Objective To explore the effectiveness of the generative large language model MedGo in nursing decision-making for elderly patients with multimorbidity. Methods A quasi-randomized controlled trial study was conducted involving 6 junior nurses, 6 senior nurses and the MedGo model from January 1, 2025 to March 31, 2025 at the Emergency Internal Medicine Ward of Shanghai East Hospital Affiliated to Tongji University. Clinical data of 120 elderly patients with multimorbidity were analyzed to compare the performance of the three groups in four tasks (nursing diagnosis assessment, nursing intervention formulation, complication identification, and complication prevention) from three evaluation dimensions: decision-making time consumption, decision accuracy, and decision-making quality. Results In terms of decision-making time, the senior nurse group completed all four tasks faster than the junior nurse group (P＜0.01), and the MedGo group completed all four tasks faster than the junior nurse group (P＜0.001) and the senior nurse group (P＜0.001). In terms of decision-making accuracy, senior nurse group scored higher than junior nurse group in all four tasks (P＜0.001), while the MedGo group outperformed the senior nurse group only in complication identification (P＜0.001). In terms of decision-making quality, the MedGo group scored higher than junior nurse group (P＜0.001) and senior nurse group (P＜0.001) in all four tasks. Conclusions The MedGo model demonstrates advantages of high efficiency, accuracy, and quality in nursing decision-making for elderly patients with multimorbidity; senior nurses outperform junior nurses in decision-making, providing diverse references for clinical nursing decision-making.

Objective To explore the current status of minor children parenting concerns among young and middle-aged breast cancer patients and investigate the influencing factors based on a random forest model so as to provide references for clinical interventions.Methods A convenience sampling method was used to select breast cancer patients undergoing treatment in our hospital between April and December 2023.A self-designed general information questionnaire,the Chinese version of parenting concerns questionnaire(PCQ),perceived social support scale(PSSS),concern about recurrence scale(CARS),and the brief illness perception questionnaire(BIPQ)were used for the study.A random forest model and the least absolute shrinkage and selection operator(LASSO)were employed to prioritise variables and filtered by significance.The selected variables were then incorporated into the multiple linear regression analysis.Results A total of 260 patients completed the study.The score of minor children parenting concerns of young and middle-aged breast cancer patients was 51.1±6.4.The multiple linear regression analysis,which included variables determined by random forest and LASSO regression(and sorted by the importance of influencing factors),showed that higher disease perception,lower perceived social support,greater concern about cancer recurrence,stage IV tumors,being divorced/widowed,and having more minor children were associated with higher parenting concerns among young and middle-aged breast cancer patients(all P<0.05),accounting for 57.0%of the total variance.Conclusion The minor children parenting concerns in young and middle-aged breast cancer patients are at a moderately high level and are influenced by a variety of factors.Healthcare professionals should develop targeted measures and interventions to reduce the parenting concerns among the patients.

Spine fracture and dislocation are common traumatic spinal conditions that often require surgical intervention due to compromised spinal stability. Surgical approaches include anterior, posterior, and combined anterior-posterior spinal procedures. According to the specific surgical requirements, patients may be placed in the prone position or repositioned between prone and supine positions during surgery. Intraoperative repositioning has become an essential step in patient positioning. However, during repositioning, patients with spinal fracture and dislocation are at increased risk for complications such as hemodynamic instability, nerve injury, and pressure injuries to the skin and soft tissue. Notably, due to the instability of the spinal cord, even minor manipulations can further exacerbate the damage, potentially leading to severe outcomes like paraplegia. Although the current clinical guidelines provide instructive recommendations for standard position, there remains no specific protocols for intraoperative repositioning in patients with spine fracture and dislocation. With a concern for the lack of clinical studies on positioning techniques, risk prevention, and operational norms for special patients, no applicable guidelines or standards are available. A consensus was required to provide clinical reference, meet the requirements of surgical treatment, and minimize the safety risks of patients caused by improper placement of positions. Professional Committee of Operating Room Nursing of Shaanxi Nursing Association organized experts in nursing management and operating room nursing from major hospitals across China to formulate Expert consensus on intraoperative repositioning for patients with spinal fracture and dislocation ( version 2025). The consensus provides 11 recommendations covering pre-repositioning preparation, intraoperative maneuvers, and post-repositioning observation, aiming to provide references for clinical standardization of the intraoperative repositioning process and protection of patients′ safety.

Objective:To explore the incidence, clinical features, genetic variant characteristics and prognosis of Glutaric acidemia type I (GA1) among neonates from Henan Province.Methods:A total of 814 625 neonates undergoing screening for inherited metabolic diseases by tandem mass spectrometry (MS/MS) at the Third Affiliated Hospital of Zhengzhou University from January 2016 to December 2022 were selected as the study subjects. A retrospective method was adopted to collect the clinical data of the patients. Whole exome sequencing was carried out to detect GCDH gene variants in individuals with positive results by GA1 newborn screening, and Sanger sequencing was used to verify the candidate variants. Based on the guidelines from the American College of Medical Genetics and Genomics (ACMG), the pathogenicity of candidate variants was rated. This study was approved by the Medical Ethics Committee of the Hospital (Approval Number: 2019 Medical Ethics Review No. 67). Results:Eight cases of GA1 were diagnosed among the 814 625 neonates. Blood glutaryl carnitine (C5DC) and urine glutaric acid (GA) levels of the 8 children were higher than the normal reference values. In total 12 variants were detected, all of which were missense variants. c. 1064G>A (p.Arg355His) was the most common one, accounting for 21.4% (3/14). Three GCDH gene variants, including 1297G>C (p.Ala433Pro), c. 467G>A (p.Gly156Asp) and c. 1125T>G (p.Cys375Trp), were previously unreported. REVEL software analysis predicted that all of the three variants were harmful. 3D protein structure modeling indicated that the three variants may cause amino acid residue alterations, and c. 1297G>C (p.Ala433Pro) and c. 1125T>G (p.Cys375Trp) may result in increase in hydrogen bonds and may affect the function of GCDH protein. By December 2023, one of the eight children had deceased, and another child had severe clinical symptoms with poor prognosis. Six children had a good prognosis, of which two had mild motor development delay and four had normal development without clinical symptoms. Conclusion:The incidence of GA1 in newborns screened by MS/MS in Henan Province is 1/101 828, and the carrier rate of pathogenic GCDH variants is 1/160. The c. 1064G>A (p.Arg355His) may be the hotspot variant of the GCDH gene among children with GA1 in Henan. Discovery of the three novel variants has enriched the mutational spectrum of the GCDH gene and provide a basis for the early diagnosis, treatment, prognosis and genetic counseling of this disease.

OBJECTIVE:Nowadays,machine learning algorithms are gradually being applied to predict stroke and cardiovascular disease.Compared with traditional regression models,machine learning can learn from data to achieve high prediction accuracy by exploring the flexible relationship between a large number of predictive features and outcome variables,providing a new method for the formulation of individualized treatment and rehabilitation programs.This study aims to systematically evaluate stroke functional recovery and prognosis prediction models based on machine learning,comprehensively assessing their predictive performance and clinical application potential to provide references for the development,application,and promotion of related predictive models.METHODS:This review was conducted following the PRISMA(Preferred Reporting Items for Systematic Reviews and Meta-Analyses)guidelines.Relevant literature on stroke prognosis prediction using machine learning methods was selected by searching PubMed,EMbase,Web of Science Core Collection,CNKI,WanFang,and the China Biomedical Literature Database,with the search period from January 1,2014,to July 1,2024.Two researchers independently screened the literature and extracted data based on inclusion and exclusion criteria,using the Prediction model Risk Of Bias ASsessment Tool(PROBAST)to assess model quality.RESULTS:(1)A total of 3 126 articles were obtained in the preliminary search.After screening and exclusion,18 articles were finally included.150 prediction models were constructed using 13 machine learning methods.The three most frequently used methods are Logistic Regression,Random Forest,and Extreme Gradient Boosting(XGBoost).Only one study was externally validated.Eight studies reported how the missing data were handled.(2)In terms of outcome indicators,8 studies used the combination of clinical data and imaging data to build models,9 studies only used clinical data to build models,and 1 study only used imaging data to build models.(3)Each of the 18 studies gave the most important characteristics of the study,with the most mentioned being the National Institute of Health Stroke Scale and age.All studies reported area under curve values ranging from 0.74 to 0.96,with the highest area under curve being 0.96.The overall risk of bias in all models was high.The high risk of bias in the field of model analysis was the main reason for the high risk of overall bias in all models.(4)The results of meta-analysis showed that age and National Institute of Health Stroke Scale score had significant influence on stroke prognosis,with age[MD=8.49,95％CI(6.24,10.75),P＜0.01]and National Institute of Health Stroke Scale score[MD=4.78,95％CI(2.56,7.00),P＜0.01].CONCLUSION:This study systematically evaluated the predictive model of functional recovery and prognosis of stroke based on machine learning,and all the models have good predictive potential.However,future studies should increase the sample size of the included model,adopt prospective studies,and add external validation of the model to improve the stability and prediction accuracy of the model,control the risk of bias,and contribute to the validation and promotion of the model in practical clinical applications.At the same time,the interpolation of missing values is more transparent and accurate.Although existing machine learning models show good predictive performance,it is also important to focus on the functionality and usability of the model,and the inclusion of features will reduce ease of use.We should develop easy to use model interfaces and user-friendly clinical tools to enable medical staff to better apply the model for clinical decision.

Objective To investigate the predictive value of serum human epididymis protein 4(HE4)levels in primary Sj?gren's syndrome(pSS)patients for renal injury.Methods A retrospective analysis of 77 pSS patients admitted to the Second People's Hospital of Yichang from September 2021 to August 2023 was performed,including 43 cases of renal injury group 34 instances of non-renal injury group,and 54 healthy physical examination subjects(HCs)as control group.Fasting peripheral venous blood(4ml)was collected to detect the serum levels of HE4,Cys-C,TNF-α,CR,C3,C4,immunoglobulin,Anti-SSA,Anti-SSB and other indicators,and analyzed the value of HE4 in the early diagnosis of kidney injury in pSS patients.Results Compared with HCs,the pSS patients had increased levels of HE4(120.02±103.86 pmol/L vs 57.5±16.52 pmol/L),Cys-C(1.30±0.81mg/L vs 0.87±014 mg/L),and the differences were statistically significant(t=4.382,3.860,all P<0.05).The serum levels of HE4,CR and TNF-α in the renal damage group were higher than those in the non-renal damage group,and the differences were statistically significant(t/χ2=2.552～4.371,all P<0.05).Pearson correlation analysis showed that,the levels of serum HE4,Cys-C,CR and TNF-α were all positively correlated with renal damage in pSS(r=0.287～0.546,all P<0.05).Logistic regression analysis showed that elevated serum HE4 level might be an independent risk factor for inducing renal damage in pSS(Wald χ2=11.932,P<0.05).Receiver operating characteristic(ROC)curve analysis showed that the best cut-offvalue of serum HE4 for the diagnosis of pSS renal damage was 70.46pmol/L,the maximum Youden index was 0.625,AUC(95%CI)=0.876(0.799～0.954).Conclusion The serum HE4 level in patients with pSS is positively correlated with renal injury and has predictive value for the occurrence of renal injury.

Objective:To investigate the management effectiveness of the integrated service mode of community cerebrovascular disease specialty and general practice team on stroke management.Methods:This was a randomized controlled trial. Patients with non-acute stroke who visited Fangzhuang Community Health Service Center in Fengtai District, Beijing between September 2022 and January 2023 were enrolled and randomly assigned to an integrated specialist-primary care group and a control group using a random number table method. Baseline clinical data were collected. Patients in the integrated specialist-primary care group received a collaborative care model combining stroke specialty services and primary care teams, while the control group received routine care. Neurological status, mental status, medical adherence, cognitive function, and psychological status were assessed using standardized scales at baseline, followed by evaluations every 3 months for 1 year, totaling 5 assessments.Results:A total of 142 non-acute stroke patients were included, with 71 in the specialist-primary care integrated service group, aged (69.5±7.6) years, including 43 males (60.56%), and 71 in the control group, aged (68.8±8.5) years, including 38 males (53.52%). There were no statistically significant differences in baseline clinical characteristics such as age, sex, and body mass index between the two groups (all P>0.05). Prior to the intervention, there were no statistically significant differences in the Mini-Mental State Examination scores between the two groups ( P>0.05). However, at 3, 6, 9, and 12 months post-intervention, the scores of the specialist-primary care integrated service group were significantly higher than those of the control group (all P<0.05). Before the intervention, there were no statistically significant differences between the two groups in the scores on Generalized Anxiety Disorder Scale and Patient Health Questionnaire Depression Scale (all P>0.05). At 6, 9, and 12 months post-intervention, the scores on these two scales for the specialist-primary care integrated service group were significantly lower than those of the control group (all P<0.05). There were no statistically significant differences in adherence behavior scores between the two groups before the intervention ( P>0.05), but at 6, 9, and 12 months post-intervention, the adherence behavior scores of the specialist-primary care integrated service group were significantly higher than those of the control group (all P<0.05). Conclusions:The integrated service mode of cerebrovascular disease specialists and general practice teams can effectively improve cognitive function, anxiety, depression, and compliance behavior, and is more conducive to the recovery of stroke patients in the community, which has popularization value.

Hepatic encephalopathy is a difficult and critical disease with rapid progression and limited treatment methods in the field of liver disease， and it is urgently needed to make breakthroughs in its pathogenesis. Selection of appropriate prevention and treatment strategies is of great importance in delaying disease progression and reducing the incidence and mortality rates. This article reviews the theory of “turbid toxin pathogenesis” and related prevention and treatment strategies for hepatic encephalopathy in traditional Chinese medicine/Zhuang medicine， proposes a new theory of “turbid toxin pathogenesis”， analyzes the scientific connotations of “turbid”， “toxin”， and the theory of “turbid toxin pathogenesis”， and constructs the “four-step” prevention and treatment strategies for hepatic encephalopathy， thereby establishing the new clinical prevention and treatment regimen for hepatic encephalopathy represented by “four prescriptions and two techniques” and clarifying the effect mechanism and biological basis of core prescriptions and techniques in the prevention and treatment of hepatic encephalopathy， in order to provide a reference for the prevention and treatment of hepatic encephalopathy.

OBJECTIVE: To explore the incidence, clinical features, genetic variant characteristics and prognosis of Glutaric acidemia type I (GA1) among neonates from Henan Province. METHODS: A total of 814 625 neonates undergoing screening for inherited metabolic diseases by tandem mass spectrometry (MS/MS) at the Third Affiliated Hospital of Zhengzhou University from January 2016 to December 2022 were selected as the study subjects. A retrospective method was adopted to collect the clinical data of the patients. Whole exome sequencing was carried out to detect GCDH gene variants in individuals with positive results by GA1 newborn screening, and Sanger sequencing was used to verify the candidate variants. Based on the guidelines from the American College of Medical Genetics and Genomics (ACMG), the pathogenicity of candidate variants was rated. This study was approved by the Medical Ethics Committee of the Hospital (Ethics Number: 2019 Medical Ethics Review No. 67). RESULTS: Eight cases of GA1 were diagnosed among the 814 625 neonates. Blood glutaryl carnitine (C5DC) and urine glutaric acid (GA) levels of the 8 children were higher than the normal reference values. In total 12 variants were detected, all of which were missense variants. c.1064G>A (p.Arg355His) was the most common one, accounting for 21.4% (3/14). Three GCDH gene variants, including 1297G>C (p.Ala433Pro), c.467G>A (p.Gly156Asp) and c.1125T>G (p.Cys375Trp), were previously unreported. REVEL software analysis predicted that all of the three variants were harmful. 3D protein structure modeling indicated that the three variants may cause amino acid residue alterations, and c.1297G>C (p.Ala433Pro) and c.1125T>G (p.Cys375Trp) may result in increase in hydrogen bonds and affect the function of GCDH protein. By December 2023, one of the eight children had deceased, and another child had severe clinical symptoms with poor prognosis. Six children had a good prognosis, of which two had mild motor development delay and four had normal development without clinical symptoms. CONCLUSION The incidence of GA1 in newborns screened by MS/MS in Henan Province is 1/101 828, and the carrier rate of pathogenic GCDH variants is 1/160. The c.1064G>A (p.Arg355His) may be the hotspot variant of the GCDH gene among children with GA1 in Henan. Discovery of the three novel variants has enriched the mutational spectrum of the GCDH gene and provide a basis for the early diagnosis, treatment, prognosis and genetic counseling of this disease.
Humans ; Amino Acid Metabolism, Inborn Errors/epidemiology* ; Glutaryl-CoA Dehydrogenase/chemistry* ; Infant, Newborn ; Female ; Neonatal Screening/methods* ; Male ; Brain Diseases, Metabolic/epidemiology* ; China/epidemiology* ; Retrospective Studies ; Mutation ; Genetic Variation ; Glutarates