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Lipidomic Signatures Align with Inflammatory Patterns and Outcomes in Critical Illness

NIAID Data Ecosystem2026-03-12 收录

脂质组学生物标志物

危重症预后评估

数据链接：

https://data.mendeley.com/datasets/7stf7dtxcz 数据链接链接失效反馈

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资源简介：

This repo contains the raw and processed dataset in the manuscript "Lipidomic Signatures Align with Inflammatory Patterns and Outcomes in Critical Illness".

应用场景：

创建时间：

2021-07-27

脂质组学生物标志物

双相情感障碍代谢研究

Lipidomics has become a pivotal tool in biomarker discovery for the diagnosis of psychiatric illnesses. However, the composition and quantitative analysis of peripheral lipids in female patients with

NIAID Data Ecosystem100

Factors affecting the severity of organ dysfunction progression at 72 hours after intensive care unit admission.

危重症预后评估

器官功能障碍

Factors affecting the severity of organ dysfunction progression at 72 hours after intensive care unit admission.

NIAID Data Ecosystem40

An NIHR Birmingham BRC dataset of severity scores and outcomes in critical care.

危重症预后评估

临床严重性评估

A highly granular dataset of 21,581 critical care admissions, curated by the NIHR Birmingham Biomedical Research Centre Infection and Acute Care Theme in collaboration with PIONEER. The data includes

SAIL Databank20

Additional file 6 of Evaluation and improvement of the National Early Warning Score (NEWS2) for COVID-19: a multi-hospital study

临床预警评分

危重症预后评估

Additional file 6: Table S5. Univariate logistic regression models for sensitivity analyses showing odds ratios of ICU/death at 3- and 14-days for subsets of the training cohort.

Figshare2021-01-21 更新40

Patient in mechanical ventilation in ICU (12/04/17 - 05/04/18)

危重症预后评估

机械通气患者研究

Purpose: To compare the predictive ability of the most used system scores Sequential Organ Failure Assessment (SOFA), Acute Physiology and Chronic Health Evaluation (APACHE) II and Simplified Acute Ph

Mendeley Data2021-05-25 更新30

Lipidomic Signatures Align with Inflammatory Patterns and Outcomes in Critical Illness

资源简介：

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