal validation cohort (AUC = 0.74) and the external validation cohort (AUC = 0.71).

This was a nationwide cross-sectional survey conducted in Japan to assess clinical adherence to the J-SSCG 2024 among healthcare professionals. The study targeted physicians, nurses, and other clinical staff across various types of medical institutions, including academic hospitals, tertiary care centers, and outpatient facilities.

We conducted a meta-analysis using publicly available RNA-seq datasets to identify endotypes in sepsis. The analytic workflow is summarized in Figure S1. Briefly, we first performed a systematic search to identify eligible RNA-seq data of sepsis. To ensure robust analysis, we preprocessed the data by excluding low-quality samples (e.g., those with low mapping rates), filtering out low-expression genes, performing normalization, and correcting for batch effects across datasets.