Epidemiology of Inherited Retinal Diseases in Korea: A National Health Information Database Analysis (2011-2020)

Purpose: We evaluated the incidence and prevalence of inherited retinal diseases (IRDs) in Korea using a national database.Methods: This retrospective study used the National Health Information Database to enroll patients with IRDs (registration code V209) between January 2011 and December 2020. Incidence and prevalence of IRDs were analyzed and stratified by age, sex, geographic location, and socioeconomic status.Results: During the study period, 10,228 patients were diagnosed with IRD, yielding an annual incidence rate of 1.60–2.35 per 100,000 individuals. In 2020, the prevalence of IRD reached 27.1 cases per 100,000 individuals. Initial diagnoses were primarily concentrated in Seoul (44.4%), metropolitan areas (29.4%), and Gyeonggi province (12.1%). Notably, less than 50% of patients received their initial diagnosis in their home region, except for residents of Seoul (94.0%), metropolitan areas (76.8%), and Jeju Island (70.8%). The incidence of IRDs was higher among the top 25% income bracket, compared to other income levels.Conclusions: Our study provides the first nationwide, population-based estimates of IRD incidence and prevalence in Korea. Our findings reveal significant regional and socioeconomic disparities in IRD healthcare access, emphasizing the need for targeted interventions.

Authors

Publication Details

Journal
Journal of the Korean Ophthalmological Society
Published
2024-09-13
DOI
https://doi.org/10.3341/jkos.2024.65.9.605
Primary Topic
Ocular Diseases and Behçet’s Syndrome
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Epidemiology of Inherited Retinal Diseases in Korea: A National Health Information Database Analysis (2011-2020)

Sungsoon Hwang, Sang Jin Kim, Hee Jee Yun
Journal of the Korean Ophthalmological Society
Ocular Diseases and Behçet’s Syndrome
article

Epidemiology of Inherited Retinal Diseases in Korea: A National Health Information Database Analysis (2011-2020)

Sungsoon Hwang, Sang Jin Kim, Hee Jee Yun
article en

Abstract

Purpose: We evaluated the incidence and prevalence of inherited retinal diseases (IRDs) in Korea using a national database.Methods: This retrospective study used the National Health Information Database to enroll patients with IRDs (registration code V209) between January 2011 and December 2020. Incidence and prevalence of IRDs were analyzed and stratified by age, sex, geographic location, and socioeconomic status.Results: During the study period, 10,228 patients were diagnosed with IRD, yielding an annual incidence rate of 1.60–2.35 per 100,000 individuals. In 2020, the prevalence of IRD reached 27.1 cases per 100,000 individuals. Initial diagnoses were primarily concentrated in Seoul (44.4%), metropolitan areas (29.4%), and Gyeonggi province (12.1%). Notably, less than 50% of patients received their initial diagnosis in their home region, except for residents of Seoul (94.0%), metropolitan areas (76.8%), and Jeju Island (70.8%). The incidence of IRDs was higher among the top 25% income bracket, compared to other income levels.Conclusions: Our study provides the first nationwide, population-based estimates of IRD incidence and prevalence in Korea. Our findings reveal significant regional and socioeconomic disparities in IRD healthcare access, emphasizing the need for targeted interventions.

Journal of the Korean Ophthalmological SocietyVol. 65(9)
No poverty
Openalex Percentile: Top 73%
Ocular Diseases and Behçet’s Syndrome
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.