Objectives: Magnetic seizure therapy (MST) is a novel convulsive brain stimulation method in clinical testing, which is used as an alternative for electroconvulsive therapy in patients with treatment-resistant depression (TRD). Preliminary studies have suggested that MST leads to fewer cognitive adverse effects than electroconvulsive therapy but has similar efficacy. However, the clinical predictors of response to MST have not been evaluated yet. This study aimed to investigate whether these predictors can be identified in patients with TRD.
Methods: Thirty-eight patients with TRD were included. As clinical predictors for treatment response, we used the diagnosis, sex, age, family history, and severity of depression, as well as the melancholic, psychotic, anxiety, and atypical depression symptoms. A response was defined as an improvement higher than 50% on the 28-item Hamilton Rating Scale for Depression. The binary logistic regression, stepwise linear regression, and effect sizes were calculated.
Results: We found that 68.4% of the patients responded to MST. The responders had significantly fewer previous depressive episodes, less severe depression, and fewer melancholic (anhedonia) and anxiety symptoms than the nonresponders. In addition, responders were more likely to have a positive family history of depression than nonresponders. In particular, the number of previous episodes and a family history of depression were significant predictors of the response to MST.
Conclusions: We demonstrate that the chronicity, severity, and family history of depression, as well as the presence of melancholic and anxiety symptoms, can serve as clinical predictors of the response to MST. Further research with a larger sample size will be required to verify these preliminary findings.
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http://dx.doi.org/10.1097/YCT.0000000000000495 | DOI Listing |
Elife
December 2024
Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Chronic back pain (CBP) is a global health concern with significant societal and economic burden. While various predictors of back pain chronicity have been proposed, including demographic and psychosocial factors, neuroimaging studies have pointed to brain characteristics as predictors of CBP. However, large-scale, multisite validation of these predictors is currently lacking.
View Article and Find Full Text PDFEndocrinol Diabetes Metab
January 2025
Universidad Autónoma de Madrid, Department of Endocrinology and Nutrition, Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria de La Princesa, Madrid, Spain.
Purpose: To investigate the impact of clinical and socio-economic factors on glycaemic control and construct statistical models to predict optimal glycaemic control (OGC) after implementing intermittently scanned continuous glucose monitoring (isCGM) systems.
Methods: This retrospective study included 1072 type 1 diabetes patients (49.0% female) from three centres using isCGM systems.
Cancer Biol Ther
December 2025
Department of Gastrointestinal Surgery, Harbin Medical University Cancer Hospital, Harbin, China.
Purpose: Neoadjuvant chemotherapy (NAC) has proven valuable in treating locally advanced colon cancer (LACC) and is included as a treatment option for patients with clinical T4b colon cancer by the National Comprehensive Cancer Network. However, the long-term survival benefit of NAC in LACC remains debated, due to a lack of conclusive clinical trial results identifying the patients who would benefit most from NAC. This study aimed to assess the efficacy of NAC in patients with LACC based on histological subtype.
View Article and Find Full Text PDFFront Neurol
December 2024
Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China.
Background: Poststroke irritability (PSI) is common among stroke survivors and can lead to a poor quality of life, difficulties in social interactions, criticism from caregivers, and caregiver stress. The planned study will evaluate the clinical, neuropsychological, and magnetic resonance imaging (MRI) correlates of PSI in a cohort of stroke survivors. In addition, the study will examine the 15-month progression of PSI.
View Article and Find Full Text PDFFront Neurol
December 2024
The Affiliated Huai'an Hospital of Xuzhou Medical University, Huai'an, Jiangsu, China.
Objective: Although there is a strong correlation between stroke and sarcopenia, there has been a lack of research into the potential risks associated with post-stroke sarcopenia. Predictors of sarcopenia are yet to be identified. We aimed at developing a nomogram able to predict sarcopenia in patients with stroke.
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