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UKPDS 60: risk of stroke in type 2 diabetes estimated by the UK Prospective Diabetes Study risk engine

UKPDS 60: risk of stroke in type 2 diabetes estimated by the UK Prospective Diabetes Study risk engine
UKPDS 60: risk of stroke in type 2 diabetes estimated by the UK Prospective Diabetes Study risk engine

Background and purpose: people with type 2 diabetes are at elevated risk of stroke compared with those without diabetes. Relative risks have been examined in earlier work, but there is no readily available method for predicting the absolute risk of stroke in a diabetic individual. We developed mathematical models to estimate the risk of a first stroke using data from 4549 newly diagnosed type 2 diabetic patients enrolled in the UK Prospective Diabetes Study. 

Methods: during 30 700 person-years of follow-up, 188 first strokes (52 fatal) occurred. Model fitting was carried out by maximum likelihood estimation using the Newton-Raphson method. Diagnostic plots were used to compare survival probabilities calculated by the model with those calculated using nonparametric methods. 

Results: variables included in the final model were duration of diabetes, age, sex, smoking, systolic blood pressure, total cholesterol to high-density lipoprotein cholesterol ratio and presence of atrial fibrillation. Not included in the model were body mass index, hemoglobin A1c, ethnicity, and ex-smoking status. The use of the model is illustrated with a hypothetical study power calculation.

Conclusions: this model forecasts the absolute risk of a first stroke in people with type 2 diabetes using variables readily available in routine clinical practice.

Blood pressure, Cholesterol, Diabetes mellitus, Statistics, Stroke
0039-2499
1776-1781
Kothari, Viti
f88cb53e-00e3-4459-8957-f7f8f4e1887b
Stevens, Richard J.
9a5e134d-81ce-45cb-bd07-cf07cbcc93e9
Adler, Amanda I.
d02dfdd6-ca6f-4cdc-91ab-8eb79ff94d7f
Stratton, Irene M.
772f25b9-23c0-4240-a3f6-1e76b03b172f
Manley, Susan E.
46bacfff-cf40-4894-86d8-4aa07e302e70
Neil, H. Andrew
eea88bb9-21c9-4f51-9d3a-e6179c53e0ec
Holman, Rudy R.
336fb2f7-edb5-4d65-a7b0-465111cbd047
Kothari, Viti
f88cb53e-00e3-4459-8957-f7f8f4e1887b
Stevens, Richard J.
9a5e134d-81ce-45cb-bd07-cf07cbcc93e9
Adler, Amanda I.
d02dfdd6-ca6f-4cdc-91ab-8eb79ff94d7f
Stratton, Irene M.
772f25b9-23c0-4240-a3f6-1e76b03b172f
Manley, Susan E.
46bacfff-cf40-4894-86d8-4aa07e302e70
Neil, H. Andrew
eea88bb9-21c9-4f51-9d3a-e6179c53e0ec
Holman, Rudy R.
336fb2f7-edb5-4d65-a7b0-465111cbd047

Kothari, Viti, Stevens, Richard J., Adler, Amanda I., Stratton, Irene M., Manley, Susan E., Neil, H. Andrew and Holman, Rudy R. (2002) UKPDS 60: risk of stroke in type 2 diabetes estimated by the UK Prospective Diabetes Study risk engine. Stroke, 33 (7), 1776-1781. (doi:10.1161/01.STR.0000020091.07144.C7).

Record type: Article

Abstract

Background and purpose: people with type 2 diabetes are at elevated risk of stroke compared with those without diabetes. Relative risks have been examined in earlier work, but there is no readily available method for predicting the absolute risk of stroke in a diabetic individual. We developed mathematical models to estimate the risk of a first stroke using data from 4549 newly diagnosed type 2 diabetic patients enrolled in the UK Prospective Diabetes Study. 

Methods: during 30 700 person-years of follow-up, 188 first strokes (52 fatal) occurred. Model fitting was carried out by maximum likelihood estimation using the Newton-Raphson method. Diagnostic plots were used to compare survival probabilities calculated by the model with those calculated using nonparametric methods. 

Results: variables included in the final model were duration of diabetes, age, sex, smoking, systolic blood pressure, total cholesterol to high-density lipoprotein cholesterol ratio and presence of atrial fibrillation. Not included in the model were body mass index, hemoglobin A1c, ethnicity, and ex-smoking status. The use of the model is illustrated with a hypothetical study power calculation.

Conclusions: this model forecasts the absolute risk of a first stroke in people with type 2 diabetes using variables readily available in routine clinical practice.

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More information

Accepted/In Press date: 3 April 2002
Published date: 1 July 2002
Keywords: Blood pressure, Cholesterol, Diabetes mellitus, Statistics, Stroke

Identifiers

Local EPrints ID: 487112
URI: http://eprints.soton.ac.uk/id/eprint/487112
ISSN: 0039-2499
PURE UUID: 073a0f71-366b-4bac-b364-365bc1bc2729
ORCID for Irene M. Stratton: ORCID iD orcid.org/0000-0003-1172-7865

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Date deposited: 14 Feb 2024 17:36
Last modified: 18 Mar 2024 04:01

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Contributors

Author: Viti Kothari
Author: Richard J. Stevens
Author: Amanda I. Adler
Author: Irene M. Stratton ORCID iD
Author: Susan E. Manley
Author: H. Andrew Neil
Author: Rudy R. Holman

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