Association of radiologic findings with mortality of patients infected with 2019 novel coronavirus in Wuhan, China.
Identifieur interne : 000C12 ( Main/Exploration ); précédent : 000C11; suivant : 000C13Association of radiologic findings with mortality of patients infected with 2019 novel coronavirus in Wuhan, China.
Auteurs : Mingli Yuan [République populaire de Chine] ; Wen Yin [République populaire de Chine] ; Zhaowu Tao [République populaire de Chine] ; Weijun Tan [République populaire de Chine] ; Yi Hu [République populaire de Chine]Source :
- PloS one [ 1932-6203 ] ; 2020.
Descripteurs français
- KwdFr :
- Adulte d'âge moyen, Chine, Comorbidité, Courbe ROC, Femelle, Humains, Infections à coronavirus (anatomopathologie), Infections à coronavirus (imagerie diagnostique), Infections à coronavirus (mortalité), Mâle, Pneumopathie virale (anatomopathologie), Pneumopathie virale (imagerie diagnostique), Pneumopathie virale (mortalité), Poumon (anatomopathologie), Poumon (imagerie diagnostique), Pronostic, Sensibilité et spécificité, Sujet âgé, Tomodensitométrie, Valeur prédictive des tests, Études rétrospectives.
- MESH :
- anatomopathologie : Infections à coronavirus, Pneumopathie virale, Poumon.
- imagerie diagnostique : Infections à coronavirus, Pneumopathie virale, Poumon.
- mortalité : Infections à coronavirus, Pneumopathie virale.
- Adulte d'âge moyen, Chine, Comorbidité, Courbe ROC, Femelle, Humains, Mâle, Pronostic, Sensibilité et spécificité, Sujet âgé, Tomodensitométrie, Valeur prédictive des tests, Études rétrospectives.
- Wicri :
- geographic : République populaire de Chine.
English descriptors
- KwdEn :
- Aged, China, Comorbidity, Coronavirus Infections (diagnostic imaging), Coronavirus Infections (mortality), Coronavirus Infections (pathology), Female, Humans, Lung (diagnostic imaging), Lung (pathology), Male, Middle Aged, Pneumonia, Viral (diagnostic imaging), Pneumonia, Viral (mortality), Pneumonia, Viral (pathology), Predictive Value of Tests, Prognosis, ROC Curve, Retrospective Studies, Sensitivity and Specificity, Tomography, X-Ray Computed.
- MESH :
- geographic : China.
- diagnostic imaging : Coronavirus Infections, Lung, Pneumonia, Viral.
- mortality : Coronavirus Infections, Pneumonia, Viral.
- pathology : Coronavirus Infections, Lung, Pneumonia, Viral.
- Aged, Comorbidity, Female, Humans, Male, Middle Aged, Predictive Value of Tests, Prognosis, ROC Curve, Retrospective Studies, Sensitivity and Specificity, Tomography, X-Ray Computed.
Abstract
Radiologic characteristics of 2019 novel coronavirus (2019-nCoV) infected pneumonia (NCIP) which had not been fully understood are especially important for diagnosing and predicting prognosis. We retrospective studied 27 consecutive patients who were confirmed NCIP, the clinical characteristics and CT image findings were collected, and the association of radiologic findings with mortality of patients was evaluated. 27 patients included 12 men and 15 women, with median age of 60 years (IQR 47-69). 17 patients discharged in recovered condition and 10 patients died in hospital. The median age of mortality group was higher compared to survival group (68 (IQR 63-73) vs 55 (IQR 35-60), P = 0.003). The comorbidity rate in mortality group was significantly higher than in survival group (80% vs 29%, P = 0.018). The predominant CT characteristics consisted of ground glass opacity (67%), bilateral sides involved (86%), both peripheral and central distribution (74%), and lower zone involvement (96%). The median CT score of mortality group was higher compared to survival group (30 (IQR 7-13) vs 12 (IQR 11-43), P = 0.021), with more frequency of consolidation (40% vs 6%, P = 0.047) and air bronchogram (60% vs 12%, P = 0.025). An optimal cutoff value of a CT score of 24.5 had a sensitivity of 85.6% and a specificity of 84.5% for the prediction of mortality. 2019-nCoV was more likely to infect elderly people with chronic comorbidities. CT findings of NCIP were featured by predominant ground glass opacities mixed with consolidations, mainly peripheral or combined peripheral and central distributions, bilateral and lower lung zones being mostly involved. A simple CT scoring method was capable to predict mortality.
DOI: 10.1371/journal.pone.0230548
PubMed: 32191764
Affiliations:
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xml:lang="en"><term>Aged</term><term>Comorbidity</term><term>Female</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Predictive Value of Tests</term><term>Prognosis</term><term>ROC Curve</term><term>Retrospective Studies</term><term>Sensitivity and Specificity</term><term>Tomography, X-Ray Computed</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adulte d'âge moyen</term><term>Chine</term><term>Comorbidité</term><term>Courbe ROC</term><term>Femelle</term><term>Humains</term><term>Mâle</term><term>Pronostic</term><term>Sensibilité et spécificité</term><term>Sujet âgé</term><term>Tomodensitométrie</term><term>Valeur prédictive des tests</term><term>Études rétrospectives</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>République populaire de Chine</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Radiologic characteristics of 2019 novel coronavirus (2019-nCoV) infected pneumonia (NCIP) which had not been fully understood are especially important for diagnosing and predicting prognosis. We retrospective studied 27 consecutive patients who were confirmed NCIP, the clinical characteristics and CT image findings were collected, and the association of radiologic findings with mortality of patients was evaluated. 27 patients included 12 men and 15 women, with median age of 60 years (IQR 47-69). 17 patients discharged in recovered condition and 10 patients died in hospital. The median age of mortality group was higher compared to survival group (68 (IQR 63-73) vs 55 (IQR 35-60), P = 0.003). The comorbidity rate in mortality group was significantly higher than in survival group (80% vs 29%, P = 0.018). The predominant CT characteristics consisted of ground glass opacity (67%), bilateral sides involved (86%), both peripheral and central distribution (74%), and lower zone involvement (96%). The median CT score of mortality group was higher compared to survival group (30 (IQR 7-13) vs 12 (IQR 11-43), P = 0.021), with more frequency of consolidation (40% vs 6%, P = 0.047) and air bronchogram (60% vs 12%, P = 0.025). An optimal cutoff value of a CT score of 24.5 had a sensitivity of 85.6% and a specificity of 84.5% for the prediction of mortality. 2019-nCoV was more likely to infect elderly people with chronic comorbidities. CT findings of NCIP were featured by predominant ground glass opacities mixed with consolidations, mainly peripheral or combined peripheral and central distributions, bilateral and lower lung zones being mostly involved. A simple CT scoring method was capable to predict mortality.</div></front></TEI><affiliations><list><country><li>République populaire de Chine</li></country></list><tree><country name="République populaire de Chine"><noRegion><name sortKey="Yuan, Mingli" sort="Yuan, Mingli" uniqKey="Yuan M" first="Mingli" last="Yuan">Mingli Yuan</name></noRegion><name sortKey="Hu, Yi" sort="Hu, Yi" uniqKey="Hu Y" first="Yi" last="Hu">Yi Hu</name><name sortKey="Tan, Weijun" sort="Tan, Weijun" uniqKey="Tan W" first="Weijun" last="Tan">Weijun Tan</name><name sortKey="Tao, Zhaowu" sort="Tao, Zhaowu" uniqKey="Tao Z" first="Zhaowu" last="Tao">Zhaowu Tao</name><name sortKey="Yin, Wen" sort="Yin, Wen" uniqKey="Yin W" first="Wen" last="Yin">Wen Yin</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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