Sepsis mortality score for the prediction of mortality in septic patients

Purpose: To derive a prediction equation for 30-day mortality in sepsis using a multi-marker approach and compare its performance to the Sequential Organ Failure Assessment (SOFA) score. Methods: This study included 159 septic patients admitted to an intensive care unit. Leukocytes count, procalcit...

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Main Authors:	Wan Mohd Shukeri, Wan Fadzlina, Md Ralib, Azrina, Abdullah, Norzamzila, Mat Nor, Mohd Basri
Format:	Article
Language:	English English English
Published:	Elsevier BV 2018
Subjects:	R Medicine (General)
Online Access:	http://irep.iium.edu.my/61635/ http://irep.iium.edu.my/61635/ http://irep.iium.edu.my/61635/ http://irep.iium.edu.my/61635/7/61635_Sepsis%20mortality%20score%20for%20the%20prediction%20_scopus.pdf http://irep.iium.edu.my/61635/13/61635_Sepsis%20mortality%20score%20for%20the%20prediction.pdf http://irep.iium.edu.my/61635/14/61635_Sepsis%20mortality%20score%20for%20the%20prediction_WOS.pdf

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spelling	iium-616352018-04-26T07:17:50Z http://irep.iium.edu.my/61635/ Sepsis mortality score for the prediction of mortality in septic patients Wan Mohd Shukeri, Wan Fadzlina Md Ralib, Azrina Abdullah, Norzamzila Mat Nor, Mohd Basri R Medicine (General) Purpose: To derive a prediction equation for 30-day mortality in sepsis using a multi-marker approach and compare its performance to the Sequential Organ Failure Assessment (SOFA) score. Methods: This study included 159 septic patients admitted to an intensive care unit. Leukocytes count, procalcitonin (PCT), interleukin-6 (IL-6), and paraoxonase (PON) and arylesterase (ARE) activities of PON-1 were assayed from blood obtained on ICU presentation. Logistic regression was used to derive sepsis mortality score (SMS), a prediction equation describing the relationship between biomarkers and 30-day mortality. Results: The 30-day mortality rate was 28.9%. The SMS was [еlogit(p)/(1 + еlogit(p))] × 100; logit(p) =0.74+ (0.004 × PCT)+(0.001 × IL-6)−(0.025 × ARE)−(0.059 × leukocytes count). The SMC had higher area under the receiver operating characteristic curve (95% Cl) than SOFA score [0.814 (0.736–0.892) vs. 0.767 (0.677–0.857)], but is not statistically significant.When the SMSwas added to the SOFA score, prediction of 30-day mortality improved compared to SOFA score used alone [0.845 (0.777–0.899), p=0.022]. Conclusions: A sepsismortality score using baseline leukocytes count, PCT, IL-6 and ARE was derived, which predicted 30-day mortality with very good performance and added significant prognostic information to SOFA score. Elsevier BV 2018-01-01 Article PeerReviewed application/pdf en http://irep.iium.edu.my/61635/7/61635_Sepsis%20mortality%20score%20for%20the%20prediction%20_scopus.pdf application/pdf en http://irep.iium.edu.my/61635/13/61635_Sepsis%20mortality%20score%20for%20the%20prediction.pdf application/pdf en http://irep.iium.edu.my/61635/14/61635_Sepsis%20mortality%20score%20for%20the%20prediction_WOS.pdf Wan Mohd Shukeri, Wan Fadzlina and Md Ralib, Azrina and Abdullah, Norzamzila and Mat Nor, Mohd Basri (2018) Sepsis mortality score for the prediction of mortality in septic patients. Journal of Critical Care, 43. pp. 163-168. ISSN 0883-9441 E-ISSN 1557-8615 http://www.jccjournal.org/article/S0883-9441(17)30494-X/pdf 10.1016/j.jcrc.2017.09.009
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English English
topic	R Medicine (General)
spellingShingle	R Medicine (General) Wan Mohd Shukeri, Wan Fadzlina Md Ralib, Azrina Abdullah, Norzamzila Mat Nor, Mohd Basri Sepsis mortality score for the prediction of mortality in septic patients
description	Purpose: To derive a prediction equation for 30-day mortality in sepsis using a multi-marker approach and compare its performance to the Sequential Organ Failure Assessment (SOFA) score. Methods: This study included 159 septic patients admitted to an intensive care unit. Leukocytes count, procalcitonin (PCT), interleukin-6 (IL-6), and paraoxonase (PON) and arylesterase (ARE) activities of PON-1 were assayed from blood obtained on ICU presentation. Logistic regression was used to derive sepsis mortality score (SMS), a prediction equation describing the relationship between biomarkers and 30-day mortality. Results: The 30-day mortality rate was 28.9%. The SMS was [еlogit(p)/(1 + еlogit(p))] × 100; logit(p) =0.74+ (0.004 × PCT)+(0.001 × IL-6)−(0.025 × ARE)−(0.059 × leukocytes count). The SMC had higher area under the receiver operating characteristic curve (95% Cl) than SOFA score [0.814 (0.736–0.892) vs. 0.767 (0.677–0.857)], but is not statistically significant.When the SMSwas added to the SOFA score, prediction of 30-day mortality improved compared to SOFA score used alone [0.845 (0.777–0.899), p=0.022]. Conclusions: A sepsismortality score using baseline leukocytes count, PCT, IL-6 and ARE was derived, which predicted 30-day mortality with very good performance and added significant prognostic information to SOFA score.
format	Article
author	Wan Mohd Shukeri, Wan Fadzlina Md Ralib, Azrina Abdullah, Norzamzila Mat Nor, Mohd Basri
author_facet	Wan Mohd Shukeri, Wan Fadzlina Md Ralib, Azrina Abdullah, Norzamzila Mat Nor, Mohd Basri
author_sort	Wan Mohd Shukeri, Wan Fadzlina
title	Sepsis mortality score for the prediction of mortality in septic patients
title_short	Sepsis mortality score for the prediction of mortality in septic patients
title_full	Sepsis mortality score for the prediction of mortality in septic patients
title_fullStr	Sepsis mortality score for the prediction of mortality in septic patients
title_full_unstemmed	Sepsis mortality score for the prediction of mortality in septic patients
title_sort	sepsis mortality score for the prediction of mortality in septic patients
publisher	Elsevier BV
publishDate	2018
url	http://irep.iium.edu.my/61635/ http://irep.iium.edu.my/61635/ http://irep.iium.edu.my/61635/ http://irep.iium.edu.my/61635/7/61635_Sepsis%20mortality%20score%20for%20the%20prediction%20_scopus.pdf http://irep.iium.edu.my/61635/13/61635_Sepsis%20mortality%20score%20for%20the%20prediction.pdf http://irep.iium.edu.my/61635/14/61635_Sepsis%20mortality%20score%20for%20the%20prediction_WOS.pdf
first_indexed	2023-09-18T21:27:23Z
last_indexed	2023-09-18T21:27:23Z
_version_	1777412282430521344

Sepsis mortality score for the prediction of mortality in septic patients

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