抗精神病药
前瞻性队列研究
医学
队列
队列研究
碳水化合物代谢
内科学
内分泌学
精神科
精神分裂症(面向对象编程)
作者
Takashi Miyakoshi,Shuhei Ishikawa,Ryo Okubo,Naoki Hashimoto,Norihiro Sato,Ichiro Kusumi,Yoichi M. Ito
标识
DOI:10.1016/j.jpsychires.2023.10.055
摘要
Antipsychotic medications increase the risk of abnormal glucose metabolism. However, in clinical practice, it is difficult to predict this risk because it is affected by medication-related and background factors. This study aimed to identify the risk factors for abnormal glucose metabolism during antipsychotic treatment. We conducted a multicenter, prospective, cohort study in patients with schizophrenia, schizoaffective disorder, or bipolar disorder. Of these patients, those with prediabetes or possible diabetes were excluded. Finally, 706 patients were included in the analysis. The hazard ratio (HR) for each factor was calculated for events of progression to hyperglycemia using time-dependent Cox regression analysis stratified according to facility type and adjusted for available background and drug-related factors. Treatments with olanzapine (HR = 2.06, 95% confidence interval [CI] = 1.05-4.05), clozapine (HR = 4.25, 95% CI = 1.56-11.60), and chlorpromazine (HR = 4.48, 95% CI = 1.21-16.57), overweight and obesity (HR = 1.57, 95% CI = 1.02-2.41), and hypertriglyceridemia (HR = 1.72, 95% CI = 1.02-2.88) were associated with a significantly higher occurrence of hyperglycemic progression. The number and daily dose of antipsychotics were not associated with their occurrence. Our study demonstrated that more careful monitoring is necessary during olanzapine, clozapine, and chlorpromazine treatment because of the higher occurrence of abnormalities in glucose metabolism. Furthermore, patients with obesity or hypertriglyceridemia warrant monitoring for the occurrence of abnormal glucose metabolism, regardless of the type of antipsychotic medication.
科研通智能强力驱动
Strongly Powered by AbleSci AI