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Exploratory Clinical Trial of a Depression Diagnostic Software That Integrates Stress Biomarkers and Composite Psychometrics.
Jang, Sooah; Kim, In-Young; Choi, Sun-Woo; Lee, Anna; Lee, Ju-Yeal; Shin, Hyunkyung; Lee, Junwoo; Lee, Mikyeong; Lee, Kyoung-Ryul; Jung, Saeeun; Ryu, Jin Sun; Oh, Jihee; Kwon, Manjae; Kim, Joohan; Ahn, Ryunsup; Jung, Young-Chul; Seok, Jeong-Ho.
Afiliação
  • Jang S; Research Institute of Minds.AI, Co. Ltd., Seoul, Republic of Korea.
  • Kim IY; Institue of Behavioral Sciences in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Choi SW; Research Institute of Minds.AI, Co. Ltd., Seoul, Republic of Korea.
  • Lee A; Research Institute of Minds.AI, Co. Ltd., Seoul, Republic of Korea.
  • Lee JY; Department of Laboratory Medicine, Seoul Clinical Laboratories, Yongin, Republic of Korea.
  • Shin H; Research Institute of Minds.AI, Co. Ltd., Seoul, Republic of Korea.
  • Lee J; Research Institute of Minds.AI, Co. Ltd., Seoul, Republic of Korea.
  • Lee M; Institue of Behavioral Sciences in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Lee KR; Research Institute of Minds.AI, Co. Ltd., Seoul, Republic of Korea.
  • Jung S; Department of Laboratory Medicine, Seoul Clinical Laboratories, Yongin, Republic of Korea.
  • Ryu JS; Department of Laboratory Medicine, Seoul Clinical Laboratories, Yongin, Republic of Korea.
  • Oh J; Research Institute of Minds.AI, Co. Ltd., Seoul, Republic of Korea.
  • Kwon M; Research Institute of Minds.AI, Co. Ltd., Seoul, Republic of Korea.
  • Kim J; Institue of Behavioral Sciences in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Ahn R; Department of Psychiatry, Myongji Hospital, Hanyang University College of Medicine, Goyang, Republic of Korea.
  • Jung YC; Institue of Behavioral Sciences in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Seok JH; Institue of Behavioral Sciences in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
Psychiatry Investig ; 21(3): 230-241, 2024 Mar.
Article em En | MEDLINE | ID: mdl-38569581
ABSTRACT

OBJECTIVE:

This study evaluated the clinical effectiveness of Minds.NAVI, a depression screening kit combining psychometric measures and stress hormone biomarkers, in a prospective clinical trial. The objective was to assess its potential as a depression screening tool and investigate the associations between psychological assessments, salivary hormone staging, and depression severity.

METHODS:

Thirty-five participants with major depressive disorder and 12 healthy controls (HCs) were included. The Minds.NAVI software, utilizing the PROtective and Vulnerable factors battEry Test (PROVE) and salivary cortisol/dehydroepiandrosterone (DHEA) analysis, was employed. The PROVE test is a comprehensive self-report questionnaire that assesses depressive symptoms, suicide risk, attachment style, adverse childhood experiences, mentalization capacity, and resilience. In addition, salivary cortisol and DHEA levels were measured to evaluate the functional stage of the hypothalamic-pituitary-adrenal (HPA) axis.

RESULTS:

Minds.NAVI exhibited 100% sensitivity, 91.7% specificity, and 97.9% accuracy in distinguishing depression from HCs within an exploratory small group. Salivary stress hormone phases showed changes with depression stage (p=0.030), and the proportion of patients with "adrenal exhaustion stage" was higher in the moderate/severe depression group (p=0.038). Protective/vulnerable factors differed significantly between controls and depressed groups (p<0.001). Cortisol awakening response inversely correlated with depressive symptom severity (r=-0.31, p=0.034).

CONCLUSION:

This study suggested possible clinical effectiveness of Minds.NAVI, a depression screening tool that integrates psychometric measures and stress hormone biomarkers. The findings support the potential association between depression, chronic stress, and HPA axis hyporesponsiveness.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article