BACKGROUND Electroconvulsive therapy (ECT) is used to treat major depressive disorder (MDD). Relapse is often observed even after successful ECT, followed by adequate pharmaceutical treatment for MDD. AIM To investigate the diagnostic factors and treatment strategies associated with depression relapse. METHODS We analyzed the relationships between relapse, the diagnostic change from MDD to bipolar disorder (BP), and treatment after the initial ECT. We performed a 3-year retrospective study of the prognoses of 85 patients of the Shiga University of Medical Science Hospital. The relative risk of relapse of depressive symptoms was calculated based on the diagnostic change from MDD to BP. A receiver operating characteristic (ROC) curve was generated to evaluate the predictive accuracy of diagnostic changes from MDD to BP based on the duration between the first course of ECT and the relapse of depressive symptoms. RESULTS Eighty-five patients initially diagnosed with MDD and successfully treated with ECT were enrolled in the study. Compared with the MDD participants, more BP patients experienced relapses and required continuation and/or maintenance ECT to maintain remission (65.6% vs 15.1%, P < 0.001; relative risk = 4.35, 95%CI: 2.19-8.63, P < 0.001). Twenty-nine patients experienced relapses during the three-year follow-up. In 21 (72.4%, 21/29) patients with relapse, the diagnosis was changed from MDD to BP. The duration from the first course of ECT to relapse was shorter for the BP patients than for the MDD patients (9.63 ± 10.4 mo vs 3.38 ± 3.77 mo, P = 0.022); for most patients, the interval was less than one month. The relative risk of depressive symptoms based on diagnostic changes was 4.35 (95% confidence interval: 2.19–8.63, P < 0.001), and the area under the ROC curve for detecting diagnostic changes based on relapse duration was 0.756 (95%CI: 0.562-0.895, P = 0.007). CONCLUSION It may be beneficial to suspect BP and change the treatment strategy from MDD to BP for patients experiencing an early relapse.
Sjögren’s syndrome (SS) is a chronic autoimmune disorder, often associated with some neuropsychiatric symptoms as well as systemic lupus erythematosus. Although catatonia is frequently reported in patients with systemic lupus erythematosus, it has been rarely reported in patients with SS. Herein, we present a case of SS with catatonia effectively and safely treated with modified electroconvulsive therapy (ECT). A 58-year-old woman showed prolonged catatonia and depressive mood along with pathologically dried eye and mouth. Based on physical findings and blood tests, she was diagnosed with SS. Because of the presence of pressure sores, we were unable to perform lumbar puncture for the diagnosis of abacterial encephalitis. Alternatively, single-photon emission computed tomography of her brain revealed multifocal hypoperfused areas in the parietotemporal region. Consequently, we performed ECT for the treatment of catatonia comorbid with SS. Following 20 sessions of ECT, the catatonia was improved without obvious adverse effects. One week after the last ECT, elevated levels of interleukin-6 were identified in the cerebral fluid. After receiving steroid pulse therapy, she has not experienced catatonia for more than 5 years. SS can cause catatonia, and ECT is a safe and effective option for the treatment of catatonia with SS.
IntroductionChildren in a prodromal state manifesting as truancy or social isolation (hikikomori) often complain of problems that are physical in nature and are subject to significant changes. We developed the Child Psychosis-Risk Screening System (CPSS) that incorporates childhood psycho-behavioral characteristics revealed through a retrospective survey of schizophrenia patients into its algorithm.ObjectivesOur research aimed to test the risk identification of pediatric and psychiatric clinic outpatients using the CPSS.MethodsWe conducted an epidemiological study involving 204 outpatients between the ages of 6 and 14 years who had been examined at a pediatric or psychiatric clinic using the CBCL and clinical data from medical charts. Logistic regression analysis and T-tests were performed using each clinical data variable to clarify the risk of the CPSS calculated from the CBCL data and contributing factors.ResultsThe results of the logistic regression analysis demonstrated that the diagnostic category (physical illness or DSM-5 diagnosis) and chief complaint did not contribute to differentiate between the high-risk and low-risk groups. Meanwhile, the environmental factors of “abuse” and “social isolation” did contribute to the discrimination of the two groups.ConclusionsThe fact that the diagnostic category during childhood does not contribute to the discrimination of the high- risk group warrants attention. It is possible that the high-risk group only had a latent endophenotype that had not yet manifested during this period. The factors suggested to have an association with the high-risk group may be reflecting activators and the dynamic state of the critical period for psychosis.DisclosureNo significant relationships.
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