New-onset addictions in patients with alcohol dependence: A cross-sectional study.

BACKGROUND: Individuals who are addicted to one addiction are at an increased risk for developing another new addiction. New-onset addictions among patients with alcohol dependence needs to be considered for more effective treatment of alcohol dependence. METHODS: In this cross-sectional study, Japanese outpatients with alcohol dependence were assessed using a comprehensive, originally designed questionnaire to determine whether they were addicted to substances or behaviors other than alcohol. The prevalence rates of new-onset addictions were compared between alcohol-dependent patients who had abstained from alcohol for a year or more and those who had not. Multiple regression analysis was performed to examine the association between the number of new-onset addictions and the demographic and clinical characteristics. RESULTS: One hundred and nine outpatients with alcohol dependence (54.6±11.0 years; 97 men) participated in the study. The prevalence of new-onset addictions was 41.3%. No significant differences were found in the prevalence of new-onset addictions between the patients who had abstained for a year or more and those who had not. Multiple regression analysis revealed that the number of new-onset addictions was positively associated with the presence of psychiatric comorbidity (ß = 0.24; p = 0.02) and use of benzodiazepines (ß = 0.20; p = 0.04) with a R2 of 0.153. CONCLUSION: Alcohol dependent patients with characteristics such as psychiatric comorbidity and use of benzodiazepines should be given more attention to the development of new-onset addictive behaviors. On the other hand, those behaviors could be acceptable for harm-reduction unless excessive and loss of control.

Metabolites for monitoring symptoms and predicting remission in patients with depression who received electroconvulsive therapy: a pilot study.

The lack of biomarkers to monitor and predict the efficacy of electroconvulsive therapy (ECT) has hindered its optimal use. To establish metabolomic markers for monitoring and predicting the treatment efficacy of ECT, we comprehensively evaluated metabolite levels in patients with major depressive disorder (MDD) by performing targeted and non-targeted metabolomic analyses using plasma samples before and after the first, third, and final ECT sessions, and 3-7 days after the final session. We compared the plasma metabolomes of age- and sex-matched healthy controls (HCs). Thirteen hospitalized patients with MDD and their corresponding HCs were included in this study. We observed that patients with MDD exhibited lower levels of amino acids, including gamma-aminobutyric acid (GABA), and metabolites involved in tryptophan metabolism and the kynurenine pathway, and higher levels of cortisol at baseline. Furthermore, we investigated the relationship between metabolite levels and depression severity across seven measurement timepoints along with one correlation analysis and found that amino acids, including GABA and tryptophan catabolites, were significantly correlated with the severity of depression. Despite the exploratory nature of this study due to the limited sample size necessitating further validation, our findings suggest that the blood metabolic profile has potential as a biomarker for ECT.

Clinical characteristics and potential association to Parkinson's disease and dementia with Lewy bodies in patients with major depressive disorder who received maintenance electroconvulsive therapy: a retrospective chart review study.

BACKGROUND: Maintaining remission after electroconvulsive therapy (ECT) is clinically relevant in patients with depression, and maintenance ECT has been introduced in patients who fail to maintain remission after ECT. However, the clinical characteristics and biological background of patients who receive maintenance ECT are poorly understood. Thus, this study aimed to examine the clinical background of patients who underwent maintenance ECT. METHODS: Patients with major depressive disorder who underwent ECT followed by maintenance ECT (mECT group) and those who did not (acute ECT [aECT] group) were included. Clinical characteristics, including the results of neuroimaging examinations for Parkinson's disease (PD) and dementia with Levy body (DLB) such as myocardial 123I-metaiodobenzylguanidine (MIBG) scintigraphy and dopamine transporter imaging single-photon emission computerized tomography (DaT-SPECT), were compared between the groups. RESULTS: In total, 13 and 146 patients were included in the mECT and aECT groups, respectively. Compared to the aECT group, the mECT group showed a significantly higher prevalence of melancholic features (92.3% vs. 27.4%, p < 0.001) and catatonic features (46.2% vs. 9.6%, p = 0.002). Overall, 8 of the 13 patients in the mECT group and 22 of the 146 patients in the aECT group underwent neuroimaging examinations for PD/DLB. The rate of patients examined is significantly higher in the mECT group than in the aECT group (61.5% vs. 11.2%, p < 0.001). Among the groups examined, 7/8 patients in the mECT group and 16/22 patients in the aECT group showed relevant neuroimaging findings for PD/DLB; the positive rate was not significantly different between the two groups (87.5% vs. 72.7%, p = 0.638). CONCLUSIONS: Patients who receive acute and maintenance ECT may have underlying neurodegenerative diseases, including PD/DLB. Investigating the neurobiology of patients who receive maintenance ECT is important for developing appropriate treatments for depression.

Individual Prediction of Remission Based on Clinical Features Following Electroconvulsive Therapy: A Machine Learning Approach.

Objective: Previous prediction models for electroconvulsive therapy (ECT) responses have predominantly been based on neuroimaging data, which has precluded widespread application for severe cases in real-world clinical settings. The aims of this study were (1) to build a clinically useful prediction model for ECT remission based solely on clinical information and (2) to identify influential features in the prediction model.Methods: We conducted a retrospective chart review to collect data (registered between April 2012 and March 2019) from individuals with depression (unipolar major depressive disorder or bipolar disorder) diagnosed via DSM-IV-TR criteria who received ECT at Keio University Hospital. Clinical characteristics were used as candidate features. A light gradient boosting machine was used for prediction, and 5-fold cross-validation was performed to validate our prediction model.Results: In total, 177 patients with depression underwent ECT during the study period. The remission rate was 63%. Our model predicted individual patient outcomes with 71% accuracy (sensitivity, 86%; specificity, 46%). A shorter duration of the current episodes, lower baseline severity, higher dose of antidepressant medications before ECT, and lower body mass index were identified as important features for predicting remission following ECT.Conclusions: We developed a prediction model for ECT remission based solely on clinical information. Our prediction model demonstrated accuracy comparable to that in previous reports. Our model suggests that introducing ECT earlier in the treatment course may contribute to improvements in clinical outcomes.

Impact of Sevoflurane and Thiopental Used Over the Course of Electroconvulsive Therapy: Propensity Score Matching Analysis.

Objective: Although anesthetics play an important role in electroconvulsive therapy (ECT), the clinical efficacy and seizure adequacy of sevoflurane in the course of ECT remain unclear. The purpose of this study was to examine the clinical efficacy and seizure adequacy of sevoflurane, compared with those of thiopental, in the course of ECT in patients with mood disorders. Methods: We conducted a retrospective chart review. Patients who underwent a course of ECT and received sevoflurane (n = 26) or thiopental (n = 26) were included. Factors associated with ECT and treatment outcomes were compared between the two groups using propensity score (PS) matching. Between-group differences were examined using an independent t-test for continuous variables and a χ2-test for categorical variables. Results: Patients who received sevoflurane needed more stimulations (sevoflurane: 13.2 ± 4 times, thiopental: 10.0 ± 2.5 times, df = 51, p = 0.001) and sessions (sevoflurane: 10.0 ± 2.1 times, thiopental: 8.4 ± 2.1 times, df = 51, p = 0.01) and had more inadequate seizures (sevoflurane: 5 ± 3.9 times, thiopental: 2.7 ± 2.7 times, df = 51, p = 0.015). Remission and response rates were similar in both groups. Conclusion: The present findings indicate that sevoflurane should be used with caution in ECT and only when the clinical rationale is clear.

Drug Combinations for Mood Disorders and Physical Comorbidities That Need Attention: A Cross-Sectional National Database Survey.

INTRODUCTION: This study investigated combined prescriptions of drugs for mood disorders and physical comorbidities that need special attention in the light of frequent physical comorbidities in patients with mood disorders. METHODS: We used the claims sampling data of 581,990 outpatients in January 2015 from the National Database of Health Insurance Claims and Specific Health Checkups of Japan. Fisher's exact test was performed to compare the prescription rates of non-steroidal anti-inflammatory drugs (NSAIDs), loop/thiazide diuretics, angiotensin-converting enzyme inhibitors, and/or angiotensin II receptor blockers between lithium users and age- and sex-matched non-lithium users; NSAIDs, antiplatelet drugs, and/or anticoagulants between selective serotonin reuptake inhibitor (SSRI)/serotonin-noradrenaline reuptake inhibitor (SNRI) users and non-users; warfarin between mirtazapine users and non-users; and the proportions of patients in the two groups with a diagnosis of somatic conditions for which these medications were indicated and actually received them. A Bonferroni corrected p-value of<0.05/3 was considered statistically significant. RESULTS: Prescriptions of the above-mentioned medications were less frequent in lithium and mirtazapine users and comparable in SSRI/SNRI users, compared to non-users (18.3 vs. 31.9%, p=7.6×10-10; 0.78 vs. 1.65%, p=0.01; 23.1 vs. 24.1%, p=0.044). In a subgroup of patients with somatic diseases for which these medications were indicated, the prescription rates were comparable in lithium and mirtazapine users and higher in SSRI/SNRI users compared to non-users (28.0 vs. 29.4%, p=0.73; 4.7 vs. 7.4%, p=0.28; 35.6 vs. 33.4%, p=0.0026). DISCUSSION: Pharmacotherapy with drugs for mood disorders and physical comorbidities that require attention was commonly observed in clinical practice.

Electroconvulsive Therapy for Patients With Depression Who Lack Capacity for Consent: Doing Good and Doing No Harm.

OBJECTIVE: Electroconvulsive therapy (ECT) is provided in real-world clinical settings for patients lacking capacity for consent. The aim of this study was to investigate the clinical characteristics and clinical effectiveness of ECT in this population. METHODS: A retrospective chart review was conducted to collect data from patients who received ECT to treat their depressive episodes between April 2012 and March 2019. Differences in clinical characteristics and short-/long-term clinical outcomes between patients who received ECT with their relatives' consent and patients who received ECT by their own consent were examined. The short-/long-term clinical outcomes were determined by clinical global impression scores and readmission rate, respectively. RESULTS: Of 168 patients with depressive episodes, 34 (20.2%) received ECT with their relatives' consent. Those patients were older, had lower body mass index, and had shorter episode duration. They also exhibited more frequent psychotic, melancholic, and catatonic features. The main indication for ECT in this population was the need for rapid recovery. Patients lacking capacity for consent showed similar remission (61.8%) and response (82.4%) rates to those with capacity for consent. Readmission rate was not significantly different between groups. CONCLUSIONS: There were no significant differences in short-/long-term ECT effectiveness between patients with/without capacity for consent. Electroconvulsive therapy is the only established and effective treatment in clinical settings for the most severe cases, wherein patients are incapable of giving consent but need rapid recovery. A general rejection of this practice due to concerns surrounding consent may be unethical under the ethical principles of medical care.

Cowden syndrome complicated by schizophrenia: A first clinical report.

Patients with Cowden syndrome exhibit mucocutaneous lesions, hamartomatous polyposis of the gastrointestinal tract, and macrocephaly, often complicated by malignant tumors, such as breast, thyroid, and uterine cancers. Autism spectrum and epilepsy have been known as neuropsychiatric symptoms associated with Cowden syndrome; however, to the best of our knowledge, there is no report on cases complicated by schizophrenia. Here, we report a first case of Cowden syndrome complicated by schizophrenia. A 49-year-old Japanese woman started experiencing auditory hallucinations in her teens. She had left breast cancer at the age of 34 years, and right breast cancer at the age of 37 years, all of which were surgically treated. She was also being treated by oral medications for Hashimoto's disease. On consulting her previous doctor for abnormal uterine bleeding that lasted for a year, she was diagnosed with endometrial cancer. However, immediately before surgery, her auditory hallucinations and paranoid delusions became severe, and she was referred to our hospital for detailed examination and treatment. No abnormalities were found on head MRI, and she was diagnosed with schizophrenia on the basis of neuropsychiatric examination findings. After her psychiatric symptoms were controlled by 2 mg of risperidone, she underwent surgery for endometrial cancer. Although there was no apparent family history, physical findings including macrocephaly and papillomatous skin lesions together with her past medical history of multiple malignant tumors suggested Cowden syndrome. Postoperatively, genetic testing revealed a pathogenic variant c.655C > T; p. Gln219* (NM_000314.4) in PTEN, leading to the confirmation of the diagnosis of Cowden syndrome.

Factors Associated With Delirium Following Electroconvulsive Therapy: A Systematic Review.

OBJECTIVES: Delirium following electroconvulsive therapy (ECT) has been a clinical challenge, which, however, has not been investigated through a systematic literature review. The objective of this study was to systematically synthesize available evidence regarding factors associated with post-ECT delirium. METHODS: We conducted a systematic literature search for any type of original investigations that reported risk factors of post-ECT delirium, using PubMed. RESULTS: The literature search identified 43 relevant articles. One study found an association between catatonic feature and increased risk of postictal delirium. Five studies reported that the presence of cerebrovascular disease, Parkinson disease, or dementia was related to higher incidence of post-ECT delirium. Incidence of post-ECT course delirium was increased with bitemporal stimulation (3 studies). One study showed that ultrabrief pulse ECT reduced reorientation time following seizure compared with brief pulse ECT. High stimulus intensity resulted in more prolonged reorientation time after ECT than lower stimulus intensity (2 studies). Longer seizure length was significantly associated with post-ECT delirium in 1 study. Eight studies that examined postictal delirium in association with medications used, including lithium, did not show any consistent finding in their relationships. Four studies showed decreased incidence of postictal delirium in those receiving dexmedetomidine. CONCLUSIONS: Limited evidence suggests that catatonic feature, cerebrovascular disease, Parkinson disease, dementia, bitemporal electrode placement, high stimulus intensity, or longer seizure length are associated with an increased risk of post-ECT delirium. Moreover, dexmedetomidine and ultrabrief pulse ECT seem to have preventive effects of post-ECT delirium.

Concomitant use of alcohol and benzodiazepine hypnotics in psychiatric outpatients: a cross-sectional survey.

Concomitant use of benzodiazepines and alcohol appears prevalent in a clinical setting. The objectives of this study were as follows: (1) to investigate the prevalence of concomitant use of benzodiazepine hypnotics and alcohol in psychiatric outpatients, (2) to examine the clinical characteristics and factors associated with the concomitant use, and (3) to investigate the awareness of the psychiatrists-in-charge about the concomitant use. Outpatients with schizophrenia, depression, and insomnia who were receiving benzodiazepine hypnotics were asked to fill in a sleeping diary for seven consecutive days in which use of hypnotics and alcohol was also recorded. Clinical characteristics were assessed, and logistic analysis was performed to examine factors associated with the concomitant use. In addition, psychiatrists-in-charge were asked as to whether they thought their patients were concomitantly using them. The prevalence rate of the concomitant use was 39.8% (37/93). The CAGE score showed significant positive association with the concomitant use (odds ratio = 2.40, 95% confidence interval = 1.39-4.16, P = 0.002). Only in 32.4% of the concomitant users were suspected by their psychiatrists. The results suggest that concomitantly used benzodiazepine hypnotics and alcohol appears prevalent, and has been frequently overlooked by treating psychiatrists. The CAGE questionnaire may be helpful to screen such potentially hazardous users.

Predictors of readmission after successful electroconvulsive therapy for depression: a chart review study.

OBJECTIVE: The study aimed to identify the predictors for readmission after a successful electroconvulsive therapy (ECT) course. METHODS: Medical charts of patients who received ECT for major depressive episodes were reviewed. Patients' demographic characteristics and treatment parameters, such as ECT charge, seizure duration, the number of ECT sessions and pharmacotherapy, were extracted. We compared differences between those who were readmitted after successful ECT within 6 and 12 months, versus those not readmitted. We also conducted a multivariate logistic regression analysis to identify the predictors for readmission. RESULTS: Out of 51 patients who were discharged after ECT, 27 patients met the inclusion criteria and were included in the analysis. Eight patients were readmitted within 6 months after discharge, and four more patients were readmitted during the next 6-month follow up. Comparing patients who were and were not readmitted, we found no significant differences between groups, including ECT parameters such as the number of ECT sessions, average charge and final charge. No predictors for readmission were found through multivariate analysis. CONCLUSIONS: Although patients who require higher ECT charge and more sessions seem to be prone to readmission, our dataset suggested that none of these types of ECT parameters were risk factors for readmission.

Ten year outcomes of outpatients with schizophrenia on conventional depot antipsychotics: a systematic chart review.

Long-term follow-up data of patients with schizophrenia on depot antipsychotics have been few and the longest follow-up period has been up to 7 years. We carried out a systematic chart review to examine 10-year outcomes for outpatients with schizophrenia who were receiving a conventional depot antipsychotic. Maintenance of outpatient status for 10 years was considered as a favorable outcome. From the initial sample of 1587 outpatients, 90 patients who were receiving a depot antipsychotic were included in this study (mean±SD, age 44.0±13.0 years; men, N=54). Haloperidol decanoate, fluphenazine decanoate, fluphenazine enanthate, and haloperidol decanoate plus fluphenazine enanthate were used in 53 (58.9%), 29 (32.2%), seven (7.8%), and one (1.1%) patients, respectively. These depot antipsychotics accounted for 36.9% of the total antipsychotic dosage on average. Seventeen patients (18.9%) successfully maintained outpatient status for 10 years. The most frequent reason for dropout was 'hospitalization' (N=49, 54.4%), followed by 'referral to another clinic/hospital' (N=9, 10.0%) and 'side effects' (N=7, 7.8%). As only 36.9% of the chlorpromazine equivalents were administered through depot antipsychotics, it is difficult to draw any firm conclusion. Still, the data suggest that even depot antipsychotics may not sufficiently prevent relapse in the treatment of schizophrenia.