Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, 139# Renmin Middle RD, Changsha, 410011, Hunan, China.
Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
BMC Med. 2023 Jul 19;21(1):263. doi: 10.1186/s12916-023-02968-7.
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.
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.
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%).
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.
This study was registered on Clinicaltrials.gov (NCT03451734).
预测早期未应答的精神分裂症患者对抗精神病药物的长期反应仍然具有挑战性。本研究旨在探讨早期无应答的最佳预测截断值,以便更好地预测精神分裂症患者后期对抗精神病药物的无应答。
这是一项在中国 19 家精神科中心进行的多中心、8 周、开放标签、随机试验。所有入组的参与者均接受奥氮平、利培酮、氨磺必利或阿立哌唑单药治疗 8 周。在基线、第 2 周、第 4 周和第 8 周评估阳性和阴性症状量表(PANSS)。主要结局是无应答的预测。无应答定义为从基线到终点 PANSS 总分降低<20%。轻度、中度和重度疾病的严重程度评分分别对应于基线 PANSS 总分 58、75 和 95。
在第 2 周,PANSS 总分降低<5%时,严重和轻度精神分裂症患者的总准确率最高(总准确率分别为 75.0%和 80.8%),且接受利培酮和氨磺必利治疗的患者(总准确率分别为 82.4%和 78.2%)。在中度精神分裂症患者(总准确率为 84.0%)、奥氮平(总准确率为 79.2%)和阿立哌唑组(总准确率为 77.4%)中,10%的降幅表现出最佳的总体准确率。在第 4 周,无论抗精神病药物或疾病严重程度如何,最佳预测截断值均为<20%(总准确率范围为 89.8%至 92.1%)。
在预测精神分裂症患者对抗精神病药物的后期无应答方面,第 2 周的症状减轻具有可接受的区分度,应根据药物治疗方案和基线疾病严重程度确定更准确的预测截断值。可以进一步评估第 2 周后的接下来 2 周的治疗反应,以确定是否需要在头四周改变抗精神病药物治疗。
本研究在 Clinicaltrials.gov 上注册(NCT03451734)。