Cargando…
Predictors and outcomes of acute pulmonary embolism in COVID-19; insights from US National COVID cohort collaborative
OBJECTIVES: To investigate whether COVID-19 patients with pulmonary embolism had higher mortality and assess the utility of d-dimer in predicting acute pulmonary embolism. PATIENTS AND METHODS: Using the National Collaborative COVID-19 retrospective cohort, a cohort of hospitalized COVID-19 patients...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9942071/ https://www.ncbi.nlm.nih.gov/pubmed/36810085 http://dx.doi.org/10.1186/s12931-023-02369-7 |
_version_ | 1784891414396534784 |
---|---|
author | Gul, Muhammad H. Htun, Zin Mar de Jesus Perez, Vinicio Suleman, Muhammad Arshad, Samiullah Imran, Muhammad Vyasabattu, Mahender Wood, Jeremy P. Anstead, Michael Morris, Peter E. |
author_facet | Gul, Muhammad H. Htun, Zin Mar de Jesus Perez, Vinicio Suleman, Muhammad Arshad, Samiullah Imran, Muhammad Vyasabattu, Mahender Wood, Jeremy P. Anstead, Michael Morris, Peter E. |
author_sort | Gul, Muhammad H. |
collection | PubMed |
description | OBJECTIVES: To investigate whether COVID-19 patients with pulmonary embolism had higher mortality and assess the utility of d-dimer in predicting acute pulmonary embolism. PATIENTS AND METHODS: Using the National Collaborative COVID-19 retrospective cohort, a cohort of hospitalized COVID-19 patients was studied to compare 90-day mortality and intubation outcomes in patients with and without pulmonary embolism in a multivariable cox regression analysis. The secondary measured outcomes in 1:4 propensity score-matched analysis included length of stay, chest pain incidence, heart rate, history of pulmonary embolism or DVT, and admission laboratory parameters. RESULTS: Among 31,500 hospitalized COVID-19 patients, 1117 (3.5%) patients were diagnosed with acute pulmonary embolism. Patients with acute pulmonary embolism were noted to have higher mortality (23.6% vs.12.8%; adjusted Hazard Ratio (aHR) = 1.36, 95% CI [1.20–1.55]), and intubation rates (17.6% vs. 9.3%, aHR = 1.38[1.18–1.61]). Pulmonary embolism patients had higher admission D-dimer FEU (Odds Ratio(OR) = 1.13; 95%CI [1.1–1.15]). As the d-dimer value increased, the specificity, positive predictive value, and accuracy of the test increased; however, sensitivity decreased (AUC 0.70). At cut-off d-dimer FEU 1.8 mcg/ml, the test had clinical utility (accuracy 70%) in predicting pulmonary embolism. Patients with acute pulmonary embolism had a higher incidence of chest pain and history of pulmonary embolism or deep vein thrombosis. CONCLUSIONS: Acute pulmonary embolism is associated with worse mortality and morbidity outcomes in COVID-19. We present d-dimer as a predictive risk tool in the form of a clinical calculator for the diagnosis of acute pulmonary embolism in COVID-19. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12931-023-02369-7. |
format | Online Article Text |
id | pubmed-9942071 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-99420712023-02-21 Predictors and outcomes of acute pulmonary embolism in COVID-19; insights from US National COVID cohort collaborative Gul, Muhammad H. Htun, Zin Mar de Jesus Perez, Vinicio Suleman, Muhammad Arshad, Samiullah Imran, Muhammad Vyasabattu, Mahender Wood, Jeremy P. Anstead, Michael Morris, Peter E. Respir Res Research OBJECTIVES: To investigate whether COVID-19 patients with pulmonary embolism had higher mortality and assess the utility of d-dimer in predicting acute pulmonary embolism. PATIENTS AND METHODS: Using the National Collaborative COVID-19 retrospective cohort, a cohort of hospitalized COVID-19 patients was studied to compare 90-day mortality and intubation outcomes in patients with and without pulmonary embolism in a multivariable cox regression analysis. The secondary measured outcomes in 1:4 propensity score-matched analysis included length of stay, chest pain incidence, heart rate, history of pulmonary embolism or DVT, and admission laboratory parameters. RESULTS: Among 31,500 hospitalized COVID-19 patients, 1117 (3.5%) patients were diagnosed with acute pulmonary embolism. Patients with acute pulmonary embolism were noted to have higher mortality (23.6% vs.12.8%; adjusted Hazard Ratio (aHR) = 1.36, 95% CI [1.20–1.55]), and intubation rates (17.6% vs. 9.3%, aHR = 1.38[1.18–1.61]). Pulmonary embolism patients had higher admission D-dimer FEU (Odds Ratio(OR) = 1.13; 95%CI [1.1–1.15]). As the d-dimer value increased, the specificity, positive predictive value, and accuracy of the test increased; however, sensitivity decreased (AUC 0.70). At cut-off d-dimer FEU 1.8 mcg/ml, the test had clinical utility (accuracy 70%) in predicting pulmonary embolism. Patients with acute pulmonary embolism had a higher incidence of chest pain and history of pulmonary embolism or deep vein thrombosis. CONCLUSIONS: Acute pulmonary embolism is associated with worse mortality and morbidity outcomes in COVID-19. We present d-dimer as a predictive risk tool in the form of a clinical calculator for the diagnosis of acute pulmonary embolism in COVID-19. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12931-023-02369-7. BioMed Central 2023-02-21 2023 /pmc/articles/PMC9942071/ /pubmed/36810085 http://dx.doi.org/10.1186/s12931-023-02369-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Gul, Muhammad H. Htun, Zin Mar de Jesus Perez, Vinicio Suleman, Muhammad Arshad, Samiullah Imran, Muhammad Vyasabattu, Mahender Wood, Jeremy P. Anstead, Michael Morris, Peter E. Predictors and outcomes of acute pulmonary embolism in COVID-19; insights from US National COVID cohort collaborative |
title | Predictors and outcomes of acute pulmonary embolism in COVID-19; insights from US National COVID cohort collaborative |
title_full | Predictors and outcomes of acute pulmonary embolism in COVID-19; insights from US National COVID cohort collaborative |
title_fullStr | Predictors and outcomes of acute pulmonary embolism in COVID-19; insights from US National COVID cohort collaborative |
title_full_unstemmed | Predictors and outcomes of acute pulmonary embolism in COVID-19; insights from US National COVID cohort collaborative |
title_short | Predictors and outcomes of acute pulmonary embolism in COVID-19; insights from US National COVID cohort collaborative |
title_sort | predictors and outcomes of acute pulmonary embolism in covid-19; insights from us national covid cohort collaborative |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9942071/ https://www.ncbi.nlm.nih.gov/pubmed/36810085 http://dx.doi.org/10.1186/s12931-023-02369-7 |
work_keys_str_mv | AT gulmuhammadh predictorsandoutcomesofacutepulmonaryembolismincovid19insightsfromusnationalcovidcohortcollaborative AT htunzinmar predictorsandoutcomesofacutepulmonaryembolismincovid19insightsfromusnationalcovidcohortcollaborative AT dejesusperezvinicio predictorsandoutcomesofacutepulmonaryembolismincovid19insightsfromusnationalcovidcohortcollaborative AT sulemanmuhammad predictorsandoutcomesofacutepulmonaryembolismincovid19insightsfromusnationalcovidcohortcollaborative AT arshadsamiullah predictorsandoutcomesofacutepulmonaryembolismincovid19insightsfromusnationalcovidcohortcollaborative AT imranmuhammad predictorsandoutcomesofacutepulmonaryembolismincovid19insightsfromusnationalcovidcohortcollaborative AT vyasabattumahender predictorsandoutcomesofacutepulmonaryembolismincovid19insightsfromusnationalcovidcohortcollaborative AT woodjeremyp predictorsandoutcomesofacutepulmonaryembolismincovid19insightsfromusnationalcovidcohortcollaborative AT ansteadmichael predictorsandoutcomesofacutepulmonaryembolismincovid19insightsfromusnationalcovidcohortcollaborative AT morrispetere predictorsandoutcomesofacutepulmonaryembolismincovid19insightsfromusnationalcovidcohortcollaborative |