Seon-Cheol Park1, Joonho Choi2, Jae-Min Kim3, Tae-Youn Jun4, Min-Soo Lee5, Jung-Bum Kim6, Hyeon-Woo Yim7, Yong Chon Park8. 1. Department of Psychiatry, Yong-In Mental Hospital, Yongin, Republic of Korea; Institute of Mental Health, Hanyang University, Seoul, Republic of Korea. Electronic address: cogito-ergo-sum@hanmail.net. 2. Institute of Mental Health, Hanyang University, Seoul, Republic of Korea; Department of Psychiatry, College of Medicine, Hanyang University, Guri Hospital, Guri, Republic of Korea. Electronic address: jchoi@hanyang.ac.kr. 3. Department of Psychiatry, Chonnam National University School of Medicine, Gwangju, Republic of Korea. Electronic address: jmkim@chonnam.ac.kr. 4. Department of Psychiatry, College of Medicine, Catholic University of Korea, Seoul, Republic of Korea. Electronic address: tyjun@catholic.ac.kr. 5. Department of Psychiatry, College of Medicine, Korea University, Seoul, Republic of Korea. Electronic address: leeminso@korea.ac.kr. 6. Department of Psychiatry, Keimyung University School of Medicine, Daegu, Republic of Korea. Electronic address: kim1159@dsmc.or.kr. 7. Department of Preventive Medicine, College of Medicine, Catholic University of Korea, Seoul, Republic of Korea. Electronic address: y1693@catholic.ac.kr. 8. Institute of Mental Health, Hanyang University, Seoul, Republic of Korea; Department of Psychiatry, College of Medicine, Hanyang University, Guri Hospital, Guri, Republic of Korea. Electronic address: hypyc@hanyang.ac.kr.
Abstract
BACKGROUND: The Psychotic Depression Assessment Scale (PDAS) has been validated as a method of assessing the severity and treatment outcomes of psychotic depression (PD). We aimed to compare the results of the PDAS in PD and non-psychotic depression (non-PD) patients and validate the PDAS as a diagnostic tool for PD. METHODS: We included 53 patients with PD and 441 with non-PD who participated in the Clinical Research Center for Depression study in South Korea. In addition to the PDAS, psychometric tools including the HAMD17, HAMA, BPRS, CGI-S, SOFAS, SSI-Beck, WHOQOL-BREF, AUDIT, and FTND were used to assess, respectively, depression, anxiety, overall symptoms, global severity, social functioning, suicidal ideation, quality of life, alcohol use, and nicotine use. RESULTS: After adjusting for age and total HAMD17 score, PD patients had higher scores for depressive mood, hallucinations, unusual thought content, suspiciousness, blunted affect, and emotional withdrawal on the PDAS and higher total scores on the SSI-Beck than non-PD patients. Binary logistic regression identified hallucinatory behavior and emotional withdrawal as predictors of PD. Receiver operating characteristic analysis showed that emotional withdrawal could be used to differentiate psychotic from non-psychotic depression. LIMITATIONS: The inter-rater reliability for psychometric assessments was not evaluated. CONCLUSIONS: In addition to assessing the severity and treatment outcomes of PD, PDAS can help in the diagnosis of PD.
BACKGROUND: The Psychotic Depression Assessment Scale (PDAS) has been validated as a method of assessing the severity and treatment outcomes of psychotic depression (PD). We aimed to compare the results of the PDAS in PD and non-psychotic depression (non-PD) patients and validate the PDAS as a diagnostic tool for PD. METHODS: We included 53 patients with PD and 441 with non-PD who participated in the Clinical Research Center for Depression study in South Korea. In addition to the PDAS, psychometric tools including the HAMD17, HAMA, BPRS, CGI-S, SOFAS, SSI-Beck, WHOQOL-BREF, AUDIT, and FTND were used to assess, respectively, depression, anxiety, overall symptoms, global severity, social functioning, suicidal ideation, quality of life, alcohol use, and nicotine use. RESULTS: After adjusting for age and total HAMD17 score, PDpatients had higher scores for depressive mood, hallucinations, unusual thought content, suspiciousness, blunted affect, and emotional withdrawal on the PDAS and higher total scores on the SSI-Beck than non-PDpatients. Binary logistic regression identified hallucinatory behavior and emotional withdrawal as predictors of PD. Receiver operating characteristic analysis showed that emotional withdrawal could be used to differentiate psychotic from non-psychotic depression. LIMITATIONS: The inter-rater reliability for psychometric assessments was not evaluated. CONCLUSIONS: In addition to assessing the severity and treatment outcomes of PD, PDAS can help in the diagnosis of PD.
Authors: S D Østergaard; A J Rothschild; A J Flint; B H Mulsant; E M Whyte; A K Leadholm; P Bech; B S Meyers Journal: Acta Psychiatr Scand Date: 2015-05-27 Impact factor: 6.392
Authors: Søren D Østergaard; Anthony J Rothschild; Alastair J Flint; Benoit H Mulsant; Ellen M Whyte; Tom Vermeulen; Per Bech; Barnett S Meyers Journal: J Affect Disord Date: 2015-10-22 Impact factor: 4.839