Optimal strategies for monitoring lipid levels in patients at risk or with cardiovascular disease: A systematic review with statistical and cost-effectiveness modelling

Rafael Perera, Emily McFadden, Julie McLellan, Tom Lung, Philip Clarke, Teresa Pérez, Thomas Fanshawe, Andrew Dalton, Andrew Farmer, Paul Glasziou, Osamu Takahashi, John Stevens, Les Irwig, Jennifer Hirst, Sarah Stevens, Asuka Leslie, Sachiko Ohde, Gautam Deshpande, Kevin Urayama, Brian Shine & 1 others Richard Stevens

Research output: Contribution to journalReview articleResearchpeer-review

12 Citations (Scopus)

Abstract

BACKGROUND: Various lipid measurements in monitoring/screening programmes can be used, alone or in cardiovascular risk scores, to guide treatment for prevention of cardiovascular disease (CVD). Because some changes in lipids are due to variability rather than true change, the value of lipid-monitoring strategies needs evaluation.

OBJECTIVE: To determine clinical value and cost-effectiveness of different monitoring intervals and different lipid measures for primary and secondary prevention of CVD.

DATA SOURCES: We searched databases and clinical trials registers from 2007 (including the Cochrane Central Register of Controlled Trials, MEDLINE, EMBASE, the Clinical Trials Register, the Current Controlled Trials register, and the Cumulative Index to Nursing and Allied Health Literature) to update and extend previous systematic reviews. Patient-level data from the Clinical Practice Research Datalink and St Luke's Hospital, Japan, were used in statistical modelling. Utilities and health-care costs were drawn from the literature.

METHODS: In two meta-analyses, we used prospective studies to examine associations of lipids with CVD and mortality, and randomised controlled trials to estimate lipid-lowering effects of atorvastatin doses. Patient-level data were used to estimate progression and variability of lipid measurements over time, and hence to model lipid-monitoring strategies. Results are expressed as rates of true-/false-positive and true-/false-negative tests for high lipid or high CVD risk. We estimated incremental costs per quality-adjusted life-year.

RESULTS: A total of 115 publications reported strength of association between different lipid measures and CVD events in 138 data sets. The summary adjusted hazard ratio per standard deviation of total cholesterol (TC) to high-density lipoprotein (HDL) cholesterol ratio was 1.25 (95% confidence interval 1.15 to 1.35) for CVD in a primary prevention population but heterogeneity was high (I(2) = 98%); similar results were observed for non-HDL cholesterol, apolipoprotein B and other ratio measures. Associations were smaller for other single lipid measures. Across 10 trials, low-dose atorvastatin (10 and 20 mg) effects ranged from a TC reduction of 0.92 mmol/l to 2.07 mmol/l, and low-density lipoprotein reduction of between 0.88 mmol/l and 1.86 mmol/l. Effects of 40 mg and 80 mg were reported by one trial each. For primary prevention, over a 3-year period, we estimate annual monitoring would unnecessarily treat 9 per 1000 more men (28 vs. 19 per 1000) and 5 per 1000 more women (17 vs. 12 per 1000) than monitoring every 3 years. However, annual monitoring would also undertreat 9 per 1000 fewer men (7 vs. 16 per 1000) and 4 per 1000 fewer women (7 vs. 11 per 1000) than monitoring at 3-year intervals. For secondary prevention, over a 3-year period, annual monitoring would increase unnecessary treatment changes by 66 per 1000 men and 31 per 1000 women, and decrease undertreatment by 29 per 1000 men and 28 per 1000 men, compared with monitoring every 3 years. In cost-effectiveness, strategies with increased screening/monitoring dominate. Exploratory analyses found that any unknown harms of statins would need utility decrements as large as 0.08 (men) to 0.11 (women) per statin user to reverse this finding in primary prevention.

LIMITATION: Heterogeneity in meta-analyses.

CONCLUSIONS: While acknowledging known and potential unknown harms of statins, we find that more frequent monitoring strategies are cost-effective compared with others. Regular lipid monitoring in those with and without CVD is likely to be beneficial to patients and to the health service. Future research should include trials of the benefits and harms of atorvastatin 40 and 80 mg, large-scale surveillance of statin safety, and investigation of the effect of monitoring on medication adherence.

STUDY REGISTRATION: This study is registered as PROSPERO CRD42013003727.

FUNDING: The National Institute for Health Research Health Technology Assessment programme.

Original languageEnglish
Pages (from-to)1-401, vii-viii
JournalHealth Technology Assessment
Volume19
Issue number100
DOIs
Publication statusPublished - 1 Dec 2015

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Cost-Benefit Analysis
Cardiovascular Diseases
Lipids
Hydroxymethylglutaryl-CoA Reductase Inhibitors
Primary Prevention
Secondary Prevention
Meta-Analysis
Cholesterol
Clinical Trials
Costs and Cost Analysis
Biomedical Technology Assessment
Medication Adherence
Quality-Adjusted Life Years
National Institutes of Health (U.S.)
Apolipoproteins B
Population Characteristics
LDL Lipoproteins
Research
MEDLINE
Health Care Costs

Cite this

Perera, Rafael ; McFadden, Emily ; McLellan, Julie ; Lung, Tom ; Clarke, Philip ; Pérez, Teresa ; Fanshawe, Thomas ; Dalton, Andrew ; Farmer, Andrew ; Glasziou, Paul ; Takahashi, Osamu ; Stevens, John ; Irwig, Les ; Hirst, Jennifer ; Stevens, Sarah ; Leslie, Asuka ; Ohde, Sachiko ; Deshpande, Gautam ; Urayama, Kevin ; Shine, Brian ; Stevens, Richard. / Optimal strategies for monitoring lipid levels in patients at risk or with cardiovascular disease : A systematic review with statistical and cost-effectiveness modelling. In: Health Technology Assessment. 2015 ; Vol. 19, No. 100. pp. 1-401, vii-viii.
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abstract = "BACKGROUND: Various lipid measurements in monitoring/screening programmes can be used, alone or in cardiovascular risk scores, to guide treatment for prevention of cardiovascular disease (CVD). Because some changes in lipids are due to variability rather than true change, the value of lipid-monitoring strategies needs evaluation.OBJECTIVE: To determine clinical value and cost-effectiveness of different monitoring intervals and different lipid measures for primary and secondary prevention of CVD.DATA SOURCES: We searched databases and clinical trials registers from 2007 (including the Cochrane Central Register of Controlled Trials, MEDLINE, EMBASE, the Clinical Trials Register, the Current Controlled Trials register, and the Cumulative Index to Nursing and Allied Health Literature) to update and extend previous systematic reviews. Patient-level data from the Clinical Practice Research Datalink and St Luke's Hospital, Japan, were used in statistical modelling. Utilities and health-care costs were drawn from the literature.METHODS: In two meta-analyses, we used prospective studies to examine associations of lipids with CVD and mortality, and randomised controlled trials to estimate lipid-lowering effects of atorvastatin doses. Patient-level data were used to estimate progression and variability of lipid measurements over time, and hence to model lipid-monitoring strategies. Results are expressed as rates of true-/false-positive and true-/false-negative tests for high lipid or high CVD risk. We estimated incremental costs per quality-adjusted life-year.RESULTS: A total of 115 publications reported strength of association between different lipid measures and CVD events in 138 data sets. The summary adjusted hazard ratio per standard deviation of total cholesterol (TC) to high-density lipoprotein (HDL) cholesterol ratio was 1.25 (95{\%} confidence interval 1.15 to 1.35) for CVD in a primary prevention population but heterogeneity was high (I(2) = 98{\%}); similar results were observed for non-HDL cholesterol, apolipoprotein B and other ratio measures. Associations were smaller for other single lipid measures. Across 10 trials, low-dose atorvastatin (10 and 20 mg) effects ranged from a TC reduction of 0.92 mmol/l to 2.07 mmol/l, and low-density lipoprotein reduction of between 0.88 mmol/l and 1.86 mmol/l. Effects of 40 mg and 80 mg were reported by one trial each. For primary prevention, over a 3-year period, we estimate annual monitoring would unnecessarily treat 9 per 1000 more men (28 vs. 19 per 1000) and 5 per 1000 more women (17 vs. 12 per 1000) than monitoring every 3 years. However, annual monitoring would also undertreat 9 per 1000 fewer men (7 vs. 16 per 1000) and 4 per 1000 fewer women (7 vs. 11 per 1000) than monitoring at 3-year intervals. For secondary prevention, over a 3-year period, annual monitoring would increase unnecessary treatment changes by 66 per 1000 men and 31 per 1000 women, and decrease undertreatment by 29 per 1000 men and 28 per 1000 men, compared with monitoring every 3 years. In cost-effectiveness, strategies with increased screening/monitoring dominate. Exploratory analyses found that any unknown harms of statins would need utility decrements as large as 0.08 (men) to 0.11 (women) per statin user to reverse this finding in primary prevention.LIMITATION: Heterogeneity in meta-analyses.CONCLUSIONS: While acknowledging known and potential unknown harms of statins, we find that more frequent monitoring strategies are cost-effective compared with others. Regular lipid monitoring in those with and without CVD is likely to be beneficial to patients and to the health service. Future research should include trials of the benefits and harms of atorvastatin 40 and 80 mg, large-scale surveillance of statin safety, and investigation of the effect of monitoring on medication adherence.STUDY REGISTRATION: This study is registered as PROSPERO CRD42013003727.FUNDING: The National Institute for Health Research Health Technology Assessment programme.",
author = "Rafael Perera and Emily McFadden and Julie McLellan and Tom Lung and Philip Clarke and Teresa P{\'e}rez and Thomas Fanshawe and Andrew Dalton and Andrew Farmer and Paul Glasziou and Osamu Takahashi and John Stevens and Les Irwig and Jennifer Hirst and Sarah Stevens and Asuka Leslie and Sachiko Ohde and Gautam Deshpande and Kevin Urayama and Brian Shine and Richard Stevens",
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Perera, R, McFadden, E, McLellan, J, Lung, T, Clarke, P, Pérez, T, Fanshawe, T, Dalton, A, Farmer, A, Glasziou, P, Takahashi, O, Stevens, J, Irwig, L, Hirst, J, Stevens, S, Leslie, A, Ohde, S, Deshpande, G, Urayama, K, Shine, B & Stevens, R 2015, 'Optimal strategies for monitoring lipid levels in patients at risk or with cardiovascular disease: A systematic review with statistical and cost-effectiveness modelling' Health Technology Assessment, vol. 19, no. 100, pp. 1-401, vii-viii. https://doi.org/10.3310/hta191000

Optimal strategies for monitoring lipid levels in patients at risk or with cardiovascular disease : A systematic review with statistical and cost-effectiveness modelling. / Perera, Rafael; McFadden, Emily; McLellan, Julie; Lung, Tom; Clarke, Philip; Pérez, Teresa; Fanshawe, Thomas; Dalton, Andrew; Farmer, Andrew; Glasziou, Paul; Takahashi, Osamu; Stevens, John; Irwig, Les; Hirst, Jennifer; Stevens, Sarah; Leslie, Asuka; Ohde, Sachiko; Deshpande, Gautam; Urayama, Kevin; Shine, Brian; Stevens, Richard.

In: Health Technology Assessment, Vol. 19, No. 100, 01.12.2015, p. 1-401, vii-viii.

Research output: Contribution to journalReview articleResearchpeer-review

TY - JOUR

T1 - Optimal strategies for monitoring lipid levels in patients at risk or with cardiovascular disease

T2 - A systematic review with statistical and cost-effectiveness modelling

AU - Perera, Rafael

AU - McFadden, Emily

AU - McLellan, Julie

AU - Lung, Tom

AU - Clarke, Philip

AU - Pérez, Teresa

AU - Fanshawe, Thomas

AU - Dalton, Andrew

AU - Farmer, Andrew

AU - Glasziou, Paul

AU - Takahashi, Osamu

AU - Stevens, John

AU - Irwig, Les

AU - Hirst, Jennifer

AU - Stevens, Sarah

AU - Leslie, Asuka

AU - Ohde, Sachiko

AU - Deshpande, Gautam

AU - Urayama, Kevin

AU - Shine, Brian

AU - Stevens, Richard

PY - 2015/12/1

Y1 - 2015/12/1

N2 - BACKGROUND: Various lipid measurements in monitoring/screening programmes can be used, alone or in cardiovascular risk scores, to guide treatment for prevention of cardiovascular disease (CVD). Because some changes in lipids are due to variability rather than true change, the value of lipid-monitoring strategies needs evaluation.OBJECTIVE: To determine clinical value and cost-effectiveness of different monitoring intervals and different lipid measures for primary and secondary prevention of CVD.DATA SOURCES: We searched databases and clinical trials registers from 2007 (including the Cochrane Central Register of Controlled Trials, MEDLINE, EMBASE, the Clinical Trials Register, the Current Controlled Trials register, and the Cumulative Index to Nursing and Allied Health Literature) to update and extend previous systematic reviews. Patient-level data from the Clinical Practice Research Datalink and St Luke's Hospital, Japan, were used in statistical modelling. Utilities and health-care costs were drawn from the literature.METHODS: In two meta-analyses, we used prospective studies to examine associations of lipids with CVD and mortality, and randomised controlled trials to estimate lipid-lowering effects of atorvastatin doses. Patient-level data were used to estimate progression and variability of lipid measurements over time, and hence to model lipid-monitoring strategies. Results are expressed as rates of true-/false-positive and true-/false-negative tests for high lipid or high CVD risk. We estimated incremental costs per quality-adjusted life-year.RESULTS: A total of 115 publications reported strength of association between different lipid measures and CVD events in 138 data sets. The summary adjusted hazard ratio per standard deviation of total cholesterol (TC) to high-density lipoprotein (HDL) cholesterol ratio was 1.25 (95% confidence interval 1.15 to 1.35) for CVD in a primary prevention population but heterogeneity was high (I(2) = 98%); similar results were observed for non-HDL cholesterol, apolipoprotein B and other ratio measures. Associations were smaller for other single lipid measures. Across 10 trials, low-dose atorvastatin (10 and 20 mg) effects ranged from a TC reduction of 0.92 mmol/l to 2.07 mmol/l, and low-density lipoprotein reduction of between 0.88 mmol/l and 1.86 mmol/l. Effects of 40 mg and 80 mg were reported by one trial each. For primary prevention, over a 3-year period, we estimate annual monitoring would unnecessarily treat 9 per 1000 more men (28 vs. 19 per 1000) and 5 per 1000 more women (17 vs. 12 per 1000) than monitoring every 3 years. However, annual monitoring would also undertreat 9 per 1000 fewer men (7 vs. 16 per 1000) and 4 per 1000 fewer women (7 vs. 11 per 1000) than monitoring at 3-year intervals. For secondary prevention, over a 3-year period, annual monitoring would increase unnecessary treatment changes by 66 per 1000 men and 31 per 1000 women, and decrease undertreatment by 29 per 1000 men and 28 per 1000 men, compared with monitoring every 3 years. In cost-effectiveness, strategies with increased screening/monitoring dominate. Exploratory analyses found that any unknown harms of statins would need utility decrements as large as 0.08 (men) to 0.11 (women) per statin user to reverse this finding in primary prevention.LIMITATION: Heterogeneity in meta-analyses.CONCLUSIONS: While acknowledging known and potential unknown harms of statins, we find that more frequent monitoring strategies are cost-effective compared with others. Regular lipid monitoring in those with and without CVD is likely to be beneficial to patients and to the health service. Future research should include trials of the benefits and harms of atorvastatin 40 and 80 mg, large-scale surveillance of statin safety, and investigation of the effect of monitoring on medication adherence.STUDY REGISTRATION: This study is registered as PROSPERO CRD42013003727.FUNDING: The National Institute for Health Research Health Technology Assessment programme.

AB - BACKGROUND: Various lipid measurements in monitoring/screening programmes can be used, alone or in cardiovascular risk scores, to guide treatment for prevention of cardiovascular disease (CVD). Because some changes in lipids are due to variability rather than true change, the value of lipid-monitoring strategies needs evaluation.OBJECTIVE: To determine clinical value and cost-effectiveness of different monitoring intervals and different lipid measures for primary and secondary prevention of CVD.DATA SOURCES: We searched databases and clinical trials registers from 2007 (including the Cochrane Central Register of Controlled Trials, MEDLINE, EMBASE, the Clinical Trials Register, the Current Controlled Trials register, and the Cumulative Index to Nursing and Allied Health Literature) to update and extend previous systematic reviews. Patient-level data from the Clinical Practice Research Datalink and St Luke's Hospital, Japan, were used in statistical modelling. Utilities and health-care costs were drawn from the literature.METHODS: In two meta-analyses, we used prospective studies to examine associations of lipids with CVD and mortality, and randomised controlled trials to estimate lipid-lowering effects of atorvastatin doses. Patient-level data were used to estimate progression and variability of lipid measurements over time, and hence to model lipid-monitoring strategies. Results are expressed as rates of true-/false-positive and true-/false-negative tests for high lipid or high CVD risk. We estimated incremental costs per quality-adjusted life-year.RESULTS: A total of 115 publications reported strength of association between different lipid measures and CVD events in 138 data sets. The summary adjusted hazard ratio per standard deviation of total cholesterol (TC) to high-density lipoprotein (HDL) cholesterol ratio was 1.25 (95% confidence interval 1.15 to 1.35) for CVD in a primary prevention population but heterogeneity was high (I(2) = 98%); similar results were observed for non-HDL cholesterol, apolipoprotein B and other ratio measures. Associations were smaller for other single lipid measures. Across 10 trials, low-dose atorvastatin (10 and 20 mg) effects ranged from a TC reduction of 0.92 mmol/l to 2.07 mmol/l, and low-density lipoprotein reduction of between 0.88 mmol/l and 1.86 mmol/l. Effects of 40 mg and 80 mg were reported by one trial each. For primary prevention, over a 3-year period, we estimate annual monitoring would unnecessarily treat 9 per 1000 more men (28 vs. 19 per 1000) and 5 per 1000 more women (17 vs. 12 per 1000) than monitoring every 3 years. However, annual monitoring would also undertreat 9 per 1000 fewer men (7 vs. 16 per 1000) and 4 per 1000 fewer women (7 vs. 11 per 1000) than monitoring at 3-year intervals. For secondary prevention, over a 3-year period, annual monitoring would increase unnecessary treatment changes by 66 per 1000 men and 31 per 1000 women, and decrease undertreatment by 29 per 1000 men and 28 per 1000 men, compared with monitoring every 3 years. In cost-effectiveness, strategies with increased screening/monitoring dominate. Exploratory analyses found that any unknown harms of statins would need utility decrements as large as 0.08 (men) to 0.11 (women) per statin user to reverse this finding in primary prevention.LIMITATION: Heterogeneity in meta-analyses.CONCLUSIONS: While acknowledging known and potential unknown harms of statins, we find that more frequent monitoring strategies are cost-effective compared with others. Regular lipid monitoring in those with and without CVD is likely to be beneficial to patients and to the health service. Future research should include trials of the benefits and harms of atorvastatin 40 and 80 mg, large-scale surveillance of statin safety, and investigation of the effect of monitoring on medication adherence.STUDY REGISTRATION: This study is registered as PROSPERO CRD42013003727.FUNDING: The National Institute for Health Research Health Technology Assessment programme.

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U2 - 10.3310/hta191000

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JO - Health Technology Assessment

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