Emily C. C. Smith, Sri Mahavir Agarwal, Kristoffer J. Panganiban, Kateryna Maksyutynska, Jonathan Monteiro, Jiwon Lee, Femin Prasad, Andrew Ji, Divia Shah, Samantha Cavalier, Reva U. Prabhune, Emril Radoncic, Zilu Yang, Kaitlin Fuller, Michael J. McCarthy, Tyler R. Prestwood, Jacob S. Ballon, Christoph U. Correll, Margaret K. Hahn, Zachary Freyberg
{"title":"抗精神病药物与葡萄糖稳态失调","authors":"Emily C. C. Smith, Sri Mahavir Agarwal, Kristoffer J. Panganiban, Kateryna Maksyutynska, Jonathan Monteiro, Jiwon Lee, Femin Prasad, Andrew Ji, Divia Shah, Samantha Cavalier, Reva U. Prabhune, Emril Radoncic, Zilu Yang, Kaitlin Fuller, Michael J. McCarthy, Tyler R. Prestwood, Jacob S. Ballon, Christoph U. Correll, Margaret K. Hahn, Zachary Freyberg","doi":"10.1001/jamapsychiatry.2025.2240","DOIUrl":null,"url":null,"abstract":"ImportanceAntipsychotic drug (AP)–induced glucose homeostasis changes are often attributed to AP-induced weight gain. Nevertheless, dysregulated glucose control can occur independently of weight gain.ObjectiveTo examine the association between AP use and glucose homeostasis while considering weight gain propensity, medication type, and treatment duration.Data SourcesMEDLINE, Embase, PsychINFO, CINAHL, the Cochrane Central Register of Controlled Trials (CENTRAL), and Web of Science were searched from inception through February 3, 2025.Study SelectionBlinded randomized clinical trials (RCTs) comparing changes in glucose homeostasis–related parameters between patients with severe mental illness or healthy volunteers assigned to AP or control (placebo or no intervention) groups were included. Studies were limited to English-language human studies without restrictions on study length, AP type, or previous AP exposure. Of 22 773 unique citations, 163 RCTs met inclusion criteria, with 127 studies included in the meta-analysis.Data Extraction and SynthesisEach article was screened independently by 2 authors using predefined inclusion and exclusion criteria. Data extraction and risk of bias assessment were completed using a standardized spreadsheet. Data were analyzed via random-effects meta-analysis, with subgroup analyses for diagnosis, study length, AP type, age, concomitant medication use, and previous AP exposure. Metaregressions identified covariate effects. Data analysis was completed from October 2023 to February 2025.Main Outcomes and MeasuresPrimary study outcomes were changes in fasting glucose, fasting insulin, and glycated hemoglobin (HbA<jats:sub>1<jats:sc>c</jats:sc></jats:sub>) following AP treatment. Secondary outcomes included any other glucose metabolism–related parameters including, but not limited to, insulin resistance and hyperglycemia.ResultsA total of 35 952 AP-treated patients and 19 010 placebo-treated patients were included in the qualitative synthesis, while 28 975 AP-treated and 15 101 placebo-treated patients were included in the meta-analysis. AP use was associated with significantly increased fasting glucose (mean difference [MD], 0.72 mg/dL; 95% CI, 0.54-1.08 [to convert to millimoles per liter, multiply by 0.0555]; <jats:italic>P</jats:italic> &amp;lt; .001), fasting insulin (MD, 1.94 μIU/mL; 95% CI, 1.28-2.61 [to convert to picomoles per liter, multiply by 6]; <jats:italic>P</jats:italic> &amp;lt; .001), glycated hemoglobin (MD, 0.04%; 95% CI, 0.02%-0.05% [to convert to proportion of total hemoglobin, multiply by 0.01]; <jats:italic>P</jats:italic> &amp;lt; .001), and hyperglycemia (odds ratio, 1.29; 95% CI, 1.04-1.59; <jats:italic>P</jats:italic> = .02) vs placebo. Findings were corroborated in healthy volunteers. Subgroup analyses suggested that AP type, diagnosis, age, concomitant medication use, and previous AP exposure do not consistently affect dysglycemia risk. In metaregression analyses, AP-associated dysregulations in glucose homeostasis were independent of study length and AP dose.Conclusions and RelevanceIn this systematic review and meta-analysis, results indicate that AP exposure significantly disrupts glucose homeostasis independent of exposure time, dose, diagnosis, and weight gain propensity. Increased awareness of AP-induced dysregulations in glucose homeostasis alongside ongoing metabolic monitoring and potential treatment is warranted.","PeriodicalId":14800,"journal":{"name":"JAMA Psychiatry","volume":"34 1","pages":""},"PeriodicalIF":17.1000,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Antipsychotic Drugs and Dysregulated Glucose Homeostasis\",\"authors\":\"Emily C. C. Smith, Sri Mahavir Agarwal, Kristoffer J. Panganiban, Kateryna Maksyutynska, Jonathan Monteiro, Jiwon Lee, Femin Prasad, Andrew Ji, Divia Shah, Samantha Cavalier, Reva U. Prabhune, Emril Radoncic, Zilu Yang, Kaitlin Fuller, Michael J. McCarthy, Tyler R. Prestwood, Jacob S. Ballon, Christoph U. Correll, Margaret K. Hahn, Zachary Freyberg\",\"doi\":\"10.1001/jamapsychiatry.2025.2240\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ImportanceAntipsychotic drug (AP)–induced glucose homeostasis changes are often attributed to AP-induced weight gain. Nevertheless, dysregulated glucose control can occur independently of weight gain.ObjectiveTo examine the association between AP use and glucose homeostasis while considering weight gain propensity, medication type, and treatment duration.Data SourcesMEDLINE, Embase, PsychINFO, CINAHL, the Cochrane Central Register of Controlled Trials (CENTRAL), and Web of Science were searched from inception through February 3, 2025.Study SelectionBlinded randomized clinical trials (RCTs) comparing changes in glucose homeostasis–related parameters between patients with severe mental illness or healthy volunteers assigned to AP or control (placebo or no intervention) groups were included. Studies were limited to English-language human studies without restrictions on study length, AP type, or previous AP exposure. Of 22 773 unique citations, 163 RCTs met inclusion criteria, with 127 studies included in the meta-analysis.Data Extraction and SynthesisEach article was screened independently by 2 authors using predefined inclusion and exclusion criteria. Data extraction and risk of bias assessment were completed using a standardized spreadsheet. Data were analyzed via random-effects meta-analysis, with subgroup analyses for diagnosis, study length, AP type, age, concomitant medication use, and previous AP exposure. Metaregressions identified covariate effects. Data analysis was completed from October 2023 to February 2025.Main Outcomes and MeasuresPrimary study outcomes were changes in fasting glucose, fasting insulin, and glycated hemoglobin (HbA<jats:sub>1<jats:sc>c</jats:sc></jats:sub>) following AP treatment. Secondary outcomes included any other glucose metabolism–related parameters including, but not limited to, insulin resistance and hyperglycemia.ResultsA total of 35 952 AP-treated patients and 19 010 placebo-treated patients were included in the qualitative synthesis, while 28 975 AP-treated and 15 101 placebo-treated patients were included in the meta-analysis. AP use was associated with significantly increased fasting glucose (mean difference [MD], 0.72 mg/dL; 95% CI, 0.54-1.08 [to convert to millimoles per liter, multiply by 0.0555]; <jats:italic>P</jats:italic> &amp;lt; .001), fasting insulin (MD, 1.94 μIU/mL; 95% CI, 1.28-2.61 [to convert to picomoles per liter, multiply by 6]; <jats:italic>P</jats:italic> &amp;lt; .001), glycated hemoglobin (MD, 0.04%; 95% CI, 0.02%-0.05% [to convert to proportion of total hemoglobin, multiply by 0.01]; <jats:italic>P</jats:italic> &amp;lt; .001), and hyperglycemia (odds ratio, 1.29; 95% CI, 1.04-1.59; <jats:italic>P</jats:italic> = .02) vs placebo. Findings were corroborated in healthy volunteers. Subgroup analyses suggested that AP type, diagnosis, age, concomitant medication use, and previous AP exposure do not consistently affect dysglycemia risk. In metaregression analyses, AP-associated dysregulations in glucose homeostasis were independent of study length and AP dose.Conclusions and RelevanceIn this systematic review and meta-analysis, results indicate that AP exposure significantly disrupts glucose homeostasis independent of exposure time, dose, diagnosis, and weight gain propensity. Increased awareness of AP-induced dysregulations in glucose homeostasis alongside ongoing metabolic monitoring and potential treatment is warranted.\",\"PeriodicalId\":14800,\"journal\":{\"name\":\"JAMA Psychiatry\",\"volume\":\"34 1\",\"pages\":\"\"},\"PeriodicalIF\":17.1000,\"publicationDate\":\"2025-08-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"JAMA Psychiatry\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1001/jamapsychiatry.2025.2240\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHIATRY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"JAMA Psychiatry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1001/jamapsychiatry.2025.2240","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHIATRY","Score":null,"Total":0}
引用次数: 0
摘要
抗精神病药物(AP)诱导的葡萄糖稳态改变通常归因于AP诱导的体重增加。然而,血糖控制失调可以独立于体重增加而发生。目的在考虑体重增加倾向、药物类型和治疗时间的情况下,探讨AP使用与葡萄糖稳态的关系。数据来源medline, Embase, PsychINFO, CINAHL, Cochrane Central Register of Controlled Trials (Central)和Web of Science从成立到2025年2月3日进行了检索。研究选择:采用盲法随机临床试验(rct),比较重度精神疾病患者与被分配到AP组或对照组(安慰剂组或无干预组)的健康志愿者之间葡萄糖稳态相关参数的变化。研究仅限于英语人类研究,没有研究长度、AP类型或先前AP暴露的限制。在22773次引用中,163项rct符合纳入标准,其中127项研究纳入meta分析。数据提取和综合每篇文章由2位作者按照预先确定的纳入和排除标准独立筛选。使用标准化电子表格完成数据提取和偏倚风险评估。通过随机效应荟萃分析对数据进行分析,并对诊断、研究时间、AP类型、年龄、伴随用药和既往AP暴露进行亚组分析。元回归确定了协变量效应。数据分析时间为2023年10月至2025年2月。主要结果和测量主要研究结果是AP治疗后空腹血糖、空腹胰岛素和糖化血红蛋白(HbA1c)的变化。次要结局包括任何其他葡萄糖代谢相关参数,包括但不限于胰岛素抵抗和高血糖。结果定性综合共纳入35 952例ap治疗组和19 010例安慰剂治疗组,meta分析共纳入28 975例ap治疗组和15 101例安慰剂治疗组。AP使用与空腹血糖显著升高相关(平均差值[MD], 0.72 mg/dL; 95% CI, 0.54-1.08[换算为毫摩尔/升,乘以0.0555];P <;。001),空腹胰岛素(MD, 1.94 μIU/mL; 95% CI, 1.28-2.61[换算成皮摩尔/升,乘以6];P <;。001),糖化血红蛋白(MD, 0.04%; 95% CI, 0.02%-0.05%[转化为总血红蛋白的比例,乘以0.01];P <;。001)和高血糖(优势比,1.29;95% CI, 1.04-1.59; P = 0.02)。研究结果在健康志愿者中得到了证实。亚组分析表明,AP类型、诊断、年龄、伴随用药和既往AP暴露并不一致地影响血糖异常的风险。在meta回归分析中,AP相关的葡萄糖稳态失调与研究时间和AP剂量无关。结论和相关性在这项系统回顾和荟萃分析中,结果表明AP暴露显著破坏葡萄糖稳态,与暴露时间、剂量、诊断和体重增加倾向无关。在持续的代谢监测和潜在治疗的同时,增加对ap诱导的葡萄糖稳态失调的认识是有必要的。
Antipsychotic Drugs and Dysregulated Glucose Homeostasis
ImportanceAntipsychotic drug (AP)–induced glucose homeostasis changes are often attributed to AP-induced weight gain. Nevertheless, dysregulated glucose control can occur independently of weight gain.ObjectiveTo examine the association between AP use and glucose homeostasis while considering weight gain propensity, medication type, and treatment duration.Data SourcesMEDLINE, Embase, PsychINFO, CINAHL, the Cochrane Central Register of Controlled Trials (CENTRAL), and Web of Science were searched from inception through February 3, 2025.Study SelectionBlinded randomized clinical trials (RCTs) comparing changes in glucose homeostasis–related parameters between patients with severe mental illness or healthy volunteers assigned to AP or control (placebo or no intervention) groups were included. Studies were limited to English-language human studies without restrictions on study length, AP type, or previous AP exposure. Of 22 773 unique citations, 163 RCTs met inclusion criteria, with 127 studies included in the meta-analysis.Data Extraction and SynthesisEach article was screened independently by 2 authors using predefined inclusion and exclusion criteria. Data extraction and risk of bias assessment were completed using a standardized spreadsheet. Data were analyzed via random-effects meta-analysis, with subgroup analyses for diagnosis, study length, AP type, age, concomitant medication use, and previous AP exposure. Metaregressions identified covariate effects. Data analysis was completed from October 2023 to February 2025.Main Outcomes and MeasuresPrimary study outcomes were changes in fasting glucose, fasting insulin, and glycated hemoglobin (HbA1c) following AP treatment. Secondary outcomes included any other glucose metabolism–related parameters including, but not limited to, insulin resistance and hyperglycemia.ResultsA total of 35 952 AP-treated patients and 19 010 placebo-treated patients were included in the qualitative synthesis, while 28 975 AP-treated and 15 101 placebo-treated patients were included in the meta-analysis. AP use was associated with significantly increased fasting glucose (mean difference [MD], 0.72 mg/dL; 95% CI, 0.54-1.08 [to convert to millimoles per liter, multiply by 0.0555]; P &lt; .001), fasting insulin (MD, 1.94 μIU/mL; 95% CI, 1.28-2.61 [to convert to picomoles per liter, multiply by 6]; P &lt; .001), glycated hemoglobin (MD, 0.04%; 95% CI, 0.02%-0.05% [to convert to proportion of total hemoglobin, multiply by 0.01]; P &lt; .001), and hyperglycemia (odds ratio, 1.29; 95% CI, 1.04-1.59; P = .02) vs placebo. Findings were corroborated in healthy volunteers. Subgroup analyses suggested that AP type, diagnosis, age, concomitant medication use, and previous AP exposure do not consistently affect dysglycemia risk. In metaregression analyses, AP-associated dysregulations in glucose homeostasis were independent of study length and AP dose.Conclusions and RelevanceIn this systematic review and meta-analysis, results indicate that AP exposure significantly disrupts glucose homeostasis independent of exposure time, dose, diagnosis, and weight gain propensity. Increased awareness of AP-induced dysregulations in glucose homeostasis alongside ongoing metabolic monitoring and potential treatment is warranted.
期刊介绍:
JAMA Psychiatry is a global, peer-reviewed journal catering to clinicians, scholars, and research scientists in psychiatry, mental health, behavioral science, and related fields. The Archives of Neurology & Psychiatry originated in 1919, splitting into two journals in 1959: Archives of Neurology and Archives of General Psychiatry. In 2013, these evolved into JAMA Neurology and JAMA Psychiatry, respectively. JAMA Psychiatry is affiliated with the JAMA Network, a group of peer-reviewed medical and specialty publications.