Predictive value of glomerular filtration rate estimated by three FAS formulas for all-cause mortality in patients in coronary care unit

Objective To compare the predictive value of estimated glomerular filtration rate(eGFR) estimated by three FAS formulas for all-cause mortality in coronary care unit(CCU) patients.Methods From January 1,2014 to June 1,2015,a total of 369 CCU patients were recruited.The values of eGFR_FASScr,eGFR_FASCysC and eGFR_FASScr-CysC were calculated by three FAS formulas.Cox regression analysis was utilized for examining the influencing factors of all-cause mortality and receiver operating characteristic curve(ROC) was plotted for evaluating the predictive value of the influencing factor for all-cause mortality in CCU patients.Results Among them,93(25.2%) had all-cause mortality events.Univariate Cox regression analysis revealed that age,AKI,operation,use of vasoactive drugs,use of breathing machine,hemoglobin(Hb),albumin(Alb),cystatin C(CysC),serum creatinine(Scr),high sensitivity-C reactive protein(hs-CRP),acute physiology and chronic health evaluation Ⅱ(APACHE Ⅱ) score,chronic kidney disease history,eGFR_FASScr,eGFR_FASCysC and eGFR_FASScr-CysC were associated with all-cause mortality(P<0.05).And multivariate Cox regression analysis showed that eGFR_FASCysC(HR=0.960,95%CI:0.928~0.992,P=0.016) was an independent influencing factor for all-cause mortality in CCU patients.And eGFR_FASCysC might predict a larger area under the ROC curve for all-cause mortality in CCU patients.Conclusion eGFR_FASCysC is an independent predictor of all-cause mortality in CCU patients.