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Median Age at HPV Infection Among Women in the United States: A Model-Based Analysis Informed by Real-world Data

BACKGROUND: The US Advisory Committee for Immunization Practices (ACIP) recommended shared clinical decision-making for human papillomavirus (HPV) vaccination of individuals aged 27 to 45 years (mid-adults) in June 2019. Determining the median age at causal HPV infection and CIN2+ diagnosis based on...

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Autores principales: Prabhu, Vimalanand S, Roberts, Craig S, Kothari, Smita, Niccolai, Linda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8653628/
https://www.ncbi.nlm.nih.gov/pubmed/34888404
http://dx.doi.org/10.1093/ofid/ofab111
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author Prabhu, Vimalanand S
Roberts, Craig S
Kothari, Smita
Niccolai, Linda
author_facet Prabhu, Vimalanand S
Roberts, Craig S
Kothari, Smita
Niccolai, Linda
author_sort Prabhu, Vimalanand S
collection PubMed
description BACKGROUND: The US Advisory Committee for Immunization Practices (ACIP) recommended shared clinical decision-making for human papillomavirus (HPV) vaccination of individuals aged 27 to 45 years (mid-adults) in June 2019. Determining the median age at causal HPV infection and CIN2+ diagnosis based on the natural history of HPV disease can help elucidate the incidence of HPV infections and the potential benefits of vaccination in mid-adults. METHODS: Real-world data on CIN2+ diagnosis from the prevaccine era were sourced from a statewide surveillance registry in Connecticut. Age distribution of CIN2+ diagnosis in 2008 and 2009 was estimated. A discrete event simulation model was developed to predict the age distribution of causal HPV infection. The optimal age distribution of causal HPV infection provided the best goodness-of-fit statistic to compare the predicted vs real-world age distribution of CIN2+ diagnosis. RESULTS: The median age at CIN2+ diagnosis from 2008 through 2009 in Connecticut was 28 years. The predicted median age at causal HPV infection was estimated to be 23.9 years. There was a difference of 5.2 years in the median age at acquisition of causal HPV infection and the median age at CIN2+ diagnosis. CONCLUSIONS: Real-world data on CIN2+ diagnosis and model-based analysis indicate a substantial burden of infection and disease among women aged 27 years or older, which supports the ACIP recommendation to vaccinate some mid-adults. When natural history is known, this novel approach can also help determine the timing of causal infections for other commonly asymptomatic infectious diseases.
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spelling pubmed-86536282021-12-08 Median Age at HPV Infection Among Women in the United States: A Model-Based Analysis Informed by Real-world Data Prabhu, Vimalanand S Roberts, Craig S Kothari, Smita Niccolai, Linda Open Forum Infect Dis Major Article BACKGROUND: The US Advisory Committee for Immunization Practices (ACIP) recommended shared clinical decision-making for human papillomavirus (HPV) vaccination of individuals aged 27 to 45 years (mid-adults) in June 2019. Determining the median age at causal HPV infection and CIN2+ diagnosis based on the natural history of HPV disease can help elucidate the incidence of HPV infections and the potential benefits of vaccination in mid-adults. METHODS: Real-world data on CIN2+ diagnosis from the prevaccine era were sourced from a statewide surveillance registry in Connecticut. Age distribution of CIN2+ diagnosis in 2008 and 2009 was estimated. A discrete event simulation model was developed to predict the age distribution of causal HPV infection. The optimal age distribution of causal HPV infection provided the best goodness-of-fit statistic to compare the predicted vs real-world age distribution of CIN2+ diagnosis. RESULTS: The median age at CIN2+ diagnosis from 2008 through 2009 in Connecticut was 28 years. The predicted median age at causal HPV infection was estimated to be 23.9 years. There was a difference of 5.2 years in the median age at acquisition of causal HPV infection and the median age at CIN2+ diagnosis. CONCLUSIONS: Real-world data on CIN2+ diagnosis and model-based analysis indicate a substantial burden of infection and disease among women aged 27 years or older, which supports the ACIP recommendation to vaccinate some mid-adults. When natural history is known, this novel approach can also help determine the timing of causal infections for other commonly asymptomatic infectious diseases. Oxford University Press 2021-03-12 /pmc/articles/PMC8653628/ /pubmed/34888404 http://dx.doi.org/10.1093/ofid/ofab111 Text en © Infectious Diseases Society of America 2021. https://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/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Major Article
Prabhu, Vimalanand S
Roberts, Craig S
Kothari, Smita
Niccolai, Linda
Median Age at HPV Infection Among Women in the United States: A Model-Based Analysis Informed by Real-world Data
title Median Age at HPV Infection Among Women in the United States: A Model-Based Analysis Informed by Real-world Data
title_full Median Age at HPV Infection Among Women in the United States: A Model-Based Analysis Informed by Real-world Data
title_fullStr Median Age at HPV Infection Among Women in the United States: A Model-Based Analysis Informed by Real-world Data
title_full_unstemmed Median Age at HPV Infection Among Women in the United States: A Model-Based Analysis Informed by Real-world Data
title_short Median Age at HPV Infection Among Women in the United States: A Model-Based Analysis Informed by Real-world Data
title_sort median age at hpv infection among women in the united states: a model-based analysis informed by real-world data
topic Major Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8653628/
https://www.ncbi.nlm.nih.gov/pubmed/34888404
http://dx.doi.org/10.1093/ofid/ofab111
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