Introduction: Bipolar disorder is a chronic, debilitating psychiatric disorder. Mood stabilizers and atypical antipsychotics are first line drugs for bipolar disorder. They have significant adverse effects.

Aim: The study was conducted with an aim to evaluate the pattern of occurrence of Adverse Drug Reactions (ADRs) in the patients with bipolar disorder and to assess their causality, severity and preventability.

Materials And Methods: A prospective and observational study - carried out in the psychiatry outpatient department of New Civil Hospital, Surat for 15 months. All patients diagnosed with bipolar disorder and receiving pharmacotherapy were included. Udvalg for Kliniske Undersøgelser (UKU) side effect rating scale and Abnormal Involuntary Movement Scale (AIMS) were used for documenting ADRs and tardive dyskinesia, respectively. Assessment of causality, severity and preventability of recorded ADRs was done using Naranjo's algorithm and WHO-UMC scale, modified Hartwig and Seigel Scale and modified Schumock and Thornton scale, respectively. Descriptive statistics was used (percentage, mean±standard deviation) for presentation of demographics and other numerical data; Chi Square test and Fisher's exact test were used to assess association between variables. A p-value < 0.05 was considered significant.

Results: A total of 703 ADRs were recorded from 175 patients. The most common ADRs observed were asthenia (11.95%) and sedation (10.24%). Majority of ADRs were mild on assessment with UKU scale. Mood stabilizers (59.46%) were most frequently associated with ADRs and lithium was most common single drug responsible. Upon causality assessment, majority of the reactions were probable (54.77% with WHO-UMC scale, and 56.33% with Naranjo's algorithm). The association of results between the two scales was statistically significant (p<0.001). Majority of ADRs (70.27%) were assessed as mild and 64.30% of the ADRs were not preventable.

Conclusion: ADRs are a frequent occurrence in patients with bipolar disorder which are mild in most cases. Incidence of ADRs can be decreased and compliance as well as quality of life of patient can be improved by early detection and management.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5483701PMC
http://dx.doi.org/10.7860/JCDR/2017/24009.9873DOI Listing

Publication Analysis

Top Keywords

bipolar disorder
20
adverse drug
8
drug reactions
8
patients bipolar
8
psychiatry outpatient
8
outpatient department
8
mood stabilizers
8
causality severity
8
naranjo's algorithm
8
who-umc scale
8

Similar Publications

Machine learning-based assessment of morphometric abnormalities distinguishes bipolar disorder and major depressive disorder.

Neuroradiology

January 2025

Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.

Introduction: Bipolar disorder (BD) and major depressive disorder (MDD) have overlapping clinical presentations which may make it difficult for clinicians to distinguish them potentially resulting in misdiagnosis. This study combined structural MRI and machine learning techniques to determine whether regional morphological differences could distinguish patients with BD and MDD.

Methods: A total of 123 participants, including BD (n = 31), MDD (n = 48), and healthy controls (HC, n = 44), underwent high-resolution 3D T1-weighted imaging.

View Article and Find Full Text PDF

Bipolar disorder (BD) involves altered reward processing and decision-making, with inconsistencies across studies. Here, we integrated hierarchical Bayesian modelling with magnetoencephalography (MEG) to characterise maladaptive belief updating in this condition. First, we determined if previously reported increased learning rates in BD stem from a heightened expectation of environmental changes.

View Article and Find Full Text PDF

Synaptic protein expression in bipolar disorder patient-derived neurons implicates PSD-95 as a marker of lithium response.

Neuropharmacology

January 2025

Department of Psychiatry and Center for Circadian Biology, University of California San Diego, La Jolla, CA, USA; VA San Diego Healthcare System, San Diego, CA, USA. Electronic address:

Bipolar disorder (BD) is a severe mental illness characterized by recurrent episodes of depression and mania. Lithium is the gold standard pharmacotherapy for BD, but outcomes are variable, and the relevant therapeutic mechanisms underlying successful treatment response remain uncertain. To identify synaptic markers of BD and lithium response, we measured the effects of lithium on induced pluripotent stem cell-derived neurons from BD patients and controls.

View Article and Find Full Text PDF

Introduction: Unipolar and bipolar mood disorders in older adults are accompanied by cognitive impairment, including executive dysfunction, with a severe impact on daily life. Up and till now, strategies to improve cognitive functioning in late-life mood disorders (LLMD) are sparse. Therefore, we aimed to assess the efficacy of adaptive, computerized cognitive training (CT) on executive and subjective cognitive functioning in LLMD.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!