Objective To identify the diseases outcome of inpatients of prefectural hospital in Xinjiang,through analyzing the diseases outcome of inpatients of a prefectural hospital in Xinjiang from 2006 to 2008.Methods To analyze the diseases outcome of inpatients(20 533 cases)randomly selectedin hospital from 2006 to 2008 the date were aralgzed.according to year,gender,ethnicity,disease systems.Results The overall cured rate,improved rate,healed rate,fatality rate of inpatients was 42.10％(8663 cases),51.10％(10 463 cases),6.00％(1242 cases),0.80％(165 cases)respectively.The fatality rate of inpatients of above 60 years old,45 ～59 years old,15 ～44 years old is higher in inpatients of various age groups; The fatality rate of inpatients of tumor,circulatory system diseases,symptoms of menopause with the experimental and clinical body seen to be kind to the suffering of its is higher in inpatients of various systemic diseases,binary multinomial logistic regression shows that the disease outcome is influenced by gender,age,disease systems,hospital annual,four single factors,but not influenced by ethnicity.Conclusion The cured rate adding improved rate is over 90％ of common and frequently-occurring diseases in the prefectural hospital of Xinjiang province.The fatality rate is higher in inpatients who suffered from tumor or circulatory system diseases or symptoms of menopause with the experimental and clinical body seen to be kind to the suffering of its and the fatality rate of all age groups over 15 years old is higher.

ObjectiveTo explore the determinants of average length of stay of three county hospitals and eleven countryside hospitals of Xinjiang province.MethodsRelative data of the county and the countryside hospitals from 2009 to 2010 were collected,and descriptive analysis and rank sum test were employed to explore the determinants of average length of stay.ResultsThe average length of stay of the county hospital was longer than the countryside hospital,the average length of stay had significant differences between the gender,age,and the disease classfication.ConclusionThe average length of stay of the county hospitals and countryside hospitals had difference significantly.

Objective:To explore the risk factors for early trauma-induced coagulopathy (TIC) following severe trauma in the elderly patients.Methods:A case-control study was used to analyze the clinical data of 317 elderly patients with severe trauma admitted to Second Affiliated Hospital of Zhejiang University School of Medicine between February 2015 and November 2020. There were 212 males and 105 females, aged 65-96 years [(72.6±6.8)years]. The patients were divided into TIC group ( n=32) and non-TIC group ( n=285) using the international normalised ratio (INR)>1.5 as the reference standard. Sex, age, trauma sites, injury severity score (ISS), Glasgow coma scale (GCS), first body temperature on admission, shock index(SI), first laboratory results of arterial blood gas, routine blood and coagulation, blood transfusion, usage of blood product, hospitalization days and clinical outcomes were compared between the two groups. Univariate and multivariate Logistic regression analysis were used to identify the risk factors for early TIC in patients with severe trauma. Results:Differences in sex, age, injuries to the face, chest and abdomen, GCS, first body temperature and hospitalization days were not statistically significant between the two groups (all P>0.05). The two groups showed statistical differences in the ratio of injuries to head, neck and extremities, ISS, SI, pH value, base excess (BE), lactate, hemoglobin (Hb), platelet (PLT) count (first detection, lowest level), activated partial thromboplastin time (APTT), thrombin time (TT), plasma fibrinogen (FIB), blood transfusion and usage of blood product and clinical outcomes (all P<0.05). According to the univariate analysis, injuries to the head, neck and extremities, ISS, first body temperature, SI, pH value, BE, lactate, Hb, PLT, APTT, TT and FIB were correlated with the occurrence of early TIC (all P<0.05). Multiple Logistic regressions analysis showed that SI ( OR=1.54, 95% CI 1.10-2.17, P<0.05), PLT ( OR=0.67, 95% CI 0.49-0.91, P<0.05) and FIB ( OR=0.56, 95% CI 0.40-0.78, P<0.01) were significantly correlated with the occurrence of early TIC. Conclusion:For elderly patients with severe trauma, higher SI, lower PLT count and lower concentration of FIB are independent risk factors for the incidence of early TIC.