Eicu Crd | List of Frontiers open access articles

Original Research

Published on 14 Oct 2024

Machine learning-based prediction of mortality in acute myocardial infarction with cardiogenic shock

in Intensive Care Cardiovascular Medicine

Qitian Zhang
Lizhen Xu
Zhiyi Xie
Weibin He
Xiaohong Huang

Frontiers in Cardiovascular Medicine

doi 10.3389/fcvm.2024.1402503

8,137 views
16 citations

Original Research

Published on 22 Mar 2024

Serum phosphate levels and the development of sepsis associated acute kidney injury: evidence from two independent databases

in Nephrology

Yipeng Fang
Yuan Zhang
Xin Zhang

Frontiers in Medicine

doi 10.3389/fmed.2024.1367064

5,359 views
8 citations

Original Research

Published on 09 Feb 2026

Development and validation of a prediction model for in-hospital mortality in intensive care unit patients with cirrhosis and sepsis: a multicentre retrospective cohort study

in Intensive Care Medicine and Anesthesiology

Zhikun Xu
Qinhua Yang
Dongting Peng
Yichun Jiang
Yijing Su
Boru Wu
Zhiming Chen
Jiayang Huang
Xueyan Liu

Frontiers in Medicine

doi 10.3389/fmed.2026.1759988

858 views

Original Research

Published on 28 Apr 2025

Association between osmolality trajectories and mortality in patients with sepsis: a group-based trajectory model in large ICU open access databases

in Intensive Care Medicine and Anesthesiology

Yipeng Fang
Xuejun Shen
Aizhen Dou
Hui Xie
Keliang Xie

Frontiers in Medicine

doi 10.3389/fmed.2025.1538322

4,631 views
2 citations

Original Research

Accepted on 29 Apr 2026

Development and validation of the C-reactive protein–triglyceride-glucose index for predicting short-and long-term mortality in critically ill patients with coronary artery disease: a multicenter cohort study

in Coronary Artery Disease

Jian Yang
Yilin Xia
Weixi Guo
Liqun Wu
Xusheng Wu
Bei Li

Frontiers in Cardiovascular Medicine

291 views

Original Research

Published on 11 Mar 2026

Early prophylactic heparin use is associated with reduced mortality in patients with non-traumatic subarachnoid hemorrhage

in Stroke

Haiyan Xiang
Xiujuan Chen
Laiyou Wang
Weihua Lai

Frontiers in Neurology

doi 10.3389/fneur.2026.1753639

499 views

Original Research

Published on 22 Jul 2025

Nomogram model of mortality risk in patients with chronic obstructive pulmonary disease in intensive care unit: based on MIMIC-IV database and external validation study

in Pulmonary Medicine

Yikun Guo
Chen Zuo
Jun Yan
Chengjun Ban

Frontiers in Medicine

doi 10.3389/fmed.2025.1547047

2,927 views
1 citation

Original Research

Published on 12 Mar 2026

Development and validation of a prognostic model for acute respiratory distress syndrome in critically Ill patients with intra-abdominal sepsis: a multicenter cohort study

in Intensive Care Medicine and Anesthesiology

Wenzhe Li
Yuqian Li
Yixi Wang
Jian Cui
Xiangyou Yu

Frontiers in Medicine

doi 10.3389/fmed.2026.1775636

695 views

Original Research

Published on 14 Dec 2023

Factor analysis based on SHapley Additive exPlanations for sepsis-associated encephalopathy in ICU mortality prediction using XGBoost — a retrospective study based on two large database

in Neurocritical and Neurohospitalist Care

Jiayu Guo
Hongtao Cheng
Zicheng Wang
Mengmeng Qiao
Jing Li
Jun Lyu

Frontiers in Neurology

doi 10.3389/fneur.2023.1290117

6,269 views
22 citations

Original Research

Accepted on 13 Apr 2026

Interpretable Machine Learning to Predict NOAF in ICU Patients with CKD: Validation in US and Chinese Cohorts

in Intensive Care Medicine and Anesthesiology

Shujie Zhang
Lifan Shao
Qing Yin
Chao Yang
Lujing Nie
Jianan Zhao
Jing Huang
Yanbo Chen

Frontiers in Medicine

225 views

Original Research

Published on 03 Oct 2024

Survival prediction for heart failure complicated by sepsis: based on machine learning methods

in Intensive Care Medicine and Anesthesiology

Qitian Zhang
Lizhen Xu
Weibin He
Xinqi Lai
Xiaohong Huang

Frontiers in Medicine

doi 10.3389/fmed.2024.1410702

7,582 views
4 citations

Original Research

Accepted on 29 Apr 2026

Early Prediction of Incident Delirium in Traumatic Brain Injury: A Multicenter Validated and Interpretable Machine Learning Approach

in Neurocritical and Neurohospitalist Care

Li Cheng
Chen Hong
Wang Shouli
Liu Jianchao
Tianyi Zhang
Wang Lei
Huang Yixiang
Liu Lihua

Frontiers in Neurology

218 views

Original Research

Published on 26 Jan 2026

Exploring the association between dexmedetomidine and all-cause mortality in mechanically ventilated patients with sepsis through propensity score matching analysis and machine learning algorithms: a MIMIC-IV retrospective study

in Clinical and Diagnostic Microbiology and Immunology

Yanxia Wei
Minghui Li
Peng Wang
Jie Zhou
Kejian Lu
Huageng Huang
Yanjuan Huang
Fei Lin

Frontiers in Cellular and Infection Microbiology

doi 10.3389/fcimb.2025.1653883

1,424 views

Original Research

Published on 12 Oct 2022

Interpretable machine learning for 28-day all-cause in-hospital mortality prediction in critically ill patients with heart failure combined with hypertension: A retrospective cohort study based on medical information mart for intensive care database-IV and eICU databases

in Heart Valve Disease

Shengxian Peng
Jian Huang
Xiaozhu Liu
Jiewen Deng
Chenyu Sun
Juan Tang
Huaqiao Chen
Wenzhai Cao
Wei Wang
Xiangjie Duan

Frontiers in Cardiovascular Medicine

doi 10.3389/fcvm.2022.994359

23,065 views
58 citations

Original Research

Accepted on 27 Apr 2026

Aspirin Is Associated with Improved Outcomes in Sepsis Patients with Atrial Fibrillation: An Analysis of the MIMIC-IV and eICU-CRD Databases

in Cardiovascular Pharmacology and Drug Discovery

Wang Wei
Fangchao Chen
yufeng zhong
dianyang wang
qiuyin wei
hongfei ge
wencai wei
rui su

Frontiers in Cardiovascular Medicine

287 views

Original Research

Published on 23 Sep 2025

Multivitamin supplementation as a potential adjunctive therapy in post-cardiac arrest: insights from a multicenter retrospective analysis of MIMIC-IV and eICU-CRD

in Clinical Nutrition

Jiahao Shen
Danjun Wang
Wenxuan Zhao
Jun Que
Junwei Qian
Xiaoyun Zhang

Frontiers in Nutrition

doi 10.3389/fnut.2025.1602372

2,903 views

Articles

Machine learning-based prediction of mortality in acute myocardial infarction with cardiogenic shock

Serum phosphate levels and the development of sepsis associated acute kidney injury: evidence from two independent databases

Development and validation of a prediction model for in-hospital mortality in intensive care unit patients with cirrhosis and sepsis: a multicentre retrospective cohort study

Association between osmolality trajectories and mortality in patients with sepsis: a group-based trajectory model in large ICU open access databases

Development and validation of the C-reactive protein–triglyceride-glucose index for predicting short-and long-term mortality in critically ill patients with coronary artery disease: a multicenter cohort study

Early prophylactic heparin use is associated with reduced mortality in patients with non-traumatic subarachnoid hemorrhage

Nomogram model of mortality risk in patients with chronic obstructive pulmonary disease in intensive care unit: based on MIMIC-IV database and external validation study

Development and validation of a prognostic model for acute respiratory distress syndrome in critically Ill patients with intra-abdominal sepsis: a multicenter cohort study

Factor analysis based on SHapley Additive exPlanations for sepsis-associated encephalopathy in ICU mortality prediction using XGBoost — a retrospective study based on two large database

Interpretable Machine Learning to Predict NOAF in ICU Patients with CKD: Validation in US and Chinese Cohorts

Survival prediction for heart failure complicated by sepsis: based on machine learning methods

Early Prediction of Incident Delirium in Traumatic Brain Injury: A Multicenter Validated and Interpretable Machine Learning Approach

Exploring the association between dexmedetomidine and all-cause mortality in mechanically ventilated patients with sepsis through propensity score matching analysis and machine learning algorithms: a MIMIC-IV retrospective study

Interpretable machine learning for 28-day all-cause in-hospital mortality prediction in critically ill patients with heart failure combined with hypertension: A retrospective cohort study based on medical information mart for intensive care database-IV and eICU databases

Aspirin Is Associated with Improved Outcomes in Sepsis Patients with Atrial Fibrillation: An Analysis of the MIMIC-IV and eICU-CRD Databases

Multivitamin supplementation as a potential adjunctive therapy in post-cardiac arrest: insights from a multicenter retrospective analysis of MIMIC-IV and eICU-CRD