Older Adults with Cancer and Multimorbidity: Exploring the Interface - - PowerPoint PPT Presentation
Older Adults with Cancer and Multimorbidity: Exploring the Interface - - PowerPoint PPT Presentation
Older Adults with Cancer and Multimorbidity: Exploring the Interface between Geriatric Oncology and Palliative Care Ron Maggiore, M.D. Assistant Professor of Medicine Division of Hematology University of Rochester October 18, 2019 Review of
Review of Pre-Talk Survey Results
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Review of Pre-Talk Survey Results
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Drawing from Real-Life Experience
- 74-year-old woman with stage IV (M1a) NSCLC on pembrolizumab therapy
>1 year, stable disease; dermatitis, well managed on topical therapies
- Severe COPD, oxygen-dependent, sees pulmonology and family medicine
for medical management
- Hospitalized in 2018 x2, recommended nocturnal BiPAP; patient does not
use consistently at home
- Re-hospitalized May 2019, June 2019 x2, July 2019, August 2019, and Sept
2019 for hypercapneic respiratory failure /COPD exacerbations
- Saw patient in early August before next hospitalization and broached
hospice and advance-care planning; already had a MOLST on file indicating DNR/DNI preference
Overview
- By 2030, approximately 2/3 of all cancer patients diagnosed in the
U.S. will be >=65 years
- More than half of these patients will have at least 1 other health
issue (comorbidity) that could affect cancer treatment decision- making and ultimately prognosis and advanced-care planning
- At least 2/3 of these patients will have 2 or more competing health
conditions
- Sometimes cancer is not the predominant issue in terms of what is
impacting the patient’s health status or health-related quality of life at present
Williams GR et al. JGO 2016
What is Multimorbidity?
- Multiple coexisting health conditions beyond an index
condition (i.e., cancer)
- Severity of These Illnesses?
- Functional Limitations?
- Geriatric Syndromes?
Williams GR et al. JGO 2016
Multimorbidity: More than just number and severity of concurrent illnesses?
- Perhaps!
- Does adding functional impairments and geriatric syndromes
impact health outcomes in older adults the same as or more so than number of medical conditions?
Importance of Multimorbidity
- Impacts mortality, which has strongest implications for cancer
screening and treatments, particularly in the early-stage setting
- Impacts chemo-related toxicity risk but may be more so via
functional impairment
- May bias physician referral patterns for specific cancers and
their treatments
- Creates barriers to clinical trial eligibility, enrollment, and
retention
Williams GR et al. JGO 2016
Multimorbidity: Incorporating Functional Limitations and Geriatric Syndromes
- Functional Limitations: Limited strength, limited upper body
mobility, limited lower body mobility, IADL impairment, BADL impairment
- Geriatric Syndromes:
– visual impairment, hearing impairment, depression, cognitive impairment, persistent lightheadedness/dizziness, severe pain
Koroukian SM et al. JGIM 2016
Multimorbidity: Incorporating Functional Limitations and Geriatric Syndromes
- In looking at 10 medical conditions, the combinations of age,
functional limitations, and geriatric syndromes were better at stratifying those with worse self-rated health and mortality at 2 years in those age ≥50 years from study start
– Worse self-reported health @ 2 years: age ≥68.5 years, difficulty walking several blocks, reporting fair/poor health – Worse mortality @ 2 years: age ≥80.5 years, impairments in both BADLs and IADLs
Koroukian SM et al. JGIM 2016
Health Care Costs and Multimorbidity: Veteran Affairs Health Care Study
- Large cross-sectional study of medical expenditures per patient
- ver 1 year (2009-2010), including rx drug costs
- Almost half (47%) of all VA costs were attributable to “high
cost” patients (top 5%). Inpatient care =50%
- These patients had 3+ comorbidities (77%); 5+ (41%)
Zulman DM et al BMJ Open 2015
Health Care Costs and Multimorbidity: Veteran Affairs Health Care Study
- Certain conditions alone drove costs: cancer, schizophrenia
- High burden of MH issues and run with cardiovascular,
endocrine (DM), and musculoskeletal conditions
- More conditions, more visits to: hospital, primary care, ER,
specialty care
Zulman DM et al BMJ Open 2015
A Different Approach to Care Models?
- Patient Health Value (PHV) model for high-cost/high-risk groups of
patients
- 3 identified at UCLA: dementia, CKD, and cancer
- Multidisciplinary teams created to address spending and care
pathways to improve evidence-based care and minimize hospital and other service utilization
- Was able to show thus far decrease in LOS and hospitalizations for
dementia and CKD patient subgroups
- Expand to other chronic serious illnesses?
Gupta R et al. Acad Med 2019
Importance of Interactions among Age, Cancer Symptoms, and Hospitalization
- An unplanned hospitalization for patients with advanced
cancer can signal a worse prognosis and may be an entrée to palliative care discussions/consultations (but very few are)
– Usually for cancer-related symptoms such as pain (66% in the Univ. of Wisconsin study; 58% in the Dana-Farber/BWH study).
- Age ≥70 years in addition to documentation of prior oncologist
recommending hospice, and 3rd line or beyond cancer treatment were risk factors for potentially avoidable hospitalizations in patients with GI cancers (mostly pancreatic)
Rocque GB et al. JOP 2013; Brooks GA et al. JCO 2014; Daly B et al. JOP 2016; Rocque GB et al J Pain Symptom Manage 2015; DiMartino LD et al HealthC (Amst) 2019
Importance of Interactions among Age, Cancer Symptoms, and Hospitalization
- Comorbidity increases risk for ICU death in patients with
advanced cancer, especially those with prior hospitalizations.
- May bias physician referral patterns for specific cancers and
their treatments
- Triggered (inpatient) palliative care consultations (TPCC) may
be difficult to implement and may not increase hospice enrollment (Wisconsin and UNC studies)
Rocque GB et al. JOP 2013; Brooks GA et al. JCO 2014; Daly B et al. JOP 2016; Rocque GB et al J Pain Symptom Manage 2015; DiMartino LD et al HealthC (Amst) 2019
Hospitalization for Patients with Cancer: A Missed Opportunity for Palliative Care?
- Two cross-sections of patients hospitalized at a university
- ncology unit (2000 & 2010; Wisconsin)
- Mean age=60 years (range, 27-88)
- 89% had advanced-stage disease
- GI>lung>breast cancers
- 66% admitted for cancer-related symptoms:
Rocque GB et al. JOP 2013
Hospitalization for Patients with Cancer: A Missed Opportunity for Palliative Care?
- Two cross-sections of patients hospitalized at a university
- ncology unit (2000 & 2010; Wisconsin)
- Mean age=60 years (range, 27-88)
- 89% had advanced-stage disease
- GI>lung>breast cancers
- 66% admitted for cancer-related symptoms:
Rocque GB et al. JOP 2013
Hospitalization for Patients with Cancer: A Missed Opportunity for Palliative Care?
- https://www.surveymonkey.com/r/DV9NS29
Rocque GB et al. JOP 2013
Hospitalization for Patients with Cancer: A Missed Opportunity for Palliative Care?
- Median survival after discharge date:
- 2000 cohort: 4.7 months
- 2010 cohort: 3.4 months
Rocque GB et al. JOP 2013
Median OS: 4.7 months Median OS: 3.4 months
Going One Step Further: Assessing Risks for Re-Hospitalization
- A study at MGH targeted adults with advanced cancer
receiving palliative-intent chemotherapy over an approx. 3- month period and followed for re-hospitalization for up to 1 year
- Patients were given a symptom burden questionnaire during
the index hospitalization (Edmonton Symptom Assessment System Revised; ESAS-r)
- N=200
Johnson PC et al. JOP 2019
Going One Step Further: Assessing Risks for Re-Hospitalization
- Over half had a re-admission during follow-up (58.5%)
- Mean time to first re-hospitalization was 1.93 months (SD +/-
2.07 months)
- Mean age: 64 years
- Most common cancer site: GI (43%); followed by lung and GU
- Mean Charlson CI score: 0.85
- Impaired mobility: 31%
- Reason for re-hospitalization:
– infectious (26%); cancer symptoms (19%)
Johnson PC et al. JOP 2019
Going One Step Further: Assessing Risks for Re-Hospitalization
- Characterizing the Potentially Avoidable Re-admissions (PARs)
identified by the study team:
– Lack of timely outpatient follow-up – Premature discharge from prior hospitalization
- Both speak to: What systems are in place regarding oncology-
- riented transitions of care?
- Predictors of PARs: Lack of spouse (=proxy for lack of social
support?), higher symptom burden scores during index hospitalization
Johnson PC et al. JOP 2019
Terminal ICU Admissions for Oncology Patients
- 1-year study at university hospital (University of Chicago)
- N=72 (mean age: 62 years; range, 58-74)
- Only 25% had advance directives documented
- 50% classified as potentially avoidable
- Predictors:
– Poorer Performance Status – Non-Independent Living Situation Prior to Terminal Admission – Relatively More Recent Cancer Diagnosis – Cancer Symptoms as Reason for Hospitalization – Multimorbidity (CCI) – Prior Hospitalizations in past year
Daly B et al. JOP 2016
Cancer Diagnosis and Geriatric Syndromes
Mohile SG et al JCO 2011
Cancer Diagnosis and Geriatric Syndromes ctn’d.
Mohile SG et al. JCO 2011
Palliative Care, Cancer, and Multimorbidity
- Large prospective trial across 6 cancer centers in the U.S.
- Randomly assigned to palliative care consultation vs. usual care
at time of first hospitalization
- N=906 patients with advanced cancer
– Most common conditions: HTN, COPD, “weight loss,” “fluid- electrolyte imbalance,” depression, arrhythmias
- Treatment effect for cost savings $2321 for those with 2-3
concurrent conditions (22% of patients): 4+, $3515 (32% of patients)
May P et al. Health Aff (Milwood) 2016
Issues Raised
- Workforce shortages and gaps in care provision longitudinally
- Access to palliative care resources and/or services
- Hospitalization: Inpatient screening and/or triggers for the
most vulnerable = most likely to benefit from palliative care consultation?
- Policy-making and advocacy at institutional and broader levels
May P et al. Health Aff (Milwood) 2016
Multimorbidity: Impact on End-of-Life Care for Older Adults with Cancer
- A linked data-set from Medicare and Health & Retirement Study and
National Death Index
- N=835 patients age >=66 years
- In-hospital and ER deaths were highest among those with hematologic
cancers
- Hospice enrollment highest among breast cancer, lowest with hematologic
cancers
- Number of comorbid conditions were not associated with 3 of the 4 study
- utcomes (receipt of cancer treatment, hospice enrollment, death in
hospital) and borderline for hospitalization
– However, # of geriatric syndromes were associated with lower likelihood of receipt cancer therapy
Koroukian SM et al. JGO 2017
Tele-Palliative Care
- May allow greater access and overcome geographic and
functional limitation issues
- Technology familiarity and logistics
- Feedback and input serially from providers, patients and
caregivers
- Needs assessments prior to implementation
- Stakeholders, reimbursement, other funding sources
- Patient-Reported Symptoms/Outcomes and Apps?
Calton BA et al. J Pall Med 2019
Integrating Geriatric Oncology and Palliative Care: Some recommendations from experts
- Advancing age increases risk of other competing life-limiting
health issues, lack of singular health or related interventions, less evidence base, increased frailty and physiologic reserve, differing goals/preferences with increasing emphasis on functional independence and intact cognition
- Recognizing heterogeneity in illness (and by extension)
functional trajectories
- Moving away from dichotomous roles of palliative care and
hospice
Fried TR et al. NEJM 2002; Cheng and Nicholson JGO 2018
Integrating Geriatric Oncology and Palliative Care: Questions to Consider
- Earlier palliative care referral for ANY frail older patient with
cancer?
– How best to capture these more at-risk patients? GA screening? Timing?
- Benefits that may be more for caregivers for older adults with
multiple health issues?
- Are trajectories (even from palliative care intervention, caregiver
symptom, or patient-reported symptom/QOL viewpoints) unique based on older age and/or different coexisting health issues?
Cheng and Nicholson JGO 2018
Identifying Palliative Care Champions
- Competing issues that potentially de-stabilize the sustainable
specialty-only model
– New approaches/systems, patient/healthcare system needs, competition, workforce shortages, existing systems expand scope of practice
- Establish new workforce framework?
– Basic→Champion→Specialist as time intensity/clinical complexity commensurately increases
Kamal AH et al. JAGS 2019