Correlation Between Serum Biomarkers and Disease Severity in Critically Ill Patients: Predicting Outcomes in the ICU

Authors: Turki K. Ainosah, Sarah A. Alanazi, Khalaf F. Alanazi, Loai A. Alqahtany, Fatemah A. Alanazi

DOI: https://doi.org/10.5281/zenodo.13778050

Short DOI: https://doi.org/gz5pcz

Country: Saudi Arabia

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Abstract: Objective: This study investigates the correlation between serum biomarkers and disease severity in critically ill patients, focusing on their predictive value for patient outcomes in an ICU setting.

Methods: A prospective cohort study was conducted with 120 critically ill patients admitted to a tertiary hospital ICU. Serum levels of biomarkers including lactate, interleukin-6 (IL-6), C-reactive protein (CRP), procalcitonin, and D-dimer were measured at admission. Correlations with APACHE II and SOFA scores were analyzed, and predictive values for ICU mortality and length of stay were assessed.

Results: Elevated lactate and IL-6 levels showed strong correlations with higher APACHE II (r = 0.71, r = 0.62) and SOFA scores (r = 0.68, r = 0.59), and were significant predictors of ICU mortality (lactate OR = 2.25, p < 0.001; IL-6 OR = 1.85, p = 0.02). CRP, procalcitonin, and D-dimer also correlated with disease severity, but less robustly.

Conclusions: Lactate and IL-6 are valuable biomarkers for assessing disease severity and predicting outcomes in critically ill patients. Their integration into clinical practice can enhance risk stratification and guide therapeutic decisions in the ICU.

Keywords: Serum biomarkers, lactate, interleukin-6, disease severity, ICU outcomes, predictive value, critically ill patients

Paper Id: 231213

Published On: 2022-08-10

Published In: Volume 10, Issue 4, July-August 2022

Cite This: Correlation Between Serum Biomarkers and Disease Severity in Critically Ill Patients: Predicting Outcomes in the ICU - Turki K. Ainosah, Sarah A. Alanazi, Khalaf F. Alanazi, Loai A. Alqahtany, Fatemah A. Alanazi - IJIRMPS Volume 10, Issue 4, July-August 2022. DOI 10.5281/zenodo.13778050

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