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Background: Models to predict mortality in trauma play an important role in outcome prediction and severity adjustment, which informs trauma quality assessment and research. Hospitals in China typically use the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) to describe injury. However, there is no suitable prediction model for China. This study attempts to develop a new mortality prediction model based on the ICD-10-CM lexicon and a Chinese database., Methods: This retrospective study extracted the data of all trauma patients admitted to the Beijing Red Cross Emergency Center, from January 2012 to July 2018 (n = 40,205). We used relevant predictive variables to establish a prediction model following logistic regression analysis. The performance of the model was assessed based on discrimination and calibration. The bootstrapping method was used for internal validation and adjustment of model performance., Results: Sex, age, new region-severity codes, comorbidities, traumatic shock, and coma were finally included in the new model as key predictors of mortality. Among them, coma and traumatic shock had the highest scores in the model. The discrimination and calibration of this model were significant, and the internal validation performance was good. The values of the area under the curve and Brier score for the new model were 0.9640 and 0.0177, respectively; after adjustment of the bootstrapping method, they were 0.9630 and 0.0178, respectively., Conclusions: The new model (China Mortality Prediction Model in Trauma based on the ICD-10-CM lexicon) showed great discrimination and calibration, and performed well in internal validation; it should be further verified externally., (Copyright © 2021 The Chinese Medical Association, produced by Wolters Kluwer, Inc. under the CC-BY-NC-ND license.)

Background: An important purpose of orthodontic treatment is to gain the harmonic soft tissue profile. This article describes a novel way to build patient-specific models of facial soft tissues by transforming a standard finite element (FE) model into one that has two stages: a first transformation and a second transformation, so as to evaluate the facial soft tissue changes after orthodontic treatment for individual patients., Methods: The radial basis functions (RBFs) interpolation method was used to transform the standard FE model into a patient-specific one based on landmark points. A combined strategy for selecting landmark points was developed in this study: manually for the first transformation and automatically for the second transformation. Four typical patients were chosen to validate the effectiveness of this transformation method., Results: The results showed good similarity between the transformed FE models and the computed tomography (CT) models. The absolute values of average deviations were in the range of 0.375 - 0.700 mm at the lip-mouth region after the first transformation, and they decreased to a range of 0.116 - 0.286 mm after the second transformation., Conclusions: The modeling results show that the second transformation resulted in enhanced accuracy compared to the first transformation. Because of these results, a third transformation is usually not necessary.

Background: Ginsenosides are main components extracted from ginseng, and ginsenoside Rg3 is one of the most important parts. Ginsenoside Rg3 has been found to inhibit several kinds of tumor growth and metastasis. The present study was undertaken to investigate the effect of ginsenoside Rg3 on human ovarian cancer metastasis and the possible mechanism., Methods: The experimental lung metastasis models of ovarian cancer SKOV-3 and the assay of tumor-induced angiogenesis were used to observe the inhibitory effects of Rg3 on tumor metastasis and angiogenesis. The effect of Rg3 on invasive ability of SKOV-3 cells in vitro was detected by Boyden chamber, and immunofluorescence staining was used to recognize the expression of matrix metalloproteinase 9 (MMP-9) in SKOV-3 cells., Results: In the experimental lung metastasis models of ovarian cancer, the number of tumor colonies in the lung and vessels oriented toward the tumor mass in each ginsenoside Rg3 group, was lower than that of control group. The invasive ability and MMP-9 expression of SKOV-3 cells decreased significantly after treatment with ginsenoside Rg3., Conclusions: Ginsenoside Rg3 can significantly inhibit the metastasis of ovarian cancer. The inhibitory effect is partially due to inhibition of tumor-induced angiogenesis and decrease of invasive ability and MMP-9 expression of SKOV-3 cells.

Background: Ginsenoside Rg3, the main component isolated from ginseng, inhibits some kinds of tumour growth and angiogenesis. The combination of low dose chemotherapy and antiangiogenesis inhibitors suppresses growth of experimental tumours more effectively than conventional therapy. The effect of this combination on ovarian cancer remains to be evaluated. Therefore, we investigated the synergism of ginsenoside Rg3 and cyclophosphamide (CTX) on growth and angiogenesis of human ovarian cancer., Methods: Twenty-eight female athymic mice were divided randomly into 4 groups of 7: ginsenoside Rg3, CTX, ginsenoside Rg3 and CTX combination and control, after being transplanted with ovarian cancer cells (SKOV-3). The mice were given intraperitoneal injection of ginsenoside Rg3 and CTX for the 10 days following inoculation of SKOV-3 cells. The life quality and number of living days of mice were recorded. The size of tumour, tumour inhibitive rate, life elongation rate, proliferating cell nuclear antigen labelling index (PCNALI), expression of vascular endothelial cell growth factor (VEGF) and microvessel density (MVD) of the tumour tissues were estimated., Results: Life quality of mice in ginsenoside Rg3 and combined treatment groups were better and number of living days longer than control. Average tumour weights of each treated group were less than control and there was no significant difference among the treated groups. PCNALI of treated groups was lower than control. The MVD value and VEGF expression in treated groups were significantly lower than control and the MVD values of ginsenoside Rg3 and combined treatment groups were lower than that of CTX group., Conclusions: Ginsenoside Rg3 significantly inhibited growth and angiogenesis of ovarian cancer when used alone or combined with CTX. Ginsenoside Rg3 and CTX combination reinforced the antitumour effect each other and improved the living quality and survival time of mice with tumour.