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Frontiers in Neurology 2024The prevalence of comorbid pain and Bipolar Disorder in clinical practice continues to be high, with an increasing number of related publications. However, no study has...
PURPOSE
The prevalence of comorbid pain and Bipolar Disorder in clinical practice continues to be high, with an increasing number of related publications. However, no study has used bibliometric methods to analyze the research progress and knowledge structure in this field. Our research is dedicated to systematically exploring the global trends and focal points in scientific research on pain comorbidity with bipolar disorder from 2003 to 2023, with the goal of contributing to the field.
METHODS
Relevant publications in this field were retrieved from the Web of Science core collection database (WOSSCC). And we used VOSviewer, CiteSpace, and the R package "Bibliometrix" for bibliometric analysis.
RESULTS
A total of 485 publications (including 360 articles and 125 reviews) from 66 countries, 1019 institutions, were included in this study. Univ Toront and Kings Coll London are the leading research institutions in this field. J Affect Disorders contributed the largest number of articles, and is the most co-cited journal. Of the 2,537 scholars who participated in the study, Stubbs B, Vancampfort D, and Abdin E had the largest number of articles. Stubbs B is the most co-cited author. "chronic pain," "neuropathic pain," "psychological pain" are the keywords in the research.
CONCLUSION
This is the first bibliometric analysis of pain-related bipolar disorder. There is growing interest in the area of pain and comorbid bipolar disorder. Focusing on different types of pain in bipolar disorder and emphasizing pain management in bipolar disorder are research hotspots and future trends. The study of pain related bipolar disorder still has significant potential for development, and we look forward to more high-quality research in the future.
PubMed: 38846044
DOI: 10.3389/fneur.2024.1393022 -
The Australian and New Zealand Journal... Jun 2024Harmonized tools are essential for reliable data sharing and accurate identification of relevant factors in mental health research. The primary objective of this study... (Review)
Review
OBJECTIVE
Harmonized tools are essential for reliable data sharing and accurate identification of relevant factors in mental health research. The primary objective of this study was to create a harmonized questionnaire to collect demographic, clinical and behavioral data in diverse clinical trials in adult psychiatry.
METHODS
We conducted a literature review and examined 24 questionnaires used in previously published randomized controlled trials in psychiatry, identifying a total of 27 domains previously explored. Using a Delphi-method process, a task force team comprising experts in psychiatry, epidemiology and statistics selected 15 essential domains for inclusion in the final questionnaire.
RESULTS
The final selection resulted in a concise set of 22 questions. These questions cover factors such as age, sex, gender, ancestry, education, living arrangement, employment status, home location, relationship status, and history of medical and mental illness. Behavioral factors like physical activity, diet, smoking, alcohol and illicit drug use were also included, along with one question addressing family history of mental illness. Income was excluded due to high confounding and redundancy, while language was included as a measure of migration status.
CONCLUSION
The recommendation and adoption of this harmonized tool for the assessment of demographic, clinical and behavioral data in mental health research can enhance data consistency and enable comparability across clinical trials.
PubMed: 38845137
DOI: 10.1177/00048674241253452 -
BMC Psychiatry Jun 2024People with severe mental illness (SMI) such as schizophrenia and bipolar disorder are at a substantially higher risk of premature death in that they die between 10 and...
BACKGROUND
People with severe mental illness (SMI) such as schizophrenia and bipolar disorder are at a substantially higher risk of premature death in that they die between 10 and 20 years earlier than the general population. Cardiovascular disease (CVD) and diabetes are the main potentially avoidable contributors to early death. Research that explores the experiences of people with SMI highlights their struggles in engaging with health professionals and accessing effective and timely interventions for physical health conditions. A consequence of such struggles to navigate and access physical healthcare results in many people with SMI relying heavily on support provided by informal carers (e.g., family members, close friends). Despite this, the experiences of informal carers, and the roles they undertake in relation to supporting the physical health and psychotropic medication use of people with SMI, remains under-researched.
AIMS
To explore the impacts of providing care for physical health in severe mental illness on informal carers.
METHOD
Thematic analysis of semi-structured interviews with eight informal carers of people with SMI in United Kingdom (UK) national health services.
RESULTS
Informal carers played an active part in the management of the patient's conditions and shared their illness experience. Involvement of informal carers was both emotional and practical and informal carers' own lives were affected in ways that were sometimes deeply profound. Informal carers were involved in both 'looking after' the patient from the perspective of doing practical tasks such as collecting dispensed medication from a community pharmacy (caring for) and managing feelings and emotions (caring about).
CONCLUSIONS
Providing care for the physical health of someone with SMI can be understood as having two dimensions - 'caring for' and 'caring about'. The findings suggest a bidirectional relationship between these two dimensions, and both have a cost for the informal carer. With appropriate support informal carers could be more actively involved at all stages of care without increasing their burden. This should be with an awareness that carers may minimise the information they share about their own needs and impacts of their role to spare the person they care and themselves any distress.
Topics: Humans; Caregivers; Male; Female; Qualitative Research; Middle Aged; Mental Disorders; Adult; Aged; United Kingdom; Social Support; Health Status; Schizophrenia
PubMed: 38844879
DOI: 10.1186/s12888-024-05864-3 -
Turk Psikiyatri Dergisi = Turkish... 2024Lithium may cause toxicity as it has a narrow therapeutic range. Lithium intoxication may manifest in the form of acute, acute on chronic and chronic intoxication....
Lithium may cause toxicity as it has a narrow therapeutic range. Lithium intoxication may manifest in the form of acute, acute on chronic and chronic intoxication. Neurotoxicity is a common component of chronic lithium intoxication and the symptoms include tremor, ataxia, dysarthria, extrapyramidal symptoms, hyperreflexia, seizures and status epilepticus. Although rare, catatonia could as a manifestation of lithium neurotoxicity. In this report, we present a patient with bipolar disorder presenting with catatonic symptoms secondary to lithium intoxication. We will discuss the risk factors, differential diagnosis and the treatment of catatonic symptoms. Lithium neurotoxicity may present with various clinical symptoms including catatonia, and differential diagnosis should be made well in such cases. If lithium neurotoxicity is suspected, rapid and appropriate intervention is required to prevent permanent neurological damage. Keywords: Lithium, Neurotoxicity, Catatonia.
Topics: Humans; Antimanic Agents; Bipolar Disorder; Catatonia; Diagnosis, Differential; Neurotoxicity Syndromes
PubMed: 38842156
DOI: 10.5080/u27074 -
Communications Biology Jun 2024Advanced methods such as REACT have allowed the integration of fMRI with the brain's receptor landscape, providing novel insights transcending the multiscale...
Advanced methods such as REACT have allowed the integration of fMRI with the brain's receptor landscape, providing novel insights transcending the multiscale organisation of the brain. Similarly, normative modelling has allowed translational neuroscience to move beyond group-average differences and characterise deviations from health at an individual level. Here, we bring these methods together for the first time. We used REACT to create functional networks enriched with the main modulatory, inhibitory, and excitatory neurotransmitter systems and generated normative models of these networks to capture functional connectivity deviations in patients with schizophrenia, bipolar disorder (BPD), and ADHD. Substantial overlap was seen in symptomatology and deviations from normality across groups, but these could be mapped into a common space linking constellations of symptoms through to underlying neurobiology transdiagnostically. This work provides impetus for developing novel biomarkers that characterise molecular- and systems-level dysfunction at the individual level, facilitating the transition towards mechanistically targeted treatments.
Topics: Humans; Schizophrenia; Magnetic Resonance Imaging; Adult; Male; Brain; Female; Bipolar Disorder; Attention Deficit Disorder with Hyperactivity; Mental Disorders; Young Adult; Models, Neurological; Middle Aged; Nerve Net
PubMed: 38839931
DOI: 10.1038/s42003-024-06391-3 -
Frontiers in Genetics 2024Observational studies have reported that mental disorders are comorbid with temporomandibular joint disorder (TMD). However, the causal relationship remains uncertain....
OBJECTIVE
Observational studies have reported that mental disorders are comorbid with temporomandibular joint disorder (TMD). However, the causal relationship remains uncertain. To clarify the causal relationship between three common mental illnesses and TMD, we conduct this Mendelian Randomization (MR) study.
METHODS
The large-scale genome-wide association studies data of major depression, bipolar disorder and schizophrenia were retrieved from the Psychiatric Genomics Consortium. The summary data of TMD was obtained from the Finn-Gen consortium, including 211,023 subjects of European descent (5,668 cases and 205,355 controls). The main approach utilized was inverse variance weighting (IVW) to evaluate the causal association between the three mental disorders and TMD. Five sensitivity analyses including MR-Egger, Maximum Likelihood, Weighted median, MR. RAPS and MR-PRESSO were used as supplements. We conducted heterogeneity tests and pleiotropic tests to ensure the robustness.
RESULTS
As shown by the IVW method, genetically determined major depression was associated with a 1.65-fold risk of TMD (95% CI = 1.10-2.47, < 0.05). The direction and effect size remained consistent with sensitivity analyses. The odds ratios (ORs) were 1.51 (95% CI = 0.24-9.41, > 0.05) for MR-Egger, 1.60 (95% CI = 0.98-2.61, > 0.05) for Weighted median, 1.68 (95% CI = 1.19-2.38, < 0.05) for Maximum likelihood, 1.56 (95% CI = 1.05-2.33, < 0.05) for MR. RAPS, and 1.65 (95% CI = 1.10-2.47, < 0.05) for MR-PRESSO, respectively. No pleiotropy was observed (both for MR-Egger intercept and Global test >0.05). In addition, the IVW method identified no significant correlation between bipolar disorder, schizophrenia and TMD.
CONCLUSION
Genetic evidence supports a causal relationship between major depression and TMD, instead of bipolar disorder and schizophrenia. These findings emphasize the importance of assessing a patient's depressive status in clinical settings.
PubMed: 38836036
DOI: 10.3389/fgene.2024.1395219 -
PloS One 2024How did mental healthcare utilization change during the COVID-19 pandemic period among individuals with pre-existing mental disorder? Understanding utilization patterns...
How did mental healthcare utilization change during the COVID-19 pandemic period among individuals with pre-existing mental disorder? Understanding utilization patterns of these at-risk individuals and identifying those most likely to exhibit increased utilization could improve patient stratification and efficient delivery of mental health services. This study leveraged large-scale electronic health record (EHR) data to describe mental healthcare utilization patterns among individuals with pre-existing mental disorder before and during the COVID-19 pandemic and identify correlates of high mental healthcare utilization. Using EHR data from a large healthcare system in Massachusetts, we identified three "pre-existing mental disorder" groups (PMD) based on having a documented mental disorder diagnosis within the 6 months prior to the March 2020 lockdown, related to: (1) stress-related disorders (e.g., depression, anxiety) (N = 115,849), (2) serious mental illness (e.g., schizophrenia, bipolar disorders) (N = 11,530), or (3) compulsive behavior disorders (e.g., eating disorder, OCD) (N = 5,893). We also identified a "historical comparison" group (HC) for each PMD (N = 113,604, 11,758, and 5,387, respectively) from the previous year (2019). We assessed the monthly number of mental healthcare visits from March 13 to December 31 for PMDs in 2020 and HCs in 2019. Phenome-wide association analyses (PheWAS) were used to identify clinical correlates of high mental healthcare utilization. We found the overall number of mental healthcare visits per patient during the pandemic period in 2020 was 10-12% higher than in 2019. The majority of increased visits was driven by a subset of high mental healthcare utilizers (top decile). PheWAS results indicated that correlates of high utilization (prior mental disorders, chronic pain, insomnia, viral hepatitis C, etc.) were largely similar before and during the pandemic, though several conditions (e.g., back pain) were associated with high utilization only during the pandemic. Limitations included that we were not able to examine other risk factors previously shown to influence mental health during the pandemic (e.g., social support, discrimination) due to lack of social determinants of health information in EHR data. Mental healthcare utilization among patients with pre-existing mental disorder increased overall during the pandemic, likely due to expanded access to telemedicine. Given that clinical correlates of high mental healthcare utilization in a major hospital system were largely similar before and during the COVID-19 pandemic, resource stratification based on known risk factor profiles may aid hospitals in responding to heightened mental healthcare needs during a pandemic.
Topics: Humans; COVID-19; Male; Female; Mental Disorders; Adult; Middle Aged; Patient Acceptance of Health Care; Mental Health Services; Pandemics; Electronic Health Records; Aged; SARS-CoV-2; Massachusetts; Young Adult; Adolescent
PubMed: 38833458
DOI: 10.1371/journal.pone.0303079 -
Neuropsychopharmacology Reports Jun 2024Neuroleptic malignant syndrome (NMS) is a rare and potentially life-threatening condition that may arise at any point during treatment and is often associated with...
BACKGROUND
Neuroleptic malignant syndrome (NMS) is a rare and potentially life-threatening condition that may arise at any point during treatment and is often associated with adverse reactions to dopamine-blocking agents. This syndrome is normally characterized by features such as muscle rigidity, alteration in consciousness, autonomic instability, and leukocytosis.
AIM
The aim of this study is to investigate a borderline intellectual functioning (BIF) case in which NMS with insidious disease progression and long prodromal symptoms was developed.
CASE PRESENTATION
The investigated patient was a 38-year-old female diagnosed with bipolar disorder and a variety of corresponding disorders. The patient exhibited gastrointestinal symptoms and restlessness in the weeks leading up to the study, subsequent to the administration of elevated doses of haloperidol, risperidone, and lithium. In addition, she was hospitalized for restlessness and aggressiveness in the summer of 2023. Furthermore, due to her chief complaint, she received parenteral haloperidol twice in the emergency room, subsequently experiencing fever, altered consciousness, generalized rigidity, and dysphagia. Moreover, the patient's initial creatine phosphokinase (CPK) level was 2550 IU/L, and she was hospitalized in an intensive care unit with the diagnosis of NMS for 8 days.
CONCLUSIONS
This case study highlights the necessity of being attentive about prodromal symptoms of NMS and emergent interventions.
PubMed: 38832410
DOI: 10.1002/npr2.12454 -
Cureus May 2024MDMA (3,4-methylenedioxymethamphetamine), also known as Ecstasy, is a synthetic amphetamine with hallucinogenic and stimulant properties, which has become...
MDMA (3,4-methylenedioxymethamphetamine), also known as Ecstasy, is a synthetic amphetamine with hallucinogenic and stimulant properties, which has become increasingly favored as a substance for recreational use. Despite its deceptive reputation as "safe," chronic MDMA use is associated with neuropsychiatric complications, including psychosis. We describe a case of a 23-year-old woman with chronic MDMA use disorder and childhood trauma, who presented with severe psychosis and catatonic features. While initial diagnostic possibilities included drug-induced psychosis and mood disorders, the patient's history and presentation supported a diagnosis of bipolar I disorder with psychotic features, which was exacerbated by MDMA use. Conventional antipsychotics failed to improve psychotic symptoms and led to worsening of catatonia, requiring electroconvulsive therapy (ECT) for improvement. Socioeconomic barriers hindered follow-up care, leading to an Emergency Department (ED) admission shortly after discharge. This case highlights the intricate interplay between substance use, psychiatric illness, and trauma, and showcases ECT's efficacy in severe psychosis. It emphasizes the necessity for comprehensive mental health services, especially for vulnerable populations, and calls for further research into MDMA's psychiatric effects and optimal treatment approaches for individuals with co-occurring substance use and psychiatric disorders.
PubMed: 38832158
DOI: 10.7759/cureus.59641 -
Translational Psychiatry Jun 2024There is a lack of knowledge regarding the relationship between proneness to dimensional psychopathological syndromes and the underlying pathogenesis across major...
There is a lack of knowledge regarding the relationship between proneness to dimensional psychopathological syndromes and the underlying pathogenesis across major psychiatric disorders, i.e., Major Depressive Disorder (MDD), Bipolar Disorder (BD), Schizoaffective Disorder (SZA), and Schizophrenia (SZ). Lifetime psychopathology was assessed using the OPerational CRITeria (OPCRIT) system in 1,038 patients meeting DSM-IV-TR criteria for MDD, BD, SZ, or SZA. The cohort was split into two samples for exploratory and confirmatory factor analyses. All patients were scanned with 3-T MRI, and data was analyzed with the CAT-12 toolbox in SPM12. Psychopathological factor scores were correlated with gray matter volume (GMV) and cortical thickness (CT). Finally, factor scores were used for exploratory genetic analyses including genome-wide association studies (GWAS) and polygenic risk score (PRS) association analyses. Three factors (paranoid-hallucinatory syndrome, PHS; mania, MA; depression, DEP) were identified and cross-validated. PHS was negatively correlated with four GMV clusters comprising parts of the hippocampus, amygdala, angular, middle occipital, and middle frontal gyri. PHS was also negatively associated with the bilateral superior temporal, left parietal operculum, and right angular gyrus CT. No significant brain correlates were observed for the two other psychopathological factors. We identified genome-wide significant associations for MA and DEP. PRS for MDD and SZ showed a positive effect on PHS, while PRS for BD showed a positive effect on all three factors. This study investigated the relationship of lifetime psychopathological factors and brain morphometric and genetic markers. Results highlight the need for dimensional approaches, overcoming the limitations of the current psychiatric nosology.
Topics: Humans; Male; Female; Adult; Magnetic Resonance Imaging; Bipolar Disorder; Depressive Disorder, Major; Schizophrenia; Psychotic Disorders; Gray Matter; Middle Aged; Genome-Wide Association Study; Factor Analysis, Statistical; Brain; Psychopathology; Multifactorial Inheritance; Cerebral Cortex
PubMed: 38830892
DOI: 10.1038/s41398-024-02936-6