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2 "Yong-Ho Lee"
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Original Articles
The predictive value of resting heart rate in identifying undiagnosed diabetes in Korean adults: Korea National Health and Nutrition Examination Survey
Dong-Hyuk Park, Wonhee Cho, Yong-Ho Lee, Sun Ha Jee, Justin Y. Jeon
Epidemiol Health. 2022;44:e2022009.   Published online January 3, 2022
DOI: https://doi.org/10.4178/epih.e2022009
  • 10,353 View
  • 407 Download
  • 1 Web of Science
  • 2 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
OBJECTIVES
The purpose of this study was (1) to examine whether the addition of resting heart rate (RHR) to the existing undiagnosed diabetes mellitus (UnDM) prediction model would improve predictability, and (2) to develop and validate UnDM prediction models by using only easily assessable variables such as gender, RHR, age, and waist circumference (WC).
METHODS
Korea National Health and Nutrition Examination Survey (KNHANES) 2010, 2012, 2014, 2016 data were used to develop the model (model building set, n=19,675), while the data from 2011, 2013, 2015, 2017 were used to validate the model (validation set, n=19,917). UnDM was defined as a fasting glucose level ≥126 mg/dL or glycated hemoglobin ≥6.5%; however, doctors have not diagnosed it. Statistical package for the social sciences logistic regression analysis was used to determine the predictors of UnDM.
RESULTS
RHR, age, and WC were associated with UnDM. When RHR was added to the existing model, sensitivity was reduced (86 vs. 73%), specificity was increased (49 vs. 65%), and a higher Youden index (35 vs. 38) was expressed. When only gender, RHR, age, and WC were used in the model, a sensitivity, specificity, and Youden index of 70%, 67%, and 37, respectively, were observed.
CONCLUSIONS
Adding RHR to the existing UnDM prediction model improved specificity and the Youden index. Furthermore, when the prediction model only used gender, RHR, age, and WC, the outcomes were not inferior to those of the existing prediction model.
Summary
Korean summary
당뇨병 미인지 또는 미진단은 적절한 치료 시작 시기를 늦추고 당뇨병 합병증 발생의 위험을 높이기 때문에, 각국은 당뇨병 예측 모형을 개발하여 당뇨병을 조기에 예측하고, 치료 시기를 앞당기기 위해 노력하고 있다. 본 연구는 기존의 한국인 당뇨병 예측 모형에 안정시심박수를 추가 변수로 포함시켜, 예측 모형의 성능이 일부개선되는 것을 확인하였고, 더 나아가 나이, 허리 둘레, 그리고 안정시심박수를 포함하여 예측 모형을 개발하고, 그 성능을 확인하였다. 본 연구에서는 간단하게 측정이 가능한 허리 둘레와 안정시심박수 그리고 나이만 포함한 예측 모형이 기존의 예측 모형과 비교해 성능이 열등하지 않은 것을 확인하였다.
Key Message
Higher RHR is associated with increased risk of diabetes. When RHR is added to the Korean undiagnosed diabetes risk score model (Age, Family history of diabetes, Hypertension, Waist circumference, Smoking, Alcohol consumption), the model somewhat increased its predictability of undiagnosed diabetes. Furthermore, the prediction model developed only using age, waist circumference and RHR, which anyone can easily measure or access, had similar predictability to the previous undiagnosed diabetes risk prediction model. The results of this study may help develop future strategies or applications for predicting early undiagnosed diabetes.

Citations

Citations to this article as recorded by  
  • Comparisons of the prediction models for undiagnosed diabetes between machine learning versus traditional statistical methods
    Seong Gyu Choi, Minsuk Oh, Dong–Hyuk Park, Byeongchan Lee, Yong-ho Lee, Sun Ha Jee, Justin Y. Jeon
    Scientific Reports.2023;[Epub]     CrossRef
  • Factors related to undiagnosed diabetes in Korean adults: a secondary data analysis
    Bohyun Kim
    Journal of Korean Biological Nursing Science.2023; 25(4): 295.     CrossRef
Cost-effectiveness analysis of low density lipoprotein cholesterol-lowering therapy in hypertensive patients with type 2 diabetes in Korea: single-pill regimen (amlodipine/atorvastatin) versus double-pill regimen (amlodipine+atorvastatin)
Ji-Hyun Park, Yong-Ho Lee, Su-Kyoung Ko, Bong-Soo Cha
Epidemiol Health. 2015;37:e2015010.   Published online February 22, 2015
DOI: https://doi.org/10.4178/epih/e2015010
  • 20,374 View
  • 198 Download
  • 4 Web of Science
  • 4 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
OBJECTIVES
Single-pill combination therapy (amlodipine/atorvastatin) might be more effective than double-pill therapy (amlodipine+atorvastatin) in patients with diabetes and concomitant hypertension requiring statin therapy. We compared the cost-effectiveness of a single-pill with that of double-pill for control of low density lipoprotein cholesterol (LDL-C) levels, with the ultimate goal of cardiovascular disease prevention, in these patients using a cost-effectiveness analysis model that considered medication adherence.
METHODS
Effectiveness was defined as the percentage (%) attainment of target LDL-C levels (<100 mg/dL) based on adherence for each therapy. Adherence was defined as compliance to medication (≥80% proportion of days covered). A systematic review of the literature was conducted to determine the proportion of patients who were adherent and target goal attainment based on adherence level. The annual medication costs were based on the adherence levels for each regimen. The average cost-effectiveness ratio (ACER) was calculated as the cost per % attainment of the target LDL-C level.
RESULTS
The ACER for the single-pill regimen was lower than for the double-pill regimen (4,123 vs. 6,062 Korean won per 1% achievement of target goal). Compared with the double-pill, the medication costs were approximately 32% lower with the single-pill.
CONCLUSION
A single-pill for reductions in LDL-C is cost-effective compared with double-pill in hypertensive patients with type 2 diabetes.
Summary
Korean summary
본 연구는 고혈압을 동반한 당뇨환자에게 혈중지질의 추가적인 관리가 필요한 경우 단일복합제제(Amlodipine/Atorvastatin) 투여와 단일제제 병용 (Amlodipine + Atorvastatin) 투여의 두 대안에서 복약 순응도를 고려한 비용-효과성을 비교 분석하였다. 복약순응도의 차이는 치료결과에도 영향을 미치게 되어 복약순응군에서의 치료효과가 비순응군의 효과보다 더 우수하므로 비용-효과 분석 결과 단일복합제 투여군이 단일제제 병용투여군과 비교하였을때 더 효율적인 대안임을 확인할 수 있다.

Citations

Citations to this article as recorded by  
  • Fixed‐dose combination of amlodipine and atorvastatin improves clinical outcomes in patients with concomitant hypertension and dyslipidemia
    Chia‐Pin Lin, Ying‐Chang Tung, Fu‐Chih Hsiao, Chia‐Hung Yang, Yi‐Wei Kao, Yu‐Sheng Lin, You‐Chia Chu, Pao‐Hsien Chu
    The Journal of Clinical Hypertension.2020; 22(10): 1846.     CrossRef
  • Bempedoic acid for high-risk patients with CVD as adjunct lipid-lowering therapy: A cost-effectiveness analysis
    Kanila Perera, Ning Kam, Zanfina Ademi, Danny Liew, Ella Zomer
    Journal of Clinical Lipidology.2020; 14(6): 772.     CrossRef
  • Efficacy and Tolerability of Telmisartan/Amlodipine and Rosuvastatin Coadministration in Hypertensive Patients with Hyperlipidemia: A Phase III, Multicenter, Randomized, Double-blind Study
    Tae-Seok Kim, Seung-Woon Rha, Seok-Yeon Kim, Dae-Gyun Park, Ki-Chul Sung, Myung-Ho Yoon, Kye-Hoon Kim, Han-Cheol Lee, Woo-Sik Kim, Yong-Jin Kim, Jeong-Cheon Ahn, Moo-Yong Rhee, Dong-Hun Cha, Byung-Su Yoo, Sang-Ho Park, Ki-Dong Yoo, Dong-Woon Jeon, Young-W
    Clinical Therapeutics.2019; 41(4): 728.     CrossRef
  • Formulations of Amlodipine: A Review
    Muhammad Ali Sheraz, Syed Furqan Ahsan, Marium Fatima Khan, Sofia Ahmed, Iqbal Ahmad
    Journal of Pharmaceutics.2016; 2016: 1.     CrossRef

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