Comparison of the Clinical and Treatment Characteristics of Patients Undergoing Electroconvulsive Therapy for Catatonia Indication in the Context of Gender.
Zozan ParsanogluOzlem Devrim BalabanŞakir GicaOzge Canbek AtayOzan AltinPublished in: Clinical EEG and neuroscience (2021)
The aim of this study was to compare in the context of gender both clinical diagnosis and disease-related differences and electroconvulsive therapy (ECT)-related differences in data and efficacy in hospitalized patients with catatonic signs and symptoms. Data from 106 patients who received ECT with catatonia indication were retrospectively analyzed. Clinical data of male (n = 58) and female (n = 48) patients were compared. Hospitalization documents and outpatient files, sociodemographic and clinical data form, Clinical Global Improvement scores used by the ECT unit in the follow-up of patients who received ECT were used in the study. It was seen that the mean age of women at the onset of ECT was higher than in men and the presence of prolonged seizures was more common than men. In men, it was found out that the average number of sessions with the onset of clinical response to treatment was higher than the average of women. The distribution of diagnoses by gender showed that the presence of schizophrenia diagnosis in men and of bipolar disorder in women were significantly more frequent compared to the opposite sex. It was found out that there were no significant differences between genders in terms of response rate to ECT. Our study is important for being the first study in the literature investigating the gender differences in ECT used for catatonia. However, gender is not a distinctive factor in the effectiveness of treatment, there are some important differences between male and female patients showing signs and symptoms of catatonia and undergoing ECT.
Keyphrases
- bipolar disorder
- end stage renal disease
- patients undergoing
- chronic kidney disease
- ejection fraction
- big data
- newly diagnosed
- polycystic ovary syndrome
- randomized controlled trial
- type diabetes
- pregnant women
- middle aged
- depressive symptoms
- adipose tissue
- metabolic syndrome
- machine learning
- patient reported
- smoking cessation
- combination therapy