首页> 外文期刊>The journal of clinical psychiatry >A naturalistic study of risperidone treatment outcome using prognosis-adjusted discharge rates in New York State inpatients.
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A naturalistic study of risperidone treatment outcome using prognosis-adjusted discharge rates in New York State inpatients.

机译:使用纽约州住院患者的经预后调整的出院率对利培酮治疗结果进行的自然研究。

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BACKGROUND: Information concerning the effectiveness of newer atypical antipsychotics is derived largely from controlled clinical trials of relatively short duration. Limited information is available concerning naturalistic outcome of patients selected for clinical treatment with atypical antipsychotics. This study evaluates 1-year discharge rates among all patients treated with risperidone within the New York State inpatient psychiatric hospital system during the calendar years 1994 and 1995 ("period of interest") relative to patients treated with all other antipsychotic medications. METHOD: Data from the Integrated Research Database at Nathan Kline Institute (Orangeburg, N.Y.) were used. This database maintains complete treatment records for all inpatients within the New York State psychiatric inpatient system along with demographic, diagnostic, admission, and discharge information. Patients were identified at admission or first change in antipsychotic during the period of interest, and 1-year outcome was determined. RESULTS: 2198 risperidone-treated patients were identified versus 3259 treated with other antipsychotics. Length of hospitalization prior to treatment initiation was the primary predictor of discharge rate for both risperidone and control groups. When adjustment was made for between-group difference in prognosis (dischargeability), patients treated with risperidone within 30 days of admission were less likely to be discharged than those treated with all other agents (including clozapine), whereas risperidone was more effective in patients who had been hospitalized for 90 days or more prior to switch from another antipsychotic to risperidone. CONCLUSION: When database information is utilized to evaluate treatment effectiveness, adjustment must be made for a priori differences in prognosis or dischargeability. With appropriate methodology, database studies may indicate which patient groups are most likely to benefit from newer atypical antipsychotic agents.
机译:背景:有关新型非典型抗精神病药有效性的信息主要来自持续时间相对较短的对照临床试验。关于选择用于非典型抗精神病药物临床治疗的患者的自然结果方面的信息有限。这项研究评估了1994和1995历年纽约州住院精神病医院系统内所有使用利培酮治疗的患者相对于所有其他抗精神病药物治疗患者的1年出院率。方法:使用来自内森·克莱因研究所(纽约州奥兰治堡)的综合研究数据库的数据。该数据库维护了纽约州精神病住院系统内所有住院病人的完整治疗记录,以及人口统计,诊断,入院和出院信息。在感兴趣期间确定患者入院时或首次改变抗精神病药物后,确定1年结局。结果:确定使用利培酮治疗的患者为2198例,而使用其他抗精神病药治疗的患者为3259例。对于利培酮和对照组,开始治疗前住院的时间是出院率的主要预测指标。调整两组间的预后差异(出院能力)后,入院后30天内接受利培酮治疗的患者出院的可能性比使用所有其他药物(包括氯氮平)治疗的患者少,而利培酮对那些从另一种抗精神病药转为利培酮之前已住院90天或更长时间。结论:当利用数据库信息评估治疗效果时,必须对预后或出院率的先验差异进行调整。通过适当的方法,数据库研究可以表明哪些患者群体最有可能从新型非典型抗精神病药中受益。

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