An Evaluation of the Effectiveness of Repetitive Transcranial Magnetic Stimulation (rTMS) for the Management of Treatment-Resistant Depression with Somatic Attributes: A Hospital-Based Study in Oman.
Intisar Al-RuhailiSalim Al-HuseiniSaid Al-KaabiSangeetha MahadevanNasser Al-SibaniNaser Al BalushiM Mazharul IslamSachin JoseGilda Kiani MehrSamir Al-AdawiPublished in: Brain sciences (2023)
Depressive illnesses in non-Western societies are often masked by somatic attributes that are sometimes impervious to pharmacological agents. This study explores the effectiveness of repetitive transcranial magnetic stimulation (rTMS) for people experiencing treatment-resistant depression (TRD) accompanied by physical symptoms. Data were obtained from a prospective study conducted among patients with TRD and some somatic manifestations who underwent 20 sessions of rTMS intervention from January to June 2020. The Hamilton Rating Scale for Depression (HAMD) was used for clinical evaluation. Data were analysed using descriptive and inferential techniques (multiple logistic regression) in SPSS. Among the 49 participants (mean age: 42.5 ± 13.3), there was a significant reduction in posttreatment HAMD scores compared to baseline (t = 10.819, p < 0.0001, and 95% CI = 8.574-12.488), indicating a clinical response. Approximately 37% of the patients responded to treatment, with higher response rates among men and those who remained in urban areas, had a history of alcohol use, and were subjected to the standard 10 HZ protocol. After adjusting for all extraneous variables, the rTMS protocol emerged as the only significant predictor of response to the rTMS intervention. To our knowledge, this is the first study to examine the effectiveness of rTMS in the treatment of somatic depression.
Keyphrases
- transcranial magnetic stimulation
- high frequency
- randomized controlled trial
- depressive symptoms
- sleep quality
- systematic review
- copy number
- healthcare
- end stage renal disease
- clinical evaluation
- electronic health record
- physical activity
- newly diagnosed
- ejection fraction
- chronic kidney disease
- emergency department
- gene expression
- mental health
- big data
- peritoneal dialysis
- prognostic factors
- replacement therapy
- combination therapy
- artificial intelligence
- adverse drug