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Nick A Roper a Diabetes Care Centre, Middlesbrough General Hospital,
Middlesbrough TS5 5AZ, b School of Clinical Medical Sciences, University of Newcastle,
Newcastle upon Tyne NE2 4HH, c Departments of Diabetes and Epidemiology
and Public Health, University of Newcastle, Newcastle upon Tyne NE2 4HH
Correspondence to: N A Roper n.a.roper{at}ncl.ac.uk
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Abstract |
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Objectives:
To establish the age and sex specific
mortality for people with diabetes in comparison with local and
national background populations; to investigate the relationship
between mortality and material deprivation in an unselected population with diabetes.
Design:
Longitudinal study, using a population
based district diabetes register.
Setting:
South Tees, United Kingdom.
Participants:
All people known to have diabetes
living in Middlesbrough and Redcar and Cleveland local authorities on 1 January 1994.
Main outcome measure:
Death, from any cause,
between 1 January 1994 and 31 December 1999.
Results:
Over the six years of the study 1205 (24.9%) of 4842 participants died. All cause standardised mortality
ratios for type 1 diabetes were 641 (95% confidence interval 406 to
962) in women and 294 (200 to 418) in men, and those for type 2 diabetes were 160 (147 to 174) in women and 141 (130 to 152) in men.
Cause specific standardised mortality ratios were increased for
ischaemic heart disease, cerebrovascular disease, and renal disease; no reductions in mortality from other causes were seen. The risk of
premature death increased significantly with increasing material deprivation (P<0.001).
Conclusions:
Diabetes is associated with excess
mortality, even in an area with high background death rates from
cardiovascular disease. This excess mortality is evident in all age
groups, most pronounced in young people with type 1 diabetes, and
exacerbated by material deprivation. Aggressive approaches to the
management of cardiovascular risk factors could reduce the excess
mortality in people with diabetes.
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What is already known on this topic
What this study adds
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Introduction |
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Diabetes mellitus is known to be underreported on death certificates and hence underestimated by national mortality statistics. 1 2 People with diabetes have been shown to have higher mortality than people without diabetes, but mortality varies depending on the location and the specific group studied.1-4 Mortality studies of unselected populations with diabetes have been performed in North America and Scandinavia. 2 3 However, there is a paucity of British data referring to unselected populations and none from the north of England, an area with high mortality partly owing to higher levels of material deprivation.5 British studies of people with diabetes have shown increasing exposure to cardiovascular risk factors with worsening material deprivation,6-8 and data from people aged over 75 in the United Kingdom are unclear with regard to excess mortality and its possible causes. 1 9 10
Our study compared the mortality in people with known diabetes living
in South Tees with the mortality of the population of England and Wales
and the local population without diabetes. It also examined the
relation between mortality and material deprivation in the population
with diabetes.
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Methods |
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The area administered by Middlesbrough and Redcar and Cleveland local authorities, referred to here as South Tees, had a population of 290 000 in 1994. This area has high unemployment, and mortality is above the national average.11 Migration rates in the area are low: during the study less than 3% of the cohort registered outside Tees Health Authority.
Participants
The cohort was derived from the South Tees district diabetes
register and comprised all diabetic patients with an address in South
Tees who were alive on 1 January 1994. The diabetes register is
maintained by full time staff and contains demographic and clinical
data on all people known to have diabetes. Data are collected
prospectively from the adult and paediatric secondary care diabetes
services, all primary care centres within the district, and the
diabetes eye service. South Tees ethical committee granted approval for
the study.
Death registration
All participants were registered by the Office for National
Statistics, and the date of death, causes of death, and underlying
cause of death were obtained from death certificates for deaths
occurring between 1 January 1994 and 31 December 1999 inclusive. The
inconsistent inclusion of diabetes on death certificates creates
problems when the underlying causes of death in groups with and without
diabetes are compared. To correct for this a second underlying code for
cause of death was derived in all cases where the underlying cause of
death was diabetes
ICD-9 (international classification of disease,
ninth revision) code 250
by removing diabetes from the list of
causes and recoding the underlying cause of death using ICD-9 rules.
Diabetes remained the underlying cause of death if it was the only
listed cause or if the immediate cause of death was a short term
metabolic complication, such as hypoglycaemia or ketoacidosis.
Comparison populations
Most studies of mortality related to diabetes use whole population
data as the comparator, despite the fact that these data include people
with diabetes, leading to bias in the estimated effect. This bias can
be considerable when the prevalence of diabetes is high or the
standardised mortality ratio is large.12 Using local data
and removing people known to have diabetes from the comparison group
should minimise this bias.
Material deprivation
Postcodes were used to allocate each participant to a 1991 census
enumeration district, and a Townsend score was generated for each
district as a measure of material deprivation.13 Participants were then grouped into fifths by their score.
Analysis
Mortality was compared by using standardised mortality ratios,
with both the local and national populations described above as
reference populations. Calculation of confidence intervals for
standardised mortality ratios was based on the assumption that the
observed number of deaths is the mean of a Poisson distribution, upper
and lower 95% limits for which can be obtained from published tables.14 Dividing these limits by the expected number of
deaths and multiplying by 100 produces 95% confidence intervals for
the standardised mortality ratio. Similarly, 95% confidence intervals for death rates standardised for age were estimated by using the formula
observed number of deaths).
Division by the death rate in the reference population produced the
corresponding confidence intervals for the relative rates. The
hypothesis that the risk of dying during the study increased with
worsening material deprivation was tested by using
2 for linear trend across the Townsend fifths.
A life table approach, based on published Office for National
Statistics data,
15 16
was used to model the average life expectancy subject to either the death rates in the study for people
with type 2 diabetes or the average death rates of England and Wales
between 1994 and 1997. The reduction in life expectancy is then the
life expectancy calculated using the national death rates minus the
life expectancy calculated using the death rates for people with diabetes.
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Results |
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The cohort comprised 4842 people, giving 25 610 person years of
follow up. Table 1 gives demographic information. Only 22 subjects
(0.45%) could not be traced. Overall, 1205 participants died
(24.9%)
659 men (24.6%) and 546 women (25.2%). Diabetes was certified as the underlying cause of death for 9.4% of men and 11.9%
of women and was mentioned on the death certificates of 45.4% of men
and 50.6% of women.
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The data for all cause mortality (table 2) showed excess deaths in patients with type 1 and type 2 diabetes in both sexes at all ages. Without exception, the excess was higher in comparison with the national population than with the local population without diabetes, reflecting the higher than national mortality in South Tees.11
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This cohort had significant excess mortality from cardiovascular disease, ischaemic heart disease, cerebrovascular disease, and renal disease, but mortality from neoplasia, respiratory disease, or accidents and poisonings was not reduced (table 3). The risk of death during the study in the most affluent fifth with diabetes is in excess of that in the local population without diabetes (table 4), and the risk rises significantly with worsening material deprivation.
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The life table analyses (figure) show that, potentially, the life
expectancy of both men and women diagnosed as having type 2 diabetes at
age 40 is reduced by eight years relative to people without diabetes.
For those whose diagnosis was made after the age of 50, women can
expect to lose more years than men, although the difference begins to
narrow over the age of 70. If the mortality of those aged under 80 had
been at national rates then 430 of the 1205 deaths would have been
avoided during the six years studied.
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Discussion |
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This study shows an excess mortality associated with diabetes, even in an area with high background death rates from cardiovascular disease. This excess mortality is evident in all age groups, is most pronounced in young people with type 1 diabetes, and is exacerbated by material deprivation.
The large number of people studied, the almost complete follow up, and the linkage to Office for National Statistics records enabled us to draw conclusions with confidence. Use of the local population without diabetes as the comparison group minimised bias in the estimates of relative mortality, and the observed differences between local and national comparisons emphasised the importance of using local data for comparisons where possible. We believe that our method of recoding the cause of death allowed for more meaningful comparisons of cause specific mortality between the groups with and without diabetes.
Owing to the methods used to collate the register it was not possible to perform capture-recapture analysis to estimate ascertainment, but we are confident that the data collection methods will have included most of the local population known to have diabetes and that no particular groups have been systematically excluded. Our prevalence data (table 1) are comparable to previously reported prevalences of between 1% and 1.71% in the United Kingdom. 4 9 17 The definitions of type of diabetes used are based on epidemiological rather than clinical criteria but are similar to those used in previous studies and are therefore suitable for comparison. 17 18 The relatively small number of deaths in people aged under 40 result in wide confidence intervals in some subgroups. The estimated standardised mortality ratios are, however, similar to previous estimates from the United States and are higher than recent British estimates derived from selected groups. 19 20 The national comparison group includes people with diabetes in the reference population, which is a potential source of bias, and thus our results will underestimate any excess in mortality.
The deprivation analyses rely on assigning an index (the Townsend
score) at a group level (the enumeration district) and applying this to
individuals, assuming that all people in the group have similar
deprivation levels
an example of the "ecological fallacy." However, the methodology is well established,6-8 and bias
from misclassification between deprivation fifths would be likely to mask any observed differences.
We believe that our study provides accurate and comprehensive data on
the excess mortality associated with diabetes in the United Kingdom,
which extends and updates previous data that mainly relate to primary
care,4 secondary care,
9 21
or patients treated with insulin.
1 21
The study also shows that
excess mortality exists even against a background of high levels of
material deprivation and high mortality. Moreover, the most
affluent fifth with diabetes still had a higher mortality than the
local population without diabetes, and this excess mortality rises
progressively with worsening material deprivation. These data extend
the previous British data on the impact of socioeconomic factors on
mortality related to diabetes, which described only patients treated in hospital or selected middle aged patients.
22 23
The
excess mortality extends even to those aged 80 and over, and the
observed increased death rate from cardiovascular causes in all ages is not compensated for by a reduction in other major causes of death.
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Conclusions |
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In 1990 the St Vincent declaration recommended targets for care of patients with diabetes, including the general goal of "a life approaching normal expectation in quality and quantity."24 Unfortunately, the results from this study show that we are still far from this ideal.
The main cause of death in our cohort with diabetes was ischaemic heart disease. The national service framework for coronary heart disease has set national targets and standards for the prevention and treatment of coronary heart disease.25 The forthcoming national service framework for diabetes will provide a further opportunity to reduce the risk of premature death in our patients. We believe that our data will help to inform this process and that they underline the importance of material deprivation. Aggressive approaches to the management of cardiovascular risk factors could reduce the excess mortality in people with diabetes.
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Acknowledgments |
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We thank Clare Eynon, research and information officer at Tees Health, for providing local population and mortality data; Keith Elliott, principal information officer at Tees Valley Joint Strategy Unit, for providing the Townsend score data; Pam Sherriff, Elaine Hall, Dan Bowes, and all the other staff at the Diabetes Centre for collating and maintaining the diabetes register, and all the clinical staff in primary and secondary care without whose cooperation the diabetes register would not be viable.
Contributors: VMC, WFK, and NCU had the original idea for the study and set up the initial cohort tagging. The study design was adapted and developed in collaboration with NAR and RWB. NAR performed the main data collection and drafted the paper. NAR, VMC, and NCU performed the data analysis. All the authors contributed to the review and writing of the paper. NAR and VMC will act as guarantors of the paper.
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Footnotes |
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Funding: The original cohort tagging was funded by a grant from Diabetes UK, formerly the British Diabetic Association. NAR is funded by the NHS Executive, Northern and Yorkshire Region.
Competing interests: None declared.
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References |
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(Accepted 8 March 2001)
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