Objective To determine the normal range of hematological and visceral weight parameters of F 1 4-week and 8-week old, male and female transgenic CB6F1 mice.The influence of gender and week age on the biochemical parameters was assessed .Methods 4-week and 8-week old CB6F1 mice, half male and half female ( n=20 in each group) , were weighed alive , dissected to weigh the main viscera , and blood samples were collected to test the physiological and biochemical parameters .Results When 4-week old and 8-week old CB6F1 mice were compared , there were significant differences in 22 parameters (body weight, heart, liver, spleen, left ovary, left testis, right testis, WBC, RBC, HGB, HCT, MCV, MCH, PCT, MPV, PDW, LYM, TP, ALT, ALB, P and TG) (P<0.01 for all), and in 8 parameters (left kidney, right kidney, right adrenal, thymus, left ovary, RDW, MON%and BUN) (P<0.05 for all). When male and female 4-week CB6F1 mice were compared, there were significant differences in 14 parameters ( body weight, heart, liver, spleen, lung, left kidney, right kidney, MCHC, LYM, ALT, ALP, GLU, P and CHO) (P<0.01 for all), and in 6 parameters (right adrenal, WBC, PCT, MPV, TP and BUN) (P<0.05 for all).For male and female 8-week old CB6F1 mice, there were significant differences in 15 parameters (body weight, heart, liver, lung, left kidney, right kidney, MCV, PCT, LYM, LYM%, NEUT%, ALT, GLU, P and CHO) (P<0.01 for all), and in 5 parameters (WBC, RBC, MPV, NEUT and TP) (P<0.05 for all).Conclusions The normal range of hematological and visceral weight parameters of 4-week and 8-week old male and female CB6F1 mice are determined.Our study establishes normal detection indexes of CB6F1 mice and provides useful reference for its application .

Objective To summarize the treatment decision-making strategy and its long-term efficacy for advanced elderly patients with severe valvular heart disease and clear indications for surgery.Methods Clinical data of 196 patients aged 75 years and older firmly diagnosed as severe valvular heart diseases were retrospectively analyzed.The patients were divided into the surgical group (a mean age of 77.4±2.0 years,n=126)and the conservative group(a mean age of 80.5±5.0 years,n =70).Factors affecting therapeutic decision-making were analyzed,and the differences in a long-term survival were compared between the two groups.Results The most common reason for choosing conservative treatment was the recommendation of the doctor giving a preliminary diagnosis and worrying about the high-risk surgery for the patients(62.9％,44/70).Only 26(37.1％)patients in the conservative group were evaluated by cardiac surgeons,among whom 12 (17.1％)patients were considered to have surgical contraindications,and 14 (20.0％) patients themselves or their family members chose conservative treatment for the fear of surgical risks.Patients in the operation group were mainly from the outpatient department of cardiac surgery,and only 8 (6.3 ％)cases were referred from department of internal medicine.Logistic regression analysis showed that female,chronic renal insufficiency,advanced age,pneumonia and emergency hospital admissions were independent predictors for the conservative option(P ＜0.01),while patients with isolated aortic valve disease tended to receive surgical treatment.Overall 5-year survival was higher in the surgical group than in the conservative group (76.4％ vs.39.9％,P ＜ 0.01).Cox regression analysis disclosed that the conservative treatment option was the single risk factor for long-term survival in all series.Conclusions Many factors affect the process of therapeutic decision-making for patients with severe valvular heart diseases,and a multidisciplinary collaboration is the best way for the optimal treatment strategy for those patients.

Objective: To establish the knowledge graph of “disease-syndrome-symptom-method-formula” in Treatise on Febrile Diseases (Shang Han Lun,《伤寒论》) for reducing the fuzziness and uncertainty of data, and for laying a foundation for later knowledge reasoning and its application. Methods: Under the guidance of experts in the classical formula of traditional Chinese medicine (TCM), the method of “top-down as the main, bottom-up as the auxiliary” was adopted to carry out knowledge extraction, knowledge fusion, and knowledge storage from the five aspects of the disease, syndrome, symptom, method, and formula for the original text of Treatise on Febrile Diseases, and so the knowledge graph of Treatise on Febrile Diseases was constructed. On this basis, the knowledge structure query and the knowledge relevance query were realized in a visual manner. Results: The knowledge graph of “disease-syndrome-symptom-method-formula” in the Treatise on Febrile Diseases was constructed, containing 6 469 entities and 10 911 relational triples, on which the query of entities and their relationships can be carried out and the query result can be visualized. Conclusion The knowledge graph of Treatise on Febrile Diseases systematically realizes its digitization of the knowledge system, and improves the completeness and accuracy of the knowledge representation, and the connection between “disease-syndrome-symptom-treatment-formula”, which is conducive to the sharing and reuse of knowledge can be obtained in a clear and efficient way.