Screening Model for Estimating Undiagnosed Diabetes among People with a Family History of Diabetes Mellitus: A KNHANES-Based Study

Abstract

A screening model for estimating undiagnosed diabetes mellitus (UDM) is important for early medical care. There is minimal research and a serious lack of screening models for people with a family history of diabetes (FHD), especially one which incorporates gender characteristics. Therefore, the primary objective of our study was to develop a screening model for estimating UDM among people with FHD and enable its validation. We used data from the Korean National Health and Nutrition Examination Survey (KNHANES). KNAHNES (2010–2016) was used as a developmental cohort (n = 5939) and was then evaluated in a validation cohort (n = 1047) KNHANES (2017). We developed the screening model for UDM in male (SMM), female (SMF), and male and female combined (SMP) with FHD using backward stepwise logistic regression analysis. The SMM and SMF showed an appropriate performance (area under curve (AUC) = 76.2% and 77.9%) compared with SMP (AUC = 72.9%) in the validation cohort. Consequently, simple screening models were developed and validated, for the estimation of UDM among patients in the FHD group, which is expected to reduce the burden on the national health care system.

Risk of Typical Diabetes-Associated Complications in Different Clusters of Diabetic Patients: Analysis of Nine Risk Factors

“…Interestingly, the diabetic cluster defined by insulin resistance as the predominant cause of diabetes showed the greatest risk of progressing to renal complications like chronic kidney disease, macroalbuminuria, or end-stage renal disease within the next decade compared to the other clusters defined by autoimmune diabetes, insulin deficiency diabetes, mild age-related diabetes, and mild obesity-related diabetes [ 11 ]. The importance of cluster analyses has also been highlighted by a study of Ryu et al, who developed a screening model including gender-specific characteristics for the estimation of an undiagnosed diabetes mellitus in high-risk patients for development of diabetes mellitus, namely patients with a positive family history of diabetes [ 16 ]. Additionally, more recently, Nedyalkova et al showed that k -means clustering to detect clinical variables might be useful to stratify type 2 diabetics into distinct subgroups of risk factors [ 17 ].…”

Risk Factors of Undiagnosed Diabetes Mellitus among Korean Adults: A National Cross-Sectional Study Using the KNHANES Data

“…Therefore, it is necessary to implement public health campaigns or programs to improve screening test participation in vulnerable populations. Previous studies have also developed simple screening methods for DM for specific populations using risk score models [10,[46][47][48]. We suggest that healthcare providers use the existing screening methods for DM with people at risk of UDM along with public health actions.…”

Pulse pressure and the risk of renal hyperfiltration in young adults: Results from Korea National Health and Nutrition Examination Survey (2010–2019)

“…It is composed of three component surveys: a health interview, health examination and nutrition survey. The surveys collect detailed information on socioeconomic status, health behaviors, quality of life, healthcare utilization, anthropometric measures, biochemical profiles using fasting blood serum and urine, measures for dental health, vision, hearing and bone density, X-ray test results food intake and dietary behavior ( 15 , 16 ). For this study, a total of 80,861 participants were screened.…”