This article reported two cases of pregnancy complicated by Kartagener syndrome treated at our institution. Both patients exhibited typical clinical features during pregnancy, such as cough and expectoration. They received individualized management, including airway clearance, expectorant therapy, postural drainage, inhalation of glucocorticoids, and antibiotic treatment. Both were successfully carried to full-term pregnancies. Case 1 was delivered vaginally, while Case 2 underwent cesarean delivery. The outcomes for both mother and child were favorable. Based on these two cases, it is concluded that the management of Kartagener syndrome during pregnancy should be individualized, particularly in genetic counseling, prenatal monitoring, and the selection of delivery methods, considering the patient's specific conditions and risks.

Objective:To evaluate the clinical value of an obstetric intelligent assistant in predicting postpartum hemorrhage (PPH) after vaginal delivery.Methods:This retrospective cohort study included 4 832 women who delivered vaginally at ≥26 weeks of gestation at the Third Affiliated Hospital, Guangzhou Medical University between May 2023 and April 2025. Participants were categorized into PPH (382 cases, blood loss ≥500 ml within 24 h after delivery) and non-PPH groups (4 450 cases). Using traditional statistical methods combined with machine learning approaches, including support vector machines and extreme gradient boosting, supplemented with deep learning techniques, we developed a novel artificial neural network model—the obstetric intelligent assistant. This model provides a refined classification of PPH occurrence and estimated blood loss volume. The obstetric intelligent assistant integrates 70 antenatal and intrapartum risk factors through hospital information system interfacing to generate visualized risk probability outputs. Predictive performance was compared between the obstetric intelligent assistant and four conventional prediction tools (Chinese Labor Room Traffic Light System; Association of Women's Health, Obstetric and Neonatal Nurses; American College of Obstetrics and Gynecology Safe Motherhood Initiative; and California Maternal Quality Care Collaborative prediction tools) using receiver operating characteristic curve.Results:(1) For antenatal prediction, the obstetric intelligent assistant achieved an area under the curve of 0.826 (95% CI: 0.774-0.838), with sensitivity of 0.794 and specificity of 0.712, while the four conventional prediction tools showed area under the curve ranging from 0.569 to 0.586. (2) For intrapartum prediction, the obstetric intelligent assistant achieved an area under the curve of 0.786 (95% CI: 0.751-0.820), with sensitivity of 0.837 and specificity of 0.762, whereas the conventional tools showed area under the curve between 0.600 and 0.613. Conclusion:The obstetric intelligent assistant demonstrates superior performance in predicting PPH compared to conventional prediction tools.

This article reported two cases of pregnancy complicated by Kartagener syndrome treated at our institution. Both patients exhibited typical clinical features during pregnancy, such as cough and expectoration. They received individualized management, including airway clearance, expectorant therapy, postural drainage, inhalation of glucocorticoids, and antibiotic treatment. Both were successfully carried to full-term pregnancies. Case 1 was delivered vaginally, while Case 2 underwent cesarean delivery. The outcomes for both mother and child were favorable. Based on these two cases, it is concluded that the management of Kartagener syndrome during pregnancy should be individualized, particularly in genetic counseling, prenatal monitoring, and the selection of delivery methods, considering the patient's specific conditions and risks.

Objective:To evaluate the clinical value of an obstetric intelligent assistant in predicting postpartum hemorrhage (PPH) after vaginal delivery.Methods:This retrospective cohort study included 4 832 women who delivered vaginally at ≥26 weeks of gestation at the Third Affiliated Hospital, Guangzhou Medical University between May 2023 and April 2025. Participants were categorized into PPH (382 cases, blood loss ≥500 ml within 24 h after delivery) and non-PPH groups (4 450 cases). Using traditional statistical methods combined with machine learning approaches, including support vector machines and extreme gradient boosting, supplemented with deep learning techniques, we developed a novel artificial neural network model—the obstetric intelligent assistant. This model provides a refined classification of PPH occurrence and estimated blood loss volume. The obstetric intelligent assistant integrates 70 antenatal and intrapartum risk factors through hospital information system interfacing to generate visualized risk probability outputs. Predictive performance was compared between the obstetric intelligent assistant and four conventional prediction tools (Chinese Labor Room Traffic Light System; Association of Women's Health, Obstetric and Neonatal Nurses; American College of Obstetrics and Gynecology Safe Motherhood Initiative; and California Maternal Quality Care Collaborative prediction tools) using receiver operating characteristic curve.Results:(1) For antenatal prediction, the obstetric intelligent assistant achieved an area under the curve of 0.826 (95% CI: 0.774-0.838), with sensitivity of 0.794 and specificity of 0.712, while the four conventional prediction tools showed area under the curve ranging from 0.569 to 0.586. (2) For intrapartum prediction, the obstetric intelligent assistant achieved an area under the curve of 0.786 (95% CI: 0.751-0.820), with sensitivity of 0.837 and specificity of 0.762, whereas the conventional tools showed area under the curve between 0.600 and 0.613. Conclusion:The obstetric intelligent assistant demonstrates superior performance in predicting PPH compared to conventional prediction tools.

OBJECTIVE: To investigate the effect of hypoxia on cell viability and the endothelial differentiation potential in human umbilical cord derived mesenchymal stem cells (UC-MSCs), and to assess the in vitro protective role of VEGF under low oxygen tension. METHODS: MSCs were isolated from human umbilical cords and cultured in vitro. The morphological and phenotypic characterizations of human UC-MSCs were analyzed. The hypoxia induction was performed with or without the presence of 50 ng/mL of VEGF for different lengths of time. The cell proliferation, apoptosis, and reactive oxygen species (ROS) generation were assessed. Meanwhile, the endothelial differentiation potential of the UC-MSCs was measured. RESULTS: An increased apoptosis and ROS generation but reduced proliferation rate were observed at early stages (6, 12 h) after transferring the UC-MSCs from the atmospheric condition to the hypoxia condition. However, the UC-MSCs presented equal proliferation and apoptosis levels under hypoxic condition as compared with those under the atmospheric condition at the later stages (24, 72 h). A high concentration of exogenous VEGF (50 ng/mL) attenuated the increased apoptosis and inhibited the proliferation of UC-MSCs, induced by a short-term hypoxia treatment. After 14 days of exogenous VEGF induction under the hypoxia condition, the UC-MSCs acquired an early endothelial phenotype consisting of a mature endothelial molecule and some endothelial functions. CONCLUSION UC-MSCs progressively adapt to hypoxia in a step-by-step manner and maintain differentiation potential under hypoxia condition. VEGF can protect the UC-MSCs from cell damage and induce a differentiation of UC-MSCs toward endothelial lineage under hypoxic conditions.
Apoptosis ; drug effects ; Cell Differentiation ; drug effects ; Cell Hypoxia ; Cell Proliferation ; Cell Survival ; Cells, Cultured ; Humans ; Mesenchymal Stem Cells ; cytology ; Protective Agents ; pharmacology ; Reactive Oxygen Species ; metabolism ; Umbilical Cord ; cytology ; Vascular Endothelial Growth Factor A ; pharmacology