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Published Online: 13 August 2016

Toward the Reliable Diagnosis of DSM-5 Premenstrual Dysphoric Disorder: The Carolina Premenstrual Assessment Scoring System (C-PASS)

Abstract

Objective:

Despite evidence for the validity of premenstrual dysphoric disorder (PMDD) and the inclusion of the disorder in DSM-5, variable diagnostic practices compromise the construct validity of the diagnosis and threaten the clarity of efforts to understand and treat its underlying pathophysiology. In an effort to hasten and streamline the translation of the DSM-5 criteria for PMDD into terms compatible with existing research practices, the authors present the development and initial validation of the Carolina Premenstrual Assessment Scoring System (C-PASS). The C-PASS (available as a worksheet, Excel macro, and SAS macro) is a standardized scoring system for making DSM-5 PMDD diagnoses using two or more months of daily symptom ratings with the Daily Record of Severity of Problems (DRSP).

Method:

Two hundred women recruited for retrospectively reported premenstrual emotional symptoms provided two to four months of daily symptom ratings on the DRSP. Diagnoses made by expert clinician and by the C-PASS were compared.

Results:

Agreement of C-PASS diagnosis with expert clinical diagnosis was excellent; overall correct classification by the C-PASS was estimated at 98%. Consistent with previous evidence, retrospective reports of premenstrual symptom increases were a poor predictor of prospective C-PASS diagnosis.

Conclusions:

The C-PASS is a reliable and valid companion protocol to the DRSP that standardizes and streamlines the complex, multilevel diagnosis of DSM-5 PMDD. Consistent use of this robust diagnostic method would result in more clearly defined, homogeneous samples of women with PMDD, thereby improving the clarity of studies seeking to characterize and treat the underlying pathophysiology of the disorder.

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Supplementary Material

File (appi.ajp.2016.15121510.ds001.pdf)

Information & Authors

Information

Published In

Go to American Journal of Psychiatry
Go to American Journal of Psychiatry
American Journal of Psychiatry
Pages: 51 - 59
PubMed: 27523500

History

Received: 1 December 2015
Revision received: 31 March 2016
Revision received: 6 May 2016
Accepted: 16 May 2016
Published online: 13 August 2016
Published in print: January 01, 2017

Authors

Affiliations

Tory A. Eisenlohr-Moul, Ph.D.
From the Departments of Psychiatry and Biostatistics, University of North Carolina at Chapel Hill; and the Institute of Medical Psychology, Heidelberg University, Heidelberg, Germany.
Susan S. Girdler, Ph.D.
From the Departments of Psychiatry and Biostatistics, University of North Carolina at Chapel Hill; and the Institute of Medical Psychology, Heidelberg University, Heidelberg, Germany.
Katja M. Schmalenberger, M.S.
From the Departments of Psychiatry and Biostatistics, University of North Carolina at Chapel Hill; and the Institute of Medical Psychology, Heidelberg University, Heidelberg, Germany.
Danyelle N. Dawson, M.A.
From the Departments of Psychiatry and Biostatistics, University of North Carolina at Chapel Hill; and the Institute of Medical Psychology, Heidelberg University, Heidelberg, Germany.
Pallavi Surana, B.S.
From the Departments of Psychiatry and Biostatistics, University of North Carolina at Chapel Hill; and the Institute of Medical Psychology, Heidelberg University, Heidelberg, Germany.
Jacqueline L. Johnson, Dr.P.H.
From the Departments of Psychiatry and Biostatistics, University of North Carolina at Chapel Hill; and the Institute of Medical Psychology, Heidelberg University, Heidelberg, Germany.
David R. Rubinow, M.D.
From the Departments of Psychiatry and Biostatistics, University of North Carolina at Chapel Hill; and the Institute of Medical Psychology, Heidelberg University, Heidelberg, Germany.

Notes

Address correspondence to Dr. Eisenlohr-Moul ([email protected]).

Competing Interests

The authors report no financial relationships with commercial interests.

Funding Information

National Institute of Mental Health10.13039/100000025: R01MH081837, T32MH093315, R01MH099076
Supported by NIMH grants R01MH099076, R01MH081837, and T32MH093315.

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