When cardiovascular medicines should be discontinued.

An integral component of the practice of medicine is focused on the initiation of medications, based on clinical practice guidelines and underlying trial evidence, which usually test the addition of novel medications intended for life-long use in short-term clinical trials. Much less attention is given to the question of medication discontinuation, especially after a lengthy period of treatment, during which patients age gets older and diseases may either progress or new diseases may emerge. Given the paucity of data, clinical practice guidelines offer little to no guidance on when and how to deprescribe cardiovascular medications. Such decisions are often left to the discretion of clinicians, who, together with their patients, express concern of potential adverse effects of medication discontinuation. Even in the absence of adverse effects, the continuation of medications without any proven effect may cause harm due to drug-drug interactions, the emergence of polypharmacy, and additional preventable spending to already strained health systems. Herein, several cardiovascular medications or medication classes are discussed that in the opinion of this author group should generally be discontinued, either for the prevention of potential harm, for a lack of benefit, or for the availability of better alternatives.

Deprescribing of antidepressants: development of indicators of high-risk and overprescribing using the RAND/UCLA Appropriateness Method.

BACKGROUND: Antidepressants are first-line medications for many psychiatric disorders. However, their widespread long-term use in some indications (e.g., mild depression and insomnia) is concerning. Particularly in older adults with comorbidities and polypharmacy, who are more susceptible to adverse drug reactions, the risks and benefits of treatment should be regularly reviewed. The aim of this consensus process was to identify explicit criteria of potentially inappropriate antidepressant use (indicators) in order to support primary care clinicians in identifying situations, where deprescribing of antidepressants should be considered. METHODS: We used the RAND/UCLA Appropriateness Method to identify the indicators of high-risk and overprescribing of antidepressants. We combined a structured literature review with a 3-round expert panel, with results discussed in moderated meetings in between rounds. Each of the 282 candidate indicators was scored on a 9-point Likert scale representing the necessity of a critical review of antidepressant continuation (1-3 = not necessary; 4-6 = uncertain; 7-9 = clearly necessary). Experts rated the indicators for the necessity of review, since decisions to deprescribe require considerations of patient risk/benefit balance and preferences. Indicators with a median necessity rating of ≥ 7 without disagreement after 3 rating rounds were accepted. RESULTS: The expert panel comprised 2 general practitioners, 2 clinical pharmacologists, 1 gerontopsychiatrist, 2 psychiatrists, and 3 internists/geriatricians (total N = 10). After 3 assessment rounds, there was consensus for 37 indicators of high-risk and 25 indicators of overprescribing, where critical reviews were felt to be necessary. High-risk prescribing indicators included settings posing risks of drug-drug, drug-disease, and drug-age interactions or the occurrence of adverse drug reactions. Indicators with the highest ratings included those suggesting the possibility of cardiovascular risks (QTc prolongation), delirium, gastrointestinal bleeding, and liver injury in specific patient subgroups with additional risk factors. Overprescribing indicators target patients with long treatment durations for depression, anxiety, and insomnia as well as high doses for pain and insomnia. CONCLUSIONS: Explicit indicators of antidepressant high-risk and overprescribing may be used directly by patients and health care providers, and integrated within clinical decision support tools, in order to improve the overall risk/benefit balance of this commonly prescribed class of prescription drugs.

Anticholinergic deprescribing: A case report demonstrating improved cognition and function with minimal adverse withdrawal effects.

Anticholinergic-induced cognitive impairment may be partially reversible upon cessation. A barrier to deprescribing of anticholinergics is the unknown risk of anticholinergic adverse drug withdrawal events (ADWE), with only limited information available on the incidence, timing and severity of anticholinergic ADWE. We report the case of a 76-year-old woman who experienced significant cognitive improvement following deprescribing long-term use of a strong anticholinergic drug, doxepin, and dose reduction of another possible anticholinergic agent. The patient decided to abruptly stop taking doxepin, despite a planned careful taper with twice weekly monitoring, but did not experience any severe anticholinergic ADWE and subsequently had significantly improved cognitive function. Future research should focus on better understanding the risk of anticholinergic ADWE so that anticholinergic deprescribing decisions, including how often and by how much to taper, can be made confidently and safely.

Strategies for Identifying Patients for Deprescribing of Blood Pressure Medications in Routine Practice: An Evidence Review.

PURPOSE OF REVIEW: To summarise the evidence regarding which patients might benefit from deprescribing antihypertensive medications. RECENT FINDINGS: Older patients with frailty, multi-morbidity and subsequent polypharmacy are at higher risk of adverse events from antihypertensive treatment, and therefore may benefit from antihypertensive deprescribing. It is possible to examine an individual's risk of these adverse events, and use this to identify those people where the benefits of treatment may be outweighed by the harms. While such patients might be considered for deprescribing, the long-term effects of this treatment strategy remain unclear. Evidence now exists to support identification of those who are at risk of adverse events from antihypertensive treatment. These patients could be targeted for deprescribing interventions, although the long-term benefits and harms of this approach are unclear. PERSPECTIVES: Randomised controlled trials are still needed to examine the long-term effects of deprescribing in high-risk patients with frailty and multi-morbidity.

Antidepressant deprescribing: State of the art and recommendations-A literature overview.

INTRODUCTION: In recent years, the consumption of antidepressants has arisen. However, deprescribing antidepressant therapy is very complicated. The aim of this study was to implement practical recommendations for the development of guidelines to be used for antidepressant deprescription in clinical practice. MATERIALS AND METHODS: The literature search has been conducted on March 13, 2023, using Scopus and PubMed databases. The following search string has been used: "antidepressants AND (deprescribing OR deprescription)". All studies reporting a deprescribing intervention for antidepressant medication, regardless of the study design, have been included. Studies that did not report antidepressant drug deprescription interventions and non-English-language papers have been excluded. RESULTS: From the literature search, a total of 230 articles have been extracted. Applying the exclusion criteria, 26 articles have been considered eligible. Most of the analyzed studies (16, 61%) have been carried out in the real world, 3 (11%) were RCTs, 5 (19%) were qualitative studies, in particular expert opinions, 1 (4%) was a literature review, and 1 (4%) was a post-trial observational follow-up of an RCT. In 8 out of 26 studies (31%), the analyzed antidepressants have been specified: 2 (8%) focused on anticholinergics, 2 (8%) on SSRIs, 3 (11%) on tricyclic antidepressants, and 1 (4%) on esketamine. Nineteen out of 26 studies (73%) did not stratify antidepressants by therapeutic class. The sample sizes analyzed in the studies ranged from a minimum of 4 patients to a maximum of 113,909, and 12 studies included geriatric age as an inclusion criterion. A patient's therapy review has been the main deprescribing intervention, and it has been identified in 14 (54%) articles. Interventions have been carried out by clinicians in 4 (15%) studies, general practitioners in 5 (19%) studies, nurses in 2 (8%) studies, pharmacists in 4 (15%) studies, multidisciplinary teams in 10 (38%) studies, and patients in 1 (4%) study. CONCLUSIONS: From the literature review, it emerged that there is no clear evidence useful to support clinicians in antidepressant deprescribing interventions.

Validating claims-based definitions for deprescribing: Bridging the gap between clinical and administrative data.

BACKGROUND: Limited research has evaluated the validity of claims-based definitions for deprescribing. OBJECTIVES: Evaluate the validity of claims-based definitions of deprescribing against electronic health records (EHRs) for deprescribing of benzodiazepines (BZDs) after a fall-related hospitalization. METHODS: We used a novel data linkage between Medicare fee-for-service (FFS) and Part D with our health system's EHR. We identified patients aged ≥66 years with a fall-related hospitalization, continuous enrollment in Medicare FFS and Part D for 6 months pre- and post-hospitalization, and ≥2 BZD fills in the 6 months pre-hospitalization. Using a standardized EHR abstraction tool, we adjudicated deprescribing for a sub-sample with a fall-related hospitalization at UNC. We evaluated the validity of claims-based deprescribing definitions (e.g., gaps in supply, dosage reductions) versus chart review using sensitivity and specificity. RESULTS: Among 257 patients in the overall sample, 44% were aged 66-74 years, 35% had Medicare low-income subsidy, 79% were female. Among claims-based definitions using gaps in supply, the prevalence of BZD deprescribing ranged from 8.2% (no refills) to 36.6% (30-day gap). When incorporating dosage, the prevalence ranged from 55.3% to 65.8%. Among the validation sub-sample (n = 47), approximately one-third had BZDs deprescribed in the EHR. Compared to EHR, gaps in supply from claims had good sensitivity, but poor specificity. Incorporating dosage increased sensitivity, but worsened specificity. CONCLUSIONS: The sensitivity of claims-based definitions for deprescribing of BZDs was low; however, the specificity of a 90-day gap was >90%. Replication in other EHRs and for other low-value medications is needed to guide future deprescribing research.

Influence of chronic medical conditions on older patients' willingness to deprescribe medications: a cross-sectional study.

BACKGROUND: Aging correlates with a heightened prevalence of chronic diseases, resulting in multimorbidity affecting 60% of those aged 65 or older. Multimorbidity often leads to polypharmacy, elevating the risk of potentially inappropriate medication (PIM) use and adverse health outcomes. To address these issues, deprescribing has emerged as a patient-centered approach that considers patients' beliefs and attitudes toward medication and reduces inappropriate polypharmacy in older adults. Our study aims to investigate whether certain chronic medical conditions are associated with older patients' willingness to deprescribe medications. METHODS: A cross-sectional study enrolled 192 community-dwelling individuals aged 65 or older taking at least one regular medication. Data included demographics, clinical characteristics, and responses to the Portuguese revised Patients' Attitudes Towards Deprescribing (rPATD) questionnaire. Descriptive statistics characterized participants, while multiple binary logistic regression identified associations between chronic medical conditions and willingness to deprescribe. RESULTS: Among the participants (median age: 72 years, 65.6% female), 91.6% had multimorbidity. The analysis revealed that willingness to deprescribe significantly increased with the presence of gastric disease (adjusted odds ratio [aOR] = 4.123; 95% CI 1.221, 13.915) and age (aOR = 1.121; 95% CI 1.009, 1.246). Conversely, prostatic pathology (aOR = 0.266; 95% CI 0.077, 0.916), higher scores in the rPATD appropriateness factor (aOR = 0.384; 95% CI 0.190, 0.773), and rPATD concerns about stopping factor (aOR = 0.450; 95% CI 0.229, 0.883) diminished patients' willingness to deprescribe. CONCLUSIONS: This study highlights the intricate relationship between older patients' attitudes toward deprescribing and chronic medical conditions. We found that gastric disease was associated with an increased willingness to deprescribe medications, while prostate disease was associated with the opposite effect. Future research should explore how patients with specific diseases or groups of diseases perceive deprescribing of medications general and for specific medications, aiding in the development of targeted interventions.

Deprescribing in older adults in a French community: a questionnaire study on patients' beliefs and attitudes.

BACKGROUND: General practitioners (GPs) have a central role to play on reduction of polypharmacy and deprescribing. This study aimed to assess beliefs and attitudes towards deprescribing in patients, aged 65 years or older in primary care, and to identify factors associated with deprescribing and their willingness to stop medication. METHODS: A questionnaire study was performed between 23 May and 29 July 2022 on patients aged 65 years or older attending a GP's surgery in a French area. We used the French version of the revised Patients' Attitudes Towards Deprescribing self-report questionnaire (rPATD), which measures four subscales ("Burden", "Appropriateness", "Concerns about stopping" and, "Involvement"), patients' willingness to stop one of their regular medicines, and patients' satisfaction with their current medicines. RESULTS: The study enrolled 200 patients. Median age was 76 years old (IQR 71-81), 55% were women, and 42.5% took 5 or more medications per day. Although most patients (92.5%) were satisfied with their current medicines, 35% were reluctant to stop medications they had been taking for a long time, and 89.5% were willing to stop medication if asked to by their GP. Patients aged less than 75 years old reported more concerns about stopping. Women and patients with higher educational attainment showed significantly higher involvement in medication management. CONCLUSIONS: The majority of older adults were willing to stop one or more of their regular medicines if asked to do so by their GP. GPs should address deprescribing into their current practice.

Barriers, facilitators and needs to deprescribe benzodiazepines and other sedatives in older adults: a mixed methods study of primary care provider perspectives.

BACKGROUND: Benzodiazepines and other sedative hypnotic drugs (BSHs) are frequently prescribed for sleep problems, but cause substantial adverse effects, particularly in older adults. Improving knowledge on barriers, facilitators and needs of primary care providers (PCPs) to BSH deprescribing could help reduce BSH use and thus negative effects. METHODS: We conducted a mixed methods study (February-May 2023) including a survey, semi-structured interviews and focus groups with PCPs in Switzerland. We assessed barriers, facilitators and needs of PCPs to BSH deprescribing. Quantitative data were analyzed descriptively, qualitative data deductively and inductively using the Theoretical Domain Framework (TDF). Quantitative and qualitative data were integrated using meta-interferences. RESULTS: The survey was completed by 126 PCPs (53% female) and 16 PCPs participated to a focus group or individual interview. The main barriers to BSH deprescribing included patient and PCP lack of knowledge on BSH effects and side effects, lack of PCP education on treatment of sleep problems and BSH deprescribing, patient lack of motivation, PCP lack of time, limited access to cognitive behavioral therapy for insomnia and absence of public dialogue on BSHs. Facilitators included informing on side effects to motivate patients to discontinue BSHs and start of deprescribing during a hospitalization. Main PCP needs were practical recommendations for pharmacological and non-pharmacological treatment of sleep problems and deprescribing schemes. Patient brochures were wished by 69% of PCPs. PCPs suggested the brochures to contain explanations about risks and benefits of BSHs, sleep hygiene and sleep physiology, alternative treatments, discontinuation process and tapering schemes. CONCLUSION: The barriers and facilitators as well as PCP needs and opinions on patient material we identified can be used to develop PCP training and material on BSH deprescribing, which could help reduce the inappropriate use of BSHs for sleep problems.

Considerations, barriers and enablers of deprescribing among healthcare professionals in Ogun State, Southwest, Nigeria: a cross-sectional survey.

BACKGROUND: Deprescribing is a clinical intervention aimed at managing polypharmacy and improving older adults' health outcomes. However, evidence suggests that healthcare professionals (HCPs) may face challenges in implementing the intervention. This study aimed to explore the considerations, barriers and enablers of deprescribing among HCPs in Southwest Nigeria. METHODS: A quantitative cross-sectional survey was carried out among consecutively sampled HCPs including physicians, pharmacists and nurses in two public tertiary healthcare hospitals in Ogun State, Southwest, Nigeria. A structured 43-item self-administered questionnaire was used to explore the participants' sociodemographics, HCPs' experience, considerations, barriers and enablers of deprescribing in older adults. The data were summarised using descriptive statistics including frequency and percentage. The Kruskal-Wallis test was used to determine differences in perceptions among the groups on a Likert scale. A p-value < 0.05 was considered significant. RESULTS: Overall, 453 copies of the questionnaire were analysed. Of the participants 204 (45.0%) were within the age group of 20-30 years; 173 (38.2%) claimed that older adults occasionally requested deprescribing of their medications. The majority (417; 92.1%) considered patients' quality of life to be very important in deprescribing; 423 (93.4%) opined that having a care goal known to members of the HCP team is an enabler for deprescribing while 308 (68.0%) disagreed or strongly disagreed that lack of incentives and remuneration for HCPs that de-prescribe is a barrier to deprescribing. There is a significant difference among the participants across professional groups on the assertion that pressure from pharmaceutical companies is a barrier to deprescribing in older adults (p = 0.037). CONCLUSIONS: The participants in this study had various considerations for deprescribing medication in older adults including patients' quality of life. Having a care goal known to every HCP involved in managing a patient is an enabler for deprescribing while the lack of incentives and remuneration for HCPs that de-prescribe may not necessarily be a barrier to deprescribing. There is a need for regulations and policies to support the identified enablers among HCPs and reduce the barriers to effective deprescribing process.

Pharmacists' attitudes towards interprofessional collaboration to optimise medication use in older patients in Switzerland: a survey study.

BACKGROUND: Collaboration between physicians and pharmacists facilitates the conduct of medication optimisation efforts. In the context of deprescribing, pharmacists' roles are often described as making deprescribing recommendations to physicians. Little is known about factors associated with pharmacists' willingness to make deprescribing recommendations and their interprofessional collaboration with physicians in Swiss primary care settings. OBJECTIVE: To explore pharmacists' perspectives on medication optimisation and deprescribing in older adults, and their preferences for interprofessional collaboration in Swiss primary care settings. METHODS: In this cross-sectional study, a random sample of 1000 pharmacist members of the Swiss Pharmacists Association pharmaSuisse was invited to participate in a survey on medication optimisation, deprescribing, and interprofessional collaboration. The survey contained three case vignettes of multimorbid patients with polypharmacy aged ≥ 80 years old, with different levels of dependency in activities in daily living (ADL) and cardiovascular disease (CVD). For each case vignette, pharmacists were asked if and which medications they would deprescribe. We calculated proportions of pharmacists' willingness to deprescribe by case vignette and performed a multilevel logistic regression to assess associations between CVD, ADL, and willingness to deprescribe. RESULTS: One hundred thirty-eight (14%) pharmacists responded to the survey: 113 (82%) were female, their mean age was 44 years (SD = 11), and 66% (n = 77) reported having never received any specific training on how to conduct structured medication reviews. Eighty-three (72%) pharmacists reported to be confident in identifying deprescribing opportunities. All pharmacists were willing to deprescribe ≥ 1 medication in all vignettes. Patients with CVD were at lower odds of having medications deprescribed (OR = 0.27, 95%CI 0.21 to 0.36). Willingness to deprescribe was lower with higher dependency in ADL (medium versus low dependency: OR = 0.68, 95%CI 0.54 to 0.87, high versus low dependency: OR = 0.72, 95%CI 0.56 to 0.91). However, the effect of dependency in ADL on willingness to deprescribe was significantly modified by the history of CVD. One hundred five pharmacists (97%) reported to interact with physicians to clarify questions regarding prescriptions at least once a week and 88 (81%) wished to be more involved in deprescribing and medication review. CONCLUSION: Pharmacists were willing to make deprescribing suggestions for older patients with polypharmacy, but two-thirds reported having received no formal training on how to perform structured medication reviews. Pharmacists would like to be more involved in the process of medication review and deprescribing, which should be leveraged in the context of Swiss primary care settings.

Medication review and deprescribing in different healthcare settings: a position statement from an Italian scientific consortium.

Recent medical advancements have increased life expectancy, leading to a surge in patients affected by multiple chronic diseases and consequent polypharmacy, especially among older adults. This scenario increases the risk of drug interactions and adverse drug reactions, highlighting the need for medication review and deprescribing to reduce inappropriate medications and optimize therapeutic regimens, with the ultimate goal to improving patients' health and quality of life. This position statement from the Italian Scientific Consortium on medication review and deprescribing aims to describe key elements, strategies, tools, timing, and healthcare professionals to be involved, for the implementation of medication review and deprescribing in different healthcare settings (i.e., primary care, hospital, long-term care facilities, and palliative care). Challenges and potential solutions for the implementation of medication review and deprescribing are also discussed.

Proactive Polypharmacy Management Using Large Language Models: Opportunities to Enhance Geriatric Care.

Polypharmacy remains an important challenge for patients with extensive medical complexity. Given the primary care shortage and the increasing aging population, effective polypharmacy management is crucial to manage the increasing burden of care. The capacity of large language model (LLM)-based artificial intelligence to aid in polypharmacy management has yet to be evaluated. Here, we evaluate ChatGPT's performance in polypharmacy management via its deprescribing decisions in standardized clinical vignettes. We inputted several clinical vignettes originally from a study of general practicioners' deprescribing decisions into ChatGPT 3.5, a publicly available LLM, and evaluated its capacity for yes/no binary deprescribing decisions as well as list-based prompts in which the model was prompted to choose which of several medications to deprescribe. We recorded ChatGPT responses to yes/no binary deprescribing prompts and the number and types of medications deprescribed. In yes/no binary deprescribing decisions, ChatGPT universally recommended deprescribing medications regardless of ADL status in patients with no overlying CVD history; in patients with CVD history, ChatGPT's answers varied by technical replicate. Total number of medications deprescribed ranged from 2.67 to 3.67 (out of 7) and did not vary with CVD status, but increased linearly with severity of ADL impairment. Among medication types, ChatGPT preferentially deprescribed pain medications. ChatGPT's deprescribing decisions vary along the axes of ADL status, CVD history, and medication type, indicating some concordance of internal logic between general practitioners and the model. These results indicate that specifically trained LLMs may provide useful clinical support in polypharmacy management for primary care physicians.

[Deprescribing statinsand other cardiovascular medications Barriers and facilitators]. / Déprescription des statines et autres médicaments cardiovasculaires. Obstacles et facilitateurs.

Considering the growing problematic of polypharmacy, this article summarizes barriers and facilitators to deprescribing cardiovascular medications, from the point of view of physicians and patients. Patients seem to be more open to discontinue cardiovascular medications when their physician suggests to do so, or if they dislike the medication. Physicians tend to consider deprescribing more if they had positive experiences with deprescribing in the past, or if their patients ask them to. The most common barrier for patients is the fear of health deterioration. Patient desire to continue with their usual medication or past negative experiences with depresecribing are frequently reported as barriers by physicians.

Vu le problème croissant de la polypharmacie, cet article résume les différents obstacles et facilitateurs à la déprescription des médicaments cardiovasculaires, du point de vue des médecins et des patients. Ces derniers sont plus enclins à stopper des médicaments cardiovasculaires lorsque cela leur est proposé par leur médecin traitant ou s'ils n'aiment pas le médicament. Les médecins arrêtent plus facilement les traitements s'ils ont déjà eu des expériences positives de déprescription et si leurs patients le leur demandent. L'obstacle le plus fréquent pour les patients est la peur d'une détérioration de leur état de santé. Pour les médecins, la volonté du patient de poursuivre le traitement, ou une expérience passée négative avec la déprescription, sont des obstacles fréquents.

Polypharmacy in older patients presenting to a tertiary regional health service: identifying correlations between demographics, presentations and length of stay.

This study aimed to describe hospital admissions in patients experiencing polypharmacy and evaluate the effects of demographic factors on length of stay (LOS) and polypharmacy. We found that increasing age is associated with increasing polypharmacy rates but decreasing LOS. Females were more likely to experience higher rates of polypharmacy, but males were more likely to have longer LOS. First Nations peoples had higher rates of polypharmacy and longer LOS. Future projects investigating deprescribing methods are critical.