Predicting Changes in Cardiovascular Risk Factors in Type 2 Diabetes in the Post-UKPDS Era: Longitudinal Analysis of the Swedish National Diabetes Register.
(2013) In Journal of Diabetes Research 2013(2013).- Abstract
- The aim of the current study was to provide updated time-path equations for risk factors of type-2-diabetes-related cardiovascular complications for application in risk calculators and health economic models. Observational data from the Swedish National Diabetes Register were analysed using Generalized Method of Moments estimation for dynamic panel models (N = 5,043, aged 25-70 years at diagnosis in 2001-2004). Validation was performed using persons diagnosed in 2005 (n = 414). Results were compared with the UKPDS outcome model. The value of the risk factor in the previous year was the main predictor of the current value of the risk factor. People with high (low) values of risk factor in the year of diagnosis experienced a decreasing... (More)
- The aim of the current study was to provide updated time-path equations for risk factors of type-2-diabetes-related cardiovascular complications for application in risk calculators and health economic models. Observational data from the Swedish National Diabetes Register were analysed using Generalized Method of Moments estimation for dynamic panel models (N = 5,043, aged 25-70 years at diagnosis in 2001-2004). Validation was performed using persons diagnosed in 2005 (n = 414). Results were compared with the UKPDS outcome model. The value of the risk factor in the previous year was the main predictor of the current value of the risk factor. People with high (low) values of risk factor in the year of diagnosis experienced a decreasing (increasing) trend over time. BMI was associated with elevations in all risk factors, while older age at diagnosis and being female generally corresponded to lower levels of risk factors. Updated time-path equations predicted risk factors more precisely than UKPDS outcome model equations in a Swedish population. Findings indicate new time paths for cardiovascular risk factors in the post-UKPDS era. The validation analysis confirmed the importance of updating the equations as new data become available; otherwise, the results of health economic analyses may be biased. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/3804458
- author
- Ahmad Kiadaliri, Aliasghar LU ; Clarke, Philip LU ; Gerdtham, Ulf LU ; Nilsson, Peter LU ; Eliasson, Björn ; Gudbjörnsdottir, Soffia and Steen Carlsson, Katarina LU
- organization
- publishing date
- 2013
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Journal of Diabetes Research
- volume
- 2013
- issue
- 2013
- article number
- 241347
- publisher
- Hindawi Limited
- external identifiers
-
- wos:000318612200001
- pmid:23671860
- scopus:84879379552
- pmid:23671860
- ISSN
- 2314-6753
- DOI
- 10.1155/2013/241347
- language
- English
- LU publication?
- yes
- id
- 0a97bddd-71f0-4cf8-aae0-1f0c13189743 (old id 3804458)
- alternative location
- http://www.ncbi.nlm.nih.gov/pubmed/23671860?dopt=Abstract
- date added to LUP
- 2016-04-01 09:59:31
- date last changed
- 2023-08-30 15:04:43
@article{0a97bddd-71f0-4cf8-aae0-1f0c13189743, abstract = {{The aim of the current study was to provide updated time-path equations for risk factors of type-2-diabetes-related cardiovascular complications for application in risk calculators and health economic models. Observational data from the Swedish National Diabetes Register were analysed using Generalized Method of Moments estimation for dynamic panel models (N = 5,043, aged 25-70 years at diagnosis in 2001-2004). Validation was performed using persons diagnosed in 2005 (n = 414). Results were compared with the UKPDS outcome model. The value of the risk factor in the previous year was the main predictor of the current value of the risk factor. People with high (low) values of risk factor in the year of diagnosis experienced a decreasing (increasing) trend over time. BMI was associated with elevations in all risk factors, while older age at diagnosis and being female generally corresponded to lower levels of risk factors. Updated time-path equations predicted risk factors more precisely than UKPDS outcome model equations in a Swedish population. Findings indicate new time paths for cardiovascular risk factors in the post-UKPDS era. The validation analysis confirmed the importance of updating the equations as new data become available; otherwise, the results of health economic analyses may be biased.}}, author = {{Ahmad Kiadaliri, Aliasghar and Clarke, Philip and Gerdtham, Ulf and Nilsson, Peter and Eliasson, Björn and Gudbjörnsdottir, Soffia and Steen Carlsson, Katarina}}, issn = {{2314-6753}}, language = {{eng}}, number = {{2013}}, publisher = {{Hindawi Limited}}, series = {{Journal of Diabetes Research}}, title = {{Predicting Changes in Cardiovascular Risk Factors in Type 2 Diabetes in the Post-UKPDS Era: Longitudinal Analysis of the Swedish National Diabetes Register.}}, url = {{https://lup.lub.lu.se/search/files/1456096/4090688.pdf}}, doi = {{10.1155/2013/241347}}, volume = {{2013}}, year = {{2013}}, }