Association of inflammatory indicators with intensive care unit mortality in critically ill patients with coronary heart disease

Association of inflammatory indicators with intensive care unit mortality in critically ill patients with coronary heart disease

ObjectiveCoronary heart disease (CHD) is one of the major cardiovascular diseases, a common chronic disease in the elderly and a major cause of disability and death in the world. Currently, intensive care unit (ICU) patients have a high probability of concomitant coronary artery disease, and the mor...

Full description

Bibliographic Details
Main Authors:	Yuan Cheng, Yang Chen, Mengxia Mao, Ruixuan Wang, Jun Zhu, Qing He
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2023-11-01
Series:	Frontiers in Immunology
Subjects:	inflammatory indicator coronary heart disease intensive care unit MIMIC eICU mortality
Online Access:	https://www.frontiersin.org/articles/10.3389/fimmu.2023.1295377/full

Similar Items

A nomogram to predict prolonged stay of obesity patients with sepsis in ICU: Relevancy for predictive, personalized, preventive, and participatory healthcare strategies
by: Yang Chen, et al.
Published: (2022-08-01)

Development and validation of a novel blending machine learning model for hospital mortality prediction in ICU patients with Sepsis
by: Zhixuan Zeng, et al.
Published: (2021-08-01)

Infusion of Human Albumin on Acute Pancreatitis Therapy: New Tricks for Old Dog?
by: Yifei Ma, et al.
Published: (2022-06-01)

Relationship Between Mean Vancomycin Trough Concentration and Mortality in Critically Ill Patients: A Multicenter Retrospective Study
by: Yanli Hou, et al.
Published: (2021-07-01)

Association between serum phosphate and in-hospital mortality of patients with AECOPD: A retrospective analysis on eICU database
by: Siqi Li, et al.
Published: (2023-09-01)

Comparison of correctly and incorrectly classified patients for in-hospital mortality prediction in the intensive care unit
by: Eline Stenwig, et al.
Published: (2023-04-01)

Acute Myocardial Infarction (AMI) as the Effect Modifiers to Modify the Association Between Red Blood Cell Distribution Width (RDW) and Mortality in Critically Ill Patients With Stroke
by: Tongli Guo, et al.
Published: (2022-04-01)

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
by: Jiayu Guo, et al.
Published: (2023-12-01)

Comparative analysis of explainable machine learning prediction models for hospital mortality
by: Eline Stenwig, et al.
Published: (2022-02-01)

A simple APACHE IV risk dynamic nomogram that incorporates early admitted lactate for the initial assessment of 28-day mortality in critically ill patients with acute myocardial infarction
by: Jikai Song, et al.
Published: (2022-11-01)

Determinants of Mortality of Patients Admitted to the Intensive Care Unit at Debre Berhan Comprehensive Specialized Hospital: A Retrospective Cohort Study
by: Melaku EE, et al.
Published: (2024-02-01)

Influence of fluid balance on the prognosis of patients with sepsis
by: Luming Zhang, et al.
Published: (2021-11-01)

Development and Validation of a Dynamic Nomogram for Predicting in-Hospital Mortality in Patients with Acute Pancreatitis: A Retrospective Cohort Study in the Intensive Care Unit
by: Zou K, et al.
Published: (2023-06-01)

Association of early postoperative serum magnesium with acute kidney injury after cardiac surgery
by: Chao Xiong, et al.
Published: (2023-12-01)

The Association between the Hypochloremia and Mortality in Intensive Care Unit (ICU) Patients with Chronic Heart Failure
by: Jinping Zhang, et al.
Published: (2023-03-01)

Mortality Prediction in Cerebral Hemorrhage Patients Using Machine Learning Algorithms in Intensive Care Units
by: Ximing Nie, et al.
Published: (2021-01-01)

Association between serum-free thyroxine level and all-cause mortality in critically ill patients: a retrospective study from MIMIC-IV
by: Juan-Juan Dai, et al.
Published: (2023-05-01)

Association Between Obstructive Sleep Apnea and Reduced Mortality in Critically Ill Patients: A Propensity Score-Based Analysis
by: Lin P, et al.
Published: (2021-08-01)

Association between serum TSH levels and all-cause mortality in critically ill patients
by: Wenwen Sun, et al.
Published: (2024-02-01)

The Association of Red Blood Cell Distribution Width to Platelet Count Ratio and 28-Day Mortality of Patients with Sepsis: A Retrospective Cohort Study
by: Ge S, et al.
Published: (2020-10-01)

A prediction model for in-hospital mortality in intensive care unit patients with metastatic cancer
by: Meizhen Wu, et al.
Published: (2023-01-01)

Risk analysis of the association between different hemoglobin glycation index and poor prognosis in critical patients with coronary heart disease-A study based on the MIMIC-IV database
by: Xing Wei, et al.
Published: (2024-03-01)

Correlation between change in body mass and mortality during hospitalization in intensive care unit: a retrospective cohort study
by: ZHANG Jingjing, et al.
Published: (2023-02-01)

Atrial Fibrillation Is Not an Independent Determinant of Mortality Among Critically Ill Acute Ischemic Stroke Patients: A Propensity Score-Matched Analysis From the MIMIC-IV Database
by: Chen-Shu Wu, et al.
Published: (2022-01-01)

Investigating the Mortality Rate of Nosocomial Infections in Patients Admitted to the Intensive Care unit of Imam Khomeini Hospital, Sari
by: Roya Ghasemian, et al.
Published: (2023-11-01)

Increased normalized lactate load is associated with higher mortality in both sepsis and non-sepsis patients: an analysis of the MIMIC-IV database
by: Han Chen, et al.
Published: (2022-03-01)

Association between anion gap and all-cause mortality of critically ill surgical patients: a retrospective cohort study
by: Xu Sun, et al.
Published: (2023-08-01)

Association of thiamine administration and prognosis in critically ill patients with heart failure
by: Rui Yang, et al.
Published: (2023-03-01)

Dynamic APACHE II Score to Predict the Outcome of Intensive Care Unit Patients
by: Yao Tian, et al.
Published: (2022-01-01)

Association between serum sodium levels within 24 h of admission and all-cause mortality in critically ill patients with non-traumatic subarachnoid hemorrhage: a retrospective analysis of the MIMIC-IV database
by: Junjie Liu, et al.
Published: (2023-09-01)

Association between afterhours admission to the intensive care unit, strained capacity, and mortality: a retrospective cohort study
by: Adam M. Hall, et al.
Published: (2018-04-01)

ANALYSIS OF MORTALITY IN PATIENTS ADMITTED IN MEDICAL INTENSIVE CARE UNIT OF KHAN RESEARCH LABORATORIES HOSPITAL, ISLAMABAD, PAKISTAN
by: Azmat Ali, et al.
Published: (2018-03-01)

Prognostic Value of Blood Urea Nitrogen to Serum Albumin Ratio in Intensive Care Unit Patients with Lung Cancer
by: Peng X, et al.
Published: (2021-10-01)

Relationship between sodium level and in-hospital mortality in traumatic brain injury patients of MIMIC IV database
by: Xiaoliang Wang, et al.
Published: (2024-03-01)

The Value of Admission Serological Indicators for Predicting 28-Day Mortality in Intensive Care Patients With Acute Heart Failure: Construction and Validation of a Nomogram
by: Xiaoyuan Wei, et al.
Published: (2021-12-01)

Association Between Platelet Levels and 28-Day Mortality in Patients With Sepsis: A Retrospective Analysis of a Large Clinical Database MIMIC-IV
by: Danni Wang, et al.
Published: (2022-04-01)

Prediction model of in-hospital mortality in intensive care unit patients with cardiac arrest: a retrospective analysis of MIMIC -IV database based on machine learning
by: Yiwu Sun, et al.
Published: (2023-05-01)

Development and External Validation of a Nomogram for Predicting Acute Kidney Injury in Cardiogenic Shock Patients in Intensive Care Unit
by: Fu S, et al.
Published: (2022-04-01)

Association of dynamic change of triglyceride-glucose index during hospital stay with all-cause mortality in critically ill patients: a retrospective cohort study from MIMIC IV2.0
by: Long Cheng, et al.
Published: (2023-06-01)

Elevated Lactate Dehydrogenase Levels Display a Poor Prognostic Factor for Non-Hodgkin’s Lymphoma in Intensive Care Unit: An Analysis of the MIMIC-III Database Combined With External Validation
by: Jiaqian Qi, et al.
Published: (2021-10-01)