The Relationship Between Prior Cancer Diagnosis and All-Cause Dementia Progression Among US Adults.

BACKGROUND: Cancer-related cognitive impairment (CRCI), a frequent effect of cancer and its treatments, shares common cognitive symptoms with dementia syndromes. Cross-sectional studies demonstrate an inverse relationship between cancer and dementia. However, the longitudinal relationship between dementia decline and cancer has not been investigated. OBJECTIVE: To evaluate the association between cancer and longitudinal progression of dementia. METHODS: We extracted electronic health record data from July 2003 to February 2020 from a single academic medical center. We identified dementia and cancer history prior to dementia using ICD-9/10 codes. We measured cognitive decline with the Alabama Brief Cognitive Screener (ABCs). We used adjusted linear mixed models to estimate baseline cognition and rate of progression by cancer history, including differences by race. RESULTS: The study included 3,809 participants with dementia, of which 672 (17.6%) had cancer history. Those with cancer history had higher baseline cognition (ß: 1.07, 95% CI: 0.45, 1.69), but similar rate of decline. Non-Hispanic Blacks had lower cognitive scores at baseline and throughout follow-up regardless of cancer status compared to non-Hispanic Whites and other races/ethnicities with and without cancer history. CONCLUSION: In this longitudinal retrospective study, participants with cancer history demonstrate better cognition at dementia diagnosis and no difference in cognitive decline than those without cancer history. Smoking and comorbidities attenuate this association and results indicate non-Hispanic Blacks have worse cognitive outcomes in dementia regardless of cancer history than other race/ethnicity groups. Further exploration of the role of smoking, comorbidities, and race/ethnicity on cancer and dementia-related cognitive decline is needed.

Dynamic Amyloid PET: Relationships to 18F-Flortaucipir Tau PET Measures.

Measuring amyloid and predicting tau status using a single amyloid PET study would be valuable for assessing brain AD pathophysiology. We hypothesized that early-frame amyloid PET (efAP) correlates with the presence of tau pathology because the initial regional brain concentrations of radioactivity are determined primarily by blood flow, which is expected to be decreased in the setting of tau pathology. Methods: The study included 120 participants (63 amyloid-positive and 57 amyloid-negative) with dynamic 18F-florbetapir PET and static 18F-flortaucipir PET scans obtained within 6 mo of each other. These subjects were predominantly cognitively intact in both the amyloid-positive (63%) and the amyloid-negative (93%) groups. Parameters for efAP quantification were optimized for stratification of tau PET positivity, assessed by either a tauopathy score or Braak regions. The ability of efAP to stratify tau positivity was measured using receiver-operating-characteristic analysis of area under the curve (AUC). Pearson r and Spearman ρ were used for parametric and nonparametric comparisons between efAP and tau PET, respectively. Standardized net benefit was used to evaluate improvement in using efAP as an additional copredictor over hippocampal volume in predicting tau PET positivity. Results: Measuring efAP within the hippocampus and summing the first 3 min of brain activity after injection showed the strongest discriminative ability to stratify for tau positivity (AUC, 0.67-0.89 across tau PET Braak regions) in amyloid-positive individuals. Hippocampal efAP correlated significantly with a global tau PET tauopathy score in amyloid-positive participants (r = -0.57, P < 0.0001). Compared with hippocampal volume, hippocampal efAP showed a stronger association with tau PET Braak stage (ρ = -0.58 vs. -0.37) and superior stratification of tau PET tauopathy score (AUC, 0.86 vs. 0.66; P = 0.002). Conclusion: Hippocampal efAP can provide additional information to conventional amyloid PET, including estimation of the likelihood of tau positivity in amyloid-positive individuals.

Reliability of self-report versus the capacity to consent to treatment instrument to make medical decisions in brain metastasis and other metastatic cancers.

OBJECTIVE: To evaluate the ability of persons with metastatic cancer to self-assess their medical decision-making capacity (MDC). To investigate this, we compared an objective measure of MDC with self-ratings and evaluated predictors of agreement. METHODS: Data were obtained from a cross-sectional study of metastatic cancer patients at a large academic medical center. Across all standards of MDC, sensitivity, specificity, and reliability using Gwet's AC1 statistic were calculated using the objective measure as the gold standard. Logistic regression was used to evaluate predictors of agreement between the measures across all MDC standards. RESULTS: In those with brain metastases, high sensitivity (greater than 0.7), but low specificity was observed for all standards. Poor reliability was observed across all standards. Higher age resulted in higher odds of disagreement for Standard 3 (appreciation) (OR: 1.07, 95% CI: 1.00, 1.15) and Standard 4 (reasoning) (OR: 1.05, 95% CI: 1.00, 1.10). For Standard 3, chemotherapy use and brain metastases compared to other metastases resulted in higher odds of disagreement (Chemotherapy: OR: 5.62, 95% CI: 1.37, 23.09, Brain Metastases: OR: 5.93, 95% CI: 1.28, 27.55). For Standard 5 (understanding), no predictors were associated with disagreement. CONCLUSIONS: For less cognitively complex standards (e.g., appreciation), self-report may be more valid and reliable than more cognitively complex standards (e.g., reasoning or understanding). However, overall, MDC self-report in the current sample is suboptimal. Thus, the need for detailed assessment of MDC, especially when patients are older or used chemotherapy, is indicated. Other studies should be conducted to assess MDC agreement longitudinally.

Comparison of Two Methods for Implementing Comfort Care Order Sets in the Inpatient Setting: a Cluster Randomized Trial.

BACKGROUND: There is an ongoing need for interventions to improve quality of end-of-life care for patients in inpatient settings. OBJECTIVE: To compare two methods for implementing a Comfort Care Education Intervention for Palliative Care Consultation Teams (PCCT) in Veterans Affairs Medical Centers (VAMCs). DESIGN: Cluster randomized implementation trial conducted March 2015-April 2019. PCCTs were assigned to a traditional implementation approach using a teleconference or to an in-person, train-the-champion workshop to prepare PCCTs to be clinical champions at their home sites. PARTICIPANTS: One hundred thirty-two providers from PCCTs at 47 VAMCs. INTERVENTIONS: Both training modalities involved review of educational materials, instruction on using an electronic Comfort Care Order Set, and coaching to deliver the intervention to other providers. MAIN MEASUREMENTS: Several processes of care were identified a priori as quality endpoints for end-of-life care (last 7 days) and abstracted from medical records of veterans who died within 9 months before or after implementation (n = 6,491). The primary endpoint was the presence of an active order for opioid medication at time of death. Secondary endpoints were orders/administration of antipsychotics, benzodiazepines, and scopolamine, do-not-resuscitate orders, advance directives, locations of death, palliative care consultations, nasogastric tubes, intravenous lines, physical restraints, pastoral care visits, and family presence at/near time of death. Generalized estimating equations were conducted adjusting for potential covariates. KEY RESULTS: Eighty-eight providers from 23 VAMCs received teleconference training; 44 providers from 23 VAMCs received in-person workshop training. Analyses found no significant differences between intervention groups in any process-of-care endpoints (primary endpoint AOR (CI) = 1.18 (0.74, 1.89). Furthermore, pre-post changes were not significant for any endpoints (primary endpoint AOR (CI) = 1.16 (0.92, 1.46). Analyses may have been limited by high baseline values on key endpoints with little room for improvement. CONCLUSION: Findings suggest the clinical effectiveness of palliative care educational intervention was not dependent on which of the two implementation methods was used. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT02383173.

Progression of Alzheimer's Disease by Self-Reported Cancer History in the Alzheimer's Disease Neuroimaging Initiative.

BACKGROUND: Cross-sectional studies suggest self-reported cancer history is associated with decreased risk of Alzheimer's disease (AD). However, little is known about how self-reported cancer affects longitudinal AD progression, the primary outcome in clinical trials and observational studies. OBJECTIVE: To determine self-reported cancer history's effect on longitudinal AD progression in an observational study. METHODS: We utilized data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) to evaluate progression to AD by self-reported all-cancer, breast, prostate, colorectal, or non-melanoma skin cancer history. Linear mixed effects models were used to examine baseline differences and rates of progression on the Alzheimer's Disease Assessment Scale-Cognitive Subscale (ADAS-Cog) by self-reported cancer history. Age at AD onset was examined using consensus clinical diagnoses with Cox proportional hazards regression. RESULTS: Among 1,271 participants, models revealed no significant differences in progression over time but did reveal significantly lower baseline ADAS-Cog score, indicating better cognition at a given age in those with self-reported cancer history. Cox models indicated those with self-reported cancer history had significantly later age of AD onset (HR: 0.67, 95% CI: 0.53-0.85) after adjustment for covariates. CONCLUSION: Participants with self-reported cancer history entered ADNI with better cognition and later age of AD onset, but progressed similarly to participants without such history, indicating differences in AD between those with and without self-reported cancer history emerge early in the disease course. Such differences in longitudinal progression by self-reported cancer history could affect AD trials and observational studies, given the current focus on early disease course. Further investigation is warranted with detailed longitudinal assessment of cancer and AD.

Association of peripheral artery disease with life-space mobility restriction and mortality in community-dwelling older adults.

OBJECTIVE: Symptomatic peripheral artery disease (PAD) impairs walking, but data on the impact of PAD on community mobility is limited. Life-space mobility measures the distance, frequency, and assistance needed as older adults move through geographic areas extending from their bedroom (life-space mobility score: 0) to beyond their town (life-space mobility score: 120). We evaluated the association of PAD with longitudinal life-space mobility trajectory. METHODS: Participants were part of the University of Alabama at Birmingham Study of Aging, a longitudinal study of community-dwelling older adults who were observed from 2001 to 2009. We limited our analysis to those who survived at least 6 months (N = 981). PAD was based on self-report with verification by physician report and hospital records. Our primary outcome was life-space mobility score assessed every 6 months. A multilevel change model (mixed model) was used to determine the association between PAD and life-space mobility trajectory during a median 7.9 years of follow-up. RESULTS: Participants had a mean age of 75.7 (standard deviation, 6.7) years; 50.5% were female, and 50.4% were African American. PAD prevalence was 10.1%, and 57.1% of participants with PAD died. In participants with both PAD and life-space restriction, defined as life-space mobility score <60, we observed the highest mortality (73.1%). In a multivariable adjusted mixed effects model, participants with PAD had a more rapid decline in life-space mobility by -1.1 (95% confidence interval [CI], -1.9 to -0.24) points per year compared with those without PAD. At 5-year follow-up, model-adjusted mean life-space mobility was 48.1 (95% CI, 43.5-52.7) and 52.4 (95% CI, 50.9-53.8) among those with and without PAD, respectively, corresponding to a restriction in independent life-space mobility at the level of one's neighborhood. CONCLUSIONS: Life-space mobility is a novel patient-centered measure of community mobility, and PAD is associated with significant life-space mobility decline among community-dwelling older adults. Further study is needed to mechanistically confirm these findings and to determine whether better recognition and treatment of PAD alter the trajectory of life-space mobility.

Continuation of non-essential medications in actively dying hospitalised patients.

OBJECTIVE: The objective of this analysis was to examine the use of 11 non-essential medications in actively dying patients. METHODS: This was a planned secondary analysis of data from the Best Practices for End-of-Life Care for Our Nation's Veterans trial, a multicentre implementation trial of an intervention to improve processes of end-of-life care in inpatient settings. Supported with an electronic comfort care decision support tool, intervention included training hospital staff to identify actively dying patients, communicate the prognosis to patients/families and implement best practices of traditionally home-based hospice care. Data on medication use before and after intervention were derived from electronic medical records of 5476 deceased veterans. RESULTS: Five non-essential medications, clopidogrel, donepezil, glyburide, metformin and propoxyphene, were ordered in less than 5% of cases. More common were orders for simvastatin (15.8%/15.1%), calcium tablets (8.4%/7.9%), multivitamins (11.6%/10.8%), ferrous sulfate (9.1%/7.6%), diphenhydramine (7.2%/5.1%) and subcutaneous heparin (29.9%/27.5%). Significant decreases were found for donepezil (2.5%/1.3%; p=0.001), propoxyphene (0.8%/0.1%; p=0.001), metformin (0.8%/0.3%; p=0.007) and multivitamins (11.6%/10.8%; p=0.01). Orders for one or more non-essential medications were less likely to occur in association with palliative care consultation (adjusted OR (AOR)=0.64, p<0.001), do-not-resuscitate orders (AOR=0.66, p=0.001) and orders for death rattle medication (AOR=0.35, p<0.001). Patients who died in an intensive care unit were more likely to receive a non-essential medication (AOR=1.60, p=0.009), as were older patients (AOR=1.12 per 10 years, p=0.002). CONCLUSIONS: Non-essential medications continue to be administered to actively dying patients. Discontinuation of these medications may be facilitated by interventions that enhance recognition and consideration of patients' actively dying status.

Empirical validation of the S-Score algorithm in the analysis of gene expression data.

BACKGROUND: Current methods of analyzing Affymetrix GeneChip microarray data require the estimation of probe set expression summaries, followed by application of statistical tests to determine which genes are differentially expressed. The S-Score algorithm described by Zhang and colleagues is an alternative method that allows tests of hypotheses directly from probe level data. It is based on an error model in which the detected signal is proportional to the probe pair signal for highly expressed genes, but approaches a background level (rather than 0) for genes with low levels of expression. This model is used to calculate relative change in probe pair intensities that converts probe signals into multiple measurements with equalized errors, which are summed over a probe set to form the S-Score. Assuming no expression differences between chips, the S-Score follows a standard normal distribution, allowing direct tests of hypotheses to be made. Using spike-in and dilution datasets, we validated the S-Score method against comparisons of gene expression utilizing the more recently developed methods RMA, dChip, and MAS5. RESULTS: The S-score showed excellent sensitivity and specificity in detecting low-level gene expression changes. Rank ordering of S-Score values more accurately reflected known fold-change values compared to other algorithms. CONCLUSION: The S-score method, utilizing probe level data directly, offers significant advantages over comparisons using only probe set expression summaries.