Rehospitalization Risk of Receptor-Affinity Profile in Antipsychotic Drug Treatment: A Propensity Score Matching Analysis Using a Japanese Employment-Based Health Insurance Database

التفاصيل البيبلوغرافية
العنوان: Rehospitalization Risk of Receptor-Affinity Profile in Antipsychotic Drug Treatment: A Propensity Score Matching Analysis Using a Japanese Employment-Based Health Insurance Database
المؤلفون: Tadashi Nosaka, Yoshiteru Takekita, Sachie Inoue, Kenji Baba
المصدر: Neuropsychiatric Disease and Treatment
بيانات النشر: Informa UK Limited, 2020.
سنة النشر: 2020
مصطلحات موضوعية: rehospitalization, medicine.medical_specialty, Neuropsychiatric Disease and Treatment, medicine.drug_class, medicine.medical_treatment, Hypnotic, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, medicine, Clinical endpoint, Antipsychotic, claim database, Original Research, propensity score matching, Proportional hazards model, business.industry, sedative effect, Hazard ratio, medicine.disease, 030227 psychiatry, schizophrenia, antipsychotics, Schizophrenia, Propensity score matching, business, 030217 neurology & neurosurgery, Cohort study
الوصف: Yoshiteru Takekita,1 Sachie Inoue,2 Kenji Baba,3 Tadashi Nosaka3 1Department of Neuropsychiatry, Kansai Medical University, Osaka, Japan; 2CRECON Medical Assessment Inc, Tokyo, Japan; 3Sumitomo Dainippon Pharma Co, Ltd, Tokyo, JapanCorrespondence: Yoshiteru TakekitaDepartment of Neuropsychiatry, Kansai Medical University, 10-15 Fumizono-Cho, Moriguchi, Osaka 570-8506, JapanTel +81-6-6992-1001Fax +81-6-6992-4846Email takekity@takii.kmu.ac.jpPurpose: The aim of this study was to examine whether there is a difference in the risk of rehospitalization when antipsychotics are classified into two groups treated using drugs with a higher or lower affinity to H1 or α 1 receptors than to D2 receptors (histamine H1 receptors, adrenaline α 1 receptors [HA] high- and HA low-affinity drug group, respectively) based on affinity to receptors related to sedation using a nationwide insurance claims database in Japan.Patients and Methods: We identified eligible patients by the following two criteria: (i) hospitalization due to schizophrenia (International Classification of Disease [ICD]-10 code: F20 or F25) in psychiatric wards between January 1st, 2005 and August 31st, 2017, and (ii) administration of HA high- or HA low-affinity drugs in the next month after discharge from the earliest hospitalization due to schizophrenia (index month). The primary endpoint was rehospitalization due to schizophrenia. The secondary endpoints were (i) involuntary rehospitalization, (ii) concomitant use of anxiolytics/hypnotics, mood stabilizers, and antiparkinsonian drugs, (iii) all-cause death, and (iv) medication discontinuation. Propensity score (PS) matching analysis was applied, and the hazard ratio (HR) of the event rate in the HA high-affinity drug group relative to the HA low-affinity drug group was calculated using Cox’s proportional hazards model.Results: Two thousand nine hundred and forty patients were identified as eligible patients. Among PS-matched patients (819 in each group), the HR in the HA high-affinity drug group compared with the HA low-affinity drug group was 1.018 (0.822– 1.260, P = 0.870). Other outcomes did not differ significantly between the two groups.Conclusion: No significant difference was observed in the rehospitalization risk due to schizophrenia associated with HA high-affinity antipsychotic drugs. Although this study was a retrospective PS-matched cohort study, the possibility of masking of the rehospitalization risk cannot be excluded because more than 80% of the patients were administered an anxiolytic/hypnotic at the time of admission.Keywords: schizophrenia, antipsychotics, sedative effect, rehospitalization, claim database, propensity score matching
وصف الملف: text/html
تدمد: 1178-2021
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::103fedbfc1d960f8ff7881c11784d90e
https://doi.org/10.2147/ndt.s276030
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....103fedbfc1d960f8ff7881c11784d90e
قاعدة البيانات: OpenAIRE