Active cancer as the main predictor of mortality for COVID-19 in oncology patients in a specialized center
Descripción del Articulo
Introduction: The role of the type, stage and status of cancer in the outcome of COVID-19 remains unclear. Moreover, the characteristic pathological changes of severe COVID-19 reveled by laboratory and radiological findings are similar to those due to the development of cancer itself and antineoplas...
| Autores: | , , , , , , , , , |
|---|---|
| Formato: | artículo |
| Fecha de Publicación: | 2023 |
| Institución: | Instituto Nacional de Enfermedades Neoplásicas |
| Repositorio: | INEN-Institucional |
| Lenguaje: | inglés |
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| Enlace del recurso: | https://hdl.handle.net/20.500.14703/186 |
| Nivel de acceso: | acceso abierto |
| Materia: | active cancer biomarkers death prognosis imaging study SARS-CoV-2 https://purl.org/pe-repo/ocde/ford#3.02.21 |
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PublicationVillanueva-Cotrina, FVelarde, JRodriguez, RBonilla, ALaura, MSaavedra, TPortillo-Alvarez, DBustamante, YFernandez, CGalvez-Nino, M.2024-11-27T17:33:20Z2024-11-27T17:33:20Z202310.3389/pore.2023.1611236https://hdl.handle.net/20.500.14703/186Pathology and Oncology ResearchIntroduction: The role of the type, stage and status of cancer in the outcome of COVID-19 remains unclear. Moreover, the characteristic pathological changes of severe COVID-19 reveled by laboratory and radiological findings are similar to those due to the development of cancer itself and antineoplastic therapies. Objective: To identify potential predictors of mortality of COVID-19 in cancer patients. Materials and methods: A retrospective and cross-sectional study was carried out in patients with clinical suspicion of COVID-19 who were confirmed for COVID-19 diagnosis by RT-PCR testing at the National Institute of Neoplastic Diseases between April and December 2020. Demographic, clinical, laboratory and radiological data were analyzed. Statistical analyses included area under the curve and univariate and multivariate logistic regression analyses. Results: A total of 226 patients had clinical suspicion of COVID-19, the diagnosis was confirmed in 177 (78.3%), and 70/177 (39.5%) died. Age, active cancer, leukocyte count ≥12.8 × 109/L, urea ≥7.4 mmol/L, ferritin ≥1,640, lactate ≥2.0 mmol/L, and lung involvement ≥35% were found to be independent predictors of COVID-19 mortality. Conclusion: Active cancer represents the main prognosis factor of death, while the role of cancer stage and type is unclear. Chest CT is a useful tool in the prognosis of death from COVID-19 in cancer patients. It is a challenge to establish the prognostic utility of laboratory markers as their altered values it could have either oncological or pandemic origins. Copyright © 2023 Villanueva-Cotrina, Velarde, Rodriguez, Bonilla, Laura, Saavedra, Portillo-Alvarez, Bustamante, Fernandez and Galvez-Nino.application/pdfengFrontiers Media SACHinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/4.0/active cancerbiomarkersdeath prognosisimaging studySARS-CoV-2https://purl.org/pe-repo/ocde/ford#3.02.21Active cancer as the main predictor of mortality for COVID-19 in oncology patients in a specialized centerinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionreponame:INEN-Institucionalinstname:Instituto Nacional de Enfermedades Neoplásicasinstacron:INENORIGINAL03 Febrero 2025.pdfapplication/pdf650676https://repositorio.inen.sld.pe/backend/api/core/bitstreams/9fe5dfdb-1220-4045-80d7-7e48678e7f10/download370c8cf7d4e070a6b749a81f888b336eMD51trueAnonymousREADTEXT03 Febrero 2025.pdf.txtWritten by FormatFilter org.dspace.app.mediafilter.TikaTextExtractionFilter on 2025-03-29T20:37:18Z (GMT).Extracted texttext/plain54018https://repositorio.inen.sld.pe/backend/api/core/bitstreams/4caa5deb-a80f-42f8-ab58-b289db9aa6e6/download0882ef23752217ba41c4973966495830MD54falseAnonymousREADTHUMBNAIL03 Febrero 2025.pdf.jpgWritten by FormatFilter org.dspace.app.mediafilter.PDFBoxThumbnail on 2025-03-29T20:37:19Z (GMT).Generated Thumbnailimage/jpeg33576https://repositorio.inen.sld.pe/backend/api/core/bitstreams/5361c7fb-b44c-490a-8781-49a132048995/download39b52858d0ef2366f11b7ee8ec47cae2MD55falseAnonymousREAD20.500.14703/186oai:repositorio.inen.sld.pe:20.500.14703/1862026-02-15T20:42:37.629Zhttps://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessopen.accesshttps://repositorio.inen.sld.peRepositorio del Instituto Nacional de Enfermedades Neoplásicasrepositorio@inen.sld.pe |
| dc.title.none.fl_str_mv |
Active cancer as the main predictor of mortality for COVID-19 in oncology patients in a specialized center |
| title |
Active cancer as the main predictor of mortality for COVID-19 in oncology patients in a specialized center |
| spellingShingle |
Active cancer as the main predictor of mortality for COVID-19 in oncology patients in a specialized center Villanueva-Cotrina, F active cancer biomarkers death prognosis imaging study SARS-CoV-2 https://purl.org/pe-repo/ocde/ford#3.02.21 |
| title_short |
Active cancer as the main predictor of mortality for COVID-19 in oncology patients in a specialized center |
| title_full |
Active cancer as the main predictor of mortality for COVID-19 in oncology patients in a specialized center |
| title_fullStr |
Active cancer as the main predictor of mortality for COVID-19 in oncology patients in a specialized center |
| title_full_unstemmed |
Active cancer as the main predictor of mortality for COVID-19 in oncology patients in a specialized center |
| title_sort |
Active cancer as the main predictor of mortality for COVID-19 in oncology patients in a specialized center |
| author |
Villanueva-Cotrina, F |
| author_facet |
Villanueva-Cotrina, F Velarde, J Rodriguez, R Bonilla, A Laura, M Saavedra, T Portillo-Alvarez, D Bustamante, Y Fernandez, C Galvez-Nino, M. |
| author_role |
author |
| author2 |
Velarde, J Rodriguez, R Bonilla, A Laura, M Saavedra, T Portillo-Alvarez, D Bustamante, Y Fernandez, C Galvez-Nino, M. |
| author2_role |
author author author author author author author author author |
| dc.contributor.author.fl_str_mv |
Villanueva-Cotrina, F Velarde, J Rodriguez, R Bonilla, A Laura, M Saavedra, T Portillo-Alvarez, D Bustamante, Y Fernandez, C Galvez-Nino, M. |
| dc.subject.none.fl_str_mv |
active cancer biomarkers death prognosis imaging study SARS-CoV-2 |
| topic |
active cancer biomarkers death prognosis imaging study SARS-CoV-2 https://purl.org/pe-repo/ocde/ford#3.02.21 |
| dc.subject.ocde.none.fl_str_mv |
https://purl.org/pe-repo/ocde/ford#3.02.21 |
| description |
Introduction: The role of the type, stage and status of cancer in the outcome of COVID-19 remains unclear. Moreover, the characteristic pathological changes of severe COVID-19 reveled by laboratory and radiological findings are similar to those due to the development of cancer itself and antineoplastic therapies. Objective: To identify potential predictors of mortality of COVID-19 in cancer patients. Materials and methods: A retrospective and cross-sectional study was carried out in patients with clinical suspicion of COVID-19 who were confirmed for COVID-19 diagnosis by RT-PCR testing at the National Institute of Neoplastic Diseases between April and December 2020. Demographic, clinical, laboratory and radiological data were analyzed. Statistical analyses included area under the curve and univariate and multivariate logistic regression analyses. Results: A total of 226 patients had clinical suspicion of COVID-19, the diagnosis was confirmed in 177 (78.3%), and 70/177 (39.5%) died. Age, active cancer, leukocyte count ≥12.8 × 109/L, urea ≥7.4 mmol/L, ferritin ≥1,640, lactate ≥2.0 mmol/L, and lung involvement ≥35% were found to be independent predictors of COVID-19 mortality. Conclusion: Active cancer represents the main prognosis factor of death, while the role of cancer stage and type is unclear. Chest CT is a useful tool in the prognosis of death from COVID-19 in cancer patients. It is a challenge to establish the prognostic utility of laboratory markers as their altered values it could have either oncological or pandemic origins. Copyright © 2023 Villanueva-Cotrina, Velarde, Rodriguez, Bonilla, Laura, Saavedra, Portillo-Alvarez, Bustamante, Fernandez and Galvez-Nino. |
| publishDate |
2023 |
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2024-11-27T17:33:20Z |
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2024-11-27T17:33:20Z |
| dc.date.issued.fl_str_mv |
2023 |
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info:eu-repo/semantics/article |
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info:eu-repo/semantics/publishedVersion |
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article |
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10.3389/pore.2023.1611236 |
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https://hdl.handle.net/20.500.14703/186 |
| dc.identifier.journal.none.fl_str_mv |
Pathology and Oncology Research |
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10.3389/pore.2023.1611236 Pathology and Oncology Research |
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https://hdl.handle.net/20.500.14703/186 |
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eng |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).