Clinical and radiological imaging as prognostic predictors in COVID-19 patients
Abstract Background Since the announcement of COVID-19 as a pandemic infection, several studies have been performed to discuss the clinical picture, laboratory finding, and imaging features of this disease. The aim of this study is to demarcate the imaging features of novel coronavirus infected pneu...
Main Authors: | , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2021-04-01
|
Series: | The Egyptian Journal of Radiology and Nuclear Medicine |
Subjects: | |
Online Access: | https://doi.org/10.1186/s43055-021-00470-9 |
id |
doaj-684ef07ed28f4522a1a8daa7a01d6493 |
---|---|
record_format |
Article |
spelling |
doaj-684ef07ed28f4522a1a8daa7a01d64932021-04-11T11:37:06ZengSpringerOpenThe Egyptian Journal of Radiology and Nuclear Medicine2090-47622021-04-0152111310.1186/s43055-021-00470-9Clinical and radiological imaging as prognostic predictors in COVID-19 patientsMaha Ibrahim Metwally0Mohammad Abd Alkhalik Basha1Mohamed M. A. Zaitoun2Housseini Mohamed Abdalla3Hanaa Abu Elazayem Nofal4Hamdy Hendawy5Esaraa Manajrah6Reham farid Hijazy7Loujain Akbazli8Ahmed Negida9Walid Mosallam10Department of Radio-diagnosis, Faculty of Human Medicine, Zagazig UniversityDepartment of Radio-diagnosis, Faculty of Human Medicine, Zagazig UniversityDepartment of Radio-diagnosis, Faculty of Human Medicine, Zagazig UniversityDepartment of Radio-diagnosis, Faculty of Human Medicine, Suez Canal UniversityDepartment of Community and Occupational Medicine, Faculty of Human Medicine, Zagazig UniversityDepartment of Intensive Care, Faculty of Human Medicine, Suez Canal UniversityFaculty of Human Medicine, Suez Canal UniversityFaculty of Human Medicine, Suez Canal UniversityFaculty of Human Medicine, Suez Canal UniversityZagazig University Hospitals, Zagazig UniversityDepartment of Radio-diagnosis, Faculty of Human Medicine, Suez Canal UniversityAbstract Background Since the announcement of COVID-19 as a pandemic infection, several studies have been performed to discuss the clinical picture, laboratory finding, and imaging features of this disease. The aim of this study is to demarcate the imaging features of novel coronavirus infected pneumonia (NCIP) in different age groups and outline the relation between radiological aspect, including CT severity, and clinical aspect, including age, oxygen saturation, and fatal outcome. We implemented a prospective observational study enrolled 299 laboratory-confirmed COVID-19 patients (169 males and 130 females; age range = 2–91 years; mean age = 38.4 ± 17.2). All patients were submitted to chest CT with multi-planar reconstruction. The imaging features of NCIP in different age groups were described. The relations between CT severity and age, oxygen saturation, and fatal outcome were evaluated. Results The most predominant CT features were bilateral (75.4%), posterior (66.3%), pleural-based (93.5%), lower lobe involvement (89.8%), and ground-glass opacity (94.7%). ROC curve analysis revealed that the optimal cutoff age that was highly exposed to moderate and severe stages of NCIP was 38 years old (AUC = 0.77, p < 0.001). NCIP was noted in 42.6% below 40-year-old age group compared to 84% above 40-year-old age group. The CT severity was significantly related to age and fatal outcome (p < 0.001). Anterior, centrilobular, hilar, apical, and middle lobe involvements had a significant relation to below 90% oxygen saturation. A significant negative correlation was found between CT severity and oxygen saturation (r = − 0.49, p < 0.001). Crazy-paving pattern, anterior aspect, hilar, centrilobular involvement, and moderate and severe stages had a statistically significant relation to higher mortality. Conclusion The current study confirmed the value of CT as a prognostic predictor in NCIP through demonstration of the strong relation between CT severity and age, oxygen saturation, and the fatal outcome. In the era of COVID-19 pandemic, this study is considered to be an extension to other studies discussing chest CT features of COVID-19 in different age groups with demarcation of the relation of chest CT severity to different pattern and distribution of NCIP, age, oxygen saturation, and mortality rate.https://doi.org/10.1186/s43055-021-00470-9Novel coronavirusCOVID-19Severitychest CTFatal outcomeOxygen saturation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Maha Ibrahim Metwally Mohammad Abd Alkhalik Basha Mohamed M. A. Zaitoun Housseini Mohamed Abdalla Hanaa Abu Elazayem Nofal Hamdy Hendawy Esaraa Manajrah Reham farid Hijazy Loujain Akbazli Ahmed Negida Walid Mosallam |
spellingShingle |
Maha Ibrahim Metwally Mohammad Abd Alkhalik Basha Mohamed M. A. Zaitoun Housseini Mohamed Abdalla Hanaa Abu Elazayem Nofal Hamdy Hendawy Esaraa Manajrah Reham farid Hijazy Loujain Akbazli Ahmed Negida Walid Mosallam Clinical and radiological imaging as prognostic predictors in COVID-19 patients The Egyptian Journal of Radiology and Nuclear Medicine Novel coronavirus COVID-19 Severity chest CT Fatal outcome Oxygen saturation |
author_facet |
Maha Ibrahim Metwally Mohammad Abd Alkhalik Basha Mohamed M. A. Zaitoun Housseini Mohamed Abdalla Hanaa Abu Elazayem Nofal Hamdy Hendawy Esaraa Manajrah Reham farid Hijazy Loujain Akbazli Ahmed Negida Walid Mosallam |
author_sort |
Maha Ibrahim Metwally |
title |
Clinical and radiological imaging as prognostic predictors in COVID-19 patients |
title_short |
Clinical and radiological imaging as prognostic predictors in COVID-19 patients |
title_full |
Clinical and radiological imaging as prognostic predictors in COVID-19 patients |
title_fullStr |
Clinical and radiological imaging as prognostic predictors in COVID-19 patients |
title_full_unstemmed |
Clinical and radiological imaging as prognostic predictors in COVID-19 patients |
title_sort |
clinical and radiological imaging as prognostic predictors in covid-19 patients |
publisher |
SpringerOpen |
series |
The Egyptian Journal of Radiology and Nuclear Medicine |
issn |
2090-4762 |
publishDate |
2021-04-01 |
description |
Abstract Background Since the announcement of COVID-19 as a pandemic infection, several studies have been performed to discuss the clinical picture, laboratory finding, and imaging features of this disease. The aim of this study is to demarcate the imaging features of novel coronavirus infected pneumonia (NCIP) in different age groups and outline the relation between radiological aspect, including CT severity, and clinical aspect, including age, oxygen saturation, and fatal outcome. We implemented a prospective observational study enrolled 299 laboratory-confirmed COVID-19 patients (169 males and 130 females; age range = 2–91 years; mean age = 38.4 ± 17.2). All patients were submitted to chest CT with multi-planar reconstruction. The imaging features of NCIP in different age groups were described. The relations between CT severity and age, oxygen saturation, and fatal outcome were evaluated. Results The most predominant CT features were bilateral (75.4%), posterior (66.3%), pleural-based (93.5%), lower lobe involvement (89.8%), and ground-glass opacity (94.7%). ROC curve analysis revealed that the optimal cutoff age that was highly exposed to moderate and severe stages of NCIP was 38 years old (AUC = 0.77, p < 0.001). NCIP was noted in 42.6% below 40-year-old age group compared to 84% above 40-year-old age group. The CT severity was significantly related to age and fatal outcome (p < 0.001). Anterior, centrilobular, hilar, apical, and middle lobe involvements had a significant relation to below 90% oxygen saturation. A significant negative correlation was found between CT severity and oxygen saturation (r = − 0.49, p < 0.001). Crazy-paving pattern, anterior aspect, hilar, centrilobular involvement, and moderate and severe stages had a statistically significant relation to higher mortality. Conclusion The current study confirmed the value of CT as a prognostic predictor in NCIP through demonstration of the strong relation between CT severity and age, oxygen saturation, and the fatal outcome. In the era of COVID-19 pandemic, this study is considered to be an extension to other studies discussing chest CT features of COVID-19 in different age groups with demarcation of the relation of chest CT severity to different pattern and distribution of NCIP, age, oxygen saturation, and mortality rate. |
topic |
Novel coronavirus COVID-19 Severity chest CT Fatal outcome Oxygen saturation |
url |
https://doi.org/10.1186/s43055-021-00470-9 |
work_keys_str_mv |
AT mahaibrahimmetwally clinicalandradiologicalimagingasprognosticpredictorsincovid19patients AT mohammadabdalkhalikbasha clinicalandradiologicalimagingasprognosticpredictorsincovid19patients AT mohamedmazaitoun clinicalandradiologicalimagingasprognosticpredictorsincovid19patients AT housseinimohamedabdalla clinicalandradiologicalimagingasprognosticpredictorsincovid19patients AT hanaaabuelazayemnofal clinicalandradiologicalimagingasprognosticpredictorsincovid19patients AT hamdyhendawy clinicalandradiologicalimagingasprognosticpredictorsincovid19patients AT esaraamanajrah clinicalandradiologicalimagingasprognosticpredictorsincovid19patients AT rehamfaridhijazy clinicalandradiologicalimagingasprognosticpredictorsincovid19patients AT loujainakbazli clinicalandradiologicalimagingasprognosticpredictorsincovid19patients AT ahmednegida clinicalandradiologicalimagingasprognosticpredictorsincovid19patients AT walidmosallam clinicalandradiologicalimagingasprognosticpredictorsincovid19patients |
_version_ |
1721530914092089344 |