Lim Siew, Takele Wubet Worku, Vesco Kimberly K, Redman Leanne M, Hannah Wesley, Bonham Maxine P, Chen Mingling, Chivers Sian C, Fawcett Andrea J, Grieger Jessica A, Habibi Nahal, Leung Gloria K W, Liu Kai, Mekonnen Eskedar Getie, Pathirana Maleesa, Quinteros Alejandra, Taylor Rachael, Ukke Gebresilasea G, Zhou Shao J, Josefson Jami
Eastern Health Clinical School, Monash University, Melbourne, Victoria, Australia.
Kaiser Permanente Northwest, Kaiser Permanente Center for Health Research, Oakland, USA.
Commun Med (Lond). 2023 Oct 5;3(1):137. doi: 10.1038/s43856-023-00366-x.
Precision prevention involves using the unique characteristics of a particular group to determine their responses to preventive interventions. This study aimed to systematically evaluate the participant characteristics associated with responses to interventions in gestational diabetes mellitus (GDM) prevention.
We searched MEDLINE, EMBASE, and Pubmed to identify lifestyle (diet, physical activity, or both), metformin, myoinositol/inositol and probiotics interventions of GDM prevention published up to May 24, 2022.
From 10347 studies, 116 studies (n = 40940 women) are included. Physical activity results in greater GDM reduction in participants with a normal body mass index (BMI) at baseline compared to obese BMI (risk ratio, 95% confidence interval: 0.06 [0.03, 0.14] vs 0.68 [0.26, 1.60]). Combined diet and physical activity interventions result in greater GDM reduction in participants without polycystic ovary syndrome (PCOS) than those with PCOS (0.62 [0.47, 0.82] vs 1.12 [0.78-1.61]) and in those without a history of GDM than those with unspecified GDM history (0.62 [0.47, 0.81] vs 0.85 [0.76, 0.95]). Metformin interventions are more effective in participants with PCOS than those with unspecified status (0.38 [0.19, 0.74] vs 0.59 [0.25, 1.43]), or when commenced preconception than during pregnancy (0.21 [0.11, 0.40] vs 1.15 [0.86-1.55]). Parity, history of having a large-for-gestational-age infant or family history of diabetes have no effect on intervention responses.
GDM prevention through metformin or lifestyle differs according to some individual characteristics. Future research should include trials commencing preconception and provide results disaggregated by a priori defined participant characteristics including social and environmental factors, clinical traits, and other novel risk factors to predict GDM prevention through interventions.
精准预防涉及利用特定群体的独特特征来确定他们对预防干预措施的反应。本研究旨在系统评估与妊娠期糖尿病(GDM)预防干预反应相关的参与者特征。
我们检索了MEDLINE、EMBASE和Pubmed,以确定截至2022年5月24日发表的关于GDM预防的生活方式(饮食、体育活动或两者兼有)、二甲双胍、肌醇/肌醇和益生菌干预措施。
从10347项研究中,纳入了116项研究(n = 40940名女性)。与肥胖体重指数(BMI)的参与者相比,体育活动使基线时体重指数正常(BMI)的参与者的GDM降低幅度更大(风险比,95%置信区间:0.06 [0.03, 0.14] 对 0.68 [0.26, 1.60])。饮食和体育活动相结合的干预措施使无多囊卵巢综合征(PCOS)的参与者的GDM降低幅度大于患有PCOS的参与者(0.62 [0.47, 0.82] 对 1.12 [0.78 - 1.61]),且使无GDM病史的参与者的GDM降低幅度大于有未明确GDM病史的参与者(0.62 [0.47, 0.81] 对 0.85 [0.76, 0.95])。二甲双胍干预措施对患有PCOS的参与者比未明确状态的参与者更有效(0.38 [0.1., 0.74] 对 0.59 [0.25, 1.43]),或在孕前开始时比孕期开始时更有效(0.21 [0.11, 0.40] 对 1.15 [0.86 - 1.55])。产次、巨大儿病史或糖尿病家族史对干预反应无影响。
通过二甲双胍或生活方式预防GDM因个体特征而异。未来的研究应包括孕前开始的试验,并按预先定义的参与者特征(包括社会和环境因素、临床特征及其他新的危险因素)分类提供结果,以预测通过干预预防GDM的情况。