Jump to: Page Content, Site Navigation, Site Search,
You are seeing this message because your web browser does not support basic web standards. Find out more about why this message is appearing and what you can do to make your experience on this site better.
Stuart J Pocock a Department of
Epidemiology and Population Health, London School of Hygiene and
Tropical Medicine, London WC1E 7HT, b Service de Pharmacologie Clinique, Faculté RTH Laennec, BP
8071-69376, Lyon Cedex 08, France, c Hypertension and Cardiovascular
Rehabilitation Unit, University of Leuven, UZ Gasthuisberg, B-3000
Leuven, Belgium
Correspondence to: S J Pocock stuart.pocock{at}lshtm.ac.uk
| |
Abstract |
|---|
|
|
|---|
Objective:
To create a risk score for death from
cardiovascular disease that can be easily used.
Design:
Data from eight randomised controlled trials of antihypertensive treatment.
Setting:
Europe and North America.
Participants:
47 088 men and women from trials that
had differing age ranges and differing eligibility criteria for blood pressure.
Main outcome measure:
1639 deaths from cardiovascular
causes during a mean 5.2 years of follow up.
Results:
Baseline factors were related to risk of
death from cardiovascular disease using a multivariate Cox model,
adjusting for trial and treatment group (active versus control). A risk score was developed from 11 factors: age, sex, systolic blood pressure,
serum total cholesterol concentration, height, serum creatinine
concentration, cigarette smoking, diabetes, left ventricular hypertrophy, history of stroke, and history of myocardial infarction. The risk score is an integer, with points added for each factor according to its association with risk. Smoking contributed more in
women and in younger age groups. In women total cholesterol concentration mattered less than in men, whereas diabetes had more of
an effect. Antihypertensive treatment reduced the score. The five year
risk of death from cardiovascular disease for scores of 10, 20, 30, 40, 50, and 60 was 0.1%, 0.3%, 0.8%, 2.3%, 6.1%, and 15.6%,
respectively. Age and sex distributions of the score from the two UK
trials enabled individual risk assessment to be age and sex specific.
Risk prediction models are also presented for fatal coronary heart
disease, fatal stroke, and all cause mortality.
Conclusion:
The risk score is an objective aid to
assessing an individual's risk of cardiovascular disease, including
stroke and coronary heart disease. It is useful for physicians when
determining an individual's need for antihypertensive treatment and
other management strategies for cardiovascular risk.
|
What is already known on this topic
What this study adds
|
| |
Introduction |
|---|
|
|
|---|
The management of patients with hypertension often focuses on drugs and other means of controlling blood pressure without adequate regard to their overall risk of morbidity and mortality from cardiovascular disease. The goal of treatment is to reduce the risk of stroke and heart disease and to prevent premature death. Hence a range of personal factors should be considered in assessing a patient's overall cardiovascular risk. A recent inquiry emphasised the benefits of using charts or scores for cardiovascular risk in getting treatment decisions made alongside realistic estimates of patient susceptibility to cardiovascular disease.1
Other scoring methods already exist for assessing
risk,2-9 but ours has several particularly useful
features: it focuses on patients with raised blood pressure, and it
assesses an individual's overall risk for all cardiovascular
diseases, including stroke, rather than just coronary heart disease.
Although the guidelines from the World Health Organization and
International Society of Hypertension usefully classify hypertensive
patients from low risk to very high risk of cardiovascular
disease,10 we present a more quantitative and
discriminating risk score based on the mortality among participants in
eight randomised controlled trials of antihypertensive treatment. We
aimed to enable the calculation of risk of cardiovascular death within
five years from a few personal factors.
| |
Participants and methods |
|---|
|
|
|---|
The individual data analysis of antihypertensive intervention trials (INDANA) database includes all the major randomised trials of antihypertensive drugs versus placebo or no intervention for which individual patient data were available in 1995. 11 12 After exhaustive literature searches and personal inquiries we are confident that all such major trials are included. Here we assess data from all eight trials with results on mortality by intention to treat, totalling 47 008 participants of whom 3001 died (1639 from cardiovascular causes) during a mean 5.2 years of follow up (table 1).13-20 The trials had differing eligibility criteria, and for the multiple risk factor intervention trial we focus only on the subset of participants with raised blood pressure.
|
Sixteen baseline factors were available in all datasets and had a priori plausibility as risk factors: age, sex, height, body mass index, current cigarette smoking, systolic and diastolic blood pressure, heart rate, concentrations of serum total cholesterol, serum creatinine and serum uric acid, previous myocardial infarction, previous stroke, diabetes, left ventricular hypertrophy detected by electrocardiography, and treatment group.
We fitted a multivariate Cox proportional hazards model, stratified by trial, for all 16 risk factors simultaneously, with cardiovascular death as outcome. We excluded body mass index, diastolic blood pressure, heart rate, and uric acid concentration, which were non-significant predictors. Systolic blood pressure was a stronger predictor than pulse pressure. For the remaining 12 factors we investigated possible statistical interactions in risk prediction. Thus we determined a final Cox model based on 1639 cardiovascular deaths in 47 088 participants with 12 risk factors and five interactions. No interactions with treatment group were strong enough to merit inclusion, and separate analyses for each trial broadly agreed with the overall model. We found no departures from linearity for quantitative risk factors.
We converted the Cox model predictor to an integer score.
Briefly, the score is directly related to an individual's
probability of death from cardiovascular disease within five years.
This requires a reference sample from one country, and for this purpose
we chose the 20 941 participants in the two UK Medical Research
Council trials. We also wanted a zero score for an adult at very low
risk
that is, a woman aged 35-39 with the healthiest category of each
risk factor. Having grouped each factor into convenient intervals, such
as every 10 mm Hg for systolic blood pressure, an individual's score
increases by an integer amount for each risk factor level above the
lowest risk category. Each integer amount is a rounding of the exact
figure obtained from the proportional hazards model, so that the risk
score is a simple addition of whole numbers. The estimated probability
of death from cardiovascular disease within five years is equal to
1
0.99958exp (0.1 × risk score).
| |
Results |
|---|
|
|
|---|
The risk score
Figure 1 presents the risk score for both men and women. Age is a
particularly strong risk factor
a woman aged 60-64 has 23 extra
points compared with a woman aged 35-39. Sex is also important, with
men having 12 extra points. The gradient for risk according to age is
slightly less noticeable for men
those aged 60-64 have 18 extra points
(18+12=30 points). Cigarette smoking scores more points in women and at
younger ages
for example, a female smoker aged 35-39 has 13 extra
points compared with just 4 extra points for a male smoker aged
70-74.
|
for a cholesterol concentration of 6.0-6.9 mmol/l women should
be given 1 extra point and men 4 extra points. Short stature and a
raised serum creatinine concentration also contribute to the score.
With a history of myocardial infarction, history of stroke, and left
ventricular hypertrophy 8, 8, and 3 points should be added,
respectively. Diabetes contributes more to risk in women than it does
in men: 9 points should be added for women and 2 points for men.
Because this score is derived from controlled trials of hypertension,
the effect of treatment can be measured: a reduction of 2 points if
antihypertensive drugs are started. For any individual, points scored
for each risk factor are added together to produce the total risk score.
The chance of dying from cardiovascular disease
Figure 2 shows the exponential relation between the risk
score and the probability of dying from cardiovascular disease in
five years. Rates of cardiovascular death vary between trials and
between communities in ways not fully explained by known risk factors.
The curve in figure 2 relates to a British population, being based
on cardiovascular death rates for participants in the two MRC
trials.
15 16
The risk score itself, however, is derived
from data on all participants in all eight trials.
typical for a woman aged 35-39
has a
five year risk of 0.11%; a score of 25, typical for men aged 35-39, 0.51%; and a score of 35, not unusual for women aged 60-64 or men aged
50-54, 1.4%. A typical score for 10 years older is 45, with a five
year risk of 3.7%. A score of 55 indicates a 10% risk of
cardiovascular death in five years, not uncommon for men aged 70-74, and a score of 65 indicates a 25% risk, achieved in a few elderly men only.
Risk score by age and sex
Figure 3 shows the noticeable influence of age and sex on the
risk score for the 20 941 participants in the two MRC trials. In
general, the median age specific score for a man is similar to the
median score for a woman 10 years older. Age affects risk: the median
age specific score for a man corresponds to the score of a man at high
risk who is 10 years younger and the score of a man at very low risk
who is 10 years older. A score of 45, typical for a man aged 60-64, is
achieved or exceeded by only 6% of men aged 50-54 but is exceeded by
virtually all men aged 70-74; 45 is also the upper 90% point for women
aged 60-64 and is achieved by no woman aged 50-54.
for example, lipid lowering, smoking cessation, continued
monitoring, or lowering of blood pressure.
A female non-smoker aged 52 (0, 0, and 14 points) has a systolic blood
pressure of 165 mm Hg (5 points), a total cholesterol concentration of
5.2 mmol/l (0 points), a creatinine concentration of 85 µmol/l (2 points), no history of disease (0 points), and is 1.63 metres tall (3 points). Her risk score is 24 points. Her risk of cardiovascular death
in five years is 0.5% (fig 2), low for her age (around the 20% point
in figure 3). Despite her moderately raised blood pressure the risk
score identifies her overall cardiovascular risk as low. This helps
to balance the benefit of continued blood pressure monitoring against
that of starting antihypertensive drugs.
The risk factors
The list of risk factors chosen is not surprising, although their
distributions vary between populations. Table 2 shows the
distributions of risk factors for our subjects. Eligibility criteria
differed between trials: one studied isolated systolic hypertension,19 whereas others primarily had an inclusion
criterion for diastolic pressure. Hence the distribution of systolic
blood pressure covers a wide range. The MRC trials excluded patients with previous stroke. Five trials were in elderly
patients.
13 14 17 19 20
The distributions of
cholesterol and creatinine concentrations and height are representative
of developed countries in the West. The prevalence of diabetes is low,
and it is an exclusion criterion in the MRC
trials.
|
|
|
Stroke, coronary heart disease, and all cause mortality
Separate predictions of stroke, coronary heart disease, and death
from any cause are also relevant. Table 3 presents the results
from the Cox model that led to the risk score for cardiovascular death,
and also corresponding results for fatal coronary disease, fatal
stroke, and all cause mortality.
|
| |
Discussion |
|---|
|
|
|---|
The risk score developed by us is unique in being based on a large cohort of adults with moderately raised blood pressure, both treated and not treated with antihypertensive drugs, including both European and North American populations, and covering a wide age range. Thus the score has wide applicability in general practices and hypertension clinics, providing a simple means of quantifying a patient's risk of cardiovascular disease based on what should be routinely available information. The focus on overall cardiovascular risk, both of stroke and of coronary disease, ensures that a patient's overall wellbeing, including management of other cardiovascular risk factors such as smoking and lipid lowering, gets sufficient attention, keeping control of blood pressure and antihypertensive drug treatment in proper perspective.
The score is derived from people with blood pressure sufficiently raised to be included in a trial. However, the trials' differing eligibility criteria result in a wide spread of baseline blood pressures. Thus the score may be used in the general population, not just in people meeting specific criteria for hypertension. The score takes into account systolic but not diastolic blood pressure, because diastolic blood pressure does not independently predict cardiovascular risk. 21 22
Mortality from cardiovascular disease varies between countries,23which affects the generalisability of any risk score internationally. Although our data cover many developed countries, the problem remains of how to make a risk score specific to a country. Our solution has been to first obtain the most precisely estimated risk score from the whole sample of trials, but then focus on mortality in two UK trials when calculating the risk of cardiovascular disease for any individual. 16 17 Because the relative importance of risk factors remains similar in most developed countries, the main complication concerns differences in mortality from cardiovascular disease between countries. For instance, the United States and United Kingdom have rather similar death rates for cardiovascular disease, making the score readily applicable to the United States. In France the rates are much lower, so if the man in the example above were French his risk of cardiovascular death within five years would be substantially less than the calculated 19%. Also, within countries there are social and geographical inequalities and secular trends in cardiovascular disease, so any assessment of risk should take account of these less quantifiable influences on health.
Assessing individual risk
Individual risk assessment should be age and sex specific
(fig 3). Risk of death from cardiovascular disease varies
noticeably by age and sex (for example, the man aged 65 at lowest risk
is at higher risk than the woman aged 50 at highest risk), and risk
management strategies need to recognise this. It would be useful to
obtain age and sex specific distributions of our risk score for
representative samples of individuals from other countries.
for example, an extra 2 points for creatinine
concentration
and optimistically scoring 0 for any binary
factor. However, effective health screening should avoid having data missing.
The integer score simplifies the precise Cox model for death from
cardiovascular disease in table 2 although the correlation between
the integer score and the Cox model linear predictor is high
(r=0.98). Routine use of the risk score by busy physicians and others may be done by accessing www.riskscore.org.uk. Keying in the
11 items provides the score, the probability of death from cardiovascular disease within five years, and the individual's risk
level compared with others of the same age and sex.
Components of risk score
The risk score includes 11 risk factors for coronary heart disease
and stroke. Age, sex, and cigarette smoking are the strongest
predictors. The sex difference narrows with age, and the impact of
smoking is more noticeable in women and at younger ages. Serum total
cholesterol concentration and systolic blood pressure have similar
predictive strength in men, but cholesterol concentration is less
important for women because their risk of coronary disease is much
lower. Raised creatinine concentration24 and short
stature25 are both established highly significant risk
factors for coronary disease and stroke, and although not present in
previous risk scores should be included here. Diabetes is a more
noticeable predictor of cardiovascular disease in women than it is in
men,26 and history of stroke, myocardial infarction, and
left ventricular hypertrophy are obvious factors to include. Other risk
factors, such as more detailed assessment of blood lipids (for example,
high density lipoprotein cholesterol and triglycerides) or presence of
angina or intermittent claudication, could in principle be included but
were not available in all our trials, and there is a danger of making
risk scores too detailed and complicated.
that is, in a
meta-analysis the relative risk reduction for death from cardiovascular disease is 15.3% (95% confidence interval 6.6% to
23.2%). This impact of treatment is more noticeable for death from
stroke than it is for death from coronary disease (relative risk
reduction 36.6% and 11.0%, respectively). However, some patients in
untreated control groups subsequently started antihypertensive treatment, so that these estimates compare immediate treatment with a
wait and see policy. Nevertheless, the risk score shows that an
individual's overall risk of cardiovascular disease is multifaceted,
and lowering blood pressure by drugs (a mean treatment difference in
these trials of 12.8 mm Hg for systolic blood pressure and 5.8 mm Hg
for diastolic blood pressure after one year) is just one aspect of
patient management.
The risk score is a more quantitative complement to the guidelines from
the WHO and International Society of Hypertension.10 They
classify patients simply into four categories (low, medium, high, and
very high risk) on the basis of blood pressure, several binary risk
factors, and pre-existing disease, but use less information (age is
simply above or below 55) and emphasise blood pressure more.
Nevertheless the simplicity of the risk score enables a rapid
preliminary assessment of risk.
Risk scores already exist from Framingham, the British regional heart
study, Dundee, and the prospective cardiovascular Munster study,
but each has its limitations.
2 3 6-9
All were developed from just one country, and only Framingham has combined risks of stroke
and coronary disease into an overall assessment of cardiovascular risk.
Basing a risk score on patients in the major randomised controlled
trials of antihypertensive drugs is helpful. The cohort is large and
has good follow up, so precision of risk estimates is considerably
better than it is in other studies. The trials took place in several
different countries, enhancing international representation. People
were recruited because their blood pressure justified randomisation to
active treatment or control, making the score especially relevant to
the clinician-patient dialogue over whether to start antihypertensive
treatment alongside other management strategies for cardiovascular
disease. Trial participants are not representative of the general
population, but the risk score may nevertheless be of more widespread
use for screening in primary health care not necessarily motivated by
raised blood pressure.
| |
Acknowledgments |
|---|
We thank John Coope, Jeffrey Cutler, Tord Ekbom, Larry Friedman, Karla Kerlikowski, Mitchell Perry, Ronald Princess, and Eleaner Schron (members of the INDANA steering committee) for helpful comments.
Contributors: All authors contributed to developing the risk score and writing the paper. SJP initiated the project and was principal writer of the paper. VMcC performed all statistical analyses. FG, FB, and J-PB were instrumental in forming the INDANA database. RHF provided expertise in hypertension and risk factors. SJP will act as guarantor for the paper.
| |
Footnotes |
|---|
Funding: This research was supported by EC-Biomed 2 programme (contract number BMH4-CT 983291).
Competing interests: None declared.
| |
References |
|---|
|
|
|---|
| 1. | Montgomery AA, Fahey T, Mackintosh C, Sharp DJ, Peters TJ. Estimation of cardiovascular risk in hypertensive patients in primary care. Br J Gen Practice 2000; 50: 127-128[Medline]. |
| 2. | Anderson KM, Odell PM, Wilson PW, Kannel WB. Cardiovascular disease risk profiles. Am Heart J 1991; 121: 293-298[CrossRef][Medline]. |
| 3. | D'Agostino RB, Russell MW, Huse DM, Ellison RC, Silbershatz H, Wilson PWF, et al. Primary and subsequent coronary risk appraisal: new results from the Framingham Study. Am Heart J 2000; 139: 272-281[Medline]. |
| 4. | Menotti A, Keys A, Blackburn H, Kromhout D, Karvonen M, Nissinen A. Comparison of multivariate predictive power of major risk factors for coronary heart diseases in different countries: results from eight nations of the seven countries study, 25 years of follow-up. J Cardiovascular Risk 1995; 3: 69-75. |
| 5. | Pooling Project Research Group. Relationship of blood pressure, serum cholesterol, smoking habit, relative weight and ECG abnormalities to incidence of major coronary events: final report of the pooling project. J Chronic Dis 1978; 31: 201-306[CrossRef][Medline]. |
| 6. | Shaper AG, Pocock SJ, Phillips AN, Walker M. Identifying men at high risk of heart attacks: strategy for use in general practice. BMJ 1986; 293: 474-479. |
| 7. | Coppola WGT, Whincup PH, Papacosta O, Walker M, Ebraham S. Scoring system to identify men at high risk of stroke: a strategy for general practice. Br J Gen Practice 1995; 45: 185-189[Medline]. |
| 8. | Tunstall-Pedoe H. The Dundee coronary risk-disk for management of change in risk factors. BMJ 1991; 303: 744-747. |
| 9. | Cullen P, von Eckardstein A, Assmann G. Diagnosis and management of new cardiovascular risk factors. Eur Heart J 1998; 19 (suppl O): S13-S19. |
| 10. | Guidelines subcommittee. 1999 World Health Organization-International Society of Hypertension guidelines for the management of hypertension. J Hypertens 1999; 17: 151-183[Medline]. |
| 11. | Gueyffier F, Boutitie F, Boissel JP, Coope J, Cutler J, Ekbom T, et al. INDANA: a meta-analysis on individual patient data in hypertension. Protocol and preliminary results. Thérapie 1995; 50: 353-362. |
| 12. |
Gueyffier F, Boutitie F, Boissel J-P, Pocock S, Coope J, Cutler J, et al.
Effect of antihypertensive drug treatment on cardiovascular outcomes in women and men.
Ann Intern Med
1997;
126:
761-767 |
| 13. | Coope J, Warrender TS. Randomised trial of treatment of hypertension in elderly patients in primary care. BMJ 1986; 293: 1145-1151. |
| 14. | Amery A, Birkenhäger W, Brixko P, Bulpitt C, Clément D, Deruyttere M, et al. Mortality and morbidity results from the European working party on high blood pressure in the elderly trial. Lancet 1985; i: 1349-1354. |
| 15. | Hypertension Detection and Follow-up Program Cooperative Group. Five-year findings of the hypertension detection and follow-up program. I. Reduction in mortality of persons with high blood pressure, including mild hypertension. JAMA 1979; 242: 2562-2571[Abstract]. |
| 16. | Medical Research Council Working Party. MRC trial of treatment of mild hypertension: principal results. BMJ 1985; 291: 97-104. |
| 17. | MRC Working Party. Medical Research Council trial of treatment of hypertension in older adults: principal results. BMJ 1992; 304: 405-412. |
| 18. | Multiple Risk Factor Intervention Trial Research Group. Multiple risk factor intervention trial: risk factor changes and mortality results. JAMA 1982; 248: 1465-1477[Abstract]. |
| 19. | SHEP Cooperative Research Group. Prevention of stroke by antihypertensive drug treatment in older persons with isolated systolic hypertension: final results of the systolic hypertension in the elderly program (SHEP). JAMA 1991; 265: 3255-3264[Abstract]. |
| 20. | Dalhöf B, Lindholm L, Hansson L, Shersten B, Ekbom T, Wester PO. Morbidity and mortality in the Swedish trial in old patients with hypertension (STOP-Hypertension). Lancet 1991; 338: 1281-1285[CrossRef][Medline]. |
| 21. | Kannel WB. Historic perspectives on the relative contributions of diastolic and systolic blood pressure elevation to cardiovascular risk profile. Am Heart J 1999; 138: 205-210[CrossRef][Medline]. |
| 22. | Shaper AG, Phillips AN, Pocock SJ, Walker M, Macfarlane PW. Risk factors for stroke in middle aged British men. BMJ 1991; 302: 1111-1115. |
| 23. | World Health Organization. World health statistics annual 1998. Geneva: WHO, 1998. |
| 24. |
Wannamethee SG, Shaper AG, Perry IJ.
Serum creatinine concentration and risk of cardiovascular disease.
Stroke
1997;
28:
557-563 |
| 25. |
Wannamethee SG, Shaper AG, Whincup PH, Walker M.
Adult height, stroke and coronary heart disease.
Am J Epidemiol
1998;
148:
1069-1076 |
| 26. | Kannel WB, McGee DL. Diabetes and cardiovascular disease: the Framingham study. JAMA 1979; 241: 2035-2038[Abstract]. |
(Accepted 10 April 2001)
Read all Rapid Responses
Israeli students are refusing to perform intimate examinations on anaesthetised women without their informed consent.