Neuropsychiatric adverse drug reactions associated with low dose methotrexate in rheumatoid arthritis patients

BACKGROUND: Neuropsychiatric adverse drug reactions (NPADRs) are not commonly associated with low dose methotrexate (LDMTX) in patients with rheumatoid arthritis (RA). RESEARCH DESIGN AND METHODS: In this case series assessment, we described the nature and frequency of NPADRs with LDMTX in the Dutch DREAM-RA registry, including causality of NPADRs, the impact on further LDMTX treatment and the impact on patient reported Health Related Quality of Life (HRQoL). RESULTS: A total of 71 NPADRs (frequency 6.8%) associated with LDMTX were captured in the DREAM-RA registry. NPADRs were registered for 62 (5.9%) out of 1048 patients with 10.9 NPADRs per 1000 patient years. Headache, dizziness and depression were most frequently reported. The causality was considered probable for 67 NPADRs (94.4%) and definite for 1 NPADR (1.4%). NPADRs led to LDMTX withdrawal in 34 cases (47.9%) and was not restarted in 16 cases (47.1%). Median mental HRQoL was significantly decreased around the occurrence of the NPADR and remained significantly lower after the event. Median physical HRQoL was not significantly affected. CONCLUSIONS: Knowledge on the nature, frequency and impact of the demonstrated NPADRs during LDMTX therapy will enhance attention toward these potential ADRs allowing better risk assessment and communication to patients

Inhibition of CYP2D6 with low dose (5 mg) paroxetine in patients with high 10-hydroxynortriptyline serum levels-A prospective pharmacokinetic study

The antidepressant nortriptyline is metabolized by cytochrome P450 2D6 (CYP2D6) to the less active and more cardiotoxic drug metabolite, 10-hydroxynortriptyline. High serum levels of this metabolite (>200 μg/L) may lead to withdrawal of nortriptyline therapy. Adding CYP2D6 inhibitors reduce the metabolic activity of CYP2D6 (phenoconversion) and so decrease the forming of hydroxynortriptyline. In this study, 5 mg paroxetine is administered to patients with high hydroxynortriptyline concentrations (>200 μg/L). The shift in number of patients to therapeutic nortriptyline (50-150 μg/L) and safe hydroxynortriptyline (<200 μg/L) concentrations, and the degree of phenoconversion, expressed as the change in ratio nortriptyline/hydroxynortriptyline concentrations before and after paroxetine addition, are prospectively observed and described. After paroxetine addition, 12 patients (80%) had therapeutic nortriptyline and safe hydroxynortriptyline concentrations. Hydroxynortriptyline concentrations decreased in all patients. The average nortriptyline/hydroxynortriptyline concentrations ratio increased from 0.32 to 0.59. This study shows that 5 mg paroxetine addition is able to lower high hydroxynortriptyline serum levels to safe ranges

Development of a Framework Structuring Themes in the Course of Adverse Drug Reactions from a Patient's Perspective

INTRODUCTION: There is a need for more extensive information about adverse drug reactions (ADRs) for patients than currently available, including information on the course of ADRs. Aspects characterising the course of ADRs from the patient perspective have not been identified before.OBJECTIVE: We aimed to develop a framework based on common themes in the course of ADRs identified from patient descriptions in patient-reported ADRs.METHODS: In this qualitative study, patient descriptions of the course of patient-reported ADRs were analysed by a thematic analysis with an inductive approach using three different existing datasets containing patient-reported ADRs. Two datasets included patient-reported ADRs from cohort event monitoring of biologics and direct oral anticoagulants and one dataset included spontaneous reports from patients concerning medication for lower urinary tract symptoms. A conceptual framework was developed from the identified main themes and subthemes.RESULTS: Patient-reported data concerning 3888 ADRs were analysed. Six main themes with multiple subthemes were identified from patient descriptions of the course of ADRs. Four themes were descriptive: frequency of an ADR episode, duration of an ADR episode, moment or period of ADR occurrence, and development in the intensity of the ADR. Two themes concerned factors influencing the course of ADRs: triggering factors and improving factors.CONCLUSIONS: The presented framework illustrates that patients describe extensive details on the course and timeframe of ADRs. The identified themes provide a basis for improving the systematic data collection of more extensive details about ADRs from patients as a first step towards the provision of more comprehensive ADR information to patients.</p

Body weight gain in clozapine-treated patients:Is norclozapine the culprit?

The antipsychotic drug clozapine is associated with weight gain. The proposed mechanisms include blocking of serotonin (5-HT2a/2c ), dopamine (D2 ) and histamine (H1 ) receptors. Clozapine is metabolized by cytochrome P450 1A2 (CYP1A2) to norclozapine, a metabolite with more 5-HT2c -receptor and less H1 blocking capacity. We hypothesized that norclozapine serum levels correlate with body mass index (BMI), waist circumference and other parameters of the metabolic syndrome. We performed a retrospective cross-sectional study in 39 patients (female n = 8 (20.5%), smokers n = 18 (46.2%), average age 45.8 ± 9.9 years) of a clozapine outpatient clinic in the Netherlands between 1 January 2017 and 1 July 2020. Norclozapine concentrations correlated with waist circumference (r = 0.354, P = .03) and hemoglobin A1c (HbA1c) (r = 0.34, P = .03). In smokers (smoking induces CYP1A2), norclozapine concentrations correlated with waist circumference (r = 0.723, P = .001), HbA1c (r = 0.49, P = .04) and BMI (r = 0.63, P = .004). Elucidating the relationship between norclozapine and adverse effects of clozapine use offers perspectives for interventions and treatment options

Stakeholders' perspectives on a patient-reported outcome measure-based drug safety monitoring system for immune-mediated inflammatory diseases

Background: Biologics are used as effective therapeutics to treat a variety of diseases. Even though biologics are widely used, knowledge on the post-marketing experience of patients is limited. Therefore, a framework was established for a patient-reported outcome measure (PROM)-based drug safety monitoring system for ADRs attributed to biologics, known as the ‘Dutch Biologic Monitor’. Objective: Generation of a multi-stakeholder perspective on the preferred setup, potential and added value of a PROM-based national drug safety monitoring system. Methods: Nineteen stakeholders were interviewed following a structured interview guide. Transcribed data were coded and analyzed to count frequencies and to generate recurring themes. Results: Stakeholders (84.2%) support the establishment of a national drug safety monitoring system, but the feasibility depends on the implementation process. The need for integration and assessment of PROMs on ADRs in clinical practice and the preference to monitor small molecules and new drugs were emphasized. Preferably, all pharmacological options per indication should be monitored. Conclusions: Stakeholders recommend to establish a PROM-based national drug safety monitoring system focused on ADRs attributed to biologics, small molecules, and new drugs. Moreover, PROMs on ADRs ideally need to become integrated in clinical practice to provide health-care providers more insight in patients’ perspectives

Immune-mediated inflammatory disease patients' preferences in adverse drug reaction information regarding biologics

Objectives: Patient-reported outcomes (PROs) are increasingly used in studies and medical practice to obtain information on patients’ perspectives toward their treatment or disease. However, most study outcomes are primarily directed at healthcare professionals. It was aimed to obtain insight in which type of information immune-mediated inflammatory disease (IMID) patients prefer to receive after participating in the Dutch Biologic Monitor (DBM), a PRO-based prospective cohort event monitoring system focused on adverse drug reactions (ADRs). Methods: A survey was conducted among DBM participants that wanted information about the results. Patients’ preferences were identified using twelve statements and rated with five-point Likert-type scales. Subgroup analyses and differences between statements were performed using Mann-Whitney U Tests. Results: The survey was completed by 591 patients (response rate 67.6%). Most respondents had inflammatory rheumatic diseases (76.8%) and used adalimumab (37.2%) or etanercept (33.2%). Respondents preferred results per IMID over aggregated results (p = <0.001). Information on whether patients with similar IMIDs experience ADRs (average 4.5), which biologics are most likely to cause ADRs (4.4) and whether ADRs disappear (4.4) were most interesting. Conclusion: DBM participants prefer to receive disease-specific information on ADRs that is tailored to their own biologic and IMID, including the outcome of ADRs

Gastrointestinal adverse drug reaction profile of etanercept:Real world data from patients and healthcare professionals

Objective. We aimed to describe the nature and frequency of gastrointestinal adverse drug reactions (GI-ADRs) of etanercept (ETN) using patient-reported and healthcare professional (HCP)-registered data and compared this frequency with the GI-ADR frequency of the widely used tumor necrosis factor-α inhibitor adalimumab (ADA). Methods. Reported GI-ADRs of ETN for rheumatic diseases were collected from the Dutch Biologic Monitor and DREAM registries. We described the clinical course of GI-ADRs and compared the frequency with ADA in both data sources using Fisher exact test. Results. Out of 416 patients using ETN for inflammatory rheumatic diseases in the Dutch Biologic Monitor, 25 (6%) patients reported 36 GI-ADRs. In the DREAM registries 11 GI-ADRs were registered for 9 patients (2.3%), out of 399 patients using ETN, with an incidence of 7.1 per 1000 patient-years. Most GI-ADRs consisted of diarrhea, nausea, and abdominal pain. GI-ADRs led to ETN discontinuation in 1 patient (4%) and dose adjustment in 4 (16%) in the Dutch Biologic Monitor. Eight GI-ADRs (73%) led to ETN discontinuation in the DREAM registries. The frequency of GI-ADRs of ETN did not significantly differ from GI-ADRs of ADA in both data sources (Dutch Biologic Monitor: ETN 8.7% vs ADA 5.3%, P = 0.07; DREAM: ETN 2.8% vs ADA 4.7%, P = 0.16). Conclusion. Most GI-ADRs associated with ETN concerned gastrointestinal symptoms. These ADRs may lead to dose adjustment or ETN discontinuation. The frequency of ETN-associated GI-ADRs was comparable to the frequency of ADA-associated GI-ADRs. Knowledge about these previously unknown ADRs can facilitate early recognition and improve patient communication

Development of a text mining algorithm for identifying adverse drug reactions in electronic health records

Objective: Adverse drug reactions (ADRs) are a significant healthcare concern. They are often documented as free text in electronic health records (EHRs), making them challenging to use in clinical decision support systems (CDSS). The study aimed to develop a text mining algorithm to identify ADRs in free text of Dutch EHRs. Materials and Methods: In Phase I, our previously developed CDSS algorithm was recoded and improved upon with the same relatively large dataset of 35 000 notes (Step A), using R to identify possible ADRs with Medical Dictionary for Regulatory Activities (MedDRA) terms and the related Systematized Nomenclature of Medicine Clinical Terms (SNOMED-CT) (Step B). In Phase II, 6 existing text-mining R-scripts were used to detect and present unique ADRs, and positive predictive value (PPV) and sensitivity were observed. Results: In Phase IA, the recoded algorithm performed better than the previously developed CDSS algorithm, resulting in a PPV of 13% and a sensitivity of 93%. For The sensitivity for serious ADRs was 95%. The algorithm identified 58 additional possible ADRs. In Phase IB, the algorithm achieved a PPV of 10%, a sensitivity of 86%, and an F-measure of 0.18. In Phase II, four R-scripts enhanced the sensitivity and PPV of the algorithm, resulting in a PPV of 70%, a sensitivity of 73%, an F-measure of 0.71, and a 63% sensitivity for serious ADRs. Discussion and Conclusion: The recoded Dutch algorithm effectively identifies ADRs from free-text Dutch EHRs using R-scripts and MedDRA/SNOMED-CT. The study details its limitations, highlighting the algorithm's potential and significant improvements

Patients' perspectives on a drug safety monitoring system for immune-mediated inflammatory diseases based on patient-reported outcomes

Patient-reported outcomes (PROs) on adverse drug reactions (ADRs) are increasingly used in cohort event monitoring (CEM) to obtain a better understanding of patients’ real-world experience with drugs. Despite the leading role for patients, little is known about their perspectives on CEM systems. In a cross-sectional open survey following the rationale of the Technology Acceptance Model, we aimed to obtain insight in patients’ perspectives on the perceived usefulness, ease of use and attitude toward using a PRO-based drug safety monitoring system for ADRs attributed to biologics. Patients considered structural reporting of ADRs in web-based questionnaires as useful and not burdensome. It was preferred to link the questionnaire frequency to regular hospital consultations or the biologic administration schedule. Various respondents were interested in sharing questionnaires with their medical specialist (49.0%) or pharmacist (34.2%), and suggested to minimize the questionnaire frequency in case of an unaltered situation or absence of ADRs. Patients’ perspectives should be considered in the setup of PRO-based CEM studies, as this contributes to data quality and patient centeredness. Since incorporation of patients’ perspectives in CEM studies is indispensable, a delicate balance should be found between user-friendliness and study aims.</p