TY - JOUR
T1 - Differences in Bordetella pertussis DNA load according to clinical and epidemiological characteristics of patients with whooping cough
AU - the Working Group "Transmission of Pertussis in Households"
AU - Brotons, Pedro
AU - de Paz, Hector D.
AU - Toledo, Diana
AU - Villanova, Marta
AU - Plans, Pedro
AU - Jordan, Iolanda
AU - Dominguez, Angela
AU - Janè, Mireia
AU - Godoy, Pere
AU - Muñoz-Almagro, Carmen
AU - Alsedà, Miquel
AU - Alvarez, Josep
AU - Arias, Cesar
AU - Barrabeig, Irene
AU - Camps, Neus
AU - Carmona, Glòria
AU - Carol, Mónica
AU - Company, Maria
AU - Ferràs, Joaquim
AU - Ferrús, Glòria
AU - Minguell, Sofia
AU - Rodríguez, Raquel
AU - Sala, María Rosa
AU - Torra, Roser
AU - Crespo, Inma
AU - Solano, Rubén
AU - Caylà, Joan
AU - Lafuente, Sara
AU - Rius, Cristina
AU - Domínguez, Angela
AU - del Amo, Eva
N1 - Funding Information:
This work was supported by Fondo Europeo para el Desarrollo Regional and the Ministry of Science and Innovation , Institute of Health Carlos III , Projects of Research on Health (Grant PI11/02557 ).
Publisher Copyright:
© 2016 The British Infection Association.
PY - 2016/4/1
Y1 - 2016/4/1
N2 - Objective: To identify associations between nasopharyngeal Bordetella pertussis DNA load and clinical and epidemiological characteristics and evaluate DNA load prognostic value in pertussis severity. Methods: Prospective observational multi-centre study including nasopharyngeal samples positive to pertussis DNA by real-time PCR collected from children and adult patients in more than 200 health centres of Catalonia (Spain) during 2012-2013. Results: B. pertussis load was inversely correlated with age (rho = -0.32, p < 0.001), time to diagnosis (rho = -0.33, p < 0.001) and number of symptoms (rho = 0.13, p = 0.002). Median bacterial load was significantly higher in inpatients versus outpatients (4.91 vs. 2.55 log10 CFU/mL, p < 0.001), patients with complications versus those without (6.05 vs. 2.82 log10 CFU/mL, p < 0.001), disease incidence in summer and autumn versus spring and winter (3.50 vs. 2.21 log10 CFU/mL, p = 0.002), and unvaccinated-partially vaccinated patients versus vaccinated (4.20 vs. 2.76 log10 CFU/mL, p = 0.004). A logistic regression model including bacterial load and other candidate prognostic factors showed good prediction for hospital care (AUC = 0.94) although only age and unvaccinated status were found to be prognostic factors. Conclusions: We observed strong positive associations of nasopharyngeal bacterial load with severity outcomes of hospitalisation and occurrence of complications. Bacterial load and other independent variables contributed to an accurate prognostic model for hospitalisation.
AB - Objective: To identify associations between nasopharyngeal Bordetella pertussis DNA load and clinical and epidemiological characteristics and evaluate DNA load prognostic value in pertussis severity. Methods: Prospective observational multi-centre study including nasopharyngeal samples positive to pertussis DNA by real-time PCR collected from children and adult patients in more than 200 health centres of Catalonia (Spain) during 2012-2013. Results: B. pertussis load was inversely correlated with age (rho = -0.32, p < 0.001), time to diagnosis (rho = -0.33, p < 0.001) and number of symptoms (rho = 0.13, p = 0.002). Median bacterial load was significantly higher in inpatients versus outpatients (4.91 vs. 2.55 log10 CFU/mL, p < 0.001), patients with complications versus those without (6.05 vs. 2.82 log10 CFU/mL, p < 0.001), disease incidence in summer and autumn versus spring and winter (3.50 vs. 2.21 log10 CFU/mL, p = 0.002), and unvaccinated-partially vaccinated patients versus vaccinated (4.20 vs. 2.76 log10 CFU/mL, p = 0.004). A logistic regression model including bacterial load and other candidate prognostic factors showed good prediction for hospital care (AUC = 0.94) although only age and unvaccinated status were found to be prognostic factors. Conclusions: We observed strong positive associations of nasopharyngeal bacterial load with severity outcomes of hospitalisation and occurrence of complications. Bacterial load and other independent variables contributed to an accurate prognostic model for hospitalisation.
KW - Bacterial load
KW - Bordetella pertussis
KW - Children
KW - Prognostics
KW - Real-time PCR
KW - Whooping cough
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U2 - 10.1016/j.jinf.2016.01.013
DO - 10.1016/j.jinf.2016.01.013
M3 - Article
C2 - 26850358
AN - SCOPUS:84960800004
SN - 0163-4453
VL - 72
SP - 460
EP - 467
JO - Journal of Infection
JF - Journal of Infection
IS - 4
ER -