Literature DB >> 33556138

Estimating the disease burden of Korean type 2 diabetes mellitus patients considering its complications.

Juyoung Kim1,2, Seok-Jun Yoon3, Min-Woo Jo1,2.   

Abstract

BACKGROUND: The burden of diabetes is considerable not only globally but also nationally within Korea. The Global Burden of Disease study derived the disability-adjusted life years (DALYs) of diabetes depending on its complications as individual severity using prevalence-based approach from 2017. Conversely, the Korean National Burden of Disease study based on an incidence-based approach does not incorporate the severity of diseases. This study aimed to simulate incidence-based DALYs of type 2 diabetes mellitus (T2DM), given diabetic complications as disease severity using a Markov model.
METHODS: We developed a model with six Markov states, including incident and existing prevalent cases of diabetes and its complications and death. We assumed that diabetes and its complications would not be cured. The cycle length was one year, and the endpoint of the simulation was 100 years. A 5% discount rate was adopted in the analysis. Transition cases were counted by 5-year age groups above 30 years of age. Age- and sex-specific transition probabilities were calculated based on the incident rate.
RESULTS: The total DALY estimates of T2DM were 5,417 and 3,934 per 100,000 population in men and women, respectively. The years of life lost in men were relatively higher than those in women in most age groups except the 80-84 age group. The distribution of years lived with disability by gender and age group showed a bell shape, peaking in the 55-59 age group in men and 65-69 age group in women.
CONCLUSIONS: The burden of T2DM considering its complications was larger compared to the outcomes from previous studies, with more precise morbid duration using the Markov model.

Entities:  

Year:  2021        PMID: 33556138      PMCID: PMC7870056          DOI: 10.1371/journal.pone.0246635

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  33 in total

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Authors:  Juneyoung Lee; Ji Sung Lee; Sook-Hee Park; Soon Ae Shin; KeeWhan Kim
Journal:  Int J Epidemiol       Date:  2017-04-01       Impact factor: 7.196

2.  Economic burden of chronic kidney disease in Korea using national sample cohort.

Authors:  Seon-Ha Kim; Min-Woo Jo; Dun-Sol Go; Dong-Ryeol Ryu; Jongha Park
Journal:  J Nephrol       Date:  2017-03-16       Impact factor: 3.902

Review 3.  Global aetiology and epidemiology of type 2 diabetes mellitus and its complications.

Authors:  Yan Zheng; Sylvia H Ley; Frank B Hu
Journal:  Nat Rev Endocrinol       Date:  2017-12-08       Impact factor: 43.330

4.  Distinguishing incident and prevalent diabetes in an electronic medical records database.

Authors:  Ronac Mamtani; Kevin Haynes; Brian S Finkelman; Frank I Scott; James D Lewis
Journal:  Pharmacoepidemiol Drug Saf       Date:  2013-12-19       Impact factor: 2.890

5.  Estimating the number and length of episodes in disability using a Markov chain approach.

Authors:  Christian Dudel; Mikko Myrskylä
Journal:  Popul Health Metr       Date:  2020-07-29

6.  Diabetes Mellitus-Related All-Cause and Cardiovascular Mortality in a National Cohort of Adults.

Authors:  Sridharan Raghavan; Jason L Vassy; Yuk-Lam Ho; Rebecca J Song; David R Gagnon; Kelly Cho; Peter W F Wilson; Lawrence S Phillips
Journal:  J Am Heart Assoc       Date:  2019-02-19       Impact factor: 5.501

7.  Incidence-Based versus Prevalence-Based Approaches on Measuring Disability-Adjusted Life Years for Injury.

Authors:  Bohyun Park; Bomi Park; Won Kyung Lee; Young-Eun Kim; Seok-Jun Yoon; Hyesook Park
Journal:  J Korean Med Sci       Date:  2019-02-27       Impact factor: 2.153

8.  Trends in the prevalence and management of diabetes in Korea: 2007-2017.

Authors:  Ji-Yeon Shin
Journal:  Epidemiol Health       Date:  2019-07-04

Review 9.  Use of DALYs in economic analyses on interventions for infectious diseases: a systematic review.

Authors:  A J J M Oostvogels; G A De Wit; B Jahn; A Cassini; E Colzani; C De Waure; M E E Kretzschmar; U Siebert; N Mühlberger; M-J J Mangen
Journal:  Epidemiol Infect       Date:  2014-12-12       Impact factor: 2.451

10.  Diabetes and all-cause mortality, a 18-year follow-up study.

Authors:  Rezvan Salehidoost; Asieh Mansouri; Massoud Amini; Sima Aminorroaya Yamini; Ashraf Aminorroaya
Journal:  Sci Rep       Date:  2020-02-21       Impact factor: 4.379

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  1 in total

1.  Diabetes Fact Sheet in Korea 2021.

Authors:  Jae Hyun Bae; Kyung-Do Han; Seung-Hyun Ko; Ye Seul Yang; Jong Han Choi; Kyung Mook Choi; Hyuk-Sang Kwon; Kyu Chang Won
Journal:  Diabetes Metab J       Date:  2022-05-25       Impact factor: 5.893

  1 in total

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