Humans ; Bipolar Disorder ; Schizophrenia ; Depression ; Electroencephalography

Background: Stroke is currently the second leading cause of death worldwide and is one of the leading causes of long-term disability . Mood disorders are prevalent after a stroke and may hinder physical, functional, and cognitive recovery; hence, it is undeniably necessary to recognize them early. Stroke mortality is generally higher in Asia as most of the countries therein are in economic transition . Socioeconomic status is a major contributor to stroke burden as greater odds of disability are found in patients with lower educational status and income. Objectives: The primary objective of this study is to identify the psychiatric morbidities commonly seen after a stroke in Asia. Search Methods: The following databases were utilized for extensive literature search: PubMed (January 2002 to June 2022), Cochrane Library (January 2002 to June 2022), and EBSCO (January 2002 to June 2022). The search made use of keyword combinations, Boolean operators "AND" and "OR," truncations, and field tags last October 2022. Selection Criteria: Articles on the prevalence and cross-sectional studies were included if they involved stroke survivors who developed post-stroke psychiatric morbidities in Asia. Additional inclusion criteria consisted of studies that have to be written in the English language and having free full texts available. Data Collection and Analysis: This systematic review made use of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) standards and guidelines. The JBI Critical Appraisal Checklist for Studies Reporting Prevalence Data was used in the assessment for the quality of articles to be included in this systematic review. Results and Conclusion Affective disorders and generalized anxiety disorder were the common psychiatric morbidities identified post-stroke. The Hospital Anxiety and Depression Scale (HADS) may be used to diagnose post-stroke depression and anxiety. Males in their middle to late adulthood with higher National Institutes of Health Stroke Scale (NIHSS) scores and poor stroke outcomes (higher scores in the Modified Rankin Scale) were associated with a higher likelihood of developing the aforementioned psychiatric morbidities.
Depression ; Anxiety ; Mania ; Psychotic Disorders ; Asia

Bipolar disorder is a major mental illness that is difficult to treat and has a high degree of recurrence. This article reports general anesthesia for oral surgery in a patient with bipolar disorder complicated with hypothyroidism. It also discusses the rational application of antipsychotic drugs and anesthetics with reference to the literature to improve the understanding of the disease and help patients with mental disorders complete the surgical treatment quietly and smoothly.
Humans ; Bipolar Disorder/drug therapy* ; Antipsychotic Agents/therapeutic use* ; Hypothyroidism/drug therapy* ; Oral Surgical Procedures ; Anesthesia

Micro non-coding RNA (microRNA, miRNA) is a small non-coding RNA involved in gene expression regulation that plays an important role in the onset and development of mental illness. Evidence suggests that several miRNAs are dysregulated in patients with mental illnesses. Because of its stability and quantitative detection in peripheral blood and cerebral fluid, miRNA is a particularly attractive biomarker. The objective of this research is to investigate the relationship between mental illness and miRNAs, as well as the potential processes through which miRNAs contribute to disease etiology. Schizophrenia, bipolar disorder, and depression are three major mental disorders with high disability and mortality. The study explored the particular dysregulated miRNAs for each condition as well as common dysregulated miRNAs across diseases. In this study, which analyzes the findings from relevant studies from 2016 to 2020, the authors discuss the functions of numerous severely dysfunctional miRNAs and their application potential in the field of psychiatry research.
Biomarkers ; Bipolar Disorder/genetics* ; Depression/genetics* ; Humans ; MicroRNAs ; Schizophrenia/genetics*

This is a case of a 22-year-old female who presented with labile mood, impulsivity and persistent suicidality. Despite numerous pharmacologic and psychotherapeutic regimens, she only had minimal improvement. Subsequently, she revealed traumatic events in younger years.She has been experiencing recurrent intrusive thoughts, low self-worth, guilt and avoidance behavior. Pharmacotherapeutic management was revised as well as her psychotherapy, which resulted in a positive outcome. However, recurrence occurred after she encountered negative life events. Electroconvulsive therapy and revision of pharmacologic treatment eventually led to significant improvement. This case highlights the importance of underlying psychological trauma that caused persistent symptoms. The intensity of impact and the chronic recurrent negative effect of the trauma on the patient influenced the treatment outcome. It is important to optimize therapeutic management with the use of pharmacologic agents, psychotherapy and somatic therapies.
Stress Disorders, Post-Traumatic ; Bipolar Disorder

Early distinction of bipolar disorder (BD) from major depressive disorder (MDD) is difficult since no tools are available to estimate the risk of BD. In this study, we aimed to develop and validate a model of oxidative stress injury for predicting BD. Data were collected from 1252 BD and 1359 MDD patients, including 64 MDD patients identified as converting to BD from 2009 through 2018. 30 variables from a randomly-selected subsample of 1827 (70%) patients were used to develop the model, including age, sex, oxidative stress markers (uric acid, bilirubin, albumin, and prealbumin), sex hormones, cytokines, thyroid and liver function, and glycolipid metabolism. Univariate analyses and the Least Absolute Shrinkage and Selection Operator were applied for data dimension reduction and variable selection. Multivariable logistic regression was used to construct a model for predicting bipolar disorder by oxidative stress biomarkers (BIOS) on a nomogram. Internal validation was assessed in the remaining 784 patients (30%), and independent external validation was done with data from 3797 matched patients from five other hospitals in China. 10 predictors, mainly oxidative stress markers, were shown on the nomogram. The BIOS model showed good discrimination in the training sample, with an AUC of 75.1% (95% CI: 72.9%-77.3%), sensitivity of 0.66, and specificity of 0.73. The discrimination was good both in internal validation (AUC 72.1%, 68.6%-75.6%) and external validation (AUC 65.7%, 63.9%-67.5%). In this study, we developed a nomogram centered on oxidative stress injury, which could help in the individualized prediction of BD. For better real-world practice, a set of measurements, especially on oxidative stress markers, should be emphasized using big data in psychiatry.
Biomarkers/metabolism* ; Bipolar Disorder/metabolism* ; Depressive Disorder, Major/diagnosis* ; Early Diagnosis ; Humans ; Oxidative Stress

Objective: To explore the basic psychological and personality characteristics of patients with laryngopharyngeal reflux disease (LPRD). Methods: The Minnesota Multiphasic Personality Inventory (MMPI) was used to investigate the psychological personality characteristics of 187 patients with LPRD (Study Group) and 75 healthy subjects (control group) who were treated in the otolaryngology clinic of Wuhan Central Hospital from January 2018 to December 2019. There were 102 males in the study group, aged from 20 to 71 (45.42±10.67) years and 85 females, aged from 18 to 65 (40.97±11.53) years; There were 41 males in the control group, aged from 18 to 67 (41.08±12.03) years and 34 females, aged from 20 to 65 (42.55±12.78) years. SPSS 24.0 software was used for statistical analysis. Results: The T scores of HS hypochondriac scale, D depression scale, Hy hysteria scale, Ma hypomania scale and MAS explicit anxiety scale in LPRD patients were significantly higher than those in healthy controls (t=6.304, 4.293, 5.750, 2.694, 5.178, all P<0.05). Correlation analysis showed that RSI score was positively correlated with T score of HS hypochondriac scale, Hy hysteria scale, Ma hypomania scale and MAS explicit Anxiety Scale (r=0.621, 0.402, 0.393, 0.581, all P<0.05); RFS score was positively correlated with T score of HS hypochondriac scale, Hy hysteria scale and MAS explicit Anxiety Scale (r=0.315, 0.321, 0.375, P<0.05). Conclusions: Compared with healthy people, LPRD patients have special personality psychological characteristics, which are mainly manifested as excessive attention to themselves, exaggerated illness, depression, sensitivity, somatization of psychological problems, irritability and mania. The severity of both subjective symptoms (RSI) and objective signs (RFS) of LPRD patients are related to their psychological personality characteristics.
Male ; Female ; Humans ; Laryngopharyngeal Reflux/diagnosis* ; Mania ; Hypopharynx ; MMPI ; Personality

Evidence suggests that acute severe coronavirus disease 2019 (COVID-19) may be associated with neuropsychiatric symptoms. This is a case report of a patient who had recently been infected with COVID-19 and had no history of psychiatric disorders presenting a few days after inpatient discharge from COVID-19 treatment with acute onset of psychosis and manic symptoms. This case illustrates the psychiatric presentation, possible causes, and management of post-COVID-19 psychosis.
COVID-19 ; Psychotic Disorders ; Mania

OBJECTIVE: To study the changes in metabolic markers and clinical outcome after treatment with different drug regimens in children with bipolar affective disorder. METHODS: A retrospective analysis was performed on the medical data of 220 children with bipolar affective disorder who attended the hospital from January 2017 to January 2020. According to the treatment method, 112 children treated with atypical antipsychotic drugs alone were enrolled as the control group, and 108 children treated with atypical antipsychotic drugs combined with mood stabilizer were enrolled as the study group. The two groups were compared in terms of baseline data, changes in related metabolic markers[fasting insulin (FIN), glycosylated hemoglobin (HbAlc), total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C)] after treatment, incidence rate of metabolic syndrome, and clinical outcome. RESULTS: There were no significant differences in the baseline data including age, sex, and course of disease between the two groups ( CONCLUSIONS Atypical antipsychotic drugs combined with mood stabilizer in the treatment of bipolar disorder in children have little effect on the level of metabolic markers, and the curative effect is significant.
Antipsychotic Agents/therapeutic use* ; Biomarkers/blood* ; Bipolar Disorder/drug therapy* ; Child ; Cholesterol, HDL ; Humans ; Mood Disorders ; Retrospective Studies ; Triglycerides

OBJECTIVE: To investigate the changes of functional connectivity (FC) in the suprachiasmatic nucleus (SCN) of patients with bipolar disorder and perform a cluster analysis of patients with bipolar disorder based on FC. METHODS: The study recruited 138 patients with bipolar disorder (BD) diagnosed according to the 4th edition of Diagnostic and Statistical Manual of Mental Disorders IV (DSM-IV) and 150 healthy control subjects. All the participants underwent resting-state functional magnetic resonance brain scans. DPARSF software was used to generate the FC diagram of the SCN. Based on the FC data, principal components analysis (PCA) and k-means in scikit-learn 0.20.1 were used for cluster analysis of the patients with bipolar disorder. RESULTS: Compared with the healthy controls, the patients showed enhanced functional connections between the SCN and the paraventricular nucleus and between the SCN and the dorsomedial hypothalamus nucleus. Based on these FC values, the optimal cluster of unsupervised k-means machine learning for bipolar disorder was 2, and the Silhouette coefficient was 0.49. CONCLUSIONS Patients with bipolar disorder have changes in the FC of the SCN, and the FC of the rhythm pathway can divide bipolar disorder into two subtypes, suggesting that biological rhythm is one of the potential biomarkers of bipolar disorder.
Bipolar Disorder ; Brain ; Circadian Rhythm ; Humans ; Magnetic Resonance Imaging ; Neuroimaging