Objective To establish a discriminant method based on clinical and laboratory data and common examinations for early predicting the severity of pediatric infection. Methods Consecutive hospitalized patients diag-nosed as septic shock were included who were admitted between June 2014 and May 2015 retrospectively. Gender (male - female ratio:1. 25∶ 1. 00)and age(1 month to 6 years old)were matched in all of 18 patients with septic shock,and 27 patients diagnosed as systemic inflammatory response syndrome(SIRS),sepsis and severe sepsis on ad-mission were included respectively in order of sequential admission number during the same period. Additional 36 gen-der - and age - matched children with common infection(non - SIRS)were enrolled as controls. The clinical and labo-ratory examination data of all the included patients were collected and then the pediatric critical illness scores(PCIS) were made according to the worst condition within 24 hours of hospitalization. The parameters correlated with the severi-ty of infection were evaluated by rank correlation and Logistic regression analysis. The discriminant models were estab-lished based on κth - nearest - neighbor analysis and evaluated with clinical diagnosis by interrater agreement test. Results Except for platelet count,the other indexes including PCIS,neutrophil count,C - reactive protein,procalcito-nin(PCT),international normalized ratio of prothrombin time,activated partial thromboplastin time,thrombin time,fi-brinogen,fibrin/ fibrinogen degradation product(FDP)and D - dimer(D - D)all had differences among groups with varying infection severity(all P ﹤ 0. 001). The Spearman's coefficient ρ of PCIS,PCT,D - D and FDP correlated to in-fection severity were - 0. 837,0. 680,0. 679 and 0. 648,respectively(all P ﹤ 0. 001). Multivariate cumulative odds Lo-gistic regression analysis showed PCIS,D - D and PCT were related to infection severity(all P ﹤ 0. 05). The total error rate of discriminant models based on 3 - index combination(Mahalanobis transformation,k = 2)was 0. 091 that was lower than any models based on 2 - index combination or single - index. Using the discriminant model based on three -index combination,the infection severity of 26 patients admitted during June 2015 were predicted with a high interrater a-greement(weighted Kappa coefficient:0. 670,P ﹤ 0. 001)compared to clinical diagnosis. Conclusion The discriminant model based on combination of PCIS,D - D and PCT could assist predicting the severity of pediatric infection earlier.

Acute leukemia is the most common malignant tumor in children in our country.Its pathogenesis includes transformation of proto oncogene,tumor suppressor gene distortion,inhibition of apoptosis etc..Under the action of carcinogenic factors,chromosome mutation,deletion,rearrangement or gene amplification can lead to the structural variation of proto oncogenes and tumor suppressor genes,resulting in a new fusion gene.Some of these genes are tran-scription factors regulating cell proliferation,differentiation,aging and death,when the gene is mutated,directly affect the downstream signaling pathways,leading to cell proliferation,apoptosis and enhanced (or)differentiation disorders, leading to leukemia.In recent years,with the development of gene sequencing technology,more and more leukemia prognostic genes have been displayed in public view and applied in clinical treatment and prognosis,relapse,etc..

BACKGROUND:At present, there are many methods to treat cartilage defects, but none radical y repairs the articular cartilage defects.
OBJECTIVE:To histological y verify the effect of naringin combined with tissue engineering cartilage on the repair of rabbit articular cartilage defects.
METHODS:Rabbit bone marrow mesenchymal stem cells fol owing in vitro proliferation were compounded onto acellular dermal matrix, which was then implanted into rabbit knee cartilage defects. Naringin was also given by lavage. Hematoxylin-eosin staining, Masson trichrome staining, toluidine blue dyeing, type II col agen staining and type X col agen staining were performed in the repaired tissue.
RESULTS AND CONCLUSION:After 8 weeks post-surgery, the defects repaired with the naringin and stem cells composite were turned into milky-white and transparent smooth tissue. The defective tissue which was repaired, was very similar to normal cartilage tissue, with smooth surface. After the histology research, we found that the defect tissue was fil ed with new cartilage tissue. Results indicated that naringin combined with tissue engineering cartilage can promote the repair of articular cartilage defects in rabbits.