Cargando…

The ICU-CARB score: a novel clinical scoring system to predict carbapenem-resistant gram-negative bacteria carriage in critically ill patients upon ICU admission

BACKGROUND: With the widespread spread of carbapenem-resistant gram-negative bacteria (CR-GNB) in medical facilities, the carriage of CR-GNB among critically ill patients has become a significant concern in intensive care units (ICU). This study aimed to develop a scoring system to identify CR-GNB c...

Descripción completa

Detalles Bibliográficos
Autores principales: Dai, Yunqi, Zhang, Ling, Pan, Tingting, Shen, Ziyun, Meng, Tianjiao, Wu, Jing, Gu, Feifei, Wang, Xiaoli, Tan, Ruoming, Qu, Hongping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10613373/
https://www.ncbi.nlm.nih.gov/pubmed/37898771
http://dx.doi.org/10.1186/s13756-023-01326-9
_version_ 1785128817448189952
author Dai, Yunqi
Zhang, Ling
Pan, Tingting
Shen, Ziyun
Meng, Tianjiao
Wu, Jing
Gu, Feifei
Wang, Xiaoli
Tan, Ruoming
Qu, Hongping
author_facet Dai, Yunqi
Zhang, Ling
Pan, Tingting
Shen, Ziyun
Meng, Tianjiao
Wu, Jing
Gu, Feifei
Wang, Xiaoli
Tan, Ruoming
Qu, Hongping
author_sort Dai, Yunqi
collection PubMed
description BACKGROUND: With the widespread spread of carbapenem-resistant gram-negative bacteria (CR-GNB) in medical facilities, the carriage of CR-GNB among critically ill patients has become a significant concern in intensive care units (ICU). This study aimed to develop a scoring system to identify CR-GNB carriers upon ICU admission. METHODS: Consecutive critically ill patients admitted to the ICU of Shanghai Ruijin Hospital between January 2017 and December 2020 were included. The patients were then divided into training and testing datasets at a 7:3 ratio. Parameters associated with CR-GNB carriage were identified using least absolute shrinkage and selection operator regression analysis. Each parameter was assigned a numerical score ranging from 0 to 100 using logistic regression analysis. Subsequently, a four-tier risk-level system was developed based on the cumulative scores, and assessed using the area under the receiver operating characteristic curve (AUC). RESULTS: Of the 1736 patients included in this study, the prevalence of CR-GNB carriage was 10.60%. The clinical scoring system including seven variables (neurological disease, high-risk department history, length of stay ≥ 14 days, ICU history, invasive mechanical ventilation, gastrointestinal tube placement, and carbapenem usage) exhibited promising predictive capabilities. Patients were then stratified using the scoring system, resulting in CR-GNB carriage rates of 2.4%, 12.0%, 36.1%, and 57.9% at the respective risk levels (P < 0.001). Furthermore, the AUC of the developed model in the training set was calculated to be 0.82 (95% CI, 0.78–0.86), while internal validation yielded an AUC of 0.83 (95% CI, 0.77–0.89). CONCLUSIONS: The ICU-CARB Score serves as a straightforward and precise tool that enables prompt evaluation of the risk of CR-GNB carriage at the time of ICU admission, thereby facilitating the timely implementation of targeted pre-emptive isolation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13756-023-01326-9.
format Online
Article
Text
id pubmed-10613373
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-106133732023-10-30 The ICU-CARB score: a novel clinical scoring system to predict carbapenem-resistant gram-negative bacteria carriage in critically ill patients upon ICU admission Dai, Yunqi Zhang, Ling Pan, Tingting Shen, Ziyun Meng, Tianjiao Wu, Jing Gu, Feifei Wang, Xiaoli Tan, Ruoming Qu, Hongping Antimicrob Resist Infect Control Research BACKGROUND: With the widespread spread of carbapenem-resistant gram-negative bacteria (CR-GNB) in medical facilities, the carriage of CR-GNB among critically ill patients has become a significant concern in intensive care units (ICU). This study aimed to develop a scoring system to identify CR-GNB carriers upon ICU admission. METHODS: Consecutive critically ill patients admitted to the ICU of Shanghai Ruijin Hospital between January 2017 and December 2020 were included. The patients were then divided into training and testing datasets at a 7:3 ratio. Parameters associated with CR-GNB carriage were identified using least absolute shrinkage and selection operator regression analysis. Each parameter was assigned a numerical score ranging from 0 to 100 using logistic regression analysis. Subsequently, a four-tier risk-level system was developed based on the cumulative scores, and assessed using the area under the receiver operating characteristic curve (AUC). RESULTS: Of the 1736 patients included in this study, the prevalence of CR-GNB carriage was 10.60%. The clinical scoring system including seven variables (neurological disease, high-risk department history, length of stay ≥ 14 days, ICU history, invasive mechanical ventilation, gastrointestinal tube placement, and carbapenem usage) exhibited promising predictive capabilities. Patients were then stratified using the scoring system, resulting in CR-GNB carriage rates of 2.4%, 12.0%, 36.1%, and 57.9% at the respective risk levels (P < 0.001). Furthermore, the AUC of the developed model in the training set was calculated to be 0.82 (95% CI, 0.78–0.86), while internal validation yielded an AUC of 0.83 (95% CI, 0.77–0.89). CONCLUSIONS: The ICU-CARB Score serves as a straightforward and precise tool that enables prompt evaluation of the risk of CR-GNB carriage at the time of ICU admission, thereby facilitating the timely implementation of targeted pre-emptive isolation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13756-023-01326-9. BioMed Central 2023-10-28 /pmc/articles/PMC10613373/ /pubmed/37898771 http://dx.doi.org/10.1186/s13756-023-01326-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Dai, Yunqi
Zhang, Ling
Pan, Tingting
Shen, Ziyun
Meng, Tianjiao
Wu, Jing
Gu, Feifei
Wang, Xiaoli
Tan, Ruoming
Qu, Hongping
The ICU-CARB score: a novel clinical scoring system to predict carbapenem-resistant gram-negative bacteria carriage in critically ill patients upon ICU admission
title The ICU-CARB score: a novel clinical scoring system to predict carbapenem-resistant gram-negative bacteria carriage in critically ill patients upon ICU admission
title_full The ICU-CARB score: a novel clinical scoring system to predict carbapenem-resistant gram-negative bacteria carriage in critically ill patients upon ICU admission
title_fullStr The ICU-CARB score: a novel clinical scoring system to predict carbapenem-resistant gram-negative bacteria carriage in critically ill patients upon ICU admission
title_full_unstemmed The ICU-CARB score: a novel clinical scoring system to predict carbapenem-resistant gram-negative bacteria carriage in critically ill patients upon ICU admission
title_short The ICU-CARB score: a novel clinical scoring system to predict carbapenem-resistant gram-negative bacteria carriage in critically ill patients upon ICU admission
title_sort icu-carb score: a novel clinical scoring system to predict carbapenem-resistant gram-negative bacteria carriage in critically ill patients upon icu admission
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10613373/
https://www.ncbi.nlm.nih.gov/pubmed/37898771
http://dx.doi.org/10.1186/s13756-023-01326-9
work_keys_str_mv AT daiyunqi theicucarbscoreanovelclinicalscoringsystemtopredictcarbapenemresistantgramnegativebacteriacarriageincriticallyillpatientsuponicuadmission
AT zhangling theicucarbscoreanovelclinicalscoringsystemtopredictcarbapenemresistantgramnegativebacteriacarriageincriticallyillpatientsuponicuadmission
AT pantingting theicucarbscoreanovelclinicalscoringsystemtopredictcarbapenemresistantgramnegativebacteriacarriageincriticallyillpatientsuponicuadmission
AT shenziyun theicucarbscoreanovelclinicalscoringsystemtopredictcarbapenemresistantgramnegativebacteriacarriageincriticallyillpatientsuponicuadmission
AT mengtianjiao theicucarbscoreanovelclinicalscoringsystemtopredictcarbapenemresistantgramnegativebacteriacarriageincriticallyillpatientsuponicuadmission
AT wujing theicucarbscoreanovelclinicalscoringsystemtopredictcarbapenemresistantgramnegativebacteriacarriageincriticallyillpatientsuponicuadmission
AT gufeifei theicucarbscoreanovelclinicalscoringsystemtopredictcarbapenemresistantgramnegativebacteriacarriageincriticallyillpatientsuponicuadmission
AT wangxiaoli theicucarbscoreanovelclinicalscoringsystemtopredictcarbapenemresistantgramnegativebacteriacarriageincriticallyillpatientsuponicuadmission
AT tanruoming theicucarbscoreanovelclinicalscoringsystemtopredictcarbapenemresistantgramnegativebacteriacarriageincriticallyillpatientsuponicuadmission
AT quhongping theicucarbscoreanovelclinicalscoringsystemtopredictcarbapenemresistantgramnegativebacteriacarriageincriticallyillpatientsuponicuadmission
AT daiyunqi icucarbscoreanovelclinicalscoringsystemtopredictcarbapenemresistantgramnegativebacteriacarriageincriticallyillpatientsuponicuadmission
AT zhangling icucarbscoreanovelclinicalscoringsystemtopredictcarbapenemresistantgramnegativebacteriacarriageincriticallyillpatientsuponicuadmission
AT pantingting icucarbscoreanovelclinicalscoringsystemtopredictcarbapenemresistantgramnegativebacteriacarriageincriticallyillpatientsuponicuadmission
AT shenziyun icucarbscoreanovelclinicalscoringsystemtopredictcarbapenemresistantgramnegativebacteriacarriageincriticallyillpatientsuponicuadmission
AT mengtianjiao icucarbscoreanovelclinicalscoringsystemtopredictcarbapenemresistantgramnegativebacteriacarriageincriticallyillpatientsuponicuadmission
AT wujing icucarbscoreanovelclinicalscoringsystemtopredictcarbapenemresistantgramnegativebacteriacarriageincriticallyillpatientsuponicuadmission
AT gufeifei icucarbscoreanovelclinicalscoringsystemtopredictcarbapenemresistantgramnegativebacteriacarriageincriticallyillpatientsuponicuadmission
AT wangxiaoli icucarbscoreanovelclinicalscoringsystemtopredictcarbapenemresistantgramnegativebacteriacarriageincriticallyillpatientsuponicuadmission
AT tanruoming icucarbscoreanovelclinicalscoringsystemtopredictcarbapenemresistantgramnegativebacteriacarriageincriticallyillpatientsuponicuadmission
AT quhongping icucarbscoreanovelclinicalscoringsystemtopredictcarbapenemresistantgramnegativebacteriacarriageincriticallyillpatientsuponicuadmission