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Published in: BMC Public Health 1/2011

Open Access 01-12-2011 | Research article

Does present use of cardiovascular medication reflect elevated cardiovascular risk scores estimated ten years ago? A population based longitudinal observational study

Authors: Mette Brekke, Jørund Straand

Published in: BMC Public Health | Issue 1/2011

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Abstract

Background

It is desirable that those at highest risk of cardiovascular disease should have priority for preventive measures, eg. treatment with prescription drugs to modify their risk. We wanted to investigate to what extent present use of cardiovascular medication (CVM) correlates with cardiovascular risk estimated by three different risk scores (Framingham, SCORE and NORRISK) ten years ago.

Methods

Prospective logitudinal observational study of 20 252 participants in The Hordaland Health Study born 1950-57, not using CVM in 1997-99. Prescription data obtained from The Norwegian Prescription Database in 2008.

Results

26% of men and 22% of women aged 51-58 years had started to use some CVM during the previous decade. As a group, persons using CVM scored significantly higher on the risk algorithms Framingham, SCORE and NORRISK compared to those not treated. 16-20% of men and 20-22% of women with risk scores below the high-risk thresholds for the three risk scores were treated with CVM, while 60-65% of men and 25-45% of women with scores above the high-risk thresholds received no treatment. Among women using CVM, only 2.2% (NORRISK), 4.4% (SCORE) and 14.5% (Framingham) had risk scores above the high-risk values. Low education, poor self-reported general health, muscular pains, mental distress (in females only) and a family history of premature cardiovascular disease correlated with use of CVM. Elevated blood pressure was the single factor most strongly predictive of CVM treatment.

Conclusion

Prescription of CVM to middle-aged individuals by large seems to occur independently of estimated total cardiovascular risk, and this applies especially to females.
Literature
1.
go back to reference Anderson KM, Odell PM, Wilson PWF, Kannel WB: Cardiovascular disease risk profiles. Am Heart. 1991, 121: 293-298. 10.1016/0002-8703(91)90861-B.CrossRef Anderson KM, Odell PM, Wilson PWF, Kannel WB: Cardiovascular disease risk profiles. Am Heart. 1991, 121: 293-298. 10.1016/0002-8703(91)90861-B.CrossRef
2.
go back to reference Conroy R, Pyörälä K, Fitzgerald AP, Sans S, De Backer G, De Bacquer P, et al: Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project. Eur Heart J. 2003, 24: 987-1003. 10.1016/S0195-668X(03)00114-3.CrossRefPubMed Conroy R, Pyörälä K, Fitzgerald AP, Sans S, De Backer G, De Bacquer P, et al: Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project. Eur Heart J. 2003, 24: 987-1003. 10.1016/S0195-668X(03)00114-3.CrossRefPubMed
3.
go back to reference Selmer R, Lindman AS, Tverdal A, Pedersen JI, Njølstad I, Veierød MB: Model for estimating cardiovascular risk in Norway (English summary). Tidsskr Nor legeforen. 2008, 128: 286-290. Selmer R, Lindman AS, Tverdal A, Pedersen JI, Njølstad I, Veierød MB: Model for estimating cardiovascular risk in Norway (English summary). Tidsskr Nor legeforen. 2008, 128: 286-290.
4.
go back to reference Hippisley-Cox J, Coupland C, Vinogradova Y, Robson J, Minhas R, Sheikh A, et al: Predicting cardiovascular risk in England and Wales: prospective derivation and validation of QRISK2. BMJ. 2008, 336: a332-10.1136/bmj.39609.449676.25.CrossRef Hippisley-Cox J, Coupland C, Vinogradova Y, Robson J, Minhas R, Sheikh A, et al: Predicting cardiovascular risk in England and Wales: prospective derivation and validation of QRISK2. BMJ. 2008, 336: a332-10.1136/bmj.39609.449676.25.CrossRef
5.
6.
go back to reference Philips L, Emberson J, Lampe F, Walker M, Whincup P, Fahey T, et al: Clinical inertia. Ann Intern Med. 2001, 135: 825-834.CrossRef Philips L, Emberson J, Lampe F, Walker M, Whincup P, Fahey T, et al: Clinical inertia. Ann Intern Med. 2001, 135: 825-834.CrossRef
8.
go back to reference Furu K, Strøm H, Rønning M: The Norwegian Prescription Database (NorPD): new register for pharmacoepidemiological research covering a whole nation. Pharmacoepidemiol Drug Safety. 2005, 14: 48- Furu K, Strøm H, Rønning M: The Norwegian Prescription Database (NorPD): new register for pharmacoepidemiological research covering a whole nation. Pharmacoepidemiol Drug Safety. 2005, 14: 48-
9.
go back to reference Guidelines for ATC classification and DDD assignment. 1998, Oslo, Norway, WHO Collaborating Center for Drug Statistics Methodology Guidelines for ATC classification and DDD assignment. 1998, Oslo, Norway, WHO Collaborating Center for Drug Statistics Methodology
10.
go back to reference Hemingway H, Marmot M: Psychosocial factors in aetiology and prognosis of coronary hart disease: systematic review of prospective cohort studies. BMJ. 1999, 318: 1460-1467.CrossRefPubMedPubMedCentral Hemingway H, Marmot M: Psychosocial factors in aetiology and prognosis of coronary hart disease: systematic review of prospective cohort studies. BMJ. 1999, 318: 1460-1467.CrossRefPubMedPubMedCentral
11.
go back to reference Denollet J, Maas K, Knottnerus A, Keyzer JJ, Pop VJ: Anxiety predicted premature all-cause and cardiovascular death in a 10-year follow-up of middle-aged women. J Clin Epidemiol. 2009, 62: 452-456. 10.1016/j.jclinepi.2008.08.006.CrossRefPubMed Denollet J, Maas K, Knottnerus A, Keyzer JJ, Pop VJ: Anxiety predicted premature all-cause and cardiovascular death in a 10-year follow-up of middle-aged women. J Clin Epidemiol. 2009, 62: 452-456. 10.1016/j.jclinepi.2008.08.006.CrossRefPubMed
12.
go back to reference Rosengren A, Hawken S, Ounpuu KS, Zubaid M, Wael AA, Blackett KN, et al: Association of psychosocial risk factors with risk of acute myocardial infarction in 11 119 cases and 13 648 controls from 52 countries (the INTREHART study): case-control study. Lancet. 2004, 364: 953-962. 10.1016/S0140-6736(04)17019-0.CrossRefPubMed Rosengren A, Hawken S, Ounpuu KS, Zubaid M, Wael AA, Blackett KN, et al: Association of psychosocial risk factors with risk of acute myocardial infarction in 11 119 cases and 13 648 controls from 52 countries (the INTREHART study): case-control study. Lancet. 2004, 364: 953-962. 10.1016/S0140-6736(04)17019-0.CrossRefPubMed
13.
go back to reference Puustinen PJ, Koponen H, Kautainen H, Mäntyselka P, Vanhala M: Gender-specific association of psychological distress with cardiovascular risk scores. Scand J Prim Health Care. 2010, 28: 36-40. 10.3109/02813431003648131.CrossRefPubMedPubMedCentral Puustinen PJ, Koponen H, Kautainen H, Mäntyselka P, Vanhala M: Gender-specific association of psychological distress with cardiovascular risk scores. Scand J Prim Health Care. 2010, 28: 36-40. 10.3109/02813431003648131.CrossRefPubMedPubMedCentral
14.
go back to reference Franks P, tancredi DJ, Winters P, Fiscella K: Including socioeconomic status in coronary heart disease risk estimation. Ann Fam Med. 2010, 8: 447-453. 10.1370/afm.1167.CrossRefPubMedPubMedCentral Franks P, tancredi DJ, Winters P, Fiscella K: Including socioeconomic status in coronary heart disease risk estimation. Ann Fam Med. 2010, 8: 447-453. 10.1370/afm.1167.CrossRefPubMedPubMedCentral
15.
go back to reference Tzoulaki I, Liberopoulos G, Ioannidis JP: Assessment of claims of improved prediction beyond the Framingham risk score. JAMA. 2009, 302: 2345-2352. 10.1001/jama.2009.1757.CrossRefPubMed Tzoulaki I, Liberopoulos G, Ioannidis JP: Assessment of claims of improved prediction beyond the Framingham risk score. JAMA. 2009, 302: 2345-2352. 10.1001/jama.2009.1757.CrossRefPubMed
16.
go back to reference Altman DG, Vergouwe Y, Royston P, Moons KGM: Prognosis and prognostic research: validating a prognostic model. BMJ. 2009, 338: b605-10.1136/bmj.b605.CrossRefPubMed Altman DG, Vergouwe Y, Royston P, Moons KGM: Prognosis and prognostic research: validating a prognostic model. BMJ. 2009, 338: b605-10.1136/bmj.b605.CrossRefPubMed
17.
go back to reference Sheridan SL, Crespo E: Does the routine use of global coronary heart disease risk scores translate into clinical benefits or harms? A systematic review of the literature. BMC Health Services Research. 2008, 8: 60-10.1186/1472-6963-8-60.CrossRefPubMedPubMedCentral Sheridan SL, Crespo E: Does the routine use of global coronary heart disease risk scores translate into clinical benefits or harms? A systematic review of the literature. BMC Health Services Research. 2008, 8: 60-10.1186/1472-6963-8-60.CrossRefPubMedPubMedCentral
18.
go back to reference Brekke M, Rekdal M, Straand J: Which population groups should be targeted for cardiovascular prevention? A modelling study based on the Norwegian Hordaland Health Study (HUSK). Scand J Prim Health Care. 2007, 25: 105-111. 10.1080/02813430701241087.CrossRefPubMedPubMedCentral Brekke M, Rekdal M, Straand J: Which population groups should be targeted for cardiovascular prevention? A modelling study based on the Norwegian Hordaland Health Study (HUSK). Scand J Prim Health Care. 2007, 25: 105-111. 10.1080/02813430701241087.CrossRefPubMedPubMedCentral
19.
go back to reference Getz L, Sigurdsson JA, Hetlevik I, Kirkengen AL, Romundstad S, Holmen J: Estimating the high risk group for cardiovascular disease in the Norwegian HUNT 2 population according to the 2003 European guidelines: modelling study. BMJ. 2005, 331: 551-10.1136/bmj.38555.648623.8F.CrossRefPubMedPubMedCentral Getz L, Sigurdsson JA, Hetlevik I, Kirkengen AL, Romundstad S, Holmen J: Estimating the high risk group for cardiovascular disease in the Norwegian HUNT 2 population according to the 2003 European guidelines: modelling study. BMJ. 2005, 331: 551-10.1136/bmj.38555.648623.8F.CrossRefPubMedPubMedCentral
20.
go back to reference Brindle P, Emberson J, Lampe F, Walker M, Whincup P, Fahey T, et al: Predictive accuracy of the Framingham coronary risk score in British men: Prospective cohort study. BMJ. 2003, 327: 1267-10.1136/bmj.327.7426.1267.CrossRefPubMedPubMedCentral Brindle P, Emberson J, Lampe F, Walker M, Whincup P, Fahey T, et al: Predictive accuracy of the Framingham coronary risk score in British men: Prospective cohort study. BMJ. 2003, 327: 1267-10.1136/bmj.327.7426.1267.CrossRefPubMedPubMedCentral
21.
go back to reference Lindman AS, Veierød MB, Pedersen : The ability of the SCORE high-risk model to predict the 10-year cardiovascular disease mortality in Norway. Eur J Cardiovasc Prev Rehabil. 2007, 14: 501-507. 10.1097/HJR.0b013e328011490a.CrossRefPubMed Lindman AS, Veierød MB, Pedersen : The ability of the SCORE high-risk model to predict the 10-year cardiovascular disease mortality in Norway. Eur J Cardiovasc Prev Rehabil. 2007, 14: 501-507. 10.1097/HJR.0b013e328011490a.CrossRefPubMed
22.
go back to reference Collins GS, Altman D: An independent and external validation of QRISK2 cardiovascular disease risk score: a prospective open cohort study. BMJ. 2010, 340: c2442-10.1136/bmj.c2442.CrossRefPubMedPubMedCentral Collins GS, Altman D: An independent and external validation of QRISK2 cardiovascular disease risk score: a prospective open cohort study. BMJ. 2010, 340: c2442-10.1136/bmj.c2442.CrossRefPubMedPubMedCentral
Metadata
Title
Does present use of cardiovascular medication reflect elevated cardiovascular risk scores estimated ten years ago? A population based longitudinal observational study
Authors
Mette Brekke
Jørund Straand
Publication date
01-12-2011
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2011
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/1471-2458-11-144

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