Didi Rhebergen1, Anne Huisman2, Filip Bouckaert3, King Kho4, Rob Kok4, Pascal Sienaert3, Harm-Pieter Spaans4, Max Stek5. 1. Department of Psychiatry and the EMGO(+) Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands; GGZ inGeest, Amsterdam, The Netherlands. Electronic address: d.rhebergen@ggzingeest.nl. 2. GGZ inGeest, Amsterdam, The Netherlands. 3. ECT Department, University Psychiatric Center, Catholic University Leuven, campus Kortenberg, Kortenberg, Belgium. 4. Parnassia, Psychiatric Institute the Hague, Clinical Center for the Elderly-ECT Department, The Hague, The Netherlands. 5. Department of Psychiatry and the EMGO(+) Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands; GGZ inGeest, Amsterdam, The Netherlands.
Abstract
OBJECTIVES: This study aims to empirically identify latent course trajectories of depressive symptoms during electroconvulsive therapy (ECT) within a cohort of patients suffering from a depressive disorder and to examine putative predictors of course. METHODS: Using a prospective cohort multicenter collaborative ECT design, 120 patients fulfilling the Mini International Neuropsychiatric Interview criteria for major depressive disorder and referred for ECT were selected. Ratings of the 17-item Hamilton Rating Scale for Depression (HRSD) were obtained weekly during the course of ECT. Latent class growth analysis was used to identify trajectories of course during 6-week follow-up, based on weekly total HRSD scores. Characteristics of the identified classes were examined, and putative predictors for class membership were tested. RESULTS: Data-driven techniques identified distinct course trajectories during 6-week follow-up ECT treatment, consisting of "rapid remission," "moderate response," and "nonremitting" course trajectories. Remission rates were as high as 80.1% in the rapid remission class. Older age was associated with rapid remission, even after adjustment for putative confounders. CONCLUSION: Our results strongly confirm the favorable outcome of ECT among elderly depressed inpatients.
RCT Entities:
OBJECTIVES: This study aims to empirically identify latent course trajectories of depressive symptoms during electroconvulsive therapy (ECT) within a cohort of patients suffering from a depressive disorder and to examine putative predictors of course. METHODS: Using a prospective cohort multicenter collaborative ECT design, 120 patients fulfilling the Mini International Neuropsychiatric Interview criteria for major depressive disorder and referred for ECT were selected. Ratings of the 17-item Hamilton Rating Scale for Depression (HRSD) were obtained weekly during the course of ECT. Latent class growth analysis was used to identify trajectories of course during 6-week follow-up, based on weekly total HRSD scores. Characteristics of the identified classes were examined, and putative predictors for class membership were tested. RESULTS: Data-driven techniques identified distinct course trajectories during 6-week follow-up ECT treatment, consisting of "rapid remission," "moderate response," and "nonremitting" course trajectories. Remission rates were as high as 80.1% in the rapid remission class. Older age was associated with rapid remission, even after adjustment for putative confounders. CONCLUSION: Our results strongly confirm the favorable outcome of ECT among elderly depressed inpatients.
Authors: W Vaughn McCall; Sarah H Lisanby; Peter B Rosenquist; Mary Dooley; Mustafa M Husain; Rebecca G Knapp; Georgios Petrides; Matthew V Rudorfer; Robert C Young; Shawn M McClintock; Martina Mueller; Joan Prudic; Robert M Greenberg; Richard D Weiner; Samuel H Bailine; Mary Anne Riley; Laryssa McCloud; Charles H Kellner Journal: J Affect Disord Date: 2016-11-11 Impact factor: 4.839
Authors: Jan Jaap Aten; Mardien Oudega; Eric van Exel; Max L Stek; Jeroen A van Waarde Journal: Eur Arch Psychiatry Clin Neurosci Date: 2015-03-25 Impact factor: 5.270
Authors: Charles Timäus; Jonathan Vogelgsang; Bernhard Kis; Katrin Radenbach; Claus Wolff-Menzler; Kiriaki Mavridou; Stephan Gyßer; Philipp Hessmann; Jens Wiltfang Journal: Eur Arch Psychiatry Clin Neurosci Date: 2020-01-29 Impact factor: 5.270