Cargando…

Cross-Sectional Analysis of Paronychias in the National Electronic Injury Surveillance System 1999–2018

INTRODUCTION: Paronychia is the most common hand infection. Prior paronychia studies were limited by small patient numbers. We conducted a national-level analysis over two decades, analyzing demographics, etiologies, and trends in paronychia cases. METHODS: We conducted a retrospective analysis of p...

Descripción completa

Detalles Bibliográficos
Autores principales: Desai, Amar D., Wang, Yu, Nadarajah, Cajeton Clint, Lipner, Shari R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: S. Karger AG 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9672864/
https://www.ncbi.nlm.nih.gov/pubmed/36407642
http://dx.doi.org/10.1159/000525032
_version_ 1784832834518646784
author Desai, Amar D.
Wang, Yu
Nadarajah, Cajeton Clint
Lipner, Shari R.
author_facet Desai, Amar D.
Wang, Yu
Nadarajah, Cajeton Clint
Lipner, Shari R.
author_sort Desai, Amar D.
collection PubMed
description INTRODUCTION: Paronychia is the most common hand infection. Prior paronychia studies were limited by small patient numbers. We conducted a national-level analysis over two decades, analyzing demographics, etiologies, and trends in paronychia cases. METHODS: We conducted a retrospective analysis of paronychia cases in the 1999–2018 National Electronic Injury Surveillance System database. Sex, race, age, and cause were recorded and compared using χ<sup>2</sup>, ANOVA, and t tests. Multivariable linear regression analysis assessed changes in age, weight, and sex over time. RESULTS: We analyzed a total of 2,512 cases, with an average age of 27.6 ± 20.6 years, 45.5% females, and 25.6% white and 28.6% black patients. In multivariable linear regression, both age and weight significantly increased over time. Manicuring was the most common etiology (30.9%), increasing in incidence over time and with a higher frequency in adults (p < 0.0001) and females (p < 0.0001). There was a significant decrease in pediatric paronychia cases over time, particularly in 0- to 4-year-olds. Possible limitations include missed paronychia cases or additional non-paronychia cases due to improper coding, infrequent race reporting, and inability to analyze treatments or distinguish between paronychia subtypes. CONCLUSIONS: Paronychia cases were associated with increased age and weight over time with different presentations by age. Manicuring represents the largest growing paronychia etiology.
format Online
Article
Text
id pubmed-9672864
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher S. Karger AG
record_format MEDLINE/PubMed
spelling pubmed-96728642022-11-19 Cross-Sectional Analysis of Paronychias in the National Electronic Injury Surveillance System 1999–2018 Desai, Amar D. Wang, Yu Nadarajah, Cajeton Clint Lipner, Shari R. Skin Appendage Disord Clinical Investigations − Research Article INTRODUCTION: Paronychia is the most common hand infection. Prior paronychia studies were limited by small patient numbers. We conducted a national-level analysis over two decades, analyzing demographics, etiologies, and trends in paronychia cases. METHODS: We conducted a retrospective analysis of paronychia cases in the 1999–2018 National Electronic Injury Surveillance System database. Sex, race, age, and cause were recorded and compared using χ<sup>2</sup>, ANOVA, and t tests. Multivariable linear regression analysis assessed changes in age, weight, and sex over time. RESULTS: We analyzed a total of 2,512 cases, with an average age of 27.6 ± 20.6 years, 45.5% females, and 25.6% white and 28.6% black patients. In multivariable linear regression, both age and weight significantly increased over time. Manicuring was the most common etiology (30.9%), increasing in incidence over time and with a higher frequency in adults (p < 0.0001) and females (p < 0.0001). There was a significant decrease in pediatric paronychia cases over time, particularly in 0- to 4-year-olds. Possible limitations include missed paronychia cases or additional non-paronychia cases due to improper coding, infrequent race reporting, and inability to analyze treatments or distinguish between paronychia subtypes. CONCLUSIONS: Paronychia cases were associated with increased age and weight over time with different presentations by age. Manicuring represents the largest growing paronychia etiology. S. Karger AG 2022-11 2022-06-08 /pmc/articles/PMC9672864/ /pubmed/36407642 http://dx.doi.org/10.1159/000525032 Text en Copyright © 2022 by The Author(s). Published by S. Karger AG, Basel https://creativecommons.org/licenses/by/4.0/This article is licensed under the Creative Commons Attribution 4.0 International License (CC BY). Usage, derivative works and distribution are permitted provided that proper credit is given to the author and the original publisher.
spellingShingle Clinical Investigations − Research Article
Desai, Amar D.
Wang, Yu
Nadarajah, Cajeton Clint
Lipner, Shari R.
Cross-Sectional Analysis of Paronychias in the National Electronic Injury Surveillance System 1999–2018
title Cross-Sectional Analysis of Paronychias in the National Electronic Injury Surveillance System 1999–2018
title_full Cross-Sectional Analysis of Paronychias in the National Electronic Injury Surveillance System 1999–2018
title_fullStr Cross-Sectional Analysis of Paronychias in the National Electronic Injury Surveillance System 1999–2018
title_full_unstemmed Cross-Sectional Analysis of Paronychias in the National Electronic Injury Surveillance System 1999–2018
title_short Cross-Sectional Analysis of Paronychias in the National Electronic Injury Surveillance System 1999–2018
title_sort cross-sectional analysis of paronychias in the national electronic injury surveillance system 1999–2018
topic Clinical Investigations − Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9672864/
https://www.ncbi.nlm.nih.gov/pubmed/36407642
http://dx.doi.org/10.1159/000525032
work_keys_str_mv AT desaiamard crosssectionalanalysisofparonychiasinthenationalelectronicinjurysurveillancesystem19992018
AT wangyu crosssectionalanalysisofparonychiasinthenationalelectronicinjurysurveillancesystem19992018
AT nadarajahcajetonclint crosssectionalanalysisofparonychiasinthenationalelectronicinjurysurveillancesystem19992018
AT lipnersharir crosssectionalanalysisofparonychiasinthenationalelectronicinjurysurveillancesystem19992018