Literature DB >> 21074286

Use of the UKPDS Outcomes Model to predict all-cause mortality in U.S. adults with type 2 diabetes mellitus: comparison of predicted versus observed mortality.

May Song1, Charles M Alexander, Panagiotis Mavros, Victor A Lopez, Shaista Malik, Hemant M Phatak, Nathan D Wong.   

Abstract

AIMS: The applicability of the United Kingdom Prospective Diabetes Study (UKPDS) Outcomes Model is unknown in populations with type 2 diabetes mellitus (T2DM) outside the United Kingdom. We compared all-cause mortality predicted from the UKPDS model with observed mortality among T2DM subjects in the U.S.
METHODS: we studied participants with T2DM from the National Health and Nutrition Examination Survey 1988-1994 with characteristics comparable to the UKPDS cohort. The 10-year observed all-cause mortality was compared to the UKPDS model-predicted mortality. The Lifetable method was used to estimate the probability of mortality for 10 years following diagnosis.
RESULTS: among 156 subjects with characteristics comparable to the UKPDS cohort, mean age was 49.6 years, age at T2DM diagnosis was 47.1 years, and T2DM duration averaged 2.6 years, with follow-up for 10.4 years. The UKPDS model-predicted 10-year mortality was 15.7%, similar to the observed mortality of 14.2%. Corresponding 10-year predicted versus observed mortality was 32.7% versus 32.4% including subjects >age 65, 17.0% versus 19.3% including individuals with pre-existing CVD, and 31.1% versus 20.9% including individuals with diabetes duration ≥ 6 years.
CONCLUSION: all-cause mortality predicted by the UKPDS model was comparable to observed mortality in U.S. NHANES participants with characteristics similar to the UKPDS. 2010 Elsevier Ireland Ltd. All rights reserved.

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Year:  2010        PMID: 21074286     DOI: 10.1016/j.diabres.2010.10.011

Source DB:  PubMed          Journal:  Diabetes Res Clin Pract        ISSN: 0168-8227            Impact factor:   5.602


  6 in total

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Authors:  Peter Wahlqvist; Jay Warner; Robert Morlock
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2.  Temporal validation of the UKPDS outcomes model using 10-year posttrial monitoring data.

Authors:  Jose Leal; Alison J Hayes; Alastair M Gray; Rury R Holman; Philip M Clarke
Journal:  Diabetes Care       Date:  2012-12-28       Impact factor: 19.112

3.  The Diabetes Management Education Program in South Texas: An Economic and Clinical Impact Analysis.

Authors:  Bita A Kash; Szu-Hsuan Lin; Juha Baek; Robert L Ohsfeldt
Journal:  Front Public Health       Date:  2017-12-18

4.  Prediction of mortality and macrovascular complications in type 2 diabetes: validation of the UKPDS Outcomes Model in the Casale Monferrato Survey, Italy.

Authors:  E Pagano; A Gray; R Rosato; G Gruden; P Cavallo Perin; F Merletti; G Bruno
Journal:  Diabetologia       Date:  2013-05-17       Impact factor: 10.122

5.  Adapting and validating diabetes simulation models across settings: accounting for mortality differences using administrative data.

Authors:  Alison J Hayes; Wendy A Davis; Timothy M Davis; Philip M Clarke
Journal:  J Diabetes Complications       Date:  2013-06-13       Impact factor: 3.219

6.  The cost-effectiveness of hospital-based telephone coaching for people with type 2 diabetes: a 10 year modelling analysis.

Authors:  J E Varney; D Liew; T J Weiland; W J Inder; G A Jelinek
Journal:  BMC Health Serv Res       Date:  2016-09-27       Impact factor: 2.655

  6 in total

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