The Role of Interferon-Induced Proteins with Tetratricopeptide Repeats 1 and 2 in Sepsis-Induced Acute Liver Injury

Liu, Zhipeng; Yuan, Xinyu; Huang, Yan; Gu, Zihan; Xue, Lu; Xue, Shanshan; Wang, Jun

doi:10.2147/idr.s459838

IDR

2024

DOI: 10.2147/idr.s459838

|View full text |Cite

The Role of Interferon-Induced Proteins with Tetratricopeptide Repeats 1 and 2 in Sepsis-Induced Acute Liver Injury

Zhipeng Liu,

Xinyu Yuan,

Yan Huang

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

A cause-effect relationship between uterine diseases and breast cancer: A bidirectional Mendelian randomization study

Liu,

Jiang,

Wang

et al. 2024

Heliyon

View full text Add to dashboard Cite

A cause-effect relationship between uterine diseases and breast cancer: A bidirectional Mendelian randomization study

Liu,

Jiang,

Wang

et al. 2024

Heliyon

View full text Add to dashboard Cite

Analysis of risk factors for sepsis-related liver injury and construction of a prediction model

He,

Wang,

et al. 2024

Front. Public Health

View full text Add to dashboard Cite

BackgroundSepsis is a leading cause of mortality in critically ill patients, and the liver is a key organ affected by sepsis. Sepsis-related liver injury (SRLI) is an independent risk factor for multiple organ dysfunction syndrome (MODS) and mortality. However, there is no clear diagnostic standard for SRLI, making early detection and intervention challenging.ObjectiveThis study aimed to investigate the predictive value of serum indices for the occurrence of SRLI in adults to guide clinical practice.MethodsIn this study, we investigated the predictive value of serum indices for SRLI in adults. We retrospectively analyzed data from 1,573 sepsis patients admitted to West China Hospital, Sichuan University, from January 2015 to December 2019. Patients were divided into those with and without liver injury. Stepwise logistic regression identified independent risk factors for SRLI, and a predictive model was constructed. The model’s diagnostic efficacy was assessed using receiver operating characteristic (ROC) curve analysis.ResultsOur results showed that alanine aminotransferase (ALT), gamma-glutamyl transpeptidase (GGT), carbon dioxide combining power (CO2-CP), antithrombin III (AT III), fibrin/fibrinogen degradation products (FDP), and red blood cell distribution width (RDW-CV) were independent predictors of SRLI. The area under the curve (AUC) of the predictive model was 0.890, with a sensitivity of 80.0% and a specificity of 82.91%, indicating excellent diagnostic value.ConclusionIn conclusion, this study developed a highly accurate predictive model for SRLI using clinically accessible serum indicators, which could aid in early detection and intervention, potentially reducing mortality rates.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

The Role of Interferon-Induced Proteins with Tetratricopeptide Repeats 1 and 2 in Sepsis-Induced Acute Liver Injury

Cited by 2 publications

References 31 publications

A cause-effect relationship between uterine diseases and breast cancer: A bidirectional Mendelian randomization study

A cause-effect relationship between uterine diseases and breast cancer: A bidirectional Mendelian randomization study

Analysis of risk factors for sepsis-related liver injury and construction of a prediction model

Contact Info

Product

Resources

About