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1.
Chinese Critical Care Medicine ; (12): 1264-1268, 2019.
Article in Chinese | WPRIM | ID: wpr-796511

ABSTRACT

Objective@#To investigate the factors related to severe acute pancreatitis (SAP) with intestine functional disturbance (IFD) and to establish the multiple predictor models of SAP with IFD.@*Methods@#Clinical data of consecutive SAP patients admitted to department of gastroenterology of Beijing Shijitan Hospital, Capital Medical University from January 2015 to March 2019 were retrospectively collected and analyzed. According to the occurrence of IFD at 48 hours after onset, the patients were divided into IFD group and control group. The clinical indicators within 4 hours after admission were compared between the two groups, and the independent predictive factors for SAP with IFD were screened by single factor analysis and multiple classified Logistic regression analysis. The unweighted predictive score (unwScore) and weighted predictive score (wScore) models were constructed by combining the independent predictors. The receiver operating characteristic (ROC) curves of SAP patients with IFD were plotted by independent predictive factors and predictive models, and the clinical predictive effect of each independent predictive index and predictive models were analyzed.@*Results@#A total of 149 patients with SAP were enrolled, including 87 males and 62 females, with age of (52.8±18.1) years old. There were 45 patients in IFD group and 104 patients in control group.Univariate analysis and multiple classified Logistic regression analysis showed that high sensitive C-reactive protein (hs-CRP), blood urea nitrogen (BUN), serum creatinine (SCr), serum calcium (Ca), procalcitonin (PCT) and neutrophil-lymphocyte ratio (NLR) were independent predictive factors of SAP with IFD. The ROC curve was used to calculate the cut-off value of the above indexes to predict IFD, and unwScore model was established. The cut-off score of IFD prediction by the unwScore model was 3 points, and the probability of IFD increased with the increase of the score. The area under ROC curve (AUC) of unwScore was 0.944, the sensitivity was 95.6%, the specificity was 94.2%, the positive predictive value (PPV) was 87.8%, and the negative predictive value (NPV) was 98.0%. The binary Logistic regression analysis of hs-CRP, BUN, Ca, SCr, PCT and NLR were carried out, and wScore model was established. The AUC of wScore was 0.959, the sensitivity was 95.9%, the specificity was 96.2%, the PPV was 91.5%, and the NPV was 98.1%; predictive value was superior to each independent index and unwScore model.@*Conclusions@#hs-CRP, BUN, SCr, Ca, PCT and NLR were independent predictive factors of SAP with IFD. The multiple predictor models of SAP with IFD have a good predictive efficiency which may provide valuable clinical reference for prediction and treatment.

2.
Chinese Critical Care Medicine ; (12): 1392-1396, 2019.
Article in Chinese | WPRIM | ID: wpr-791087

ABSTRACT

Objective To investigate the factors related to severe acute pancreatitis (SAP) with intestine functional disturbance (IFD) and to establish the multiple predictor models of SAP with IFD. Methods Clinical data of consecutive SAP patients admitted to department of gastroenterology of Beijing Shijitan Hospital, Capital Medical University from January 2015 to March 2019 were retrospectively collected and analyzed. According to the occurrence of IFD at 48 hours after onset, the patients were divided into IFD group and control group. The clinical indicators within 4 hours after admission were compared between the two groups, and the independent predictive factors for SAP with IFD were screened by single factor analysis and multiple classified Logistic regression analysis. The unweighted predictive score (unwScore) and weighted predictive score (wScore) models were constructed by combining the independent predictors. The receiver operating characteristic (ROC) curves of SAP patients with IFD were plotted by independent predictive factors and predictive models, and the clinical predictive effect of each independent predictive index and predictive models were analyzed. Results A total of 149 patients with SAP were enrolled, including 87 males and 62 females, with age of (52.8±18.1) years old. There were 45 patients in IFD group and 104 patients in control group. Univariate analysis and multiple classified Logistic regression analysis showed that high sensitive C-reactive protein (hs-CRP), blood urea nitrogen (BUN), serum creatinine (SCr), serum calcium (Ca), procalcitonin (PCT) and neutrophil-lymphocyte ratio (NLR) were independent predictive factors of SAP with IFD. The ROC curve was used to calculate the cut-off value of the above indexes to predict IFD, and unwScore model was established. The cut-off score of IFD prediction by the unwScore model was 3 points, and the probability of IFD increased with the increase of the score. The area under ROC curve (AUC) of unwScore was 0.944, the sensitivity was 95.6%, the specificity was 94.2%, the positive predictive value (PPV) was 87.8%, and the negative predictive value (NPV) was 98.0%. The binary Logistic regression analysis of hs-CRP, BUN, Ca, SCr, PCT and NLR were carried out, and wScore model was established. The AUC of wScore was 0.959, the sensitivity was 95.9%, the specificity was 96.2%, the PPV was 91.5%, and the NPV was 98.1%;predictive value was superior to each independent index and unwScore model. Conclusions hs-CRP, BUN, SCr, Ca, PCT and NLR were independent predictive factors of SAP with IFD. The multiple predictor models of SAP with IFD have a good predictive efficiency which may provide valuable clinical reference for prediction and treatment.

3.
Chinese Critical Care Medicine ; (12): 1264-1268, 2019.
Article in Chinese | WPRIM | ID: wpr-791063

ABSTRACT

Objective To investigate the factors related to severe acute pancreatitis (SAP) with intestine functional disturbance (IFD) and to establish the multiple predictor models of SAP with IFD. Methods Clinical data of consecutive SAP patients admitted to department of gastroenterology of Beijing Shijitan Hospital, Capital Medical University from January 2015 to March 2019 were retrospectively collected and analyzed. According to the occurrence of IFD at 48 hours after onset, the patients were divided into IFD group and control group. The clinical indicators within 4 hours after admission were compared between the two groups, and the independent predictive factors for SAP with IFD were screened by single factor analysis and multiple classified Logistic regression analysis. The unweighted predictive score (unwScore) and weighted predictive score (wScore) models were constructed by combining the independent predictors. The receiver operating characteristic (ROC) curves of SAP patients with IFD were plotted by independent predictive factors and predictive models, and the clinical predictive effect of each independent predictive index and predictive models were analyzed. Results A total of 149 patients with SAP were enrolled, including 87 males and 62 females, with age of (52.8±18.1) years old. There were 45 patients in IFD group and 104 patients in control group. Univariate analysis and multiple classified Logistic regression analysis showed that high sensitive C-reactive protein (hs-CRP), blood urea nitrogen (BUN), serum creatinine (SCr), serum calcium (Ca), procalcitonin (PCT) and neutrophil-lymphocyte ratio (NLR) were independent predictive factors of SAP with IFD. The ROC curve was used to calculate the cut-off value of the above indexes to predict IFD, and unwScore model was established. The cut-off score of IFD prediction by the unwScore model was 3 points, and the probability of IFD increased with the increase of the score. The area under ROC curve (AUC) of unwScore was 0.944, the sensitivity was 95.6%, the specificity was 94.2%, the positive predictive value (PPV) was 87.8%, and the negative predictive value (NPV) was 98.0%. The binary Logistic regression analysis of hs-CRP, BUN, Ca, SCr, PCT and NLR were carried out, and wScore model was established. The AUC of wScore was 0.959, the sensitivity was 95.9%, the specificity was 96.2%, the PPV was 91.5%, and the NPV was 98.1%;predictive value was superior to each independent index and unwScore model. Conclusions hs-CRP, BUN, SCr, Ca, PCT and NLR were independent predictive factors of SAP with IFD. The multiple predictor models of SAP with IFD have a good predictive efficiency which may provide valuable clinical reference for prediction and treatment.

4.
Clinical Medicine of China ; (12): 146-148, 2018.
Article in Chinese | WPRIM | ID: wpr-706637

ABSTRACT

Objective To investigate the effect of comprehensive internal medical treatment including gastric endoscopy on patients with bezoar. Methods From 2010 to 2016,a retrospective study was conducted on fifty?two patients admitted to Beijing Shijitan Hospital, Capital Medical University. Results The main accompanying diseases were hypertension,coronary heart disease,diabetes mellitus and so on. Food that are easy to induce bezoar : banana, persimmon, hawthorn, chestnut, etc. The treatment included endoscopic treatment, intravenous proton pump suppression, and oral Coca?Cola and bicarbonate solution. The bezoar in two patients after 3 weeks of medical treatment were still not dissolved,finally surgery were performed. One patient's pathology showed early cardiac adenocarcinoma. Five patients had incomplete intestinal obstruction, after fasting and gastrointestinal decompression, and the bezoars were excreted through feces. All patients were cured without death. Conclusion Gastroscopy is a timely treatment that can help diagnose and treat gastric bezoar. The main predisposing factors include hypertension, coronary heart disease, diabetes mellitus and so on. Endoscopic treatment,intravenous proton pump inhibitor,sodium bicarbonate and Coca?Cola could dissolve most bezoar. We should be alert to the possibility of early cancer.

5.
Chinese Journal of Organ Transplantation ; (12): 694-698, 2012.
Article in Chinese | WPRIM | ID: wpr-430936

ABSTRACT

Objective To compare the biological characteristics of adipose-derived mesenchymal stem cells (ADAS) and bone marrow derived mesenchymal stem cells (BMSCs).Methods The adipose and bone marrow-derived sources of mesenchymal stem cells were separated,and their phenotype,cell doubling time and the secretion of factors were compared.They were also used to detect T-cell cycle,activation,and proliferation inhibition.Results BMSCs and ADAS were similar on the cell phenotype and the differences only existed in the expression of only CD106.For the proliferation rate,ADAS grew faster than BMSCs (doubling time 28 h vs.39 h,P<0.05); ADAS and BMSCs also had the same ability to inhibit T cell proliferation,and dose-dependent effects existed in mitogen-stimulated Tcell proliferation and MLR: there was a strong inhibitory effect in 1:2,but this effect disappeared at 1: 100.Both ADAS and BMSCs could arrest most T cells in the G0/G1 phase,but the role of ADAS was weaker than that of the BMSCs.ADAS could not inhibit apoptosis of T cells.ADAS and BMSCs played the same roles in inhibiting the differentiation of TH0 to TH1 or TH2: mainly inhibiting differentiation of TH 0 to TH1 cells (IL-2-and IFN-γ-producing cells),but having no significant effect on TH2 cells (IL-4-and IL 10-producing cells).Conclusion ADAS and BMSC have a similar role in immune regulation.In the same volume,fat tissue has the number of more than 10 times of stem cell precursor cells than that of bone marrow,so adipose tissue is a more promising stem cells transplant source.

6.
Journal of International Oncology ; (12): 447-449, 2008.
Article in Chinese | WPRIM | ID: wpr-400026

ABSTRACT

In many cancers the chronic inflammation caused by microorganisms can be observed, espe-cially in gastrointestinal system. Atrophic gastritis is thought to be a precancerous lesion. Studies have approved that Helicobacter pylori plays an important role in the genesis and development of gastric caner. It is now known to be responsible for inducing chronic gastric inflammation that progresses to atrophy, metaplasia, dysplasia and gastric cancer.

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