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OBJECTIVE: Cognitive changes are heterogeneous in Parkinson's disease (PD). This study compared whether anticholinergic burden drives differences in cognitive domain performance and empirically-derived PD-cognitive phenotypes. METHOD: A retrospective chart review contained participants (n = 493) who had idiopathic PD without dementia. Participants' medications were scored (0-3) and summed based on the anticholinergic cognitive burden scale (ACBS). We examined the ACBS' relationship to five cognitive domain composites (normative z-scores) and three (K-means clustering based) cognitive phenotypes: cognitively intact, low executive function (EF), and predominately impaired EF/memory. Analyses included Spearman correlations, analysis of covariance, and Pearson chi-squared test. RESULTS: Overall, phenotypes did not differ in anticholinergic burden, and (after false-discovery-rate corrections) no cognitive domains related. When comparing those above and below the clinically relevant ACBS cutoff (i.e., score ≥3), no significant phenotype or domain differences were found. CONCLUSIONS: Anticholinergic medication usage did not drive cognitive performance in a large clinical sample of idiopathic PD without dementia.
RESUMO
Background: Patients with cancer seen in rural and underserved areas disproportionately face barriers to access genetic services. Genetic testing is critical to inform treatment decisions, for early detection of another cancer, and to identify at-risk family members who may benefit from screening and prevention. Objective: To examine medical oncologists' genetic testing ordering trends for patients with cancer. Design, Setting, and Participants: This prospective quality improvement study was performed in 2 phases over 6 months between August 1, 2020, and January 31, 2021, at a community network hospital. Phase 1 focused on observation of clinic processes. Phase 2 incorporated peer coaching from cancer genetics experts for medical oncologists at the community network hospital. The follow-up period lasted 9 months. Main Outcomes and Measures: The number of genetic tests ordered was compared between phases. Results: The study included 634 patients (mean [SD] age, 71.0 [10.8] years [range, 39-90 years]; 409 women [64.5%]; 585 White [92.3%]); 353 (55.7%) had breast cancer, 184 (29.0%) had prostate cancer, and 218 (34.4%) had a family history of cancer. Of the 634 patients with cancer, 29 of 415 (7.0%) received genetic testing in phase 1, and 25 of 219 (11.4%) received genetic testing in phase 2. Of the 29 patients who received testing in phase 1, 20 (69.0%) had germline genetic testing; 23 of 25 patients (92.0%) had germline genetic testing in phase 2. Uptake of germline genetic testing increased by 23.0% between phases, but the difference was not statistically significant (P = .06). Uptake of germline genetic testing was highest among patients with pancreatic cancer (4 of 19 [21.1%]) and ovarian cancer (6 of 35 [17.1%]); the National Comprehensive Cancer Network (NCCN) recommends offering genetic testing to all patients with pancreatic cancer and ovarian cancer. Conclusions and Relevance: This study suggests that peer coaching from cancer genetics experts was associated with an increase in ordering of genetic testing by medical oncologists. Efforts made to (1) standardize gathering of personal and family history of cancer, (2) review biomarker data suggestive of a hereditary cancer syndrome, (3) facilitate ordering tumor and/or germline genetic testing every time NCCN criteria are met, (4) encourage data sharing between institutions, and (5) advocate for universal coverage for genetic testing may help realize the benefits associated with precision oncology for patients and their families seeking care at community cancer centers.