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Anticholinergic burden (AB) is related to cognitive impairment (CI) and older complex chronic patients (OCCP) are more susceptible. Our objective was to evaluate the predictive value of ten anticholinergic scales to predict a potential CI due to anticholinergic pharmacotherapy in OCCP. An eight-month longitudinal multicentre study was carried out in a cohort of OCCP, in treatment with at least one anticholinergic drug and whose cognition status had been evaluated by Pfeiffer test twice for a period of 6-15 months. CI was considered when the Pfeiffer test increased 2 or more points. AB was detected using ten scales included on the Anticholinergic Burden Calculator. An ROC curve analysis was performed to assess the discriminative capacity of the scales to predict a potential CI and the cut-off point of AB that obtains better validity indicators. 415 patients were included (60.2% female, median age of 85 years (IQR = 11)). 190 patients (45.8%) manifested CI. Only the DBI (Drug Burden Index) showed statistically significant differences in the median AB between patients without CI and with CI (0.5 (1.00) vs. 0.67 (0.65), = 0.006). At the ROC curve analysis, statistically significant values were obtained only with the DBI (AUC: 0.578 (0.523-0.633), = 0.006). The cut-off point with the greatest validity selected for the DBI was an AB of 0.41 (moderate risk) (sensitivity = 81%, specificity = 36%, PPV = 51%). The DBI is the scale with the greatest discriminatory power to detect OCCP at risk of CI and the best cut-off point is a load value of 0.41.
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http://dx.doi.org/10.3390/jcm11123357 | DOI Listing |
Res Social Adm Pharm
December 2024
Departamento de Medicina Preventiva y Salud Pública, Universidad de Sevilla, Avenida Doctor Fedriani S/N, CP 41009, Sevilla, Spain.
Background: The rising prevalence of chronic conditions and polypharmacy in the elderly increases the risk of anticholinergic burden, the cumulative effect of multiple anticholinergic drugs. However, no standard exists for assessing anticholinergic burden in these patients, resulting in various anticholinergic scales with differing methodologies and outcomes.
Objectives: To identify existing anticholinergic scales that are applicable to elderly chronic patients and to compare their main characteristics, included drugs and anticholinergic potential scores.
BMC Geriatr
December 2024
School of Pharmacy, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand.
Background: Exposure to high anticholinergic burden is associated with adverse outcomes in older adults. Older adults with frailty have greater vulnerability to adverse anticholinergic effects. There is limited data on anticholinergic burden in hospitalised older adults with frailty particularly, in New Zealand.
View Article and Find Full Text PDFMedicine (Baltimore)
December 2024
Department of Pharmacy, Tangshan Gongren Hospital, Tangshan, Hebei Province, China.
Medication therapy management (MTM) includes various clinical pharmacy services that greatly influence society and economy. Despite extensive research in recent years, there is currently a lack of bibliometric analysis on this subject. Articles and reviews on MTM published from 2003 to 2023 were identified and selected from the Web of Science Core Collection.
View Article and Find Full Text PDFJ Am Geriatr Soc
December 2024
School of Pharmacy, University of Washington, Seattle, Washington, USA.
Background: Anticholinergic exposure is associated with dementia risk; however, the mechanisms for this association remain unclear. The objective of this study was to examine the association between anticholinergic exposure and white matter hyperintensity (WMH) burden.
Methods: This was a retrospective analysis of data from the Adult Changes in Thought (ACT) study, a prospective cohort study among adults aged ≥65 years on dementia risk factors.
Alzheimers Dement (Amst)
December 2024
Introduction: Little is known regarding the relationship between anticholinergic medications and frailty in dementia with Lewy bodies (DLB).
Methods: Anticholinergic Cognitive Burden Scale (ACB) and Claims-based Frailty Index scores were calculated for 12 months prior to the dementia diagnosis using electronic medical record and claims data. Logistic regression was used to estimate the association between ACB and odds of frailty.
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