381 Host-bacterial immune responses to ventilator-associated pneumonia in COVID-19 patients
Objectives/Goals: Ventilator-associated pneumonia (VAP) is an infection caused by bacteria, viruses, or fungi during mechanical ventilation. We analyzed a cohort of COVID-19 patients admitted to the intensive care unit with respiratory failure with different VAP outcomes. We hypothesize that the mul...
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| Format: | Article |
| Language: | English |
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Cambridge University Press
2025-04-01
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| Series: | Journal of Clinical and Translational Science |
| Online Access: | https://www.cambridge.org/core/product/identifier/S2059866124010045/type/journal_article |
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| author | Cecilia Chung Yaa Kyeremateng Kendrew Wong Miao Chang Rajbir Singh Colin Mccormick Anna Czachor Clea Barnett Yonghua Li Tsay Juh-Chieh Leopoldo N. Segal Benjamin G. Wu |
| author_facet | Cecilia Chung Yaa Kyeremateng Kendrew Wong Miao Chang Rajbir Singh Colin Mccormick Anna Czachor Clea Barnett Yonghua Li Tsay Juh-Chieh Leopoldo N. Segal Benjamin G. Wu |
| author_sort | Cecilia Chung |
| collection | DOAJ |
| description | Objectives/Goals: Ventilator-associated pneumonia (VAP) is an infection caused by bacteria, viruses, or fungi during mechanical ventilation. We analyzed a cohort of COVID-19 patients admitted to the intensive care unit with respiratory failure with different VAP outcomes. We hypothesize that the multiomics data can help predict VAP development within this cohort. Methods/Study Population: We recruited participants from a cohort on a NYU IRB protocol (i22–00616), who had COVID19 respiratory failure, admitted to ICU, and required invasive mechanical ventilation (n = 245). We collected and analyzed research specimens (bronchoalveolar lavage [BAL, n = 213], tracheal aspirates [n = 246], background [n = 18]) and clinical cultures (sputum and BAL) for 245 participants. A panel of experts adjudicated VAP within the cohort, resulting in 92 VAP diagnoses. We annotated metatranscriptome (Illumina NovaSeq) using a Kraken/Bracken database, and KEGG for functional annotation of transcriptome data (Illumina HiSeq). We used edgeR (v.4.0.16) to analyze differential expression of metatranscriptome and transcriptome data. Results/Anticipated Results: We diagnosed VAP in n = 92 (38%) participants. We found significant differences in days of overall hospital stay (p Discussion/Significance of Impact: VAP is a serious complication of mechanical ventilation, and oral commensals alter the lung microbiome and host immunity. We identified a transcriptome-metatranscriptome signature that identifies those at VAP risk. VAP was associate with both pro- and anti-inflammatory gene expression resulting in increased risk for lower airway infection. |
| format | Article |
| id | doaj-art-4b183eea0d8c4fa9be483d4ef6cf673f |
| institution | DOAJ |
| issn | 2059-8661 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | Journal of Clinical and Translational Science |
| spelling | doaj-art-4b183eea0d8c4fa9be483d4ef6cf673f2025-08-20T02:40:52ZengCambridge University PressJournal of Clinical and Translational Science2059-86612025-04-01911811810.1017/cts.2024.1004381 Host-bacterial immune responses to ventilator-associated pneumonia in COVID-19 patientsCecilia Chung0Yaa Kyeremateng1Kendrew Wong2Miao Chang3Rajbir Singh4Colin Mccormick5Anna Czachor6Clea Barnett7Yonghua Li8Tsay Juh-Chieh9Leopoldo N. Segal10Benjamin G. Wu11New York University Clinical and Translational Science Institute (NYU Grossman School of Medicine)New York University Grossman School of Medicine – NYUGSoMNew York University Grossman School of Medicine – NYUGSoMNew York University Grossman School of Medicine – NYUGSoMNew York University Grossman School of Medicine – NYUGSoMNew York University Grossman School of Medicine – NYUGSoMNew York University Grossman School of Medicine – NYUGSoMNew York University Grossman School of Medicine – NYUGSoMNew York University Grossman School of Medicine – NYUGSoMNew York Harbor Healthcare SystemNew York University Grossman School of Medicine – NYUGSoMNew York Harbor Healthcare SystemObjectives/Goals: Ventilator-associated pneumonia (VAP) is an infection caused by bacteria, viruses, or fungi during mechanical ventilation. We analyzed a cohort of COVID-19 patients admitted to the intensive care unit with respiratory failure with different VAP outcomes. We hypothesize that the multiomics data can help predict VAP development within this cohort. Methods/Study Population: We recruited participants from a cohort on a NYU IRB protocol (i22–00616), who had COVID19 respiratory failure, admitted to ICU, and required invasive mechanical ventilation (n = 245). We collected and analyzed research specimens (bronchoalveolar lavage [BAL, n = 213], tracheal aspirates [n = 246], background [n = 18]) and clinical cultures (sputum and BAL) for 245 participants. A panel of experts adjudicated VAP within the cohort, resulting in 92 VAP diagnoses. We annotated metatranscriptome (Illumina NovaSeq) using a Kraken/Bracken database, and KEGG for functional annotation of transcriptome data (Illumina HiSeq). We used edgeR (v.4.0.16) to analyze differential expression of metatranscriptome and transcriptome data. Results/Anticipated Results: We diagnosed VAP in n = 92 (38%) participants. We found significant differences in days of overall hospital stay (p Discussion/Significance of Impact: VAP is a serious complication of mechanical ventilation, and oral commensals alter the lung microbiome and host immunity. We identified a transcriptome-metatranscriptome signature that identifies those at VAP risk. VAP was associate with both pro- and anti-inflammatory gene expression resulting in increased risk for lower airway infection.https://www.cambridge.org/core/product/identifier/S2059866124010045/type/journal_article |
| spellingShingle | Cecilia Chung Yaa Kyeremateng Kendrew Wong Miao Chang Rajbir Singh Colin Mccormick Anna Czachor Clea Barnett Yonghua Li Tsay Juh-Chieh Leopoldo N. Segal Benjamin G. Wu 381 Host-bacterial immune responses to ventilator-associated pneumonia in COVID-19 patients Journal of Clinical and Translational Science |
| title | 381 Host-bacterial immune responses to ventilator-associated pneumonia in COVID-19 patients |
| title_full | 381 Host-bacterial immune responses to ventilator-associated pneumonia in COVID-19 patients |
| title_fullStr | 381 Host-bacterial immune responses to ventilator-associated pneumonia in COVID-19 patients |
| title_full_unstemmed | 381 Host-bacterial immune responses to ventilator-associated pneumonia in COVID-19 patients |
| title_short | 381 Host-bacterial immune responses to ventilator-associated pneumonia in COVID-19 patients |
| title_sort | 381 host bacterial immune responses to ventilator associated pneumonia in covid 19 patients |
| url | https://www.cambridge.org/core/product/identifier/S2059866124010045/type/journal_article |
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