A comparison of the International Association of Diabetes and Pregnancy Study Groups Recommendations with Former Criteria for Diagnosing Gestational Diabetes Mellitus: A Retrospective Cohort Study

Telejko, Beata; Kuźmicki, Mariusz; Kretowska, Monika Zbucka; Szamatowicz, Jacek; Krętowski, Adam

doi:10.1055/a-0630-5118

Cited by 4 publications

(2 citation statements)

References 46 publications

(50 reference statements)

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“…The impaired metamorphosis of the Malpighian tubules affected excretion, leading to ascites. Our previous article also revealed that silkworm MMP1 could promote the development of tracheal tissue by degrading DE-cadherin and Integrin b1 [37]. Similar effects were also observed in other insects during the inhibition of MMPs functions.…”

Section: Discussionsupporting

confidence: 65%

The dual roles of three MMPs and TIMP in innate immunity and metamorphosis in the silkworm, Bombyx mori

et al. 2021

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The matrix metalloproteinases (MMPs) and their endogenous inhibitory factors, tissue inhibitors of metalloproteinases (TIMPs), are implicated in many diseases. However, the mammalian MMPs (> 20) and TIMPs (> 3) are larger in number, and so little is known about their individual roles in organisms. Hence, we have systematically studied the roles of all three MMPs and one TIMP in silkworm innate immunity and metamorphosis. We observed that MMPs and TIMP are highly expressed during the pupation stage of the silkworms, and TIMP could interact with each MMPs. High‐activity MMPs and low‐activity TIMP may enhance the infection of B. mori nucleopolyhedrovirus in both in vitro and in vivo. MMPs’ knockout and TIMP overexpression delayed silkworm development and even caused death. Interestingly, different MMPs’ knockout led to different tubular tissue dysplasia. These findings provide insights into the conserved functions of MMPs and TIMP in human organogenesis and immunoregulation.

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Section: Discussionsupporting

confidence: 65%

The dual roles of three MMPs and TIMP in innate immunity and metamorphosis in the silkworm, Bombyx mori

et al. 2021

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“…At present, the occurrence of macrosomia is related to factors such as genes [ 5 ], pre-pregnancy body mass index [ 6 ], excessive weight gain during pregnancy [ 7 ], and gestational diabetes mellitus [ 8 ], but few studies have built a high-accuracy prediction model based on these factors. At present, clinical workers often use the Hadlock formula built into ultrasonic instruments to predict fetal body mass [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

Effective Macrosomia Prediction Using Random Forest Algorithm

Wang

et al. 2022

IJERPH

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(1) Background: Macrosomia is prevalent in China and worldwide. The current method of predicting macrosomia is ultrasonography. We aimed to develop new predictive models for recognizing macrosomia using a random forest model to improve the sensitivity and specificity of macrosomia prediction; (2) Methods: Based on the Shandong Multi-Center Healthcare Big Data Platform, we collected the prenatal examination and delivery data from June 2017 to May 2018 in Jinan, including the macrosomia and normal-weight newborns. We constructed a random forest model and a logistic regression model for predicting macrosomia. We compared the validity and predictive value of these two methods and the traditional method; (3) Results: 405 macrosomia cases and 3855 normal-weight newborns fit the selection criteria and 405 pairs of macrosomia and control cases were brought into the random forest model and logistic regression model. On the basis of the average decrease of the Gini coefficient, the order of influencing factors was: interspinal diameter, transverse outlet, intercristal diameter, sacral external diameter, pre-pregnancy body mass index, age, the number of pregnancies, and the parity. The sensitivity, specificity, and area under curve were 91.7%, 91.7%, and 95.3% for the random forest model, and 56.2%, 82.6%, and 72.0% for logistic regression model, respectively; the sensitivity and specificity were 29.6% and 97.5% for the ultrasound; (4) Conclusions: A random forest model based on the maternal information can be used to predict macrosomia accurately during pregnancy, which provides a scientific basis for developing rapid screening and diagnosis tools for macrosomia.

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Association between the history of abortion and gestational diabetes mellitus: A meta-analysis

et al. 2022

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A comparison of the International Association of Diabetes and Pregnancy Study Groups Recommendations with Former Criteria for Diagnosing Gestational Diabetes Mellitus: A Retrospective Cohort Study

Abstract: The introduction of the IADPS criteria did not increase the prevalence of GDM, but increased the number of patients with fasting hyperglycemia. Twelve weeks postpartum the patients with prior GDM had significantly higher post-load glucose levels than the healthy women.

Cited by 4 publications

References 46 publications

The dual roles of three MMPs and TIMP in innate immunity and metamorphosis in the silkworm, Bombyx mori

The dual roles of three MMPs and TIMP in innate immunity and metamorphosis in the silkworm, Bombyx mori

Effective Macrosomia Prediction Using Random Forest Algorithm

Association between the history of abortion and gestational diabetes mellitus: A meta-analysis

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