Abstract
Background/Objectives
The optimal target systolic blood pressure (SBP) in older adults is uncertain; we evaluated the potential for gait speed to inform decision-making in this population.
Design
Forecasting study from 2014–2023 using the Cardiovascular Disease Policy Model, a Markov model.
Setting
U.S. adults, aged 60–94 years.
Participants
The population was stratified into fast walking, slow walking, and poor functioning (non-completers), based on measured gait speed in the National Health and Nutrition Examination Survey.
Intervention
We modeled lowering SBP to a target of 140 or 150 mmHg. We projected increased non-cardiovascular deaths in the slow walking and poor functioning, based on clinical trials and observational studies.
Measurements
Myocardial infarctions (MIs), strokes, deaths, cost, and disability-adjusted life years (DALYs).
Results
Regardless of gait speed, secondary prevention to a SBP of 140 mmHg is projected to prevent events and save money compared with 150 mmHg. Similarly, primary prevention to 140 mmHg in fast walking adults is projected to prevent events and save money. In slow walking adults, primary prevention to 150 mmHg is projected to prevent MIs and strokes and save DALYs, but is cost-saving only in men; intensification to 140 mmHg is of uncertain benefit in the slow walking. Primary prevention in poor functioning adults to either a target of 140 or 150 mmHg SBP is projected to decrease DALYs.
Conclusion
The most cost-effective SBP target varies by history of cardiovascular disease and gait speed among persons ages 60–94 years. Our projections highlight the need for improved estimates of the benefits and harms of antihypertensive medications among a diverse group of older adults, as the net benefit is sensitive to the characteristics of the population treated.
Keywords: Markov model, cost-benefit analysis, blood pressure, frailty, gait speed
INTRODUCTION
The most recent report from the members appointed to the Eighth Joint National Committee (JNC 8) recommended raising the target systolic blood pressure (SBP) from 140 to 150 mmHg in adults age 60 and older without diabetes or kidney disease. This change from the previous guideline was based on limited randomized controlled trial evidence for the benefits of lower SBP values, and concern about increased harms.(1) Some have questioned this recommendation because a higher treatment target may result in a lost opportunity to prevent cardiovascular disease (CVD) events in this population at higher absolute risk of cardiovascular disease.(2) In contrast, others have expressed concern that the overtreatment of BP in older adults would increase subsequent adverse events. (3)
Evidence on the balance of benefits and harms caused by lowering BP in older adults is mixed, and uncertainty is most pronounced for all-cause mortality. Although lowering BP results in CVD benefit in older adults included in trials, its effects on all-cause mortality have been variable.(4) Furthermore, some observational studies suggest an association of higher BP levels with lower mortality. (5–8)
Although advanced chronologic age has long been used to target higher-risk populations for CVD prevention, older adults comprise a heterogeneous population, and any given age cohort consists of a mixture of people who are successfully aging and those who are nearing death.(9) A standardized assessment of frailty can provide additional information on health status beyond chronologic age,(10, 11) and gait speed is an easily assessed proxy for frailty.(12–14) We have previously demonstrated that reduced gait speed or limitations in activities of daily living can stratify elders into those in whom higher BP is associated an increased risk of mortality and those for whom higher BP is associated with a lower risk of death.(15–17)
In this study, we used the Cardiovascular Disease Policy Model (CVDPM) – a population-based Markov model of U.S. adults - to project the hypothetical impact of gait speed on the population health benefit and cost-effectiveness of lowering SBP to two different targets, 150 mm Hg or 140 mm Hg, in community-dwelling adults aged 60 years and older.
METHODS
The Model
The Cardiovascular Disease Policy Model (CVDPM) is a state-transition (Markov) model of the incidence, prevalence, mortality, and cost of coronary heart disease and stroke in U.S. adults aged 35 to 94 years (see appendix); the Model has an annual cycle.(18) Additional details regarding the most recent version of the model have been published previously.(19) The present study was limited to adults aged 60–94 years.
Simulation Inputs
Performance on a 20-ft gait speed test was used as a surrogate marker for frailty, as described previously (Table 1).(16) This measure was included in the National Health and Nutrition Examination Survey (NHANES) years 1999–2002, and participants were classified as “fast walking” if their usual gait speed was ≥0.8 m/s, “slow walking” if their usual gait speed was <0.8 m/s, and “poor functioning” if they did not complete the timed gait speed test. These categories have been shown to correlate well with health status and risk of mortality.(16)
Table 1.
Inputs for Analysis
| Input | Reference | ||
|---|---|---|---|
| GAIT SPEED TEST PERFORMANCE | Poor Function (did not complete walk test) | Slow walking (usual walk speed <0·8 m/s) | |
| Women | NHANES (1999–2002)(35) | ||
| 60–74 | 7·4% | 21·3% | |
| 75–84 | 12·7% | 41·4% | |
| 85–94 | 20·3% | 59·3% | |
| Men | |||
| 60–74 | 6·5% | 12·7% | |
| 75–84 | 9·7% | 31·6% | |
| 85–94 | 23·8% | 51·3% | |
|
| |||
| EFFECTIVENESS | Pre-treatment Blood Pressure | ||
| Average Systolic Blood Pressure Lowering Effect (mmHg) | 140–150 mmHg | 150+ mmHg | Law et al. 2003 (20) |
| One Medication | 8·2 | 10·5 | |
| Two Medications | 19 | ||
| Three Medications | 28 | ||
| Effect of Blood Pressure Reduction per 10 mmHg | Age 60–74 | Age 75–94 | Law et al. 2009 (21) |
| RR of Coronary Events | 0·77 (0·74, 0·79) | 0·80 (0·77, 0·82) | |
| RR of Stroke | 0·69 (0·64, 0·74) | 0·77 (0·73, 0·81) | |
| RR of Non-CVD Death | Age 60–94 | Odden et al.15, NHANES (1999–2002)(35) | |
| Fast walking | 0·95 (0·86, 1·05) | ||
| Slow walking | 1·05 (0·98, 1·15) | ||
| Poor functioning | 1·13 (0·99, 1·28) | ||
|
| |||
| COSTS (2014 U.S. dollars) | |||
| Annual Cost of Drugs* | Low | Median | Red Book(23) |
| One Medication | $ 161 | $351 | |
| Two Medications | $ 231 | $548 | |
| Three Medications | $ 346 | $822 | |
| Monitoring Costs of Two Clinic Visits per Year | $ 146 | CMMS National Physician Fee Schedule(36) | |
| Annual Blood Test | $ 10 | CMMS Clinical Lab Fee Schedule(37) | |
| Hospitalization | |||
| Average Cost | $ 11,994 | National Inpatient Sample(38) | |
| High Cost | $ 20,680 | ||
|
| |||
| POTENTIAL ADVERSE EVENTS (per 100,000 person-years) | |||
| Common, outpatient management | |||
| One Medication | 5,200 | Law et al. 2009 (21) | |
| Two Medications | 7,600 | ||
| Three Medications | 10,000 | ||
| Infrequent, hospitalized | |||
| One Medication | 100 | Clinical Judgment† | |
| Two Medications | 146 | ||
| Three Medications | 193 | ||
| Rare/Severe, hospitalized | |||
| One Medication | 1·00 | Clinical Judgment† | |
| Two Medications | 1·46 | ||
| Three Medications | 1·93 | ||
| Death | |||
| One Medication | 0·0100 | Clinical Judgment† | |
| Two Medications | 0·0146 | ||
| Three Medications | 0·0193 | ||
|
| |||
| UTILITY | DALY weight penalty | Duration | |
| Drug side effect, outpatient | 0·23 | 1 day | Montgomery et al.(39) |
| Drug side effect, hospitalization | 0·50 | 1 day | Clinical Judgment |
| Acute stroke | 0·86 | 1 month | GBD 2010(40) |
| Chronic stroke survivors | 0·85 – 0·88‡ | 1 year | GBD 2010(40) |
| Acute myocardial infarction | 0·91 | 1 month | GBD 2010(40) |
| Acute unstable angina | 0·95 | 1 year | GBD 2010(40) |
| Chronic CHD | 0·91–0·98‡ | 1 year | GBD 2010(40) |
Average of low prices across classes; includes dispensing fee
We assumed the ratio of adverse events across number of medications was constant across severity of events
Range depends on whether event co-occurs with another event
We estimated the effect of each medication on change in SBP based on a meta-analysis of randomized trials (Table 1).(20) We modeled equivalent SBP lowering across classes when comparing standard doses, and projected each standard dose had an effect on SBP equivalent to (9.1 + 0.10*[SBP-154]) where SBP is the level prior to adding the dose.(20, 21) We assumed that multiple doses would be required to reach the target SBP in some patients, but reductions from successively added agents were based on the lower SBP resulting from prior drugs.(20)
We modeled the effect of SBP lowering on coronary and stroke outcomes based on a large meta-analysis of randomized trials (Table 1). (21, 22) The effect of SBP lowering on non-CVD death (defined as non-coronary and non-stroke death) is uncertain in the 60 years and older population. In the Systolic Hypertension in the Elderly Program, there was a small, and non-statistically significant adverse effect of BP lowering on non-CVD mortality (hazard ratio [HR]: 1.05, 95% 0.80, 1.38). In a meta-analysis of randomized controlled trials in participants age 80 and older, BP treatment also was associated with a non-statistically significant increased relative risk of 1.06 on total mortality (95% CI: 0.89, 1.25); the effect on non-CVD mortality was not reported. Because no frailty-stratified trial estimates for the effect of BP lowering are available, we estimated the association between SBP and non-CVD mortality based on competing risk regression in NHANES (Table 1). Notably, the overall relative risk of total mortality estimated from this observational data analysis in the 80 and older adults was further in the protective direction compared with the clinical trials meta-analysis estimate, suggesting our estimates are conservative. (Appendix)
BP lowering costs included antihypertensive medications, monitoring of treatment effects, and the cost of monitoring and treatment side effects. Consistent with trial-based effectiveness inputs, we used a 75% medication adherence rate based on clinical trial data.(21) Medication costs were averages of lowest “Redbook” 2010 average wholesale prices for numbers of standard doses across drug classes, using combination pills when available.(23) Rates of adverse events from medication side effects were based on a meta-analysis of treatment trials for more common events (20) and post-marketing reports for rarer events. Adverse event rates ranged from mild symptoms, amenable to outpatient management, to death; and non-fatal adverse events were translated into quality of life impairments and added costs. All disability weights associated with coronary and stroke event states were based on the Global Burden of Disease Study.(24)
The value of BP lowering in older adults was assessed by dividing incremental changes in costs by incremental changes in disability-adjusted life years (DALYs). An intervention was defined to be of high value if the cost to extend one DALY was less than $50,000, intermediate value if the cost was $50,000 to less than $150,000, and low value if the cost were greater than or equal to $150,000.(25)
Simulations
We assessed the costs and effectiveness of interventions from 2014 through 2023 from the health care system perspective. Costs and DALYs were discounted at 3%/year. Younger persons were not allowed to age into this cohort, so that the only changes in the size of the population were due to mortality. We did not model outcomes among the few survivors who reached age 95 years because of insufficient data; those who achieved this age did not accrue further costs or events in our model. We modeled the impact of treatment to two targets, 150 mmHg and 140 mmHg, for secondary and primary prevention. We stratified the population based on age (60–74 and 75–94 years), sex, and gait speed (fast walking, slow walking, poor functioning).
Since controversy exists as to whether adults aged 60 and older gain the same benefit from SBP lowering in the range below 150 mmHg as in the SBP range above 150 mmHg, one-way sensitivity analyses were conducted assuming one-half and one-quarter the relative risk reduction of lowering SBP to below 140 mmHg compared with lowering it to below 150 mmHg. We also completed a one-way sensitivity analysis assuming median “Redbook” costs of antihypertensive medications. Additionally, we used two-way deterministic sensitivity analyses to examine variation in two parameters: 1) the relative risk of treatment on prevention of CHD and stroke, and 2) the relative risk of treatment on non-CVD mortality. For the “best-case” scenario we used the high 95% CI bound for the relative risk of treatment on prevention of CHD and stroke, and low 95% CI bound for the relative risk of treatment on non-CVD mortality. For the “worst-case” scenario, we used the opposite. Additionally, we used probabilistic sensitivity analyses, and we completed a Monte Carlo simulation with 2000 replications to estimate the variation in the incremental cost-effectiveness ratios accounting for the variation in these two parameters. The natural logarithm of these parameters were assumed to be normally distributed.
RESULTS
The approximately 64 million adults ages 60–94 years of age in the U.S. in 2014 are expected to accrue 4.2 million MIs and 5.4 million strokes over the next 10 years if current CVD risk factor levels remain unchanged. The prevalence of slow walkers ranged from 12.7% in men aged 60–74 years to 59.3% in women aged 85 years and older, and the prevalence of poor functioning adults ranged from 6.5% in men aged 60–74 years to 23.8% in men 85 years and older (Table 1).
Secondary Prevention
Secondary prevention, in which all adults with pre-existing CHD or stroke are treated to a SBP target of 150 mmHg, was projected to prevent events, regardless of gait speed. Overall, this strategy was projected to avoid approximately 244,000 MIs and 346,000 strokes and to be cost saving (Table 2). Treatment to a lower secondary prevention target of 140 mmHg would avoid an additional 83,000 MI and 116,000 strokes and save even more money (Table 2).
Table 2.
Projected impact of systolic blood pressure lowering to a target of 150 and 140 mmHg across gait speed, from 2014–2023, among persons with a history of coronary heart disease or stroke (Secondary prevention)
| Secondary Prevention Target 150 mmHg | Total MI Prevented (Status Quo = 4,100,000) | Total Stroke Prevented (Status Quo = 5,400,000) | Total Cost (millions) (Status Quo = $7,000,000) | Total DALY Saved (Status Quo = 466,000,000) | CER to Baseline* |
|---|---|---|---|---|---|
| WOMEN | |||||
| 60–74 Years | |||||
| Fast walking† 150 mmHg | 28,000 | 41,000 | −$2,400 | 84,000 | Cost-saving |
| Slow walking† 150 mmHg | 27,000 | 40,000 | −$2,400 | 79,000 | Cost-saving |
| Poor functioning† 150 mmHg | 5,000 | 7,000 | −$400 | 15,000 | Cost-saving |
| 75–94 Years | |||||
| Fast walking† 150 mmHg | 17,000 | 26,000 | −$300 | 109,000 | Cost-saving |
| Slow walking† 150 mmHg | 48,000 | 69,000 | −$1,200 | 294,000 | Cost-saving |
| Poor functioning† 150 mmHg | 9,000 | 12,000 | −$200 | 53,000 | Cost-saving |
| MEN | |||||
| 60–74 Years | |||||
| Fast walking† 150 mmHg | 43,000 | 57,000 | −$7,000 | 149,000 | Cost-saving |
| Slow walking† 150 mmHg | 16,000 | 23,000 | −$2,600 | 54,000 | Cost-saving |
| Poor functioning† 150 mmHg | 3,000 | 4,000 | −$400 | 9,000 | Cost-saving |
| 75–94 Years | |||||
| Fast walking† 150 mmHg | 18,000 | 26,000 | −$1,500 | 117,000 | Cost-saving |
| Slow walking† 150 mmHg | 24,000 | 33,000 | −$1,900 | 147,000 | Cost-saving |
| Poor functioning† 150 mmHg | 6,000 | 8,000 | −$460 | 37,000 | Cost-saving |
|
| |||||
| TOTAL | 244,000 | 346,000 | −$20,760 | 1,147,000 | Cost-saving |
| Secondary Prevention Target 140 mmHg vs. 150 mmHg | Additional MI Prevented | Additional Stroke Prevented | Additional Cost (millions) | Additional DALY | ICER Comparing 140 vs. 150 mmHg |
|---|---|---|---|---|---|
| WOMEN | |||||
| 60–74 Years | |||||
| Fast walking† 140 mmHg | 10,000 | 14,000 | −$700 | 30,000 | Cost-saving |
| Slow walking† 140 mmHg | 7,000 | 11,000 | −$600 | 20,000 | Cost-saving |
| Poor functioning† 140 mmHg | 2,000 | 3,000 | −$200 | 5,000 | Cost-saving |
| 75–94 Years | |||||
| Fast walking† 140 mmHg | 6,000 | 8,000 | −$100 | 35,000 | Cost-saving |
| Slow walking† 140 mmHg | 10,000 | 16,000 | −$300 | 66,000 | Cost-saving |
| Poor functioning† 140 mmHg | 2,000 | 4,000 | −$40 | 17,000 | Cost-saving |
| MEN | |||||
| 60–74 Years | |||||
| Fast walking† 140 mmHg | 20,000 | 26,000 | −$2,700 | 68,000 | Cost-saving |
| Slow walking† 140 mmHg | 6,000 | 7,000 | −$800 | 17,000 | Cost-saving |
| Poor functioning† 140 mmHg | 1,000 | 1,000 | −$200 | 4,000 | Cost-saving |
| 75–94 Years | |||||
| Fast walking† 140 mmHg | 8,000 | 12,000 | −$500 | 51,000 | Cost-saving |
| Slow walking† 140 mmHg | 9,000 | 11,000 | −$600 | 50,000 | Cost-saving |
| Poor functioning† 140 mmHg | 2,000 | 3,000 | −$130 | 13,000 | Cost-saving |
|
| |||||
| TOTAL | 83,000 | 116,000 | −$6,870 | 376,000 | Cost-saving |
Results reported as cost-saving had lower costs and increased DALYs
Participants were classified as “fast walking” if their usual gait speed was ≥0.8 m/s, “slow walking” if their usual gait speed was <0.8 m/s, and “poor functioning” if they did not complete the timed gait speed test.
MI = myocardial infarction, DALY = disability-adjusted life-year, CER = cost-effectiveness ratio, ICER = incremental cost-effectiveness ratio
Primary Prevention
When added to a secondary prevention goal of 140 mmHg, a primary prevention goal of 150 mmHg would prevent an additional 178,000 MIs and 307,000 strokes in fast walking women and men aged 60–94 years (Table 3). Intensifying the primary prevention goal to 140 mmHg in fast walking men and women would prevent an additional 68,000 MIs and 99,000 strokes, and would be even more cost-saving.
Table 3.
Projected impact of systolic blood pressure lowering to a target of 150 and 140 mmHg across gait speed, from 2014–2023, among persons without a history of coronary heart disease or stroke (Primary prevention)
| Primary Prevention Target 150 mmHg | Total MI Prevented (Status Quo = 4,100,000) | Total Stroke Prevented (Status Quo = 5,400,000) | Total Cost (millions) (Status Quo = $7,000,000) | Total DALY Saved (Status Quo = 466,000,000) | CER to Baseline* |
|---|---|---|---|---|---|
| WOMEN | |||||
| 60–74 Years | |||||
| Fast walking† 150 mmHg | 55,000 | 125,000 | −$11,600 | 312,000 | Cost-saving |
| Slow walking† 150 mmHg | 44,000 | 92,000 | $2,700 | 60,000 | $45,000 |
| Poor functioning† 150 mmHg | 11,000 | 24,000 | $2,700 | −7,000 | DALY Loss |
| 75–94 Years | |||||
| Fast walking† 150 mmHg | 25,000 | 41,000 | −$2,400 | 223,000 | Cost-saving |
| Slow walking† 150 mmHg | 79,000 | 114,000 | $4,500 | 83,000 | $54,000 |
| Poor functioning† 150 mmHg | 18,000 | 26,000 | $3,000 | −41,000 | DALY Loss |
| MEN | |||||
| 60–74 Years | |||||
| Fast walking† 150 mmHg | 78,000 | 119,000 | −$14,100 | 327,000 | Cost-saving |
| Slow walking† 150 mmHg | 29,000 | 43,000 | −$1,300 | 39,600 | Cost-saving |
| Poor functioning† 150 mmHg | 5,000 | 7,000 | $200 | 371 | $540,000 |
| 75–94 Years | |||||
| Fast walking† 150 mmHg | 20,000 | 22,000 | −$2,000 | 146,000 | Cost-saving |
| Slow walking† 150 mmHg | 34,000 | 32,000 | −$300 | 33,000 | Cost-saving |
| Poor functioning† 150 mmHg | 9,000 | 8,000 | $600 | −15,000 | DALY Loss |
|
| |||||
| TOTAL | 407,000 | 653,000 | −$18,000 | 1,160,971 | Cost-saving |
| Primary Prevention Target 140 mmHg vs. 150 mmHg | Additional MI Prevented | Additional Stroke Prevented | Additional Cost (millions) | Additional DALY | ICER Comparing 140 vs. 150 mmHg |
|---|---|---|---|---|---|
| WOMEN | |||||
| 60–74 Years | |||||
| Fast walking† 140 mmHg | 19,000 | 36,000 | −$1,900 | 116,000 | Cost-saving |
| Slow walking† 140 mmHg | 11,000 | 19,000 | $2,700 | 4,000 | $680,000 |
| Poor functioning† 140 mmHg | 3,000 | 7,000 | $2,000 | −12,000 | DALY Loss |
| 75–94 Years | |||||
| Fast walking† 140 mmHg | 8,000 | 11,000 | −$500 | 75,000 | Cost-saving |
| Slow walking† 140 mmHg | 16,000 | 22,000 | $1,800 | −7,000 | DALY Loss |
| Poor functioning† 140 mmHg | 5,000 | 7,000 | $1,400 | −33,000 | DALY Loss |
| MEN | |||||
| 60–74 Years | |||||
| Fast walking† 140 mmHg | 33,000 | 44,000 | −$4,000 | 152,000 | Cost-saving |
| Slow walking† 140 mmHg | 9,000 | 12,000 | $400 | 7,000 | $57,000 |
| Poor functioning† 140 mmHg | 3,000 | 4,000 | $500 | −3,400 | DALY Loss |
| 75–94 Years | |||||
| Fast walking† 140 mmHg | 8,000 | 8,000 | −$700 | 67,000 | Cost-saving |
| Slow walking† 140 mmHg | 11,000 | 9,000 | $300 | 2,000 | $150,000 |
| Poor functioning† 140 mmHg | 4,000 | 3,000 | $300 | −11,000 | DALY Loss |
|
| |||||
| TOTAL | 130,000 | 182,000 | $2,300 | 356,600 | $6,000 |
Results reported as cost-saving had lower costs and increased DALYs
Participants were classified as “fast walking” if their usual gait speed was ≥0.8 m/s, “slow walking” if their usual gait speed was <0.8 m/s, and “poor functioning” if they did not complete the timed gait speed test.
MI = myocardial infarction, DALY = disability-adjusted life-year, CER = cost-effectiveness ratio, ICER = incremental cost-effectiveness ratio
Extending primary prevention to slow walking men and women was projected to prevent MIs and strokes and save DALYs, although the benefits varied by sex (Table 3, Figure 1). In slow walking men aged 60–94 years, treatment to a SBP of 150 mmHg appeared cost-saving, and intensification to a target of 140 mmHg appeared to be of intermediate value (incremental cost effectiveness ratio (ICER) = $78,000). (Figure 1) In slow walking women aged 60–94 years, primary prevention to a target of 150 mmHg was also projected to prevent events and save DALYs, and be of high value (ICER = $50,000). In women, intensifying primary prevention to a goal of 140 mmHg appeared to be of low value in ages 60–74 years, and potentially result in a net DALY loss in ages 75–94 years.
Figure 1.
Treatment Decision algorithm
Decision algorithm is based on simulated prevented events and ICER and guided by gait speed, Simulation was run from 2014–2023 the CVD Policy Model
SBP: Systolic blood pressure
DALY: Disability adjusted life years
ICER: Incremental cost effectiveness ratio
MI: Myocardial infarction
Primary prevention in poor functioning adults was projected to result in a net increase in mortality and loss of DALYs in nearly all sub-groups at both the 150 mmHg and 140 mmHg treatment targets, with the exception of poor functioning men age 60–74 years treated to a target of 150 mmHg. Treatment of poor functioning older adults of any age to either a 150 mmHg or 140 mmHg target was not cost-effective.
Sensitivity Analysis
If the effectiveness of lowering SBP from <150mmHg to <140 mmHg is one-half of the effectiveness of lowering from >150 mmHg to <150 mmHg, intensifying secondary prevention to a target of 140 mmHg would remain cost effective at high value in men and women ($600/DALY and $15,000/DALY, respectively). Under this scenario, primary prevention to a target of 140 mmHg would be cost-effective at high value in fast walking men and women aged 75–94 years ($18,000/DALY and $21,000/DALY), and of intermediate value in fast walking women aged 60–74 years ($71,000/DALY). In addition, intensification of primary prevention to a target of 140 in slow walking men aged 60–94 years and women aged 60–74 years would not be cost effective, and is projected to result in a net loss of DALYs in slow walking women aged 75–94 years and poor functioning adults aged 60–94 years.
If the effectiveness of lowering SBP to <140 mmHg is one-fourth of the effectiveness of lowering to <150 mmHg, intensifying secondary prevention to a target of 140 mmHg would be cost-effective only in men aged 75–94 years ($130,000/DALY). Under this scenario, primary prevention would be cost-effective only in fast walking men aged 75–94 years ($120,000/DALY). Additionally, intensification to 140 mmHg would be not cost effective or result in a net loss of DALYs in all other groups for secondary or primary prevention.
In a sensitivity analysis using the median drug prices, the qualitative findings are unchanged. Secondary prevention and primary prevention in fast walking elders remain cost-saving or highly cost-effective in all groups. (Table S1) The cost-effectiveness in slow walking elders remains of uncertain benefit, and primary prevention is associated with harm in the poorest functioning elders.
In two-way deterministic sensitivity analyses across variations in effectiveness on CVD-events and the risk on non-CVD death, we found that under the best-case scenario, primary prevention to a target of 140 mmHg in all populations except poor functioning women aged 75–94 years was cost-saving; among this population it was associated with a loss of DALYs. In the worse-case scenario, primary prevention to a target of 150 mmHg was only cost-effective at high value in fast walking and slow walking men aged 60–74 years, and fast walking men aged 75–94 years. In this worst-case scenario, primary prevention to a target of 140 mmHg was cost-effective in no one.
Probabilistic Analysis
In probabilistic sensitivity analyses, primary prevention in fast walking older adults was cost-saving across variations in effectiveness on CVD-events and the risk on non-CVD death. In fast walking elders, 93% of estimates were cost-saving and 98% were of high value (<$50,000 per DALY). The estimates for the cost per DALY saved in slow walking men treated to a target of 150 mmHg were also relatively stable; over 70% of ICER simulations were cost-saving, and 80% were high value. In comparison, estimates for slow walking men intensified to a target of 140 mmHg and primary prevention in slow walking women were sensitive to variations in effectiveness and risk of non-CVD death; only 47% and 51% of the estimates respectively, were high value. Only 14% of the estimates for primary prevention in poor functioning older adults were of high value, even when using a target of 150 mmHg, and 75% of estimates were of a net loss of DALYs.
DISCUSSION
Based on currently available data, we project that the optimal SBP target varies by history of CVD and gait speed among persons ages 60–94 years. Our projections highlight the need for improved estimates of both the benefits and harms of antihypertensive medication use among a diverse group of older adults, as the net benefit is sensitive to the characteristics of the population treated and the incremental benefit of intensifying treatment to a SBP target below 140 mmHg. If the benefit gained is similar to that observed in clinical trials, secondary prevention to a SBP target of 140 mmHg appears to be cost-saving compared with a 150 mmHg target regardless of gait speed, and primary prevention treatment of all fast walking older adults to a target of 140 mmHg is projected to prevent more events and save more DALY’s compared with a target of 150 mmHg. By contrast, primary prevention to either 150 mmHg or 140 mmHg is projected to result in a net loss of life among poor functioning older adults. The balance of risk and benefit in slow walking older adults is nuanced, with variations in effectiveness and cost-effectiveness across age, sex, and treatment categories.
There is controversy regarding the benefit of BP lowering in older adults. (1–3, 26, 27) Epidemiologic evidence shows an inverted association between BP and mortality, where higher BP is associated with a lower risk of death, especially over age 80 years. (5–7) Data from randomized controlled trials of antihypertensive drug therapy, however, are inconsistent especially in the very old. The Hypertension in the Very Elderly Trial (HYVET), which included healthy participants age 80 and older, reported a benefit of antihypertensive therapy on all-cause mortality.(28) Nevertheless, a recent meta-analysis of trials in adults aged ≥80 years found no effect of BP treatment on all-cause mortality (relative risk 1.06 (95% confidence interval (CI): 0.89, 1.25), and significant heterogeneity between HYVET and the other trials.(4) Additionally, the population included in HYVET may not be generalizable to the usual population of adults aged 80 years and older in the U.S. (3, 29)
We have previously demonstrated that the prevalence of frailty, as captured by gait speed, may explain this heterogeneity. In NHANES, performance on a 20-ft walk test stratified participants into those in whom higher blood pressure appeared harmful and those in whom it appeared protective.(16) Similar effect modification by frailty status has been observed for CVD outcomes and mortality when frailty was assessed by self-reported walking speed, limitations in activities of daily living, or cognitive function. (15, 17, 30)
Unlike in younger adults, the pathophysiology of hypertension in the very old or in frail older adults is not well understood. (31) The exact manner by which BP lowering may increases harm in frail older adults is not known, but several mechanisms have been postulated. A recent investigation of Medicare enrollees reported an increased risk of serious fall injuries among persons aged 70 years and older treated with antihypertensive medications.(32) An increased risk of fall and fracture may initiate a cascade of events in frail older adults that could result in hospitalization and even death. Frailty may be associated with compromised hemodynamic regulation, vascular stiffening, and sensitivity to central hypotension. Low central BP could result in insufficient cerebral, myocardial, or renal perfusion. A low diastolic BP may be especially problematic because the heart is perfused during diastole.(17) Others have noted the challenges with accurate measurement of BP in older adults, including the presence of orthostatic hypotention, pseudohypertension, postprandial hypertension, and sleep apnea.(3) Measurement error in BP could contribute to the overtreatment of older adults who have normal ambient daytime blood pressure levels.
BP treatment guidelines are important in older adults, as they are often at a higher risk of disease compared with their younger counterparts. However, primary prevention strategies that treat older adults as a single group and neglect the important heterogeneity of older adults may result in treatment strategies that result in benefit in one group and harm in another.(33) Our findings suggest that gait speed may be a useful tool for risk-stratification. Recently, the Mobility Working Group recommended that gait speed be routinely assessed and documented in the health record as a “vital sign.” (34) Clinical trial data are needed to evaluate the role of frailty in clinical decision making, but in the interim, this analysis can help inform stakeholders on the potential benefit and harms of BP treatment in older slow walking and poor functioning adults.
Our estimates depend on several assumptions that could impact our findings. First, we assumed a linear effect of BP lowering on the risk of CHD, stroke, and mortality in persons with SBPs above 140 mmHg. The recent 2014 Guidelines for Management of High Blood Pressure and the Minority View highlight the controversy regarding this assumption and have concluded that more research is needed to distinguish whether the benefit of SBP control is linear above 140 mmHg or if a higher threshold exists.(1, 2) To address this concern, we conducted sensitivity analyses using an attenuated benefit of lowering SBP below 150 mmHg; if the effectiveness of lowering SBP to <140 mmHg is one-fourth of the effectiveness of lowering to <150 mmHg, intensification to 140 mmHg appears beneficial only in fast walking older men. Second, we assumed that gait speed as measured in NHANES is a valid proxy for frailty, as has been demonstrated by previous literature in the field.(12–14, 16) It is possible that other measurements or biomarkers may better stratify individuals into robust, pre-frail, and frail populations. Nevertheless, gait speed is easy and inexpensive to measure in clinical practice, and is strongly predictive of mortality.(11) Third, we modeled the harms associated with BP lowering by estimating the incidence of rare documented side effects of medication use or of non-CVD mortality. Other potential harms, such as increased risk of falls and fractures and the adverse effects of polypharmacy, were not explicitly modeled, although deaths related to these types of harms would be represented by our estimates of non-CVD death. Further treatment harms such as postural hypotension, near syncope, falls, and related injuries would reduce the benefit of antihypertensive therapy, especially among those at highest risk for these events. Fourth, we assumed effectiveness and adherence rates similar to clinical trials, although real world values of these parameters may vary by patient characteristics. Fifth, although gait speed may identify more homogenous groups, there remains heterogeneity within a given group, and those at the lowest end of the health spectrum may be at risk of treatment-related harm, even in the setting of secondary prevention. Finally, we assumed that the effectiveness of antihypertensives on CHD and stroke, costs, and quality of life associated with CVD events were the same for frail and non-frail elders. Although it is possible that the prevalence of frailty may modify these parameters, we believe there is insufficient evidence to make alternative assumptions. Although our simulations incorporate the best available data, future research on these parameters among elders with diverse health status are necessary to make informed clinical recommendations.
In summary, health status as captured by age, sex, history of CVD, and gait speed has an important impact on the balance of benefit and harms of BP lowering in older adults. Although primary prevention appears cost-saving in fast walking older adults, it appears to be associated with net harm in poor functioning older adults. Our research demonstrates the need for more data on the effectiveness and adverse effects of BP lowering in a functionally diverse population that is representative of older adults who are potentially eligible for antihypertensive medications.
Supplementary Material
Acknowledgments
This research was supported by the American Heart Association Western States Affiliate (11CRP7210088), American Heart Association Founder’s Affiliate Clinical Research Program Award (10CRP4140089), the National Institute on Aging (K01AG039387), the National Heart, Lung, and Blood Institute (R01HL107475), the National Institute for Neurological Disorders and Stroke (U54NS081760), and the National Institute on Diabetes and Digestive and Kidney Diseases (K24DK103992).
We thank Larry Williams, David Guzman, MS and Diva Thekkethala for their assistance with this project.
Footnotes
Conflict of Interest: The editor in chief has reviewed the conflict of interest checklist provided by the authors and has determined that the authors have no financial or any other kind of personal conflicts with this paper.
Kirsten Bibbins-Domingo is a member of the United States Preventive Services Task Force (USPSTF) and current co-Vice Chair. This work does not necessarily represent the views and policies of the USPSTF.
Author Contributions: Authors contributed to the following roles: study concept and design (Michelle C. Odden, Andrew E. Moran, Lee Goldman, Kirsten Bibbins-Domingo), acquisition of subjects and/or data (Michelle C. Odden, Andrew E. Moran, Pamela G. Coxson, Lee Goldman, Kirsten Bibbins-Domingo), analysis of data (Michelle C. Odden, Pamela G. Coxson), interpretation of data and results (Michelle C. Odden, Andrew E. Moran, Pamela G. Coxson, Carmen A. Peralta, Lee Goldman, Kirsten Bibbins-Domingo), preparation of manuscript (Michelle C. Odden, Andrew E. Moran, Pamela G. Coxson, Carmen A. Peralta, Lee Goldman, Kirsten Bibbins-Domingo), and revision of manuscript (Michelle C. Odden, Andrew E. Moran, Pamela G. Coxson, Carmen A. Peralta, Lee Goldman, Kirsten Bibbins-Domingo).
Sponsor’s Role: The sponsor had no role in the design or conduct of the study, analysis or interpretation of data, or preparation of the manuscript
References
- 1.James PA, Oparil S, Carter BL, et al. 2014 evidence-based guideline for the management of high blood pressure in adults: Report from the panel members appointed to the Eighth Joint National Committee (JNC 8) JAMA. 2014;311:507–520. doi: 10.1001/jama.2013.284427. [DOI] [PubMed] [Google Scholar]
- 2.Wright JT, Jr, Fine LJ, Lackland DT, et al. Evidence supporting a systolic blood pressure goal of less than 150 mmHg in patients aged 60 years or older: The minority view. Ann Intern Med. 2014;160:499–503. doi: 10.7326/M13-2981. [DOI] [PubMed] [Google Scholar]
- 3.Morley JE. Systolic hypertension should not be treated in persons aged 80 and older until blood pressure is greater than 160 mmHg. J Am Geriatr Soc. 2013;61:1197–1198. doi: 10.1111/jgs.12322_1. [DOI] [PubMed] [Google Scholar]
- 4.Bejan-Angoulvant T, Saadatian-Elahi M, Wright JM, et al. Treatment of hypertension in patients 80 years and older: The lower the better? A meta-analysis of randomized controlled trials. J Hypertens. 2010;28:1366–1372. doi: 10.1097/HJH.0b013e328339f9c5. [DOI] [PubMed] [Google Scholar]
- 5.Mattila K, Haavisto M, Rajala S, et al. Blood pressure and five year survival in the very old. Br Med J (Clin Res Ed) 1988;296:887–889. doi: 10.1136/bmj.296.6626.887. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Satish S, Freeman DH, Jr, Ray L, et al. The relationship between blood pressure and mortality in the oldest old. J Am Geriatr Soc. 2001;49:367–374. doi: 10.1046/j.1532-5415.2001.49078.x. [DOI] [PubMed] [Google Scholar]
- 7.Rastas S, Pirttila T, Viramo P, et al. Association between blood pressure and survival over 9 years in a general population aged 85 and older. J Am Geriatr Soc. 2006;54:912–918. doi: 10.1111/j.1532-5415.2006.00742.x. [DOI] [PubMed] [Google Scholar]
- 8.Cupples LA, D’Agostino R. Some risk factors related to the annual incidence of cardiovascular disease and death using pooled repeated biennial measurements: Framingham Heart Study, 30-year follow-up. In: Kannel WB, Wolf PA, Garnson RJ, editors. The Framingham Study: An Epidemiological Investigation of Cardiovascular Disease, Section 34. Washington, D.C: National Heart, Lung and Blood Institute, U.S. Dept of Health and Human Services Public Health Services; 1987. [Google Scholar]
- 9.Diehr P, Williamson J, Burke GL, et al. The aging and dying processes and the health of older adults. J Clin Epidemiol. 2002;55:269–278. doi: 10.1016/s0895-4356(01)00462-0. [DOI] [PubMed] [Google Scholar]
- 10.Fried LP, Tangen CM, Walston J, et al. Frailty in older adults: Evidence for a phenotype. J Gerontol A Biol Sci Med Sci. 2001;56A:M146–156. doi: 10.1093/gerona/56.3.m146. [DOI] [PubMed] [Google Scholar]
- 11.Studenski S, Perera S, Patel K, et al. Gait speed and survival in older adults. JAMA. 2011;305:50–58. doi: 10.1001/jama.2010.1923. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Cooper R, Kuh D, Hardy R. Objectively measured physical capability levels and mortality: Systematic review and meta-analysis. BMJ. 2010;341:c4467. doi: 10.1136/bmj.c4467. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Purser JL, Kuchibhatla MN, Fillenbaum GG, et al. Identifying frailty in hospitalized older adults with significant coronary artery disease. J Am Geriatr Soc. 2006;54:1674–1681. doi: 10.1111/j.1532-5415.2006.00914.x. [DOI] [PubMed] [Google Scholar]
- 14.Rothman MD, Leo-Summers L, Gill TM. Prognostic significance of potential frailty criteria. J Am Geriatr Soc. 2008;56:2211–2216. doi: 10.1111/j.1532-5415.2008.02008.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Odden MC, Covinsky KE, Neuhaus JM, et al. The association of blood pressure and mortality differs by self-reported walking speed in older Latinos. J Gerontol A Biol Sci Med Sci. 2012;67:977–983. doi: 10.1093/gerona/glr245. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Odden MC, Peralta CA, Haan MN, et al. Rethinking the association of high blood pressure with mortality in elderly adults: The impact of frailty. Arch Intern Med. 2012;172:1162–1168. doi: 10.1001/archinternmed.2012.2555. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Peralta CA, Katz R, Newman AB, et al. Systolic and diastolic blood pressure, incident cardiovascular events, and death in elderly persons: The role of functional limitation in the Cardiovascular Health Study. Hypertension. 2014;64:472–480. doi: 10.1161/HYPERTENSIONAHA.114.03831. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Weinstein MC, Coxson PG, Williams LW, et al. Forecasting coronary heart disease incidence, mortality, and cost: The Coronary Heart Disease Policy Model. Am J Public Health. 1987;77:1417–1426. doi: 10.2105/ajph.77.11.1417. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Moran AE, Odden MC, Thanataveerat A, et al. Cost-effectiveness of hypertension therapy according to 2014 guidelines. N Engl J Med. 2015;372:447–455. doi: 10.1056/NEJMsa1406751. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Law MR, Wald NJ, Morris JK, et al. Value of low dose combination treatment with blood pressure lowering drugs: Analysis of 354 randomised trials. BMJ. 2003;326:1427. doi: 10.1136/bmj.326.7404.1427. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Law MR, Morris JK, Wald NJ. Use of blood pressure lowering drugs in the prevention of cardiovascular disease: Meta-analysis of 147 randomised trials in the context of expectations from prospective epidemiological studies. BMJ. 2009;338:b1665. doi: 10.1136/bmj.b1665. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Moran AE, Odden MC, Thanataveerat A, et al. Cost-effectiveness of hypertension treatment according to 2014 guidelines in U.S. adults: The Cardiovascular Disease Policy Model. N Engl J Med. 2015;372:447–455. doi: 10.1056/NEJMsa1406751. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Red Book Drug References. [Accessed May 2, 2014];2014 Available at: http://redbook.com/redbook/awp/
- 24.Salomon JA. New disability weights for the global burden of disease. Bull World Health Organ. 2010;88:879. doi: 10.2471/BLT.10.084301. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Anderson JL, Heidenreich PA, Barnett PG, et al. ACC/AHA Statement on Cost/Value Methodology in Clinical Practice Guidelines and Performance Measures: A report of the American College of Cardiology/American Heart Association Task Force on Performance Measures and Task Force on Practice Guidelines. Circulation. 2014 doi: 10.1016/j.jacc.2014.03.016. [DOI] [PubMed] [Google Scholar]
- 26.Goodwin JS. Embracing complexity: A consideration of hypertension in the very old. J Gerontol A Biol Sci Med Sci. 2003;58A:653–658. doi: 10.1093/gerona/58.7.m653. [DOI] [PubMed] [Google Scholar]
- 27.Supiano MA. Healthy people aged 80 and older with systolic blood pressure greater than 150 mmHg should be treated. J Am Geriatr Soc. 2013;61:1199–1220. doi: 10.1111/jgs.12322_2. [DOI] [PubMed] [Google Scholar]
- 28.Beckett NS, Peters R, Fletcher AE, et al. Treatment of hypertension in patients 80 years of age or older. N Engl J Med. 2008;358:1887–1898. doi: 10.1056/NEJMoa0801369. [DOI] [PubMed] [Google Scholar]
- 29.Odden MC, Peralta CA, Covinsky KE. Walking speed is a useful marker of frailty in older persons--reply. JAMA Intern Med. 2013;173:325–326. doi: 10.1001/jamainternmed.2013.2542. [DOI] [PubMed] [Google Scholar]
- 30.Sabayan B, van Vliet P, de Ruijter W, et al. High blood pressure, physical and cognitive function, and risk of stroke in the oldest old: The Leiden 85-plus Study. Stroke. 2013;44:15–20. doi: 10.1161/STROKEAHA.112.663062. [DOI] [PubMed] [Google Scholar]
- 31.Muller M, Smulders YM, de Leeuw PW, et al. Treatment of hypertension in the oldest old: A critical role for frailty? Hypertension. 2014;63:433–441. doi: 10.1161/HYPERTENSIONAHA.113.00911. [DOI] [PubMed] [Google Scholar]
- 32.Tinetti ME, Han L, Lee DS, et al. Antihypertensive medications and serious fall injuries in a nationally representative sample of older adults. JAMA Intern Med. 2014;174:588–595. doi: 10.1001/jamainternmed.2013.14764. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Walter LC, Covinsky KE. Cancer screening in elderly patients: A framework for individualized decision making. JAMA. 2001;285:2750–2756. doi: 10.1001/jama.285.21.2750. [DOI] [PubMed] [Google Scholar]
- 34.Cummings SR, Studenski S, Ferrucci L. A diagnosis of dismobility--giving mobility clinical visibility: A Mobility Working Group recommendation. JAMA. 2014;311:2061–2062. doi: 10.1001/jama.2014.3033. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Heiat A. Impact of age on definition of standards for ideal weight. Prev Cardiol. 2003;6:104–107. doi: 10.1111/j.1520-037x.2003.01046.x. [DOI] [PubMed] [Google Scholar]
- 36.CMMS. [Accessed April 4th, 2014];National Physician Fee Schedule. 2010B Available at: http://www.cms.gov/apps/physician-fee-schedule/search/search-criteria.aspx.
- 37.CMMS. [Accessed April 4th, 2014];Clinical Lab Fee Schedule. 2010B Available at: http://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/ClinicalLabFeeSched/clinlab.html.
- 38.National Inpatient Sample. Healthcare Cost and Utilzation Project. 2010 Accessed at: http//www.hcup-us.ahrq.gov.
- 39.Montgomery AA, Harding J, Fahey T. Shared decision making in hypertension: The impact of patient preferences on treatment choice. Fam Pract. 2001;18:309–313. doi: 10.1093/fampra/18.3.309. [DOI] [PubMed] [Google Scholar]
- 40.Salomon JA, Vos T, Hogan DR, et al. Common values in assessing health outcomes from disease and injury: Disability weights measurement study for the Global Burden of Disease Study 2010. Lancet. 2012;380:2129–2143. doi: 10.1016/S0140-6736(12)61680-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
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