Predicting recurrent gestational diabetes mellitus using artificial intelligence models: a retrospective cohort study.

BACKGROUND: We aimed to develop novel artificial intelligence (AI) models based on early pregnancy features to forecast the likelihood of recurrent gestational diabetes mellitus (GDM) before 14 weeks of gestation in subsequent pregnancies. METHODS: This study involved a cohort of 588 women who had two consecutive singleton deliveries and were diagnosed with GDM during the index pregnancy. The least absolute shrinkage and selection operator (LASSO) regression analysis were used for feature selection. 5 AI algorithms, namely support vector machine (SVM), extreme gradient boosting (XGB), light gradient boosting (LGB), decision tree classifier (DTC), and random forest (RF) classifier, and traditional multivariate logistic regression (LR) model, were employed to construct predictive models for recurrent GDM. RESULTS: 326 (55.4%) experienced GDM recurrence in subsequent pregnancy. In the training set (67% of the study sample), 13 features were selected for AI models construction. In the testing set (33% of the study sample), the AI models (LGB, RF, and XGB) exhibited outstanding discrimination, with AUROC values of 0.942, 0.936, and 0.924, respectively. The traditional LR model showed moderate discrimination (AUROC = 0.696). LGB, RF, and XGB models also demonstrated excellent calibration, while other models indicated a lack of fit. All AI models showed superior overall net benefits, with LGB, RF, and XGB outperforming the others. CONCLUSIONS: The proposed LGB model demonstrated exceptional accuracy, excellent calibration, and superior overall net benefits. These advancements have the potential to assist healthcare professionals in advising women with a history of GDM and in developing preventive strategies to mitigate the adverse effects on maternal and fetal well-being.

Photoactive Poly-L-Lysine gel with resveratrol-magnesium metal polyphenol network: A promising strategy for preventing tracheal anastomotic complications following surgery.

Postoperative complications at the anastomosis site following tracheal resection are a prevalent and substantial concern. However, most existing solutions primarily focus on managing symptoms, with limited attention given to proactively preventing the underlying pathological processes. To address this challenge, we conducted a drug screening focusing on clinically-relevant polyphenolic compounds, given the growing interest in polyphenolic compounds for their potential role in tissue repair during wound healing. This screening led to the identification of resveratrol as the most promising candidate for mitigating tracheal complications, as it exhibited the most significant efficacy in enhancing the expression of vascular endothelial growth factor (VEGF) while concurrently suppressing the pivotal fibrosis factor: transforming growth factor-beta 1 (TGF-ß1), showcasing its robust potential in addressing these issues. Building upon this discovery, we further developed an innovative photosensitive poly-L-lysine gel integrated with a resveratrol-magnesium metal polyphenol network (MPN), named Res-Mg/PL-MA. This design allows for the enables sustained release of resveratrol and synergistically enhances the expression of VEGF and also promotes resistance to tensile forces, aided by magnesium ions, in an anastomotic tracheal fistula animal models. Moreover, the combination of resveratrol and poly-L-lysine hydrogel effectively inhibits bacteria, reduces local expression of key inflammatory factors, and induces polarization of macrophages toward an anti-inflammatory phenotype, as well as inhibits TGF-ß1, consequently decreasing collagen production levels in an animal model of post-tracheal resection. In summary, our novel Res-Mg/PL-MA hydrogel, through antibacterial, anti-inflammatory, and pro-vascularization mechanisms, effectively prevents complications at tracheal anastomosis, offering significant promise for translational applications in patients undergoing tracheal surgeries.

Multienzyme-Mimicking LaCoO3 Nanotrigger for Programming Cancer-Cell Pyroptosis.

Pyroptosis, a distinct paradigm of programmed cell death, is an efficient strategy against cancer by overcoming resistance to apoptosis. In this study, LaCoO3 (LCO) lanthanide-based nanocrystals with multienzyme characteristics are rationally designed and engineered to trigger the generation of cytotoxic reactive oxygen species (ROS) and the release of lanthanum ions, ultimately inducing lung cancer cell pyroptosis. The peroxidase- and oxidase-mimicking activities of LCO nanocrystals endow LCO with ROS production capacity in tumor tissues with an acidic pH and high hydrogen peroxide content. Concurrently, the LCO nanoenzyme exhibits catalase- and glutathione peroxidase-like activities, reversing the hypoxic microenvironment, destroying the activated antioxidant system of tumor cells, and amplifying the sensitivity of tumor cells to ROS. The use of ultrasound further accelerates the enzymatic kinetic rate. Most importantly, the La3+ ions released by LCO robustly destroy the lysosomal membrane, finally inducing canonical pyroptotic cell death, together with ROS. LCO-nanocrystal-triggered programmed cell pyroptosis amplifies the therapeutic effects both in vitro and in vivo, effectively restraining lung cancer growth and metastasis. This study paves a new avenue for the efficient treatment of lung cancer and metastasis through US-enhanced lanthanum-based nanoenzyme platforms and pyroptotic cell death.

Subsequent perinatal outcomes of pregnancy with two consecutive pregnancies with gestational diabetes mellitus: A population-based cohort study.

BACKGROUND: Gestational diabetes mellitus (GDM) is glucose intolerance diagnosed during pregnancy. We aimed to explore the different outcomes of women with two consecutive pregnancies with GDM. METHODS: This study included 861 women with recurrent GDM who had two consecutive singleton deliveries at Fujian Maternity and Child Health Hospital between May 2012 and September 2020. Data on pregnancy complications and neonatal and delivery outcomes were collected and analyzed. RESULTS: Among those women with recurrent GDM, there was no difference in pregnancy complications in index pregnancy vs subsequent pregnancy. Our data revealed there was a significantly higher incidence of thyroid disease in the subsequent pregnancies than in the index pregnancy. (6% vs 10%, p = .003)In subsequent pregnancies, the birth weight was greater than that of the index pregnancy (3296.63 ± 16.85 vs 3348.99 ± 16.05, p = .025); and the incidence of large for gestational age (LGA) was higher than that of the index pregnancy (16.3% vs 20.6%, p = .021). More cesarean sections occurred in the subsequent pregnancy. (32.9% vs 6.6%, p = .039). Postpartum hemorrhage, premature birth, and placental abruption were not significantly different between the two pregnancies. CONCLUSIONS: The results suggest the effect of GDM on thyroid dysfunction may be persistent. Recurrent gestational diabetes results in a higher rate of cesarean delivery, incidence of LGA, and neonatal admission to the neonatal intensive care unit (NICU) in subsequent pregnancies. We need to pay attention to the postpartum thyroid function of pregnant women with GDM. Further studies are still needed on recurrent GDM to reduce this occurrence of admission to NICU.

Can Aspirin Use Be Associated With the Risk or Prognosis of Bladder Cancer? A Case-Control Study and Meta-analytic Assessment.

Aspirin, widely used to prevent cardiovascular disease, had been linked to the incidence of bladder cancer (BCa). Existing studies focusing on Chinese populations are relatively rare, especially for Northeast China. Meanwhile, relevant studies on the effects of aspirin on the occurrence or prognosis of BCa are inconsistent or even controversial. First, in the case control study, logistic regression analysis was used to investigate the association between aspirin intake and risk of BCa including 1121 patients with BCa and the 2242 controls. Subsequently, Kaplan-Meier curve and Cox regression analyses were applied to explore the association between aspirin intake and clinicopathological factors which may predict overall survival (OS) and recurrence-free survival (RFS) of BCa patients. Finally, we quantificationally combined the results with those from the published literature evaluating aspirin intake and its effects on the occurrence, outcome of surgery and prognosis of BCa by meta-analysis up to May 1, 2021.Our case-control study demonstrated that the regular use of aspirin was not associated with a reduced incidence of BCa (P=0.175). Stratified analyses of sex showed that aspirin intake did not lead to a lower risk of BCa in female patients (P=0.063). However, the male population who regularly took aspirin had a lower incidence of BCa (OR=0.748, 95% CI= 0.584-0.958, P=0.021). Subgroup analyses stratified by smoking found a significant reduction in the risk of BCa in current smokers with aspirin intake (OR=0.522, 95% CI=0.342-0.797, P=0.002). In terms of prognosis of BCa, patients with a history of aspirin intake did not had a markedly longer OS or RFS than those with no history of aspirin intake by Kaplan-Meier curves. Stratified analysis by sex showed no correlation between aspirin intake and the recurrence or survival of BCa for either male or female patients. However, in people younger than 68, aspirin intake seemed to have prolonged effects for overall survival (HR=3.876; 95% CI=1.326-11.325, P=0.019). Then, we performed a meta-analysis and the combined results from 19 articles and our study involving more than 39524 BCa cases indicated that aspirin intake was not associated with the occurrence of BCa (P=0.671). Subgroup analysis by whether regular use of aspirin, by the mean duration of use of aspirin, by sex, by smoking exposure, by research region and by study type also supported the above results. In terms of the impact of aspirin intake on the prognosis of patients with BCa, 11 articles and our study involving 8825 BCa cases were eligible. The combined results showed that patients with aspirin intake did not have significantly influence on survival, recurrence, progression and metastasis than those without aspirin intake. On the whole, both our retrospective study and literature meta-analysis suggested a lack of a strong relevant association between the use of aspirin and the incidence or prognosis of BCa. Thus, additional long-term follow-up prospective research is warranted to clarify the association of aspirin with BCa incidence and prognosis.