Polypharmacy and prescription medication use in a population-based sample of adolescent and young adult cancer survivors

Lack of Routine Health Care Among Adult Survivors of Childhood, Adolescent, and Young Adult Cancers (CAYA): A Nationally Representative Study of 4300 Survivors

BACKGROUND

Survivors of childhood, adolescent, and young adult cancers (CAYA) experience lifelong health risks and accelerated aging. We examined routine health care (no routine checkup in the past year) among a nationally representative sample of CAYA survivors at different life stages.

METHODS

We pooled data from the Behavioral Risk Factor Surveillance System (BRFSS; 2012, 2014, 2016-2019). CAYA survivors (ages 0-39 at cancer diagnosis) were young adults (18-39 years), middle-aged (40-64 years), or older adults (≥ 65 years) at the time of the survey. We estimated the prevalence of: (1) not receiving routine health care and (2) not having a personal doctor, overall and by age at survey. We used multivariable Poisson regression to identify factors associated with these outcomes.

RESULTS

We identified 4284 CAYA survivors: 884 young adults, 2201 middle-aged, and 1199 older adults. More young adults were uninsured and unable to afford care, compared to other age groups. A higher proportion of young adults did not receive routine health care (35.9%, 95% CI 30.3-41.9) or have a personal doctor (25.6%, 95% CI 20.5-31.4), compared to middle-aged or older CAYA survivors (p < 0.01). In multivariable models, being a young adult was strongly associated with (1) not receiving routine health care (aPR 1.82, 95% CI 1.24-2.67) and (2) not having a personal doctor (aPR 3.14, 95% CI 1.84-5.35).

CONCLUSIONS

Younger CAYA survivors experience a triple threat of chronic conditions, modifiable risks, and disconnection from routine health care.

IMPACT

Early interventions to facilitate care transitions are needed.

Polypharmacy, over-the-counter medications, and aromatase inhibitor adherence in early-stage breast cancer

PURPOSE

Polypharmacy is associated with negative health outcomes and decreased medication adherence. Polypharmacy is common in cancer populations, but few studies have evaluated the relationship between polypharmacy and aromatase inhibitor (AI) adherence. No studies have evaluated the relationship between over-the-counter (OTC) supplements and AI adherence. Our primary hypothesis was that polypharmacy would be associated with increased risk of premature AI discontinuation.

METHODS

This exploratory analysis used data from the Exemestane and Letrozole Pharmacogenetics (ELPh) trial, a prospective, multicenter, randomized controlled trial that enrolled participants from 2005 to 2009. Included patients were female, postmenopausal, with stage 0-III breast cancer, who had completed indicated chemotherapy, surgery, and radiation. Participants were randomized to adjuvant exemestane or letrozole and completed serial clinical examinations and questionnaires for two years. Concomitant medication data were collected prospectively. Cox proportion models were used for statistical analysis of the relationship between polypharmacy, OTCs, medication class, and AI adherence.

RESULTS

In the 490 analyzed participants, use of any prescription medications at baseline was associated with decreased risk of premature AI discontinuation (HR 0.56, p = 0.02). Use of selective serotonin reuptake inhibitors (SSRIs) or selective serotonin and norepinephrine reuptake inhibitors (SNRIs) at baseline was associated with decreased risk of premature AI discontinuation (HR 0.67, p = 0.04). Use of any OTCs was not associated with AI discontinuation.

CONCLUSION

Baseline use of prescription medications but not OTCs was associated with increased AI persistence. Future research is needed to understand how this can be utilized to promote AI adherence.

Polypharmacy and medication fill nonadherence in a population-based sample of adolescent and young adult cancer survivors, 2008-2017

PURPOSE

We examined the association between polypharmacy-an established risk factor for nonadherence in the elderly-and medication fill nonadherence in a large national sample of adolescent and young adult cancer survivors (AYAs) in the USA.

METHODS

We pooled data (2008-2017) from the Medical Expenditure Panel Survey. We defined polypharmacy as ≥ 3 unique medications prescribed, based on self-report and pharmacy data, and medication fill nonadherence as self-reported delay or inability to obtain a necessary medication. We estimated prevalence of medication fill nonadherence among AYAs (age 18-39 years with a cancer history). We used logistic regression to estimate the association between (1) polypharmacy and medication fill nonadherence in AYAs, and (2) total number of medications prescribed and medication fill nonadherence, controlling for sex, number of chronic conditions, disability, and survey year.

RESULTS

AYAs (n = 598) were predominantly female (76.2%), age 30-39 years (64.9%), and non-Hispanic White (72.1%). Nearly half were poor (19.0%) or near-poor/low income (21.6%). One in ten AYAs reported medication fill nonadherence (9.75%). Of these, more than 70% cited cost-related barriers as the reason. AYAs with polypharmacy had 2.49 times higher odds of medication fill nonadherence (95%CI 1.11-5.59), compared to those without polypharmacy. Odds of medication fill nonadherence increased by 16% with each additional medication prescribed (AOR 1.16, 95% CI 1.07-1.25).

CONCLUSIONS

Polypharmacy may be an important risk factor for medication fill nonadherence in AYAs in the USA.

IMPLICATIONS FOR CANCER SURVIVORS

Improving AYAs' medication adherence requires eliminating cost-related barriers, particularly for those with polypharmacy.

A Developmental Science Approach to Informing Age Subgroups in Adolescent and Young Adult Cancer Research

PURPOSE

Adolescent and young adult (AYA; diagnosed ages 15-39) cancer survivors are developmentally heterogenous, and this population consists of at least three distinct theoretically informed subgroups, as follows: adolescents, emerging adults, and young adults. However, there are limited evidence-based recommendations for delineating the validity of these subgroups in cancer-specific research. We sought to inform recommended chronological age ranges for each subgroup based on developmental processes.

METHODS

The data were collected using a 2x3 stratified sampling design (on-vs. off-treatment; ages 15-17, 18-25, 26-39) and a cross-sectional survey. AYAs (N = 572) completed three subscales of the Inventory of Dimensions of Emerging Adulthood (identity exploration, experimentation/possibilities, and other-focused), and we used regression tree analyses to identify distinct shifts in mean subscale scores that would indicate unique subgroups. Models included (a) chronological age, (b) chronological age + cancer-related variables, and (c) chronological age + sociodemographic/psychosocial variables as predictors of each developmental measure.

RESULTS

The recommended age ranges for AYA survivors receiving active treatment were consistent with prior research as follows: adolescents ages 15-17, emerging adults ages 18-24, and young adults ages 25-39. Models for off-treatment survivors suggested four distinct subgroups: adolescents ages 15-17, emerging adults ages 18-23, and 'younger' (ages 24-32) and 'older' young adults (ages 33-39). No sociodemographic or psychosocial variables meaningfully shifted these recommendations.

DISCUSSION

Our results suggest that three developmental subgroups remain appropriate for on-treatment survivors, but a second young adult subgroup (ages 33-39) emerged for off-treatment survivors. Therefore, development disruptions may be more likely to occur or manifest in post-treatment survivorship.

Stillbirth After Adolescent and Young Adult Cancer: A Population-Based Study

BACKGROUND

Gonadotoxic effects of cancer treatment may increase risk of adverse birth outcomes in adolescent and young adult (AYA, aged 15-39 years) women diagnosed with cancer. We estimated risk of stillbirth (fetal death of gestational age ≥20 weeks or weighing ≥350 grams) in a population-based sample of AYA women.

METHODS

AYA women diagnosed with cancer between January 1, 1995, and December 31, 2015, were identified using the Texas Cancer Registry and linked to live birth and fetal death certificates through December 31, 2016. Among AYA women, cumulative incidence of stillbirth was estimated by gestational age, and Poisson regression models identified factors associated with stillbirth. Standardized fetal mortality ratios (SMR) compared the observed fetal mortality rate in AYA women with the expected fetal mortality rate in the general population.

RESULTS

A total of 11 628 live births and 68 stillbirths occurred to 8402 AYA women after diagnosis. Cumulative incidence of stillbirth in AYA women was 0.70% (95% confidence interval [CI] = 0.51% to 0.96%) at 40 weeks of gestation. Risk of stillbirth was higher among Hispanic (risk ratio [RR] = 2.64, 95% CI = 1.29 to 5.41) and non-Hispanic Black (RR = 4.13, 95% CI = 1.68 to 10.16) women compared with non-Hispanic White women; there was no association with receipt of chemotherapy or time since diagnosis. Age- and race and ethnicity-adjusted fetal mortality rate in AYA women was similar to the general population (SMR = 0.99, 95% CI = 0.77 to 1.26).

CONCLUSIONS

AYA women may be counseled that overall risk of stillbirth is low, and for most, cancer does not appear to confer additional risk.

Early-Onset Cancers in Adults: A Review of Epidemiology, Supportive Care Needs and Future Research Priorities

Rising incidence of specific types of early-age onset cancers in adults aged 18-49 years has been reported in high-income countries. In this review, we summarise the epidemiology of early-onset cancers using exemplar data from a high-income UK region, discuss supportive care needs for young patients and outline future research directions. The incidence rate of early-onset cancers increased by 20.5% from 1993 to 2019 in Northern Ireland. Differences in types of cancer were observed between sexes and across age groups of 18-29, 30-39 and 40-49 years. One and five-year net survival was mostly better in 18-29-year-olds for all cancers combined compared to older age groups for both sexes, but there were variations in specific cancer types. Poorer survival was observed for patients with brain/central nervous system, connective and soft tissue or lung cancers. Patients with early-onset cancers face unique supportive care needs and require holistic care. The impact of cancer treatment on fertility and fertility preservation treatments is an important consideration. Social media can be used for patient support, information, fundraising, advocacy work and recruitment to research studies. We also outline suggested future research priorities for early-onset cancers, spanning prevention, diagnosis, treatment and supportive care needs.