Publication related to RSI or an RSI staff member

Associations between Anticholinergic Burden and Adverse Health Outcomes in Parkinson Disease.

BACKGROUND: Elderly adults should avoid medications with anticholinergic effects since they may increase the risk of adverse events, including falls, delirium, and cognitive impairment. However, data on anticholinergic burden are limited in subpopulations, such as individuals with Parkinson disease (PD). The objective of this study was to determine whether anticholinergic burden was associated with adverse outcomes in a PD inpatient population. METHODS: Using the Cerner Health Facts(R) database, we retrospectively examined anticholinergic medication use, diagnoses, and hospital revisits within a cohort of 16,302 PD inpatients admitted to a Cerner hospital between 2000 and 2011. Anticholinergic burden was computed using the Anticholinergic Risk Scale (ARS). Primary outcomes were associations between ARS score and diagnosis of fracture and delirium. Secondary outcomes included associations between ARS score and 30-day hospital revisits. RESULTS: Many individuals (57.8%) were prescribed non-PD medications with moderate to very strong anticholinergic potential. Individuals with the greatest ARS score (>/= 4) were more likely to be diagnosed with fractures (adjusted odds ratio (AOR): 1.56, 95% CI: 1.29-1.88) and delirium (AOR: 1.61, 95% CI: 1.08-2.40) relative to those with no anticholinergic burden. Similarly, inpatients with the greatest ARS score were more likely to visit the emergency department (adjusted hazard ratio (AHR): 1.32, 95% CI: 1.10-1.58) and be readmitted (AHR: 1.16, 95% CI: 1.01-1.33) within 30-days of discharge. CONCLUSIONS: We found a positive association between increased anticholinergic burden and adverse outcomes among individuals with PD. Additional pharmacovigilance studies are needed to better understand risks associated with anticholinergic medication use in PD.

Authors

  • Crispo, James A G, Crispo JA, McLaughlin Centre for Population Health Risk Assessment, University of Ottawa, Ottawa, Ontario, Canada.; Fulbright Canada Student, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.

  • Willis, Allison W, Willis AW, Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America.; Department of Biostatistics and Epidemiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America.; Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America.

  • Thibault, Dylan P, Thibault DP, Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America.; Department of Biostatistics and Epidemiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America.; Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America.

  • Fortin, Yannick, Fortin Y, McLaughlin Centre for Population Health Risk Assessment, University of Ottawa, Ottawa, Ontario, Canada.

  • Hays, Harlen D, Hays HD, Cerner Corporation, Kansas City, Missouri, United States of America.

  • McNair, Douglas S, McNair DS, Cerner Corporation, Kansas City, Missouri, United States of America.

  • Bjerre, Lise M, Bjerre LM, C. T. Lamont Primary Health Care Research Centre, Department of Family Medicine, University of Ottawa, Ottawa, Ontario, Canada.; Bruyère Research Institute, Ottawa, Ontario, Canada.; School of Epidemiology, Public Health and Preventive Medicine, University of Ottawa, Ottawa, Ontario, Canada.

  • Kohen, Dafna E, Kohen DE, School of Epidemiology, Public Health and Preventive Medicine, University of Ottawa, Ottawa, Ontario, Canada.

  • Perez-Lloret, Santiago, Perez-Lloret S, Cardiology Research Institute, University of Buenos Aires, National Research Council (ININCA-UBA-CONICET), Buenos Aires, Argentina.

  • Mattison, Donald R, Mattison DR, McLaughlin Centre for Population Health Risk Assessment, University of Ottawa, Ottawa, Ontario, Canada.; Risk Sciences International, Ottawa, Ontario, Canada.

  • Krewski, Daniel, Krewski D, McLaughlin Centre for Population Health Risk Assessment, University of Ottawa, Ottawa, Ontario, Canada.; Risk Sciences International, Ottawa, Ontario, Canada.

YEAR OF PUBLICATION: 2016
SOURCE: PLoS One. 2016 Mar 3;11(3):e0150621. doi: 10.1371/journal.pone.0150621. eCollection 2016.
JOURNAL TITLE ABBREVIATION: PLoS One
JOURNAL TITLE: PloS one
ISSN: 1932-6203 (Electronic) 1932-6203 (Linking)
VOLUME: 11
ISSUE: 3
PAGES: e0150621
PLACE OF PUBLICATION: United States
ABSTRACT:
BACKGROUND: Elderly adults should avoid medications with anticholinergic effects since they may increase the risk of adverse events, including falls, delirium, and cognitive impairment. However, data on anticholinergic burden are limited in subpopulations, such as individuals with Parkinson disease (PD). The objective of this study was to determine whether anticholinergic burden was associated with adverse outcomes in a PD inpatient population. METHODS: Using the Cerner Health Facts(R) database, we retrospectively examined anticholinergic medication use, diagnoses, and hospital revisits within a cohort of 16,302 PD inpatients admitted to a Cerner hospital between 2000 and 2011. Anticholinergic burden was computed using the Anticholinergic Risk Scale (ARS). Primary outcomes were associations between ARS score and diagnosis of fracture and delirium. Secondary outcomes included associations between ARS score and 30-day hospital revisits. RESULTS: Many individuals (57.8%) were prescribed non-PD medications with moderate to very strong anticholinergic potential. Individuals with the greatest ARS score (>/= 4) were more likely to be diagnosed with fractures (adjusted odds ratio (AOR): 1.56, 95% CI: 1.29-1.88) and delirium (AOR: 1.61, 95% CI: 1.08-2.40) relative to those with no anticholinergic burden. Similarly, inpatients with the greatest ARS score were more likely to visit the emergency department (adjusted hazard ratio (AHR): 1.32, 95% CI: 1.10-1.58) and be readmitted (AHR: 1.16, 95% CI: 1.01-1.33) within 30-days of discharge. CONCLUSIONS: We found a positive association between increased anticholinergic burden and adverse outcomes among individuals with PD. Additional pharmacovigilance studies are needed to better understand risks associated with anticholinergic medication use in PD.
LANGUAGE: eng
DATE OF PUBLICATION: 2016
DATE OF ELECTRONIC PUBLICATION: 20160303
DATE COMPLETED: 20160802
DATE REVISED: 20220409
MESH DATE: 2016/08/03 06:00
EDAT: 2016/03/05 06:00
STATUS: MEDLINE
PUBLICATION STATUS: epublish
LOCATION IDENTIFIER: 10.1371/journal.pone.0150621 [doi] e0150621
OWNER: NLM

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Daniel Krewski

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Dr. Daniel Krewski is Chief Risk Scientist and co-founder of Risk Sciences International (RSI), a firm established in 2006 to bring evidence-based, multidisciplinary expertise to the challenge of understanding, managing, and communicating risk. As RSI’s inaugural CEO and long-time scientific...
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