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. 2019 Nov 12;19(1):964.
doi: 10.1186/s12879-019-4592-0.

Spectrum of clinical and radiographic findings in patients with diagnosis of H1N1 and correlation with clinical severity

Affiliations

Spectrum of clinical and radiographic findings in patients with diagnosis of H1N1 and correlation with clinical severity

Karla Schoen et al. BMC Infect Dis. .

Abstract

Background: The aim of this study was to evaluate the correlation between clinical and imaging findings with a worse clinical outcome in patients with a confirmed diagnosis of H1N1 influenza A virus.

Methods: Patients with a positive viral test for influenza A H1N1 in 2016 and chest radiography (CR) and/or computed tomography (CT) results had clinical and imaging data reviewed. Hospitalization, admission to the intensive care unit or death were defined as worse clinical outcomes. The association between clinical and imaging features and the worse outcome was calculated in a logistical regression model.

Results: Eighty of 160 (50%) patients were men, with a mean age of 43 ± 19 years. The most common symptoms were as follows: flu-like symptoms 141/160 (88%), dyspnea (25/160, 17%), and thoracic pain (7/160, 5%). Abnormalities on CR were detected in 8/110 (7%) patients, and 43/59 (73%) patients had an abnormal CT. The following variables were associated with worse clinical outcomes: the presence of diabetes mellitus (DM), hypertension, dyspnea, thoracic pain, abnormal CR or CT regardless of the type of finding, CT with consolidation or ground glass opacity.

Conclusions: The presence of DM, hypertension, dyspnea, thoracic pain, or an abnormal CR or CT on admission were associated with worse clinical outcomes in patients with H1N1 influenza A virus infection. Thus, the use of readily accessible clinical and imaging features on admission may have a role in the evaluation of patients with H1N1 infection.

Keywords: H1N1; Infection; Influenza; Outcome; Radiology.

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Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Flowchart of patient selection
Fig. 2
Fig. 2
Forty-five-year-old man without comorbidities with H1N1 virus infection who was admitted to the intensive care unit with acute respiratory distress syndrome. a Anteroposterior chest radiography demonstrates bilateral diffuse pulmonary infiltrates and consolidations. b and c Chest computed tomography on coronal and axial planes also show consolidations and bilateral ground-glass opacities
Fig. 3
Fig. 3
Sixty-five-year-old woman without comorbidities with H1N1 infection who did not have a worse outcome. Normal chest radiography performed at emergency department
Fig. 4
Fig. 4
Sixty-nine-year-old man admitted at the intensive care unit with dyspnea. Axial chest computed tomography demonstrates ground-glass opacities with peribronchovascular distribution
Fig. 5
Fig. 5
Dendrogram showing hierarchical clustering of variables in predicting worse clinical outcomes. The variables with higher correlations with worse clinical outcomes are highlighted in green, with moderate correlations in yellow and variables with low correlations in red

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