Objective To investigate the association of vascular calcification,fetuin A and Creaction protein (CRP),and explore the influence on cardiovascular events.Methods Sixty peritoneal dialysis (PD) patients were enrolled in this study.Carotid intima-media thickness (cIMT),fetuin A and CRP,along with the other serum related parameters were detected to find out their influence on vascular calcification in PD patients.The relationship between cIMT,fetuin A,CPR and cardiovascular events was analyzed in PD patients with 18 months followed-up.Results Of the 60 PD patients,carotid intima-media thickness (cIMT) was increased in 38 patients(63.3％).Compared with the non-increased cIMT patients,serum fetuin A concentration was significantly decreased(P ＜ 0.05),CRP(P＜0.01) and calcium × phosphate products(P＜0.05) were significantly increased in the highincreased cIMT group.Compared with the low-increased cIMT patients,fetuin A concentration was obviously lower(P ＜ 0.05) and calcium×phosphate products were obviously higher(P ＜ 0.05) in the highincreased cIMT group.Linear regression analysis discovered an obvious negative correlation between CRP and fetuin A(R2 =0.629,F=47.522,P ＜ 0.01),as well as fetuin A and calcium×phosphate products (R2=0.299,F=11.948,P=0.002).Multiple regression analysis indicated that fetuin A was independently negatively correlated with cIMT(B=-0.019,t =-6.042,P ＜ 0.01).At 18 months,there were 36 newly-happened cardiovascular events and among which 6 cases died.Logistic regression analysis found that increased cIMT was risk factor to cardiovascular events in PD patients(OR=3.691,95％CI 1.467-9.258,P=0.006).Conclusion Decreased fetuin A and increased calcium×phosphate products deteriorate carotid calcification in PD patients.Micro-inflammation of PD patients represented by high CRP levels may increase calcium×phosphate products by depressing the fetuin A level,and in the end will stimulate carotid calcification.Increased cIMT is a risk factor for cardiovascular events.

Objective To investigate the relationship between fetuin A and left ventricular function and their influences on residual renal function(RRF) in peritoneal dialysis patients.Method Eighty patients recently initiating peritoneal dialysis were enrolled into this study and were divided into high fetuin A group and low fetuin A group accordin to the value of serum fetuin A concentration.Hemoglobin,high sensitive C reactive protein(hsCRP),calcium,phosphorus,albumin,lipoproteins and left ventricular myocardial performance index(LV-MPI) were examined.All these patients were followed up for 12 months,to discover the parameters' differences between two groups and to investigate the association between fetuin A and left ventricular function and RRF.Results At the beginning of the study,there was no difference of hsCRP,calcium,phosphorus,albumin,lipoproteins and LV-MPI,estimated glomerular filtration rate (eGFR) between two groups;After 12 months follow-up,MPI was obviously shorter (P ＜ 0.05) and RRF was obviously higher (P ＜ 0.05) in high fetuin A group than thosein low fetuin A group.Compared with the beginning of the study,LV-MPI was significantly increased and eGFR was significantly decreased after 12 months follow-up (both P ＜ 0.05) in low fetuin A group,but no obviously change of LV-MPI or eGFR was found in high fetuin A group after followup.Pearson correlation analysis discovered an obvious negative correlation between fetuin A and MPI (r=-0.680,P ＜ 0.01).Multiple regression analysis indicated that eGFR had positive correlation with fetuin A (B=0.058,t=3.679,P＜ 0.01) and negative correlations with MPI (B=-0.511,t=-2.903,P=0.007),age(B=-0.144,t=-4.013,P＜0.01).Diabetes was risk factor to loss of RRF (B=-2.031,t=-2.759,P ＜ 0.05).Conclusion Fetuin A has very close relationship with left ventricular function.Decreased serum fetuin A level and decreased left ventricular function are risk factors to the loss of the RRF in ERSD patients.

BACKGROUND: In recent years, the progression of transplantation of allografts has put forward to a new way to repair massive bone and joint defect caused by various reasons, which was a difficult subject in the past.OBJECTIVE: To probe into the effect of massive allograft and interlocking intramedullary nail on rebuilding bone and joint after bone tumor resection.DESIGN: Self-control observation SETTING: Department of Orthopaedics, Yunnan Provincial Tumor Hospital PARTICIPANTS: From April 1998 to January 2003, totally 18 patients with 15 cases of malignant bone tumor and 3 of osteoma-like disease, accepted bone tumor focus removal followed by intrmedullary nailing and allogenic bone transplantation, consented to join the study, were recruited.INTERVENTIONS: Allografts were taken from fresh cadaveric bone (Prepared and stored in Yunnan Provincial Tumor). The bone segment of osteoma was cut completely and the allografts were transplanted at the bone defects. The proximal and distal intrmedullary nailing were inserted in order. Auto cancellous bone particles were transplanted at the bone joint to promote the healing at bone end. The upper part of shoulder bone was transplanted to perform reconstruct of retotar and triangular muscle; half knee joint was transplanted to attach important muscle and ligament. After external fixation of 4 to 6 weeks following operation, the functional exercise was conducted in order sequence. Evaluating the curative effect of functional recovery of the limbs at postoperative 3,6 and 12 months as well as follow-up was carried out according to the criteria of Mankin(excellent ,good , moderate , unsatisfied).MAIN OUTCOME MEASURES: ①Functional recovery of limb of the patients. ② Adverse and side effectRESULTS: Date of totally 18 patients was entered result analysis. ①Functional recovery result of the limbs: According to evaluated criteria put forward by Mankin. In this group, 7 cases of excellent, 6 of good, 4 of moderate and 1 of unsatisfied. Bony callus and the concentration of nuclide were increased gradually in the examination at month 6 and 12. About 10-14 months after operation, the osteotylus would cover the end of allograft, substituted the allograft gradually. ② Adverse events and side effect:In this group, no tumor was survived in 16 cases, two cases died of primary lesion and pulmonary metastasis at postoperative 12 months and 18 months respectively. No infection, bone nonunion, flexible internal fixation or ruptures were found in the limbs of other patients. No one was found with shortened limbs. The patient with part joint transplantation has limitation in joint move, but the joint was stable.CONCLUSION: This operation has the highest stabilization .The patients can do exercise earlier to recover function, and injury arthritis could be prevented. It is suitable to rebuild the bone after bone tumor resection.

A method of ultra performance liquid chromatography-quadrupole-time of flight-mass spectrometry ( UPLC-Q-TOF MS) was developed to determine 35 kinds of illegally added chemical fungicides in pesticide formulations. The samples were pretreated based on the ultrasonic extraction by the solvent of methanol, and then separated on a Zorbax C18(100 mm×1. 8 mm, 2. 1 μm) column by a gradient elution with 0. 1% formic acid aqueous solution and acetonitrile as the mobile phase. The mass spectrometer was operated under positive mode. Under the optimal conditions, the recoveries at three spiked levels (0. 2, 0. 4, and 2. 0 mg/kg) were in the range of 81. 0%-101. 3% and the RSDs were 1. 0%-4. 4%. Based on the developed method, 100 samples were analyzed, and among which 6 samples were screened out chemical fungicides. The proposed method was high-efficient, accurate and reliable for the qualitatively screening of illegaly added chemical fungicides.

ObjectiveTo analyze the clinicopathological features and prognosis of gastric cancer patients with metastatic nodules of perigastric soft tissue. MethodsIn this study,1025 cases of gastric cancer received radical resection.According to the metastasis of perigastric soft tissue,patients were divided into metastatic group ( group MP,n =334 ),non-metastatic group ( group NMP,n =691 ).The clinicopathological features and prognosis were compared between the two groups. ResultsIn group MP,the ratio of upper,middle,lower,total gastric cancer was 25.8％,22.0％,51.4％,0.9％ and the ratio in group NMP was 33.2％,21.3％,41.3％,4.2％ respectively,showing significant higher ratio of upper and total gastric cancer in MP group(P =0.000). In group MP 47.3％ cases with tumor size ≥5 cm,significantly higher than that in NMP group(27％ ) (P =0.000).Lymph node metastatic ratio between 21％ -40％ and 41％ -100％ was found in 24.4％ and 37.3％ in MP group respectively,significantly higher than that of 12.9％,10.8％ in NMP group(P =0.000).20.1％ cases had distal metastasis in group MP,significantly higher than that of 4.1％ in group NMP(P=0.000).In group MP and NMP group,the ratio of Borrmann infiltration typing was 82.1％ vs.64.6％,the ratio of positive CEA was 21.2％ vs.11.4％,the ratio of lower or undifferentiation typing was 78.7％ vs.64.2％,all with significant difference (P =0.000 ). COX regression analysis showed the infiltration depth,organic invasion,lymph node metastatic ratio,M staging,Borrmann typing,metastatic nodules was the independent prognostic factors.Prognosis was significantly poorer in the cases with perigastric soft tissues than without ( P =0.000 ).Stratified analysis showed that irrespective of tumor size,infiltration depth,lymph node metastatic ratio,CEA value,Borrmann typing,differentiation degree,the mean survival time was significantly shorter in MP group than that in group NMP(P ＜ 0.005).In cases without distal metastasis,the prognosis was significant poorer in group MP than that in group NMP ( P =0.000 ),however,there was no significant difference between two groups in cases without distal metastasis ( P =0.076).ConclusionsPerigastric soft tissue metastasis was common in gastric cancer,more frequently seen in tumor ≥5 cm,or with organic invasion,lymph nodemetastaticration ≥ 21％, distalmetastasis, Borrmanninfiltrationtyping, loweror undifferentiation typing,positive CEA. Perigastric soft tissues metastasis was the independent prognotic factor for gastric cancer.

Objective To investigate the association of fetuin-A with residual renal function and carotid artery calcification in patients with chronic kidney disease (CKD). Methods Blood examples were collected form 60 CKD patients in stages CKD3 to CKD5 (20 patients per stage) for measurement of serum fetuin-A, albumin, calcium, phosphorus and parathyroid hormone, cholesterol, triglycercide, low-density lipoprotein, and high-density lipoprotein. MDRD equation was used to calculate the estimated glomerular filtration rate (eGFR), and ELISA was used to detect serum fetuin-A. Color Doppler ultrasound was performed to measure carotid intima-media thickness (CIMT). Results As the eGFR decreased, serum fetuin-A significantly decreased in CKD5 stage compared with that in CKD4 stage (P<0.05);compared with that in CKD3 stage, serum fetuin-A level was significantly lowered in CKD4 stage (P<0.05). Linear regression analysis suggested a significant positive correlation between fetuin-A and eGFR. The rate of carotid artery calcification was the highest in CKD5 stage. Rank correlation analysis showed a negative correlation between fetuin-A and cIMT, and logistic regression analysis identified decreased serum Fetuin-A as a risk factor of carotid artery calcification. Conclusion Serum fetuin-A decreases following the decrease in eGFR, and decreased serum Fetuin-A level is a risk factor of carotid artery calcification in CKD patients.

Objective To investigate the association of fetuin-A with residual renal function and carotid artery calcification in patients with chronic kidney disease (CKD). Methods Blood examples were collected form 60 CKD patients in stages CKD3 to CKD5 (20 patients per stage) for measurement of serum fetuin-A, albumin, calcium, phosphorus and parathyroid hormone, cholesterol, triglycercide, low-density lipoprotein, and high-density lipoprotein. MDRD equation was used to calculate the estimated glomerular filtration rate (eGFR), and ELISA was used to detect serum fetuin-A. Color Doppler ultrasound was performed to measure carotid intima-media thickness (CIMT). Results As the eGFR decreased, serum fetuin-A significantly decreased in CKD5 stage compared with that in CKD4 stage (P<0.05);compared with that in CKD3 stage, serum fetuin-A level was significantly lowered in CKD4 stage (P<0.05). Linear regression analysis suggested a significant positive correlation between fetuin-A and eGFR. The rate of carotid artery calcification was the highest in CKD5 stage. Rank correlation analysis showed a negative correlation between fetuin-A and cIMT, and logistic regression analysis identified decreased serum Fetuin-A as a risk factor of carotid artery calcification. Conclusion Serum fetuin-A decreases following the decrease in eGFR, and decreased serum Fetuin-A level is a risk factor of carotid artery calcification in CKD patients.

OBJECTIVETo investigate the association of fetuin-A with residual renal function and carotid artery calcification in patients with chronic kidney disease (CKD).

METHODSBlood examples were collected form 60 CKD patients in stages CKD3 to CKD5 (20 patients per stage) for measurement of serum fetuin-A, albumin, calcium, phosphorus and parathyroid hormone, cholesterol, triglycercide, low-density lipoprotein, and high-density lipoprotein. MDRD equation was used to calculate the estimated glomerular filtration rate (eGFR), and ELISA was used to detect serum fetuin-A. Color Doppler ultrasound was performed to measure carotid intima-media thickness (CIMT).

RESULTSAs the eGFR decreased, serum fetuin-A significantly decreased in CKD5 stage compared with that in CKD4 stage (P<0.05); compared with that in CKD3 stage, serum fetuin-A level was significantly lowered in CKD4 stage (P<0.05). Linear regression analysis suggested a significant positive correlation between fetuin-A and eGFR. The rate of carotid artery calcification was the highest in CKD5 stage. Rank correlation analysis showed a negative correlation between fetuin-A and cIMT, and logistic regression analysis identified decreased serum Fetuin-A as a risk factor of carotid artery calcification.

CONCLUSIONSerum fetuin-A decreases following the decrease in eGFR, and decreased serum Fetuin-A level is a risk factor of carotid artery calcification in CKD patients.

Adult ; Calcinosis ; etiology ; Carotid Artery Diseases ; etiology ; Carotid Intima-Media Thickness ; Female ; Glomerular Filtration Rate ; Humans ; Male ; Middle Aged ; Renal Insufficiency, Chronic ; blood ; complications ; physiopathology ; Risk Factors ; alpha-2-HS-Glycoprotein ; metabolism

Objective:To establish and validate a clinical and CT radiomics combined model for predicting lymph node metastasis (LNM) risk in patients with hilar cholangiocarcinoma (HCCA).Methods:This was a case-control study. Data from 158 pathologically confirmed HCCA patients between January 2016 and January 2022 at the First Affiliated Hospital of Zhengzhou University were retrospectively analyzed. Using stratified random sampling, the patients were randomly divided into a training set ( n=95) and an internal validation set ( n=63) at a 6∶4 ratio. According to postoperative pathology, 31 LNM-positive cases and 64 LNM-negative cases were in the training set, and 22 LNM-positive cases and 41 LNM-negative cases were in the internal validation set. A cohort of 50 HCCA patients was retrospectively collected from West China Hospital of Sichuan University between October 2018 and June 2021 as an external validation set, including 21 LNM-positive and 29 LNM-negative cases. Clinical features were selected by multivariate logistic regression analysis to establish a clinical model. Radiomics features were extracted from portal venous phase CT images using 3D Slicer software. A radiomics model was developed using the least absolute shrinkage and selection operator regression algorithm. A clinical-radiomics model was constructed by integrating clinical features and Radscore, and a nomogram was developed. The prediction performance of models was evaluated by the area under the receiver operating characteristic curve (AUC). The AUC values were compared using the DeLong test. Calibration curves and decision curves were plotted to assess calibration and clinical net benefit. Results:Clinical N (cN) staging was an independent risk factor for LNM ( OR=6.86, 95% CI 2.70-18.49, P<0.001). Totally 12 optimal features were selected to construct the radiomics model, and the clinical-radiomics nomogram model was constructed by combining cN staging and Radscore. In the external validation set, the AUC (95% CI) of the clinical model, radiomics model, and clinical-radiomics nomogram were 0.706 (0.576-0.836), 0.768 (0.637-0.899), and 0.803 (0.680-0.926), respectively. The nomogram achieved higher AUC than clinical and radiomics models with statistical significance ( Z=2.01, 2.21; P=0.044, 0.027). The calibration and decision curves demonstrated good model fit, providing clinical net benefits for patients. Conclusion:The clinical-radiomics nomogram model combining cN staging and CT radiomics features can effectively predict LNM risk in HCCA patients.

Objective:To investigate the predictive model construction of anastomotic thickening character after radical surgery of esophageal cancer based on computed tomogralphy(CT) radiomics and its application value.Methods:The retrospective cohort study was conducted. The clinicopathological data of 202 patients with esophageal squamous cell carcinoma (ESCC) who were admitted to The First Affiliated Hospital of Zhengzhou University from January 2013 to June 2021 were collected. There were 147 males and 55 females, aged (63±8) years. Based on random number table, 202 patients were assigned into training dataset and validation dataset at a ratio of 7:3, including 141 cases and 61 cases respectively. Patients underwent radical resection of ESCC and enhanced CT examination. Observation indicators: (1) influencing factor analysis of malignant anas-tomotic thickening; (2) construction and evaluation of predictive model; (3) performance comparison of 3 predictive models. The normality of continuous variables was tested by Kolmogorov-Smirnov method. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was analyzed using the t test. Measurement data with skewed distribution were represented as M( Q1, Q3), and comparison between groups was analyzed using the Mann-Whintney U test. Count data were represented as absolute numbers, and comparison between groups was analyzed using the chi-square test or Fisher's exact probability. The consistency between subjective CT features by two doctors and measured CT numeric variables was analyzed by Kappa test and intraclass correlation coefficient (ICC), with Kappa >0.6 and ICC >0.6 as good consistency. Univariate analysis was conducted by corresponding statistic methods. Multivariate analysis was conducted by Logistics stepwise regression model. The receiver operating characteristic (ROC) curve was drawn, and area under curve (AUC), Delong test, decision curve were used to evaluate the diagnostic efficiency and clinical applicability of model. Results:(1) Influencing factor analysis of malignant anastomotic thickening. Of the 202 ESCC patients, 97 cases had malignant anastomotic thickening and 105 cases had inflammatory anastomotic thickening. The consistency between subjective CT features by two doctors and measured CT numeric variables showed Kappa and ICC values >0.6. Results of multivariate analysis showed that the maximum thickness of anastomosis and CT enhancement pattern were independent influencing factors for malignant anastomotic thickening[ hazard ratio=1.46, 3.09, 95% confidence interval ( CI) as 1.26-1.71,1.18-8.12, P<0.05]. (2) Construction and evaluation of predictive model. ① Clinical predictive model. The maximum thickness of anasto-mosis and CT enhancement pattern were used to construct a clinical predictive model. ROC curve of the clinical predictive model showed an AUC, accuracy, sensitivity, specificity as 0.86 (95% CI as 0.80-0.92),0.77, 0.77, 0.80 for the training dataset, and 0.78 (95% CI as 0.65-0.89), 0.77, 0.77, 0.80 for the validation dataset, respectively. Results of Delong test showed no significant difference in AUC between the training dataset and validation dataset ( Z=1.22, P>0.05). ② Radiomics predictive model. A total of 854 radiomics features were extracted and 2 radiomics features (wavelet-LL_first order_ Maximum and original_shape_VoxelVolume) were finally screened out to construct a radiomics predictive model. ROC curve of the radiomics predictive model showed an AUC, accuracy, sensitivity, specificity as 0.87 (95% CI as 0.81-0.93), 0.80, 0.75, 0.86 for the training dataset, and 0.73 (95% CI as 0.63-0.83), 0.80, 0.76, 0.94 for the validation dataset, respectively. Results of Delong test showed no significant difference in AUC between the training dataset and validation dataset ( Z=-0.25, P>0.05). ③ Combined predictive model. Results of multivariate analysis and radiomics features were used to construct a combined predictive model. ROC curve of the combined predictive model showed an AUC, accuracy, sensitivity, specificity as 0.93 (95% CI as 0.89-0.97),0.84, 0.90, 0.84 for the training dataset, and 0.79 (95% CI as 0.70-0.88), 0.89, 0.86, 0.91 for the validation dataset, respectively. Results of Delong test showed no significant difference in AUC between the training dataset and validation dataset ( Z=0.22, P>0.05). (3) Performance comparison of 3 predictive models. Results of Hosmer-Lemeshow goodness-of-fit test showed that the clinical predictive model, radiomics predictive model and combined predictive model had a good fitting degree ( χ2=4.88, 7.95, 4.85, P>0.05). Delong test showed a significant difference in AUC between the combined predictive model and clinical predictive model, also between the combined predictive model and radiomics predictive model ( Z=2.88, 2.51, P<0.05 ). There was no significant difference in AUC between the clinical predictive model and radiomics predictive model ( Z=-0.32, P>0.05). The calibration curve showed a good predictive performance in the combined predictive model. The decision curve showed a higher distinguishing performance for anastomotic thickening character in the combined predictive model than in the clinical predictive model or radiomics predictive model. Conclusions:The maximum thickness of anastomosis and CT enhancement pattern are independent influencing factors for malignant anastomotic thickening. Radiomics predictive model can distinguish the benign from malignant thickening of anastomosis. Combined predictive model has the best diagnostic efficacy.