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Effects of electroconvulsive therapy for depression on health related quality of life Adam Kavanagh
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Acknowledgements Prof. Declan McLoughlin Dr. Maria Semkovska, Dr. Ross Dunne, Dr. Martha Noone, Dr. Erik Kolshus, Ana Jelovac, Sinead Lambe, Mary Carton Shane McCarron, Ger Ryan, Lucy Kiely
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Presentation outline Depression Electroconvulsive therapy Aim Methodology Results
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Depression 7% - 12% for men 20% - 25% for women 4th highest contributor to total burden of disease 2nd leading cause of disability by 2020 Low mood or Anhedonia Weight Sleep Concentration Psychomotor agitation/ retardation Fatigue Worthlessness/ guilt Suicidal thoughts The symptoms cause clinically significant impairment in functioning
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Electroconvulsive therapy Kavanagh & McLoughlin 2009
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Aim The aim of this study was to compare the effects of 1.5 × ST bitemporal and high dose (6 × ST) RUL ECT administered twice weekly on Health related quality of life (HRQOL)
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Methodology EFFECT-DEP TRIAL (ISRCTN23577151) – Design – Location – Inclusion/ Exclusion – Randomization – Primary outcome – Power
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SF-36 A generic outcome measure Subjectively rated Only 36 questions 8-scale profile of functional health and well-being Psychometrically-based physical and mental health summary measures Normative data Sensitive to change Most frequently used patient rated outcome measure used in clinical trials (Scoggins & Patrick 2009)
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Results
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High-dose RUL Mean (SD) Bitemporal Mean (SD) t-test (d.f.)χ²-test (d.f.) P Demographic details Age56.7 (15.0)59.1 (13.8)-1.173 (98) P = 0.244 Female29 (58%)31 (62%) 0.167 (1)P = 0.683 Clinical details Baseline HDRS30.3 (6.8)29.3 (7.0)0.720 (98) P = 0.473 Baseline BDI II32.1 (11.9)37.2 (13.6)-1.515 (56) P = 0.135 Psychotic8 (16%)6 (12%) 0.500 (1)P = 0.479 Treatment resistant 25 (50%)30 (60%) 0.646 (1)P = 0.421 Previous ECT22 (44%)20 (40%) 0.041 (1)P = 0.839
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Pre-treatment N (RUL = 36, Bi = 32), 6 months N (RUL = 26, bi = 28), Completed both assessments (RUL = 21, Bi = 22)
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Pre-treatment N (RUL = 36, Bi = 32), 6 months N (RUL = 26, bi = 28), Completed both assessments (RUL = 21, Bi = 22)
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HRQOL 6 months after ECT for severe depression compared to “normal” population
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Predicting HRQOL 6 months after ECT for severe depression
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Linear model MCS score = Treatment parameters (Laterality, dose, seizure duration) + Patient characteristics (Gender, age) + Clinical details (Medications, resistance, remission status, cognitive functioning) Remission status at EOT
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Summary Depression significantly impacts HRQOL ECT is associated with improvements in subjectively assessed HRQOL High dose RUL ECT is as effective as standard bitemporal ECT Persistent deficits 6 months after treatment Remission status at EOT explained persistent deficits
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Strengths & limitations Strengths – Randomized design – Large sample size – New information about HDRUL ECT – Generalizable results – No difference between participants that completed assessments and those that did not – Robust outcomes measure – Robust data analysis approach Limitations – Loss of data at 6 months
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Health related quality of life HRQOL – depression HRQOL – depression and ECT HRQOL – depression and ECT and NICE ‘03 + ‘09
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Electroconvulsive therapy The UK ECT Review Group (2003) - meta-analysis: – Real ECT more effective than simulated ECT: – 9·7 point difference in HDRS Janicak et al (1985) – Meta-analysis: – MAOI – ECT more effective by 45% – Tricyclic – ECT more effective by 20% SSRI – ECT significantly more effective than Paroxetine (Folkerts et al. 1997): – 59% Vs reduction 29% reduction in HDRS score.
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