Title |
Pneumococcal Aetiology and Serotype Distribution in Paediatric Community-Acquired Pneumonia
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Published in |
PLOS ONE, February 2014
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DOI | 10.1371/journal.pone.0089013 |
Pubmed ID | |
Authors |
Iris De Schutter, Anne Vergison, David Tuerlinckx, Marc Raes, Julie Smet, Pierre R. Smeesters, Jan Verhaegen, Françoise Mascart, Filip Surmont, Anne Malfroot |
Abstract |
Community-acquired pneumonia (CAP) is a major cause of morbidity in children. This study estimated the proportion of children with pneumococcal CAP among children hospitalised with CAP in Belgium and describes the causative serotype distribution after implementation of the 7-valent pneumococcal conjugate vaccine. Children 0-14 years hospitalised with X-ray-confirmed CAP were prospectively enrolled in a multicentre observational study. Acute and convalescent blood samples were collected. Pneumococcal aetiology was assessed by conventional methods (blood or pleural fluid cultures with Quellung reaction capsular typing or polymerase chain reaction [PCR] in pleural fluid), and recently developed methods (real-time PCR in blood and World Health Organization-validated serotype-specific serology). A total of 561 children were enrolled. Pneumococcal aetiology was assessed by conventional methods in 539, serology in 171, and real-time PCR in blood in 154. Pneumococcal aetiology was identified in 12.2% (66/539) of the children by conventional methods alone but in 73.9% by the combination of conventional and recently developed methods. The pneumococcal detection rate adjusted for the whole study population was 61.7%. Serotypes 1 (42.3%), 5 (16.0%), and 7F(7A) (12.8%) were predominant. In conclusion, Streptococcus pneumoniae remains the predominant bacteria in children hospitalised for CAP in Belgium after implementation of 7-valent pneumococcal conjugate vaccine, with non-vaccine-serotypes accounting for the majority of cases. The use of recently developed methods improves diagnosis of pneumococcal aetiology. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 56 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 11 | 20% |
Researcher | 9 | 16% |
Student > Bachelor | 7 | 13% |
Student > Master | 6 | 11% |
Other | 5 | 9% |
Other | 11 | 20% |
Unknown | 7 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 27 | 48% |
Immunology and Microbiology | 7 | 13% |
Biochemistry, Genetics and Molecular Biology | 3 | 5% |
Agricultural and Biological Sciences | 3 | 5% |
Nursing and Health Professions | 2 | 4% |
Other | 3 | 5% |
Unknown | 11 | 20% |