Medical information exchange and integration is the effective method to solve the interoperability and medical information island, and is the basis of medical information sharing. In this paper, we take medical texts and medical images as the basic integrated objects, DICOM, HL7 messages and datasets as the integrated units, efficient DICOM, HL7 message construction and parsing methods as basis, design and realize a universal medical information integration and exchange service middleware. Experimental results show that the prototype system could perform medical information integration and exchange among relational database, HL7 and DICOM message, provide a feasible scheme to solve the medical information island and lay a good foundation for establishing the unified medical information integration and sharing platform. The middleware has been applied in the project named "development and demonstration of opened medical information integration system".
Objective To investigate an artificial intelligence (AI) automatic segmentation and modeling method for knee joints, aiming to improve the efficiency of knee joint modeling. Methods Knee CT images of 3 volunteers were randomly selected. AI automatic segmentation and manual segmentation of images and modeling were performed in Mimics software. The AI-automated modeling time was recorded. The anatomical landmarks of the distal femur and proximal tibia were selected with reference to previous literature, and the indexes related to the surgical design were calculated. Pearson correlation coefficient (r) was used to judge the correlation of the modeling results of the two methods; the consistency of the modeling results of the two methods were analyzed by DICE coefficient. Results The three-dimensional model of the knee joint was successfully constructed by both automatic modeling and manual modeling. The time required for AI to reconstruct each knee model was 10.45, 9.50, and 10.20 minutes, respectively, which was shorter than the manual modeling [(64.73±17.07) minutes] in the previous literature. Pearson correlation analysis showed that there was a strong correlation between the models generated by manual and automatic segmentation (r=0.999, P<0.001). The DICE coefficients of the 3 knee models were 0.990, 0.996, and 0.944 for the femur and 0.943, 0.978, and 0.981 for the tibia, respectively, verifying a high degree of consistency between automatic modeling and manual modeling. Conclusion The AI segmentation method in Mimics software can be used to quickly reconstruct a valid knee model.
An efficient organocatalytic cascade reaction has been developed involving a Michael-hemiaminalization relay for the asymmetric synthesis of spiropiperidinone derivatives : bearing adjacent quaternary and tertiary chiral centers via LUMO or HOMO activation. Importantly, this methodology demonstrates that applying distinct activation modes to different substrates in the same reaction can diverge diastereoselectivity. To our knowledge, this is also one of the few published cases of primary amine catalytic [3 + 3] cycloaddition reactions involving alpha-branched beta-ketoamides.
AimTo investigate the effects of mammalian homologue of Drosophila diaphanous-1(mDia1) and Rho-associated coiled-coil-containing protein kinase (ROCK) on the migration and adhesion of dental pulp cells (DPCs). MethodologyLysophosphatidic acid (LPA) was used to activate Rho signalling. mDia1 and ROCK were inhibited by short interfering RNA and the specific inhibitor, Y-27632, respectively. The migration of DPCs was assessed using the transwell migration assay and scratch test. Formation of cytoskeleton and focal adhesions(FAs) was observed by confocal laser scanning microscopy. Cell adhesion and spreading assays were performed. Phosphorylation of focal adhesion kinase (FAK) and paxillin was detected by Western blotting, and the bands were analysed using Adobe Photoshop CS5 software. All experiments were performed at least three times, and data were analysed with one-way anova and a post hoc test. ResultsLPA-triggered activation of Rho and inhibition of ROCK significantly increased the cell migration rate. Cell migration was inhibited by silencing mDia1. mDia1 silencing and ROCK inhibition suppressed the LPA-induced formation of the cytoskeleton, FA and phosphorylation of FAK and paxillin. Inhibition of ROCK or mDia1 facilitated early cell adhesion and spreading; by contrast, the combined inhibition of ROCK and mDia1 neutralized these effects. ConclusionsmDia1 promoted RhoA-induced migration of DPCs, but ROCK had an opposite effect. Both mDia1 and ROCK participated in cytoskeleton formation and adhesion of DPCs. The interactions between mDia1 and ROCK might influence dental pulp repair by determining the migration and adhesion of DPCs.
Background: Advanced liver fibrosis can result in serious complications (even patient's death) after partial hepatectomy. Preoperatively percutaneous liver biopsy is an invasive and expensive method to assess liver fibrosis. We aim to establish a noninvasive model, on the basis of preoperative biomarkers, to predict liver fibrosis in hepatocellular carcinoma (HCC) patients with hepatitis B virus (HBV) infection. Methods: The HBV-infected liver cancer patients who had received hepatectomy were retrospectively and prospectively enrolled in this study. Univariate analysis was used to compare the variables of the patients with mild to moderate liver fibrosis and with severe liver fibrosis. The significant factors were selected into binary logistic regression analysis. Factors determined to be significant were used to establish a noninvasive model. Then the diagnostic accuracy of this novel model was examined based on sensitivity, specificity and area under the receiver-operating characteristic curve (AUC). Results: This study included 2,176 HBV-infected HCC patients who had undergone partial hepatectomy (1,682 retrospective subjects and 494 prospective subjects). Regression analysis indicated that total bilirubin and prothrombin time had positive correlation with liver fibrosis. It also demonstrated that blood platelet count and fibrinogen had negative correlation with liver fibrosis. The AUC values of the model based on these four factors for predicting significant fibrosis, advanced fibrosis and cirrhosis were 0.79-0.83, 0.83-0.85 and 0.85-0.88, respectively. Conclusion: The results showed that this novel preoperative model was an excellent noninvasive method for assessing liver fibrosis in HBV-infected HCC patients.
Aims: To investigate the renal pathological implications in type 2 diabetes mellitus patients with renal involvement. Methods: A total of 328 type 2 diabetes mellitus (T2DM) patients with renal involvement who underwent a renal biopsy and received follow-up for at least one year were recruited in our study. The patients were divided into the diabetic nephropathy (DN), non-diabetic renal disease (NDRD), and NDRD superimposed on DN groups based on the pathological diagnosis. Renal outcomes were defined by the initiation of renal replacement therapy or doubling of the serum creatinine. Kaplan-Meier analysis was used to compare renal survival, and Cox proportional hazard analysis was used to determine the predictors of renal outcomes in the DN group. Results: Renal biopsy findings revealed that 188 patients (57.32%) had pure DN, 121 patients (36.89%) had NDRD alone, and 19 patients (5.79%) had NDRD superimposed on DN. The most frequent subclassification of NDRD was membranous nephropathy (MN). Compared with the NDRD and NDRD superimposed on DN groups, patients with pure DN had poorer renal function and lower renal survival rates. In the DN group, the five-year renal survival rates of glomerular classes of I, Ila, Ilb, Ill and IV were 100%, 84.62%, 60%, 47.5% and 33.33%, respectively. Multivariate Cox proportional hazard analysis showed that the glomerular lesions, proteinuria and serum creatinine were independent risk factors for renal outcomes, while interstitial fibrosis/inflammation and arteriolar hyalinosis were not independently associated with renal outcomes in the DN group. Conclusions: Making an accurate pathologic diagnosis by i enal biopsy is crucial for diabetes mellitus (DM) patients with renal involvement. The findings of our present study indicated that patients with pure ON had poorer renal outcomes than patients with NDRD or NDRD superimposed on DN. The classification of glomerular lesions, proteinuria and serum creatinine were independent risk factors for renal outcomes in the DN group. More studies with large samples and longer time follow-up are needed to evaluate the relationship between pathological changes and clinical characteristics in T2DM patients who have renal involvement. (C) 2017 Elsevier Inc. All rights reserved.
Background: Despite advancements in the diagnosis and treatment of colorectal cancer (CRC), many patients die because of tumor metastasis or recurrence. Therefore, identifying new prognostic markers and elucidating the mechanisms of CRC metastasis and recurrence will help to improve the prognosis of the disease. As dysregulation of microRNAs is strongly related to cancer progression, the aim of this study was to identify the role of miR-4775 in the prognosis of CRC patients and the underling mechanisms involved in CRC progression. Methods: qPCR and in situ hybridization were used to evaluate the expression of miR-4775 in 544 pairs of paraffin-embedded normal and CRC tissues. Kaplan-Meier analysis with the log-rank test was used for survival analyses. Immunohistochemical staining was applied to investigate the expression of miR-4775-regulated Smad7/TGF beta pathway-associated markers. In vitro and in vivo invasion and metastasis assays were used to explore the function of miR-4775 in the progression of CRC. Results: miR-4775 was identified as a high-risk factor for CRC metastasis and recurrence, with high levels predicting poor survival among the 544 studied CRC patients. Furthermore, high miR-4775 expression promoted the invasion of CRC cells as well as metastasis and the epithelial to mesenchymal transition (EMT) via Smad7-mediated activation of TGF beta signaling both in vitro and in vivo. Downregulating miR-4775 or overexpressing Smad7 reversed the tumor-promoting roles of miR-4775/ Smad7/TGF beta in vitro and in vivo. Conclusion: miR-4775 promotes CRC metastasis and recurrence in a Smad7/TGF beta signaling-dependent manner, providing a new therapeutic target for inhibiting the metastasis or recurrence of the disease.
Objectives: Antihypertensive therapy is effective to control blood pressure (BP) and to prevent cardiovascular events, but the further treatment strategies for patients who cannot achieve goal BP with low-dose monotherapy is still under dispute. Our study investigates the effects of high-dose amlodipine and valsartan and their low-dose combination on blood pressure variability (BPV) and pulse wave velocity (PWV) to provide references for clinical medication. Materials and Methods: This study was a prospective, randomized, parallel, case-controlled trial performed in a medical center. A total of 134 outpatients newly diagnosed with essential hypertension or receiving low-dose monotherapy were enrolled and 119 completed the trial. They were randomized into amlodipine 10 mg group (n = 40), valsartan 160 mg group (n = 38) and amlodipine 5 mg + valsartan 80 mg (n = 41) in a 1:1:1 allocation ratio for a 10-week treatment. Demographic data and laboratory indicators were collected at the randomization and 10 weeks after the treatment. The 24-hour ambulatory BP and brachial-ankle PWV were also monitored. Results: All therapies reduced systolic and diastolic BP (P < 0.05). The 24-hour systolic BPV was significantly decreased in amlodipine and combination groups (3.55 +/- 2.57, 4.11 +/- 2.20 versus 2.23 +/- 2.54 mm Hg, P < 0.05). The effects on diastolic BPV differed between different treatments. PWV was lowered by 3 antihypertensive schemes; the degree of which from strongest to weakest were valsartan, combination and amlodipine (228.87 +/- 60.41 versus 152.49 +/- 49.25 versus 99.35 +/- 35.57 cm/second, P < 0.01). Conclusions: All further strategies can effectively control BP. The combination treatment reduces both BPV and PWV noticeably, whereas double-dose amlodipine achieves the greatest BPV decrease and valsartan is best in controlling PWV.
Objective To evaluate the predictive value of lactate dehydrogenase (LDH) to albumin (Alb) ratio (LAR) in the prognosis of severe pneumonia patients complicated with DIC. Methods A total of 312 patients with severe pneumonia hospitalized in the intensive care unit (ICU) of the Affiliated Changzhou No.2 People's Hospital with Nanjing Medical University from January 1, 2018 to March 1, 2023 were retrospectively collected. The clinical parameters, such as gender, age, underlying diseases, and lactate dehydrogenase, albumin etc. l of the first test on admission were collected. LAR, sequential organ failure assessment (SOFA) and acute physiology and chronic health evaluation Ⅱ(APACHEⅡ) within 24 hours were calculated. The firstly endpoint of the study was the incidence of disseminated intravascular coagulation (DIC), the secondary endpoint was the 30-day in-hospital mortality in severe pneumonia patients with DIC. Univariate and multivariate logistic regression were used to analyze the risk factors of severe pneumonia with DIC. The receiver operating characteristic curve (ROC curve) was drawn and the area under the ROC curve (AUC) was calculated to evaluate the predictive value of LAR for the incidence of DIC in patients with severe pneumonia. Results The level of LAR was higher in the severe pneumonia patients with DIC than the severe pneumonia patients without DIC [LAR median ratio 12.72 (8.72, 21.89) vs. 7.23 (5.63, 10.90), P<0.001]. Multiple logistic regression analysis showed that LAR [OR=1.071, 95%CI 1.038 - 1.106, P<0.001] was the independent risk factor of the incidence of DIC in the patients with severe pneumonia. ROC curve analysis showed that the AUC for LAR to predict the incidence of DIC was 0.723, 95%CI 0.650 - 0.796, P<0.001. When the LAR cut-off value was 8.08, the sensitivity was 79.7% and the specificity was 56.1%. Kaplan-Meier survival analysis curve showed that the patients in the above LAR cut-off value group had a significantly lower 30-day survival rate than those in the below LAR cut-off value group (P<0.001). In the subgroup analysis and numerical variable transformed analysis, LAR was still the risk factor of DIC. Conclusion The increased LAR is a high risk factor of the incidence of DIC and mortality in patients with severe pneumonia, which is useful for predicting prognosis of patients with severe pneumonia.