Literature DB >> 25506755

Is the BPRS-5 subscale of the psychotic depression assessment scale a reliable screening tool for psychotic depression?: Results from the CRESCEND study.

Seon-Cheol Park1, Søren Dinesen Østergaard2, Joonho Choi3, Jae-Min Kim4, Tae-Youn Jun5, Min-Soo Lee6, Jung-Bum Kim7, Hyeon-Woo Yim8, Yong Chon Park9.   

Abstract

BACKGROUND: The detection of psychotic depression (PD) among patients with depressive disorders is important for both treatment and monitoring. Therefore, in continuation of our previous work, this study aimed to test the ability of the five-item Brief Psychiatric Rating Scale (BPRS-5) of the Psychotic Depression Assessment Scale (PDAS) in separating patients with psychotic depression from those with non-psychotic depression (non-PD) and to compare this discriminative validity to that of other item sets.
METHODS: A receiver operating characteristics curve was used to identify the optimal cut-off score of the BPRS-5 subscale for sensitive and specific distinction between PD and non-PD in a sample of 494 patients with depressive disorders (53 with PD and 441 with non-PD).
RESULTS: Using an optimal cut-off score of 1, the sensitivity and the specificity of the BPRS-5 subscale in detecting PD were 71.2% and 87.2%, respectively. The BPRS-5 outperformed other item sets of the PDAS and the positive symptom subscale of the BPRS in identifying patients with PD. LIMITATIONS: The inter-rater reliability of the PDAS and the BPRS-5 subscale was not evaluated in this study.
CONCLUSIONS: The BPRS-5 subscale can be regarded as a more sensitive screening method for PD compared to other item sets from the PDAS and the BPRS. Hence, from a screening perspective, a positive score on any of the five symptoms of the BPRS-5 subscale (hallucinatory behavior, unusual thought content, suspiciousness, blunted affect, and emotional withdrawal) is indicative of PD, and should lead to more thorough diagnostic assessment.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Diagnostic assessment; Five-item Brief Psychiatric Rating Scale (BPRS-5); Psychotic Depression Assessment Scale (PDAS); Psychotic depression (PD)

Mesh:

Year:  2014        PMID: 25506755     DOI: 10.1016/j.jad.2014.11.014

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  8 in total

Review 1.  Rating scales measuring the severity of psychotic depression.

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

2.  Establishing the cut-off score for remission and severity-ranges on the Psychotic Depression Assessment Scale (PDAS).

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

3.  Clinical Significance of the Number of Depressive Symptoms in Major Depressive Disorder: Results from the CRESCEND Study.

Authors:  Seon-Cheol Park; Jeongkyu Sakong; Bon Hoon Koo; Jae-Min Kim; Tae-Youn Jun; Min-Soo Lee; Jung-Bum Kim; Hyeon-Woo Yim; Yong Chon Park
Journal:  J Korean Med Sci       Date:  2016-03-09       Impact factor: 2.153

4.  Measuring negative symptoms in patients with schizophrenia: reliability and validity of the Korean version of the Motivation and Pleasure Scale-Self-Report.

Authors:  Ji-Sun Kim; Seon-Kyeong Jang; Seon-Cheol Park; Jung-Seo Yi; Joong-Kyu Park; Jung Suk Lee; Kee-Hong Choi; Seung-Hwan Lee
Journal:  Neuropsychiatr Dis Treat       Date:  2016-05-11       Impact factor: 2.570

5.  Clinical Validation of the Psychotic Depression Assessment Scale, Hamilton Depression Rating Scale-6, and Brief Psychiatric Rating Scale-5: Results from the Clinical Research Center for Depression Study.

Authors:  Seon-Cheol Park; Eun Young Jang; Jae-Min Kim; Tae-Youn Jun; Min-Soo Lee; Jung-Bum Kim; Hyeon-Woo Yim; Yong Chon Park
Journal:  Psychiatry Investig       Date:  2017-09-11       Impact factor: 2.505

6.  Diagnostic Issues of Depressive Disorders from Kraepelinian Dualism to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition.

Authors:  Seon-Cheol Park; Yong-Ku Kim
Journal:  Psychiatry Investig       Date:  2019-09-23       Impact factor: 2.505

7.  A Machine-Learning-Algorithm-Based Prediction Model for Psychotic Symptoms in Patients with Depressive Disorder.

Authors:  Kiwon Kim; Je Il Ryu; Bong Ju Lee; Euihyeon Na; Yu-Tao Xiang; Shigenobu Kanba; Takahiro A Kato; Mian-Yoon Chong; Shih-Ku Lin; Ajit Avasthi; Sandeep Grover; Roy Abraham Kallivayalil; Pornjira Pariwatcharakul; Kok Yoon Chee; Andi J Tanra; Chay-Hoon Tan; Kang Sim; Norman Sartorius; Naotaka Shinfuku; Yong Chon Park; Seon-Cheol Park
Journal:  J Pers Med       Date:  2022-07-26

8.  Gender Differences in the Clinical Characteristics of Psychotic Depression: Results from the CRESCEND Study.

Authors:  Seon-Cheol Park; Søren Dinesen Østergaard; Jae-Min Kim; Tae-Youn Jun; Min-Soo Lee; Jung-Bum Kim; Hyeon-Woo Yim; Yong Chon Park
Journal:  Clin Psychopharmacol Neurosci       Date:  2015-12-31       Impact factor: 2.582

  8 in total

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