Deprescribing in Older Poly-Treated Patients Affected with Dementia
Abstract
:1. Introduction
2. Methods
- Personal data: age, sex, and kind of patient—if outpatient or at home.
- Clinical-pathological data: identification of the main diagnosis, and the possible co-morbidities.
- Cumulative Illness Rating Scale (CIRS): this is a valuable tool to indicate the health status of older, frail subjects. We can obtain two indices, severity and comorbidity, which are effective in predicting outcomes of hospitalization, disability, and mortality. The severity index results from the average of the scores obtained by considering 13 categories concerning the functionality of all organs and apparatus excluding psychiatric–behavioral pathologies. The score ranges between 1 (absence of pathology) up to a maximum of 6 (very serious pathological condition). The comorbidity index represents the number of categories in which a score greater than or equal to 3 is obtained, also excluding in this case psychiatric–behavioral pathologies. The doctor, based on the clinical history, the objective examination, and the present symptomatology define the level of severity of the pathological conditions of the patient [12].
- Functional assessment scales: ADL (Activity of Daily Living) and IADL (Instrumental Activity of Daily Living) both specify the level of activity that the older person is able to perform.
- Cognitive Assessment scales: MMSE (Mini-Mental State Examination), a test for the assessment of cognitive efficiency and the presence of cognitive impairment. It is based on an assessment scale from 0 (maximum cognitive deficit) to 30 (no cognitive deficit). About the score obtained, a classification is performed:
- 26–30—normal condition;
- 25 borderline;
- 18–24 mild to moderate impairment;
- 13–17 medium-severe cognitive impairment;
- <13 severe deterioration.
- Pharmacological history: The pharmacological therapy of each patient was fully evaluated and for each drug indicated, the category, the active substance, the prescribed dose, and the frequency of administration was recorded. Over-the-counter products such as supplements have also been included because they can be responsible for drug interactions, including serious interactions. Finally, the total number of drugs taken by the patient was analyzed. In the case of suspected ADR, Naranjo’s algorithm was applied [1,14]. The study of possible drug–drug interactions was carried out using Micromedex 2.0 [15].
- Evaluation of potentially inappropriate drugs: using the Beers and STOPP&START criteria, the possible intake of potentially inappropriate drugs was evaluated. The STOPP&START criteria were used to facilitate the deprescribing process or, in any case, to address patients’ treatment correctly. Inappropriate or potentially inappropriate drugs, duplicate drugs, resulting from possible prescriptive errors or lack of control of therapy, and drugs inducing potentially dangerous interactions were assessed.
- Evaluating the possible presence of duplicate drugs, or in the context of polypharmacy, the risk of iatrogenic damage for drug–drug and drug–disease interactions.
- Personalizing treatment to reduce ADR and consequently the indirect costs for health;
- Developing possible suggestions to target the pharmacological management of the poly-treated patient as correctly as possible.
Statistical Analysis
3. Results
3.1. Potentially Inappropriate Drugs
3.2. Duplicate Drugs
3.3. Drugs Potentially Dangerous for Interaction
4. Discussion
5. Conclusions
- In our study, we showed an incredible number of over prescriptions; one should never prescribe a new drug without checking the other drugs that the patient already takes. It is always advisable to assess the risk/benefit ratio for each new drug.
- We should periodically re-evaluate drug treatment, because older people often take drugs for several years without a real need; the collaboration among general practitioners, geriatricians, and pharmacologists is a fundamental step to this scope.
- A rational approach to drug treatment consists in the personalization and simplification of therapy; we tried to do so in our study, stopping the administration of potentially dangerous drugs and changing them with more tolerated drugs. For example, the use of anticholinergics and benzodiazepines, especially long half-life benzodiazepines should be avoided the more the possible.
- We should reduce the number of drugs administered as much as possible in order to improve compliance and maintain a high alert threshold to avoid potentially harmful interactions.
- Priority should be given to the discontinuation of drugs with the lowest benefit/harm ratio and the lowest probability of adverse reactions due to withdrawal or rebound syndrome. For example, in our study, NSAIDs, alpha-blockers, and drugs with anticholinergic properties were discontinued.
- Currently, there are no guidelines to properly address the comorbidities and management complexities of the patient. The Beers criteria (defining the use of potentially inappropriate drugs), and the STOPP&START criteria can be useful tools to this aim.
- Every doctor should be aware of the possible cascade prescriptions, enemies of the older poly-treated patient.
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Drugs with Narrow Therapeutic Index | Drugs with High Therapeutic Index |
---|---|
Aminoglycosides | Beta-blockers |
Quinidine | Buspirone |
Digoxin | Chlordiazepoxide |
Phenytoin | Diazepam |
Lidocaine | Ibuprofen |
Procainamide | Lorazepam |
Lithium salts | Oxazepam |
Teophylline | Tetrahydrocannabidol |
Vancomycin | |
Dicumarols |
Outpatients | Home Patients | p | All the Sample | |
---|---|---|---|---|
N | 114 | 91 | 205 | |
Age, years | 80.2 ± 7.3 | 85.7 ± 6.4 | 0.001 | 82.7 ± 7.4 |
Gender | ||||
Men | 38 (33.4%) | 31 (34.1%) | 69 (33.6%) | |
Women | 76 (66.6%) | 60 (65.9%) | 136 (66.4%) | |
Education | 5.4 ± 2.9 | 4.8 ± 2.1 | 0.09 | 5.1 ± 2.4 |
CIRS: | ||||
Comorbidity index | 4.2 ± 1.5 | 4.8 ± 1.7 | 0.008 | 4.53 ± 1.17 |
Severity index | 1.6 ± 0.2 | 1.7 ± 0.2 | 0.001 | 1.76 ± 0.85 |
MMSE | 20.7 ± 3.5 | 16.4 ± 4.3 | 0.001 | 18.2 ± 3.9 |
ADL | 2.9 ± 1.1 | 1.3 ± 1.05 | 0.001 | 2.23 ± 1.08 |
IADL | 2.31 ± 1.2 | 0.74 ± 1.07 | 0.001 | 1.65 ± 1.13 |
Main diagnosis | x/114 | y/91 | x + y/205 | |
Mixed dementia | 15 (13.1%) | 19 (20.8%) | 34 (16.7%) | |
Alzheimer’s dementia | 24 (21.1%) | 17 (18.6%) | 41 (20%) | |
Vascular dementia | 19 (16.7%) | 16 (17.5%) | 35 (17.3%) | |
Frontotemporal dementia | 3 (2.6%) | 2 (2.2%) | 5 (2.4%) | |
Lewy Body Dementia | 1 (0.9%) | 1 (1.1%) | 2 (0.9%) | |
Parkinson-dementia | 2 (1.7%) | 1 (1.1%) | 3 (1.5%) | |
MCI | 9 (7.9%) | 2 (2.2%) | 11 (5.5%) | |
Parkinsonism | 6 (5.3%) | 4 (4.4%) | 10 (4.4%) | |
Depression | 11 (9.6%) | 9 (9.9%) | 20 (9.7%) | |
Previous stroke | 7 (6.1%) | 8 (8.8%) | 15 (7.4%) | |
Other | 17 (14.9%) | 12 (13.2%) | 29 (14.2%) | |
Comorbidities | ||||
Heart disease (ischemia, hypertension, heart failure, atrial fibrillation) | 99 (86.8%) | 84 (92.3%) | 183 (75.7%) | |
Osteoarthritis | 87 (76.3%) | 85 (93.4%) | 172 (83.9%) | |
Diabetes | 59 (51.7%) | 78 (85.7%) | 137 (66.8%) | |
COPD | 65 (57.01%) | 68 (74.7%) | 58 (16.5%) | |
BPSD | 59 (51.7%) | 65 (71.4%) | 123 (60%) | |
Drugs | ||||
Cholinesterase inhibitors | 62 (54.4%) | 28 (30.7%) | 90 (43.9%) | |
Memantine | 32 (28.1%) | 21 (23.1%) | 53 (25.8%) | |
Cardiovascular drugs | 99 (86.8%) | 84 (92.3%) | 183 (89.2%) | |
NSAIDs | 18 (15.8%) | 24 (26.4%) | 42 (20.5%) | |
Antidiabetics | 67 (58.7%) | 70 (76.9%) | 137 (66.8%) | |
Benzodiazepines | 31 (27.2%) | 38 (41.7%) | 69 (33.6%) | |
Antipsychotics | 65 (57.1%) | 72 (79.1%) | 153 (74.6%) | |
Other | 8 (7.1%) | 10 (10.9%) | 18 (8.8%) | |
Mean drugs used | 9.8 ± 4.4 | 8.9 ± 3.5 | 0.113 | 9.4 ± 3.9 |
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Gareri, P.; Gallelli, L.; Gareri, I.; Rania, V.; Palleria, C.; De Sarro, G. Deprescribing in Older Poly-Treated Patients Affected with Dementia. Geriatrics 2024, 9, 28. https://doi.org/10.3390/geriatrics9020028
Gareri P, Gallelli L, Gareri I, Rania V, Palleria C, De Sarro G. Deprescribing in Older Poly-Treated Patients Affected with Dementia. Geriatrics. 2024; 9(2):28. https://doi.org/10.3390/geriatrics9020028
Chicago/Turabian StyleGareri, Pietro, Luca Gallelli, Ilaria Gareri, Vincenzo Rania, Caterina Palleria, and Giovambattista De Sarro. 2024. "Deprescribing in Older Poly-Treated Patients Affected with Dementia" Geriatrics 9, no. 2: 28. https://doi.org/10.3390/geriatrics9020028
APA StyleGareri, P., Gallelli, L., Gareri, I., Rania, V., Palleria, C., & De Sarro, G. (2024). Deprescribing in Older Poly-Treated Patients Affected with Dementia. Geriatrics, 9(2), 28. https://doi.org/10.3390/geriatrics9020028