https://orcid.org/0000-0003-2750-0606
Figures
Abstract
Introduction
The aim of this study was to describe the number and type of drugs used to treat depressive disorders in inpatient psychiatry and to analyse the determinants of potential drug-drug interactions (pDDI) and potentially inappropriate medication (PIM).
Methods
Our study was part of a larger pharmacovigilance project funded by the German Innovation Funds. It included all inpatients with a main diagnosis in the group of depressive episodes (F32, ICD-10) or recurrent depressive disorders (F33) discharged from eight psychiatric hospitals in Germany between 1 October 2017 and 30 September 2018 or between 1 January and 31 December 2019.
Results
The study included 14,418 inpatient cases. The mean number of drugs per day was 3.7 (psychotropic drugs = 1.7; others = 2.0). Thirty-one percent of cases received at least five drugs simultaneously (polypharmacy). Almost one half of all cases received a combination of multiple antidepressant drugs (24.8%, 95% CI 24.1%–25.5%) or a treatment with antidepressant drugs augmented by antipsychotic drugs (21.9%, 95% CI 21.3%–22.6%). The most frequently used antidepressants were selective serotonin reuptake inhibitors, followed by serotonin and norepinephrine reuptake inhibitors and tetracyclic antidepressants. In multivariate analyses, cases with recurrent depressive disorders and cases with severe depression were more likely to receive a combination of multiple antidepressant drugs (Odds ratio recurrent depressive disorder: 1.56, 95% CI 1.41–1.70, severe depression 1.33, 95% CI 1.18–1.48). The risk of any pDDI and PIM in elderly patients increased substantially with each additional drug (Odds Ratio: pDDI 1.32, 95% CI: 1.27–1.38, PIM 1.18, 95% CI: 1.14–1.22) and severity of disease (Odds Ratio per point on CGI-Scale: pDDI 1.29, 95% CI: 1.11–1.46, PIM 1.27, 95% CI: 1.11–1.44), respectively.
Conclusion
This study identified potential sources and determinants of safety risks in pharmacotherapy of depressive disorders and provided additional data which were previously unavailable. Most inpatients with depressive disorders receive multiple psychotropic and non-psychotropic drugs and pDDI and PIM are relatively frequent. Patients with a high number of different drugs must be intensively monitored in the management of their individual drug-related risk-benefit profiles.
Citation: Wolff J, Reißner P, Hefner G, Normann C, Kaier K, Binder H, et al. (2021) Pharmacotherapy, drug-drug interactions and potentially inappropriate medication in depressive disorders. PLoS ONE 16(7): e0255192. https://doi.org/10.1371/journal.pone.0255192
Editor: Angela Lupattelli, University of Oslo, NORWAY
Received: April 6, 2021; Accepted: July 11, 2021; Published: July 22, 2021
Copyright: © 2021 Wolff et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: Our study required potentially identifying and sensitive human research participant data, such as psychiatric diagnoses, medication data and many others. We cannot share these data because legal restrictions in Germany and the European Union (“General Data Protection Regulation” and “Processing of special categories of personal data”) prohibit sharing these sensitive data. Further information can be obtained from the ethics committee of the State Medical Association of Hesse, info@laekh.de, Hanauer Landstraße 152, 60314 Frankfurt, Germany, under the file number FF116 / 2017.”
Funding: Financial support for this study was provided by a grant from the Innovations Funds of the German Federal Joint Committee (grant number: 01VSF16009, www.g-ba.de/english/). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: Independent of the present study, KD received fees from Janssen Pharmaceuticals, Inc. for her consultancy work on the Neuroscience Steering Committee. CN received lecture and consultancy fees from Janssen-Cilag and Neuraxpharm as well as fees for conducting clinical studies from Janssen-Cilag. ST has received lecture fees from Janssen-Cilag, Otsuka / Lundbeck and Servier and is a member of the Advisory Board of Otsuka and Janssen-Cilag. CH has received lecture fees from Otsuka. The commercial funding sources were unrelated to the present study and did not alter our adherence to PLOS ONE policies on sharing data and materials.
Introduction
Depressive disorders were the third leading cause of global non-fatal burden of disease in 2017 [1]. Pharmacotherapy is an important component in the treatment of depressive disorders [2]. Common guidelines recommend monotherapy with second generations antidepressants, i.e. selective serotonin reuptake inhibitors (SSRIs), serotonin and norepinephrine reuptake inhibitors (SNRIs) and other drugs that selectively target neurotransmitters [3–5]. The majority of patients fail to achieve remission after first monotherapy with antidepressants [6]. Several second-step treatments are recommended in guidelines, such as switching to a different monotherapy, augmentation with antipsychotics or combining two antidepressants [4,5,7].
The combination of multiple antidepressants and the combination with other drugs bear the risk of potential drug-drug-Interactions (pDDI). pDDI are a frequent cause of adverse drug reactions (ADR) [8]. The number of simultaneously taken drugs is one of the strongest risk factors for pDDI and potentially inappropriate medication in the elderly (PIM) [9]. pDDI are a relevant aspect in the treatment of patients with depressive disorders, for instance, via metabolism by the cytochrome P450 enzyme group (pharmacokinetic) and the combination of multiple anticholinergics or QT-interval prolonging drugs (pharmacodynamic).
These pDDI are of specific relevance for the inpatient treatment of depressive disorders. Cytochrome P450 (CYP) enzymes are essential for the phase 1 metabolism of drugs and most pharmacokinetic pDDI in the treatment of depressive disorders are the results of inhibition or induction of CYP enzymes [10]. Many drugs for the treatment of depressive disorders have strong anticholinergic effects in connection with their biochemical mechanisms, such as tricyclic antidepressants [11,12]. Drug-induced prolongation of the QT interval is associated with an increased risk of a rare but potentially fatal form of cardiac arrhythmia, so-called "torsade de pointes" (TdP), [13]. A prolongation of the QT interval has been shown for several antidepressants, in particular tricyclic antidepressants and the SSRIs (es-) citalopram [14,15]. An increased risk of ADR was found with the simultaneous use of more than one anticholinergic [16] and QT interval prolonging drug [17].
Pharmacokinetics and -dynamics change in elderly patients due to the progressive decline in the functional reserve of multiple organs and systems with an influence on drug disposition when aging [18]. Medication is considered as PIM if risks outweigh benefits of better alternatives [19–21]. Drug safety requires that these aspects are taken into account in the treatment of depressive disorders in elderly patients.
The pharmacological treatment of depressive disorders is complex and the associated pDDI and PIM can impair patient outcomes and increase costs [22]. The aim of this study was to describe the number and type of drugs used to treat depressive disorders in inpatient psychiatry and to analyse the patient- and treatment-specific determinants of pDDI and PIM.
Methods
Study sample
Our study included all inpatient cases with a main diagnosis in the group of depressive episodes (F32*, International statistical classification of diseases and related health problems.–10th revision, ICD-10) or recurrent depressive disorders (F33*) who were consecutively discharged from eight psychiatric hospitals between 1 October 2017 and 30 September 2018 or between 1 January and 31 December 2019. These hospitals belong to a common health care provider that provides about one half of all inpatient psychiatric services in Hesse, Germany. The present study was part of a larger pharmacovigilance project funded by the German Innovation Funds (OSA-PSY—Optimization of inpatient drug therapy for mental illnesses, grant number 01VSF16009). The German Innovation Funds sponsors innovative projects to improve the quality of medical care provided under the statutory health insurance system. The aim of the larger project was to use daily patient-specific medication data and their dissemination among clinical staff to improve drug safety in inpatient psychiatry. The study was approved by the ethics committee of the State Medical Association of Hesse under the file number FF116/2017. In accordance with the ethics approval, our retrospective study did not require individual patient consent. The present study analysed a sub-sample of the total research project, namely patients with depressive disorders, i.e. a main diagnosis of F32* or F33*, ICD-10. Previous publications from this research project can be found in the reference list [10,12,14,23–26].
Medication data
We used daily medication data for each included inpatient obtained from the electronic medical records at the study sites. Thereby, we were able to investigate the medications for each day separately and to include all treatment modifications of during a hospital stay. The pDDI analysed by our study were defined as 1) pharmacokinetic pDDI via CYP enzyme inducing and inhibiting drugs and the respective victim drugs (CYP450-Interaction), 2) pharmacodynamic pDDI via the administration of more than one anticholinergic drug (Antichol.-Combi.) and 3) pharmacodynamic pDDI via administration of more than one drug that potentially prolongs the QT-interval (QT-Combi.). In addition, the administration of PIM to patients over the age of 64 years was investigated.
CYP-mediated drugs were identified in accordance to the Consensus Guidelines for Therapeutic Drug Monitoring in Neuropsychopharmacology [27], restricted to inhibitions and inductions that lead to decrease or increase of plasma concentrations of victim drugs by more than 50%, respectively. In addition, melperone [28], levomepromazine [29] and perazine [30–32] were considered as CYP inhibitors. Additional non-psychotropic victim drugs were added based on CYP substrate properties defined by Hiemke and Eckermann [33]. In total, these sources resulted in covering the following isoforms for analyses of CYP-mediated pDDI: CYP1A2, CYP2B6, CYP2C19, CYP2C9, CYP2D6, CYP2E1, CYP3A4.
QT interval prolonging drugs were identified based on the lists of Hiemke and Eckermann [33], Wenzel-Seifert and Wittmann [15] and the drugs listed with known or possible risk for TdP by Arizona Center for Education and Research on Therapeutics (AZCERT) [34,35]. Anticholinergic activity of drugs was identified according to Hiemke and Eckermann, Chew et al. and Lertxundi et al. [33,36,37]. PIM were identified according the German list of medications that are potentially inappropriate in elderly patients, the so-called Priscus-list [19].
The groups N05 and N06 of the Anatomical-Therapeutic-Chemical (ATC) classification, respectively, were defined as psychotropic drugs [38]. Drugs classified in group N06A were defined as antidepressants. Drugs classified in group N05A were defined as antipsychotics. Dietetics and food supplements, homeopathic preparations and anthroposophic medicine and only locally applied active ingredients were excluded. We defined polypharmacy as the simultaneous use of at least five different pharmaceuticals [39], averaging over the entire hospital stay.
We differentiated antidepressant drug regimens between a) monotherapy, i.e. receiving one antidepressant drug, b) switch/trial, i.e. receiving more than one antidepressant or antipsychotic drug but not more than three days in combination, c) antidepressant combination, i.e. receiving more than one antidepressant drug in combination more than three days and d) augmentation, i.e. receiving a combination of antidepressant and antipsychotic drugs more than three days [40].
Analyses and measurements
We obtained patient and treatment data from the patient administration databases of each treatment site. These data were patient gender, age at admission, length of stay, treatment type (i.e. day-clinic versus regular ward), the Clinical Global Impressions at admission [41] and main diagnoses and all psychiatric and somatic comorbidities according to the ICD-10. These data were used to describe the study sample and to adjust for potential confounders in multivariate models.
Arithmetic means and standard deviations were calculated as measures of central tendency and dispersion, respectively. Medians and interquartile ranges were calculated for variables with skewed distributions or a relevant number of outliers. Confidence intervals for proportions were calculated according to Agresti and Coull [42]. We used multivariate logistic regression models to explain the relationship between patient-specific characteristics and type of antidepressant treatment and the outcome of at least one pDDI and at least on PIM during the hospital stay, respectively.
Results
The study included 14,418 inpatient cases from eight psychiatric hospitals (Table 1). About 61% of total cases had a main diagnosis in the group recurrent depressive disorders (F33*) and 39% in the group of depressive episodes (F32*). Thirty-one percent of cases received at least 5 drugs simultaneously (polypharmacy). A total of 96 different psychotropic and 619 different non-psychotropic drugs were administered during the study period. The mean daily number of drugs was 3.7 (psychotropic drugs = 1.7; others = 2.0) per case.
Antidepressants were by far the most frequently used drug group, with 85% of cases with recurrent depressive disorders and 73% of depressive episodes receiving at least one drug from this group. The second most frequently used group were antipsychotic drugs, which were used for 61% of cases with recurrent depressive disorders and 52% of depressive episodes.
Fig 1 shows how frequent and in which combinations antidepressant and antipsychotic drugs were used. Almost one half of all cases received a combination of multiple antidepressant drugs (24.8%, 95% CI 24.1%–25.5%) or a treatment with antidepressant drugs augmented by antipsychotic drugs (21.9%, 95% CI 21.3%–22.6%). The most frequently used antidepressants were selective serotonin reuptake inhibitors (SSRI), followed by serotonin and norepinephrine reuptake inhibitors (SNRI) and tetracyclic antidepressants (Fig 1B). SSRI were the drug class which was most frequently used for monotherapy (12% of inpatient days, Fig 1A). The most frequent augmentation therapy was SSRI augmented by atypical antipsychotics, followed by SNRI augmented by atypical antipsychotics. The most frequent combinations of antidepressants were SSRI in combination with tetracyclic antidepressants and SNRI in combination with the tetracyclic antidepressant mirtazapine. Fig 1 shows only drug combinations that accounted for at least 2% of total patient days. Lithium did not reach that threshold. In total, 2.8% of patients received Lithium alone or in combination with other drugs for at least one day.
(A+B) Augmentation: Combination of antidepressant and antipsychotic drugs. Combination AD: Combination of more than one antidepressant drug. Combination AP: Combination of more than one antipsychotic drug. Mono: Use of a single antidepressant or antipsychotic drug. None: Neither an antidepressant drug nor an antipsychotic drug. (A) Intersection: Number of days with the respective drug or drug combination and the proportion in total patient days. For instance, at 5% of all inpatient days a drug from the class of SSRIs was augmented by a drug from the class of atypical antipsychotics (atyp. AP). Only intersections with at last 2% of total days are shown. SSRI: Selective serotonin reuptake inhibitors, atyp. AP: Atypical antipsychotics, SNRI: Serotonin and norepinephrine reuptake inhibitors, mid-low AP: middle- and low-potency antipsychotics. None: Patient did not receive an antidepressant or an antipsychotic drug at that day. NDRI: Norepinephrine–dopamine reuptake inhibitor (B) Total number of days with the respective drug and the proportion in total patient days. Double counting of days is possible. Combinations are counted within and between classes of antidepressants and antipsychotics. (C) Total number of cases with the respective treatment regime and proportion in total cases. None: Patient did not receive an antidepressant or an antipsychotic drug. Mono AD: Patient received one antidepressant drug. Switch/Trial: Patient received more than one antidepressant or antipsychotic drug but not more than three days in combination. Combi AD: Patient received more than one antidepressant drug in combination more than three days. Augmentation AD/AP: Patient received a combination of antidepressant and antipsychotic drugs more than three days. Only AP: Patient received one or more antipsychotic drugs but no antidepressant drug.
Table 2 shows the determinants of receiving different antidepressant and antipsychotic drug regimes. Cases with moderate depression and cases with depressive episodes (F32) were more likely to receive neither antidepressant nor antipsychotic drug treatment and more likely to receive a monotherapy with antidepressants. Cases with recurrent depressive disorders and cases with severe depression were more likely to receive a combination of multiple antidepressant drugs. Cases with a high severity of disease measured by the CGI-scale at both admission and discharge were more likely to have switched between different antidepressant or antipsychotic drugs.
The number of simultaneously used drugs influenced the risk of pDDI and PIM, as illustrated in Fig 2. The steepest increase and the highest overall risk were found in pharmacodynamic pDDI related to the combination of multiple QT-prolonging drugs.
CYP450-Interaction: Pharmacokinetic cytochrome P450 (CYP)-mediated drug-drug interaction. QT-Combi.: A combination of at least two drugs on the same day with known or possible risk of TdP. Antichol. Combi.: A combination of at least two drugs on the same day with at least moderate anticholinergic activity. PIM: Potentially inappropriate medication in the elderly. >64: Number of cases of more than 64 years of age at admission.
Fig 3 shows the TOP-20 drugs and drug combinations of each field of pDDI and PIM, respectively. The three most frequently in CYP450-Interactions involved single drugs were Duloxetine, Melperone and Bupropion, accounting for 30%, 21% and 17% of all cases affected by CYP450-Interactions, respectively. The three most frequently Antichol.-Combi. involved single drugs were Promethazine (49%), Olanzapine (40%) and Amitriptyline (28%). The three most frequently in QT-Combi. involved single drugs were Mirtazapine (42%), Quetiapine (34%) and Pipamperone (28%).
Double counting is possible, i.e. a case can have received several drugs or combinations of drugs. CYP450-Interaction: Pharmacokinetic cytochrome P450 (CYP)-mediated drug-drug interaction. QT-Combi.: A combination of at least two drugs on the same day with known/high or possible/moderate risk of TdP. Antichol. Combi.: A combination of at least two drugs on the same day with at least moderate anticholinergic activity. PIM: Potentially inappropriate medication in the elderly. Poss: Possible. Mod: Moderate.
Fig 4 shows the results of a logistic regression on the occurrence of at least one pDDI and PIM during a patient stay at the hospital. The odds ratios shown in the circles reflect the multiplicative effect, e.g. the risk for receiving at least one PIM increased by 18% for each additional drug taken, controlled for the other variables in the model. Another important risk factor was severity of disease, represented by the admission score on the Clinical Global Impressions (CGI)-Scale. The risk of any pDDI increased with each additional drug by 32% (Odds Ratio: 1.32, 95% CI: 1.27–1.38) and with each additional point at the CGI-scale by 29% (Odds Ratio: 1.29, 95% CI: 1.11–1.46) (not shown in Fig 4).
Circles show odds ratios of a multivariate logistic regression. These ratios reflect the multiplicative effect per influencing variable, i.e., for example, the risk of receiving at least one PIM increased by 18% for each additional drug taken, controlled for the other variables in the model. The values in brackets show the 95% confidence interval. Confidence intervals that do not include 1 show a statistically significant effect. CYP450-Interaction: Pharmacokinetic cytochrome P450 (CYP)-mediated drug-drug interaction. QT-Combi.: A combination of at least two drugs on the same day with known or possible risk of TdP. Antichol. Combi.: A combination of at least two drugs on the same day with at least moderate anticholinergic activity. PIM: Potentially inappropriate medication in the elderly. Mod.: Moderate.
Discussion
Main findings
This study described the number and type of drugs used to treat depressive disorders in inpatient psychiatry and analysed the determinants of pDDI and PIM. Almost one half of all cases received a combination of multiple antidepressant drugs or a treatment with antidepressant drugs augmented by antipsychotic drugs. Cases with recurrent depressive disorders and cases with severe depression were more likely to receive a combination of multiple antidepressant drugs. pDDI and PIM were frequent in patients with depressive disorders, and the main risk factors were the number of simultaneously taken drugs and severity of disease. Relatively few drugs accounted for a large proportion of total pDDI and PIM.
Clinical implications of different antidepressant drug regimes
Psychiatric hospital care must focus on pharmacovigilance due to patients’ frequent exposure to long-term poly-pharmacotherapy, poor compliance to pharmacological treatment and co-morbidity with organic illnesses requiring the prescription of multiple drugs [43]. Pharmacoepidemiologic data about prescription patterns can help to clarify potential sources of safety risks and focus on relevant aspects of drug treatment [44]. This study has added important data on this issue that were previously unavailable.
Antidepressant drugs were the most frequently used pharmacotherapy in our study. The effectiveness of antidepressants in the treatment of depressive disorders has been firmly established by previous research. A recent review investigated more than 500 trials and concluded that all of 21 studied antidepressants were more efficacious than placebo in adults with major depressive disorders [45]. Accordingly, antidepressant monotherapy is recommended as first line therapy for patients with a diagnosis of depressive disorders in current guidelines [5].
The present study found that 13% of cases with depressive disorders neither received antidepressant nor antipsychotic drugs. Cases with moderate depression and cases with depressive episodes were more likely to receive neither antidepressants nor antipsychotic drugs than patients with severe depression and recurrent depressive disorders, respectively. Guidelines recommend antidepressants in exceptional cases for patients with mild depression, generally for moderate depression and especially for patients with severe depression [46]. However, while the benefit of antidepressants over placebo was found to be substantial in severe depression, effects may be minimal or nonexistent, on average, in patients with mild or moderate symptoms [47,48]. In addition to less severe symptoms, there are other potential reasons for a hospital treatment without antidepressants, such as patients’ refusal to take the medication [49]. When antidepressant treatment is not indicated or possible or failed, several alternative strategies for treatment exist [50], such as cognitive-behavioral psychotherapy [51], or in severe cases electroconvulsive therapy [52] and vagus nerve stimulation [53].
Almost one half of all cases received a combination of multiple antidepressant drugs or a treatment with antidepressant drugs augmented by antipsychotic drugs. Several studies suggested that combining multiple antidepressants after failed monotherapy can be effective [54]. Our study found that tetracyclic antidepressants, in our study only mirtazapine, were the drug class used most frequently for combination therapy with SSRI, which is supported by current guidelines [5]. Moreover, we found relatively frequent combinations of mirtazapine with SNRI, which were shown to be effective by several studies but are currently not included in clinical guidelines [55–59]. The combination of multiple antidepressants could be advantageous in comparison to switching antidepressants as there is no need for titration and initial improvements might be maintained [60]. However, a combination strategy requires more attention to potential pDDI and PIM.
About 22% of patients received treatment with antidepressants augmented by antipsychotic drugs. The most frequent augmentation was conducted with atypical antipsychotics. Atypical antipsychotics were found to be effective as augmentation in major depressive disorders but also associated with an increased risk of discontinuation due to adverse events [61]. Therefore, current guidelines for the treatment of unipolar depression recommend augmentation therapy with the atypical antipsychotics only if previous monotherapy with antidepressant drugs failed [5]. However, not all antipsychotics were necessarily administered to address depressive disorders. Instead, they might have been used to address insomnia [62,63], control agitation and aggressive behaviour [64] or to treat comorbid psychotic symptoms. Augmentation therapy was identified to be superior to monotherapy with either antidepressant or antipsychotic drugs and to placebo in the acute treatment of psychotic depression [65,66], which accounted for 7.4% of our total sample (see Table 1). Furthermore, Lithium is recommended for augmentation therapy in unipolar depression by current guidelines [5]. Its relevant effects include recurrence prevention, acute-antidepressant effects and anti-suicidal effects. However, Lithium was used less frequently than other drugs in our study (2.8% of both total patient days and hospital cases).
We identified relatively few cases with a switch from one antidepressant drug to another. This result is in agreement with current studies that found that, following non-efficacy with an initial SSRI, only about one fifth of hospital cases remit and more than a half do not show a substantial benefit after a second-step switch to another monoaminergic antidepressant drug [67]. Furthermore, three reviews illustrated that the effectiveness of switching between drug classes does not significantly differ from the switch within drug classes [68–70].
Clinical implications with regard to pDDI and PIM
Combination and augmentation strategies increase the risk for pDDI and PIM. pDDI and PIM do not necessarily lead to ADR and negative patient outcomes. However, the association between undesired pDDI and PIM and an increased risk of negative patient outcomes has been firmly established by previous studies [8,16,17,71–75]. Indeed, the association between pDDI and actual negative patient outcomes might often be underestimated in psychiatry and therefore neglected in clinical practice [76].
Negative outcomes can be caused, for instance, by reduced or increased drug serum or plasma concentration, e.g. leading to the loss of desired drug effects or stronger ADR, respectively. In clinical practice, increased awareness of potential sources of pDDI and PIM can help medical staff to achieve desired and avoid undesired therapeutic outcomes [77]. Patients with multiple simultaneously administered drugs and patients requiring drugs with a narrow therapeutic range warrant close therapeutic drug monitoring to hold the patients’ exposure within the desired therapeutic window [78]. The present study has quantified the problem, added an overview of the relevant risk factors and listed the main drugs and combination drug therapies accounting for potential pDDI and PIM in hospital psychiatry.
The present study in comparison to previous research
The comparison of the present results to previous research was limited by scarce data considering pharmacoepidemiology of psychiatric hospital care for depressive disorders. The present study discerned most inpatients with depressive disorders to receive multiple psychotropic and non-psychotropic drugs. Rhee and Rosenheck found that 58% of depressed adults in their sample from office-based psychiatric care received more than one psychotropic drug simultaneously [79]. This number was slightly lower than the number in the present total sample (65%, not shown in Figures). However, in addition to the different settings, i.e. office-based versus inpatient treatment, a further explanation might be that Rhee and Rosenheck only considered the first 8 items per prescription for their analysis, while in the present study all pharmaceuticals were included.
Cascade et al. investigated the prevalence of antidepressant monotherapy versus combinations and found that 85% of patients treated by office-based physicians received antidepressant monotherapy [80]. This is contrast to the results of our study, which found that almost half of all cases received either a combination of multiple antidepressants or an augmentation with antipsychotics. However, the study by Cascade et al was carried out at office-based physicians and the prevalence of monotherapy decreased with increased severity of disease. Furthermore, psychiatrists (32%) were more likely to use a combination of multiple antidepressant drugs than primary care physicians (8%) and this is more similar to the percentage of cases that received an antidepressant combination therapy in the present study (25%). Augmentation therapy with antipsychotics was administered in only 2% of regimens in the study of Cascade et al published in 2007, which was far less than in the present study. However, Lenderts et al investigated the trends in pharmacotherapy of depressive disorders in 2009 after the approval of an atypical antipsychotic as augmentation to antidepressants by the FDA and their results showed a strong increase in augmentation therapy after the approval [81].
Strength and weaknesses of the present study
A strength of this study is the profound and extensive set of daily medication data. Hence, a relatively detailed analysis was possible. Furthermore, a comparatively large number of patients from eight hospitals in Hesse, Germany, was included, providing a relatively representative picture of hospital care for depressive disorders in Germany.
The present study did not delineate patient-specific benefit-risk balances of prescriptions, for instance by including drug serum levels, results of electrocardiograms or individual pharmacogenetic risk factors. Therefore, it was not possible to differentiate between pDDI and actually inadequate prescriptions. Neither did our study document actual ADR related to pDDI, which would have required an entirely different study design and setting. However, the association between pDDI and the risk of ADR is well established by several previous studies [8,16,17,71–75].
Conclusion
Most inpatients with depressive disorders receive multiple psychotropic and non-psychotropic drugs, and pDDI and PIM are relatively frequent. Few drugs accounted for a large fraction of cases. Due to the high prevalence and the potentially negative outcomes, patients taking a high number of different drugs require an intensive management of their individual drug-related risk-benefit profiles.
References
- 1. James SL, Abate D, Abate KH, et al. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. The Lancet 2018;392:1789–858. pmid:30496104
- 2. Cuijpers P, Sijbrandij M, Koole SL, et al. Adding psychotherapy to antidepressant medication in depression and anxiety disorders: a meta-analysis. World Psychiatry 2014;13:56–67. pmid:24497254
- 3. Gartlehner G, Hansen RA, Morgan LC, et al. Comparative Benefits and Harms of Second-Generation Antidepressants for Treating Major Depressive Disorder: An Updated Meta-analysis. Ann Intern Med 2011;155:772. pmid:22147715
- 4.
APA. Clinical Practice Guideline for the Treatment of Depression Across Three Age Cohorts. 2019.
- 5.
AWMF. S3-Leitlinie/Nationale VersorgungsLeitlinie—Unipolare Depression—Langfassung. Version 5. AWMF-Register-Nr.: nvl-005. 2015.https://www.awmf.org/uploads/tx_szleitlinien/nvl-005l_S3_Unipolare_Depression_2017-05.pdf.
- 6. Fava M, Rush AJ. Current Status of Augmentation and Combination Treatments for Major Depressive Disorder: A Literature Review and a Proposal for a Novel Approach to Improve Practice. Psychother Psychosom 2006;75:139–53. pmid:16636629
- 7. Henssler J, Bschor T, Baethge C. Combining Antidepressants in Acute Treatment of Depression: A Meta-Analysis of 38 Studies Including 4511 Patients. Can J Psychiatry 2016;61:29–43. pmid:27582451
- 8. Leone R, Magro L, Moretti U, et al. Identifying Adverse Drug Reactions Associated with Drug-Drug Interactions: Data Mining of a Spontaneous Reporting Database in Italy. Drug Saf 2010;33:667–75. pmid:20635825
- 9. Steinman MA, Miao Y, Boscardin WJ, et al. Prescribing Quality in Older Veterans: A Multifocal Approach. J Gen Intern Med 2014;29:1379–86. pmid:25002159
- 10. Hefner G, Wolff J, Hahn M, et al. Prevalence and sort of pharmacokinetic drug–drug interactions in hospitalized psychiatric patients. J Neural Transm 2020;127:1185–98. pmid:32519194
- 11.
Möller H-J, Benkert O, Gastpar M, et al. Antidepressiva. In: Möller H-J, Benkert O, Gastpar M, et al., eds. Behandlungsleitlinie Psychopharmakotherapie. Heidelberg: Steinkopff 2003. 1–32.
- 12. Toto S, Hefner G, Hahn M, et al. Current use of anticholinergic medications in a large naturalistic sample of psychiatric patients. J Neural Transm 2021;epub ahead of print. pmid:33439364
- 13. Khan Q, Ismail M, Haider I, et al. Prevalence of the risk factors for QT prolongation and associated drug–drug interactions in a cohort of medical inpatients. J Formos Med Assoc 2019;118:109–15. pmid:29458991
- 14. Hefner G, Hahn M, Hiemke C, et al. Pharmacodynamic Drug–Drug interactions of QT-prolonging drugs in hospitalized psychiatric patients. J Neural Transm 2021;epub ahead of print. pmid:33417009
- 15. Wenzel-Seifert K, Wittmann M, Haen E. QTc Prolongation by Psychotropic Drugs and the Risk of Torsade de Pointes. Dtsch Arztebl Int 2011;108:687–93. pmid:22114630
- 16. Kalisch Ellett LM, Pratt NL, Ramsay EN, et al. Multiple anticholinergic medication use and risk of hospital admission for confusion or dementia. J Am Geriatr Soc 2014;62:1916–22. pmid:25284144
- 17. Pasquier M, Pantet O, Hugli O, et al. Prevalence and determinants of QT interval prolongation in medical inpatients: QT interval prolongation. Intern Med J 2012;42:933–40. pmid:21299787
- 18. Mangoni AA, Jackson SHD. Age-related changes in pharmacokinetics and pharmacodynamics: basic principles and practical applications: Age-related changes in pharmacokinetics and pharmacodynamics. Br J Clin Pharmacol 2003;57:6–14. pmid:14678335
- 19. Holt S, Schmiedl S, Thürmann PA. Potentially inappropriate medications in the elderly: the PRISCUS list. Dtsch Arztebl Int 2010;107:543–51. pmid:20827352
- 20. Fick DM, Cooper JW, Wade WE, et al. Updating the Beers Criteria for Potentially Inappropriate Medication Use in Older Adults: Results of a US Consensus Panel of Experts. Arch Intern Med 2003;163:2716. pmid:14662625
- 21. Motter FR, Fritzen JS, Hilmer SN, et al. Potentially inappropriate medication in the elderly: a systematic review of validated explicit criteria. Eur J Clin Pharmacol 2018;74:679–700. pmid:29589066
- 22.
WHO. Medication Safety in Polypharmacy. Genf: World Health Organization 2019.
- 23. Hefner G, Hahn M, Toto S, et al. Potentially inappropriate medication in older psychiatric patients. Eur J Clin Pharmacol 2021;77:331–9. pmid:33029652
- 24. Wolff J, Gary A, Jung D, et al. Predicting patient outcomes in psychiatric hospitals with routine data: a machine learning approach. BMC Med Inform Decis Mak 2020;20:21. pmid:32028934
- 25. Wolff J, Hefner G, Normann C, et al. Polypharmacy and the risk of drug–drug interactions and potentially inappropriate medications in hospital psychiatry. Pharmacoepidemiol Drug Saf 2021;:pds.5310. pmid:34146372
- 26. Wolff J, Hefner G, Normann C, et al. Predicting the risk of drug–drug interactions in psychiatric hospitals: a retrospective longitudinal pharmacovigilance study. BMJ Open 2021;11:e045276. pmid:33837103
- 27. Hiemke C, Bergemann N, Clement H, et al. Consensus Guidelines for Therapeutic Drug Monitoring in Neuropsychopharmacology: Update 2017. Pharmacopsychiatry 2018;51:9–62. pmid:28910830
- 28. Grözinger M, Dragicevic A, Hiemke C, et al. Melperone is an Inhibitor of the CYP2D6 Catalyzed O-demethylation of Venlafaxine. Pharmacopsychiatry 2003;36:3–6. pmid:12649767
- 29. Mannheimer B, von Bahr C, Pettersson H, et al. Impact of Multiple Inhibitors or Substrates of Cytochrome P450 2D6 on Plasma Risperidone Levels in Patients on Polypharmacy: Ther Drug Monit 2008;30:565–9. pmid:18728628
- 30. Wójcikowski J, Pichard-Garcia L, Maurel P, et al. Perazine as a potent inhibitor of human CYP1A2 but not CYP3A4. Pol J Pharmacol 2002;54:407–10. pmid:12523495
- 31. Schaller G, Jacobi A, Rotter A, et al. Perazine elevates clozapine serum levels by inhibiting hepatic metabolism. Prog Neuropsychopharmacol Biol Psychiatry 2009;33:908–9. pmid:19376183
- 32. Fischer M, Unterecker S, Deckert J, et al. Elevated clozapine serum levels in combination with perazine. Psychopharmacology 2013;226:623–5. pmid:23397051
- 33. Hiemke , Christoph C, Eckermann G. Kombinationstherapie/Polypharmazie—Interaktionen von Psychopharmaka. Arzneimitteltherapie 2014;32:361–70.
- 34.
Woosley R, Romero K. Crediblemeds.org QT drugs List. AZCERT, Inc. 2020.https://crediblemeds.org/.
- 35. Romero K, Woosley RL. Clarification to the www.qtdrugs.org updated lists. Pharmacoepidemiol Drug Saf 2009;18:423–4. pmid:19382150
- 36. Chew ML, Mulsant BH, Pollock BG, et al. Anticholinergic Activity of 107 Medications Commonly Used by Older Adults. J Am Geriatr Soc 2008;56:1333–41. pmid:18510583
- 37. Lertxundi U, Domingo-Echaburu S, Hernandez R, et al. Expert-based drug lists to measure anticholinergic burden: similar names, different results: Scores to measure anticholinergic burden. Psychogeriatrics 2013;13:17–24. pmid:23551407
- 38.
Laux G, Dietmaier O. Was sind Psychopharmaka? In: Psychopharmaka. Berlin, Heidelberg: Springer Berlin Heidelberg 2018. 11–3. https://doi.org/10.1007/978-3-662-55576-7_2
- 39. Masnoon N, Shakib S, Kalisch-Ellett L, et al. What is polypharmacy? A systematic review of definitions. BMC Geriatr 2017;17:230. pmid:29017448
- 40. Mouaffak F, Hozer F, Delomel O, et al. Adding to Antidepressant Augmentation. Journal of Clinical Psychopharmacology 2014;34:770. pmid:25203468
- 41. Busner J, Targum SD. The Clinical Global Impressions Scale. Psychiatry (Edgmont) 2007;4:28–37. pmid:20526405
- 42. Agresti A, Coull BA. Approximate Is Better than “Exact” for Interval Estimation of Binomial Proportions. The American Statistician 1998;52:119–26.
- 43. Prisco V, Iannaccone T, Capuano A, et al. Drug safety warnings in psychiatry: Adverse drug reactions’ signaling from 2002 to 2014. Eur Psychiatr 2017;41:S758–S758.
- 44. Davis KAS, Farooq S, Hayes JF, et al. Pharmacoepidemiology research: delivering evidence about drug safety and effectiveness in mental health. The Lancet Psychiatry 2020;7:363–70. pmid:31780306
- 45. Cipriani A, Furukawa TA, Salanti G, et al. Comparative efficacy and acceptability of 21 antidepressant drugs for the acute treatment of adults with major depressive disorder: a systematic review and network meta-analysis. The Lancet 2018;391:1357–66. pmid:29477251
- 46.
Gelenberg AJ, Freeman MP, Markowitz JC, et al. Practice guideline for the treatment of patients with major depressive disorder. 3rd ed.
- 47. Fournier JC, DeRubeis RJ, Hollon SD, et al. Antidepressant Drug Effects and Depression Severity: A Patient-Level Meta-analysis. JAMA 2010;303:47. pmid:20051569
- 48. Kirsch I, Deacon BJ, Huedo-Medina TB, et al. Initial severity and antidepressant benefits: a meta-analysis of data submitted to the Food and Drug Administration. PLoS Med 2008;5:e45. pmid:18303940
- 49. Bockting CLH, ten Doesschate MC, Spijker J, et al. Continuation and Maintenance Use of Antidepressants in Recurrent Depression. Psychother Psychosom 2008;77:17–26. pmid:18087204
- 50. DeRubeis RJ, Siegle GJ, Hollon SD. Cognitive therapy versus medication for depression: treatment outcomes and neural mechanisms. Nat Rev Neurosci 2008;9:788–96. pmid:18784657
- 51. de Mello MF, de Jesus Mari J, Bacaltchuk J, et al. A systematic review of research findings on the efficacy of interpersonal therapy for depressive disorders. Eur Arch Psychiatry Clin Neurosci 2005;255:75–82. pmid:15812600
- 52. UK ECT Review Group. Efficacy and safety of electroconvulsive therapy in depressive disorders: a systematic review and meta-analysis. The Lancet 2003;361:799–808. pmid:12642045
- 53. Nahas Z, Marangell LB, Husain MM, et al. Two-Year Outcome of Vagus Nerve Stimulation (VNS) for Treatment of Major Depressive Episodes. J Clin Psychiatry 2005;66:1097–104. pmid:16187765
- 54. Dodd S, Horgan D, Malhi GS, et al. To combine or not to combine? A literature review of antidepressant combination therapy. Journal of Affective Disorders 2005;89:1–11. pmid:16169088
- 55. Blier P, Ward HE, Tremblay P, et al. Combination of antidepressant medications from treatment initiation for major depressive disorder: a double-blind randomized study. Am J Psychiatry 2010;167:281–8. pmid:20008946
- 56. Ravindran LN, Eisfeld BS, Kennedy SH. Combining mirtazapine and duloxetine in treatment-resistant depression improves outcomes and sexual function. J Clin Psychopharmacol 2008;28:107–8. pmid:18204355
- 57. Meagher D, Hannan N, Leonard M. Duloxetine-mirtazapine combination in depressive illness: The case for Limerick “rocket fuel”. Ir J Psychol Med 2006;23:116–8. pmid:30290515
- 58. Hannan N, Hamzah Z, Akinpeloye HO, et al. Venlafaxine-mirtazapine combination in the treatment of persistent depressive illness. J Psychopharmacol 2007;21:161–4. pmid:17329295
- 59. Malhi GS, Ng F, Berk M. Dual-dual action? Combining venlafaxine and mirtazapine in the treatment of depression. Aust N Z J Psychiatry 2008;42:346–9. pmid:18330778
- 60. Tundo A, de Filippis R, Proietti L. Pharmacologic approaches to treatment resistant depression: Evidences and personal experience. World J Psychiatry 2015;5:330–41. pmid:26425446
- 61. Nelson JC, Papakostas GI. Atypical Antipsychotic Augmentation in Major Depressive Disorder: A Meta-Analysis of Placebo-Controlled Randomized Trials. AJP 2009;166:980–91. pmid:19687129
- 62. Hermes EDA, Sernyak M, Rosenheck R. Use of second-generation antipsychotic agents for sleep and sedation: a provider survey. Sleep 2013;36:597–600. pmid:23565006
- 63. Hajak G, Rodenbeck A, Voderholzer U, et al. Doxepin in the Treatment of Primary Insomnia: A Placebo-Controlled, Double-Blind, Polysomnographic Study. J Clin Psychiatry 2001;62:453–63. pmid:11465523
- 64. Hirsch S, Steinert T. The Use of Rapid Tranquilization in Aggressive Behavior. Deutsches Aerzteblatt Online Published Online First: 28 June 2019. pmid:31431244
- 65. Farahani A, Correll CU. Are Antipsychotics or Antidepressants Needed for Psychotic Depression?: A Systematic Review and Meta-Analysis of Trials Comparing Antidepressant or Antipsychotic Monotherapy With Combination Treatment. J Clin Psychiatry 2012;73:486–96. pmid:22579147
- 66. Wijkstra J, Lijmer J, Burger H, et al. Pharmacological treatment for psychotic depression. Cochrane Database Syst Rev 2015;:CD004044. pmid:26225902
- 67. Rush AJ, South C, Jha MK, et al. What to Expect When Switching to a Second Antidepressant Medication Following an Ineffective Initial SSRI: A Report From the Randomized Clinical STAR*D Study. J Clin Psychiatry 2020;81. pmid:32780949
- 68. Schosser A, Serretti A, Souery D, et al. European Group for the Study of Resistant Depression (GSRD)—Where have we gone so far: Review of clinical and genetic findings. European Neuropsychopharmacology 2012;22:453–68. pmid:22464339
- 69. Bschor T, Baethge C. No evidence for switching the antidepressant: systematic review and meta-analysis of RCTs of a common therapeutic strategy. Acta Psychiatrica Scandinavica 2010;121:174–9. pmid:19703121
- 70. Ruhé HG, Huyser J, Swinkels JA, et al. Switching Antidepressants After a First Selective Serotonin Reuptake Inhibitor in Major Depressive Disorder: A Systematic Review. J Clin Psychiatry 2006;67:1836–55. pmid:17194261
- 71. Mintzer J, Burns A. Anticholinergic side-effects of drugs in elderly people. J R Soc Med 2000;93:457–62. pmid:11089480
- 72. Lupu AM, Clinebell K, Gannon JM, et al. Reducing Anticholinergic Medication Burden in Patients With Psychotic or Bipolar Disorders. J Clin Psychiatry 2017;78:e1270–5. pmid:29178683
- 73. Nosè M, Bighelli I, Castellazzi M, et al. Prevalence and correlates of QTc prolongation in Italian psychiatric care: cross-sectional multicentre study. Epidemiol Psychiatr Sci 2016;25:532–40. pmid:26467074
- 74. Beach SR, Celano CM, Noseworthy PA, et al. QTc Prolongation, Torsades de Pointes, and Psychotropic Medications. Psychosomatics 2013;54:1–13. pmid:23295003
- 75. Hasnain M, Vieweg WVR. QTc Interval Prolongation and Torsade de Pointes Associated with Second-Generation Antipsychotics and Antidepressants: A Comprehensive Review. CNS Drugs 2014;28:887–920. pmid:25168784
- 76. de Leon J. Why Do You Keep Telling Me That Drug-Drug Interactions Are Important in Psychopharmacology When I Do Not See Them in My Clinical Practice?: My Failure to Convince Clinicians. J Clin Psychopharmacol 2019;39:1–4. pmid:30212396
- 77. English BA, Dortch M, Ereshefsky L, et al. Clinically Significant Psychotropic Drug-Drug Interactions in the Primary Care Setting. Curr Psychiatry Rep 2012;14:376–90. pmid:22707017
- 78. Liefaard L, Chen C. Quantifying the Effectiveness of Dose Individualization by Simulation for a Drug With Moderate Pharmacokinetic Variability. Therapeutic Drug Monitoring 2015;37:641–8. pmid:26378372
- 79. Rhee TG, Rosenheck RA. Psychotropic polypharmacy reconsidered: Between-class polypharmacy in the context of multimorbidity in the treatment of depressive disorders. Journal of Affective Disorders 2019;252:450–7. pmid:31004825
- 80. Cascade EF, Kalali AH, Blier P. Treatment of depression: antidepressant monotherapy and combination therapy. Psychiatry (Edgmont) 2007;4:25–7. pmid:20428299
- 81. Lenderts S, Kalali A. Treatment of depression: an update on antidepressant monotherapy and combination therapy. Psychiatry (Edgmont) 2009;6:15–7. pmid:19763202