Objective To construct a differential diagnosis model for systemic lupus erythematosus(SLE)from other autoimmune diseases based on the conventional test indicators in clinical laboratory,so as to improve the diagnostic efficacy of the existing test indicators.Methods The data of 178 SLE patients(SLE group)and 196 patients with other autoimmune diseases(control group)diagnosed in Sichuan Provincial People's Hospital from Apr.2022 to Mar.2023 were retrospectively analyzed.The differences in the levels of 19 clinical routine indicators between the 2 groups were analyzed.The least absolute shrinkage and selection operator(LASSO)regression was used to screen for test indicators with non-zero coefficients.These indicators were then used in logistic regression to construct a Nomogram model for SLE differential diagnosis.Model performance was assessed using receiver operating characteristic(ROC)curves and decision curve analysis.Results The levels of anti-cardiolipin antibody immunoglobulin(Ig)G,anti-cardiolipin antibody IgA,high-sensitivity C reactive protein(hs-CRP),D-dimer,and thrombin time(TT)in the SLE group were significantly higher than those in the control group(all P＜0.05),while the levels of IgM,complement 3(C3),complement 4(C4),prothrombin time(PT),and activated partial thromboplastin time(APTT)in the SLE group were significantly lower than those in the control group(all P＜0.05).Through LASSO regression,IgM,C3 and C4 were selected as the most likely indicators with non-zero coefficients.Multivariate logistic regression analysis showed that the differential diagnosis model was Logit P=4.18-1.34 × IgM-1.70 × C3-6.61 × C4.The area under the curve of this model was 0.80(95％confidence interval 0.76-0.85),with a sensitivity of 0.77 and a specificity of 0.74.Decision curve analysis demonstrated favourable clinical utility within a threshold probability range of 0.2-0.9.Conclusion The present model,constructed using the clinical routine indicators,such as IgM,C3 and C4,is helpful for the differential diagnosis of SLE from other autoimmune diseases and has good clinical application value.

Objective To build the dataset of Chinese visible human female. Methods After undergoing macroscopical, CT and MRI examinations to exclude organic lesions, a young female cadaver of medium height was selected as the subject. After morphological measurement and vascular perfusion, the cadaver was embedded with 5% gelatin and cryopreserved in a -30 ℃ icehouse for 1 week. A digital milling machine TK 6350 (milling accuracy of 0.001 mm) was used to shave off slices of the body layer by layer from head to foot in a laboratory at -25 ℃. The successive cross sections were photographed with a high definition digital camera, and the pictures were put into a computer to establish a dataset of human body. By utilizing the image dataset derived from the successive cross sections, 3D reconstruction and stereodisplay of human structure were finished with a SGI Workstation which was equipped with an independently self developed software package for 3D reconstruction. Results The selected specimen, a 22 year old female native of Chongqing, was 1 620 mm in height, 54 kg in weight and died of non organic disease. CT scans were made in every 1.0 mm for head and neck and every 2.0 mm for rest parts, and the thickness for MRI scans was 1.5 mm for head and 3.0 mm for rest parts. For serial cross sections, the thickness was 0.25 mm for head and 0.5 mm for rest parts. Thus, a total of 3640 slices were obtained, and the photo for every slice was saved as a 36 MB file in a resolution of 6 291 456 pixels (3 072?2 048). Finally, the complete data files reached to 131.04 GB. Conclusion ① This is the first formally reported case of Chinese visible human female, suggesting that China becomes the second country owning visible human female dataset of her population. We set up a website for the purpose of exchanging ideas and information on this subject. So, the results are issued simultaneously on the Internet (http://www.chinesevisiblehuman.com).② According to US Visible Human Project(VHP), the data of the 3 junctional parts of their female cadaver were absent because the body was cut into 4 segments. Taking the age of 59 year old into account, the visible human female's body was not exactly perfect. The sections of 0.33 mm in thickness were saved to pictures at a resolution of 2 490 368 pixels (2 048?1 216). While, the first Chinese visible human female reported here is a young female without organic disease or lesion. No sectional datum is lost for being acquired from successive sections of the whole body. The resolution of cross sectional image reaches to 6 291 456 pixels (3 072?2 048).