Roberts Emmert, Jones Leah, Blackman Alexandra, Dewhurst Thomas, Matcham Faith, Kan Carol, Mustafa Omar, Thomas Toral, Siddiqi Najma, Ismail Khalida, Price Hermione
Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK.
South London and Maudsley NHS Foundation Trust, Denmark Hill, London, UK.
Gen Hosp Psychiatry. 2017 Mar-Apr;45:76-84. doi: 10.1016/j.genhosppsych.2017.01.003. Epub 2017 Jan 11.
To systematically determine the prevalence of diabetes mellitus (DM), impaired fasting glucose (IFG), and impaired glucose tolerance (IGT) in psychiatric inpatients and explore the impact of patient and study variables on prevalence estimates.
We searched EMBASE, PsychINFO, Medline and CENTRAL from database inception until 1st December 2015. We included studies of any design reporting prevalence of abnormal glucose metabolism in any adult psychiatric inpatients. We conducted a random effects meta-analysis to generate pooled prevalence estimates. Chi-square tests compared differences within categorical variables (inpatient setting, continent of study and patient diagnostic category) and Spearman's correlation analyses assessed the impact of linear variables (age, year of data collection and study quality). Study quality was assessed using an adapted Newcastle-Ottawa Scale.
36 study reports representing 42 unique cohorts were included. Across all studies prevalence of unspecified type DM was 10% (95%CI: 9-12), of T1DM was 1% (0-1), of T2DM was 9% (6-13), of IFG 18% (8-28), and of IGT was 22% (16-28). These estimates were not affected by study quality.
All estimates are higher compared to the general population. Mental health professionals should be aware of this elevated prevalence to improve screening and management of abnormal glucose metabolism.
系统地确定精神科住院患者中糖尿病(DM)、空腹血糖受损(IFG)和糖耐量受损(IGT)的患病率,并探讨患者及研究变量对患病率估计值的影响。
我们检索了EMBASE、PsychINFO、Medline和CENTRAL数据库,检索时间从建库至2015年12月1日。我们纳入了任何设计的、报告成年精神科住院患者中糖代谢异常患病率的研究。我们进行了随机效应荟萃分析以生成合并患病率估计值。卡方检验用于比较分类变量(住院环境、研究所在大洲和患者诊断类别)之间的差异,Spearman相关分析用于评估线性变量(年龄、数据收集年份和研究质量)的影响。研究质量使用改编后的纽卡斯尔-渥太华量表进行评估。
纳入了代表42个独立队列的36篇研究报告。在所有研究中,未指定类型糖尿病的患病率为10%(95%CI:9-12),1型糖尿病为1%(0-1),2型糖尿病为9%(6-13),空腹血糖受损为18%(8-28),糖耐量受损为22%(16-28)。这些估计值不受研究质量的影响。
与普通人群相比,所有估计值都更高。精神卫生专业人员应意识到这种较高的患病率,以改善对糖代谢异常的筛查和管理。