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Initially untreated fasting hyperglycaemia in early pregnancy: prognosis according to occurrence of gestational diabetes mellitus after 22 weeks' gestation: a case-control study.

妊娠早期最初未经治疗的空腹高血糖: 根据妊娠 22 周后妊娠期糖尿病发生的预后: 一项病例对照研究。

  • 影响因子:2.85
  • DOI:10.1111/dme.14141
  • 作者列表:"Cosson E","Vicaut E","Sandre-Banon D","Gary F","Pharisien I","Portal JJ","Baudry C","Cussac-Pillegand C","Valensi P","Carbillon L
  • 发表时间:2020-01-01

AIMS:To evaluate the percentage of women with untreated fasting hyperglycaemia in early pregnancy who develop gestational diabetes mellitus after 22 weeks' gestation, the determinants of gestational diabetes development in such women and the prognosis of early fasting hyperglycaemia according to whether the women go on to develop gestational diabetes. METHODS:From a large cohort of women who delivered in our hospital between 2012 and 2016, we retrospectively selected all those who had untreated early fasting hyperglycaemia and separated them into a 'gestational diabetes' and a 'no-gestational diabetes' group according to oral glucose tolerance test results after 22 weeks' gestation. We compared the incidence of a predefined composite outcome (preeclampsia or large-for-gestational-age infant or shoulder dystocia or neonatal hypoglycaemia) in both groups. RESULTS:A total of 268 women (mean fasting plasma glucose 5.3 ± 0.3 mmol/l at a mean ± sd of 10.2 ± 4.2 weeks' gestation) were included. Gestational diabetes developed in 134 women and was independently associated with early fasting plasma glucose ≥ 5.5 mmol/l [odds ratio 3.16 (95% CI 1.57, 6.33)], age ≥ 30 years [odds ratio 2.78 (95% CI 1.46, 5.31)], preconception obesity [odds ratio 2.12 (95% CI 1.11, 4.02)], family history of diabetes [odds ratio 1.87 (95% CI 1.00, 3.50)] and current employment [odds ratio 0.46 (95% CI 0.26, 0.83)]. Despite treatment, gestational diabetes induced a significant increase in the composite outcome as compared to no gestational diabetes (odds ratio 2.16 [95% CI 1.08, 4.34]). The association disappeared after adjustment for risk factors. CONCLUSIONS:Only half of the women with early fasting hyperglycaemia and no specific care subsequently developed gestational diabetes, and these women had a poor prognosis despite gestational diabetes treatment. Poor prognosis was mostly attributable to risk factors. Our results suggest that only women with certain risk factors should be screened for early fasting hyperglycaemia.


目的: 评估妊娠 22 周后发生妊娠期糖尿病的妊娠早期空腹高血糖未治疗妇女的百分比。这些妇女发生妊娠糖尿病的决定因素和早期空腹高血糖的预后根据妇女是否继续发生妊娠糖尿病。 方法: 从 2016 和 2012年在我院分娩的大型队列女性中, 我们回顾性选择所有未经治疗的早期空腹高血糖者,根据妊娠 22 周后口服葡萄糖耐量试验结果将其分为 '妊娠期糖尿病' 和 '非妊娠期糖尿病' 组。我们比较了两组预定义复合结局 (先兆子痫或大于胎龄儿或肩难产或新生儿低血糖) 的发生率。 结果: 共纳入 268 例妇女 (平均空腹血糖 5.3 ± 0.3 mmol/l,平均 ± sd 为 10.2 ± 4.2 周妊娠)。134 例女性发生妊娠糖尿病,与早期空腹血糖 ≥ 5.5 mmol/l 独立相关 [比值比 3.16 (95% CI 1.57,6.33)], 年龄 ≥ 30 岁 [比值比 2.78 (95% CI 1.46,5.31)],孕前肥胖 [比值比 2.12 (95% CI 1.11,4.02)],糖尿病家族史 [比值比 1.87 (95% CI 1.00,3.50)] 和目前就业 [比值比 0.46 (95% CI 0.26,0.83)]。尽管接受了治疗,妊娠糖尿病诱导的复合结局与无妊娠糖尿病相比显著增加 (比值比 2.16 [95% CI 1.08,4.34])。校正危险因素后,相关性消失。 结论: 早期空腹高血糖且无特殊护理的妇女中只有一半随后发生妊娠糖尿病,尽管接受了妊娠糖尿病治疗,但这些妇女的预后较差。预后不良主要归因于危险因素。我们的研究结果表明,只有具有某些危险因素的女性才应该筛查早期空腹高血糖。



来源期刊:Acta Diabetologica
作者列表:["Benhalima, Katrien","Crombrugge, Paul","Moyson, Carolien","Verhaeghe, Johan","Vandeginste, Sofie","Verlaenen, Hilde","Vercammen, Chris","Maes, Toon","Dufraimont, Els","Block, Christophe","Jacquemyn, Yves","Mekahli, Farah","Clippel, Katrien","Den Bruel, Annick","Loccufier, Anne","Laenen, Annouschka","Minschart, Caro","Devlieger, Roland","Mathieu, Chantal"]

METHODS:Aims We aimed to develop a prediction model based on clinical and biochemical variables for gestational diabetes mellitus (GDM) based on the 2013 World Health Organization (WHO) criteria. Methods A total of 1843 women from a Belgian multi-centric prospective cohort study underwent universal screening for GDM. Using multivariable logistic regression analysis, a model to predict GDM was developed based on variables from early pregnancy. The performance of the model was assessed by receiver-operating characteristic (AUC) analysis. To account for over-optimism, an eightfold cross-validation was performed. The accuracy was compared with two validated models (van Leeuwen and Teede). Results A history with a first degree relative with diabetes, a history of smoking before pregnancy, a history of GDM, Asian origin, age, height and BMI were independent predictors for GDM with an AUC of 0.72 [95% confidence interval (CI) 0.69–0.76)]; after cross-validation, the AUC was 0.68 (95% CI 0.64–0.72). Adding biochemical variables, a history of a first degree relative with diabetes, a history of GDM, non-Caucasian origin, age, height, weight, fasting plasma glucose, triglycerides and HbA_1c were independent predictors for GDM, with an AUC of the model of 0.76 (95% CI 0.72–0.79); after cross-validation, the AUC was 0.72 (95% CI 0.66–0.78), compared to an AUC of 0.67 (95% CI 0.63–0.71) using the van Leeuwen model and an AUC of 0.66 (95% CI 0.62–0.70) using the Teede model. Conclusions A model based on easy to use variables in early pregnancy has a moderate accuracy to predict GDM based on the 2013 WHO criteria.

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来源期刊:Nature Medicine
作者列表:["Artzi, Nitzan Shalom","Shilo, Smadar","Hadar, Eran","Rossman, Hagai","Barbash-Hazan, Shiri","Ben-Haroush, Avi","Balicer, Ran D.","Feldman, Becca","Wiznitzer, Arnon","Segal, Eran"]

METHODS:Leveraging the availability of nationwide electronic health records from over 500,000 pregnancies in Israel, a machine-learning approach offers an alternative means of predicting gestational diabetes at high accuracy in the early stages of pregnancy. Gestational diabetes mellitus (GDM) poses increased risk of short- and long-term complications for mother and offspring^ 1 – 4 . GDM is typically diagnosed at 24–28 weeks of gestation, but earlier detection is desirable as this may prevent or considerably reduce the risk of adverse pregnancy outcomes^ 5 , 6 . Here we used a machine-learning approach to predict GDM on retrospective data of 588,622 pregnancies in Israel for which comprehensive electronic health records were available. Our models predict GDM with high accuracy even at pregnancy initiation (area under the receiver operating curve (auROC) = 0.85), substantially outperforming a baseline risk score (auROC = 0.68). We validated our results on both a future validation set and a geographical validation set from the most populated city in Israel, Jerusalem, thereby emulating real-world performance. Interrogating our model, we uncovered previously unreported risk factors, including results of previous pregnancy glucose challenge tests. Finally, we devised a simpler model based on just nine questions that a patient could answer, with only a modest reduction in accuracy (auROC = 0.80). Overall, our models may allow early-stage intervention in high-risk women, as well as a cost-effective screening approach that could avoid the need for glucose tolerance tests by identifying low-risk women. Future prospective studies and studies on additional populations are needed to assess the real-world clinical utility of the model.

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翻译标题与摘要 下载文献
作者列表:["Lowes DJ","Hevener KE","Peters BM"]

METHODS::Repurposing of currently approved medications is an attractive option for the development of novel treatment strategies against physiological and infectious diseases. The antidiabetic sulfonylurea glyburide has demonstrated off-target capacity to inhibit activation of the NLRP3 inflammasome in a variety of disease models, including vaginal candidiasis, caused primarily by the fungal pathogen Candida albicans Therefore, we sought to determine which of the currently approved sulfonylurea drugs prevent the release of interleukin 1β (IL-1β), a major inflammasome effector, during C. albicans challenge of the human macrophage-like THP1 cell line. Findings revealed that the second-generation antidiabetics (glyburide, glisoxepide, gliquidone, and glimepiride), which exhibit greater antidiabetic efficacy than prior iterations, demonstrated anti-inflammatory effects with various degrees of potency as determined by calculation of 50% inhibitory concentrations (IC50s). These same compounds were also effective in reducing IL-1β release during noninfectious inflammasome activation (e.g., induced by lipopolysaccharide [LPS] plus ATP), suggesting that their anti-inflammatory activity is not specific to C. albicans challenge. Moreover, treatment with sulfonylurea drugs did not impact C. albicans growth and filamentation or THP1 viability. Finally, the use of ECE1 and Candidalysin deletion mutants, along with isogenic NLRP3-/- cells, demonstrated that both Candidalysin and NLRP3 are required for IL-1β secretion, further confirming that sulfonylureas suppress inflammasome signaling. Moreover, challenge of THP1 cells with synthetic Candidalysin peptide demonstrated that this toxin is sufficient to activate the inflammasome. Treatment with the experimental inflammasome inhibitor MCC950 led to similar blockade of IL-1β release, suggesting that Candidalysin-mediated inflammasome activation can be inhibited independently of potassium efflux. Together, these results demonstrate that the second-generation antidiabetic sulfonylureas retain anti-inflammatory activity and may be considered for repurposing against immunopathological diseases, including vaginal candidiasis.