Predictors of course in obsessive-compulsive disorder: logistic regression versus Cox regression for recurrent events

Objective:  Two methods for predicting remissions in obsessive–compulsive disorder (OCD) treatment are evaluated. Y‐BOCS measurements of 88 patients with a primary OCD (DSM‐III‐R) diagnosis were performed over a 16‐week treatment period, and during three follow‐ups. Method:  Remission at any measure...

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Veröffentlicht in:Acta Psychiatrica Scandinavica 2007-09, Vol.116 (3), p.201-210
Hauptverfasser: Kempe, P. T., Van Oppen, P., De Haan, E., Twisk, J. W. R., Sluis, A., Smit, J. H., Van Dyck, R., Van Balkom, A. J. L. M.
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container_end_page 210
container_issue 3
container_start_page 201
container_title Acta Psychiatrica Scandinavica
container_volume 116
creator Kempe, P. T.
Van Oppen, P.
De Haan, E.
Twisk, J. W. R.
Sluis, A.
Smit, J. H.
Van Dyck, R.
Van Balkom, A. J. L. M.
description Objective:  Two methods for predicting remissions in obsessive–compulsive disorder (OCD) treatment are evaluated. Y‐BOCS measurements of 88 patients with a primary OCD (DSM‐III‐R) diagnosis were performed over a 16‐week treatment period, and during three follow‐ups. Method:  Remission at any measurement was defined as a Y‐BOCS score lower than thirteen combined with a reduction of seven points when compared with baseline. Logistic regression models were compared with a Cox regression for recurrent events model. Results:  Logistic regression yielded different models at different evaluation times. The recurrent events model remained stable when fewer measurements were used. Higher baseline levels of neuroticism and more severe OCD symptoms were associated with a lower chance of remission, early age of onset and more depressive symptoms with a higher chance. Conclusion:  Choice of outcome time affects logistic regression prediction models. Recurrent events analysis uses all information on remissions and relapses. Short‐ and long‐term predictors for OCD remission show overlap.
doi_str_mv 10.1111/j.1600-0447.2007.00997.x
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Higher baseline levels of neuroticism and more severe OCD symptoms were associated with a lower chance of remission, early age of onset and more depressive symptoms with a higher chance. Conclusion:  Choice of outcome time affects logistic regression prediction models. Recurrent events analysis uses all information on remissions and relapses. Short‐ and long‐term predictors for OCD remission show overlap.</description><identifier>ISSN: 0001-690X</identifier><identifier>EISSN: 1600-0447</identifier><identifier>EISSN: 0065-1591</identifier><identifier>DOI: 10.1111/j.1600-0447.2007.00997.x</identifier><identifier>PMID: 17655562</identifier><identifier>CODEN: APYSA9</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><subject>Adult and adolescent clinical studies ; Anti-Anxiety Agents - therapeutic use ; Anxiety disorders. 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T.</creatorcontrib><creatorcontrib>Van Oppen, P.</creatorcontrib><creatorcontrib>De Haan, E.</creatorcontrib><creatorcontrib>Twisk, J. W. R.</creatorcontrib><creatorcontrib>Sluis, A.</creatorcontrib><creatorcontrib>Smit, J. H.</creatorcontrib><creatorcontrib>Van Dyck, R.</creatorcontrib><creatorcontrib>Van Balkom, A. J. L. M.</creatorcontrib><title>Predictors of course in obsessive-compulsive disorder: logistic regression versus Cox regression for recurrent events</title><title>Acta Psychiatrica Scandinavica</title><addtitle>Acta Psychiatr Scand</addtitle><description>Objective:  Two methods for predicting remissions in obsessive–compulsive disorder (OCD) treatment are evaluated. Y‐BOCS measurements of 88 patients with a primary OCD (DSM‐III‐R) diagnosis were performed over a 16‐week treatment period, and during three follow‐ups. Method:  Remission at any measurement was defined as a Y‐BOCS score lower than thirteen combined with a reduction of seven points when compared with baseline. Logistic regression models were compared with a Cox regression for recurrent events model. Results:  Logistic regression yielded different models at different evaluation times. The recurrent events model remained stable when fewer measurements were used. Higher baseline levels of neuroticism and more severe OCD symptoms were associated with a lower chance of remission, early age of onset and more depressive symptoms with a higher chance. Conclusion:  Choice of outcome time affects logistic regression prediction models. Recurrent events analysis uses all information on remissions and relapses. Short‐ and long‐term predictors for OCD remission show overlap.</description><subject>Adult and adolescent clinical studies</subject><subject>Anti-Anxiety Agents - therapeutic use</subject><subject>Anxiety disorders. 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M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predictors of course in obsessive-compulsive disorder: logistic regression versus Cox regression for recurrent events</atitle><jtitle>Acta Psychiatrica Scandinavica</jtitle><addtitle>Acta Psychiatr Scand</addtitle><date>2007-09</date><risdate>2007</risdate><volume>116</volume><issue>3</issue><spage>201</spage><epage>210</epage><pages>201-210</pages><issn>0001-690X</issn><eissn>1600-0447</eissn><eissn>0065-1591</eissn><coden>APYSA9</coden><abstract>Objective:  Two methods for predicting remissions in obsessive–compulsive disorder (OCD) treatment are evaluated. Y‐BOCS measurements of 88 patients with a primary OCD (DSM‐III‐R) diagnosis were performed over a 16‐week treatment period, and during three follow‐ups. Method:  Remission at any measurement was defined as a Y‐BOCS score lower than thirteen combined with a reduction of seven points when compared with baseline. 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subjects Adult and adolescent clinical studies
Anti-Anxiety Agents - therapeutic use
Anxiety disorders. Neuroses
Behavior Therapy
Biological and medical sciences
Cognitive Therapy
Combined Modality Therapy
Comparative analysis
Depression - diagnosis
Depression - psychology
Depression - therapy
Desensitization, Psychologic
Fluvoxamine - therapeutic use
Follow-Up Studies
forecasting
Humans
Logistic Models
Medical sciences
Neuroses
Neurotic Disorders - diagnosis
Neurotic Disorders - psychology
Neurotic Disorders - therapy
obsessive-compulsive disorder
Obsessive-Compulsive Disorder - diagnosis
Obsessive-Compulsive Disorder - psychology
Obsessive-Compulsive Disorder - therapy
Obsessive-compulsive disorders
Outcome and Process Assessment (Health Care) - statistics & numerical data
Personality Inventory - statistics & numerical data
Proportional Hazards Models
Psychiatry
Psychology. Psychoanalysis. Psychiatry
Psychometrics
Psychopathology. Psychiatry
Randomized Controlled Trials as Topic
Recurrence
Regression analysis
remission induction
treatment outcome
title Predictors of course in obsessive-compulsive disorder: logistic regression versus Cox regression for recurrent events
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