Serum Metabolome Is Associated With the Nasopharyngeal Microbiota and Disease Severity Among Infants With Bronchiolitis

By Christopher J Stewart, Jonathan M Mansbach, Nadim J Ajami, Joseph F Petrosino, Zhaozhong Zhu, Liming Liang, Carlos A Camargo, Jr, Kohei Hasegawa

The Journal of Infectious Diseases, June 15, 2019.

 

 

Emerging evidence suggests relationships between the nasopharyngeal metabolome and both the microbiota and severity of bronchiolitis. However, the influence of host systemic metabolism on disease pathobiology remains unclear. We aimed to examine metabolome profiles and their association with more-severe disease, defined by use of positive pressure ventilation (PPV), in infants hospitalized for bronchiolitis.

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An Online Tool to Calculate the Likelihood of Respiratory Syncytial Virus Infection in Children Hospitalized With Acute Respiratory Disease

By Britta Manuel, Matthes Hackbusch, Julia Tabatabai, Johannes Hoos, Rebecca Peters, Sarah Valerie Schnee, Clara Marlene Ihling, Paul Schnitzler, Johannes Pfeil, Johannes

The Pediatric Infectious Disease Journal, To be Published July 2019

 

Respiratory syncytial virus (RSV) is the leading cause of acute lower respiratory tract infection in young children. Early detection of RSV infection can avoid unnecessary diagnostic and therapeutic intervention and is required to prevent the nosocomial spread of RSV infection in pediatric hospitals. We developed a web tool to calculate the probability of RSV infection in children hospitalized with acute respiratory tract infection (ARTI) (RSVpredict).

During winter seasons 2014/2015 to 2017/2018, 1545 children hospitalized with clinical symptoms of ARTI at the University Hospital Heidelberg/Germany were prospectively included. Medical information was reported on a standardized data sheet, and nasopharyngeal swabs were obtained for multiplex real-time polymerase chain reaction analyses. We applied logistic regression to develop a prediction model and developed a web-based application to predict the individual probability of RSV infection.

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A prospective multicentre study testing the diagnostic accuracy of an automated cough sound centred analytic system for the identification of common respiratory disorders in children

By Paul Porter, Udantha Abeyratne, Vinayak Swarnkar, Jamie Tan, Ti-wan Ng, Joanna M. Brisbane, Deirdre Speldewinde, Jennifer Choveaux, Roneel Sharan, Keegan Kosasih, and Phillip Della

Respiratory Research, June 6, 2019

 

The differential diagnosis of paediatric respiratory conditions is difficult and suboptimal. Existing diagnostic algorithms are associated with significant error rates, resulting in misdiagnoses, inappropriate use of antibiotics and unacceptable morbidity and mortality. Recent advances in acoustic engineering and artificial intelligence have shown promise in the identification of respiratory conditions based on sound analysis, reducing dependence on diagnostic support services and clinical expertise. We present the results of a diagnostic accuracy study for paediatric respiratory disease using an automated cough-sound analyser.

We recorded cough sounds in typical clinical environments and the first five coughs were used in analyses. Analyses were performed using cough data and up to five-symptom input derived from patient/parent-reported history. Comparison was made between the automated cough analyser diagnoses and consensus clinical diagnoses reached by a panel of paediatricians after review of hospital charts and all available investigations.

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Mycoplasma pneumoniae detection in children with respiratory tract infections and influence on management–a retrospective cohort study in Switzerland

By Alexa Dierig  Hans Hellmuth Hirsch  Marie‐Luise Decker  Julia Anna Bielicki  Ulrich Heininger  Nicole Ritz

Acta Paediatrica, June 5, 2019

 

To evaluate the frequency of Mycoplasma pneumoniae in nasopharyngeal specimens from children with respiratory tract infections (RTI) and to detail clinical characteristics and management.

The study was designed as a retrospective cohort study. All children with RTI and nucleic acid amplification testing from nasopharyngeal specimens were analysed. Clinical data was extracted from electronic health records for all M.pneumoniae positive cases. Stored samples of cases and a random selection of matched controls were re‐tested using a M.pneumoniae‐specific nucleic acid amplification test.

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The diagnostic value of metagenomic next-generation sequencing for identifying Streptococcus pneumoniae in paediatric bacterial meningitis

By Xi-xi Zhang, Ling-yun Guo, Lin-lin Liu, Ao Shen, Wen-ya Feng, Wen-hua Huang, Hui-li Hu, Bing Hu, Xin Guo, Tian-ming Chen, He-ying Chen, Yong-qiang Jiang, and Gang Liu

BMC Infectious Diseases, June 4, 2019

 

There is currently no research on the diagnostic value of metagenomic next-generation sequencing (mNGS) for a single pathogens in CSF. The aim of this study was to analyse the value of mNGS for identifying Streptococcus pneumoniae (S. pneumoniae) in paediatric bacterial meningitis.

Bacterial meningitis (BM) cases from October 23, 2014, to December 31, 2016, and December 1, 2017, to July 31, 2018 at Beijing Children’s Hospital were reviewed. Clinical features and pathogens were analysed.

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