z-logo
Premium
Predictors of remission during acute treatment of first‐episode schizophrenia patients involuntarily hospitalized and treated with algorithm‐based pharmacotherapy: Secondary analysis of an observational study
Author(s) -
Yoshimura Bunta,
Sakamoto Shinji,
Sato Kojiro,
Takaki Manabu,
Yamada Norihito
Publication year - 2019
Publication title -
early intervention in psychiatry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.087
H-Index - 45
eISSN - 1751-7893
pISSN - 1751-7885
DOI - 10.1111/eip.12531
Subject(s) - pharmacotherapy , medicine , olanzapine , schizoaffective disorder , schizophrenia (object oriented programming) , observational study , retrospective cohort study , logistic regression , antipsychotic , psychiatry , pediatrics , psychosis
Aim Early clinical response predicts symptomatic remission and recovery in the maintenance treatment phase of first‐episode schizophrenia (FES). However, little is known about predictors of symptomatic remission during acute treatment of severely ill patients with FES. Here, we conducted a secondary analysis of our retrospective observational study, which examined response, remission and treatment‐resistance rates in seriously ill patients with FES spectrum disorders involuntarily hospitalized and treated with algorithm‐based pharmacotherapy. Methods We performed a retrospective chart review of 131 involuntarily admitted patients with schizophrenia or schizoaffective disorder. Our algorithm aimed to delay olanzapine treatment, standardize medications and suggest initiation of clozapine after failure of third‐line antipsychotic treatment. The duration of each adequate antipsychotic treatment at an optimal dosage was 4 weeks or more. Remission was defined using the symptom‐severity component of consensus remission criteria. A logistic regression model was applied to identify significant predictors of remission at discharge. Results Overall, 74 patients (56%) were in remission at discharge. Non‐remitters were hampered from becoming remitters mainly by the presence of negative symptoms. There were no differences in first‐line antipsychotics, dosage of antipsychotics at time of response and adherence rates to algorithm‐based pharmacotherapy between remitters and non‐remitters. Shorter duration of untreated psychosis, favourable early response and less negative symptoms at baseline were identified as independent predictors of remission at discharge. Conclusions The importance of early intervention and specific and adequate treatments of negative symptoms is highlighted.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here