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Research article:

Glucose, blood pressure and cholesterol levels and their relationships to clinical outcomes in type 2 diabetes: a retrospective cohort study

Reference:

Evangelos Kontopantelis, David A Springate, David Reeves, Darren M Ashcroft, Martin Rutter, Iain Buchan, Tim Doran(2015) Glucose, blood pressure and cholesterol levels and their relationships to clinical outcomes in type 2 diabetes: a retrospective cohort study. Diabetologia, doi: 10.1007/s00125-014-3473-8

Link to fulltext article
Abstract
Background: Observational data have been used to inform target levels for modifiable risk factors in type 2 diabetes but these data are limited by confounding. We aimed to describe the shape of observed relationships between risk factor levels and clinically important outcomes in type 2 diabetes after adjusting for multiple confounders. Methods: We used retrospective longitudinal data on 246,544 adults with type 2 diabetes from 600 practices contributing to the Clinical Practice Research Datalink between 2006 and 2012. Proportional hazards regression models quantified the risks of mortality, microvascular or macrovascular events associated with four modifiable risk factors: glycated haemoglobin (HbA1c), systolic and diastolic blood pressure and total cholesterol, while controlling for numerous patient and practice covariates. Findings: U-shaped relationships were observed between all-cause mortality and levels of the four risk factors. The lowest risks were associated with HbA1c 7.25-7.75%; total cholesterol 3.5-4.5 mmol/L; systolic blood pressure 135-145 mmHg; and diastolic blood pressure 82.5-87.5 mmHg. coronary and stroke mortality related to the four risk factors in a positive, curvilinear way, with the exception of blood pressure which related to coronary deaths in a U-shape. Macrovascular events showed a positive and curvilinear relationship with HbA1c but U-shaped for total cholesterol and systolic blood pressure. Microvascular related to the four risk factors in a curvilinear way: positive for HbA1c and systolic blood pressure but negative for cholesterol and diastolic blood pressure. Interpretation: We identified several relationships which, when considered in the light of relevant trial data, support a call for major changes to clinical practice. Most importantly, our results support trial data indicating that normalisation of glucose and blood pressure can lead to poorer outcomes, which makes a strong case for target ranges for these risk factors rather than target levels.
Author for correspondence
Evangelos Kontopantelis
Email for correspondence
E.Kontopantelis@manchester.ac.uk

Code list: Micro-albuminuria_testing

15 codes in list

Code Coding system Description Entity type List name
467A.00 Read 24 hour urine protein output test Micro-albuminuria_testing
467E.00 Read Urine protein level test Micro-albuminuria_testing
467H.00 Read Random urine protein level test Micro-albuminuria_testing
46N3.00 Read Urine total protein test Micro-albuminuria_testing
46N4.00 Read Urine albumin test Micro-albuminuria_testing
46N5.00 Read 24 hour urine protein excretion test test Micro-albuminuria_testing
46N6.00 Read 24 hour urine albumin output test Micro-albuminuria_testing
46N7.00 Read Urine protein/creatinine index test Micro-albuminuria_testing
46TC.00 Read Urine albumin:creatinine ratio test Micro-albuminuria_testing
46TD.00 Read Urine microalbumin:creatinine ratio test Micro-albuminuria_testing
46W..00 Read Urine microalbumin test Micro-albuminuria_testing
46w0.00 Read Urine microalbumin positive test Micro-albuminuria_testing
46W0.00 Read Urine microalbumin positive test Micro-albuminuria_testing
46W1.00 Read Urine microalbumin negative test Micro-albuminuria_testing
46W2.00 Read Microalbumin excretion rate test Micro-albuminuria_testing

1 comment has been posted.

Jan. 27, 2014, 6:35 a.m. - David Springate

QOF indicator DM 13

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