Objective:Comparative analysis detection indexes such as [ inhibition C ( CysC ) , BUN, Scr, eGFR-MDRD and eGFR-cys] of application value in the diagnosis of early DN.Methods: Randomly collected the Type 2 diabetes ( Type 2 diabetes mellitus,T2DM)214 cases patients to our hospital check-up and 100 healthy people from January 2012 to October 2014,and according to the urinary albumin excretion rate could divided into pure T2DM group and diabetes group(DN group),collected the patient′s serum creatinine( Scr) ,urea nitrogen( BUN) ,serum[ inhibition( Cys C) detection indexes such as C,and USES the simplified MDRD formula according to the Scr estimate the eGFR(eGFR-MDRD),while using CysC CHINAcys equation calculated eGFR,eGFR-Cys],make statistical analysis for these measurements.Results: DN group compared with control group ,the BUN,Scr,CysC,eGFR-MDRD and eGFR-cys had significant changes,including BUN,Scr and CysC was significantly higher than control group;EGFR-MDRD and eGFR-cys significantly lower compared with control group,5 testing indexes,P<0.05.Five commonly used detection index curve of ROS area was greater than 0.5,and P<0.05.A single detection index of CysC indicators could reach 80.38,the highest followed by BUN and eGFR-MDRD;And joint detection of eGFR MDRD+Cys C much higher sensitivity and an index of eGFR-MDRD+eGFR-Cys and other individual detection index.Conclusion:eGFR-MDRD CysC indicator in the diagnosis of early DN screening is an effective,feasible, and the method of high accuracy.

Objective To investigate the nurses ’ occupational commitment and intent to stay in hospitals and to analyze the correlation between them .Methods Totals of 469 subjects in 5 three level of first-class hospitals of Harbin city were obtained by using convenience sampling method .Research instruments used in this study had three parts , including demographic questionnaire , Nurses Occupational Commitment questionnaire and Intent to Stay Scale .Results The average score of nurses ’ occupational commitment was (72.46 ±12.76), and the average score of nurses ’ intent to stay was (14.39 ±3.35).Pearson analysis showed that intent to stay was positively correlated with occupational commitment and its five subscales such as affective commitment, normative commitment, emotional cost, economic cost, and chance commitment ( r =0.528,0.504,0.412,0.337,0.381,0.324, respectively;P<0.01).The predictors of intent to stay of nurses were age , education level and emotional commitment .Conclusions In order to stabilize nursing staff and reduce their turnover intention , administrators should issue and implement some interventions to increase occupational commitment and decrease their perceived job stress .