Abstract
AbstractBackgroundOlder patients affected with comorbidities often take a lot of potentially inappropriate drugs. This can cause side effects, hospitalization and even death.AimThe aim of the present study was to assess dangerous drug interactions and potentially inappropriate drugs administered to a sample of ambulatory and home care patients affected with dementia.Methods41 ambulatory outpatients and 53 home care patients affected with dementia were selected randomly between January 1st 2017 and December 31st 2019. They were visited at the Center for Cognitive Disorders and Dementia, Catanzaro Lido, Italy.Personal, clinical data and drugs taken were collected; comorbidities were assessed through CIRS, ADL, IADL, MMSE. Beers criteria were used in order to assess the potentially inappropriate drugs.ResultsOf 100 patients, 64 were women and 36 men, mean age 83,7 ± 4,9 and 82,1 years old ± 11,8 years old respectively. 50% of them were affected with mixed dementia, 13% Alzheimer’s dementia, 9% Parkinsonism, 10% depression with associated cognitive impairment, 18% dementia of other kind. Mean MMSE score was 15,99 ± 8,84. Each patient was taking 9,17 ± 3,31 drugs on the average, 56% of them 5‐9 drugs and 39% 10 drugs or more. 66% of patients was taking one inappropriate drugs or more, proton pump inhibitors (PPI) (51%), atypical and conventional antipsychotics (23% and 6% respectively), benzodiazepines, amiodarone, calcium antagonists (3%), tricyclic antidepressants and a‐blockers (2%), old generation anti‐histamine drugs (1%). 56% of them were taking a drug with anticholinergic properties.ConclusionsThe study shows a high percentage of drugs with anticholinergic properties, which can increase the risk for dementia or even worsen cognitive impairment. Furthermore, inappropriate drugs were stopped and changed with more tolerated compounds. PPI use was dramatically reduced. The study suggests the need for a careful check of treatment in every patient, and for personalizing treatment in older patients with dementia. A larger sample could bring more information to healthcare providers as well as the use of softwares for helping doctors to limit the risk for drug interactions.
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