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Validation of an ICD-Based Algorithm to Identify Sepsis: A Retrospective Study
BACKGROUND: Sepsis surveillance was important for resources allocation, prevention, and development of health policy. OBJECTIVE: The aim of the study was to validate a modified International Classification of Diseases (ICD)-10 based algorithm for identifying hospitalized patients with sepsis. METHOD...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10627050/ https://www.ncbi.nlm.nih.gov/pubmed/37936832 http://dx.doi.org/10.2147/RMHP.S429157 |
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author | Diao, Shi-Tong Dong, Run Peng, Jin-Min Chen, Yan Li, Shan He, Shu-Hua Wang, Yi-Fan Du, Bin Weng, Li |
author_facet | Diao, Shi-Tong Dong, Run Peng, Jin-Min Chen, Yan Li, Shan He, Shu-Hua Wang, Yi-Fan Du, Bin Weng, Li |
author_sort | Diao, Shi-Tong |
collection | PubMed |
description | BACKGROUND: Sepsis surveillance was important for resources allocation, prevention, and development of health policy. OBJECTIVE: The aim of the study was to validate a modified International Classification of Diseases (ICD)-10 based algorithm for identifying hospitalized patients with sepsis. METHODS: We retrospectively analyzed a prospective, single-center cohort of adult patients who were consecutively admitted to one medical ICU ward and ten non-ICU wards with suspected or confirmed infections during a 6-month period. A modified ICD-10 based algorithm was validated against a reference standard of Sequential Organ Failure Assessment (SOFA) score based on Sepsis-3. Sensitivity (SE), specificity (SP), positive predictive value (PPV), negative predictive value (NPV), and areas under the receiver operating characteristic curves (AUROCs) were calculated for modified ICD-10 criteria, eSOFA criteria, Martin’s criteria, and Angus’s criteria. RESULTS: Of the 547 patients in the cohort, 332 (61%) patients met Sepsis-3 criteria and 274 (50%) met modified ICD-10 criteria. In the ICU setting, modified ICD-10 criteria had SE (84.47%), SP (88.57%), PPV (95.60), and NPV (65.96). In non-ICU settings, modified ICD-10 had SE (64.19%), SP (80.00%), PPV (80.33), and NPV (63.72). In the whole cohort, the AUROCs of modified ICD-10 criteria, eSOFA, Angus’s criteria, and Martin’s criteria were 0.76, 0.75, 0.62, and 0.62, respectively. CONCLUSION: This study demonstrated that modified ICD-10 criteria had higher validity compared with Angus’s criteria and Martin’s criteria. Validity of the modified ICD-10 criteria was similar to eSOFA criteria. Modified ICD-10 algorithm can be used to provide an accurate estimate of population-based sepsis burden of China. |
format | Online Article Text |
id | pubmed-10627050 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-106270502023-11-07 Validation of an ICD-Based Algorithm to Identify Sepsis: A Retrospective Study Diao, Shi-Tong Dong, Run Peng, Jin-Min Chen, Yan Li, Shan He, Shu-Hua Wang, Yi-Fan Du, Bin Weng, Li Risk Manag Healthc Policy Original Research BACKGROUND: Sepsis surveillance was important for resources allocation, prevention, and development of health policy. OBJECTIVE: The aim of the study was to validate a modified International Classification of Diseases (ICD)-10 based algorithm for identifying hospitalized patients with sepsis. METHODS: We retrospectively analyzed a prospective, single-center cohort of adult patients who were consecutively admitted to one medical ICU ward and ten non-ICU wards with suspected or confirmed infections during a 6-month period. A modified ICD-10 based algorithm was validated against a reference standard of Sequential Organ Failure Assessment (SOFA) score based on Sepsis-3. Sensitivity (SE), specificity (SP), positive predictive value (PPV), negative predictive value (NPV), and areas under the receiver operating characteristic curves (AUROCs) were calculated for modified ICD-10 criteria, eSOFA criteria, Martin’s criteria, and Angus’s criteria. RESULTS: Of the 547 patients in the cohort, 332 (61%) patients met Sepsis-3 criteria and 274 (50%) met modified ICD-10 criteria. In the ICU setting, modified ICD-10 criteria had SE (84.47%), SP (88.57%), PPV (95.60), and NPV (65.96). In non-ICU settings, modified ICD-10 had SE (64.19%), SP (80.00%), PPV (80.33), and NPV (63.72). In the whole cohort, the AUROCs of modified ICD-10 criteria, eSOFA, Angus’s criteria, and Martin’s criteria were 0.76, 0.75, 0.62, and 0.62, respectively. CONCLUSION: This study demonstrated that modified ICD-10 criteria had higher validity compared with Angus’s criteria and Martin’s criteria. Validity of the modified ICD-10 criteria was similar to eSOFA criteria. Modified ICD-10 algorithm can be used to provide an accurate estimate of population-based sepsis burden of China. Dove 2023-11-02 /pmc/articles/PMC10627050/ /pubmed/37936832 http://dx.doi.org/10.2147/RMHP.S429157 Text en © 2023 Diao et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Diao, Shi-Tong Dong, Run Peng, Jin-Min Chen, Yan Li, Shan He, Shu-Hua Wang, Yi-Fan Du, Bin Weng, Li Validation of an ICD-Based Algorithm to Identify Sepsis: A Retrospective Study |
title | Validation of an ICD-Based Algorithm to Identify Sepsis: A Retrospective Study |
title_full | Validation of an ICD-Based Algorithm to Identify Sepsis: A Retrospective Study |
title_fullStr | Validation of an ICD-Based Algorithm to Identify Sepsis: A Retrospective Study |
title_full_unstemmed | Validation of an ICD-Based Algorithm to Identify Sepsis: A Retrospective Study |
title_short | Validation of an ICD-Based Algorithm to Identify Sepsis: A Retrospective Study |
title_sort | validation of an icd-based algorithm to identify sepsis: a retrospective study |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10627050/ https://www.ncbi.nlm.nih.gov/pubmed/37936832 http://dx.doi.org/10.2147/RMHP.S429157 |
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