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A Markov chain probability model of glucose tolerance in post gestational diabetes follow up study

机译:后妊娠期糖尿病术后葡萄糖耐量的马尔可夫链概率模型跟进研究

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Women with gestational diabetes mellitus (GDM) are at increased risk of developing type 2 diabetes (T2DM). However, the degree of risk and the timing of progression from normal to a pre-diabetic or diabetic state have not been clearly quantified. In this study we analyzed data from a longitudinal study on a group of women with a history of GDM, that were inserted in an oral glucose tolerance test (OGTT) annual screening program and followed up for 5 years after partum. A three state Markov chain model was proposed to represent the dynamics of changes between metabolic states. We used the data to empirically estimate the one-year transition parameters of the model and make predictions about the possibility that women with normal glucose tolerance or impaired glucose metabolism just after partum will develop overt T2DM in three or five years. Results show that subjects with an impaired glucose metabolism few months after partum will hardly (10%) be in the same state after three years. Women with normal glucose tolerance after partum will have a high probability (0.80) to be in the same state three years after.
机译:妊娠期糖尿病(GDM)的妇女正在增加2型糖尿病(T2DM)的风险。然而,尚未明确定量风险程度和从正常到糖尿病患者或糖尿病状态的进展的时序。在这项研究中,我们分析了纵向研究的数据,该数据是一群患有GDM历史的妇女,这些妇女被插入口腔葡萄糖耐量试验(OGTT)年度筛查计划中,并在Partum之后随访5年。提出了三个州马尔可夫链模型,以代表代谢态之间的变化的动态。我们将数据用于经验估算模型的一年转换参数,并使预测在Partum之后,在Partum之后,在Partum之后的葡萄糖代谢受损的可能性将在三年或五年内培养明显的T2DM。结果表明,葡萄糖代谢受损的受试者几个月后几乎没有(10%)在三年后处于同一国家。 Partum后,葡萄糖耐量正常的妇女将在三年后在同一州具有高概率(0.80)。

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