Literature DB >> 30472527

Influence of age on ECT efficacy in depression and the mediating role of psychomotor retardation and psychotic features.

Willemijn T C J Heijnen1, Astrid M Kamperman2, Lindsay D Tjokrodipo2, Witte J G Hoogendijk2, Walter W van den Broek2, Tom K Birkenhager2.   

Abstract

OBJECTIVE: To investigate whether older age predicts a higher efficacy of electroconvulsive therapy (ECT) in severely depressed patients. Also, to analyze whether psychomotor disturbance and/or psychotic features might explain the potential higher efficacy of ECT in older age.
METHOD: A total of 96 patients with major depressive disorder treated with bilateral ECT were evaluated. The 17-item HAM-D and the MADRS were used to evaluate the efficacy of ECT and time to remission, respectively. Psychomotor disturbance was defined according the HAM-D.
RESULTS: Middle-aged (MA; 50-70 years) and older-aged (OA; ≥70 years) patients had a non-significant larger symptom reduction compared with young-aged (YA; <50 years) patients. Medium effect size was found in favor of MA (d = 0.44) and small effect size in favor of OA (d = 0.30), when compared to YA. Patients with psychotic features and patients with psychomotor retardation had a significantly larger symptom reduction (p < 0.001 and p = 0.005, respectively; d = 0.88 and d = 0.66, respectively). The association between age and ECT efficacy is mediated by psychomotor retardation (p = 0.049) and in lesser extent by psychotic features (p = 0.071).
CONCLUSION: The results show that psychomotor retardation and psychotic features are strong predictors of ECT efficacy and explain the association between age and ECT efficacy. Instead of focusing on the age of a patient, clinicians should focus on the presence of psychomotor disturbances and psychotic features of depression, when considering ECT treatment.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Depression; ECT; Efficacy; Old age; Psychomotor dysfunction; Psychotic features

Mesh:

Year:  2018        PMID: 30472527     DOI: 10.1016/j.jpsychires.2018.11.014

Source DB:  PubMed          Journal:  J Psychiatr Res        ISSN: 0022-3956            Impact factor:   4.791


  8 in total

1.  The Combination of Serum BDNF, Cortisol and IFN-Gamma Can Assist the Diagnosis of Major Depressive Disorder.

Authors:  Suzhen Chen; Yuqun Zhang; Yonggui Yuan
Journal:  Neuropsychiatr Dis Treat       Date:  2021-08-26       Impact factor: 2.570

Review 2.  The Use of ECT in the Elderly-Looking Beyond Depression.

Authors:  Anthony N Chatham; Hadia Shafi; Adriana P Hermida
Journal:  Curr Psychiatry Rep       Date:  2022-07-13       Impact factor: 8.081

3.  Distinct predictors of short- versus long-term depression outcomes following electroconvulsive therapy.

Authors:  Brian J Mickey; Yarden Ginsburg; Erica Jensen; Daniel F Maixner
Journal:  J Psychiatr Res       Date:  2021-12-14       Impact factor: 5.250

4.  Improvement after two sessions of electroconvulsive therapy predicts final remission in in-patients with major depression.

Authors:  T K Birkenhager; J Roos; A M Kamperman
Journal:  Acta Psychiatr Scand       Date:  2019-06-07       Impact factor: 6.392

5.  A longitudinal study of the association between basal ganglia volumes and psychomotor symptoms in subjects with late life depression undergoing ECT.

Authors:  M G A Van Cauwenberge; F Bouckaert; K Vansteelandt; C Adamson; F L De Winter; P Sienaert; J Van den Stock; A Dols; D Rhebergen; M L Stek; L Emsell; M Vandenbulcke
Journal:  Transl Psychiatry       Date:  2021-04-01       Impact factor: 6.222

6.  Using EEG to Predict Clinical Response to Electroconvulsive Therapy in Patients With Major Depression: A Comprehensive Review.

Authors:  Louis Simon; Martin Blay; Filipe Galvao; Jerome Brunelin
Journal:  Front Psychiatry       Date:  2021-06-24       Impact factor: 4.157

7.  Electroconvulsive Therapy in Depression: Improvement in Quality of Life Depending on Age and Sex.

Authors:  Pelin Güney; Carl Johan Ekman; Åsa Hammar; Emelie Heintz; Mikael Landén; Johan Lundberg; Pia Nordanskog; Axel Nordenskjöld
Journal:  J ECT       Date:  2020-12       Impact factor: 3.692

8.  A symptom-based approach in predicting ECT outcome in depressed patients employing MADRS single items.

Authors:  Luisa Carstens; Corinna Hartling; Anna Stippl; Ann-Kathrin Domke; Ana Lucia Herrera-Mendelez; Sabine Aust; Matti Gärtner; Malek Bajbouj; Simone Grimm
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2021-07-16       Impact factor: 5.270

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.