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Medical, Environmental, and Social Determinants Associated With Periocular Cutaneous Malignancies in the United States Using the All of Us National Database.
Radgoudarzi, Niloofar; Dallalzadeh, Liane; Saseendrakumar, Bharanidharan R; Guo, Joy; Halfpenny, William; Kikkawa, Don O; Baxter, Sally.
Afiliación
  • Radgoudarzi N; Division of Ophthalmology Informatics and Data Science, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California San Diego, La Jolla, USA.
  • Dallalzadeh L; Division of Oculofacial Plastic and Orbital Surgery, Department of Ophthalmology, University of Texas Southwestern Medical Center, Dallas, USA.
  • Saseendrakumar BR; Division of Ophthalmology Informatics and Data Science, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California San Diego, La Jolla, USA.
  • Guo J; Health Department of Biomedical Informatics, University of California San Diego, La Jolla, USA.
  • Halfpenny W; Division of Ophthalmology Informatics and Data Science, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California San Diego, La Jolla, USA.
  • Kikkawa DO; Division of Oculofacial Plastic and Reconstructive Surgery, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California San Diego, La Jolla, USA.
  • Baxter S; Division of Ophthalmology Informatics and Data Science, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California San Diego, La Jolla, USA.
Cureus ; 16(7): e65831, 2024 Jul.
Article en En | MEDLINE | ID: mdl-39219888
ABSTRACT

OBJECTIVE:

To identify common factors associated with periocular cutaneous malignancies using the National Institutes of Health (NIH) All of Us database.

METHODOLOGY:

In this case-control study, we extracted electronic health records and sociodemographic data for 385 cases of periocular cutaneous malignancies from the All of Us nationwide database. Controls (N = 1540) were matched to the demographic characteristics of the 2020 United States Census. Bivariate analyses and multivariable logistic regression determined variables significantly associated with increased odds of periocular cutaneous malignancies. We analyzed medical, environmental, and social determinants to evaluate which factors were associated with increased odds of periocular cutaneous malignancies.

RESULTS:

Among the cases, the mean (standard deviation) age was 66.8 (11.2) years at the time of diagnosis. The majority were male (207, 54%) and white (361, 94%). Periocular cutaneous malignancy was significantly more likely among individuals with high sun exposure (odds ratio [OR] 14.79, 95% confidence interval [CI] 3.35-85.73, P = 0.001), those identifying as white race (OR 3.88, 95% CI 1.06-25.33, P = 0.079), and those with higher socioeconomic status, including higher annual income (OR 1.35, 95% CI 1.25-1.46, P < 0.001).

CONCLUSIONS:

This study demonstrates similar risk factors for periocular cutaneous malignancies, echoing prior research that showed increased associations with lighter-pigmented skin and higher socioeconomic status. It also sheds light on the positive impact of physician surveillance and health utilization factors in the early detection and treatment of these malignancies, aspects less explored in prior analyses.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Cureus Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Cureus Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos