scholarly journals Differential Diagnosis of COVID-19 Pneumonia From Influenza A (H1N1) Pneumonia Using a Model Based on Clinicoradiologic Features

2021 ◽  
Vol 8 ◽  
Author(s):  
Wei-Ya Shi ◽  
Shao-Ping Hu ◽  
Hao-Ling Zhang ◽  
Tie-Fu Liu ◽  
Su Zhou ◽  
...  

Objectives: Both coronavirus disease 2019 (COVID-19) pneumonia and influenza A (H1N1) pneumonia are highly contagious diseases. We aimed to characterize initial computed tomography (CT) and clinical features and to develop a model for differentiating COVID-19 pneumonia from H1N1 pneumonia.Methods: In total, we enrolled 291 patients with COVID-19 pneumonia from January 20 to February 13, 2020, and 97 patients with H1N1 pneumonia from May 24, 2009, to January 29, 2010 from two hospitals. Patients were randomly grouped into a primary cohort and a validation cohort using a seven-to-three ratio, and their clinicoradiologic data on admission were compared. The clinicoradiologic features were optimized by the least absolute shrinkage and selection operator (LASSO) logistic regression analysis to generate a model for differential diagnosis. Receiver operating characteristic (ROC) curves were plotted for assessing the performance of the model in the primary and validation cohorts.Results: The COVID-19 pneumonia mainly presented a peripheral distribution pattern (262/291, 90.0%); in contrast, H1N1 pneumonia most commonly presented a peribronchovascular distribution pattern (52/97, 53.6%). In LASSO logistic regression, peripheral distribution patterns, older age, low-grade fever, and slightly elevated aspartate aminotransferase (AST) were associated with COVID-19 pneumonia, whereas, a peribronchovascular distribution pattern, centrilobular nodule or tree-in-bud sign, consolidation, bronchial wall thickening or bronchiectasis, younger age, hyperpyrexia, and a higher level of AST were associated with H1N1 pneumonia. For the primary and validation cohorts, the LASSO model containing above eight clinicoradiologic features yielded an area under curve (AUC) of 0.963 and 0.943, with sensitivity of 89.7 and 86.2%, specificity of 89.7 and 89.7%, and accuracy of 89.7 and 87.1%, respectively.Conclusions: Combination of distribution pattern and category of pulmonary opacity on chest CT with clinical features facilitates the differentiation of COVID-19 pneumonia from H1N1 pneumonia.

2013 ◽  
Vol 20 (1) ◽  
pp. 46-53 ◽  
Author(s):  
Chang Hwan Sohn ◽  
Seung Mok Ryoo ◽  
Ji Young Yoon ◽  
Dong Woo Seo ◽  
Kyoung Soo Lim ◽  
...  

2013 ◽  
Vol 39 (3) ◽  
pp. 323-329 ◽  
Author(s):  
Viviane Brandao Amorim ◽  
Rosana Souza Rodrigues ◽  
Miriam Menna Barreto ◽  
Glaucia Zanetti ◽  
Bruno Hochhegger ◽  
...  

OBJECTIVE: To describe aspects found on HRCT scans of the chest in patients infected with the influenza A (H1N1) virus. METHODS: We retrospectively analyzed the HRCT scans of 71 patients (38 females and 33 males) with H1N1 infection, confirmed through laboratory tests, between July and September of 2009. The HRCT scans were interpreted by two thoracic radiologists independently, and in case of disagreement, the decisions were made by consensus. RESULTS: The most common HRCT findings were ground-glass opacities (85%), consolidation (64%), or a combination of ground-glass opacities and consolidation (58%). Other findings were airspace nodules (25%), bronchial wall thickening (25%), interlobular septal thickening (21%), crazy-paving pattern (15%), perilobular pattern (3%), and air trapping (3%). The findings were frequently bilateral (89%), with a random distribution (68%). Pleural effusion, when observed, was typically minimal. No lymphadenopathy was identified. CONCLUSIONS: The most common findings were ground-glass opacities and consolidations, or a combination of both. Involvement was commonly bilateral with no axial or craniocaudal predominance in the distribution. Although the major tomographic findings in H1N1 infection are nonspecific, it is important to recognize such findings in order to include infection with the H1N1 virus in the differential diagnosis of respiratory symptoms.


2012 ◽  
Vol 18 (3) ◽  
pp. E55-E62 ◽  
Author(s):  
D. Viasus ◽  
E. Cordero ◽  
J. Rodríguez-Baño ◽  
J.A. Oteo ◽  
A. Fernández-Navarro ◽  
...  

2010 ◽  
Vol 69 (1) ◽  
pp. 24 ◽  
Author(s):  
Chang Hoon Han ◽  
Yu Kyung Hyun ◽  
Yu Ri Choi ◽  
Na Young Sung ◽  
Yoon Seon Park ◽  
...  

2011 ◽  
Vol 21 (4) ◽  
pp. 269 ◽  
Author(s):  
Tae-Gon Kang ◽  
Mi-Jin Kim ◽  
Byoung-Gwon Kim ◽  
Hye-Sung An ◽  
Hyun-Jin Yun ◽  
...  

2010 ◽  
Vol 62 (4) ◽  
pp. 361
Author(s):  
Jin Kyoung Oh ◽  
Myeong Im Ahn ◽  
Jung Im Jung ◽  
Dae Hee Han ◽  
Seog Hee Park ◽  
...  

2016 ◽  
Vol 1 (1) ◽  
pp. 108-111 ◽  
Author(s):  
Hugo Bonatti ◽  
Rajeev Sharma ◽  
Cynthia Snider ◽  
Klaus D. Hagspiel ◽  
Kenneth Brayman ◽  
...  

Perfusion ◽  
2021 ◽  
pp. 026765912110477
Author(s):  
Abrahán Mera ◽  
Eduard Argudo ◽  
María Martínez-Martínez ◽  
Clara Palmada ◽  
Camilo Bonilla ◽  
...  

Extracorporeal Membrane Oxygenation (ECMO) is commonly associated with a high blood transfusion requirement. Jehovah’s Witness patients present a particular challenge. The impossibility of transfusing blood cells and starting anticoagulation treatment are common contraindications for this supportive measure. Here we report the case of a Jehovah’s Witness patient with refractory hypoxemia due to influenza A H1N1 pneumonia who required venovenous ECMO for 11 days. We describe the use of a bloodless approach to reduce the waste of blood, avoiding anticoagulation, and improving red blood cell production. We then summarize the current literature on the use of ECMO in Jehovah’s Witness patients and, finally, we propose some recommendations for their management.


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