Objective To systematically evaluate malnutrition risk factors in diabetic foot patients through systematic review and inform evidence-based nutritional interventions.Methods A top-down search of the literature on risk factors for malnutrition in patients with diabetic foot was conducted according to the"6S"pyramid model,using a computerized decision-making system,clinical guideline websites,professional association websites and databases,with a timeframe of up to March 2025 for the search.Totally 2 researchers independently performed literature screening,quality assessment,and data extraction.Meta-analysis was conducted using Stata 18 software.Results Totally 23 studies with a total sample size of 5 068 cases were included.There were 10 influencing factors being extracted,including age(OR=2.709),BMI(MD=0.709),duration of diabetes mellitus(OR=2.589),glyco-sylated hemoglobin(OR=2.190),albumin(MD=0.578),hemoglobin(OR=2.948),infection(OR=1.816),C-reactive protein(OR=2.228),Wagner classification of diabetic foot(OR=4.620)and degree of self-care(OR=0.220).The incidence of malnutrition in DFU patients who were assessed by the MNA-SF tool,the MNA tool and GLIM tool were 52.2％,70.2％and 41.4％.Conclusion The incidence of malnutrition in DFU patients is relatively high.Healthcare providers should continuously monitor the nutritional status of diabetic foot patients and implement personalized intervention plans to prevent malnutrition.

Objective To systematically evaluate malnutrition risk factors in diabetic foot patients through systematic review and inform evidence-based nutritional interventions.Methods A top-down search of the literature on risk factors for malnutrition in patients with diabetic foot was conducted according to the"6S"pyramid model,using a computerized decision-making system,clinical guideline websites,professional association websites and databases,with a timeframe of up to March 2025 for the search.Totally 2 researchers independently performed literature screening,quality assessment,and data extraction.Meta-analysis was conducted using Stata 18 software.Results Totally 23 studies with a total sample size of 5 068 cases were included.There were 10 influencing factors being extracted,including age(OR=2.709),BMI(MD=0.709),duration of diabetes mellitus(OR=2.589),glyco-sylated hemoglobin(OR=2.190),albumin(MD=0.578),hemoglobin(OR=2.948),infection(OR=1.816),C-reactive protein(OR=2.228),Wagner classification of diabetic foot(OR=4.620)and degree of self-care(OR=0.220).The incidence of malnutrition in DFU patients who were assessed by the MNA-SF tool,the MNA tool and GLIM tool were 52.2％,70.2％and 41.4％.Conclusion The incidence of malnutrition in DFU patients is relatively high.Healthcare providers should continuously monitor the nutritional status of diabetic foot patients and implement personalized intervention plans to prevent malnutrition.

Hip fractures are among the most common fractures in the elderly, presenting to be a leading cause of disability and mortality. Surgical treatment is currently the main treatment method for hip fractures. The incidence of perioperative malnutrition is increased after hip fractures in the elderly due to the comorbidities, decreased basal metabolic rate, accelerated protein breakdown, weakened anabolism and surgical stress. However, malnutrition not only increases the incidence of postoperative complications, but also leads to increased mortality, indicating an important role of perioperative nursing management of nutrition for the elderly patients with hip fractures. At present, there still lacks scientific guidance and application standards on perioperative nursing management of nutrition for the elderly patients with hip fractures. Therefore, the Orthopedic Nursing Committee of Chinese Nursing Association and the Editorial Board of Chinese Journal of Trauma organized relevant experts to formulate the Expert consensus on perioperative nursing management of nutrition for elderly patients with hip fractures ( version 2023) according to evidence-based medical evidences and their clinical experiences. Fourteen recommendations were made from aspects of nutrition screening, nutrition assessment, nutrition diagnosis, nutrition intervention and nutrition monitoring to provide guidance for perioperative nursing management of nutrition in elderly patients with hip fractures.

Objective:To analyze the compliance with enhanced recovery after surgery (ERAS) protocol in geriatric patients with fresh fracture.Methods:A retrospective study was conducted on the data of the patients with fresh extremity fracture which had been included in the ERAS perioperative protocol database during May 2019 and January 2022 at Department of Orthopaedic Trauma, Beijing Jishuitan Hospital. The patients ≥65 years were selected as a study group which was matched by a control group of the patients < 65 years in sex, fracture type and date frame of hospitalization at a ratio of 1∶1. The 2 groups were compared in the compliance with the 14 ERAS core perioperative elements.Results:The study group and the control group each included 66 patients who were matched in sex and fracture type. 62.1% (41/66) of the patients in the study group had combined diseases, significantly more than that [16.7% (11/66)] in the control group( P<0.001). Altogether, the compliance with the 14 ERAS core perioperative elements was 78.6 (71.4, 85.7) % in both groups, showing no significant difference between them ( P>0.05). Respectively, the compliance with the postoperative oral intake in the study group (80.3%, 53/66) was significantly lower than that in the control group (92.4%, 61/66) ( P<0.05); the compliance with the other 13 elements showed no statistically significant difference between the 2 groups ( P>0.05). Conclusion:The ERAS perioperative protocol can be carried out smoothly in geriatric patients with fresh fracture whose compliance may be comparable to that of the none-elderly patients.

Objective:To investigate the value of radiomics based on three-dimensional high resolution MR vessel wall imaging (3D HRMR-VWI) for identifying culprit plaques in symptomatic patients with middle cerebral atherosclerosis.Methods:The clinical and imaging features of 117 patients (139 middle cerebral artery plaques) with cerebrovascular diseases in Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology from October 2018 to October 2020 were respectively reviewed. Stratified random sampling was used to divide 139 plaques into training set (97 plaques) and validation set (42 plaque) at the ratio of 7∶3. The plaques were divided into 69 culprit plaques and 70 non-culprit plaques based on plaque MR features and clinical symptoms. The clinical and imaging characteristics of culprit plaques and non-culprit plaques were compared by independent sample t-test, Mann-Whitney U test and χ 2 test, and factors with significant difference between two groups in univariate analysis were further analyzed by multivariate logistic regression to find out the independent predictors of culprit plaques. Radiomics features were extracted, screened and radiomics model was constructed using pre-and post-contrast 3D HRMR-VWI based on the training set. The combined model was constructed by combining the independent predictors and radiomics model. Receiver operating characteristic curve and area under curve (AUC) were used to evaluate the efficacy of each model, and DeLong test was used to compare the efficacy of different models. Results:Significant difference was found in intraplaque hemorrhage, lumen area of stenosis, stenosis diameter, stenosis rate, plaque burden and enhancement rate between culprit and non-culprit plaques (all P<0.05). Multivariate logistic regression analysis confirmed that only intraplaque hemorrhage was the independent predictor for culprit plaques (OR=7.045,95%CI 1.402-35.397, P=0.018). In the validation set, the AUC of the pre-contrast 3D HRMR-VWI model was lower than that of the post-contrast 3D HRMR-VWI model ( Z=-2.01, P=0.044). The AUC of pre+post-contrast 3D HRMR-VWI model was not significantly different from that of post-contrast 3D HRMR-VWI model ( Z=0.79, P=0.427). The AUC showed no significant difference between combined model and pre+post-contrast 3D HRMR-VWI model ( Z=-0.59, P>0.05). The combined model showed the best performance in predicting culprit plaques of middle cerebral artery (AUC=0.939), with the sensitivity, specificity and accuracy of 95.24%, 76.19% and 85.71%. Conclusion:Radiomics based on 3D HRMR-VWI has potential values in identifying culprit plaques in symptomatic patients with middle cerebral atherosclerosis.

Objective: To develop a model incorporating radiomic features and clinical factors to accurately predict acute ischemic stroke (AIS) outcomes. Materials and Methods: Data from 522 AIS patients (382 male [73.2%]; mean age ± standard deviation, 58.9 ± 11.5 years) were randomly divided into the training (n = 311) and validation cohorts (n = 211). According to the modified Rankin Scale (mRS) at 6 months after hospital discharge, prognosis was dichotomized into good (mRS ≤ 2) and poor (mRS > 2); 1310 radiomics features were extracted from diffusion-weighted imaging and apparent diffusion coefficient maps. The minimum redundancy maximum relevance algorithm and the least absolute shrinkage and selection operator logistic regression method were implemented to select the features and establish a radiomics model. Univariable and multivariable logistic regression analyses were performed to identify the clinical factors and construct a clinical model. Ultimately, a multivariable logistic regression analysis incorporating independent clinical factors and radiomics score was implemented to establish the final combined prediction model using a backward step-down selection procedure, and a clinical-radiomics nomogram was developed. The models were evaluated using calibration, receiver operating characteristic (ROC), and decision curve analyses. Results: Age, sex, stroke history, diabetes, baseline mRS, baseline National Institutes of Health Stroke Scale score, and radiomics score were independent predictors of AIS outcomes. The area under the ROC curve of the clinical-radiomics model was 0.868 (95% confidence interval, 0.825–0.910) in the training cohort and 0.890 (0.844–0.936) in the validation cohort, which was significantly larger than that of the clinical or radiomics models. The clinical radiomics nomogram was well calibrated (p > 0.05). The decision curve analysis indicated its clinical usefulness. Conclusion The clinical-radiomics model outperformed individual clinical or radiomics models and achieved satisfactory performance in predicting AIS outcomes.

Objective:To evaluate the effectiveness of perioperative fasting abbreviation in traumatic patients with orthopaedic trauma and diabetes mellitus undergoing selective surgery.Methods:The patients were selected for this prospective nonrandomized controlled study who had undergone selective surgery from June 2019 to June 2021 at Department of Orthopaedic Trauma, Beijing Jishuitan Hospital. They were divided into an intervention group and a control group according to the wards where they stayed. The intervention group was fasted for solids from 0 o'clock on the surgery day and received oral solution with 6.25% maltodextrin which had been prepared by the nutritional department 3 hours prior to surgery. The control group was fasted for either liquids or solids from the midnight before surgery. All patients were evaluated according to the wake-up score and defensive reflex score after surgery. Once they were awakened, they were allowed slag-free drinks. Normal food was allowed if there was no discomfort after 2 hours. The 2 groups were compared in terms of basic information, actual preoperative fasting time, total amount of preoperative drinking, and postoperative time for initial drinking and eating. The perioperative subjective feelings (anxiety, thirst, hunger, nausea, fatigue, dizziness, sweating, stomach discomfort, etc.), grip strength and blood glucose were observed and compared between the 2 groups. Adverse reactions in the 2 groups were also observed.Results:A total of 135 patients were included, including 52 in the intervention group and 83 in the control group. The intervention group consisted of 22 males and 30 females aged from 30 to 84 years; the control group consisted of 39 males and 44 females aged from 29 to 81 years. There was no significant difference in the basic information between the 2 groups, showing comparability ( P>0.05). The intervention group had significantly shorter preoperative fasting time [3.5 (2.5, 6.3) h versus 12.0 (9.0, 16.0) h], significantly higher water intake before surgery [300 (200, 300) mL versus 100 (100, 200) mL], significantly shorter postoperative fasting time [0.08 (0, 1.25) h versus 2.00(0, 6.00) h], and significantly reduced time to return to normal diet [2.0 (2.0, 2.3) h versus 3.0(2.0, 6.0) h] than the control group (all P<0.05). The symptoms of anxiety, fatigue, sweating, and stomach discomfort in the intervention group were significantly fewer than those in the control group throughout the evaluation period. The thirst in the intervention group was significantly alleviated than that in the control group immediately after returning to the ward after surgery, and the dizziness and hunger were significantly alleviated than those in the control group when the patients left the ward to the operation room before surgery and immediately after returning to the ward. The symptom of nausea after returning to normal diet in the intervention group was significantly relieved compared with the control group. All the comparisons above showed statistically significant differences ( P<0.05). The blood glucose in the intervention group 2 hours after taking slag-free drinks was significantly higher than that in the control group ( Z=-2.108, P=0.035). There was no significant difference in the blood glucose between the 2 groups during other measurement periods ( P>0.05). There were no serious adverse reactions in either of the 2 groups. Conclusion:The protocol of perioperative fasting abbreviation may be safe and feasible for the patients with orthopaedic trauma and diabetes mellitus undergoing selective surgery, because it shows benefits of improving the patients' subjective feelings and stabilizing the blood glucose perioperatively.

Objective:To analyze the factors which may influence postoperative early ambulation in patients with fresh fracture so as to further optimize the perioperative protocol based on the concept of enhanced recovery after surgery (ERAS).Methods:A retrospective analysis was conducted of the patients who had been treated for a single fresh fracture at the extremity, pelvis or acetabulum from May 2019 to July 2019. Collected were the data concerning basic features of patients, perioperative ERAS management and surgery, as well as early ambulation on the day of surgery or the first day after surgery. The patients were divided into an early ambulation group and a non-early ambulation group according to the time of ambulation. Statistical analyses were performed of the relationships between early ambulation and 20 potential factors concerning basic features of patients, perioperative ERAS management and surgery. Logistic correlation analysis was performed to identify risk factors for postoperative early ambulation.Results:A total of 306 patients were included, including 96 upper limb, 203 lower limb, 5 acetabular and 2 pelvic fractures. Of them, 150 ambulaed from bed on the day of surgery or the first day after surgery while 156 did not. Significant differences were observed between the 2 groups in fracture site, intake of carbohydrate liquids the night before surgery and the day of surgery, catheter indwelling, intraoperative liquid transfusion volume and postoperative complications ( P < 0.05). Logistic correlation analysis of the relationship between the above factors and postoperative early ambulation found that fracture site and intraoperative liquid transfusion volume were significantly correlated with postoperative early ambulation ( P < 0.05). Conclusions:About half of the patients with a single fresh fracture may ambulate early after surgery. Fracture site and intraoperative liquid transfusion volume may be significantly correlated with postoperative early ambulation.

OBJECTIVE: To detect potential variant in an ethical Han Chinese pedigree affected with breast cancer. METHODS: The proband and her relatives were subjected to next-generation sequencing using a target capture sequencing kit containing 121 cancer-related genes. Candidate variants were selected by analysis of their type, frequency in population, and segregation with the phenotype. Candidate variant was verified by Sanger sequencing and TA cloning. RESULTS: A c.2013_2014ins GT variant was detected in the BRCA1 gene among all breast cancer patients from this pedigree but not among healthy females. The variant was not recorded in the 1000 Genome Project database or the Exome Aggregation Consortium (ExAC) database. The frameshifting insertion was predicted to form an premature stop codon in gene transcript and can give rise to a truncated protein. CONCLUSION The BRCA1 c.2013_2014ins GT variant probably underlies the pathogenesis of breast cancer in this Chinese pedigree.
Asian Continental Ancestry Group ; BRCA1 Protein ; genetics ; Breast Neoplasms ; genetics ; Exome ; Female ; High-Throughput Nucleotide Sequencing ; Humans ; Pedigree ; Phenotype