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1482. Local validation of the drug resistance in pneumonia clinical prediction score at a large academic medical center and a community hospital
BACKGROUND: Community-acquired pneumonia (CAP) is responsible for ~1 million emergency department (ED) visits yearly and the leading cause of infection-related deaths. Given that increasing antibiotic resistance rates complicate appropriate empiric antibiotic selection, clinicians may benefit from t...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7778133/ http://dx.doi.org/10.1093/ofid/ofaa439.1663 |
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author | Reinhard, Jennifer L Elshaboury, Ramy H Hayes, Bryan D Mallada, Jason Paras, Molly L Bidell, Monique R Adamsick, Meagan L Gandhi, Ronak G |
author_facet | Reinhard, Jennifer L Elshaboury, Ramy H Hayes, Bryan D Mallada, Jason Paras, Molly L Bidell, Monique R Adamsick, Meagan L Gandhi, Ronak G |
author_sort | Reinhard, Jennifer L |
collection | PubMed |
description | BACKGROUND: Community-acquired pneumonia (CAP) is responsible for ~1 million emergency department (ED) visits yearly and the leading cause of infection-related deaths. Given that increasing antibiotic resistance rates complicate appropriate empiric antibiotic selection, clinicians may benefit from tools to help identify patients at risk for drug-resistant pathogens (DRPs). Limitations of traditional tools, such as healthcare-associated pneumonia criteria (HCAP), have led to development of novel scoring tools such as the drug resistance in pneumonia (DRIP) score. Webb et al. showed the DRIP score was more predictive of CAP caused by DRPs than HCAP criteria. The objective of this study was to validate the DRIP score in a local population of hospitalized patients at an academic and a community medical center. METHODS: Patients who presented to the ED between May 2017 and May 2019 were included in this retrospective review. Patients were included if they were ≥ 18 years diagnosed with CAP by radiographic evidence with respiratory culture positivity and susceptibility results. Exclusion criteria were: presence of non-bacterial non-respiratory pathogens, patients with cystic fibrosis, lung transplant or systemic co-infections. The primary outcome was validation of the DRIP score by comparing the sensitivity, specificity, negative and positive predictive values (NPV/PPV) to the derivation and validation study by Webb et al. Secondary outcomes were the percentage of CAP cases with DRPs and the predictability of DRP using the DRIP score versus HCAP criteria. RESULTS: A total of 164 patients were included; 60.4% were male with a median age of 70 years. The primary outcome shown in Table 1 demonstrated similar sensitivity, specificity, NPV, and PPV of the DRIP score to those in the study by Webb et al. Staphylococcus aureus (32.9%) and Streptococcus pneumoniae (27.4%) were the most commonly isolated pathogens and CAP due to DRPs occurred in 30.5% of patients. The DRIP score also demonstrated improved performance in predicting DRPs in CAP compared to the HCAP Criteria as shown in Table 2. Table 1. DRIP Score Validation [Image: see text] Table 2. Predictability of the DRIP score vs. HCAP criteria [Image: see text] CONCLUSION: Our results further validate the DRIP score derived by Webb et al. in predicting DRPs in CAP. These results encourage a local prospective evaluation of the DRIP score as an antimicrobial stewardship tool. DISCLOSURES: All Authors: No reported disclosures |
format | Online Article Text |
id | pubmed-7778133 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77781332021-01-07 1482. Local validation of the drug resistance in pneumonia clinical prediction score at a large academic medical center and a community hospital Reinhard, Jennifer L Elshaboury, Ramy H Hayes, Bryan D Mallada, Jason Paras, Molly L Bidell, Monique R Adamsick, Meagan L Gandhi, Ronak G Open Forum Infect Dis Poster Abstracts BACKGROUND: Community-acquired pneumonia (CAP) is responsible for ~1 million emergency department (ED) visits yearly and the leading cause of infection-related deaths. Given that increasing antibiotic resistance rates complicate appropriate empiric antibiotic selection, clinicians may benefit from tools to help identify patients at risk for drug-resistant pathogens (DRPs). Limitations of traditional tools, such as healthcare-associated pneumonia criteria (HCAP), have led to development of novel scoring tools such as the drug resistance in pneumonia (DRIP) score. Webb et al. showed the DRIP score was more predictive of CAP caused by DRPs than HCAP criteria. The objective of this study was to validate the DRIP score in a local population of hospitalized patients at an academic and a community medical center. METHODS: Patients who presented to the ED between May 2017 and May 2019 were included in this retrospective review. Patients were included if they were ≥ 18 years diagnosed with CAP by radiographic evidence with respiratory culture positivity and susceptibility results. Exclusion criteria were: presence of non-bacterial non-respiratory pathogens, patients with cystic fibrosis, lung transplant or systemic co-infections. The primary outcome was validation of the DRIP score by comparing the sensitivity, specificity, negative and positive predictive values (NPV/PPV) to the derivation and validation study by Webb et al. Secondary outcomes were the percentage of CAP cases with DRPs and the predictability of DRP using the DRIP score versus HCAP criteria. RESULTS: A total of 164 patients were included; 60.4% were male with a median age of 70 years. The primary outcome shown in Table 1 demonstrated similar sensitivity, specificity, NPV, and PPV of the DRIP score to those in the study by Webb et al. Staphylococcus aureus (32.9%) and Streptococcus pneumoniae (27.4%) were the most commonly isolated pathogens and CAP due to DRPs occurred in 30.5% of patients. The DRIP score also demonstrated improved performance in predicting DRPs in CAP compared to the HCAP Criteria as shown in Table 2. Table 1. DRIP Score Validation [Image: see text] Table 2. Predictability of the DRIP score vs. HCAP criteria [Image: see text] CONCLUSION: Our results further validate the DRIP score derived by Webb et al. in predicting DRPs in CAP. These results encourage a local prospective evaluation of the DRIP score as an antimicrobial stewardship tool. DISCLOSURES: All Authors: No reported disclosures Oxford University Press 2020-12-31 /pmc/articles/PMC7778133/ http://dx.doi.org/10.1093/ofid/ofaa439.1663 Text en © The Author 2020. 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 | Poster Abstracts Reinhard, Jennifer L Elshaboury, Ramy H Hayes, Bryan D Mallada, Jason Paras, Molly L Bidell, Monique R Adamsick, Meagan L Gandhi, Ronak G 1482. Local validation of the drug resistance in pneumonia clinical prediction score at a large academic medical center and a community hospital |
title | 1482. Local validation of the drug resistance in pneumonia clinical prediction score at a large academic medical center and a community hospital |
title_full | 1482. Local validation of the drug resistance in pneumonia clinical prediction score at a large academic medical center and a community hospital |
title_fullStr | 1482. Local validation of the drug resistance in pneumonia clinical prediction score at a large academic medical center and a community hospital |
title_full_unstemmed | 1482. Local validation of the drug resistance in pneumonia clinical prediction score at a large academic medical center and a community hospital |
title_short | 1482. Local validation of the drug resistance in pneumonia clinical prediction score at a large academic medical center and a community hospital |
title_sort | 1482. local validation of the drug resistance in pneumonia clinical prediction score at a large academic medical center and a community hospital |
topic | Poster Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7778133/ http://dx.doi.org/10.1093/ofid/ofaa439.1663 |
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