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Interrogating an ICD-coded electronic health records database to characterize the epidemiology of prosopagnosia

INTRODUCTION: Recognition of faces of family members, friends, and colleagues is an important skill essential for everyday life. Individuals affected by prosopagnosia (face blindness) have difficulty recognizing familiar individuals. The prevalence of prosopagnosia has been estimated to be as high a...

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Autores principales: Pressl, Christina, Jiang, Caroline S., Correa da Rosa, Joel, Friedrich, Maximilian, Vaughan, Roger, Freiwald, Winrich A., Tobin, Jonathan N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8057409/
https://www.ncbi.nlm.nih.gov/pubmed/33948237
http://dx.doi.org/10.1017/cts.2020.497
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author Pressl, Christina
Jiang, Caroline S.
Correa da Rosa, Joel
Friedrich, Maximilian
Vaughan, Roger
Freiwald, Winrich A.
Tobin, Jonathan N.
author_facet Pressl, Christina
Jiang, Caroline S.
Correa da Rosa, Joel
Friedrich, Maximilian
Vaughan, Roger
Freiwald, Winrich A.
Tobin, Jonathan N.
author_sort Pressl, Christina
collection PubMed
description INTRODUCTION: Recognition of faces of family members, friends, and colleagues is an important skill essential for everyday life. Individuals affected by prosopagnosia (face blindness) have difficulty recognizing familiar individuals. The prevalence of prosopagnosia has been estimated to be as high as 3%. Prosopagnosia can severely impact the quality of life of those affected, and it has been suggested to co-occur with conditions such as depression and anxiety. METHODS: To determine real-world diagnostic frequency of prosopagnosia and the spectrum of its comorbidities, we utilized a large database of more than 7.5 million de-identified electronic health records (EHRs) from patients who received care at major academic health centers and Federally Qualified Health Centers in New York City. We designed a computable phenotype to search the database for diagnosed cases of prosopagnosia, revealing a total of n = 902 cases. In addition, data from a randomly sampled matched control population (n = 100,973) were drawn from the database for comparative analyses to study the condition’s comorbidity landscape. Diagnostic frequency of prosopagnosia, epidemiological characteristics, and comorbidity landscape were assessed. RESULTS: We observed prosopagnosia diagnoses at a rate of 0.012% (12 per 100,000 individuals). We discovered elevated frequency of prosopagnosia diagnosis for individuals who carried certain comorbid conditions, such as personality disorder, depression, epilepsy, and anxiety. Moreover, prosopagnosia diagnoses increased with the number of comorbid conditions. CONCLUSIONS: Results from this study show a wide range of comorbidities and suggest that prosopagnosia is vastly underdiagnosed. Findings imply important clinical consequences for the diagnosis and management of prosopagnosia as well as its comorbid conditions.
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spelling pubmed-80574092021-05-03 Interrogating an ICD-coded electronic health records database to characterize the epidemiology of prosopagnosia Pressl, Christina Jiang, Caroline S. Correa da Rosa, Joel Friedrich, Maximilian Vaughan, Roger Freiwald, Winrich A. Tobin, Jonathan N. J Clin Transl Sci Research Article INTRODUCTION: Recognition of faces of family members, friends, and colleagues is an important skill essential for everyday life. Individuals affected by prosopagnosia (face blindness) have difficulty recognizing familiar individuals. The prevalence of prosopagnosia has been estimated to be as high as 3%. Prosopagnosia can severely impact the quality of life of those affected, and it has been suggested to co-occur with conditions such as depression and anxiety. METHODS: To determine real-world diagnostic frequency of prosopagnosia and the spectrum of its comorbidities, we utilized a large database of more than 7.5 million de-identified electronic health records (EHRs) from patients who received care at major academic health centers and Federally Qualified Health Centers in New York City. We designed a computable phenotype to search the database for diagnosed cases of prosopagnosia, revealing a total of n = 902 cases. In addition, data from a randomly sampled matched control population (n = 100,973) were drawn from the database for comparative analyses to study the condition’s comorbidity landscape. Diagnostic frequency of prosopagnosia, epidemiological characteristics, and comorbidity landscape were assessed. RESULTS: We observed prosopagnosia diagnoses at a rate of 0.012% (12 per 100,000 individuals). We discovered elevated frequency of prosopagnosia diagnosis for individuals who carried certain comorbid conditions, such as personality disorder, depression, epilepsy, and anxiety. Moreover, prosopagnosia diagnoses increased with the number of comorbid conditions. CONCLUSIONS: Results from this study show a wide range of comorbidities and suggest that prosopagnosia is vastly underdiagnosed. Findings imply important clinical consequences for the diagnosis and management of prosopagnosia as well as its comorbid conditions. Cambridge University Press 2020-06-19 /pmc/articles/PMC8057409/ /pubmed/33948237 http://dx.doi.org/10.1017/cts.2020.497 Text en © The Association for Clinical and Translational Science 2020 https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
spellingShingle Research Article
Pressl, Christina
Jiang, Caroline S.
Correa da Rosa, Joel
Friedrich, Maximilian
Vaughan, Roger
Freiwald, Winrich A.
Tobin, Jonathan N.
Interrogating an ICD-coded electronic health records database to characterize the epidemiology of prosopagnosia
title Interrogating an ICD-coded electronic health records database to characterize the epidemiology of prosopagnosia
title_full Interrogating an ICD-coded electronic health records database to characterize the epidemiology of prosopagnosia
title_fullStr Interrogating an ICD-coded electronic health records database to characterize the epidemiology of prosopagnosia
title_full_unstemmed Interrogating an ICD-coded electronic health records database to characterize the epidemiology of prosopagnosia
title_short Interrogating an ICD-coded electronic health records database to characterize the epidemiology of prosopagnosia
title_sort interrogating an icd-coded electronic health records database to characterize the epidemiology of prosopagnosia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8057409/
https://www.ncbi.nlm.nih.gov/pubmed/33948237
http://dx.doi.org/10.1017/cts.2020.497
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