Objective To analyze the relationship of protein intake level with high-sensitivity C-reactive protein (hs-CRP), interleukin-6 (IL-6), and tumor necrosis factor-α (TNF-α) in patients with diabetic kidney disease (DKD) and its influence on prognosis. Methods A total of 325 patients with DKD admitted from June 2021 to June 2024 were included and classified into a low protein group and a high protein group. The levels of hs-CRP, IL-6, and TNF-α were compared between the two groups of patients before follow-up and after 1 year of follow-up. The correlation was analyzed by linear mixed model. The incidence of endpoint events during follow-up and disease progression-free survival time were compared between the two groups. Results The inflammatory indicators exhibited no statistical differences between the two groups before follow-up (P>0.05). After 1 year of follow-up, the levels of hs-CRP, IL-6, and TNF-α in the two groups were higher than those before follow-up, and the levels in the high protein group were higher than those in the low protein group (P<0.05). Linear mixed model analysis suggested that the protein intake level, time, and the interaction term of protein intake level × time were correlated with the changes of hs-CRP, IL-6 and TNF-α levels (P<0.05). The incidence rate of endpoint events in the high-protein group during follow-up was 24.84% (40/161), which was significantly higher than 12.80% (21/164) in the low-protein group (χ²=7.724, P=0.005). The disease progression-free survival time was longer in the low-protein group than that in the high-protein group (Log Rank χ²=9.007, P=0.003). Conclusion The level of protein intake in patients with diabetic kidney disease is closely related to inflammatory response and prognosis.

Objective:To investigate the practical value of pancreatic duct bind with supporting tube combined with single-needle suture for pancreaticojejunostomy in laparoscopic pancreaticoduodenectomy (LPD).Methods:The clinical data of 65 patients with pancreatic head or periampullary tumors who underwent LPD at the First Affiliated Hospital of Kunming Medical University between January 2021 and June 2024 were retrospectively analysed. Among them, 31 were male and 34 were female, aged (57.7±13.3) years. The patients were divided into two groups based on the method of pancreaticojejunostomy: 22 patients who underwent pancreatic duct bind with supporting tube single-needle suture pancreaticojejunos-tomy were included in the study group, 43 patients who underwent traditional pancreatic duct-to-mucosa pancreaticojejunostomy were included in the control group. The clinical data of the patients, including gender, age, operation time, pancreaticojejunostomy time, and postoperative complications, etc. were recorded.Results:Compared with the control group, the pancreaticojejunostomy time [(25.3±2.4) min vs. (47.0±3.9) min] and operation time [(425.2±52.1) min vs. (453.7±30.8) min] of the study group were both shortened, and the differences were statistically significant (both P<0.05). There was no statistically significant difference in the postoperative complication rate between the study group and the control group [18.2% (4/22) vs. 34.9% (15/43), P=0.161]. The incidence of clinically relevant pancreatic fistula in the study group was lower than that in the control group [4.5% (1/22) vs. 30.2% (13/43)], and the difference was statistically significant ( P=0.024). Conclusion:Pancreatic duct bind with supporting tube combined with single-needle suture pancreaticojejunostomy is safe and effective in LPD. Compared with traditional pancreatic duct-to-mucosa pancreaticojejunostomy, pancreatic duct bind with supporting tube combined with single-needle suture pancreaticojejunostomy has advantages in terms of clinically relevant pancreatic fistula rate, operation time, and pancreaticojejunostomy time.

Objective:To compare the efficacy of body posture combined with pharmacotherapy and pharmacotherapy alone in the treatment of chronic subdural hematoma(CSDH).Methods:Firstly, retrospective case series study was conducted. Thirty cases of CSDH that had received body posture combined with pharmacotherapy at Department of Neurosurgery, Huashan Hospital Affiliated to Fudan University from December 2016 to October 2020 were studied retrospectively. Twenty-seven patients were male, and 3 patients were female. The age of patients ( M(IQR)) was 66(16) years (range:28 to 84). Nineteen patients had unilateral hematoma, and 11 patients had bilateral hematoma. All patients received pharmacotherapy and body posture therapy that was to raise their lower limbs 20 to 30 cm with leg lift pad and get abdominal compressed with customized abdominal belt in supine position. Patients were required to maintain the body posture as much as possible, with the maximum to 16 to 18 hours per day. Patients with unilateral hematoma should tilt the head to the affected side and avoid tilting it to the opposite side. For patients with bilateral hematoma, there was no need for head lateralization. Patient were treated with oral dexamethasone and atorvastatin simultaneously. The preliminary efficacy of body posture combined with pharmacotherapy was determined by hematoma improvement rate which was analyzed by Clopper-Pearson method. Then, the multi-center, prospective, randomized controlled trial had carried out in 9 medical centers from August 2020 to November 2021. The stratified block randomization method was adopted. Patients were randomized in a ratio of 1∶1 to either receive pharmacotherapy alone(the control group) or body posture combined with pharmacotherapy(the experiment group) for 3 months and followed up for 6 months. Effective treatment was defined as complete absorption of hematoma, or the hematoma volume decreased by more than 10 ml and Markwalder grading scale score had improved by more than 1 point compared to the baseline. The efficacy rate and surgery conversion rate at 3 months and recurrence at 6 months were observed. Comparison between groups was performed with paired sample t test, Mann-Whitney U test, χ2 test, corrected χ2 test, or Fisher exact probability method. Logistic regression was used to compare the effective rate and operation rate between the two groups. Results:In the respective study, 30 patients completed follow-up 13 to 353 days after treatment. At the last follow-up, the incidence of almost complete absorption or significantly absorption of hematoma (hematoma volume was significantly reduced accompanied by symptom improvement) was 93.3%. The 95% CI for the incidence that analyzed by the Clopper-Pearson method was 77.9% to 99.2%. One hundred and six patients were enrolled in the multicenter study. Fifty-five patients underwent body posture combined with pharmacotherapy. The age was 74(17) years (range:26 to 92). Thirty-nine patients were males and 16 were females. Fifty-one patients underwent pharmacotherapy alone. The age was 69(12) years (range:48 to 84). Thirty-seven patients were males and 14 were females. The length of body posture recorded in diary card was (15.7±2.3) hours(range:7.6 to 19.3 hours). The efficacy rate in the body posture combined with pharmacotherapy group and pharmacotherapy alone group were 83.6% (46/55) and 56.9% (29/51), respectively at 3 months. The result of the logistic regression analysis showed that the efficacy of body posture combined with pharmacotherapy group was better than that of pharmacotherapy alone group ( OR=3.88,95% CI:1.57 to 9.58, P=0.003). Surgery rate in the body posture combined with pharmacotherapy group and pharmacotherapy alone group were 5.5% (3/55) and 21.6% (11/51) respectively. The result of Logistic regression showed that the pharmacotherapy alone group was more likely to be converted to surgery ( OR=0.21,95% CI:0.05 to 0.80, P=0.023). At the 6 months, no recurrence of cases was found in the body posture combined with pharmacotherapy group. However, the recurrence rate of pharmacotherapy alone group was 6.3% (3/48), there was no significant difference between the two groups ( P>0.05). Conclusion:The effect of body posture combined with pharmacotherapy for chronic subdural hematoma is better than that of pharmacotherapy alone.

Objective Based on the general belief that the tongue characteristics of blood stasis constitution is"purple tongue,tortuous sublingual vessels",this study systematically summarized blood stasis tongue characteristics using artificial intelligence image processing combined with expert evaluation.Methods A physical questionnaire survey was conducted on 1275 college students,and 100 cases were randomly selected from the blood stasis constitution group and the mild constitution group.After collecting the tongue images,Unet,OpenCV,YOLOv5 and YOLOv8 algorithms combined with expert evaluation method were used to extract and analyze the tongue features of the two groups.By comparing the differences of tongue image characteristics between the blood stasis constitution group and the mild constitution group,the tongue characteristics of blood stasis constitution were systematically summarized.Results Compared with the mild constitution group,the proportion of light dark tongue and light purple tongue in the blood stasis constitution group was significantly higher(P＜0.05).The I value,L value and a value of the tongue area 1 in the blood stasis constitution group were significantly larger(P＜0.01,P＜0.05).The S value and a value of area 2 and area 3 were significantly larger(P＜0.05),and the I value,L value,a value and b value of area 5 were significantly smaller(P＜0.01,P＜0.05).Compared with the mild constitution group,the proportion of tooth marks tongue in the blood stasis constitution group was significantly higher(P＜0.01),the proportion of cracked tongue in the blood stasis constitution group was significantly larger(P＜0.05),and the number of tooth marks,crack area,relative height of crack and relative width of crack in the blood stasis constitution group were significantly larger(P＜0.01,P＜0.05).Compared with the mild constitution group,the I value,L value,a value and b value of tongue coating area 1 in the blood stasis constitution group were significantly larger(P＜0.01,P＜0.05),the I value,L value,S value,a value and b value of tongue coating area 2 were significantly larger(P＜0.01,P＜0.05),the I value,S value,a value and b value of tongue coating area 3 were significantly larger(P＜0.01,P＜0.05),the b value of tongue coating area 4 was significantly larger(P＜0.05),the S value,a value and b value of tongue coating area 5 were significantly larger(P＜0.01,P＜0.05).The proportion of thick tongue coating and greasy tongue coating in the blood stasis group was significantly higher than that in the gentleness group(P＜0.05).Compared with the mild constitution group,the proportion of tortuous,thickened and nodular sublingual collaterals in the blood stasis constitution group was significantly larger(P＜0.01,P＜0.05).The a value,I value,S value,b value and relative width of sublingual collaterals in the blood stasis constitution group were significantly larger(P＜0.01,P＜0.05).Conclusion On the basis of the general belief that the characteristics of blood stasis constitution tongue are dark purple tongue and dark purple sublingual collaterals/varicose veins/thickening,blood stasis constitution people also have new tongue characteristics,such as redder tips and edges,more teeth marks and fissures,thicker and greasier coatings,and yellow fur.These findings offer new insights for"to identify the constitution of traditional Chinese medicine and prevent diseases by observing the tongue manifestation".

Objective To explore the association between plasma fibrinogen(FBG)levels and the risk of in-hospital mortality among patients with septic shock.Methods The clinical data of 563 patients diagnosed with septic shock in the Intensive Care Unit(ICU)of Shenzhen Second People's Hospital from August 1,2018,to December 31,2020,were collected.Patient demographic information,basic vital signs,and blood routine and biochemical indices upon admission were gathered.Moreover,the Acute Physiology and Chronic Health Evaluation Ⅱ(APACHEⅡ)scores were calculated.Binary logistic regression analysis was conducted to explore the correlation between plasma fibrinogen levels and in-hospital mortality in patients with septic shock.Additionally,a generalized additive model(GAM)and smoothed curve fitting were employed to investigate the nonlinear relationship between plasma fibrinogen and in-hospital mortality.Receiver operating characteristic(ROC)curves were constructed for FBG and APACHEⅡ scores to predict in-hospital mortality in septic shock patients.The area under the curve(AUC)was computed to compare the predictive efficacies of the two.Furthermore,a segmented linear regression model was utilized for quantification.Results Binary logistic regression analysis demonstrated a significant negative correlation between plasma fibrinogen levels and in-hospital mortality among patients with septic shock(P<0.05).GAM modeling and smoothed curve fitting disclosed a nonlinear association between plasma fibrinogen levels and in-hospital mortality,with an inflection point at 5.54 g/L.The segmented linear regression model indicated that,to the left of the inflection point(FBG≤5.54 g/L),for every 1 g/L decrease in plasma fibrinogen,the risk of death increased by 24.5%(OR=0.755,P=0.003).Conversely,to the right of the inflection point(FBG>5.54 g/L),the relationship was not statistically significant(OR=1.049,P=0.685).The findings of the subgroup analyses indicated that the characteristics of the subgroups did not alter the relationship between blood fibrinogen levels and in-hospital mortality.Conclusion There is a nonlinear relationship between FBG levels and in-hospital mortality in patients with septic shock,which has predictive value for evaluating the risk of in-hospital mortality in this patient cohort.

Objective To explore the effectiveness of the peripheral arterial calcification scoring system(PACSS)based on computed tomography angiography(CTA)in assessing renal function in patients with peripheral arterial disease(PAD).Methods The clinical data,CTA imaging data,and laboratory results from PAD patients who underwent lower limb artery CTA examination were retrospectively collected.The PACSS was utilized to score the calcification in both lower limb arteries.Participants were categorized into three groups based on their estimated glomerular filtration rate(eGFR)(normal group:eGFR≥90 mL/min;mild renal dysfunction group:eGFR 60-89 mL/min,and moderate to severe renal dysfunction group:eGFR＜60 mL/min).The demographic data,clinical symptoms,and comorbidities among the three groups were compared by analysis of variance(ANOVA).The Spearman correlation coefficient was employed to evaluate the relationship between eGFR,cystatin C,and PACSS score.Results The age(P＜0.001)and PACSS score(P＜0.05)of patients with renal dysfunction were significantly higher than those of patients with normal renal function.However,there were no significant differences in gender,prevalence of diabetes,hypertension,or severe limb ischemia.Spearman correlation analysis showed that eGFR was negatively correlated with PACSS score(r=-0.18 in the right lower limb,P=0.037,r=-0.24 in the left lower limb,P=0.006).In contrast,cystatin C was positively correlated with PACSS score(r=0.26 in the right lower limb,P＜0.001,r=0.22 in the left lower limb,P=0.002).Conclusion The PACSS score of lower limb artery in PAD patients is corre-lated with the severity of renal dysfunction.This finding may facilitate early warning and clinical intervention for PAD patients with renal dysfunction.

The biliary microbiota is an important component of the biliary system, the structure changes and dysbiosis of the biliary microbiota are closely related to the occurrence and development of biliary diseases. Recent studies have found that the dysbiosis of the biliary microbiota can lead to the occurrence of various biliary diseases such as cholelithiasis, cholangitis, and biliary tract cancer. However, the specific mechanisms of some of these diseases remain unclear. In addition, the alternation of biliary microbiota may also lead to the occurrence of postoperative complications of biliary diseases, such as the risk of infection increased after laparoscopic cholecystectomy (LC) and endoscopic retrograde cholangiopancreatography (ERCP). Although some studies have begun to explore the connection between biliary microbiota and biliary diseases, most research have mainly focused on a single disease type or specific microorganisms. There has been no comprehensive and systematic review of the overall changes in biliary microbiota across different diseases and their association with post biliary surgery infection.Therefore, this article presents a systematic review of current advances linking the alternations of biliary microbiota to the development of biliary diseases and their postoperative infections, as well as the changes in the biliary microbiota before and after various biliary diseases and their surgeries, aiming to provide insightful methods for the early diagnosis, prevention and treatment of biliary diseases and management of postoperative infections.

Non-invasive body fluids contain a wealth of health-related biomarkers.Monitoring these biomarkers can provide valuable information for disease diagnosis,health management,drug abuse screening,and sports performance optimization.In this work,a carbon nanotube-polysiloxane(CNT-Putty)-based wearable electrochemical sensor was constructed on glove by screen-printing method.This electrode material had not only a simple composition,but also a relatively simple synthesis process.In addition,the electrode exhibited superior electrochemical performance compared to commercial screen-printed electrodes.When applied to uric acid(UA)detection in three different body fluids,the CNT-Putty working electrode demonstrated excellent linearity,selectivity,and a low detection limit.The wearable glove sensor could successfully monitor UA levels in body fluids under varying dietary conditions,indicating its potential for personalized UA monitoring and management.

Objective To explore a deep learning-based automatic bone age estimation model for elbow joint X-ray images of Chinese Han adolescents and children and evaluate its performance.Methods A total of 943(517 males and 426 females)elbow joint frontal view X-ray images of Chinese Han ado-lescents and children aged 6.00 to<16.00 years were collected from East,South,Central and North-west China.Three experimental schemes were adopted for bone age estimation.Scheme 1:Directly in-put preprocessed images into the regression model;Scheme 2:Train a segmentation network using"key elbow joint bone annotations"as labels,then input segmented images into the regression model;Scheme 3:Train a segmentation network using"full elbow joint bone annotations"as labels,then in-put segmented images into the regression model.For segmentation,the optimal model was selected from U-Net,UNet++and TransUNet.For regression,VGG16,VGG19,InceptionV2,InceptionV3,ResNet34,ResNet50,ResNet101 and DenseNet121 models were selected for bone age estimation.The dataset was randomly split into 80%(754 samples)for training and validation for model fitting and hyperparameter tuning,and 20%(189 samples)as an internal test set to test the performance of the trained model.An additional 104 elbow joint X-ray images from the same demographic and age group were col-lected and used as an external test set.Model performance was evaluated by comparing the mean ab-solute error(MAE),root mean square error(RMSE),accuracies within±0.7 years(P±0.7 years)and±1.0 years(P±1.0 years)between the estimated age and the actual age,and by drawing radar charts,scat-ter plots,and heatmaps.Results When segmented with Scheme 3,the UNet++model achieved good segmentation performance with a segmentation loss of 0.000 4 and an accuracy of 93.8%at a learning rate of 0.000 1.In the internal test set,the DenseNet121 model with Scheme 3 yielded the best results with MAE,P±0.7 years and P±1.0 years being 0.83 years,70.03%,and 84.30%,respectively.In the external test set,the DenseNet121 model with Scheme 3 also performed best,with an average MAE of 0.89 years and an average RMSE of 1.00 years.Conclusion When performing automatic bone age estima-tion using elbow joint X-ray images in Chinese Han adolescents and children,it is recommended to use the UNet++model for segmentation.The DenseNet121 model with Scheme 3 achieves optimal per-formance.Using segmentation networks,especially that trained with annotation areas encompassing the full elbow joint including the distal humerus,proximal radius,and proximal ulna,can improve the ac-curacy of bone age estimation based on elbow joint X-ray images.

Objective To explore a deep learning network model suitable for bone age estimation using shoulder joint X-ray images in Chinese Han adolescents.Methods A retrospective collection of 1 286 shoulder joint X-ray images of Chinese Han adolescents aged 12.0 to<18.0 years(708 males and 578 females)was conducted.Using random sampling,approximately 80%of the samples(1 032 cases)were selected as the training and validation sets for model learning,selection and optimization,and the other 20%samples(254 cases)were used as the test set to evaluate the model's generalization ability.The original single-channel shoulder joint X-ray images and dual-channel inputs combining original images with segmentation labels(manually annotated shoulder joint regions multiplied pixel-by-pixel with original images,followed by segmentation via the U-Net++network to retain only key shoulder joint region information)were respectively input into four network models,namely VGG16,ResNet18,ResNet50 and DenseNet121 for bone age estimation.Additionally,manual bone age estimation was con-ducted on the test set data,and the results were compared with the four network models.The mean absolute error(MAE),root mean square error(RMSE),coefficient of determination(R2),and Pear-son correlation coefficient(PCC)were used as main evaluation indicators.Results In the test set,the bone age estimation results of the four models with dual-channel input of shoulder joint X-ray images outperformed those with single-channel input in all four evaluation indicators.Among them,DenseNet121 with dual-channel input achieved best results with MAE of 0.54 years,RMSE of 0.82 years,R2 of 0.76,and PCC(r)of 0.88.Manual estimation yielded an MAE of 0.82 years,ranking second only to dual-channel DenseNet121.Conclusion The DenseNet121 model with dual-channel input combined with original images and segmentation labels is superior to manual evaluation results,and can effectively estimate the bone age of Chinese Han adolescents.