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Tomography and Prognostic Indices in the State of the Art of Evaluation in Hospitalized Patients with COVID-19 Pneumonia
Evaluation in medical emergencies of COVID-19 patients represents a challenge to regulate preventive and timely management. There are key imaging and laboratory tools to classify the severity. The aim of the study was to evaluate the chest CT score performance and prognostic indices in COVID-19 pati...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9697491/ https://www.ncbi.nlm.nih.gov/pubmed/36365031 http://dx.doi.org/10.3390/pathogens11111281 |
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author | Críales-Vera, Sergio Saucedo-Orozco, Huitzilihuitl Iturralde-Torres, Pedro Martínez-Mota, Gustavo Dávila-Medina, Estefanía Guarner-Lans, Verónica Manzano-Pech, Linaloe Pérez-Torres, Israel Soto, María Elena |
author_facet | Críales-Vera, Sergio Saucedo-Orozco, Huitzilihuitl Iturralde-Torres, Pedro Martínez-Mota, Gustavo Dávila-Medina, Estefanía Guarner-Lans, Verónica Manzano-Pech, Linaloe Pérez-Torres, Israel Soto, María Elena |
author_sort | Críales-Vera, Sergio |
collection | PubMed |
description | Evaluation in medical emergencies of COVID-19 patients represents a challenge to regulate preventive and timely management. There are key imaging and laboratory tools to classify the severity. The aim of the study was to evaluate the chest CT score performance and prognostic indices in COVID-19 patients to predict the progression to critical illness. This was a retrospective study between run between April and December 2020, in which 109 patients were included. Patients of any age and gender and who required hospitalization due to a confirmed COVID-19 diagnosis by RT-PCR and chest CT and laboratory were analyzed. In 75% of them, there was at least one comorbidity, and 30% developed critical illness, and the average mortality was 10%. In 49.5%, there was a CORADS-5 on admission, and in 50%, there was a peripheral distribution of the interstitial infiltrate in the left lower lobe. The risk factors were FiO(2), CT score > 18, and the NRL index. The combination of the high-risk Quick COVID-19 Severity Index (qCSI) plus CT score > 18 indices was the best prediction index for the development of a critical condition. The combined use of indices in infected COVID-19 patients showed diagnostic accuracy and predicted severity. Imaging and the laboratory tests are key tools independent of the wave of recurrence. |
format | Online Article Text |
id | pubmed-9697491 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96974912022-11-26 Tomography and Prognostic Indices in the State of the Art of Evaluation in Hospitalized Patients with COVID-19 Pneumonia Críales-Vera, Sergio Saucedo-Orozco, Huitzilihuitl Iturralde-Torres, Pedro Martínez-Mota, Gustavo Dávila-Medina, Estefanía Guarner-Lans, Verónica Manzano-Pech, Linaloe Pérez-Torres, Israel Soto, María Elena Pathogens Article Evaluation in medical emergencies of COVID-19 patients represents a challenge to regulate preventive and timely management. There are key imaging and laboratory tools to classify the severity. The aim of the study was to evaluate the chest CT score performance and prognostic indices in COVID-19 patients to predict the progression to critical illness. This was a retrospective study between run between April and December 2020, in which 109 patients were included. Patients of any age and gender and who required hospitalization due to a confirmed COVID-19 diagnosis by RT-PCR and chest CT and laboratory were analyzed. In 75% of them, there was at least one comorbidity, and 30% developed critical illness, and the average mortality was 10%. In 49.5%, there was a CORADS-5 on admission, and in 50%, there was a peripheral distribution of the interstitial infiltrate in the left lower lobe. The risk factors were FiO(2), CT score > 18, and the NRL index. The combination of the high-risk Quick COVID-19 Severity Index (qCSI) plus CT score > 18 indices was the best prediction index for the development of a critical condition. The combined use of indices in infected COVID-19 patients showed diagnostic accuracy and predicted severity. Imaging and the laboratory tests are key tools independent of the wave of recurrence. MDPI 2022-11-01 /pmc/articles/PMC9697491/ /pubmed/36365031 http://dx.doi.org/10.3390/pathogens11111281 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Críales-Vera, Sergio Saucedo-Orozco, Huitzilihuitl Iturralde-Torres, Pedro Martínez-Mota, Gustavo Dávila-Medina, Estefanía Guarner-Lans, Verónica Manzano-Pech, Linaloe Pérez-Torres, Israel Soto, María Elena Tomography and Prognostic Indices in the State of the Art of Evaluation in Hospitalized Patients with COVID-19 Pneumonia |
title | Tomography and Prognostic Indices in the State of the Art of Evaluation in Hospitalized Patients with COVID-19 Pneumonia |
title_full | Tomography and Prognostic Indices in the State of the Art of Evaluation in Hospitalized Patients with COVID-19 Pneumonia |
title_fullStr | Tomography and Prognostic Indices in the State of the Art of Evaluation in Hospitalized Patients with COVID-19 Pneumonia |
title_full_unstemmed | Tomography and Prognostic Indices in the State of the Art of Evaluation in Hospitalized Patients with COVID-19 Pneumonia |
title_short | Tomography and Prognostic Indices in the State of the Art of Evaluation in Hospitalized Patients with COVID-19 Pneumonia |
title_sort | tomography and prognostic indices in the state of the art of evaluation in hospitalized patients with covid-19 pneumonia |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9697491/ https://www.ncbi.nlm.nih.gov/pubmed/36365031 http://dx.doi.org/10.3390/pathogens11111281 |
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