Bilateral bronchopneumonia due to Rothia mucilaginosa

Yangüela, Begoña de Escalante; Gutiérrez, Anyuli Gracia; Tello, B. Gracia; Castaño, V Alastrué Del; Juana, E. Bueno; Cajo, Sonia Algarate

doi:10.23938/assn.0090

Cited by 3 publications

(4 citation statements)

References 6 publications

(16 reference statements)

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“…The effect of alcohol consumption on an individual's sputum microbiota has not previously studied and from our results an idea is drawn as to whether alcohol consumption might alter the microbial composition of one's lung. This sample showed some visible deviations of abundance in mutual bacterial species such as R. mucilaginosa (* 30fold increase than other two samples), a bacterium known to be associated with pneumonia [30] and S. salivarius, a commonly known commensal.…”

Section: Bacterial Diversity In Patientsmentioning

confidence: 82%

Respiratory Bacterial Microbiota and Individual Bacterial Variability in Lung Cancer and Bronchiectasis Patients

et al. 2019

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Respiratory bacterial microbiota plays a key role in human health. Lung cancer microbiome is a significant yet an understudied area while bronchiectasis microbiome is often studied. We assessed the bacterial microbiota in the upper and lower respiratory tract of the patients with lung cancer and bronchiectasis against a healthy group and their variations in individuality. 16S rRNA gene based metagenomic sequencing was used to detect entire bacterial community along with conventional aerobic bacterial culturing. In comparison to healthy, increased bacterial diversity was observed in diseased population. Abundance of more than 1% was considered and bacteria were identified in 97% similarity. Only lung cancer patients exhibited bacteria specific to the disease: Corynebacterium tuberculostearicum and Keratinibaculum paraultunense. However, Enterococcus faecalis and Delftia tsuruhatensis were also observed limited to lung cancer and bronchiectasis respectively, in less than 1% but supported with bacterial culturing. In conclusion the disease condition and intra-group variability should be considered in future with larger cohorts to understand individual patient variability highlighting the social habits and gender of the individual.

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Section: Bacterial Diversity In Patientsmentioning

confidence: 82%

Respiratory Bacterial Microbiota and Individual Bacterial Variability in Lung Cancer and Bronchiectasis Patients

et al. 2019

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“…At present, imaging methods such as X-ray, chest CT, and bronchography are clinically used in the diagnosis of bronchial pneumonia [ 18 ]. As a kind of invasive examination, bronchography is of little value in newborn children.…”

Section: Discussionmentioning

confidence: 99%

Chest Computed Tomography Images in Neonatal Bronchial Pneumonia under the Adaptive Statistical Iterative Reconstruction Algorithm

Sun

Tian

et al. 2021

Journal of Healthcare Engineering

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This study was to explore the application value of chest computed tomography (CT) images processed by artificial intelligence (AI) algorithms in the diagnosis of neonatal bronchial pneumonia (NBP). The AI adaptive statistical iterative reconstruction (ASiR) algorithm was adopted to reconstruct the chest CT image to compare and analyze the effect of the reconstruction of CT image under the ASiR algorithm under different preweight and postweight values based on the objective measurement and subjective evaluation. 85 neonates with pneumonia treated in hospital from September 1, 2015, to July 1, 2020, were selected as the research objects to analyze their CT imaging characteristics. Subsequently, the peripheral blood of healthy neonates during the same period was collected, and the levels of C-reactive protein (CRP) and erythrocyte sedimentation rate (ESR) were detected. The efficiency of CT examination, CRP, ESR, and combined examination in the diagnosis of NBP was analyzed. The results showed that the subjective quality score, lung window subjective score, and mediastinal window subjective score were the highest after CT image reconstruction when the preweight value of the ASiR algorithm was 50%. After treatment, 79 NBP cases (92.9%) showed ground-glass features in CT images. Compared with the healthy neonates, the levels of CRP and ESR in the peripheral blood of neonates with bronchial pneumonia were much lower ( P < 0.05 ). The accuracy rates of CT examination, CRP examination, ESR examination, CRP + ESR examination, and CRP + ESR + CT examination for the diagnosis of NBP were 80.7%, 75.3%, 75.1%, 80.3%, and 98.6%, respectively. CT technology based on AI algorithm showed high clinical application value in the feature analysis of NBP.

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“…Rothia mucilaginosa'nın özellikle bağışıklık sistemi baskılanmış hastalarda, nadiren de bağışıklık sistemi normal kişilerde endokardit, artrit, osteomyelit, idrar yolu enfeksiyonları, menenjit, bakteriyemi gibi birçok klinik tablo da etken olarak bildirilmesine rağmen alt solunum yolu enfeksiyonunlarına ait bildirimler daha seyrektir (1,8,9) . Maraki ve ark.…”

Section: Discussionunclassified

“…(8) ve Escalante ve ark. (9) 2017 yılında R. mucilaginosa'nın neden olduğu iki pnömoni vakası bildirmişlerdir. Ülkemizden de 2014 yılında Sadıç ve ark.…”

Section: Discussionunclassified