Bozzatello Paola, Giordano Benedetta, Montemagni Cristiana, Rocca Paola, Bellino Silvio
Department of Neuroscience, University of Turin, 10126 Turin, Italy.
J Clin Med. 2022 Jul 28;11(15):4400. doi: 10.3390/jcm11154400.
Investigations on predictors of real-world functioning were mainly performed in patients with schizophrenia, while fewer studies have been conducted in other psychiatric disorders.
Our objective was to identify clinical, socio-demographic, and illness-related predictors of real-world functioning during 12 months of standard treatments in outpatients with different diagnoses.
Outpatients ( = 1019) with schizophrenia (SZ), major depressive disorder (MDD), bipolar disorder (BD), and borderline personality disorder (BPD) were evaluated with the following tools: SCID-5-CV and SCID-5-PD, CGI-S, SAT-P, DAI-10, and PSP. Change of PSP (ΔPSP) between baseline and 12 months was used as the dependent variable in multiple regression analysis.
Higher PSP score at baseline and the achievement of main milestones predicted better functioning after follow-up in all subgroups of patients, with the exception of BD. In the total sample, ΔPSP was related to age of onset, treatments, and quality of life, and inversely related to psychiatric anamnesis, antidepressants, and global symptoms. In SZ, ΔPSP was related to adherence and quality of life. In MDD, ΔPSP was related to psychotherapy and quality of life, and inversely related to antidepressants and global symptoms. In BD, ΔPSP was related to age of onset, antipsychotics, and quality of life, while it was inversely related to psychiatric anamnesis. In BPD, antipsychotics, mood stabilizers, psychotherapy, and quality of life were directly related to ΔPSP, while suicidal attempts and global symptoms had an inverse relation. Several socio-demographic and illness-related variables predicted improvement of real-world functioning, besides psychopathology and severity of the disease.
关于现实世界功能预测因素的研究主要在精神分裂症患者中进行,而在其他精神障碍患者中的研究较少。
我们的目的是确定不同诊断的门诊患者在12个月标准治疗期间现实世界功能的临床、社会人口学和疾病相关预测因素。
使用以下工具对精神分裂症(SZ)、重度抑郁症(MDD)、双相情感障碍(BD)和边缘性人格障碍(BPD)的门诊患者(n = 1019)进行评估:SCID-5-CV和SCID-5-PD、CGI-S、SAT-P、DAI-10和PSP。在多元回归分析中,将基线和12个月之间PSP的变化(ΔPSP)用作因变量。
除BD外,所有患者亚组中,基线时较高的PSP评分和主要里程碑的达成预测随访后功能更好。在总样本中,ΔPSP与发病年龄、治疗和生活质量相关,与精神病史、抗抑郁药和总体症状呈负相关。在SZ中,ΔPSP与依从性和生活质量相关。在MDD中,ΔPSP与心理治疗和生活质量相关,与抗抑郁药和总体症状呈负相关。在BD中,ΔPSP与发病年龄、抗精神病药和生活质量相关,与精神病史呈负相关。在BPD中,抗精神病药、心境稳定剂、心理治疗和生活质量与ΔPSP直接相关,而自杀企图和总体症状呈负相关。除了精神病理学和疾病严重程度外,一些社会人口学和疾病相关变量也预测了现实世界功能的改善。