Chirica Marianne G, Adams Sydney M, Quinn Patrick D, Meraz Richard, Rickert Martin, Sidorchuk Anna, Kroenke Kurt, D'Onofrio Brian M
Department of Psychological and Brain Sciences, Indiana University, 1101 E 10th St, Bloomington, IN, 47405, USA.
Department of Psychological and Brain Sciences, Indiana University, 1101 E 10th St, Bloomington, IN, 47405, USA.
J Psychiatr Res. 2025 Apr;184:155-162. doi: 10.1016/j.jpsychires.2025.02.065. Epub 2025 Mar 1.
This study evaluated psychiatric diagnoses and race/ethnicity as predictors of both incident and long-term benzodiazepine use.
We implemented two designs using commercial healthcare claims from Optum's de-identified Clinformatics® Data Mart Database. We first conducted a case-control study and examined 1,904,608 individuals with a new benzodiazepine prescription (ages 13-64 from 2010 to 2019) and matched controls. We used conditional logistic regression to examine 21 potential indications and other psychiatric diagnoses and race/ethnicity as predictors of filling a benzodiazepine prescription. We then used Cox proportional hazards regression in a cohort study among those with a new benzodiazepine to examine the degree to which psychiatric diagnoses and race/ethnicity predicted transitioning to long-term treatment, defined as six months or more of continuous prescription fills.
All included psychiatric diagnoses were associated with incident benzodiazepine use, and most subsequently predicted long-term treatment. Among the most common and strongest predictors for incident use was having any anxiety disorder (Odds Ratio = 5.71; 95% Confidence Interval [CI], 5.67-5.76). Two years after the initial prescription, 8.0% of BZD recipients had met criteria for long-term treatment at least once. Among the strongest predictors of long-term treatment was severe mental illness [e.g., schizophrenia; (Hazard Ratio = 2.36; 95% CI, 2.27-2.47)]. Individuals from all racial/ethnic minoritized groups were less likely to have both incident and long-term benzodiazepine use compared with White individuals.
These findings highlight that transition to long-term treatment is occasionally occurring and notable among BZD recipients, particularly among those with severe mental illness.
本研究评估了精神疾病诊断及种族/族裔作为新发和长期使用苯二氮䓬类药物预测因素的情况。
我们利用Optum公司去识别化的临床信息学数据集市数据库中的商业医疗保健理赔数据实施了两种设计方案。我们首先进行了一项病例对照研究,研究对象为1904608名开具新的苯二氮䓬类药物处方的个体(年龄在13至64岁之间,时间跨度为2010年至2019年)以及匹配的对照个体。我们使用条件逻辑回归来检验21种潜在适应症、其他精神疾病诊断以及种族/族裔作为开具苯二氮䓬类药物处方预测因素的情况。然后,我们在一项针对开具新的苯二氮䓬类药物的人群的队列研究中使用Cox比例风险回归,以检验精神疾病诊断和种族/族裔在预测转为长期治疗(定义为连续开具处方达六个月或更长时间)方面的程度。
所有纳入的精神疾病诊断均与新发苯二氮䓬类药物使用相关,且大多数随后可预测长期治疗情况。在新发使用的最常见且最强的预测因素中,患有任何焦虑症(比值比 = 5.71;95%置信区间[CI],5.67 - 5.76)。初始处方后两年,8.0%的苯二氮䓬类药物接受者至少有一次符合长期治疗标准。长期治疗的最强预测因素之一是严重精神疾病[例如,精神分裂症;(风险比 = 2.36;95%CI,2.27 - 2.47)]。与白人个体相比,所有种族/族裔少数群体的个体新发和长期使用苯二氮䓬类药物的可能性均较低。
这些发现凸显出,在苯二氮䓬类药物接受者中,尤其是在患有严重精神疾病的患者中,转为长期治疗的情况偶尔发生且较为显著。