Objective: To evaluate the application of blood conservation measures in obstetric patients with different red blood cell transfusion volumes and to assess the impact of different transfusion volumes on postpartum outcomes. Methods: A retrospective investigation was conducted on 448 obstetric patients who received blood transfusions at the Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine from January 2016 to December 2022. Patients were divided into four groups (1-2 units group, 3-4 units group, 5-6 units group, and >6 units group) based on the volumes of red blood cells (RBCs) transfused during and within 7 days after delivery. The maternal physiological indicators, pre- and postpartum laboratory test indicators, obstetric complications, application of blood conservation measures, use of blood products, and postpartum outcomes were reviewed. The clinical characteristics, application of blood conservation measures, and their impact on postpartum outcomes were compared among different transfusion groups. Results: There were statistically significant differences in the multivariate logistic analysis of history of previous cesarean section (OR=1.781), eclampsia/pre-eclampsia/(OR=1.972) and postpartum blood loss>1 000 mL（OR=1.699）(P<0.05) among different transfusion groups. In terms of blood conservation measures, the more RBCs transfused, the higher the rate of mothers receiving blood conservation measures such as balloon occlusion, arterial ligation, autologous blood transfusion with a cell saver, and hysterectomy. With the increase in the volume of RBCs transfusion, the demand for fresh frozen plasma（FFP）, cryoprecipitate, and platelet transfusions also increased. The hospitalization days for the four groups of parturients were 6.0 (4.0-9.0), 7.5 (5.0-14.8), 7.0 (4.5-13.0) and 11.0 (9.0-20.5), respectively (P<0.05) and the rates of ICU transfer were 2.0% (5/250), 9.4% (12/128),18.2% (6/33) and 51.4% (19/37), respectively (P<0.05). Both increased significantly with the increase in the volume of RBCs transfusion, and the differences between groups were statistically significant. Conclusion: Parturients who received higher volume of RBCs had multiple risks factors for bleeding before childbirth, had higher postpartum blood loss, and had a higher rate of application of various blood conservation measures. In addition, an increase in the volume of RBCs transfusion may have adverse effects on postpartum recovery.

Serine protease inhibitor Kazal-type (SPINK) is a skin keratinizing protease inhibitor, which was initially found in animal serum and is widely present in plants, animals, bacteria, and viruses, and they act as key regulators of skin keratinizing proteases and are involved in the regulation of keratinocyte proliferation and inflammation, primarily through the inhibition of deregulated tissue kinin-releasing enzymes (KLKs) in skin response. This process plays a crucial role in alleviating various skin problems caused by hyperkeratinization and inflammation, and can greatly improve the overall condition of the skin. Specifically, the different members of the SPINK family, such as SPINK5, SPINK6, SPINK7, and SPINK9, each have unique biological functions and mechanisms of action. The existence of these members demonstrates the diversity and complexity of skin health and disease. First, SPINK5 mutations are closely associated with the development of various skin diseases, such as Netherton’s syndrome and atopic dermatitis, and SPINK5 is able to inhibit the activation of the STAT3 signaling pathway, thereby effectively preventing the metastasis of melanoma cells, which is important in preventing the invasion and migration of malignant tumors. Secondly, SPINK6 is mainly distributed in the epidermis and contains lysine and glutamate residues, which can act as a substrate for epidermal transglutaminase to maintain the normal structure and function of the skin. In addition, SPINK6 can activate the intracellular ERK1/2 and AKT signaling pathways through the activation of epidermal growth factor receptor and protease receptor-2 (EphA2), which can promote the migration of melanoma cells, and SPINK6 further deepens its role in stimulating the migration of malignant tumor cells by inhibiting the activation of STAT3 signaling pathway. This process further deepens its potential impact in stimulating tumor invasive migration. Furthermore, SPINK7 plays a role in the pathology of some inflammatory skin diseases, and is likely to be an important factor contributing to the exacerbation of skin diseases by promoting aberrant proliferation of keratinocytes and local inflammatory responses. Finally, SPINK9 can induce cell migration and promote skin wound healing by activating purinergic receptor 2 (P2R) to induce phosphorylation of epidermal growth factor and further activating the downstream ERK1/2 signaling pathway. In addition, SPINK9 also plays an antimicrobial role, preventing the interference of some pathogenic microorganisms. Taken as a whole, some members of the SPINK family may be potential targets for the treatment of dermatological disorders by regulating multiple biological processes such as keratinization metabolism and immuno-inflammatory processes in the skin. The development of drugs such as small molecule inhibitors and monoclonal antibodies has great potential for the treatment of dermatologic diseases, and future research on SPINK will help to gain a deeper understanding of the physiopathologic processes of the skin. Through its functions and regulatory mechanisms, the formation and maintenance of the skin barrier and the occurrence and development of inflammatory responses can be better understood, which will provide novel ideas and methods for the prevention and treatment of skin diseases.

Testicular histology based on testicular biopsy is an important factor for determining appropriate testicular sperm extraction surgery and predicting sperm retrieval outcomes in patients with azoospermia. Therefore, we developed a deep learning (DL) model to establish the associations between testicular grayscale ultrasound images and testicular histology. We retrospectively included two-dimensional testicular grayscale ultrasound from patients with azoospermia (353 men with 4357 images between July 2017 and December 2021 in The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China) to develop a DL model. We obtained testicular histology during conventional testicular sperm extraction. Our DL model was trained based on ultrasound images or fusion data (ultrasound images fused with the corresponding testicular volume) to distinguish spermatozoa presence in pathology (SPP) and spermatozoa absence in pathology (SAP) and to classify maturation arrest (MA) and Sertoli cell-only syndrome (SCOS) in patients with SAP. Areas under the receiver operating characteristic curve (AUCs), accuracy, sensitivity, and specificity were used to analyze model performance. DL based on images achieved an AUC of 0.922 (95% confidence interval [CI]: 0.908-0.935), a sensitivity of 80.9%, a specificity of 84.6%, and an accuracy of 83.5% in predicting SPP (including normal spermatogenesis and hypospermatogenesis) and SAP (including MA and SCOS). In the identification of SCOS and MA, DL on fusion data yielded better diagnostic performance with an AUC of 0.979 (95% CI: 0.969-0.989), a sensitivity of 89.7%, a specificity of 97.1%, and an accuracy of 92.1%. Our study provides a noninvasive method to predict testicular histology for patients with azoospermia, which would avoid unnecessary testicular biopsy.
Humans ; Male ; Azoospermia/diagnostic imaging* ; Deep Learning ; Testis/pathology* ; Retrospective Studies ; Adult ; Ultrasonography/methods* ; Sperm Retrieval ; Sertoli Cell-Only Syndrome/diagnostic imaging*

OBJECTIVES: To construct a Z-score regression model for coronary artery diameter based on echocardiographic data from children in Sichuan Province and to establish a Z-score calculation formula. METHODS: A total of 744 healthy children who underwent physical examinations at Sichuan Provincial People's Hospital from January 2020 to December 2022 were selected as the modeling group, while 251 children diagnosed with Kawasaki disease at the same hospital from January 2018 to December 2022 were selected as the validation group. Pearson correlation analysis was conducted to analyze the relationships between coronary artery diameter values and age, height, weight, and body surface area. A regression model was constructed using function transformation to identify the optimal regression model and establish the Z-score calculation formula, which was then validated. RESULTS: The Pearson correlation analysis showed that the correlation coefficients for the diameters of the left main coronary artery, left anterior descending artery, left circumflex artery, and right coronary artery with body surface area were 0.815, 0.793, 0.704, and 0.802, respectively (P<0.05). Among the constructed regression models, the power function regression model demonstrated the best performance and was therefore chosen as the optimal model for establishing the Z-score calculation formula. Based on this Z-score calculation formula, the detection rate of coronary artery lesions was found to be 21.5% (54/251), which was higher than the detection rate based on absolute values of coronary artery diameter. Notably, in the left anterior descending and left circumflex arteries, the detection rate of coronary artery lesions using this Z-score calculation formula was higher than that of previous classic Z-score calculation formulas. CONCLUSIONS The Z-score calculation formula established based on the power function regression model has a higher detection rate for coronary artery lesions, providing a strong reference for clinicians, particularly in assessing coronary artery lesions in children with Kawasaki disease.
Humans ; Male ; Female ; Child, Preschool ; Child ; Coronary Artery Disease/diagnostic imaging* ; Infant ; Mucocutaneous Lymph Node Syndrome ; Regression Analysis ; Coronary Vessels/diagnostic imaging* ; Echocardiography ; Adolescent

Ovarian tumor (OT) is the most lethal form of gynecologic malignancy, with minimal improvements in patient outcomes over the past several decades. Metastasis is the leading cause of ovarian cancer-related deaths, yet the underlying mechanisms remain poorly understood. Psychological stress is known to activate the glucocorticoid receptor (NR3C1), a factor associated with poor prognosis in OT patients. However, the precise mechanisms linking NR3C1 signaling and metastasis have yet to be fully elucidated. In this study, we demonstrate that chronic restraint stress accelerates epithelial-mesenchymal transition (EMT) and metastasis in OT through an NR3C1-dependent mechanism involving nuclear protein 1 (NUPR1). Mechanistically, NR3C1 directly regulates the transcription of NUPR1, which in turn increases the expression of snail family transcriptional repressor 2 (SNAI2), a key driver of EMT. Clinically, elevated NR3C1 positively correlates with NUPR1 expression in OT patients, and both are positively associated with poorer prognosis. Overall, our study identified the NR3C1/NUPR1 axis as a critical regulatory pathway in psychological stress-induced OT metastasis, suggesting a potential therapeutic target for intervention in OT metastasis.

OBJECTIVE: Hepatocellular carcinoma (HCC) is sensitive to ferroptosis, a new form of programmed cell death that occurs in most tumor types. However, the mechanism through which ferroptosis modulates HCC remains unclear. This study aimed to investigate the oncogenic role and prognostic value of FANCD2 and provide novel insights into the prognostic assessment and prediction of immunotherapy. METHODS: Using clinicopathological parameters and bioinformatic techniques, we comprehensively examined the expression of FANCD2 macroscopically and microcosmically. We conducted univariate and multivariate Cox regression analyses to identify the prognostic value of FANCD2 in HCC and elucidated the detailed molecular mechanisms underlying the involvement of FANCD2 in oncogenesis by promoting iron-related death. RESULTS: FANCD2 was significantly upregulated in digestive system cancers with abundant immune infiltration. As an independent risk factor for HCC, a high FANCD2 expression level was associated with poor clinical outcomes and response to immune checkpoint blockade. Gene set enrichment analysis revealed that FANCD2 was mainly involved in the cell cycle and CYP450 metabolism. CONCLUSION To the best of our knowledge, this is the first study to comprehensively elucidate the oncogenic role of FANCD2. FANCD2 has a tumor-promoting aspect in the digestive system and acts as an independent risk factor in HCC; hence, it has recognized value for predicting tumor aggressiveness and prognosis and may be a potential biomarker for poor responsiveness to immunotherapy.
Humans ; Carcinoma, Hepatocellular/diagnosis* ; Liver Neoplasms/diagnosis* ; Immunotherapy ; Fanconi Anemia Complementation Group D2 Protein/metabolism* ; Prognosis ; Male ; Female ; Middle Aged ; Biomarkers, Tumor/metabolism*

Objective To design a nurse-driven intelligent individualized medication management system to enhance the whole-course patient management efficiency.Methods The system consisted of an in-hospital PC terminal,a mobile patient terminal and a mobile medical terminal.The in-hospital PC terminal was developed with B/S architecture and.NET;the patient and medical terminals both were realized with Java.The patient terminal was made up of a personal information module,a data reporting module and a message center module,and the in-hospital PC and medical terminals were composed of several modules for patient management,data management,statistical analysis and system management.Results The system developed provided whole-course intelligent management for out-of-hospital patients comprehensively,continuously and actively,lowering acute morbidity and nurses'workload for follow-up.Conclusion The system developed enhances patients'awareness of self-health management and improves nurses'efficiency for individualized medication management.[Chinese Medical Equipment Journal,2024,45(11):44-48]

Objective To explore the establishment of a risk prediction model for concurrent bronchiolitis obliterans(BO)in children with refractory Mycoplasma pneumoniae pneumonia(RMPP).Methods A retrospective study included 116 RMPP children treated in the Department of Pediatrics of Xiangya Changde Hospital from June 2021 to December 2023.Eighty-one cases were allocated to the training set and thirty-five cases to the validation set based on a 7:3 ratio.Among them,26 cases in the training set developed BO,while 55 did not.The multivariate logistic regression was used to select variable factors for constructing the BO risk prediction model.Nomograms were drawn,and the receiver operating characteristic(ROC)curve was used to assess the discriminative ability of the model,while calibration curves and Hosmer-Lemeshow tests evaluated the model's calibration.Results Multivariate logistic regression analysis indicated that several factors were significantly associated with concurrent BO in RMPP children,including length of hospital stay,duration of fever,atelectasis,neutrophil percentage(NEUT%),peak lactate dehydrogenase(LDH),ferritin,peak C reactive protein(CRP),oxygenation index(PaO2/FiO2),≥2/3 lung lobe consolidation,pleural effusion,bronchial mucous plugs,bronchial mucosal necrosis,and arterial oxygen partial pressure(PaO2)(P<0.05).ROC curve analysis for the training set indicated an area under the curve of 0.904 with 88%sensitivity and 83%specificity;the validation set showed an area under the curve of 0.823 with 76%sensitivity and 93%specificity.The Hosmer-Lemeshow test's Chi-square values for the training and validation sets were 2.17 and 1.92,respectively,with P values of 0.221 and 0.196,respectively.Conclusions The risk prediction model for BO in RMPP children based on logistic regression has good performance.Variables such as length of hospital stay,duration of fever,atelectasis,peak LDH,peak CRP,NEUT%,ferritin,≥2/3 lung lobe consolidation,pleural effusion,bronchial mucous plugs,bronchial mucosal necrosis,PaO2/FiO2,and PaO2 can be used as predictors.

Objective:To compare the difference between the Evidence Quality Grading System for Public Health Decision-making(PHE-Grading)and the Grading of Recommendations Assessment,Development and Evaluation(GRADE)System in evaluating the quality of evidence for public health decision-making.Methods:Systematic reviews about topic"Public health"were electronically searched in the Cochrane Library database from inception to February 27,2024.EndNote 20 software was used for literature screening,Excel 2021 and SPSS 22.0 software were used for data collation and analysis,and the forest plot was drawn by RevMan 5.4.1 software.Results:A total of 61 systematic reviews were finally included for evidence quality evaluation.The forest plot of GRADE and PHE-Grading evidence grading results showed that high grade[OR:2.39,95%CI(1.21 to 4.75)],moderate grade[OR:0.40,95%CI(0.31 to 0.52)],low grade[OR:0.37,95%CI(0.29 to 0.46)],and extremely low grade[OR:85.11,95%CI(34.80 to 208.11)],and the differences in evidence quality grading results between the two systems were statistically significant.Conclusions:Compared with GRADE,PHE-Grading may be more accurate in grasping the certainty of public health decision-making evidence.Currently,the quality of public health decision-making evidence is still concentrated in low and middle level,and high-quality research still needs to be strengthened to support scientific decision-making.

Aim To explore the ameliorative effects of berberine(BBR)on diabetic nephropathy(DN)in mice and investigate its potential mechanisms through transcriptomic analysis.Methods 8-week-old db/db mice were randomly assigned into four groups:model group(DN group),BBR 50 mg·kg-1 group(BBR-L group),BBR 100 mg·kg-1 group(BBR-H group),and empagliflozin 10 mg·kg-1 group(EMPA group).Age-matched db/m mice were used as the control group(NC group),with eight mice in each group.Each group received intragastric administration once daily for eight weeks.After the treatment,serum,u-rine,and kidney samples were collected to evaluate re-nal function indicators and observe renal pathological changes.Differentially expressed genes(DEGs)in kidney tissue were identified through transcriptomic a-nalysis,followed by KEGG and GO enrichment analy-sis.Potential targets were further validated using mo-lecular docking,molecular dynamics simulations,West-ern blot,and immunohistochemistry.Results Both BBR and EMPA significantly reduced fasting blood glu-cose levels in DN mice,improved renal function,and alleviated renal injury and fibrosis.Compared to the NC group,855 DEGs were identified in the DN group,while 194 DEGs were identified in the BBR-H group compared to the DN group.KEGG enrichment analysis indicated that the mechanisms underlying BBR's effects on DN were primarily related to type 1 diabetes and bile secretion pathways.Molecular docking results demonstrated a strong binding affinity between BBR and FXR and a moderate binding affinity with SHP.Molecular dynamics simulations corroborated the doc-king results.FXR and SHP protein expression signifi-cantly decreased in the DN group compared to the NC group.At the same time,BBR treatment significantly increased the expression of these proteins compared to the DN group.Conclusion BBR may mitigate DN-in-duced renal injury by modulating bile acid and lipid homeostasis through the FXR-SHP pathway.