Cross-Sectional Analysis of Paronychias in the National Electronic Injury Surveillance System 1999-2018. Academic Article uri icon

Overview

abstract

  • 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 χ2, 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.

publication date

  • June 8, 2022

Identity

PubMed Central ID

  • PMC9672864

Scopus Document Identifier

  • 85131920040

Digital Object Identifier (DOI)

  • 10.1159/000525032

PubMed ID

  • 36407642

Additional Document Info

volume

  • 8

issue

  • 6