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2657. Clinical Prediction Tool for Multidrug-Resistant Organisms Among Deceased Donors at the Time of Donor Evaluation
BACKGROUND: Transplant guidelines recommend exercising caution when considering organs that may be infected or colonized with multidrug-resistant organisms (MDROs) and treating the organ recipient with perioperative antibiotics active against the donor MDRO. Unfortunately, donor MDROs are often iden...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6809870/ http://dx.doi.org/10.1093/ofid/ofz360.2335 |
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author | Anesi, Judith A Anesi, Judith A Blumberg, Emily Han, Jennifer Lee, Dong Heun Clauss, Heather Climaco, Antonette Hasz, Richard Molnar, Esther Alimenti, Darcy West, Sharon Bilker, Warren Tolomeo, Pam C Lautenbach, Ebbing |
author_facet | Anesi, Judith A Anesi, Judith A Blumberg, Emily Han, Jennifer Lee, Dong Heun Clauss, Heather Climaco, Antonette Hasz, Richard Molnar, Esther Alimenti, Darcy West, Sharon Bilker, Warren Tolomeo, Pam C Lautenbach, Ebbing |
author_sort | Anesi, Judith A |
collection | PubMed |
description | BACKGROUND: Transplant guidelines recommend exercising caution when considering organs that may be infected or colonized with multidrug-resistant organisms (MDROs) and treating the organ recipient with perioperative antibiotics active against the donor MDRO. Unfortunately, donor MDROs are often identified only after transplantation. We developed a clinical prediction tool to stratify donors’ MDRO risk at the time of donor evaluation. METHODS: A retrospective cohort study was conducted at four transplant centers in Philadelphia between January1, 2015 and June 30, 2016. All deceased organ donors who donated ≥1 organ to one of the centers were included. Multivariate logistic regression was used to determine predictors of donor MDROs, including methicillin-resistant S. aureus (MRSA), vancomycin-resistant enterococci, extended-spectrum cephalosporin-resistant (ESC-R) or carbapenem-resistant Enterobacteriaceae, multidrug-resistant (MDR) P. aeruginosa, or MDR Acinetobacter species. Manual forward selection was utilized to maximize the area under the receiver operating characteristic curve (AUC). A scoring system was developed based on the odds ratios for each covariate. Internal validity was assessed using the Hosmer–Lemeshow statistic, specificity, and negative predictive value (NPV). RESULTS: Of 440 total donors, 62 (14%) grew MDROs on culture. The majority were MRSA (40) or ESC-R Enterobacteriaceae (20). The most parsimonious model that predicted donor MDROs included: a terminal hospitalization ≥ 7 days (1 point), ≥ 2 antibiotics administered during the terminal hospitalization (1 point), receipt of extracorporeal membrane oxygenation (ECMO) (1 point), and presence of opacities on donor chest imaging concerning for lower respiratory tract infection (2 points). With this scoring system, the maximum attainable score is 5; any donor with a score of ≥ 2 points would be considered high risk for an MDRO, with an AUC of 0.71, specificity of 99%, and NPV of 86%. The Hosmer–Lemeshow P = 0.68. CONCLUSION: The risk of an MDRO among deceased organ donors can be predicted using the above scoring system. This tool will inform decisions about organ utilization and perioperative prophylaxis for solid-organ transplant recipients. [Image: see text] DISCLOSURES: All authors: No reported disclosures. |
format | Online Article Text |
id | pubmed-6809870 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-68098702019-10-28 2657. Clinical Prediction Tool for Multidrug-Resistant Organisms Among Deceased Donors at the Time of Donor Evaluation Anesi, Judith A Anesi, Judith A Blumberg, Emily Han, Jennifer Lee, Dong Heun Clauss, Heather Climaco, Antonette Hasz, Richard Molnar, Esther Alimenti, Darcy West, Sharon Bilker, Warren Tolomeo, Pam C Lautenbach, Ebbing Open Forum Infect Dis Abstracts BACKGROUND: Transplant guidelines recommend exercising caution when considering organs that may be infected or colonized with multidrug-resistant organisms (MDROs) and treating the organ recipient with perioperative antibiotics active against the donor MDRO. Unfortunately, donor MDROs are often identified only after transplantation. We developed a clinical prediction tool to stratify donors’ MDRO risk at the time of donor evaluation. METHODS: A retrospective cohort study was conducted at four transplant centers in Philadelphia between January1, 2015 and June 30, 2016. All deceased organ donors who donated ≥1 organ to one of the centers were included. Multivariate logistic regression was used to determine predictors of donor MDROs, including methicillin-resistant S. aureus (MRSA), vancomycin-resistant enterococci, extended-spectrum cephalosporin-resistant (ESC-R) or carbapenem-resistant Enterobacteriaceae, multidrug-resistant (MDR) P. aeruginosa, or MDR Acinetobacter species. Manual forward selection was utilized to maximize the area under the receiver operating characteristic curve (AUC). A scoring system was developed based on the odds ratios for each covariate. Internal validity was assessed using the Hosmer–Lemeshow statistic, specificity, and negative predictive value (NPV). RESULTS: Of 440 total donors, 62 (14%) grew MDROs on culture. The majority were MRSA (40) or ESC-R Enterobacteriaceae (20). The most parsimonious model that predicted donor MDROs included: a terminal hospitalization ≥ 7 days (1 point), ≥ 2 antibiotics administered during the terminal hospitalization (1 point), receipt of extracorporeal membrane oxygenation (ECMO) (1 point), and presence of opacities on donor chest imaging concerning for lower respiratory tract infection (2 points). With this scoring system, the maximum attainable score is 5; any donor with a score of ≥ 2 points would be considered high risk for an MDRO, with an AUC of 0.71, specificity of 99%, and NPV of 86%. The Hosmer–Lemeshow P = 0.68. CONCLUSION: The risk of an MDRO among deceased organ donors can be predicted using the above scoring system. This tool will inform decisions about organ utilization and perioperative prophylaxis for solid-organ transplant recipients. [Image: see text] DISCLOSURES: All authors: No reported disclosures. Oxford University Press 2019-10-23 /pmc/articles/PMC6809870/ http://dx.doi.org/10.1093/ofid/ofz360.2335 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Abstracts Anesi, Judith A Anesi, Judith A Blumberg, Emily Han, Jennifer Lee, Dong Heun Clauss, Heather Climaco, Antonette Hasz, Richard Molnar, Esther Alimenti, Darcy West, Sharon Bilker, Warren Tolomeo, Pam C Lautenbach, Ebbing 2657. Clinical Prediction Tool for Multidrug-Resistant Organisms Among Deceased Donors at the Time of Donor Evaluation |
title | 2657. Clinical Prediction Tool for Multidrug-Resistant Organisms Among Deceased Donors at the Time of Donor Evaluation |
title_full | 2657. Clinical Prediction Tool for Multidrug-Resistant Organisms Among Deceased Donors at the Time of Donor Evaluation |
title_fullStr | 2657. Clinical Prediction Tool for Multidrug-Resistant Organisms Among Deceased Donors at the Time of Donor Evaluation |
title_full_unstemmed | 2657. Clinical Prediction Tool for Multidrug-Resistant Organisms Among Deceased Donors at the Time of Donor Evaluation |
title_short | 2657. Clinical Prediction Tool for Multidrug-Resistant Organisms Among Deceased Donors at the Time of Donor Evaluation |
title_sort | 2657. clinical prediction tool for multidrug-resistant organisms among deceased donors at the time of donor evaluation |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6809870/ http://dx.doi.org/10.1093/ofid/ofz360.2335 |
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