Cooray Shamil D, Boyle Jacqueline A, Soldatos Georgia, Thangaratinam Shakila, Teede Helena J
Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Diabetes Unit, Monash Health, Clayton, Victoria, Australia.
Semin Reprod Med. 2020 Nov;38(6):384-388. doi: 10.1055/s-0041-1723778. Epub 2021 Mar 1.
Gestational diabetes mellitus (GDM) is common and is associated with an increased risk of adverse pregnancy outcomes. However, the prevailing one-size-fits-all approach that treats all women with GDM as having equivalent risk needs revision, given the clinical heterogeneity of GDM, the limitations of a population-based approach to risk, and the need to move beyond a glucocentric focus to address other intersecting risk factors. To address these challenges, we propose using a clinical prediction model for adverse pregnancy outcomes to guide risk-stratified approaches to treatment tailored to the individual needs of women with GDM. This will allow preventative and therapeutic interventions to be delivered to those who will maximally benefit, sparing expense, and harm for those at a lower risk.
妊娠期糖尿病(GDM)很常见,且与不良妊娠结局风险增加相关。然而,鉴于GDM的临床异质性、基于人群的风险评估方法的局限性,以及需要超越以血糖为中心的关注点来解决其他交叉风险因素,目前将所有GDM女性视为具有同等风险的一刀切方法需要修正。为应对这些挑战,我们建议使用针对不良妊娠结局的临床预测模型,以指导根据GDM女性个体需求进行风险分层的治疗方法。这将使预防和治疗干预能够提供给那些将最大程度受益的人,同时为低风险人群节省费用并避免伤害。