Clinical nursing value of predictive nursing in reducing complications of pregnant women undergoing short-term massive blood transfusion during cesarean section

BACKGROUND Cesarean hemorrhage is one of the serious complications,and short-term massive blood transfusion can easily cause postoperative infection and physical stress response.However,predictive nursing intervention has important clinical significance for it.AIM To explore the effect of predictive nursing intervention on the stress response and complications of women undergoing short-term mass blood transfusion during cesarean section(CS).METHODS A clinical medical record of 100 pregnant women undergoing rapid mass blood transfusion during sections from June 2019 to June 2021.According to the different nursing methods,patients divided into control group(n=50)and observation group(n=50).Among them,the control group implemented routine nursing,and the observation group implemented predictive nursing intervention based on the control group.Moreover,compared the differences in stress res-ponse,complications,and pain scores before and after the nursing of pregnant women undergoing rapid mass blood transfusion during CS.RESULTS The anxiety and depression scores of pregnant women in the two groups were significantly improved after nursing,and the psychological stress response of the observation group was significantly lower than that of the control group(P<0.05).The heart rate and mean arterial pressure(MAP)of the observation group during delivery were lower than those of the control group,and the MAP at the end of delivery was lower than that of the control group(P<0.05).Moreover,different pain scores improved significantly in both groups,with the observation group considerably less than the control group(P<0.05).After nursing,complications such as skin rash,urinary retention,chills,diarrhea,and anaphylactic shock in the observation group were 18%,which significantly higher than in the control group(4%)(P<0.05).CONCLUSION Predictive nursing intervention can effectively relieve the pain,reduce the incidence of complications,improve mood and stress response,and serve as a reference value for the nursing of women undergoing rapid mass transfusion during CS.

Investigation of the quality of life,mental status in patients with gynecological cancer and its influencing factors

BACKGROUND Having a gynecological tumor or undergoing treatment can be a traumatic experience for women,as it affects their self-image and sexual relationships and can lead to psychological reactions.Psychological adjustment following cancer occurrence remains a key issue among the survivors.AIM To examine the current status of quality of life(QoL),anxiety,and depression in patients with gynecological cancer and to analyze the factors associated with it.METHODS Data for 160 patients with gynecological malignancies treated at Shanxi Bethune Hospital from June 2020 to June 2023 were collected and analyzed retrospectively.Patients’QoL was assessed using the European Organization for Research on Treatment of Cancer Quality of Life Questionnaire Core 30 and the Functional Assessment of Cancer Therapy-General Questionnaire.Their emotional status was evaluated using the Self-Rating Anxiety/Depression Scale.The associated factors of anxiety and depression were analyzed.RESULTS The overall QoL score of the patients 6 months after surgery was 76.39±3.63 points.This included low levels of social and emotional function and severe fatigue and pain.The scores for physiological,functional,emotional,social,and family well-being exhibited an upward trend following surgery compared with those before surgery.One month after surgery,some patients experienced anxiety and depression,with an incidence of 18.75%and 18.13%,respectively.Logistic analysis revealed that good sleep was a protective factor against anxiety and depression in patients with gynecological tumors,whereas physical pain was a risk factor.CONCLUSION Patients with gynecological malignancies often experience anxiety and depression.By analyzing the factors that affect patients’QoL,effective nursing measures can be administered.

T2-weighted imaging-based radiomic-clinical machine learning model for predicting the differentiation of colorectal adenocarcinoma

BACKGROUND The study on predicting the differentiation grade of colorectal cancer(CRC)based on magnetic resonance imaging(MRI)has not been reported yet.Developing a non-invasive model to predict the differentiation grade of CRC is of great value.AIM To develop and validate machine learning-based models for predicting the differ-entiation grade of CRC based on T2-weighted images(T2WI).METHODS We retrospectively collected the preoperative imaging and clinical data of 315 patients with CRC who underwent surgery from March 2018 to July 2023.Patients were randomly assigned to a training cohort(n=220)or a validation cohort(n=95)at a 7:3 ratio.Lesions were delineated layer by layer on high-resolution T2WI.Least absolute shrinkage and selection operator regression was applied to screen for radiomic features.Radiomics and clinical models were constructed using the multilayer perceptron(MLP)algorithm.These radiomic features and clinically relevant variables(selected based on a significance level of P<0.05 in the training set)were used to construct radiomics-clinical models.The performance of the three models(clinical,radiomic,and radiomic-clinical model)were evaluated using the area under the curve(AUC),calibration curve and decision curve analysis(DCA).RESULTS After feature selection,eight radiomic features were retained from the initial 1781 features to construct the radiomic model.Eight different classifiers,including logistic regression,support vector machine,k-nearest neighbours,random forest,extreme trees,extreme gradient boosting,light gradient boosting machine,and MLP,were used to construct the model,with MLP demonstrating the best diagnostic performance.The AUC of the radiomic-clinical model was 0.862(95%CI:0.796-0.927)in the training cohort and 0.761(95%CI:0.635-0.887)in the validation cohort.The AUC for the radiomic model was 0.796(95%CI:0.723-0.869)in the training cohort and 0.735(95%CI:0.604-0.866)in the validation cohort.The clinical model achieved an AUC of 0.751(95%CI:0.661-0.842)in the training cohort and 0.676(95%CI:0.525-0.827)in the validation cohort.All three models demonstrated good accuracy.In the training cohort,the AUC of the radiomic-clinical model was significantly greater than that of the clinical model(P=0.005)and the radiomic model(P=0.016).DCA confirmed the clinical practicality of incorporating radiomic features into the diagnostic process.CONCLUSION In this study,we successfully developed and validated a T2WI-based machine learning model as an auxiliary tool for the preoperative differentiation between well/moderately and poorly differentiated CRC.This novel approach may assist clinicians in personalizing treatment strategies for patients and improving treatment efficacy.

Endometrial Cancer Research Based on Gut Microbiomics and Metabolomics:An Analysis of Correlation and Differences

Endometrial cancer(EC)is a malignant tumour that occurs in the epithelial cells of the endometrium and represents one of the most common malignancies involving the female reproductive system,with endometrioid adenocarcinoma as the most common type.In recent years,with an increasingly aging society and the growing number of obese people,the incidence of EC is constantly rising,posing a serious threat to women’s health.Some studies have reported that the interruption of digestion and absorption caused by imbalance in intestinal microbiota may lead to conditions such as obesity,hypertension,diabetes,and hormone imbalance,which are all risk factors for EC.Meanwhile,intestinal bacteria produce a series of metabolites during colonization and reproduction,which can rapidly respond to changes in the microenvironment of the body.Changes in their types and quantities can serve as sensitive indicators of physiological and pathological changes in the body.Patients with EC often suffer from metabolic diseases,which can lead to metabolic disorders involving carbohydrates,fats,and amino acid in their bodies.

Development and validation of a circulating tumor DNA-based optimization-prediction model for short-term postoperative recurrence of endometrial cancer

BACKGROUND Endometrial cancer(EC)is a common gynecological malignancy that typically requires prompt surgical intervention;however,the advantage of surgical management is limited by the high postoperative recurrence rates and adverse outcomes.Previous studies have highlighted the prognostic potential of circulating tumor DNA(ctDNA)monitoring for minimal residual disease in patients with EC.AIM To develop and validate an optimized ctDNA-based model for predicting shortterm postoperative EC recurrence.METHODS We retrospectively analyzed 294 EC patients treated surgically from 2015-2019 to devise a short-term recurrence prediction model,which was validated on 143 EC patients operated between 2020 and 2021.Prognostic factors were identified using univariate Cox,Lasso,and multivariate Cox regressions.A nomogram was created to predict the 1,1.5,and 2-year recurrence-free survival(RFS).Model performance was assessed via receiver operating characteristic(ROC),calibration,and decision curve analyses(DCA),leading to a recurrence risk stratification system.RESULTS Based on the regression analysis and the nomogram created,patients with postoperative ctDNA-negativity,postoperative carcinoembryonic antigen 125(CA125)levels of<19 U/mL,and grade G1 tumors had improved RFS after surgery.The nomogram’s efficacy for recurrence prediction was confirmed through ROC analysis,calibration curves,and DCA methods,highlighting its high accuracy and clinical utility.Furthermore,using the nomogram,the patients were successfully classified into three risk subgroups.CONCLUSION The nomogram accurately predicted RFS after EC surgery at 1,1.5,and 2 years.This model will help clinicians personalize treatments,stratify risks,and enhance clinical outcomes for patients with EC.

Correlation analysis of human papillomavirus E6/E7 mRNA detection with diagnosis,prognosis and recurrence risk in patients with cervical epithelioma

BACKGROUND Cervical intraepithelial neoplasia(CIN)is an important precursor of cervical cancer.Early detection and treatment can reduce the incidence of cervical cancer.AIM To investigate the detection rate of human papillomavirus(HPV)E6/E7 mRNA in cervical tissue of patients with different types of epithelial cell neoplasia(CIN)and its relationship with CIN progression and diagnosis.METHODS One hundred women with HPV infection detected by cervical exfoliation cytology between January 2022 and January 2023 were retrospectively selected.These patients were graded CIN based on colposcopy and cervical pathology.The positive expression rates of HPV E6/E7 mRNA and HPV[polymerase chain reaction(PCR)-reverse dot crossing]were compared among all groups.Patients with HPV E6/E7 mRNA expression in the grade 1 CIN group were followed up for 1 yr.The relationship between atypical squamous epithelium and high malignant epithelial neoplasia was investigated by univariate and multivariate analysis.RESULTS The diagnostic sensitivity,specificity,and sensitivity of PCR-reverse point hybrid ization technology for secondary CIN were 70.41%,70.66%,and 0.714,respectively.Sensitivity and specificity for secondary CIN were 752%and 7853%,respectively,the area under the curve value was 0.789.Logistic Multifactorial model analysis revealed that the HPV positive rates and the HPV E6/E7 mRNA positive rates were independent risk factors of CIN grade I(P<0.05).In CIN grade I patients with positive for HPV E6/E7 mRNA,in its orientation to grade CIN patients,in its orientation to grade CIN patients,at 69.2%,compared with patients negative for HPV E6/E7 mRNA(30.8%),significant difference(P<0.05).CONCLUSION HPV E6/E7 mRNA and HPV(PCR-reverse dot hybrid)positive expression have a close relationship with CINgrade disease progression and is an independent risk factor for high-grade CIN lesions.

Diagnostic performance of dynamic contrast-enhanced magnetic resonance imaging parameters and serum tumor markers in rectal carcinoma prognosis

BACKGROUND Rectal carcinoma(RC),one of the most common malignancies globally,presents an increasing incidence and mortality year by year,especially among young people,which seriously affects the prognosis and quality of life of patients.At present,dynamic contrast-enhanced magnetic resonance imaging(DCE-MRI)parameters and serum carbohydrate antigen 19-9(CA19-9)and CA125 Levels have been used in clinical practice to evaluate the T stage and differentiation of RC.However,the accuracy of these evaluation modalities still needs further research.This study explores the application and value of these methods in evaluating the T stage and differentiation degree of RC.AIM To analyze the diagnostic performance of DCE-MRI parameters combined with serum tumor markers(TMs)in assessing pathological processes and prognosis of RC patients.METHODS A retrospective analysis was performed on 104 RC patients treated at Yantai Yuhuangding Hospital from May 2018 to January 2022.Patients were categorized into stages T1,T2,T3,and T4,depending on their T stage and differentiation degree.In addition,they were assigned to low(L group)and moderate-high differentiation(M+H group)groups based on their differentiation degree.The levels of DCE-MRI parameters and serum CA19-9 and CA125 in different groups of patients were compared.In addition,the value of DCE-MRI parameters[volume transfer constant(Ktrans),rate constant(Kep),and extravascular extracellular volume fraction(Ve)in assessing the differentiation and T staging of RC patients was discussed.Furthermore,the usefulness of DCE-MRI parameters combined with serum CA19-9 and CA125 Levels in the evaluation of RC differentiation and T staging was analyzed.RESULTS Ktrans,Ve,CA19-9 and CA125 were higher in the high-stage group and L group than in the low-stage group and M+H Group,respectively(P<0.05).The areas under the curve(AUCs)of the Ktran and Ve parameters were 0.638 and 0.694 in the diagnosis of high and low stages,respectively,and 0.672 and 0.725 in diagnosing moderate-high and low differentiation,respectively.The AUC of DCE-MRI parameters(Ktrans+Ve)in the diagnosis of high and low stages was 0.742,and the AUC in diagnosing moderate-high and low differentiation was 0.769.The AUCs of CA19-9 and CA-125 were 0.773 and 0.802 in the diagnosis of high and low stages,respectively,and 0.834 and 0.796 in diagnosing moderate-high and low differentiation,respectively.Then,we combined DCE-MRI(Ktrans+Ve)parameters with CA19-9 and CA-125 and found that the AUC of DCE-MRI parameters plus serum TMs was 0.836 in the diagnosis of high and low stages and 0.946 in the diagnosis of moderate-high and low differentiation.According to the Delong test,the AUC of DCE-MRI parameters plus serum TMs increased significantly compared with serum TMs alone in the diagnosis of T stage and differentiation degree(P<0.001).CONCLUSION The levels of the DCE-MRI parameters Ktrans and Ve and the serum TMs CA19-9 and CA125 all increase with increasing T stage and decreasing differentiation degree of RC and can be used as indices to evaluate the differentiation degree of RC in clinical practice.Moreover,the combined evaluation of the above indices has a better effect and more obvious clinical value,providing important guiding importance for clinical condition judgment and treatment selection.

Meta-analysis of electrical stimulation promoting recovery of gastrointestinal function after gynecological abdominal surgery

BACKGROUND The effects of electrical stimulation on gastrointestinal function recovery after gynecological abdominal surgery was not clear.AIM To systematically evaluate the effects of electrical stimulation on gastrointestinal function recovery after gynecological abdominal surgery.METHODS The Cochrane Library,Web of Science,PubMed,ProQuest,and the Chinese bio-medical literature databases Wanfang,Weipu,and CNKI were used to search for relevant studies on controlled trials of electrical stimulation in gynecological abdominal surgery patients from self-established databases to May 2024.The RevMan software(version 5.3)was used to analyze the included literature and explore the heterogeneity of each study.RESULTS Seven controlled trials,involving 520 patients,were included.The results of meta-analysis showed that electrical stimulation could shorten the recovery time of intestinal sound after gynecological abdominal surgery[odds ratio(OR):-5.11,95%CI:-5.84 to-4.38,P<0.00001]and improve the time of first anal exhaust(OR:-1.19,95%CI:-1.38 to-0.99,P<0.00001),improved the time of first anal defecation(OR:-0.98,95%CI:-1.19 to-0.78,P<0.00001),The difference is significant.According to the funnel plot,if the scatter is symmetrical,it indicates that the funnel plot is unbiased.CONCLUSION Electrical stimulation can shorten this reduces the length of time it takes for the patient to recover from bowel sounds and also affects the time to first anal voiding and defecation to some extent,thereby promoting gas-trointestinal function recovery after gynecological abdominal surgery.The quality of the studies included in this review was poor,which may have affected the final results.It is necessary to conduct a randomized controlled study with higher quality and more samples to further confirm the promoting effect of electrical stimulation on gastrointestinal function recovery to guide clinical treatment.

Identification of male schizophrenia patients using brain morphology based on machine learning algorithms

BACKGROUND Schizophrenia is a severe psychiatric disease,and its prevalence is higher.However,diagnosis of early-stage schizophrenia is still considered a challenging task.AIM To employ brain morphological features and machine learning method to differentiate male individuals with schizophrenia from healthy controls.METHODS The least absolute shrinkage and selection operator and t tests were applied to select important features from structural magnetic resonance images as input features for classification.Four commonly used machine learning algorithms,the general linear model,random forest(RF),k-nearest neighbors,and support vector machine algorithms,were used to develop the classification models.The performance of the classification models was evaluated according to the area under the receiver operating characteristic curve(AUC).RESULTS A total of 8 important features with significant differences between groups were considered as input features for the establishment of classification models based on the four machine learning algorithms.Compared to other machine learning algorithms,RF yielded better performance in the discrimination of male schizophrenic individuals from healthy controls,with an AUC of 0.886.CONCLUSION Our research suggests that brain morphological features can be used to improve the early diagnosis of schizophrenia in male patients.

Cone-rod homeobox transcriptionally activates TCF7 to promote the proliferation of retinal pigment epithelial and retinoblastoma cells in vitro

AIM:To investigate the proliferation regulatory effect of cone-rod homeobox(CRX)in retinal pigment epithelium(RPE)and retinoblastoma(RB)cells to explore the potential application and side effect(oncogenic potential)of CRXbased gene therapy in RPE-based retinopathies.METHODS:Adult human retinal pigment epithelial(ARPE)-19 and human retinal pigment epithelial(RPE)-1 cells and Y79 RB cell were used in the study.Genetic manipulation was performed by lentivirus-based technology.The cell proliferation was determined by a CellTiter-Glo Reagent.The mRNA and protein levels were determined by quantitative real-time polymerase chain reaction(qPCR)and Western blot assay.The transcriptional activity of the promoter was determined by luciferase reporter gene assay.The bindings between CRX and transcription factor 7(TCF7)promoter as well as TCF7 and the promoters of TCF7 target genes were examined by chromatin immunoprecipitation(ChIP)assay.The transcription of the TCF7 was determined by a modified nuclear run-on assay.RESULTS:CRX overexpression and knockdown significantly increased(n=3,P<0.05 in all the cells)and decreased(n=3,P<0.01 in all the cells)the proliferation of RPE and RB cells.CRX overexpression and knockdown significantly increased and deceased the mRNA levels of Wnt signaling target genes[including MYC proto-oncogene(MYC),JUN,FOS like 1(FOSL1),CCND1,cyclin D2(CCND2),cyclin D3(CCND3),cellular communication network factor 4(CCN4),peroxisome proliferator activated receptor delta(PPARD),and matrix metallopeptidase 7(MMP7)]and the luciferase activity driven by the Wnt signaling transcription factor(TCF7).TCF7 overexpression and knockdown significantly increased and decreased the proliferation of RPE and RB cells and depletion of TCF7 significantly abolished the stimulatory effect of CRX on the proliferation of RPE and RB cells.CRX overexpression and knockdown significantly increased and decreased the mRNA level of TCF7 and the promoter of TCF7 was significantly immunoprecipitated by CRX antibody.CONCLUSION:CRX transcriptionally activates TCF7 to promote the proliferation of RPE and RB cells in vitro.CRX is a potential target for RPE-based regenerative medicine.The potential risk of this strategy,tumorigenic potential,should be considered.

Epidemiological Aspects of Stillbirth and Neonatal Deaths in the Delivery Room at the Libreville Mother-Child University Hospital from 2019 to 2022

Introduction: Stillbirths are estimated at 2 million each year, of which more than 40% occur during labour. Our objective was to study the epidemiological aspects of stillbirth and neonatal deaths in the delivery room in our health facility. Patients and methods: Prospective, descriptive and analytical study, conducted at the Jeanne Ebori Foundation Mother-Child University Hospital over 4 years (January 2019-December 2022). All neonatal deaths in the delivery room or foetal death in utero, were included. Results: Among the 18,346 deliveries performed, 512 newborns were declared dead in the delivery room (27.9‰ live births), divided into in utero foetal death (19.0‰) and immediate neonatal death (8.9‰). The mean age was 34.3 weeks of amenorrhea. The rate of preterm birth was 60.4%. The sex ratio was 1.1. The average weight was 2186.6. The main causes were vascular (46.1%), foetal (20.2%), adnexal (17.1%) and asphyxia per partum (16.6%). Foetal causes were more likely to result in IUFD than other causes (OR = 6.4 [2.4 - 15.7], p < 0.001). After birth, partum asphyxia was more likely to lead to death before 15 minutes of life than other causes (OR = 11 [6.1 - 18.9], p Conclusion: The causes of stillbirth and early neonatal mortality are dominated by maternal vascular pathologies. However, the proportion of childbirth-related causes remains worrying. Better monitoring of pregnancy and labour will minimize this prevalence in our hospital.

The Clinical Value of Ultrasound Image Texture Analysis in the Diagnosis of Uterine Adhesions

Purpose: This review examines the diagnostic value of transvaginal 3D ultrasound image texture analysis for the diagnosis of uterine adhesions. Materials and Methods: The total clinical data of 53 patients with uterine adhesions diagnosed by hysteroscopy and the imaging data of transvaginal three-dimensional ultrasound from the Second Affiliated Hospital of Chongqing Medical University from June 2022 to August 2023 were retrospectively analysed. Based on hysteroscopic surgical records, patients were divided into two independent groups: normal endometrium and uterine adhesion sites. The samples were divided into a training set and a test set, and the transvaginal 3D ultrasound was used to outline the region of interest (ROI) and extract texture features for normal endometrium and uterine adhesions based on hysteroscopic surgical recordings, the training set data were feature screened and modelled using lasso regression and cross-validation, and the diagnostic efficacy of the model was assessed by applying the subjects’ operating characteristic (ROC) curves. Results: For each group, 290 texture feature parameters were extracted and three higher values were screened out, and the area under the curve of the constructed ultrasonographic scoring model was 0.658 and 0.720 in the training and test sets, respectively. Conclusion Relative clinical value of transvaginal three-dimensional ultrasound image texture analysis for the diagnosis of uterine adhesions.

Multiple Potential Markers of Chemosensitivity of Ovarian Cancer, Among Which KELIM of CA125 Is Low Cost and Efficient

Aim: Ovarian cancer (OC) is a malignant cancer with the highest death rate among various kinds of gynecological tumors. The treatment pattern of HGSCs is mainly primary debulking surgery (PDS), followed by platinum-based adjuvant chemotherapy, which has been the preferred treatment plan in recent years. Treatment decision-making remains a problem that needs to be addressed. We write this article to summarize the relevant indicators reported and find better decision-making tools. Methods: We have extensively read and understood the literature in the research field involved. We searched for keywords in Pubmed: ovarian cancer;KELIM;chemosensitivity. Later we summarized and organized the current research status in the last two decades. Results: There are many predictors of chemotherapy sensitivity, including pathological chemotherapy response score (CRS), the level of tumor-infiltrating lymphocytes (TILs), BRCA mutations in germ lines or somatic cells, tumor homologous recombination deficiency (HRD), KELIM of CA125 and so on. Many clinical trials have testified that this marker of chemosensitivity all have their own advantages and disadvantages. KELIM of CA125 is low-cost and efficient, which is worth promoting and applying in clinical practice. Conclusions: Many studies have validated the predictive and guiding value of the KELIM of Ca125 in the diagnosis and therapy of ovarian cancer. Nowadays, KELIM of Ca125 is rarely known by clinical doctors and lacks clinical application. We advise that KELIM of CA125 is a potential prognostic factor of ovarian cancer. As a clinical doctor in the process of treating ovarian cancer, we can combine the patient’s situation with KELIM, to develop personalized treatment plans. Not only can it reduce the occurrence of complications, but it can also lower medical costs.

Exploring the medication pattern and mechanism of action of traditional Chinese medicine in treating polycystic ovary syndrome with kidney deficiency and blood stasis based on data mining and network pharmacology

Background:Using network pharmacology to explore the potential molecular mechanism of traditional Chinese medicine in treating polycystic ovary syndrome(PCOS)with kidney deficiency and blood stasis syndrome.Method:Collect the related literature materials of PCOS with kidney deficiency and blood stasis syndrome treated by traditional Chinese medicine in four databases in recent ten years,extract the information of prescriptions and complete the frequency analysis.Traditional Chinese Medicine Systems Pharmacology Database was used to screen out the effective components.Use Online Mendelian Inheritance in Man and other databases to screen PCOS disease targets.The intersection targets obtained by clustering prescription and PCOS disease targets were submitted to STRING database for protein-protein interaction network analysis,and Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes pathways were analysed by Metascape.Result:There are 155 kinds of traditional Chinese medicines used in the literature.The most commonly utilized ones are Cuscutae Semen,Angelicae Sinensis Radix,and Rehmanniae Radix Praeparata.The results of the cluster analysis indicated that the plants most commonly found throughout the prescription were Leonuri Herba,Lycopi Herba,Dipsaci Radix,etc.GO results show that biological processes include cell reaction to organic nitrogen compounds and cell reaction to nitrogen compounds.The functional display of GO molecule includes cytokine receptor binding,signal receptor regulator activity and so on.Kyoto Encyclopedia of Genes and Genomes results show that the possible mechanisms of action are cancer pathway,an endocrine resistance signal pathway.Conclusion:Through data mining,the cluster prescription for PCOS with kidney deficiency and blood stasis syndrome is Leonuri Herba,Lycopi Herba,Dipsaci Radix,etc.The network pharmacology research of cluster prescription shows that the main drug components for treating PCOS with kidney deficiency and blood stasis syndrome are quercetin,kaempferol,luteolin,tanshinone IIA,etc.,which act on PTGS2,NCOA2,and other targets,and treat PCOS with kidney deficiency and blood stasis syndrome through cancer and endocrine resistance.

Drug repositioning of disulfiram induces endometrioid epithelial ovarian cancer cell death via the both apoptosis and cuproptosis pathways

Various therapeutic strategies have been developed to overcome ovarian cancer.However,the prognoses resulting from these strategies are still unclear.In the present work,we screened 54 small molecule compounds approved by the FDA to identify novel agents that could inhibit the viability of human epithelial ovarian cancer cells.Among these,we identified disulfiram(DSF),an old alcohol-abuse drug,as a potential inducer of cell death in ovarian cancer.Mechanistically,DSF treatment significantly reduced the expression of the anti-apoptosis marker Bcell lymphoma/leukemia-2(Bcl-2)and increase the expression of the apoptotic molecules Bcl2 associated X(Bax)and cleaved caspase-3 to promote human epithelial ovarian cancer cell apoptosis.Furthermore,DSF is a newly identified effective copper ionophore,thus the combination of DSF and copper was used to reduce ovarian cancer viability than DSF single treatment.Combination treatment with DSF and copper also led to the reduced expression of ferredoxin 1 and loss of Fe-S cluster proteins(biomarkers of cuproptosis).In vivo,DSF and copper gluconate significantly decreased the tumor volume and increased the survival rate in a murine ovarian cancer xenograft model.Thus,the role of DSF revealed its potential for used as a viable therapeutic agent for the ovarian cancer.

Effect of individualized nutrition interventions on clinical outcomes of pregnant women with gestational diabetes mellitus

BACKGROUND Gestational diabetes mellitus(GDM)can lead to excessive pregnancy weight gain(PWG),abnormal glucolipid metabolism,and delayed lactation.Therefore,it is necessary to provide appropriate and effective interventions for pregnant women with GDM.AIM To clarify the effects of individualized nutrition interventions on PWG,glucolipid metabolism,and lactation in pregnant women with GDM.METHODS The study population consisted of 410 pregnant women with GDM who received treatment at the Northern Jiangsu People's Hospital of Jiangsu Provinceand Yangzhou Maternal and Child Health Hospital between December 2020 and December 2022,including 200 who received routine in-terventions[control(Con)group]and 210 who received individualized nutrition interventions[research(Res)group].Data on PWG,glucolipid metabolism[total cholesterol,(TC);triglycerides(TGs);fasting blood glucose(FPG);glycosylated hemoglobin(HbA1c)],lactation time,perinatal complications(cesarean section,premature rupture of membranes,postpartum hemorrhage,and pregnancy-induced hypertension),and neonatal adverse events(premature infants,fetal macrosomia,hypo-glycemia,and respiratory distress syndrome)were collected for comparative analysis.RESULTS The data revealed markedly lower PWG in the Res group vs the Con group,as well as markedly reduced TG,TC,FPG and HbA1c levels after the intervention that were lower than those in the Con group.In addition,obviously earlier lactation and statistically lower incidences of perinatal complications and neonatal adverse events were observed in the Res group.CONCLUSION Individualized nutrition interventions can reduce PWG in pregnant women with GDM,improve their glucolipid metabolism,and promote early lactation,which deserves clinical promotion.

Effect of cognitive behavior therapy training and psychological nursing on the midwifery process in the delivery room

BACKGROUND The severe physical and psychological impact of pain on the physical and mental health of women during labor leads to increased risks and complications during childbirth,presenting a major public health concern.Some studies have shown that cognitive behavioral therapy(CBT)has a positive effect on maternal psychology during delivery,reducing stress and shortening labor time.Thus,CBT training for mothers and delivery room staff may be beneficial in minimizing complications and adverse effects during natural birth.AIM To investigate the clinical effects of CBT training and psychological care during delivery,and their therapeutic effects on women in labor.METHODS This study used a retrospective analysis and included 140 mothers admitted to the maternity ward between January 2021 and January 2023.The study subjects were randomized into two groups:control(n=70)and observation(n=70).Routine care,CBT training,and psychological care were provided to mothers in both groups.Psychological status scores,delivery time,and satisfaction with care pre-and post-delivery were compared,and the incidence of complications after receiving care was analyzed between the two groups.RESULTS Although the psychological state of both groups improved significantly in the late stages of labor,the psychological state scores of the mothers in the observation group were significantly lower than those of the mothers in the control group(P<0.05).The duration of labor and incidence of complications in the observation group were significantly lower than those in the control group(P<0.05).The mothers in the observation group were significantly more satisfied with nursing care during the course of labor than those in the control group(P<0.05).CONCLUSION CBT training and psychological care for mothers in the midwifery process can effectively improve anxiety and depression,shorten labor duration,reduce postnatal complications,and improve nursing satisfaction and nurse-patient relationships.Its clinical application is effective and has popularization value,providing a new way to protect maternal mental health.

Effect of internet multiple linkage mode-based extended care combined with in-hospital comfort care on colorectal cancer patients undergoing colostomy

BACKGROUND Patients with colorectal cancer may need postoperative nursing to improve prognosis,and conventional nursing is not effective.Clinical research is needed to explore nursing methods that can more effectively improve postoperative conditions on colorectal cancer patients undergoing colostomy.AIM To explore the effect of internet multiple linkage mode-based extended care combined with in-hospital comfort care on colorectal cancer patients undergoing colostomy.METHODS Data from 187 patients with colostomy treated in our hospital from May 2019 to March 2022 were collected and divided into three groups,A(n=62),B(n=62)and C(n=63),according to different intervention methods.Group A received internet multiple linkage mode-based extended care combined with in-hospital comfort care.Group B received internet multiple linkage mode-based extended care.Group C received usual care intervention.Complications were compared among the three groups.The stoma self-efficacy scale,Hamilton Anxiety Scale,RESULTS The complication rate of group A,B and C(16.13%,20.97%and 60.32%,respectively)was significantly different(all P<0.05).The incidence of complications in groups A and B was lower than that in group C,and there was no significant difference between groups A and B(P>0.05).After intervention,the scores of ostomy care,social contact,diet choice,confidence in maintaining vitality,confidence in self-care of ostomy,confidence in sexual life,confidence in sexual satisfaction and confidence in physical labor in the three groups were all higher than before intervention,and the scores of groups A and B were higher than those of group C,with statistical significance(P<0.05).The Hamilton Anxiety Scale and Hamilton Depression Scale scores of the three groups after intervention were lower than those before intervention.The scores of groups A and B were lower than those of group C,and the score of group A was lower than that of group B,all with statistical significance(all P<0.05).There was a statist-ically significant difference in cancer-induced fatigue among the three groups(P<0.05).After intervention,the scores of physical health,psychological health,social health and mental health of the three groups were lower than before the intervention.The scores of group A and B were lower than that of group C;and the score of group A was lower than that of group B,all with statistical significance(all P<0.05).CONCLUSION Internet multiple linkage mode-based extended care combined with in-hospital comfort care can effectively improve self-efficacy,bad mood,cancer-related fatigue and life quality of colorectal cancer patients undergoing colostomy.

Phenomenology,disability and sexual functioning in female Dhat syndrome:a study of tertiary care gynaecology outpatients

Background Dhat syndrome,a clinical condition related to semen loss in urine often found among males in India,has rarely been described as a separate clinical condition in females.Women with the syndrome complain of passing vaginal discharge and can be excessively concerned and preoccupied with it,often attributing various physical symptoms to the loss of vaginal fluids.Aims This study aimed to assess the sociodemographic and clinical profiles of female patients with Dhat syndrome and their perceived stress,disability and sexual functioning.Methods Sociodemographic details of 70 females with non-pathological vaginal discharge were evaluated with a semistructured sociodemographic assessment.The phenomenology of the vaginal discharge was assessed with the Scale for Assessment of Female Dhat Syndrome Questionnaire.Anxiety and depressive symptoms were measured with the Hospital Anxiety and Depression Scale.Perceived stress in the past month and disability caused by the illness were assessed with the Perceived Stress Scale and the World Health Organization Disability Assessment Scale.In addition,the Diagnostic and Statistical Manual of Mental Disorders,Fifth Edition,Level 2 Somatic Symptoms Scale was administered to rate the severity of somatic symptoms,and sexual functioning was evaluated using the Female Sexual Function Index(FSFI)scale for women who had had sexual intercourse in the past month.Results The mean age of onset vaginal discharge was 23.0(6.6)years.Biological factors,such as urinary tract infection,were the commonly attributed cause of the loss of vaginal fluids.Psychiatric comorbidity and perceived moderate stress in the past month were found in 38.6%and 68.6%of female patients with Dhat syndrome,respectively.Disability scores tended to be low.Among the females having had sexual intercourse in the past month,48.3%had FSFI scores indicative of a female sexual disorder.Conclusions The clinical presentation of women with non-pathological vaginal discharge is similar to that of males with Dhat syndrome.It requires comprehensive assessment and management that targets the biological,social and psychological factors and cultural issues.

Identification of serous ovarian tumors based on polarization imaging and correlation analysis with clinicopathological features

Ovarian cancer is one of the most aggressive and heterogeneous female tumors in the world,and serous ovarian cancer(SOC)is of particular concern for being the leading cause of ovarian cancer death.Due to its clinical and biological complexities,ovarian cancer is still considered one of the most di±cult tumors to diagnose and manage.In this study,three datasets were assembled,including 30 cases of serous cystadenoma(SCA),30 cases of serous borderline tumor(SBT),and 45 cases of serous adenocarcinoma(SAC).Mueller matrix microscopy is used to obtain the polarimetry basis parameters(PBPs)of each case,combined with a machine learning(ML)model to derive the polarimetry feature parameters(PFPs)for distinguishing serous ovarian tumor(SOT).The correlation between the mean values of PBPs and the clinicopathological features of serous ovarian cancer was analyzed.The accuracies of PFPs obtained from three types of SOT for identifying dichotomous groups(SCA versus SAC,SCA versus SBT,and SBT versus SAC)were 0.91,0.92,and 0.8,respectively.The accuracy of PFP for identifying triadic groups(SCA versus SBT versus SAC)was 0.75.Correlation analysis between PBPs and the clinicopathological features of SOC was performed.There were correlations between some PBPs(δ,β,q_(L),E_(2),rqcross,P_(2),P_(3),P_(4),and P_(5))and clinicopathological features,including the International Federation of Gynecology and Obstetrics(FIGO)stage,pathological grading,preoperative ascites,malignant ascites,and peritoneal implantation.The research showed that PFPs extracted from polarization images have potential applications in quantitatively differentiating the SOTs.These polarimetry basis parameters related to the clinicopathological features of SOC can be used as prognostic factors.