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COVID-19 in patients with cancer: can baseline radiologic severity and early evolution predict clinical outcomes?
OBJECTIVE: To determine whether the degree of parenchymal involvement on chest radiograph (CXR) at the time of COVID-19 diagnosis and its early radiologic evolution can predict adverse events including hospitalization, intubation, and death in patients with cancer. METHODS: Retrospective study of 62...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8556839/ https://www.ncbi.nlm.nih.gov/pubmed/34718846 http://dx.doi.org/10.1007/s00330-021-08341-7 |
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author | Perez-Johnston, Rocio Araujo-Filho, Jose Mckenney, Anna S. Gangai, Natalie Plodkowski, Andrew J. Liu, Corinne C. Sawan, Peter Taur, Ying Morjaria, Sejal M. Ginsberg, Michelle S. |
author_facet | Perez-Johnston, Rocio Araujo-Filho, Jose Mckenney, Anna S. Gangai, Natalie Plodkowski, Andrew J. Liu, Corinne C. Sawan, Peter Taur, Ying Morjaria, Sejal M. Ginsberg, Michelle S. |
author_sort | Perez-Johnston, Rocio |
collection | PubMed |
description | OBJECTIVE: To determine whether the degree of parenchymal involvement on chest radiograph (CXR) at the time of COVID-19 diagnosis and its early radiologic evolution can predict adverse events including hospitalization, intubation, and death in patients with cancer. METHODS: Retrospective study of 627 COVID-19-positive patients between March and April 2020, of which 248 had baseline CXR within 72 h of diagnosis and 64 patients had follow-up wihtin72 h. CXRs were classified as abnormal (i.e., radiologic findings suggestive of COVID-19 infection were noted), normal, or indeterminate. Baseline and follow-up severity scores were calculated based on lung regions in abnormal CXRs. Statistical analysis was performed to determine associations between abnormal CXR or severity score with adverse events. RESULTS: Of 248 patients (median age = 65) with a baseline CXR, 172/248 (69%) had an abnormal baseline study, which was associated with hospitalization (p < 0.001), intubation (p = 0.001), and death (p = 0.005). For patients with solid neoplasms, when adjusted for stage, it was associated with hospitalization (p = 0.0002), intubation (p = 0.019), and death (p = 0.03). The median baseline severity score was 3 (range = 1–10); the greater the score, the higher the likelihood of adverse outcome (p < 0.003 for all). A baseline severity score > 9 predicted > 50% probability of intubation and a score of ≥ 10 predicted > 50% of probability of death. The baseline severity score was not correlated with cancer-related treatment. Early radiologic progression was not correlated with hospitalization, intubation, or death. CONCLUSION: The degree of parenchymal involvement on CXR within 72 h of COVID-19 diagnosis is associated with adverse outcomes in patients with cancer. KEY POINTS: • In patients with cancer, the presence and severity of radiologic manifestation of COVID-19 on chest radiographs within 72 h of COVID-19 diagnosis are associated with hospitalization, intubation, and death. • Early radiologic progression on chest radiographs is not correlated with adverse outcomes. |
format | Online Article Text |
id | pubmed-8556839 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-85568392021-11-01 COVID-19 in patients with cancer: can baseline radiologic severity and early evolution predict clinical outcomes? Perez-Johnston, Rocio Araujo-Filho, Jose Mckenney, Anna S. Gangai, Natalie Plodkowski, Andrew J. Liu, Corinne C. Sawan, Peter Taur, Ying Morjaria, Sejal M. Ginsberg, Michelle S. Eur Radiol Chest OBJECTIVE: To determine whether the degree of parenchymal involvement on chest radiograph (CXR) at the time of COVID-19 diagnosis and its early radiologic evolution can predict adverse events including hospitalization, intubation, and death in patients with cancer. METHODS: Retrospective study of 627 COVID-19-positive patients between March and April 2020, of which 248 had baseline CXR within 72 h of diagnosis and 64 patients had follow-up wihtin72 h. CXRs were classified as abnormal (i.e., radiologic findings suggestive of COVID-19 infection were noted), normal, or indeterminate. Baseline and follow-up severity scores were calculated based on lung regions in abnormal CXRs. Statistical analysis was performed to determine associations between abnormal CXR or severity score with adverse events. RESULTS: Of 248 patients (median age = 65) with a baseline CXR, 172/248 (69%) had an abnormal baseline study, which was associated with hospitalization (p < 0.001), intubation (p = 0.001), and death (p = 0.005). For patients with solid neoplasms, when adjusted for stage, it was associated with hospitalization (p = 0.0002), intubation (p = 0.019), and death (p = 0.03). The median baseline severity score was 3 (range = 1–10); the greater the score, the higher the likelihood of adverse outcome (p < 0.003 for all). A baseline severity score > 9 predicted > 50% probability of intubation and a score of ≥ 10 predicted > 50% of probability of death. The baseline severity score was not correlated with cancer-related treatment. Early radiologic progression was not correlated with hospitalization, intubation, or death. CONCLUSION: The degree of parenchymal involvement on CXR within 72 h of COVID-19 diagnosis is associated with adverse outcomes in patients with cancer. KEY POINTS: • In patients with cancer, the presence and severity of radiologic manifestation of COVID-19 on chest radiographs within 72 h of COVID-19 diagnosis are associated with hospitalization, intubation, and death. • Early radiologic progression on chest radiographs is not correlated with adverse outcomes. Springer Berlin Heidelberg 2021-10-30 2022 /pmc/articles/PMC8556839/ /pubmed/34718846 http://dx.doi.org/10.1007/s00330-021-08341-7 Text en © European Society of Radiology 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Chest Perez-Johnston, Rocio Araujo-Filho, Jose Mckenney, Anna S. Gangai, Natalie Plodkowski, Andrew J. Liu, Corinne C. Sawan, Peter Taur, Ying Morjaria, Sejal M. Ginsberg, Michelle S. COVID-19 in patients with cancer: can baseline radiologic severity and early evolution predict clinical outcomes? |
title | COVID-19 in patients with cancer: can baseline radiologic severity and early evolution predict clinical outcomes? |
title_full | COVID-19 in patients with cancer: can baseline radiologic severity and early evolution predict clinical outcomes? |
title_fullStr | COVID-19 in patients with cancer: can baseline radiologic severity and early evolution predict clinical outcomes? |
title_full_unstemmed | COVID-19 in patients with cancer: can baseline radiologic severity and early evolution predict clinical outcomes? |
title_short | COVID-19 in patients with cancer: can baseline radiologic severity and early evolution predict clinical outcomes? |
title_sort | covid-19 in patients with cancer: can baseline radiologic severity and early evolution predict clinical outcomes? |
topic | Chest |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8556839/ https://www.ncbi.nlm.nih.gov/pubmed/34718846 http://dx.doi.org/10.1007/s00330-021-08341-7 |
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