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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/61635/7/61635_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
http://irep.iium.edu.my/61635/
http://www.jccjournal.org/article/S0883-9441(17)30494-X/pdf
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spelling my.iium.irep.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 REM 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 http://www.jccjournal.org/article/S0883-9441(17)30494-X/pdf 10.1016/j.jcrc.2017.09.009
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
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/61635/7/61635_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
http://irep.iium.edu.my/61635/
http://www.jccjournal.org/article/S0883-9441(17)30494-X/pdf
_version_ 1643616034745221120
score 13.211869

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