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Predicting the risk of Lyme borreliosis after a tick bite, using a structural equation model

BACKGROUND: Understanding and quantification of the risk of Lyme borreliosis after a tick bite can aid development of prevention strategies against Lyme borreliosis. METHODS: We used 3,525 single tick bite reports from three large prospective studies on the transmission risk of tick-borne pathogens...

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Autores principales: Hofhuis, Agnetha, van de Kassteele, Jan, Sprong, Hein, van den Wijngaard, Cees C., Harms, Margriet G., Fonville, Manoj, Docters van Leeuwen, Arieke, Simões, Mariana, van Pelt, Wilfrid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5524385/
https://www.ncbi.nlm.nih.gov/pubmed/28742149
http://dx.doi.org/10.1371/journal.pone.0181807
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author Hofhuis, Agnetha
van de Kassteele, Jan
Sprong, Hein
van den Wijngaard, Cees C.
Harms, Margriet G.
Fonville, Manoj
Docters van Leeuwen, Arieke
Simões, Mariana
van Pelt, Wilfrid
author_facet Hofhuis, Agnetha
van de Kassteele, Jan
Sprong, Hein
van den Wijngaard, Cees C.
Harms, Margriet G.
Fonville, Manoj
Docters van Leeuwen, Arieke
Simões, Mariana
van Pelt, Wilfrid
author_sort Hofhuis, Agnetha
collection PubMed
description BACKGROUND: Understanding and quantification of the risk of Lyme borreliosis after a tick bite can aid development of prevention strategies against Lyme borreliosis. METHODS: We used 3,525 single tick bite reports from three large prospective studies on the transmission risk of tick-borne pathogens to humans, with 50 reports of Lyme borreliosis during the follow-up period, among 1,973 reports with known outcome. A structural equation model was applied to estimate the risk of Lyme borreliosis after a tick bite, and quantify the influence of: developmental stage of the tick, detection of Borrelia burgdorferi s.l. DNA in the tick by PCR, tick engorgement, patient-estimated duration of tick attachment, and patient age. RESULTS: The overall risk of developing Lyme borreliosis after a tick bite was 2.6% (95%CI 1.4–5.1). The risk increased with: - Tick engorgement: 1.4% (95%CI 0.7%-2.3%) for low engorgement to 5.5% (95%CI 2.8%-9.2%) for substantially engorged ticks; - Rising patient-estimated tick attachment duration: 2.0% (95%CI 1.3%-2.8%) after <12 hours, to 5.2% (95%CI 3.0%-8.9%) after ≥4 days; - Detection of Borrelia burgdorferi s.l. DNA in ticks: 6.7% (95%CI 3.6%-13.5%), versus 1.4% (95%CI 0.7%-2.9%) when ticks tested negative. The highest observed risk of Lyme borreliosis was 14.4% (95%CI 6.8%-24.6%) after one tick bite of a substantially engorged tick that tested positive for Borrelia burgdorferi s.l. DNA, which corresponds to one new case of Lyme borreliosis per 7 (95%CI 4–15) of such tick bites. CONCLUSIONS: An individual's risk of Lyme borreliosis after a tick bite can be predicted with tick engorgement, patient-estimated duration of tick attachment, and detection of Borrelia burgdorferi s.l. DNA in the tick.
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spelling pubmed-55243852017-08-07 Predicting the risk of Lyme borreliosis after a tick bite, using a structural equation model Hofhuis, Agnetha van de Kassteele, Jan Sprong, Hein van den Wijngaard, Cees C. Harms, Margriet G. Fonville, Manoj Docters van Leeuwen, Arieke Simões, Mariana van Pelt, Wilfrid PLoS One Research Article BACKGROUND: Understanding and quantification of the risk of Lyme borreliosis after a tick bite can aid development of prevention strategies against Lyme borreliosis. METHODS: We used 3,525 single tick bite reports from three large prospective studies on the transmission risk of tick-borne pathogens to humans, with 50 reports of Lyme borreliosis during the follow-up period, among 1,973 reports with known outcome. A structural equation model was applied to estimate the risk of Lyme borreliosis after a tick bite, and quantify the influence of: developmental stage of the tick, detection of Borrelia burgdorferi s.l. DNA in the tick by PCR, tick engorgement, patient-estimated duration of tick attachment, and patient age. RESULTS: The overall risk of developing Lyme borreliosis after a tick bite was 2.6% (95%CI 1.4–5.1). The risk increased with: - Tick engorgement: 1.4% (95%CI 0.7%-2.3%) for low engorgement to 5.5% (95%CI 2.8%-9.2%) for substantially engorged ticks; - Rising patient-estimated tick attachment duration: 2.0% (95%CI 1.3%-2.8%) after <12 hours, to 5.2% (95%CI 3.0%-8.9%) after ≥4 days; - Detection of Borrelia burgdorferi s.l. DNA in ticks: 6.7% (95%CI 3.6%-13.5%), versus 1.4% (95%CI 0.7%-2.9%) when ticks tested negative. The highest observed risk of Lyme borreliosis was 14.4% (95%CI 6.8%-24.6%) after one tick bite of a substantially engorged tick that tested positive for Borrelia burgdorferi s.l. DNA, which corresponds to one new case of Lyme borreliosis per 7 (95%CI 4–15) of such tick bites. CONCLUSIONS: An individual's risk of Lyme borreliosis after a tick bite can be predicted with tick engorgement, patient-estimated duration of tick attachment, and detection of Borrelia burgdorferi s.l. DNA in the tick. Public Library of Science 2017-07-24 /pmc/articles/PMC5524385/ /pubmed/28742149 http://dx.doi.org/10.1371/journal.pone.0181807 Text en © 2017 Hofhuis et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Hofhuis, Agnetha
van de Kassteele, Jan
Sprong, Hein
van den Wijngaard, Cees C.
Harms, Margriet G.
Fonville, Manoj
Docters van Leeuwen, Arieke
Simões, Mariana
van Pelt, Wilfrid
Predicting the risk of Lyme borreliosis after a tick bite, using a structural equation model
title Predicting the risk of Lyme borreliosis after a tick bite, using a structural equation model
title_full Predicting the risk of Lyme borreliosis after a tick bite, using a structural equation model
title_fullStr Predicting the risk of Lyme borreliosis after a tick bite, using a structural equation model
title_full_unstemmed Predicting the risk of Lyme borreliosis after a tick bite, using a structural equation model
title_short Predicting the risk of Lyme borreliosis after a tick bite, using a structural equation model
title_sort predicting the risk of lyme borreliosis after a tick bite, using a structural equation model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5524385/
https://www.ncbi.nlm.nih.gov/pubmed/28742149
http://dx.doi.org/10.1371/journal.pone.0181807
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