Psychopharmacological Treatment in Older People: Avoiding Drug Interactions and Polypharmacy

Adverse drug reactions in geriatric psychiatry-retrospective cohort study of a 6-year period

OBJECTIVE

To investigate the frequency and characteristics of adverse drug reactions (ADRs) that occurred on the gerontopsychiatric ward of Hannover Medical School over a 6-year period.

DESIGN

Retrospective monocentric cohort study.

RESULTS

Six hundred thirty-four patient cases (mean age 76.6 ± 7.1 years; 67.2% female) were analysed. In total, 92 ADRs in 56 patient cases were registered in the study population. The overall ADR prevalence, the ADR prevalence upon hospital admission, and the ADR prevalence during hospitalisation were 8.8%, 6.3%, and 4.9%, respectively. The most frequent ADRs were extrapyramidal symptoms, alterations in blood pressure or heart rate, and electrolyte disturbances. Of note, two cases of asystole and one case of obstructive airway symptoms related to general anaesthesia in the context of electroconvulsive therapy (ECT) were detected. The presence of coronary heart disease was associated with an increased risk of ADR occurrence (odds ratio (OR) 2.92, 95% confidence interval (CI) 1.37-6.22), while the presence of dementia was associated with a decreased risk of ADR development (OR 0.45, 95% CI 0.23-0.89).

CONCLUSIONS

Type and prevalence of ADRs in the present study were largely in accordance with previous reports. By contrast, we did not observe a relationship between advanced age or female sex and ADR occurrence. We detected a risk signal for cardiopulmonary ADRs related to general anaesthesia in the context of ECT that warrants further investigation. Elderly psychiatric patients should be carefully screened for cardiopulmonary comorbidities before initiation of ECT.

Assessment of Drug-Related Problems and Health-Related Quality of Life Domains in Elderly Patients with Type 2 Diabetes Mellitus

Aims of the Study

This study aimed to investigate the prevalence and predictors of Drug-related problems (DRPs), as well as to evaluate the impact of DRPs on the health-related quality of life in geriatric patients with type 2 diabetes mellitus.

Methodology

A cross-sectional study was conducted over a three-month period. Patients aged 60 years and older visited diabetes clinics from October 1, 2022, to December 31, 2022, were included in the study. Data were collected through structured questionnaires, whereas lab results, medication records, comorbidities, and the consequences of DRPs were collected from electronic medical records. DRPs were identified and classified using the PCNE V501 classification system. Health-related quality of life (HRQoL) was evaluated using the validated EuroQol criteria.

Results

A total of 491 patients participated in the study, and the mean age of the patients was 67.51 years (SD = 5.84 years). Female patients represented 52.34% of total subjects. A total of 461 (around 94%) experienced at least one drug-related problem (DRP), ranging from one to nine DRPs per patient, with a total number of DRPs equal to 1625 identified. The most common DRP was the drug choice problem, affecting 52.98% of patients. Factors such as high drug frequency, living conditions, the number of diabetes medications, comorbidities, and smoking were significantly associated with higher numbers of DRPs. Higher numbers of DRPs were found to significantly worsen health-related quality of life (HRQoL) among patients.

Conclusion

Geriatric individuals with type 2 diabetes mellitus encounter a significant prevalence of DRPs, with drug choice problems being the most common followed by dosing problems. Risk factors contributing to these DRPs include high drug frequency, living conditions, high number of diabetes medications, multimorbidity, and smoking. Also, the study concluded that the increased number of DRPs was associated with negative impact on HRQoL domains in geriatric patients with type 2 diabetes.

Geriatrician-led multidisciplinary team management improving polypharmacy among older inpatients in China

Background/Aim: Polypharmacy is prevalent among older inpatients and associated with adverse outcomes. To determine whether a geriatrician-led multidisciplinary team (MDT) management mode could reduce medications use among older inpatients. Methods: A retrospective cohort study was conducted in a geriatric department of a tertiary hospital in China with 369 older inpatients, including 190 patients received MDT management (MDT cohort), and 179 patients received usual treatment (non-MDT cohort). The primary outcome was to compare the changes of the amount of medications before and after hospitalization in two cohorts. Results: We reported that MDT management significantly reduced the number of medications used in older inpatients at discharge (at home: n = 7 [IQR: 4, 11] vs at discharge: n = 6 [IQR: 4, 8], p < 0.05). Hospitalization with the MDT management had a significant effect on the change in the amount of medications (F = 7.813, partial-η² = 0.011, p = 0.005). The discontinuance of medications was associated with polypharmacy at home (OR: 96.52 [95% CI: 12.53-743.48], p < 0.001), and the addition of medications was associated with a diagnosis of chronic obstructive pulmonary disease (COPD) (OR: 2.36 [95% CI: 1.02-5.49], p = 0.046). Conclusion: The results indicated that the geriatrician-led MDT mode during hospitalization could reduce the number of medications used by older patients. The patients with polypharmacy were more likely to "deprescription" after MDT management, while the patients with COPD were more likely to be under-prescription at home, polypharmacy which could be made up for after MDT management.

Targeting neurotransmitter-mediated inflammatory mechanisms of psychiatric drugs to mitigate the double burden of multimorbidity and polypharmacy

The increased incidence of multimorbidities and polypharmacy is a major concern, particularly in the growing aging population. While polypharmacy can be beneficial, in many cases it can be more harmful than no treatment, especially in individuals suffering from psychiatric disorders, who have elevated risks of multimorbidity and polypharmacy. Age-related chronic inflammation and immunopathologies might contribute to these increased risks in this population, but the optimal clinical management of drug-drug interactions and the neuro-immune mechanisms that are involved warrants further investigation. Given that neurotransmitter systems, which psychiatric medications predominantly act on, can influence the development of inflammation and the regulation of immune function, it is important to better understand these interactions to develop more successful strategies to manage these comorbidities and complicated polypharmacy. I propose that expanding upon research in translationally relevant human in vitro models, in tandem with other preclinical models, is critical to defining the neurotransmitter-mediated mechanisms by which psychiatric drugs alter immune function. This will define more precisely the interactions of psychiatric drugs and other immunomodulatory drugs, used in combination, enabling identification of novel targets to be translated into more efficacious diagnostic, preventive, and therapeutic interventions. This interdisciplinary approach will aid in better precision polypharmacy for combating adverse events associated with multimorbidity and polypharmacy in the future.

Patients with higher vitamin D levels show stronger improvement of self-reported depressive symptoms in psychogeriatric day-care setting

Depression is a common psychiatric disorder among geriatric patients that decreases the quality of life and increases morbidity and mortality. Vitamin D as a neuro-steroid hormone might play a role in the onset and treatment of depression. In the present study, the association between depressive symptoms and vitamin D concentration in serum was evaluated. 140 patients of a psychogeriatric day-care unit were included. The geriatric depression scale (GDS) and the Hamilton depression rating scale (HDRS) were assessed at the beginning and end of treatment, GDS scores additionally 6 weeks after discharge from the day-care unit. Vitamin D levels were measured at the beginning of the treatment, routinely. Patients with levels below 30 µg/L were treated with 1000 IU vitamin D per day. There was no association between the severity of depressive symptoms and the concentration of vitamin D at the beginning of the treatment. Patients with higher vitamin D levels showed a stronger decline of depressive symptoms measured by the GDS during their stay in the day-care unit. We provide evidence that vitamin D serum levels might influence antidepressant therapy response in a geriatric population. Prospective studies are necessary to determine which patients may profit from add-on vitamin D therapy.

Drug-drug Interactions between COVID-19 Treatments and Antidepressants, Mood Stabilizers/Anticonvulsants, and Benzodiazepines: Integrated Evidence from 3 Databases

INTRODUCTION

The SARS-CoV-2 pandemic with psychiatric comorbidities leads to a scenario in which the use of psychotropic drugs may be required. This requires the support of evidence-based medicine to take into account possible interactions between antidepressants, mood stabilizers, benzodiazepines, and coronavirus infection treatments.

METHODS

Three databases were consulted: (a) Lexicomp Drug Interactions, (b) Micromedex Solutions Drugs Interactions, (c)Liverpool Drug Interaction Group for COVID-19 therapies. The CredibleMeds QTDrugs List was also queried. Hydroxychloroquine, chloroquine, azithromycin, lopinavir-ritonavir, remdesivir, favipiravir, tocilizumab, baricitinib, anakinra, and dexamethasone - drugs used for SARS-CoV-2 - were analyzed, and consensus recommendations are made.

RESULTS

The potential interactions of agomelatine, desvenlafaxine, duloxetine, milnacipran, and vortioxetine with COVID-19 treatments shall be considered less risky. Antidepressant interactions with hydroxychloroquine, chloroquine, and azithromycin enhance the risk of QT prolongation, and ECG monitoring is advised for most antidepressants. Antidepressants with lopinavir/ritonavir involve multiple CYP enzyme interactions (except with milnacipran). Gabapentin, oxcarbazepine, pregabalin, topiramate, and zonisamide are safe treatment options that have no significant interactions with COVID-19 treatments. Lithium is contraindicated with hydroxychloroquine, chloroquine, and azithromycin. Precaution should be taken in using valproic acid with lopinavir-ritonavir. The use of benzodiazepines does not present a risk of drug interaction with COVID-19 treatments, except lopinavir/ritonavir.

CONCLUSIONS

Clinicians prescribing antidepressants, mood stabilizers/anticonvulsants, and benzodiazepines, should be aware of the probable risk of drug-drug interaction with COVID-19 medications and may benefit from heeding these recommendations for use to ensure patient safety.

Predicting the risk of drug-drug interactions in psychiatric hospitals: a retrospective longitudinal pharmacovigilance study

OBJECTIVES

The aim was to use routine data available at a patient's admission to the hospital to predict polypharmacy and drug-drug interactions (DDI) and to evaluate the prediction performance with regard to its usefulness to support the efficient management of benefits and risks of drug prescriptions.

DESIGN

Retrospective, longitudinal study.

SETTING

We used data from a large multicentred pharmacovigilance project carried out in eight psychiatric hospitals in Hesse, Germany.

PARTICIPANTS

Inpatient episodes consecutively discharged between 1 October 2017 and 30 September 2018 (year 1) or 1 January 2019 and 31 December 2019 (year 2).

OUTCOME MEASURES

The proportion of rightly classified hospital episodes.

METHODS

We used gradient boosting to predict respective outcomes. We tested the performance of our final models in unseen patients from another calendar year and separated the study sites used for training from the study sites used for performance testing.

RESULTS

A total of 53 909 episodes were included in the study. The models' performance, as measured by the area under the receiver operating characteristic, was 'excellent' (0.83) and 'acceptable' (0.72) compared with common benchmarks for the prediction of polypharmacy and DDI, respectively. Both models were substantially better than a naive prediction based solely on basic diagnostic grouping.

CONCLUSION

This study has shown that polypharmacy and DDI can be predicted from routine data at patient admission. These predictions could support an efficient management of benefits and risks of hospital prescriptions, for instance by including pharmaceutical supervision early after admission for patients at risk before pharmacological treatment is established.

[Less can be more-Examples on medication in older and geriatric patients from current studies]

Polypharmacy, i.e. the prescription of five or more different drugs for medicinal treatment, is a typical problem in older and geriatric patients. Polypharmacy predisposes to different negative health sequelae, such as undesired side effects, drug interactions, potentially inappropriate medication, reduced functional abilities, increased hospitalization and increased mortality. Various consensus groups and specialist societies have developed recommendations on how to handle polypharmacy in geriatric patients. Although concepts to reduce the number of drugs are considered necessary, in many areas there is a lack of evidence on how to limit polypharmacy in geriatric patients and to reduce and discontinue medication. This article presents examples of recent studies dealing with potentially inappropriate medication, vitamin D substitution and antipsychotic drugs, which show how to critically appraise a prescribed medication, to critically check the indications for drugs and to discontinue drug use.

Prevalence, median time, and associated factors with the likelihood of initial antidepressant change: a cross-sectional study in Qatar

BACKGROUND

Major Depressive Disorder (MDD) requires therapeutic interventions during the initial month after being diagnosed for better disease outcomes. International guidelines recommend a duration of 4-12 weeks for an initial antidepressant (IAD) trial at an optimized dose to get a response. If depressive symptoms persist after this duration, guidelines recommend switching, augmenting, or combining strategies as the next step. Premature discontinuation of IAD due to ineffectiveness can cause unfavorable consequences. We aimed to determine the prevalence and the patterns of strategies applied after an IAD was changed because of a suboptimal response as a primary outcome. Secondary outcomes included the median survival time on IAD before any change; and the predictors that were associated with IAD change.

METHODS

This was a retrospective study conducted in Mental Health Services in Qatar. A dataset between January 1, 2018, and December 31, 2019, was extracted from the electronic health records. Inclusion and exclusion criteria were defined and applied. The sample size was calculated to be at least 379 patients. Descriptive statistics were reported as frequencies and percentages, in addition, to mean and standard deviation. The median time of IAD to any change strategy was calculated using survival analysis. Associated predictors were examined using several cox regression models.

RESULTS

A total of 487 patients met the inclusion criteria of the study, 431 (88%) of them had an occurrence of IAD change to any strategy before end of the study. Almost half of the sample (212 (49%); 95% CI [44-53%]) had their IAD changed less than or equal to 30 days. The median time to IAD change was 43 days with 95% CI [33.2-52.7]. The factors statistically associated with higher hazard of IAD change were: younger age, un-optimization of the IAD dose before any change, and comorbid anxiety.

CONCLUSIONS

Because almost half of the patients in this study changed their IAD as early as within the first month, efforts to avoid treatment failure are needed to ensure patient-treatment targets are met. Our findings offered some clues to help clinicians identify the high-risk predictors of short survival and subsequent failure of IAD.

Impact of age and CYP2D6 genotype on exposure of zuclopenthixol in patients using long-acting injectable versus oral formulation-an observational study including 2044 patients

PURPOSE

Zuclopenthixol is an antipsychotic available as oral and long-acting injectable (LAI) formulations. The aim of this study was to investigate the effect of age on zuclopenthixol exposure during oral and LAI administrations without and with adjustment for CYP2D6 genotype.

METHODS

Data on serum concentrations of zuclopenthixol and CYP2D6 genotype (available for 28.2% of the population) from patients using oral or LAI zuclopenthixol were included retrospectively from a therapeutic drug monitoring service during the period 2005-2019. As a measure of exposure, dose-adjusted serum concentration (C/D ratio) was used. Based on age, patients were grouped to older (≥ 65 years) or younger (18-64 years). Linear mixed model analyses without and with adjustment for CYP2D6 genotype were used.

RESULTS

Serum concentrations of zuclopenthixol from 1145 (14.1% older) and 899 patients (24.6% older) in the LAI and oral groups were included, respectively. Compared with younger patients, older patients had a higher C/D ratio of zuclopenthixol for LAI (+ 25-33%, p < 0.001) and oral formulation (+ 25-29%, p ≤ 0.003) without and with adjustment for CYP2D6 genotype. The doses were lower in older versus younger patients (oral: - 30%; LAI: - 20%; p < 0.001). Compared with the younger LAI users without reduced CYP2D6 function, a higher C/D ratio was observed in the older LAI users with reduced CYP2D6 function (+ 104%, p < 0.001).

CONCLUSION

The present study showed that zuclopenthixol exposure increases in older patients and that the older LAI users with reduced CYP2D6 function are exposed to high serum concentrations. Also, the present study showed that similar dose reductions are required for oral and LAI users.