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Enzyme-linked immunosorbent assays in seroprevalence studies of Q fever: the need for cut-off adaptation and the consequences for prevalence data

Published online by Cambridge University Press:  22 October 2015

J. FROSINSKI
Affiliation:
Centre for Infectious Diseases and Infection Control, University Hospital Jena, Germany Department of Gastroenterology, Hepatology and Infectious Diseases, University Hospital Jena, Germany
B. HERMANN
Affiliation:
Institute of Medical Microbiology, University Hospital Jena, Germany
K. MAIER
Affiliation:
Institute of Transfusion Medicine, University Hospital Jena, Germany
K. BODEN*
Affiliation:
Institute of Laboratory Medicine, University Hospital Jena, Germany
*
*Author for correspondence: Dr K. Boden, Institute of Clinical Chemistry and Laboratory Medicine, University Hospital Jena, Erlanger Allee 101, 07745 Jena, Germany (Email: katharina.boden@med.uni-jena.de)
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Summary

Large outbreaks of Q fever have recently increased the awareness of this disease as a public health issue. Knowledge of the general impact of Q fever relies mainly on seroprevalence studies and it is fundamental that seroprevalence is assessed accurately. Therefore we evaluated the few enzyme-linked immunosorbent assays (ELISAs) commercially available for this purpose. An outbreak in 2005 in Jena, a city of 100 000 inhabitants, gave us the opportunity for the evaluation. However, we found disappointingly low sensitivities for two (42% and 51%) of three commercial ELISAs for detecting past infection. Nevertheless, all assays had good classification potential but cut-off adaptation is needed. Based on the unequal worldwide distribution of the differently performing tests in studies, Q fever seroprevalence is likely to be underestimated in studies from Europe whereas the data from North America and Australia are likely to be more reliable.

Information

Type
Original Papers
Copyright
Copyright © Cambridge University Press 2015 
Figure 0

Fig. 1. Boxplot for the different assays for participants with proven infection in 2005 (p), participants of the follow-up study without infection in 2005 (n) and blood donors (bd).

Figure 1

Table 1. Performance of the ELISAs with and without cut-off adaptation

Figure 2

Fig. 2. Receiver-operating characteristic curve of the different assays. AUC, Area under the curve; CI, confidence interval.