Skip to main content
JAMA Network logoLink to JAMA Network
. 2020 Sep 8;180(11):1531–1533. doi: 10.1001/jamainternmed.2020.2750

Representation of Older Adults in Cardiovascular Disease Trials Since the Inclusion Across the Lifespan Policy

Michael G Nanna 1,2,, Sean T Chen 2, Adam J Nelson 1, Ann Marie Navar 1,2, Eric D Peterson 1,2
PMCID: PMC7489390  PMID: 32897289

Abstract

This review compares representation of older adults in interventional cardiovascular disease studies in the US before and after implementation of the National Institutes of Health’s Inclusion Across the Lifespan Policy.


Older adults traditionally have been underrepresented in cardiovascular disease (CVD) trials,1,2 requiring extrapolation of evidence from younger populations.3 In response, the National Institutes of Health (NIH) established the Inclusion Across the Lifespan Policy in January 2019 to expand representation of older adults and children in clinical research.4,5 The policy requires NIH studies to include individuals across the lifespan and to justify age-based exclusions. We set out to assess the early impact of this policy for the inclusion of older adults in CVD trials with a variety of funding sources.

Methods

For this review, we identified all phase 3 and phase 4 CVD interventional studies in the US for coronary artery disease, congestive heart failure, atrial fibrillation, peripheral artery disease, and valvular heart disease starting on or after January 25, 2018, and registered on ClinicalTrials.gov as of February 11, 2020. Trials were classified as prepolicy if they commenced enrollment 1 year before the NIH policy (January 25, 2018, to January 24, 2019) and as postpolicy if they commenced enrollment on or after January 25, 2019. We excluded 8 trials that were withdrawn, suspended, or terminated and 4 trials that were targeted at pediatric or pregnant populations (eFigure and eReferences in the Supplement).

Inclusion/exclusion criteria were abstracted, including age limits, trial type, study intervention, location, sponsoring agency, target study size and duration, and the study’s primary and secondary end points. These were compared using the χ2 test or Fisher exact test for categorical variables and the Mann-Whitney test for continuous variables. Inclusion of patient-centric end points most relevant to geriatric populations was assessed, including health status, function, quality-of-life measures, mobility assessments, and patient-reported outcomes. Exclusion criteria that may disproportionately affect older adults were also examined, such as physical disability, decreased life expectancy, and cognitive impairment.1

Results

We identified 97 eligible CVD trials, including 47 prepolicy and 50 postpolicy trials. Aggregate study characteristics for prepolicy and postpolicy trials are presented in the Table. Most trials did not include age limits in the prepolicy or postpolicy eras (14 of 47 [30%] vs 16 of 50 [32%]; P = .81). However, most postpolicy trials lacked geriatric-centric outcomes as first- or second-degree end points (32 of 50 [64%]), and exclusion criteria disproportionately affecting older adults were common both prepolicy (35 of 47 [75%]) and postpolicy (35 of 50 [70%]) (P = .62) (Figure).

Table. Characteristics of US Cardiovascular Disease Trials Before and After Implementation of the Inclusion Across the Lifespan Policy.

Characteristic No. (%) P value
Prepolicy (n = 47) Postpolicy (n = 50)
Age limit listed 14 (30) 16 (32) .81
Upper age limit, y
≤70 1 (2) 1 (2) >.99
≤75 3 (6) 3 (6) >.99
≤80 5 (11) 9 (18) .30
≤85 8 (17) 11 (22) .54
≥90 6 (13) 5 (10) .67
No age limit 33 (70) 34 (68) .81
Cardiovascular disease category
Coronary artery disease 15 (32) 13 (26) .52
Congestive heart failure/cardiomyopathy 21 (45) 18 (36) .38
Atrial fibrillation/arrhythmias 7 (15) 14 (28) .12
Peripheral artery disease 2 (4) 4 (8) .68
Valvular heart disease 2 (4) 1 (2) .61
Study intervention
Drug 36 (77) 36 (72) .61
Device 6 (13) 2 (4) .15
Diagnostic 1 (2) 2 (4) >.99
Other 4 (9) 10 (20) .15
Multicenter 24 (51) 27 (54) .77
Location
US only 30 (64) 42 (84) .02
International 17 (36) 8 (16) .02
Sponsoring agencies
Public 10 (21) 5 (10) .12
Industry 26 (55) 22 (44) .27
Philanthropy 1 (2) 1 (2) >.99
Institution 10 (21) 22 (44) .02
Study characteristics
Target study size, median (IQR) 160 (52-416) 183 (60-694) .53
Target study duration, median (IQR), mo 27 (19-43) 31 (16-48) .89
Components of primary and secondary end points
MACE/mortality in primary end point 7 (15) 10 (20) .51
Health status, function, QOL measures 16 (34) 16 (32) .83
Gait-speed/mobility assessment 9 (19) 9 (18) .88
Patient-reported outcomes 18 (38) 17 (34) .66
Exclusions disproportionately affecting older adults 35 (75) 35 (70) .62
Physical disability or functional limitations 6 (13) 8 (16) .65
Decreased life expectancy 13 (28) 10 (20) .38
Inability to give informed consent 8 (17) 10 (20) .71
Cognitive impairment 8 (17) 6 (12) .48
Preexisting medical conditions/comorbidities 19 (40) 26 (52) .25
Clinician judgment on the basis of patient or treatment characteristics 7 (15) 12 (24) .26
Conditions that may interfere with optimal data collection or interpretation 12 (26) 12 (24) .86
Poor compliance with prescribed therapies 8 (17) 10 (20) .71

Abbreviations: IQR, interquartile range; MACE, major adverse cardiovascular events; QOL, quality of life.

Figure. Barriers to Representation of Older Adults in Cardiovascular Disease Trials Before and After the Inclusion Across the Lifespan Policy.

Figure.

Trial sponsorship was similar in the prepolicy vs postpolicy periods, with a trend toward fewer publicly funded studies (Table). The proportion of studies that included age limits was similar among industry-funded and publicly funded studies (18 of 48 [38%] vs 4 of 15 [27%]; P = .54), and it was also similar prepolicy and postpolicy in both publicly funded studies (3 of 10 [30%] prepolicy vs 1 of 5 [20%] postpolicy; P > .99) and industry-funded studies (9 of 26 [35%] prepolicy vs 9 of 22 [41%] postpolicy; P = .65). When the small number of NIH-funded trials was compared with all others, the proportion with age limits was similar (1 of 5 [20%] vs 29 of 92 [32%]; P > .99).

Inclusion of measures of health status, function, or quality of life (16 of 47 [34%] prepolicy vs 16 of 50 [32%] postpolicy; P = .83), gait-speed and mobility assessments (9 of 47 [19%] prepolicy vs 9 of 50 [18%] postpolicy; P = .88), and patient-reported outcomes (18 of 47 [38%] prepolicy vs 17 of 50 [34%] postpolicy; P = .66) was similar in all studies before and after the enactment of the policy.

Discussion

One year after adoption of the Inclusion Across the Lifespan Policy, challenges remained in ensuring adequate representation of older adults in CVD trials. One-third of trials included explicit age limits, with no difference before or after the policy, and two-thirds of trials used exclusion criteria that disproportionately affect older adults. In addition, only a minority of studies included patient- and geriatric-centric clinical trial end points after adoption of the policy.

Although this study highlighted early opportunities for improvement in representation of older adults in CVD trials, it was limited by the data available on ClinicalTrials.gov. Moreover, a given clinical trial might not explicitly exclude participants based on chronological age alone, but that does not necessarily translate into adequate enrollment of older participants. Further tracking of actual enrollment by age group will be critical to monitoring the success of the policy. Future policy changes that extend beyond just NIH-funded studies may also be necessary to improve the collection of evidence among older adults with CVD.

Supplement.

eFigure. Cardiovascular Clinical Trial Selection Process on ClinicalTrials.gov

eReferences. Cardiovascular Disease Trials Included in This Analysis

References

  • 1.Zulman DM, Sussman JB, Chen X, Cigolle CT, Blaum CS, Hayward RA. Examining the evidence: a systematic review of the inclusion and analysis of older adults in randomized controlled trials. J Gen Intern Med. 2011;26(7):783-790. doi: 10.1007/s11606-010-1629-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Sardar MR, Badri M, Prince CT, Seltzer J, Kowey PR. Underrepresentation of women, elderly patients, and racial minorities in the randomized trials used for cardiovascular guidelines. JAMA Intern Med. 2014;174(11):1868-1870. doi: 10.1001/jamainternmed.2014.4758 [DOI] [PubMed] [Google Scholar]
  • 3.Tinetti ME. The gap between clinical trials and the real world: extrapolating treatment effects from younger to older adults. JAMA Intern Med. 2014;174(3):397-398. doi: 10.1001/jamainternmed.2013.13283 [DOI] [PubMed] [Google Scholar]
  • 4.Bernard MA, Clayton JA, Lauer MS. Inclusion across the lifespan: NIH policy for clinical research. JAMA. 2018;320(15):1535-1536. doi: 10.1001/jama.2018.12368 [DOI] [PubMed] [Google Scholar]
  • 5.National Institutes of Health Revision: NIH Policy and Guidelines on the Inclusion of Individuals Across the Lifespan as Participants in Research Involving Human Subjects. National Institutes of Health; 2017. Notice NOT-OD-18-116. Accessed March 9, 2020. https://grants.nih.gov/grants/guide/notice-files/NOT-OD-18-116.html [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplement.

eFigure. Cardiovascular Clinical Trial Selection Process on ClinicalTrials.gov

eReferences. Cardiovascular Disease Trials Included in This Analysis


Articles from JAMA Internal Medicine are provided here courtesy of American Medical Association

RESOURCES