AI Article Synopsis

  • The study examined how early changes in symptoms could predict long-term non-response to antipsychotic medications in schizophrenia patients.
  • At week 2, a less than 5% reduction in symptoms was most accurate for predicting non-response in severe and mild cases, while a 10% reduction was better for moderate cases.
  • By week 4, a cut-off of less than 20% reduction was found to be the best predictor of later non-response across all groups and medications, suggesting treatment adjustments may be necessary based on early symptom improvements.

Article Abstract

Background: It remains a challenge to predict the long-term response to antipsychotics in patients with schizophrenia who do not respond at an early stage. This study aimed to investigate the optimal predictive cut-off value for early non-response that would better predict later non-response to antipsychotics in patients with schizophrenia.

Methods: This multicenter, 8-week, open-label, randomized trial was conducted at 19 psychiatric centers throughout China. All enrolled participants were assigned to olanzapine, risperidone, amisulpride, or aripiprazole monotherapy for 8 weeks. The positive and negative syndrome scale (PANSS) was evaluated at baseline, week 2, week 4, and week 8. The main outcome was the prediction of nonresponse. Nonresponse is defined as a < 20% reduction in the total scores of PANSS from baseline to endpoint. Severity ratings of mild, moderate, and severe illness corresponded to baseline PANSS total scores of 58, 75, and 95, respectively.

Results: At week 2, a reduction of < 5% in the PANSS total score showed the highest total accuracy in the severe and mild schizophrenia patients (total accuracy, 75.0% and 80.8%, respectively), and patients who were treated with the risperidone and amisulpride groups (total accuracy, 82.4%, and 78.2%, respectively). A 10% decrease exhibited the best overall accuracy in the moderate schizophrenia patients (total accuracy, 84.0%), olanzapine (total accuracy, 79.2%), and aripiprazole group (total accuracy, 77.4%). At week 4, the best predictive cut-off value was < 20%, regardless of the antipsychotic or severity of illness (total accuracy ranging from 89.8 to 92.1%).

Conclusions: Symptom reduction at week 2 has acceptable discrimination in predicting later non-response to antipsychotics in schizophrenia, and a more accurate predictive cut-off value should be determined according to the medication regimen and baseline illness severity. The response to treatment during the next 2 weeks after week 2 could be further assessed to determine whether there is a need to change antipsychotic medication during the first four weeks.

Trial Registration: This study was registered on Clinicaltrials.gov (NCT03451734).

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10354903PMC
http://dx.doi.org/10.1186/s12916-023-02968-7DOI Listing

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