Abstract
Background
Laboratory testing has increased dramatically over recent decades, which is a consequence particularly of repeat testing or monitoring, as either a response to treatment or follow-up.
Aim
To assess rates of measurement of lipid levels (total cholesterol, high-density lipoprotein, triglyceride) for diagnosis and monitoring over the last 20 years.
Design of study
Audit of electronic database.
Setting
A single region in the UK (Oxfordshire).
Method
Specimens from individual patients were matched over time. All tests that were the third or more in a 3-year period were considered to be for monitoring, while the first and second were considered to be for diagnosis. As recent evidence-based recommendations suggest that frequent monitoring of cholesterol may reflect measurement error rather than true changes, between one and three tests in each 3-year period were considered to be ‘necessary’.
Results
Over the 20 years from 1987 there has been a more than 15-fold rise in the overall number of lipid tests requested. After a small decline in the early 1990s, testing rose steadily after publication of several large statin trials, particularly tests requested in primary rather than secondary care. Repeat testing (likely to be for monitoring) rose from 24% of tests (1993–1995) to 61% (2005–2007), with between 42% and 79% of tests in 2005–2007 possibly being unnecessary. Mean cholesterol values declined over time from 1996 onwards.
Conclusion
In the last decade, the number of cholesterol tests performed in Oxfordshire has risen dramatically. Much of this appears to be for monitoring purposes rather than case finding or risk assessment. The majority of cholesterol tests requested may be unnecessary.
Keywords: cholesterol; laboratories, hospital; patient monitoring; testing, lipid; statin
INTRODUCTION
The use of laboratory tests has increased dramatically over the last decades. While some of this increase has provided clinical benefits, some also reflects inappropriate test ordering.1–4 Repeat testing is a major, and growing, component of all laboratory testing,5 with at least some likely to be unnecessary.6 Although the repeat testing may be for relatively simple tests, the high volume of such tests makes the issue important.
Lipid measurement is essential for calculating an individual's overall risk of coronary heart disease (CHD):7,8 high total cholesterol,9 high low-density lipoprotein (LDL),10 and low high-density lipoprotein (HDL)11 cholesterol are associated with increased risk. The risk-prediction charts of the Joint British Societies use total cholesterol or the total-to-HDL cholesterol ratio,7 making these the most commonly measured blood lipids. LDL may be measured directly, but is more commonly calculated using the Friedewald formula, which requires triglyceride measurement.12
Introduced in 1987, statins (or ‘HMG-CoA reductase inhibitors’) have made a dramatic difference to lipid management, being particularly effective in reducing LDL cholesterol.13 Cholesterol lowering using statins reduces CHD mortality among those at both moderate and high risk of CHD,14–21 with moderate risk defined as 15–30% and high risk as ≥30% for a 10-year CHD event.7,22
How this fits in
Counter to common perception, the pattern of laboratory testing of lipids shows a close link to publication of research and guidelines. A slight fall in testing followed the call for a moratorium on cholesterol treatment published in the British Medical Journal; then in the mid-1990s the publication of the major statin trials was followed by a steep rise in testing that preceded guidelines and the quality frameworks. There are several clinical messages: appropriate testing has increased and cholesterol levels appear to be lowered, particularly in older patients (appropriately so). However, based on recent evidence-based recommendations, there also appears to be considerable over-monitoring that is straining laboratories without necessarily benefiting patients.
The number of statin prescriptions has grown by 30% annually, with UK statin expenditure increasing from around £20 million in 1993 to over £113 million in 1997,18 and to £700 million in 2004, representing 9.1% of prescription costs of the National Health Service (NHS).23 Atorvastatin and simvastatin represent the top two drug costs in England (£360 and £251 million respectively).24 National Institute for Health and Clinical Excellence 2006 guidelines propose the use of statins for both primary and secondary prevention of CHD, stating that the statin with the lowest acquisition costs should be used.25 The annual NHS bill for statins was predicted to have been more than £2 billion in 2010.23
Whether the rise in statin usage has been paralleled by a rise in cholesterol testing and monitoring has not been systematically studied. Cholesterol tests account for about 2.5% of all biochemical tests, and treatment guidelines recommend at least annual monitoring of lipid levels for patients on lipid-lowering therapy.26 However, it has been suggested that, because of the weak signal-to-noise ratio in measuring cholesterol level, frequent monitoring of cholesterol might reflect measurement error rather than true changes,6 and less frequent testing of cholesterol, such as every 3 to 5 years, might be warranted in compliant patients who have reached their target levels: it took almost 4 years for long-term variation to exceed short-term variation.6 Results were similar in apparently healthy patients not taking cholesterol-lowering medication.27 This implies that testing of both at-target treated and healthy non-treated patients more than once every 3 years may be unnecessary.
This study examined the patterns of cholesterol testing within Oxfordshire, UK, over a 20-year period from 1987 to 2007. This study aimed to: (1) report the change in the number of cholesterol tests during the 20-year period by source (primary or secondary care) and patient demographics (age, sex); (2) calculate the number of tests by 3-year period and estimate the proportion of tests for monitoring rather than diagnosis, and the proportion that may be unnecessary; and (3) relate frequency of testing to estimated changes in mean cholesterol levels.
METHOD
The Department of Clinical Biochemistry at the Oxford Radcliffe Hospitals NHS Trust serves the population of Oxfordshire and parts of several neighbouring counties (primary and secondary care), as well as tertiary care for several counties. The service is provided through laboratories within the John Radcliffe and Churchill hospitals in Oxford and the Horton Hospital in Banbury. The Department performs more than 5.7 million tests a year, and has an ‘M’-based laboratory information management system with complete data going back to the mid-1980s. The standard laboratory practice throughout the period was to undertake all of, and only, those tests ordered by the requesting clinician.
The laboratory information management system was searched for all total cholesterol, HDL cholesterol, and triglyceride measurements over the period from 1987 to 2007. For each specimen, the patient's hospital or NHS number (where known), and their surname, forename, sex, date of birth, the date of the specimen, the requesting physician, and his/her location were also recorded. As consultant head of the Department of Clinical Biochemistry, one of the researchers has full access to the data; no one outside the department was given access to data that were not fully anonymised or aggregated.
The NHS number was used to link records. For the 5% of records overall with no NHS number (the proportion was greater in earlier years), patients' surname, forename, sex, and date of birth were used to match with those already linked using NHS numbers. Data were then anonymised. For each patient, the dates of the first and last specimens, and the number of specimens in each year were determined. Data were then considered in 3-year periods. While the purpose of tests (screening or monitoring) was not recorded, in each 3-year period all tests beyond the second (third and subsequent specimens) were considered likely to be for monitoring rather than diagnosis: either as a response to treatment or for longer-term follow-up.
Similarly, it was not known which patients were being treated and, of these, which were at target. A sensitivity analysis was used to estimate a range of possible values for the proportion of unnecessary tests, assuming that only the first test in each 3-year period may be necessary for patients, both treated and untreated, who are at target6,27 while for those patients who have yet to attain target levels, more frequent (for example, annual26) testing may be warranted. The proportion of unnecessary tests was thus estimated to lie between the fourth or more (that is, those tests that were more frequent than annual) to the second or subsequent tests in each 3-year period. As the individuals in the sample will have comprised both those who were at target and those who were not, the true value, based on current evidence-based recommendations, is likely to lie within this range.
Statistical methods
Data were analysed using R.28 To assess factors related to cholesterol level, a series of maximum likelihood mixed effects linear regression models were fitted to the data.29 These models allow for correlation between repeated measurements and for both fixed and random effects. Person ID was fitted as a random effect; fixed effects included sex, age, and age-squared (to allow for the observed non-linearity of the relationship between age and cholesterol), time since first test, specimen number, testing period (up to 1995 versus after 1995), and the interaction between specimen number and testing period.
RESULTS
Over the two decades, the number of total cholesterol requests per year increased more than 10-fold from 10 193 in 1987, to 117 488 in 2007 (Figure 1). During the early 1990s there was a slight fall in the number of total cholesterol tests requested, followed by a rapid four-fold rise from 1996 onwards. The largest absolute increases in specimen requests occurred during 2003 (11 305 tests) and 2004 (15 888 tests). The increase in triglyceride requests was similar (7180 in 1987 to 85 885 in 2007; an almost 11-fold increase), but much greater for HDL cholesterol (nine tests in 1987, and 1081 in 1995, to 88 356 in 2007; an 81-fold increase from 1996 onwards; Figure 2).
Over all analyses, the increase to 291 729 tests in 2007 was almost 16-fold from 1987 (17 382 tests) and more than seven-fold from 1996 onwards (35 988 tests in 1995). Within each age group, the number of specimens generally increased over time. However, the increase was smallest in those aged <30 years (7953 specimens requested in 1987–1989 versus 30 256 in 2005–2007; a relative increase of almost three-fold) and greatest in patients in their seventh (8580 versus 84 186; relative increase almost nine-fold) and eighth decades (3095 versus 77 794; 24-fold).
For all three analyses, most of the increase in requests originated from requests made in primary rather than secondary care: 28-fold versus 1.8-fold for total cholesterol, 26-fold versus 1.9-fold for triglycerides (both 1987 to 2007), and 223-fold versus 81-fold for HDL (1992 to 2007) respectively (Figure 2). The proportion of specimens from females increased from 40% to 50% over this 20-year period.
Tests per person
Of 355 517 individuals identified, the number having a first recorded cholesterol test per 3-year period increased from 25 538 in 1987–1989 to a peak of 77 465 in 2002–2004. The median age at time of first specimen and proportion of females increased from 52 years and 44% in 1987–1989, to 60 years and 49% in 2005–2007. Figure 3 shows the overall numbers of tests, and numbers of tests per person, performed over each 3-year period. The height of each bar corresponds to the overall number of tests performed, with each bar broken down by the proportion of each number of tests per person within that period (one to six and more tests).
In 1987–1989, 19 666 people (77% of the total number of people) had one test, approximately half (53%) of the total number of tests (36 973) performed during these 3 years (Table 1). While the proportion of people with one test decreased to 48% in 2005–2007 (21% of 342 774 tests), the overall number of individuals having one test increased to 73 031. At the same time, the proportion of those having five or more tests increased from 2.3% in 1987–1989 (597 individuals having 4346 tests) to 9.9% in 2005–2007 (15 151 individuals having 93 757 tests). The tests requested in these 9.9% of individuals accounted for 27% of all tests during this last 3-year period.
Table 1.
3-year period | Diagnosis | Monitoring | Total | Sensitivity analysis of unnecessary testing | ||
---|---|---|---|---|---|---|
1 test | 2 tests | ≥3 tests | All tests | Lower bound ≥2 tests | Upper bound ≥4 tests | |
1987–1989 | 19 666 (53) | 6788 (18) | 10 519 (28) | 36 973 | 17 307 (47) | 6466 (17) |
1990–1992 | 31 870 (49) | 11 658 (18) | 20 869 (32) | 64 397 | 32 527 (51) | 13 201 (20) |
1993–1995 | 36 608 (57) | 12 734 (20) | 15 270 (24) | 64 612 | 28 004 (43) | 8373 (13) |
1996–1998 | 48 524 (43) | 20 794 (18) | 43 579 (39) | 112 897 | 64 373 (57) | 29 362 (26) |
1999–2001 | 65 298 (37) | 32 890 (19) | 77 369 (44) | 175 557 | 110 259 (63) | 53 678 (31) |
2002–2004 | 76 548 (28) | 52 248 (19) | 140 785 (52) | 269 581 | 193 033 (72) | 96 352 (36) |
2005–2007 | 73 031 (21) | 59 780 (17) | 209 963 (61) | 342 774 | 269 743 (79) | 143 417 (42) |
Data are broken down by those specimens assumed to be for diagnosis (1–2 tests) and those for monitoring (3+ tests), with a sensitivity analysis showing limits of the numbers of tests that may be unnecessary.
Monitoring versus diagnosis
The number and percentage of tests likely to be for monitoring (three or more tests) or diagnosis (one or two tests) within each 3-year period are shown in Table 1 and Figure 3. Between 1987 and 1989, 12% of patients had three or more tests (31% of tests). This proportion stayed relatively constant, or even decreased slightly to 24% in 1993–1995, until 1996–1998 when it began to increase, with 44% of the tests in 1999–2001 and 61% of the tests in 2005–2007 being for monitoring.
Necessary versus unnecessary tests
The proportion of tests in this dataset that were potentially unnecessary ranged from 17% (≥4th test) to 47% (≥2nd test) in 1987–1989, fell in 1993–1995 to 13–43%, and rose to 42–79% in 2005–2007, which represents between 143 417 and 269 743 unnecessary tests during the last 3-year period (Table 1).
Changes in mean cholesterol
Mean cholesterol levels fell over the period from 6–7 mmol/l in 1987 to around 5.0 mmol/l in 2007. The levels had a non-linear relationship with age, with the values peaking at 60–69 years. Figure 4 shows the mean total serum cholesterol values and standard deviation bars stratified by number of tests and 3-year period. Mean cholesterol levels are generally higher in those having more tests before 1999–2001, and lower after this. The solid line in Figure 4 shows the mean cholesterol level over the 3-year periods for those being tested for diagnosis only (one or two tests per period), while the dotted line shows levels for those whose tests were assumed to be for monitoring. Levels associated with monitoring decreasing markedly over time, reaching lower values than those for the accompanying diagnostic tests during 2005–2007. Mean cholesterol levels at each test for patients with increasing numbers of specimens within each 3-year period are shown in Figure 5. Mean values generally decrease with each additional test in each 3-year period, and in all but the later years are higher the greater the overall number of tests requested.
The mixed models showed that cholesterol was associated with sex (mean levels in males were 0.53 mm/l lower), age (patients in middle age generally having higher cholesterol levels: every year of age increased cholesterol by a mean of 0.103 mmol/l, with the non-linearity of the age effect indicated by every age-squared decreasing the cholesterol level by a mean of 0.001 mmol/l), number of specimens (with every extra specimen per 3-year period increasing the cholesterol by a mean of 0.011 mmol/l), period of testing (cholesterol levels lower after 1995, by a mean of 0.77 mmol/l), and time since first test (cholesterol decreased by a mean of 0.086 mmol/l every year). Because of the large sample size, each estimate is precise and highly statistically significant (P<0.0001).
The changing pattern of the relationship between specimen number and mean cholesterol in the later compared with the earlier periods (Figures 4 and 5) was shown by a significant interaction term between specimen number and period, which indicated that after 1995 each additional specimen was associated with a mean reduction in cholesterol of 0.02 mmol/l. This is an overall effect; the reduction is greater in later periods (Figure 4). The mean overall decrease of 0.49 mmol/l associated with specimens collected after 1995 remained, together with the overall relationship between number of specimens and cholesterol values (every extra specimen was associated with a mean increase in cholesterol of 0.03 mmol/l).
DISCUSSION
Summary of main findings
The number of cholesterol tests (total cholesterol, triglycerides, and HDL cholesterol) performed in Oxfordshire fell briefly then rose dramatically over the past 20 years, with a more than 15-fold increase overall and a 7-fold increase over the last decade. The fall and rise appear to follow closely the publication of systematic reviews, trials, and guidelines. Most of the increase is associated with requests made by primary rather than secondary care, from an increase in testing of older rather than younger patients, and from an increase in the number of tests for monitoring purposes rather than case finding or cardiovascular disease risk assessment. Over the last two decades, the estimated proportion of tests for monitoring has more than doubled from 28% to 61%. Similarly, the proportion of all tests in this dataset that are potentially unnecessary was estimated to be between 17% and 47% in 1987–1989, rising to between 42% and 79% in 2005–2007. Mean blood cholesterol levels decreased overall from 6.3 mmol/l in 1987–1989 to 5.0 mmol/l in 2005–2007.
Strengths and limitations of the study
The strengths of the study include the single electronic database with records of laboratory tests conducted in most of Oxfordshire (and surrounding counties for tertiary care) going back to the mid-1980s. The high proportion of patients who could be identified reliably using their NHS numbers allowed patient data to be linked over time, estimation of the proportion of tests during each 3-year period conducted for monitoring rather than diagnostic purposes, and, based on recent evidence-based recommendations,6,27 the proportion of tests that may have been unnecessary.
The study has some limitations. First, patient identification was imperfect: in earlier years in particular it relied on name, sex, and date of birth. Second, the use of frequency of testing to determine which specimens were obtained for monitoring and which were obtained for diagnosis is subject to error. While the use of name, sex, and date of birth to match patient records with no NHS numbers means that the repeat rate may have been underestimated because of failure to match people with slightly different spellings of names or extra given names (for Ann versus Ann Margaret), equally, some tests may have been repeated for reasons such as the lack of a fasting blood sample, patient movement between practices, or, for patients admitted to secondary care, repeat of a test already undertaken in primary care. Third, there was no information about the patients' histories and risk factors, and it is not known which patients were on treatment and whether or not their target level of cholesterol was reached. Thus, it is not possible to adjust for these factors, all of which would influence monitoring intensity. Fourth, a change in the calibration of the testing around 1993 led to an artificial fall in reported cholesterol levels.30 Fifth, these data represent only the specimens requested by GPs and hospitals within the region and do not represent population values for Oxfordshire. Sixth, there is no information on cholesterol measurements undertaken in other laboratories, or with point-of-care devices, or of their contribution to changes in laboratory activity.
Comparison with existing literature
The modest fall in the number of cholesterol tests in the early 1990s followed by the rapid rise in the late 1990s coincides with journal publications and the advent of statin treatment (Figure 1). The fall appears to reflect the questioning of cholesterol treatments, notably the call for a moratorium on cholesterol treatment published by the British Medical Journal.31,32 At that time, no clinical trial convincingly showed that reducing cholesterol levels decreases mortality, with many clinical trials33 and, particularly, observational studies,34 reporting associated increases in non-cardiac mortality. Even though studies such as the Framingham Study,35 the Multiple Risk Factor Intervention Trial, and the World Health Organization European Collaborative trial36 demonstrated the link between high blood cholesterol and CHD, and specific migrant studies showed the effect of environmental change in raising cholesterol levels with associated higher rates of CHD,37 the high prevalence of raised cholesterol levels suggested to some that such levels were biologically normal.38
The rise in testing appears to follow the publication of three clinical trials in the mid-1990s, with an initial slight increase following the 1994 publication of the Scandinavian Simvasatin Survival Study,14 the first trial to show that a statin could improve survival in CHD patients. Further rises occurred after the 1995 publication of the West of Scotland Coronary Prevention study15 — the first trial to show effectiveness in the primary prevention of CHD among those with high cholesterol levels — and the 1996 Cholesterol and Recurrent Events trial,22 which showed beneficial effects in those with CHD and moderate cholesterol levels. The rise in testing continued with the Joint British Societies' guidelines in 1998,7 the UK National Service Framework for CHD in 2000,39 and the publication of other trials such as the 1998 Long-Term Intervention with Pravastatin in Lipid Disease trial,16 and the 2002 and 2003 publications from the Medical Research Council/British Heart Foundation Heart Protection Study,20,21 together with the UK expiry of the simvasatin patent in May 2003.
The particularly high relative increase in the number of HDL cholesterol tests requested (Figure 2) may reflect the use of the total-to-HDL cholesterol ratio as the risk-prediction tool in the 1998 Joint British Societies' guidelines,7 which first appeared as an appendix in the British National Formulary in 2000. The introduction of the Quality and Outcomes Framework (QOF) in April 2004, and its adjustment in April 2006, appeared to precede a slowing of the increase in cholesterol testing and its reduction, respectively.
Mean blood cholesterol levels in 2005–2007 were slightly lower than the published 2006 mean blood cholesterol levels for males and females aged 16 years and over in the whole of England (5.3 and 5.4 mmol/l),8,40 which probably reflects a regional effect.8 The levels are, however, close to those suggested by the National Service Framework for CHD of a cholesterol target of <5.0 mmol/l for both primary and secondary prevention of CHD.39 More recent guidelines suggest a target for total cholesterol of <4.0 mmol/l for high-risk individuals.41
Implications for future research and clinical practice
Patients who do not comply with treatment regimes constitute around 25% of those prescribed statins in primary care,42 and up to 85% of those who have received more than 5 years of therapy.43 Regular checks can be used to monitor and enhance compliance as well as assess the success of the prescribed therapy,41 and associated lifestyle interventions, such as dietary modification and increased exercise.44 While any reduction in frequency would need to be undertaken in the context of associated patient-centred prevention strategies,45 the large proportion of tests for monitoring estimated to have been conducted in recent years is likely to reflect current treatment guidelines which recommend frequent monitoring of lipid levels for patients on lipid-lowering therapy.26 This frequency has recently been questioned using data from large treatment trials,6,27 although these observations have yet to impact on treatment guidelines. While the QOF requirement for patients on ‘at risk’ registers to have one annual cholesterol test may be a barrier to evidence-based change in practice, there is some evidence from this study that the QOF curtailed the rapid increase in cholesterol testing.
There appears to be considerable over-monitoring that may not benefit patients, while also straining laboratories and incurring considerable economic costs to the NHS and personal costs to patients. The current NHS system, whereby the local primary care trust pays laboratories for testing on behalf of their practices, and where most of the tests are done under a block contract that only partially reflects activity, does not necessarily encourage GPs to limit their use of this resource. The rise over the last two decades in the proportion of tests for monitoring, combined with the estimated large proportion of all tests that may be unnecessary, suggest there may be scope in some stable patients to reduce the volume of lipid testing, with potential benefits for the NHS, laboratories, and clinicians, and, moreover, for the individual patients.
Acknowledgments
Our thanks to Rod Jackson, David Mant, Dan Lasserson, Andrew Neil, and Jeffrey Aronson for helpful comments on drafts and analyses during the preparation of this paper.
Funding body
This work was supported a National Institute for Health Research Programme Grant.
Ethics committee
The National Research Ethics Service confirmed that the study was service audit and therefore did not require ethical approval.
Competing interests
The authors have stated that there are none.
Discuss this article
Contribute and read comments about this article on the Discussion Forum: http://www.rcgp.org.uk/bjgp-discuss
REFERENCES
- 1.Fowkes FGR. Containing the use of diagnostic tests. Br Med J (Clin Res Ed) 1985;290(6467):488–490. doi: 10.1136/bmj.290.6467.488. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Bates DW, Boyle DL, Rittenberg E, et al. What proportion of common diagnostic tests appear redundant? Am J Med. 1998;104(4):361–368. doi: 10.1016/s0002-9343(98)00063-1. [DOI] [PubMed] [Google Scholar]
- 3.VanWalraven C, Naylor CD. Do we know what inappropriate laboratory utilization is? A systematic review of laboratory clinical audits. JAMA. 1998;280(6):550–558. doi: 10.1001/jama.280.6.550. [DOI] [PubMed] [Google Scholar]
- 4.Weydert JA, Nobbs ND, Feld R, Kemp JD. A simple, focused, computerized query to detect overutilization of laboratory tests. Arch Pathol Lab Med. 2005;129(9):1141–1143. doi: 10.5858/2005-129-1141-ASFCQT. [DOI] [PubMed] [Google Scholar]
- 5.Van Walraven C, Raymond M. Population-based study of repeat laboratory testing. Clin Chem. 2003;49(12):1997–2005. doi: 10.1373/clinchem.2003.021220. [DOI] [PubMed] [Google Scholar]
- 6.Glasziou PP, Irwig L, Heritier S, et al. LIPID Study Investigators Monitoring cholesterol levels: measurement error or true change? Ann Intern Med. 2008;148(9):656–661. doi: 10.7326/0003-4819-148-9-200805060-00005. [DOI] [PubMed] [Google Scholar]
- 7.Joint British recommendations on prevention of coronary heart disease in clinical practice. Heart. 1998;80(Suppl 2):S1–S29. [PMC free article] [PubMed] [Google Scholar]
- 8.British Heart Foundation Statistics Database. Coronary heart disease statistics. 2008 http://www.heartstats.org (accessed 7 Jun 2010) [Google Scholar]
- 9.Stamler J, Vaccaro O, Neaton JD, et al. for the Multiple Risk Factor Intervention Trial Research Group Diabetes, other risk factors and 12-year cardiovascular mortality for men screened in the multiple risk factor intervention trial. Diabetes Care. 1993;16(2):434–444. doi: 10.2337/diacare.16.2.434. [DOI] [PubMed] [Google Scholar]
- 10.Breuer HM. Low density lipoprotein cholesterol and coronary heart disease—lower is better. Eur Cardiol. 2005 http://www.touchcardiology.com/files/article_pdfs/5273.pdf (accessed 7 Jun 2010) [Google Scholar]
- 11.Residual Risk Reduction Initiative, R3i. New insights link low HDLcholesterol and elevated triglycerides with coronary heart disease and microvascular complications in patients at goal for ldl-cholesterol. 2009 http://www.prnewswire.com/mnr/r3i/39757/ (accessed 7 Jun 2010) [Google Scholar]
- 12.Friedewald WT, Levy RI, Fredrickson DS. Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem. 1972;18(6):499–502. [PubMed] [Google Scholar]
- 13.Baigent C, Keech A, Kearney PM, et al. Cholesterol Treatment Trialists' (CTT) Collaborators Efficacy and safety of cholesterollowering treatment: prospective meta-analysis of data from 90 056 participants in 14 randomised trials of statins. Lancet. 2005;366(9493):1267–1278. doi: 10.1016/S0140-6736(05)67394-1. [DOI] [PubMed] [Google Scholar]
- 14.Scandinavian Simvastatin Survival Study Group. Randomised trial of cholesterol lowering in 4444 patients with coronary heart disease: the Scandinavian Simvastatin Survival Study (4S) Lancet. 1994;344(8934):1383–1389. [PubMed] [Google Scholar]
- 15.Shepherd J, Stuart M, Cobbe M, et al. for the West of Scotland Coronary Prevention Group Prevention of coronary heart disease with pravastatin in men with hypercholesterolemia. N Engl J Med. 1995;333(20):1301–1307. doi: 10.1056/NEJM199511163332001. [DOI] [PubMed] [Google Scholar]
- 16.The Long-Term Intervention with Pravastatin in Ischaemic Disease (LIPID) Study Group. Prevention of cardiovascular events and death with pravastatin in patients with coronary heart disease and a broad range of initial cholesterol levels. N Engl J Med. 1998;339(19):1349–1357. doi: 10.1056/NEJM199811053391902. [DOI] [PubMed] [Google Scholar]
- 17.Pedersen T, Kjekshus J, Pyörälä K, et al. Effect of Simvastatin on Ischemic Signs and Symptoms in the Scandinavian Simvastatin Survival Study. Am J Cardiol. 1998;81(3):333–335. doi: 10.1016/s0002-9149(97)00904-1. [DOI] [PubMed] [Google Scholar]
- 18.Effective Health Care. Cholesterol and coronary heart disease: screening and treatment. York: NHS Centre for Reviews and Dissemination; 1998. [Google Scholar]
- 19.Department of Health. National service framework for coronary heart disease. London: Department of Health; 2000. [Google Scholar]
- 20.Collins R, Armitage J, Parish S, et al. MRC/BHF Heart Protection Study of cholesterol lowering with simvastatin in 20 536 high-risk individuals: a randomised placebo-controlled trial. Lancet. 2002;360(9326):7–22. doi: 10.1016/S0140-6736(02)09327-3. [DOI] [PubMed] [Google Scholar]
- 21.Collins R, Armitage J, Parish S, et al. MRC/BHF Heart Protection Study of cholesterol lowering with simvastatin in 5963 people with diabetes: a randomised controlled trial. Lancet. 2003;361(9374):2005–2016. doi: 10.1016/s0140-6736(03)13636-7. [DOI] [PubMed] [Google Scholar]
- 22.Sacks FM, Pfeffer MA, Moye LA, et al. for the Cholesterol and Recurrent Events Trial Investigators The effect of pravastatin on coronary events after myocardial infarction in patients with average cholesterol levels. N Eng J Med. 1996;335(14):1001–1009. doi: 10.1056/NEJM199610033351401. [DOI] [PubMed] [Google Scholar]
- 23.Editorial. OTC Statins: a bad decision for public health. Lancet. 2004;363(9422):1659. doi: 10.1016/S0140-6736(04)16284-3. [DOI] [PubMed] [Google Scholar]
- 24.University College London Hospitals. UCLH guidelines on statin prescribing. http://www.uclh.nhs.uk/ourservices/serviceaz/css/pmm/documents/uclh%20guidelines%20on%20statin%20prescribing.pdf.
- 25.National Institute for Health and Clinical Excellence. Statins for the prevention of cardiovascular events. London: National Institute for Health and Clinical Excellence; 2006. [Google Scholar]
- 26.National Heart, Lung, and Blood Institute. Third report on the National Cholesterol Education Program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III) Bethesda,MD: US Department of Health and Human Services; 2001. [Google Scholar]
- 27.Takahashi O, Glasziou PP, Perera R, et al. Lipid re-screening: what is the best measure and interval? Heart. 2010;96(6):448–452. doi: 10.1136/hrt.2009.172619. [DOI] [PubMed] [Google Scholar]
- 28.R version 2.10.0. The R Project for Statistical Computing. http://www.r-project.org (accessed 7 Jun 2010)
- 29.Singer JD, Willett JB. Applied longitudinal data analysis: modeling change and event occurrence. Oxford: Oxford University Press; 2003. [Google Scholar]
- 30.Packard CJ, Bell MA, Eaton RH, et al. A pilot scheme for improving the accuracy of serum cholesterol measurement in Scotland and Northern Ireland. Ann Clin Biochem. 1993;30(Pt 4):387–393. doi: 10.1177/000456329303000407. [DOI] [PubMed] [Google Scholar]
- 31.Oliver MF. Doubts about preventing coronary heart disease. BMJ. 1992;304(6824):393–394. doi: 10.1136/bmj.304.6824.393. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Davey Smith G, Pekkanen J. Should there be a moratorium on the use of cholesterol lowering drugs? BMJ. 1992;304(6824):431–434. doi: 10.1136/bmj.304.6824.431. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Oliver MF. Might treatment of hypercholesterolaemia increase noncardiac mortality? Lancet. 1991;337(8756):1529–1531. doi: 10.1016/0140-6736(91)93208-q. [DOI] [PubMed] [Google Scholar]
- 34.Manolio TA, Ettinger WH, Tracy RP, et al. for the CHS Collaborative Research Group Epidemiology of low cholesterol levels in older adults: The Cardiovascular Health Study. Circulation. 1993;87(3):728–737. doi: 10.1161/01.cir.87.3.728. [DOI] [PubMed] [Google Scholar]
- 35.Castelli WP, Anderson K, Wilson PW, Levy D. Lipids and risk of coronary heart disease. The Framingham Study. Ann Epidemiol. 1992;2(1-2):23–28. doi: 10.1016/1047-2797(92)90033-m. [DOI] [PubMed] [Google Scholar]
- 36.Kornitzer M, Rose G. WHO European Collaborative Trial of multifactorial prevention of coronary heart disease. Prev Med. 1985;14(3):272–278. doi: 10.1016/0091-7435(85)90056-8. [DOI] [PubMed] [Google Scholar]
- 37.Robertson TL, Kato H, Rhoads GG, et al. Epidemiologic studies of coronary heart disease and stroke in Japanese men living in Japan, Hawaii and California. Incidence of myocardial infarction and death from coronary heart disease. Am J Cardiol. 1977;39(2):239–243. doi: 10.1016/s0002-9149(77)80197-5. [DOI] [PubMed] [Google Scholar]
- 38.Shepherd J. Cholesterol lowering with statins: how WOSCOPS confounded the skeptics. Atheroscler Suppl. 2007;8(2):9–12. doi: 10.1016/j.atherosclerosissup.2007.02.001. [DOI] [PubMed] [Google Scholar]
- 39.Department of Health. National service framework for coronary heart disease. London: Department of Health; 2000. [Google Scholar]
- 40.Joint Health Surveys Unit. Health Survey for England 2006. Cardiovascular disease and risk factors. Leeds: The Information Centre; 2008. [Google Scholar]
- 41.British Cardiac Society, British Hypertension Society, Diabetes UK, HEART UK, Primary Care Cardiovascular Society, The Stroke Association (2005) JBS2: Joint British Societies' guidelines on prevention of cardiovascular disease in clinical practices. Heart. 2005;91(SupplV):v1–v52. doi: 10.1136/hrt.2005.079988. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Howell N, Trotter R, Mottram DR, Rowe PH. Compliance with statins in primary care. Pharm J. 2004;272(7281):1–40. [Google Scholar]
- 43.Jacobson TA. The forgotten cardiac risk factor: noncompliance with lipid-lowering therapy. Medscape Cardiology. 2004;8(2) http://www.medscape.com/viewarticle/496144 (accessed 7 Jun 2010) [Google Scholar]
- 44.North West London Cardiac Network. Guidance on prescribing of statins in primary & secondary care across NW London. London: NorthWest London Cardiac Network; 2006. http://www.nwlcn.co.uk/pdfs/amendedfinalstatinpresguide41207.pdf (accessed 7 Jun 2010) [Google Scholar]
- 45.Taubert KA, Clark NG, Smith RA. Patient-centred prevention strategies for cardiovascular disease, cancer and diabetes. Nat Rev Cardiol. 2007;4(12):656–666. doi: 10.1038/ncpcardio1029. [DOI] [PubMed] [Google Scholar]