Objective To induce and analysis the death relative factors of peritoneal dialysis patients over the past five years in fourth ward of qiandongnan from guizhou province guiyang medical college affiliated people's hospital in endocrinology and to improve the effect of nursing intervention.Methods 492 peritoneal dialysis patients were retrospective analyzed from Mar 2009 to Mar 2014,in order to conclude the causes of the patients that ending with death (n =89) and to formulate targeted nursing measures.Results The primary disease for death of maintained peritoneal patients was cardiovascular events [41.6％(37/89)],and the second factor was infection [32.6％(29/89)].The risk factors for mortality were age (≥70 years old),diabetes,endogenous creinine clearance rate declined [＜50 L·week-1 ·m-2],change of hemodialysis to peritoneal dialysis and higher peritoneal transport status.Conclusions It's important to strengthen the nursing intervention for the peritoneal dialysis patients with coronary heart disease,and to formulate targeted nursing measures for risk factors,so as to avoid the death.

Objective To study predicting results of the back propagation (BP)neural network model for hematoma enlargement (HE)in patients with intracerebral hemorrhage. Methods The clinical data of 128 patients with cerebral hemorrhage admitted to the 309th hospital of People′s Liberation Army from January 2011 to December 2014 were analyzed retrospectively. The Matlab 7. 14 software was used to achieve BP neural network model for predicting hematoma enlargement within 24 hours in patients with intracerebral hemorrhage (HE ≥6. 0 ml and HE ≥12. 5 ml). The mean square error (MSE)of the model and the accuracy of the overall prediction were calculated. The receiver operation characteristic (ROC) curve was drawn for predicting HE. Results When the BP neural network predicted HE ≥6. 0 ml and HE ≥12. 5 ml,the mean square deviations of the training set,validation set,and test set were 0. 061, 0. 143,0. 052 and 0. 023,0. 057,and 0. 065,respectively. The best fitting performance verification of hematoma enlargement was as follows:≥ 6. 0 ml for network training 11 times and the error value 0. 224;≥12. 5 ml for network training 20 times,and the error value 0. 057. The overall accuracies of predicting HE ≥6. 0 ml and HE ≥12. 5 ml were 92. 2% (118/ 128)and 96. 9% (124/ 128)respectively. Conclusion The BP neural network model have no special limitation for data. It can accurately fit the hematoma expansion model of cerebral hemorrhage.

Objective To explore the expression of CD133 and CD44 in the primary gastric adenocarcinoma (GAC) and their relationship with the expression of E-cadherin. Methods The expressions of CD133, CD44, and E-cadherin was examined by immunohistochemistry in 145 specimens of GAC tissues and 30 specimens of normal gastric tissues. Results The positivity rates of CD133, CD44, and E-cadherin in normal gastric tissues were 10.0%, 0%, and 100%, respectively, showing significant differences from the rates in GAC tissues (46.9%, 47.6%, and 42.8%, respectively) (P<0.05). The expressions of CD133, CD44, and E-cadherin were significantly related with the tumor volume, differentiation, lymph node metastasis, invasive depth, pathologic-tumor-node-metastasis (pTNM) stages, and postoperative-survival time (all P<0.05); a positive correlation was found between the expression of CD133 and CD44, and they were both negatively correlated with E-cadherin expression (P<0.005). Kaplan-Meier analysis showed a significant difference in the survival rate between CD133-positive and CD133-negative patients (P<0.001) and between CD44-positive and CD44-negative patients;the patients with positive expression of E-cadherin had a significantly longer survival than those negative for E-cadherin. Cox regression analysis indicated that CD133, CD44, and E-cadherin expressions were all independent prognostic factors of GAC (all P<0.05). Conclusion The expressions of CD133, CD44, and E-cadherin are related to the tumor volume, differentiation, pTNM stages, invasive depth, lymph node metastasis, and prognosis of GAC, and their combined detection can be of important value in predicting the prognosis of GAC.

Objective To explore the expression of CD133 and CD44 in the primary gastric adenocarcinoma (GAC) and their relationship with the expression of E-cadherin. Methods The expressions of CD133, CD44, and E-cadherin was examined by immunohistochemistry in 145 specimens of GAC tissues and 30 specimens of normal gastric tissues. Results The positivity rates of CD133, CD44, and E-cadherin in normal gastric tissues were 10.0%, 0%, and 100%, respectively, showing significant differences from the rates in GAC tissues (46.9%, 47.6%, and 42.8%, respectively) (P<0.05). The expressions of CD133, CD44, and E-cadherin were significantly related with the tumor volume, differentiation, lymph node metastasis, invasive depth, pathologic-tumor-node-metastasis (pTNM) stages, and postoperative-survival time (all P<0.05); a positive correlation was found between the expression of CD133 and CD44, and they were both negatively correlated with E-cadherin expression (P<0.005). Kaplan-Meier analysis showed a significant difference in the survival rate between CD133-positive and CD133-negative patients (P<0.001) and between CD44-positive and CD44-negative patients;the patients with positive expression of E-cadherin had a significantly longer survival than those negative for E-cadherin. Cox regression analysis indicated that CD133, CD44, and E-cadherin expressions were all independent prognostic factors of GAC (all P<0.05). Conclusion The expressions of CD133, CD44, and E-cadherin are related to the tumor volume, differentiation, pTNM stages, invasive depth, lymph node metastasis, and prognosis of GAC, and their combined detection can be of important value in predicting the prognosis of GAC.

OBJECTIVETo study the pathological basis of radiological reaction types of radiation-induced liver disease on multiphasic CT scans.

METHODSThree pigs (tagged with A, B, and C) were subjected to single-dose radiation of 40, 40 and 30 Gy on the right or left lobe of the liver, respectively. At 42, 56, 133, and 168 days after irradiation, all pigs were examined with non-enhanced scan and contrast-enhanced scans at different time points after contrast injection. Hounsfield units (HU) were measured in each CT study to evaluate the density of irradiated and non-irradiated liver tissue to determine the reaction type. Liver tissues in the irradiation area obtained by needle biopsy with CT guidance were examined with electron microscopy, and specimens of the tissue corresponding to the region of interest on CT were obtained from necropsies for pathological examination.

RESULTSRadiologically, the 3 pig models presented with 3 reaction types on the multiphasic CT scans on days 133, 56, and 168 after radiation, respectively. Type 1 presented constant low-density change in all phases, the pathological basis of which was radiation hepatitis; type 2 showed pre-contrast phase isodense, arterial phase hyperdense, portal phase isodense and later phase hyperdense changes; type 3 was characterized by pre-contrast phase isodense, arterial phase hyperdense, portal phase hypodense and later phase hyperdense changes. The pathological basis of the last two radiological reaction types was radiation cirrhosis (postnecrotic cirrhosis).

CONCLUSIONSDifferent radiological reaction types of radiation liver injury on multiphase CT have different pathological basis, and multiphase contrast-enhanced CT may help distinguish the radiation reactions from tumor recurrence.

Animals ; Female ; Liver Diseases ; diagnostic imaging ; pathology ; Male ; Pilot Projects ; Radiation Injuries, Experimental ; diagnostic imaging ; pathology ; Staining and Labeling ; Swine ; Tomography, X-Ray Computed

Background: Peste des petits ruminants (PPR) is an infectious disease caused by the peste des petits ruminants virus (PPRV) that mainly produces respiratory symptoms in affected animals, resulting in great losses in the world's agriculture industry every year. Singledomain variable heavy chain (VHH) antibody fragments, also referred to as nanobodies, have high expression yields and other advantages including ease of purification and high solubility. Objectives: The purpose of this study is to obtain a single-domain antibody with good reactivity and high specificity against PPRV. Methods: A VHH cDNA library was established by immunizing camels with PPRV vaccine, and the capacity and diversity of the library were examined. Four PPRV VHHs were selected, and the biological activity and antigen-binding capacity of the four VHHs were identified by western blot, indirect immunofluorescence, and enzyme-linked immunosorbent assay (ELISA) analyses. ELISA was used to identify whether the four VHHs were specific for PPRV, and VHH neutralization tests were carried out. ELISA and western blot analyses were used to identify which PPRV protein was targeted by VHH2. Results: The PPRV cDNA library was constructed successfully. The library capacity was greater than 2.0 × 106 cfu/mL, and the inserted fragment size was approximately 400 bp to 2000 bp. The average length of the cDNA library fragment was about 1000 bp, and the recombination rate was approximately 100%. Four single-domain antibody sequences were selected, and proteins expressed in the supernatant were obtained. The four VHHs were shown to have biological activity, close affinity to PPRV, and no cross-reaction with common sheep diseases. All four VHHs had neutralization activity, and VHH2 was specific to the PPRV M protein. Conclusions The results of this preliminary research of PPRV VHHs showed that four screened VHH antibodies could be useful in future applications. This study provided new materials for inclusion in PPRV research.

Background: Peste des petits ruminants (PPR) is an infectious disease caused by the peste des petits ruminants virus (PPRV) that mainly produces respiratory symptoms in affected animals, resulting in great losses in the world's agriculture industry every year. Singledomain variable heavy chain (VHH) antibody fragments, also referred to as nanobodies, have high expression yields and other advantages including ease of purification and high solubility. Objectives: The purpose of this study is to obtain a single-domain antibody with good reactivity and high specificity against PPRV. Methods: A VHH cDNA library was established by immunizing camels with PPRV vaccine, and the capacity and diversity of the library were examined. Four PPRV VHHs were selected, and the biological activity and antigen-binding capacity of the four VHHs were identified by western blot, indirect immunofluorescence, and enzyme-linked immunosorbent assay (ELISA) analyses. ELISA was used to identify whether the four VHHs were specific for PPRV, and VHH neutralization tests were carried out. ELISA and western blot analyses were used to identify which PPRV protein was targeted by VHH2. Results: The PPRV cDNA library was constructed successfully. The library capacity was greater than 2.0 × 106 cfu/mL, and the inserted fragment size was approximately 400 bp to 2000 bp. The average length of the cDNA library fragment was about 1000 bp, and the recombination rate was approximately 100%. Four single-domain antibody sequences were selected, and proteins expressed in the supernatant were obtained. The four VHHs were shown to have biological activity, close affinity to PPRV, and no cross-reaction with common sheep diseases. All four VHHs had neutralization activity, and VHH2 was specific to the PPRV M protein. Conclusions The results of this preliminary research of PPRV VHHs showed that four screened VHH antibodies could be useful in future applications. This study provided new materials for inclusion in PPRV research.

Objective The method for the analysis of Methylenedioxypyrovalerone (MDPV) in urine by liquid-phase small-extraction- GC/MS have been developed and studied . Methods A 1-mL of urine sample was adjusted to pH9 with sodium bicarbonate, and was extracted with 50μL dichloromethane. The mixture centrifuged at 14000g for 2 min . A 1-μL organic phase was injected into the GC/MS system. Results The calibration curves showed good linearity in range of 0.05μg/mL~0.20μg/mL , and the limit of detection was 0.02μg/mL, and the RSD was 3.86~5.69%, and the recovery rate was 86.5~92.8 %. Conclusion The method is sensitive, accurate and was easy to operate for fast detection of MDPV in human urine.

Objective To study the expressions of snail mRNA and protein in human non-small cell lung cancer (NSCLC) and their correlations to patient clinical features.Methods Real-time fluores-cence quantitative PCR (qRT-PCR) and immunohistochemical were used to analyze the expressions of snail in a total of 41 pairs of NSCLC tissues,12 specimens of normal lung tissues.Results The expressions of snail mRNA in NSCLC tissues were significantly higher than the corresponding adjacent tissues (P ＜ 0.01).The expression rate of snail protein of NSCLC tissues (25/41) were significantly higher than that in adjacent tissues (2/41,P ＜ 0.01).There was no snail expression in non-cancerous lung tissues.The level of mRNA and protein in snail was associated with lymph node metastasis and clinical stage of non-small cell lung cancer (P ＜ 0.05).Conclusion The higher expression of snail may promote the metastasis of lung cancer.The expressions of snail are related to the development of human non-small cell lung cancer.

Objective To construct and validate a Nomogram prediction model for overall survival(OS)in middle-aged and elderly patients with stage Ⅱ to Ⅲ gastric cancer.Methods The clinical,pathological,and follow-up data of middle-aged and elderly patients with stage Ⅱ to Ⅲ gastric cancer in the Affiliated Hospital of Yangzhou University,Northern Jiangsu People's Hospital,and Yangzhou City Hospital of Traditional Chinese Medicine from March 1,2012 to December 1,2022 were retro-spectively analyzed.Based on univariate and multivariate Cox regression analyses,the independent risk factors for OS in middle-aged and elderly patients with stage Ⅱ to Ⅲ gastric cancer were identi-fied,and a Nomogram prediction model was further constructed and validated.The diagnostic perform-ance of the model was evaluated by the receiver operating characteristic(ROC)curve and calibration curve,and the clinical effect of the model was assessed by decision curve analysis(DC A).Results A total of 382 patients were included.A total of 282 cases were as training sets and 100 cases were as validation sets.Univariate and multivariate Cox regression analyses indicated that family history of gas-tric cancer,vascular invasion,nerve invasion,T stage,and N stage were independent risk factors for OS in middle-aged and elderly patients with stage Ⅱ to Ⅲ gastric cancer(P＜0.05).A prognostic Nomogram was constructed based on these variables,and the concordance index of the model in the training and validation sets was 0.667(95％CI,0.601 to 0.726)and 0.708(95％CI,0.622 to 0.766)respectively.The ROC curve indicated that the model had good predictive accuracy.The calibration curve showed that the predicted value of the model was in good agreement with the actual value.DC A demonstrated that the model had good clinical application and potential values.Con-clusion The Nomogram model for 1-,3-and 5-year OS in middle-aged and elderly patients with stage Ⅱ to Ⅲ gastric cancer constructed based on real-world big data in this study has an ideal pre-dictive effect,which can help clinicians effectively assess patients'prognosis.