Comorbidity Patterns and Management in Inpatients with Endocrine Diseases by Age Groups in South Korea: Nationwide Data
Sung-Soo Kim, Hun-Sung Kim

TL;DR
This study analyzed comorbidity patterns in South Korean inpatients with endocrine diseases across different age groups to help develop better management strategies.
Contribution
The study identifies age-specific comorbidity associations in endocrine disease patients using nationwide data and association rule mining.
Findings
Common comorbidities include diabetes mellitus, hypertension, and lipid disorders across all age groups.
Women were more frequently diagnosed with endocrine diseases and had a higher average age than men.
Age-specific comorbidity patterns were identified using association rule mining techniques.
Abstract
This study aimed to examine comorbidity associations across age groups of inpatients with endocrine diseases as the primary diagnosis throughout the life cycle to develop an effective management strategy. Data were obtained from the Korean National Hospital Discharge In-depth Injury Survey (KNHDS) from 2006 to 2021, involving 68,515 discharged patients aged ≥ 19 years with a principal diagnosis of endocrine disease. A database was constructed for analysis, extracting general characteristics and comorbidities. Employing R version 4.2.3, the Chi-squared test and the Apriori algorithm of ARM (association rule mining) were used for analyzing general characteristics and comorbidity associations. There were more women (53.1%) than men (46.9%) (p < 0.001, with women (61.2 ± 17.2) having a higher average age than men (58.6 ± 58.6) (p < 0.001). Common comorbidities include unspecified diabetes…
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Taxonomy
TopicsDiabetes Management and Research
