| Title |
Detection and serotyping of pneumococci in community acquired pneumonia patients without culture using blood and urine samples
|
|---|---|
| Published in |
BMC Infectious Diseases, February 2015
|
| DOI | 10.1186/s12879-015-0788-0 |
| Pubmed ID | |
| Authors |
Karin Elberse, Suzan van Mens, Amelieke J Cremers, Sabine CA Meijvis, Bart Vlaminckx, Marien I de Jonge, Jacques F Meis, Cornelis Blauwendraat, Ingrid van de Pol, Leo M Schouls |
| Abstract |
Treatment of community acquired pneumonia (CAP) patients with antibiotics before laboratory-confirmed diagnosis leads to loss of knowledge on the causative bacterial pathogen. Therefore, an increasing number of pneumococcal infections is identified using non-culture based techniques. However, methods for serotyping directly on the clinical specimen remain scarce. Here we present three approaches for detection and serotyping of pneumococci using samples from patients with CAP. The first approach is quantitative PCR (qPCR) analysis on blood samples (n = 211) followed by capsular sequence typing (CST) to identify the serotype. The second approach, a urinary antigen assay (n = 223), designated as inhibition multiplex immunoassay (IMIA), is based on Luminex technology targeting 14 serotypes. The third approach is a multiplex immunoassay (MIA) (n = 171) also based on Luminex technology which detects serologic antibody responses against 14 serotypes. The three alternative assays were performed on samples obtained from 309 adult hospitalized CAP patients in 2007-2010 and the results were compared with those obtained from conventional laboratory methods to detect pneumococcal CAP, i.e. blood cultures, sputum cultures and BinaxNOW® urinary antigen tests. Using qPCR, MIA and IMIA, we were able to detect the pneumococcus in samples of 56% more patients compared to conventional methods. Furthermore, we were able to assign a serotype to the infecting pneumococcus from samples of 25% of all CAP patients, using any of the three serotyping methods (CST, IMIA and MIA). This study indicates the usefulness of additional molecular methods to conventional laboratory methods for the detection of pneumococcal pneumonia. Direct detection and subsequent serotyping on clinical samples will improve the accuracy of pneumococcal surveillance to monitor vaccine effectiveness. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 2% |
| Unknown | 59 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 18% |
| Student > Ph. D. Student | 10 | 17% |
| Student > Bachelor | 6 | 10% |
| Other | 5 | 8% |
| Student > Master | 3 | 5% |
| Other | 9 | 15% |
| Unknown | 16 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 32% |
| Immunology and Microbiology | 8 | 13% |
| Agricultural and Biological Sciences | 8 | 13% |
| Biochemistry, Genetics and Molecular Biology | 6 | 10% |
| Nursing and Health Professions | 2 | 3% |
| Other | 2 | 3% |
| Unknown | 15 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 February 2015.
All research outputs
#17,746,104
of 22,789,076 outputs
Outputs from BMC Infectious Diseases
#5,098
of 7,672 outputs
Outputs of similar age
#246,850
of 358,516 outputs
Outputs of similar age from BMC Infectious Diseases
#99
of 169 outputs
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