Derivation of a new bioscore for predicting mortality in sepsis
Introduction: Currently, there is a lack of clinically feasible and reliable method for discriminating outcome in sepsis. We aimed to derive a new bioscore for predicting 30-day mortality in sepsis using a combination of biomarkers and clinical indexes. Materials and Methods: This secondary analysis...
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| Format: | Article |
| Language: | English |
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Kulliyyah of Medicine, International Islamic University Malaysia
2018
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| Online Access: | http://irep.iium.edu.my/81801/ http://irep.iium.edu.my/81801/1/836-Manuscript-2198-1-10-20200130.pdf |
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| author | Wan Muhd Shukeri, Wan Fadzlina Md Ralib, Azrina Mat Nor, Mohd Basri |
| author_facet | Wan Muhd Shukeri, Wan Fadzlina Md Ralib, Azrina Mat Nor, Mohd Basri |
| author_sort | Wan Muhd Shukeri, Wan Fadzlina |
| building | IIUM Repository |
| collection | Online Access |
| description | Introduction: Currently, there is a lack of clinically feasible and reliable method for discriminating outcome in sepsis. We aimed to derive a new bioscore for predicting 30-day mortality in sepsis using a combination of biomarkers and clinical indexes. Materials and Methods: This secondary analysis of a prospectively collected data included 159 septic patients admitted to an intensive care unit (ICU). We collected data for key variables considered for inclusion in the score which included: age, sex, source of admission, comorbidities, microorganism, bacteraemia, site of infection, septic shock status, baseline Simplified Acute Physiological Score II, Sequential Organ Failure Assessment (SOFA) score (total and organ sub-scores), C-reactive protein, procalcitonin and interleukin-6 (IL-6). Approximate quintiles of each variable were assigned points based on the strength of their association with 30-day mortality. Results: Based on the statistical significance in the logistic regression model, the final score used candidate variables of age, central nervous system and liver SOFA sub-scores and IL-6. The bioscore predicted 30-day mortality with a very good performance [area under the receiver operating characteristic curve 0.814 (95% CI 0.745-0.871, p <0.0001)] in our sepsis cohort. A bioscore greater than 4 predicted 30-day mortality with 80.4% sensitivity, 69.9% specificity, 2.67 positive likelihood ratio and 0.28 negative likelihood ratio. As the score increased, so did mortality rate. Conclusion: A new bioscore combining age, central nervous system and liver SOFA sub-scores and IL-6 measured on ICU admission improves prediction of mortality in sepsis. |
| first_indexed | 2025-11-14T17:52:44Z |
| format | Article |
| id | iium-81801 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T17:52:44Z |
| publishDate | 2018 |
| publisher | Kulliyyah of Medicine, International Islamic University Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-818012020-08-17T03:25:49Z http://irep.iium.edu.my/81801/ Derivation of a new bioscore for predicting mortality in sepsis Wan Muhd Shukeri, Wan Fadzlina Md Ralib, Azrina Mat Nor, Mohd Basri RC82 Medical Emergencies, Critical Care, Intensive Care, First Aid Introduction: Currently, there is a lack of clinically feasible and reliable method for discriminating outcome in sepsis. We aimed to derive a new bioscore for predicting 30-day mortality in sepsis using a combination of biomarkers and clinical indexes. Materials and Methods: This secondary analysis of a prospectively collected data included 159 septic patients admitted to an intensive care unit (ICU). We collected data for key variables considered for inclusion in the score which included: age, sex, source of admission, comorbidities, microorganism, bacteraemia, site of infection, septic shock status, baseline Simplified Acute Physiological Score II, Sequential Organ Failure Assessment (SOFA) score (total and organ sub-scores), C-reactive protein, procalcitonin and interleukin-6 (IL-6). Approximate quintiles of each variable were assigned points based on the strength of their association with 30-day mortality. Results: Based on the statistical significance in the logistic regression model, the final score used candidate variables of age, central nervous system and liver SOFA sub-scores and IL-6. The bioscore predicted 30-day mortality with a very good performance [area under the receiver operating characteristic curve 0.814 (95% CI 0.745-0.871, p <0.0001)] in our sepsis cohort. A bioscore greater than 4 predicted 30-day mortality with 80.4% sensitivity, 69.9% specificity, 2.67 positive likelihood ratio and 0.28 negative likelihood ratio. As the score increased, so did mortality rate. Conclusion: A new bioscore combining age, central nervous system and liver SOFA sub-scores and IL-6 measured on ICU admission improves prediction of mortality in sepsis. Kulliyyah of Medicine, International Islamic University Malaysia 2018-12-14 Article PeerReviewed application/pdf en http://irep.iium.edu.my/81801/1/836-Manuscript-2198-1-10-20200130.pdf Wan Muhd Shukeri, Wan Fadzlina and Md Ralib, Azrina and Mat Nor, Mohd Basri (2018) Derivation of a new bioscore for predicting mortality in sepsis. IIUM Medical Journal Malaysia, 17 (Supplementary Issue no. 1). p. 40. ISSN 1823-4631 https://journals.iium.edu.my/kom/index.php/imjm/article/view/836/560 |
| spellingShingle | RC82 Medical Emergencies, Critical Care, Intensive Care, First Aid Wan Muhd Shukeri, Wan Fadzlina Md Ralib, Azrina Mat Nor, Mohd Basri Derivation of a new bioscore for predicting mortality in sepsis |
| title | Derivation of a new bioscore for predicting mortality in sepsis |
| title_full | Derivation of a new bioscore for predicting mortality in sepsis |
| title_fullStr | Derivation of a new bioscore for predicting mortality in sepsis |
| title_full_unstemmed | Derivation of a new bioscore for predicting mortality in sepsis |
| title_short | Derivation of a new bioscore for predicting mortality in sepsis |
| title_sort | derivation of a new bioscore for predicting mortality in sepsis |
| topic | RC82 Medical Emergencies, Critical Care, Intensive Care, First Aid |
| url | http://irep.iium.edu.my/81801/ http://irep.iium.edu.my/81801/ http://irep.iium.edu.my/81801/1/836-Manuscript-2198-1-10-20200130.pdf |