Derivation of a multi-biomarker model and score as a predictor of 30-day mortality in critically ill sepsis patients: A prospective cohort study

OBJECTIVE The objective of this study was to assess five biomarkers in sepsis: procalcitonin (PCT), interleukin-6 (IL-6), paraoxonase (PON) and arylesterase (ARE) activities of PON-1 and white blood cell (WBC) count in order to derive a multi-biomarker risk stratification model and score to predict...

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Main Authors: Wan Shukeri, Wan Fadzlina, Md Ralib, Azrina, Abdullah, Nor Zamzila, Mat Nor, Mohd Basri
Format: Conference or Workshop Item
Language:English
Published: 2017
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Online Access:http://irep.iium.edu.my/56697/13/56697.pdf
http://irep.iium.edu.my/56697/
http://www.msa.asm.org.my
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Institution: Universiti Islam Antarabangsa Malaysia
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spelling my.iium.irep.566972022-04-12T02:52:34Z http://irep.iium.edu.my/56697/ Derivation of a multi-biomarker model and score as a predictor of 30-day mortality in critically ill sepsis patients: A prospective cohort study Wan Shukeri, Wan Fadzlina Md Ralib, Azrina Abdullah, Nor Zamzila Mat Nor, Mohd Basri R Medicine (General) OBJECTIVE The objective of this study was to assess five biomarkers in sepsis: procalcitonin (PCT), interleukin-6 (IL-6), paraoxonase (PON) and arylesterase (ARE) activities of PON-1 and white blood cell (WBC) count in order to derive a multi-biomarker risk stratification model and score to predict 30-day mortality in critically ill patients with sepsis. METHODS This was a secondary analysis of a prospective, single-center, observational cohort performed in a 12-bed ICU in Hospital Tengku Ampuan Afzan, Pahang, Malaysia. There were 159 patients enrolled. Inclusion criteria: 1) adult patients of ≥18 years 2) presence of suspected or documented infection; and 3) a rise in SOFA score by 2 or more points. The five biomarkers were assayed within 24 hours of admission and subsequently at 24 and 48 hours later. Multivariable logistic regression was used to identify an optimal combination of biomarkers to create a panel. The derived formula for weighting biomarker values was used to calculate a “Sepsis Mortality Score,” which was the predicted probability of the primary outcome of 30-day mortality. RESULTS The primary outcome of 30-day mortality was reached in 46 (28.9%) of patients. Day 1 PCT, Day 3 IL-6 and Day 3 ARE were selected in the final step of the regression model. The AUC for the accuracy of the Sepsis Mortality Score derived from these three biomarkers was 0.83 (95% CI 0.74-0.91, P =0.000), suggesting very good model discrimination. When included in multivariate models with clinical variables, the score remained highly significant (p < 0.001) with an OR 25.63 (95% CI 5.45-120.56). CONCLUSIONS A biomarker panel of Day 1 PCT, Day 3 IL-6 and Day 3 ARE was predictive of 30-day mortality in critically ill patients with sepsis. Further study is warranted to prospectively validate the clinical utility of these biomarkers and the Sepsis Mortality Score in risk-stratifying patients with sepsis. 2017 Conference or Workshop Item NonPeerReviewed application/pdf en http://irep.iium.edu.my/56697/13/56697.pdf Wan Shukeri, Wan Fadzlina and Md Ralib, Azrina and Abdullah, Nor Zamzila and Mat Nor, Mohd Basri (2017) Derivation of a multi-biomarker model and score as a predictor of 30-day mortality in critically ill sepsis patients: A prospective cohort study. In: Malaysian Society Anaesthesiology Annual Scientific Meeting 2017, Johor Bahru, Johor. (Unpublished) http://www.msa.asm.org.my
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic R Medicine (General)
spellingShingle R Medicine (General)
Wan Shukeri, Wan Fadzlina
Md Ralib, Azrina
Abdullah, Nor Zamzila
Mat Nor, Mohd Basri
Derivation of a multi-biomarker model and score as a predictor of 30-day mortality in critically ill sepsis patients: A prospective cohort study
description OBJECTIVE The objective of this study was to assess five biomarkers in sepsis: procalcitonin (PCT), interleukin-6 (IL-6), paraoxonase (PON) and arylesterase (ARE) activities of PON-1 and white blood cell (WBC) count in order to derive a multi-biomarker risk stratification model and score to predict 30-day mortality in critically ill patients with sepsis. METHODS This was a secondary analysis of a prospective, single-center, observational cohort performed in a 12-bed ICU in Hospital Tengku Ampuan Afzan, Pahang, Malaysia. There were 159 patients enrolled. Inclusion criteria: 1) adult patients of ≥18 years 2) presence of suspected or documented infection; and 3) a rise in SOFA score by 2 or more points. The five biomarkers were assayed within 24 hours of admission and subsequently at 24 and 48 hours later. Multivariable logistic regression was used to identify an optimal combination of biomarkers to create a panel. The derived formula for weighting biomarker values was used to calculate a “Sepsis Mortality Score,” which was the predicted probability of the primary outcome of 30-day mortality. RESULTS The primary outcome of 30-day mortality was reached in 46 (28.9%) of patients. Day 1 PCT, Day 3 IL-6 and Day 3 ARE were selected in the final step of the regression model. The AUC for the accuracy of the Sepsis Mortality Score derived from these three biomarkers was 0.83 (95% CI 0.74-0.91, P =0.000), suggesting very good model discrimination. When included in multivariate models with clinical variables, the score remained highly significant (p < 0.001) with an OR 25.63 (95% CI 5.45-120.56). CONCLUSIONS A biomarker panel of Day 1 PCT, Day 3 IL-6 and Day 3 ARE was predictive of 30-day mortality in critically ill patients with sepsis. Further study is warranted to prospectively validate the clinical utility of these biomarkers and the Sepsis Mortality Score in risk-stratifying patients with sepsis.
format Conference or Workshop Item
author Wan Shukeri, Wan Fadzlina
Md Ralib, Azrina
Abdullah, Nor Zamzila
Mat Nor, Mohd Basri
author_facet Wan Shukeri, Wan Fadzlina
Md Ralib, Azrina
Abdullah, Nor Zamzila
Mat Nor, Mohd Basri
author_sort Wan Shukeri, Wan Fadzlina
title Derivation of a multi-biomarker model and score as a predictor of 30-day mortality in critically ill sepsis patients: A prospective cohort study
title_short Derivation of a multi-biomarker model and score as a predictor of 30-day mortality in critically ill sepsis patients: A prospective cohort study
title_full Derivation of a multi-biomarker model and score as a predictor of 30-day mortality in critically ill sepsis patients: A prospective cohort study
title_fullStr Derivation of a multi-biomarker model and score as a predictor of 30-day mortality in critically ill sepsis patients: A prospective cohort study
title_full_unstemmed Derivation of a multi-biomarker model and score as a predictor of 30-day mortality in critically ill sepsis patients: A prospective cohort study
title_sort derivation of a multi-biomarker model and score as a predictor of 30-day mortality in critically ill sepsis patients: a prospective cohort study
publishDate 2017
url http://irep.iium.edu.my/56697/13/56697.pdf
http://irep.iium.edu.my/56697/
http://www.msa.asm.org.my
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