Evaluation of Anticholinergic Load

Evaluation of Anticholinergic Load

Publication date: Aug 09, 2019

Drugs with anticholinergic properties may cause central and peripheral side effects. Several scales have been developed to evaluate the anticholinergic effect of drugs. Numerous studies have been published, showing a link between the anticholinergic load and the occurrence of adverse effects in the elderly. Anticholinergic Cognitive Burden is a scale that identifies the severity of adverse effects of anticholinergic drugs specifically on cognition including cognitive decline, mental confusion, mild cognitive impairment, and dementia. It was developed from reviews of the medical literature and the calculation of drug affinities for muscarinic receptors. This list of drugs was presented to a team of experts including geriatricians, psychogeriatrists geriatric nurses and pharmacists, who assigned these drugs three scores ranging from 1 to 3: – score 1: drugs with a possible anticholinergic effect on cognition demonstrated in vitro by its affinity for the muscarinic receptor or by calculation of the ASA level (anticholinergic activity of the serum), but without relevant clinical evidence of cognitive adverse effects; – scores 2 and 3: drugs whose moderate or severe anticholinergic effect on cognition has been clearly established clinically. The drugs of scores 2 or 3 are differentiated by their ability to cause confusion and their properties to penetrate or not the blood-brain barrier. The sum of the scores of the different drugs taken by the patient determines the cumulative cognitive risk score related to anticholinergics. This ACB scale seems to be the most relevant in Parkinsonian patients. Parkinson’s disease (PD) is described for the first time in 1817 by an English doctor who gives it his name. Parkinson’s disease is a chronic, slowly progressive condition defined by the presence of motor symptoms (resting tremor, slowness and difficulty of movement or bradykinesia, muscle rigidity, equilibrium disorders) associated with variable non-motor symptoms ( such as constipation, fatigue, depression and anxiety, sleep disorders, impaired sense of smell, cognitive disorders). Age is the main risk factor for the disease (?). There is a significant increase in the number of cases due to the aging of the population and the improvement in life expectancy. By 2030, the number of Parkinson’s patients could increase by 56% with 1 in 120 people over 45 with the disease. Parkinsonian patients are subjected to a higher anticholinergic load, by the therapeutics used in their pathologies (antidepressants, neuroleptics, antiparkinsonians, etc …). These central and peripheral anticholinergic effects may add to the symptomatology in Parkinson’s patients and aggravate their pathology. My study project aims to improve the management of elderly patients with Parkinson’s disease. Hypothesis: People involved in the management of Parkinson’s patients are not always aware of the potential anticholinergic effects of drugs. Indeed, anticholinergic effects can be responsible for many hospitalizations in the elderly. This is why we want to make an inventory of treatments in Parkinson’s patients at the entrance of hospitalization by evaluating the anticholinergic load using the ACB scale and the hospitalization exit in order to know if this score changed after informing the doctors responsible

Concepts Keywords
ACB Resting tremor
Affinity RTT
Aging Population Muscarinic antagonists
Anticholinergic Anticholinergic
Anticholinergics Psychiatric diagnosis
Antidepressants Parkinson’s disease
Anxiety Medicine
ASA Health
Blood Brain Barrier Branches of biology
Bradykinesia
Cognition
Cognitive
Constipation
Dementia
Depression
Equilibrium
Fatigue
Geriatric
Mental Confusion
Mild Cognitive Impairment
Montpellier
Muscarinic Receptor
Muscarinic Receptors
Muscle Rigidity
Neuroleptics
Parkinson
Parkinsonian
Pathologies
Pathology
Progressive
Risk Factor
Serum
Sleep Disorders
Tremor

Semantics

Type Source Name
disease MESH cognitive decline
disease MESH confusion
disease MESH dementia
disease DOID dementia
drug DRUGBANK Acetylsalicylic acid
gene UNIPROT ARSA
disease MESH resting tremor
disease MESH bradykinesia
disease MESH muscle rigidity
disease DOID constipation
disease MESH depression
disease MESH anxiety
disease DOID anxiety
disease MESH sleep disorders
gene UNIPROT RENBP
disease MESH risk factor
disease MESH aging
pathway BSID Aging
disease MESH Parkinson Disease
disease DOID Parkinson Disease

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