Predicting Ordinal Clinical Outcomes in At-Risk Mental States: A Multimodal Approach - Takeaways - MDSpire

Predicting Ordinal Clinical Outcomes in At-Risk Mental States: A Multimodal Approach

  • By

  • Nagasawa, Kazuya

  • Higuchi, Yuko

  • Kaneko, Naohito

  • Miyazu, Kensei

  • Shimataki, Shunsuke

  • Nishiyama, Shimako

  • Akasaki, Yukiko

  • Izumi, Marino

  • Tsujii, Noa

  • Takahashi, Tsutomu

  • April 13, 2026

  • 0 min

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  • 1

    The study examines predictors of multilevel clinical outcomes in individuals with at-risk mental states (ARMS).

  • 2

    Eighty-seven subjects with ARMS were followed up and classified into four clinical outcome categories: remission, symptomatic, prodromal progression, and psychotic.

  • 3

    Ordinal logistic regression analyses identified predictors associated with ordered clinical outcomes using baseline measures.

  • 4

    Key predictors of worse outcomes included reduced dMMN amplitude, greater severity of positive symptoms, and poor cognitive functioning.

  • 5

    The findings indicate that clinical trajectories of ARMS can be predicted by multimodal factors across neurophysiological, clinical, and functional domains.

Original Source(s)

Predicting Ordinal Clinical Outcomes in At-Risk Mental States: A Multimodal Approach

  • by Nagasawa, Kazuya , Higuchi, Yuko , Kaneko, Naohito , Miyazu, Kensei , Shimataki, Shunsuke , Nishiyama, Shimako , Akasaki, Yukiko , Izumi, Marino , Tsujii, Noa , Takahashi, Tsutomu

  • April 13, 2026

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