Triglyceride-glucose index predicts sepsis-associated acute kidney injury and length of stay in sepsis: A MIMIC-IV cohort study

Triglyceride-glucose index predicts sepsis-associated acute kidney injury and length of stay in sepsis: A MIMIC-IV cohort study

Background: Inflammation and stress response may be related to the occurrence of sepsis-associated acute kidney injury (SA-AKI) in patients with sepsis.Insulin resistance (IR) is closely related to the stress response, inflammatory response, immune response and severity of critical diseases. We assu...

Full description

Bibliographic Details
Main Authors:	Yijiao Fang, Bo Xiong, Xue Shang, Fan Yang, Yuehao Yin, Zhirong Sun, Xin Wu, Jun Zhang, Yi Liu
Format:	Article
Language:	English
Published:	Elsevier 2024-04-01
Series:	Heliyon
Subjects:	Triglyceride-glucose index Insulin resistance Sepsis Sepsis-associated acute kidney injury Length of stay MIMIC-IV database
Online Access:	http://www.sciencedirect.com/science/article/pii/S2405844024052885

Similar Items

Association between triglyceride-glucose index and in-hospital mortality in critically ill patients with sepsis: analysis of the MIMIC-IV database
by: Rui Zheng, et al.
Published: (2023-11-01)

Association Between Lactate and 28-Day Mortality in Elderly Patients with Sepsis: Results from MIMIC-IV Database
by: Liudang He, et al.
Published: (2022-12-01)

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)

Effect of early serum phosphate disorder on in-hospital and 28-day mortality in sepsis patients: a retrospective study based on MIMIC-IV database
by: Yinghao Luo, et al.
Published: (2024-02-01)

Development of a nomogram to predict 30-day mortality of sepsis patients with gastrointestinal bleeding: An analysis of the MIMIC-IV database
by: Bing Sun, et al.
Published: (2024-02-01)

Alveolar–arterial oxygen gradient nonlinearly impacts the 28‐day mortality of patients with sepsis: Secondary data mining based on the MIMIC‐IV database
by: Ying Wang, et al.
Published: (2023-05-01)

Aspirin reduces the mortality risk of sepsis-associated acute kidney injury: an observational study using the MIMIC IV database
by: Sining Chen, et al.
Published: (2023-07-01)

Improved prediction of sepsis-associated encephalopathy in intensive care unit sepsis patients with an innovative nomogram tool
by: Jun Jin, et al.
Published: (2024-02-01)

Clinical nomogram prediction model to assess the risk of prolonged ICU length of stay in patients with diabetic ketoacidosis: a retrospective analysis based on the MIMIC-IV database
by: Jincun Shi, et al.
Published: (2024-02-01)

Organism type of infection is associated with prognosis in sepsis: an analysis from the MIMIC-IV database
by: Qiuping Guo, et al.
Published: (2023-06-01)

A non-linear positive relationship between serum phosphate and clinical outcomes in sepsis
by: Cuirong Guo, et al.
Published: (2022-12-01)

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)

Association between base excess and 28-day mortality in sepsis patients: A secondary analysis based on the MIMIC- IV database
by: Jia Yuan, et al.
Published: (2023-05-01)

Admission triglyceride-glucose index predicts long-term mortality patients with subarachnoid hemorrhage a retrospective analysis of the MIMIC-IV database
by: Zhuangbin Liao, et al.
Published: (2024-02-01)

The correlation of hemoglobin and 28-day mortality in septic patients: secondary data mining using the MIMIC-IV database
by: Yu Chen, et al.
Published: (2023-06-01)

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)

The PaO2/FiO2 is independently associated with 28-day mortality in patients with sepsis: a retrospective analysis from MIMIC-IV database
by: Hongying Bi, et al.
Published: (2023-05-01)

An institutional perspective on the impact of recent antibiotic exposure on length of stay and hospital costs for patients with gram-negative sepsis
by: Micek Scott, et al.
Published: (2012-03-01)

Association between triglyceride-glucose index and all-cause mortality in critically ill patients with ischemic stroke: analysis of the MIMIC-IV database
by: Weimin Cai, et al.
Published: (2023-06-01)

Prediction of Th17/Treg cell balance on length of stay in intensive care units of patients with sepsis
by: Yu Wu, et al.
Published: (2024-04-01)

Albumin Level is Associated with Short-Term and Long-Term Outcomes in Sepsis Patients Admitted in the ICU: A Large Public Database Retrospective Research
by: Cao Y, et al.
Published: (2023-03-01)

Triglyceride-glucose index: a novel evaluation tool for all-cause mortality in critically ill hemorrhagic stroke patients-a retrospective analysis of the MIMIC-IV database
by: Yongwei Huang, et al.
Published: (2024-03-01)

The relationship between lactate dehydrogenase to albumin ratio and all-cause mortality during ICU stays in patients with sepsis: A retrospective cohort study with propensity score matching
by: Xiaoyue Guan, et al.
Published: (2024-03-01)

Association between acetaminophen administration and clinical outcomes in patients with sepsis admitted to the ICU: a retrospective cohort study
by: Shilin Sun, et al.
Published: (2024-01-01)

Association between the triglyceride glucose (TyG) index and the risk of acute kidney injury in critically ill patients with heart failure: analysis of the MIMIC-IV database
by: Zewen Yang, et al.
Published: (2023-08-01)

Length of Hospital Stay and Its Predictors Among Neonatal Sepsis Patients: A Retrospective Follow-Up Study
by: Sisay EA, et al.
Published: (2022-11-01)

Construction and validation of prognostic models in critically Ill patients with sepsis-associated acute kidney injury: interpretable machine learning approach
by: Zhiyan Fan, et al.
Published: (2023-06-01)

Early predicting 30-day mortality in sepsis in MIMIC-III by an artificial neural networks model
by: Yingjie Su, et al.
Published: (2022-12-01)

Association between ferritin to albumin ratio and 28-day mortality in patients with sepsis: a retrospective cohort study
by: Feng Liu, et al.
Published: (2023-10-01)

The correlation study between blood urea nitrogen to serum albumin ratio and prognosis of patients with sepsis during hospitalization
by: Jie Min, et al.
Published: (2022-12-01)

A prediction model for predicting the risk of acute respiratory distress syndrome in sepsis patients: a retrospective cohort study
by: Chi Xu, et al.
Published: (2023-03-01)

Comparison of risk prediction models for the progression of pelvic inflammatory disease patients to sepsis: Cox regression model and machine learning model
by: Qingyi Wang, et al.
Published: (2024-01-01)

Clinical characteristics and risk factors associated with ICU-acquired infections in sepsis: A retrospective cohort study
by: Yajun He, et al.
Published: (2022-07-01)

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 histamine 2 receptor antagonists and sepsis outcomes in ICU patients: a retrospective analysis using the MIMI-IV database
by: Tarek R. Firzli, et al.
Published: (2023-02-01)

Effect of treatment applied in sepsis on intensive care unit and hospital stay: how effective are albumin/steroid/vasopressor agents?
by: Selda Kayaalti, et al.
Published: (2021-02-01)

Association between glucose-to-lymphocyte ratio and in-hospital mortality in intensive care patients with sepsis: A retrospective observational study based on Medical Information Mart for Intensive Care IV
by: Shaoyan Cai, et al.
Published: (2022-08-01)

Construction and Evaluation of a Sepsis Risk Prediction Model for Urinary Tract Infection
by: Luming Zhang, et al.
Published: (2021-05-01)

Explainable ensemble machine learning model for prediction of 28-day mortality risk in patients with sepsis-associated acute kidney injury
by: Jijun Yang, et al.
Published: (2023-05-01)

Association between ICU admission (neutrophil + monocyte)/lymphocyte ratio and 30-day mortality in patients with sepsis: a retrospective cohort study
by: Manliang Guo, et al.
Published: (2023-10-01)