Kazuki Nakajima, Akihiro Takamiya, Takahito Uchida, Shun Kudo, Hana Nishida, Fusaka Minami, Yasuharu Yamamoto, Bun Yamagata, Masaru Mimura, Jinichi Hirano
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引用次数: 1
Abstract
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.
期刊介绍:
For over 75 years, The Journal of Clinical Psychiatry has been a leading source of peer-reviewed articles offering the latest information on mental health topics to psychiatrists and other medical professionals.The Journal of Clinical Psychiatry is the leading psychiatric resource for clinical information and covers disorders including depression, bipolar disorder, schizophrenia, anxiety, addiction, posttraumatic stress disorder, and attention-deficit/hyperactivity disorder while exploring the newest advances in diagnosis and treatment.