This paper reviewed the development history of doctor-patient shared decision-making （SDM） at home and abroad， emphasizing the importance of cross-cultural analysis in constructing a Chinese doctor-patient SDM model. It also delved into the relationship between Western “individualistic” sociocultural values and doctor-patient SDM， as well as the influence of China’s “collectivist” sociocultural values on doctor-patient SDM， revealing significant disparities in doctor-patient SDM models under distinct sociocultural contexts. Although the doctor-patient SDM theory in China originated from the West， this theory requires profound “collision” and adaptation with local Chinese culture to form a localized theory suited to China’s national conditions. Through cross-cultural adaptation and integrating China’s familism tradition and medical ethics concepts， the future construction of the doctor-patient SDM model in China should emphasize family members’ involvement and seek cultural balance to facilitate its widespread application in clinical practice.

Objective:To provide preimplantation genetic testing (PGT) for a patient with Incontinentia pigmenti (IP) due to IKBKG gene variant but without family samples through construction of single nucleotide polymorphism (SNP)-based haplotype by Long-read sequencing (LRS) technology. Methods:A female IP patient with a heterozygous IKBKG c. 1167dup variant but without family genetic data who sought genetic counseling at Women and Children′s Hospital of Ningbo University in November 2021 was selected as the study subject. The IKBKG gene has a highly homologous pseudogene IKBKGP1. Genomic DNA was extracted from peripheral blood samples from the couple, and LRS was used to obtain informative SNP loci flanking the variant locus, enabling the construction of SNP haplotype with a long segment spanning from the non-homologous region of IKBKG to the variant site. Trophoblast cells were biopsied from blastocysts fertilized through intracytoplasmic sperm injection, and next-generation sequencing (NGS) was used to determine the SNP information of the embryos. Linkage analysis with the parental SNP haplotypes was conducted to detect the carrier status of the embryos and exclude chromosomal aneuploidies. Sanger sequencing was carried out to validate the result. A euploid embryo without the pathogenic variant was selected for transfer. Prenatal diagnosis was carried out by amniocentesis at mid-trimester to verify the result of PGT, and follow-up was conducted after the baby was born. This study has been approved by the Ethics Committee of the Women and Children′s Hospital of Ningbo University (Ethics No. EC2023-094). Results:In total seven blastocysts were tested, and PGT results indicated that two embryos were euploid and did not carry the pathogenic variant. One euploid embryo was transferred, which resulted in a singleton pregnancy. Amniocentesis at 24 weeks of gestation confirmed that the status of fetal IKBKG gene, and its chromosomal status was consistent with the PGT results. A healthy male infant was born at 38 + 6 weeks of gestation. Conclusion:For IP patients with de novo mutation or without family samples, PGT with LRS can directly construct the SNP-based haplotype while avoiding interference from pseudogenes, providing an effective strategy for PGT.

Digital health education is a crucial means to enhance the accessibility and effectiveness of medical services.The"new digital gap"faced by the elderly population makes them a marginalized group in digital health education and disease management.This paper takes cognitive load theory as its starting point,outlines the theoretical foundation of cognitive load,and systematically reviews the factors that influence cognitive load in digital health education for the elderly and propose corresponding optimization inspirations.The aim is to provide references for optimizing digital education models and program designs for the elderly.

Objective:To evaluate the incidence, clinical features, factors affecting initial diagnosis, efficacy, and safety of therapy and prognosis of small intestinal Dieulafoy lesions (DL).Methods:Clinical data including clinical background, diagnosis, and treatment details of patients who were admitted to the Department of Gastroenterology, Air Force Medical Center, for suspected small bowel bleeding, diagnosed as having small bowel DL and treated with balloon-assisted enteroscopy (BAE) were retrospectively analyzed from November 2017 to March 2024.Results:Among 800 patients, 30 cases (3.75%, 30/800, 17 males and 13 females) were diagnosed as having small intestine DL with the mean age of 60.90 years. Clinical symptoms included melena (56.67%, 17/30), hematochezia (43.33%, 13/30), and hemodynamic instability (30.00%, 9/30). Active bleeding occurred in 23 (76.67%) patients. Comorbidities existed in 70.00% (21/30) and 33.33% (10/30) used long-term antithrombotic agents. Diagnosis was confirmed after a single BAE in 63.33% (19/30) and after multiple BAEs (mean 1.6 procedures) in 36.67% (11/30). Lesions were predominantly located at jejunal. All patients achieved successful treatment with a single BAE procedure. The median follow-up period was 12.25 months (range: 5.25-23.00 months). Five cases (16.67%) experienced recurrent bleeding, with one case transfered to surgical intervention. Two cases (6.67%) reported post-operative symptoms of dizziness and fatigue, which resolved after symptomatic management. Multivariate analysis showed that long-term oral anticoagulant therapy ( OR=0.06, 95% CI: 0.01-0.73) was an independent predictor of single-session diagnosis. Conclusion:Small intestinal DL is rare and challenging to diagnose. Antithrombotic therapy may facilitate the diagnosis of DL at the first BAE. Jejunal localization is common, and combined endoscopic therapy (including clipping) is effective and safe.

Objective:s To investigate the risk factors for delayed encephalopathy after acute carbon monoxide poisoning (DEACMP) in patients with acute carbon monoxide poisoning (ACOP) and to develop predictive models based on machine learning algorithms.Methods:Patients with ACOP hospitalized at the First Affiliated Hospital of Zhengzhou University from August 2019 to October 2024 were included, with the occurrence of DEACMP as the outcome measure. The dataset was randomly divided into training and validation sets at a ratio of 7:3. Lasso regression was used to select features influencing the outcome in training sets. Nine machine learning models—including Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Support Vector Machine (SVM)—were constructed. Receiver operating characteristic (ROC) curves were plotted and the area under the curve (AUC) calculated for each model. Calibration curves were used to assess accuracy, and decision curve analysis (DCA) was applied to evaluate clinical utility. The SHapley Additive exPlanations (SHAP) method was employed to visualize and interpret the best-performing model.Results:A total of 264 ACOP patients were included, of whom 54 (20.5%) developed DEACMP. Lasso regression identified eight key feature variables. Based on these factors, predictive models were constructed, showing good AUC stability across the nine machine learning models in both training (0.92–0.99) and validation sets (0.85–0.91). The RF model performed best, with an AUC of 0.99 in the training set and 0.90 in the validation set; its calibration curve and DCA curve also demonstrated excellent performance. SHAP analysis of the RF model revealed the importance ranking of factors from highest to lowest as follows: Glasgow Coma Scale (GCS) score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, diastolic blood pressure (DBP), and drinking history.Conclusions:The RF model exhibited the highest predictive performance for DEACMP occurrence in ACOP patients. The influencing factors, ranked in order of importance from highest to lowest, are as follows: GCS score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, DBP, and drinking history.

OBJECTIVE: To provide preimplantation genetic testing (PGT) for a patient with Incontinentia pigmenti (IP) due to IKBKG gene variant but without family samples through construction of single nucleotide polymorphism (SNP)-based haplotype by Long-read sequencing (LRS) technology. METHODS: A female IP patient with a heterozygous IKBKG c.1167dup variant but without family genetic data who sought genetic counseling at Women and Children' Hospital of Ningbo University in November 2021 was selected as the study subject. The IKBKG gene has a highly homologous pseudogene IKBKGP1. Genomic DNA was extracted from peripheral blood samples from the couple, and LRS was used to obtain informative SNP loci flanking the variant locus, enabling the construction of SNP haplotype with a long segment spanning from the non-homologous region of IKBKG to the variant site. Trophoblast cells were biopsied from blastocysts fertilized through intracytoplasmic sperm injection, and next-generation sequencing (NGS) was used to determine the SNP information of the embryos. Linkage analysis with the parental SNP haplotypes was conducted to detect the carrier status of the embryos and exclude chromosomal aneuploidies. Sanger sequencing was carried out to validate the result. A euploid embryo without the pathogenic variant was selected for transfer. Prenatal diagnosis was carried out by amniocentesis at mid-trimester to verify the result of PGT tests, and follow-up was conducted after the baby was born. This study has been approved by the Ethics Committee of Women and Children's Hospital of Ningbo University (Ethics No. EC2023-094). RESULTS: A total of seven blastocysts were tested, and PGT results indicated that two embryos were euploid and did not carry the pathogenic variant. One euploid embryo was transferred, which resulted in a singleton pregnancy. Amniocentesis at 24 weeks of gestation confirmed that the status of fetal IKBKG gene, and its chromosomal status was consistent with the PGT results. A healthy male infant was born at 38+6 weeks of gestation. CONCLUSION For IP patients with de novo mutation or without family genetic samples, PGT with LRS can directly construct the SNP-based haplotype while avoiding interference from pseudogenes, providing an effective strategy for PGT.
Female ; Humans ; Male ; Pregnancy ; Genetic Testing/methods* ; Haplotypes/genetics* ; High-Throughput Nucleotide Sequencing/methods* ; I-kappa B Kinase/genetics* ; Incontinentia Pigmenti/diagnosis* ; Polymorphism, Single Nucleotide/genetics* ; Preimplantation Diagnosis/methods* ; Infant, Newborn

This study was aimed at investigating the effectiveness of various host nucleic acid removal and non-specific amplifica-tion techniques in animal tissue samples,to increase the accuracy of pathogen identification in tissue samples.Simulated samples were prepared with a mixture of mouse lung tissue homogenates and Klebsiella pneumoniae fluids,and processed with six host nucleic acid removal kits and three non-specific amplification techniques.The effectiveness of each method in removing host DNA and enriching nucleic acids of pathogenic microorganisms was evaluated through real-time fluorescence quantitative PCR and high-throughput se-quencing.For host nucleic acid removal techniques,the method of selective cleavage and quantitative degradation of host DNA(Com-plete5 kit)effectively decreased the host nucleic acid content in tissue samples and increased the relative abundance of pathogen nucleic acids.In contrast,the magnetic bead method for host DNA removal(Next microbiome DNA enrichment Kit kit)was less effec-tive.At lower pathogen concentrations(77 CFU/mL),the Vazyme kit was more effective than the other kits in removing host nucleic acids.Non-specific amplification techniques(MALBAC whole genome amplification,MDA isothermal amplification,and random primer amplification)were not applicable to tissue samples and were not effective in increasing the relative abundance of pathogen nucleic acids.Selective lysis and quantitative degradation of host DNA were suitable for processing tissue samples with high host back-ground and low pathogenic microorganism levels,whereas non-specific amplification methods were not applicable to tissue samples for pre-processing of macro-genome high-throughput sequencing.

Purpose To investigate the value of automated segmentation technique for quantitative study of the volume of each subregion of medial temporal lobe epilepsy(MTLE)with hippocampal sclerosis(HS).Materials and Methods A total of 37 patients with unilateral HS diagnosed by MRI or pathologically confirmed in General Hospital of Ningxia Medical University from January 2021 to May 2023 were prospectively included,including 24 cases of left-sided HS(L-HS)and 13 cases of right-sided HS(R-HS),and 42 healthy volunteers matched in gender and age during the same period were included as a control group.All subjects underwent T1-weighted equal voxel three-dimensional magnetisation-prepared rapid gradient-echo(3D T1 MP-RAGE)scanning.3D T1 MP-RAGE was post-processed by Freesurfer V7 to obtain volume data of the hippocampus and its subregions.The volume data were normalized and the volume asymmetry index was calculated.Within-group and between-group comparisons were performed for standardized volumes of the hippocampus and its subregions,and between-group comparisons were performed for volume asymmetry index values.The diagnostic efficacy of the two indices was assessed and compared using the subject operating characteristic curve and area under the curve.Results The volumes of the hippocampus and its subregions on the affected side were smaller than those on the contralateral side in both the L-HS and R-HS groups,and the volumes of the left hippocampus and its subregions were smaller than those on the right side in the control group,and the differences were statistically significant(t/Z=-15.159-8.324,all P＜0.05).The volumes of the left side of the hippocampus and its subregions in the L-HS group were smaller than those of the left hippocampus and its subregions in the R-HS group and in the control group,and the volumes of the right side of the hippocampus and its subregions in the R-HS group were smaller than those of the L-HS group and the right hippocampus and its subregions of the control group,and the differences were statistically significant(P＜0.05).The differences in the volumes of the right side of the L-HS group and the left side of the R-HS group and the corresponding side of the control group were not statistically significant(P＞0.05).The differences in the volume asymmetry index values of the L-HS group compared with those of the R-HS group and the control group,and those of the R-HS group compared with those of the control group were all statistically significant(P＜0.05).Except for the diagnostic efficacy of volume asymmetry index values of the hippocampus and subiculum in the L-HS group,which was better than that of the volume,and the difference was statistically significant(Z=2.035,1.989,both P＜0.05),the comparison of the volume and volume asymmetry index values of each volume and volume asymmetry index value of the rest of the hippocampus and subregion was not statistically significant(P＞0.05).Conclusion The automatic segmentation technique is of great value for the quantitative study of hippocampus and its subregion volume in MTLE-HS,which can provide more accurate imaging reference for clinical practice.

Objective:To identify and summarize the best evidence for pelvic floor muscle exercises (PFME) in preventing pelvic floor dysfunction (PFD) during pregnancy.Methods:A systematic search was conducted in databases including UpToData, Cochrane Library, PubMed, Web of Science, Embase, China National Knowledge Infrastructure, VIP, Wanfang Data, SinoMed, Yiigle, and Joanna Briggs Institute Evidence Based Healthcare Center Database and so on. The search spanned from January 1, 2018, to March 16, 2023. Two researchers independently evaluated the quality of clinical decision-making articles, expert consensus, and systematic reviews, while four researchers appraised the quality of guidelines. Evidence extraction and grading were performed independently by two researchers.Results:A total of nine documents were included: three guidelines, two clinical decision-making articles, one expert consensus, and three systematic reviews. A total of 20 evidence-based recommendations were summarized in six categories: indications and contraindications, assessment, implementation plans, supervision and follow-up, management, and outcome evaluation.Conclusions:PFME during pregnancy is effective in preventing PFD. Healthcare providers should integrate best evidence into clinical practice to develop tailored PFME plans for pregnant women, aiming to prevent PFD.

Objective:To explore the current status of back patting and sputum drainage nursing performed by nurses in the Neurological Intensive Care Unit (NICU) and their design requirements for a nursing robot, providing a reference for the design of nursing robots for back patting and sputum drainage.Methods:This descriptive qualitative study employed a purposive sampling method. From January to February 2024, semi-structured interviews were conducted with 15 nurses from the NICU of Xuanwu Hospital, Capital Medical University. Data were analyzed using Colaizzi 7-step analysis method.Results:A total of three major issues were identified regarding the current practice of back patting and sputum drainage nursing by NICU nurses: heavy workload and time-consuming; difficulties in patient positioning and maintenance; deficiencies in nursing care. The design requirements for a back patting and sputum drainage nursing robot were categorized into two main themes with 10 sub-themes: functional requirements (turning function, supporting function, intelligent recognition function, abnormality detection with alarm or pause feature, and evaluation of post-percussion effectiveness) ; design requirements (basic functional design, support component design, percussion component design, coordination between support and percussion functions, and overall structural design) .Conclusions:Understanding the design requirements of NICU nurses for a back patting and sputum drainage nursing robot provides valuable insights for developing a safe, scientific, reasonable, and effective robotic system.