Table 2_Development and validation of a nomogram-based prediction model for hospital-acquired carbapenem-resistant Acinetobacter baumannii in critically ill patients: a multicenter retrospective cohort study.docx
Background<p>Carbapenem-resistant Acinetobacter baumannii (CRAB) remains a major challenge in intensive care units (ICUs), posing substantial risks for colonization, infection, and transmission. Timely identification of patients at risk for hospital-acquired CRAB is essential to guide infectio...
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2025
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| _version_ | 1849927622815907840 |
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| author | Wenjing Jiang (7436471) |
| author2 | Anna Dai (8969132) Li Cao (106383) Min Feng (141118) Ping Zhou (144535) Jun Cheng (194158) Yan Tang (195081) Xianglin Luo (2321743) Juan Tang (437969) |
| author2_role | author author author author author author author author |
| author_facet | Wenjing Jiang (7436471) Anna Dai (8969132) Li Cao (106383) Min Feng (141118) Ping Zhou (144535) Jun Cheng (194158) Yan Tang (195081) Xianglin Luo (2321743) Juan Tang (437969) |
| author_role | author |
| dc.creator.none.fl_str_mv | Wenjing Jiang (7436471) Anna Dai (8969132) Li Cao (106383) Min Feng (141118) Ping Zhou (144535) Jun Cheng (194158) Yan Tang (195081) Xianglin Luo (2321743) Juan Tang (437969) |
| dc.date.none.fl_str_mv | 2025-11-26T06:33:30Z |
| dc.identifier.none.fl_str_mv | 10.3389/fcimb.2025.1679272.s001 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Table_2_Development_and_validation_of_a_nomogram-based_prediction_model_for_hospital-acquired_carbapenem-resistant_Acinetobacter_baumannii_in_critically_ill_patients_a_multicenter_retrospective_cohort_study_docx/30718661 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Clinical Microbiology carbapenem-resistant Acinetobacter baumannii hospital-acquired infection intensive care unit nomogram risk prediction model multidrug-resistant organisms |
| dc.title.none.fl_str_mv | Table 2_Development and validation of a nomogram-based prediction model for hospital-acquired carbapenem-resistant Acinetobacter baumannii in critically ill patients: a multicenter retrospective cohort study.docx |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | Background<p>Carbapenem-resistant Acinetobacter baumannii (CRAB) remains a major challenge in intensive care units (ICUs), posing substantial risks for colonization, infection, and transmission. Timely identification of patients at risk for hospital-acquired CRAB is essential to guide infection prevention and control efforts. This study aimed to develop and internally validate a nomogram for individualized risk prediction of hospital-acquired CRAB colonization or infection among critically ill patients.</p>Methods<p>A retrospective multicenter cohort study was performed including 7,060 ICU patients admitted to two tertiary hospitals in China between January 1, 2019 and December 31, 2024. Candidate predictors were identified through univariate logistic regression and further refined using multivariate logistic regression with backward stepwise selection. A nomogram was subsequently constructed based on the final regression model to predict individualized risk of hospital-acquired CRAB. Model performance was evaluated in separate training and validation cohorts using area under the receiver operating characteristic curve (AUC), calibration plots, and decision curve analysis (DCA).</p>Results<p>Hospital-acquired CRAB colonization or infection was observed in 224 patients (3.17%). Six independent risk factors were retained in the final model: carbapenem exposure, presence of other multidrug-resistant organisms (MDROs), mechanical ventilation, number of ICU admissions, ICU length of stay, and hospital length of stay. The nomogram exhibited strong discriminative capacity (AUC = 0.824 in the training cohort; 0.789 in the validation cohort) and demonstrated good calibration across both cohorts. DCA indicated a consistent net clinical benefit across a wide range of threshold probabilities. A risk cutoff of 0.022 (derived from the Youden index) was selected to prioritize sensitivity for infection prevention in this low-incidence setting.</p>Conclusion<p>This internally validated nomogram provides an accessible tool for early identification of ICU patients at elevated risk of hospital-acquired CRAB colonization or infection. Its integration into clinical practice may facilitate risk-based prevention strategies. Future research should focus on prospective external validation and integration of environmental surveillance and microbiological genomic data to enhance the model’s predictive accuracy and generalizability.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_218d6a29a1b71970baa0ceaccb3e00e2 |
| identifier_str_mv | 10.3389/fcimb.2025.1679272.s001 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/30718661 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Table 2_Development and validation of a nomogram-based prediction model for hospital-acquired carbapenem-resistant Acinetobacter baumannii in critically ill patients: a multicenter retrospective cohort study.docxWenjing Jiang (7436471)Anna Dai (8969132)Li Cao (106383)Min Feng (141118)Ping Zhou (144535)Jun Cheng (194158)Yan Tang (195081)Xianglin Luo (2321743)Juan Tang (437969)Clinical Microbiologycarbapenem-resistant Acinetobacter baumanniihospital-acquired infectionintensive care unitnomogramrisk prediction modelmultidrug-resistant organismsBackground<p>Carbapenem-resistant Acinetobacter baumannii (CRAB) remains a major challenge in intensive care units (ICUs), posing substantial risks for colonization, infection, and transmission. Timely identification of patients at risk for hospital-acquired CRAB is essential to guide infection prevention and control efforts. This study aimed to develop and internally validate a nomogram for individualized risk prediction of hospital-acquired CRAB colonization or infection among critically ill patients.</p>Methods<p>A retrospective multicenter cohort study was performed including 7,060 ICU patients admitted to two tertiary hospitals in China between January 1, 2019 and December 31, 2024. Candidate predictors were identified through univariate logistic regression and further refined using multivariate logistic regression with backward stepwise selection. A nomogram was subsequently constructed based on the final regression model to predict individualized risk of hospital-acquired CRAB. Model performance was evaluated in separate training and validation cohorts using area under the receiver operating characteristic curve (AUC), calibration plots, and decision curve analysis (DCA).</p>Results<p>Hospital-acquired CRAB colonization or infection was observed in 224 patients (3.17%). Six independent risk factors were retained in the final model: carbapenem exposure, presence of other multidrug-resistant organisms (MDROs), mechanical ventilation, number of ICU admissions, ICU length of stay, and hospital length of stay. The nomogram exhibited strong discriminative capacity (AUC = 0.824 in the training cohort; 0.789 in the validation cohort) and demonstrated good calibration across both cohorts. DCA indicated a consistent net clinical benefit across a wide range of threshold probabilities. A risk cutoff of 0.022 (derived from the Youden index) was selected to prioritize sensitivity for infection prevention in this low-incidence setting.</p>Conclusion<p>This internally validated nomogram provides an accessible tool for early identification of ICU patients at elevated risk of hospital-acquired CRAB colonization or infection. Its integration into clinical practice may facilitate risk-based prevention strategies. Future research should focus on prospective external validation and integration of environmental surveillance and microbiological genomic data to enhance the model’s predictive accuracy and generalizability.</p>2025-11-26T06:33:30ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.3389/fcimb.2025.1679272.s001https://figshare.com/articles/dataset/Table_2_Development_and_validation_of_a_nomogram-based_prediction_model_for_hospital-acquired_carbapenem-resistant_Acinetobacter_baumannii_in_critically_ill_patients_a_multicenter_retrospective_cohort_study_docx/30718661CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/307186612025-11-26T06:33:30Z |
| spellingShingle | Table 2_Development and validation of a nomogram-based prediction model for hospital-acquired carbapenem-resistant Acinetobacter baumannii in critically ill patients: a multicenter retrospective cohort study.docx Wenjing Jiang (7436471) Clinical Microbiology carbapenem-resistant Acinetobacter baumannii hospital-acquired infection intensive care unit nomogram risk prediction model multidrug-resistant organisms |
| status_str | publishedVersion |
| title | Table 2_Development and validation of a nomogram-based prediction model for hospital-acquired carbapenem-resistant Acinetobacter baumannii in critically ill patients: a multicenter retrospective cohort study.docx |
| title_full | Table 2_Development and validation of a nomogram-based prediction model for hospital-acquired carbapenem-resistant Acinetobacter baumannii in critically ill patients: a multicenter retrospective cohort study.docx |
| title_fullStr | Table 2_Development and validation of a nomogram-based prediction model for hospital-acquired carbapenem-resistant Acinetobacter baumannii in critically ill patients: a multicenter retrospective cohort study.docx |
| title_full_unstemmed | Table 2_Development and validation of a nomogram-based prediction model for hospital-acquired carbapenem-resistant Acinetobacter baumannii in critically ill patients: a multicenter retrospective cohort study.docx |
| title_short | Table 2_Development and validation of a nomogram-based prediction model for hospital-acquired carbapenem-resistant Acinetobacter baumannii in critically ill patients: a multicenter retrospective cohort study.docx |
| title_sort | Table 2_Development and validation of a nomogram-based prediction model for hospital-acquired carbapenem-resistant Acinetobacter baumannii in critically ill patients: a multicenter retrospective cohort study.docx |
| topic | Clinical Microbiology carbapenem-resistant Acinetobacter baumannii hospital-acquired infection intensive care unit nomogram risk prediction model multidrug-resistant organisms |