Related Experiment Video
Updated: Dec 9, 2025

Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure
Published on: June 10, 2025
Joint Modeling Approach on Evaluating Time-Dependent CutOff Values for C-Reactive Protein in Mixed Intensive Care
Background:
Serial C-reactive protein (CRP) biomarker values are frequently recorded from patients in adult intensive care units (ICU). The aim of this study was to assess the time-dependent diagnostic accuracy of repeated CRP measurements in predicting ICU mortality and determine the time-dependent cutoff values for this biomarker in mixed ICU population.
Methods:
Joint modeling was performed to model repeated CRP measurements and survival data. Time-dependent AUC (td-AUC) values were used to assess the diagnostic performances. Maximization of the product of sensitivity and specificity rule was applied to determine the time-dependent cutoff values.
Results:
Time-dependent diagnostic performance of serial CRP values were found as moderate in overall, observed to be higher in males than females, ranging from 0.603 to 0.624 in females and 0.639 to 0.690 in males. On the other hand, time-dependent cutoff values either remained constant or decreased through the 3rd day after the last measurement for both gender groups.
Conclusions:
Newly proposed time-dependent cutoff values for CRP biomarker are suggested to be used in clinics to discriminate subjects who are at risk and who are not during the first three days after the last measurement. Furthermore, taking serial CRP values in predicting the risk of death at ICU is highly recommended, to be able to assess the change in longitudinal profiles of subjects throughout the follow-up period.
More Related Videos
08:51Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
Published on: September 20, 2024
11:02Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics
Published on: November 29, 2024
Related Concept Videos
Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This...
Blood Studies for Cardiovascular System II: CRP, Hcy, and Cardiac Natriuretic Peptide Markers
These markers indicate stress or strain on the heart muscle:
Natriuretic Peptides (BNP)
Cardiac myocytes produce these hormones in response to ventricular stretching...
Noncompartmental Analysis: Mean Residence Time
After the administration of a drug through intravenous bolus injection, the drug molecules are distributed throughout the body and remain there for varying periods. The MRT represents the average time these drug molecules stay in the...
Clearance Models: Noncompartmental Models
The noncompartmental approach capitalizes on extensive sampling data, correlating the volume of distribution to systemic exposure and the administered dosage. This method enables...
Model Approaches for Pharmacokinetic Data: Physiological Models
Comparing the Survival Analysis of Two or More Groups