Mean Corpuscular Volume, Red Blood Cell Volume Distribution Width With Non-severe Aplastic Anemia Cyclosporine A Joint Stanozolol Therapy Efficacy Correlation Studies

Objective:observed the change of mean corpuscular volume (MCV), red blood cell volume distribution width (RDW) in a non-severe aplastic anemia (NSAA) patients with cyclosporine A (CsA) combined stanozolol treatment, and to explore the relationship between MCV、RDW and in NSAA patients therapy effect, the applied value of MCV and RDW on the efficacy prediction of the NSAA patients with CsA combined stanozolol therapy were researched and analyzed. Methods:101cases of the patients who were newly diagnosed with non-severe aplastic anemia, male58cases, female43cases, were given CsA combined stanozolol regimen.respectively before treatment and3months,6months of treatment, the application of Japanese Heath Meikang Company sysmex-XE-5000automated hematology analyzer blood test to obtain MCV, RDW values,meanwhile determine the efficacy of treatment.by observing different observation time, the efficacy of different treatment of patients with MCV, RDW values differences and treatment results were statistically analyzed and receiver operating characteristic (ROC) curve was used to estimate the sensitivity and specificity of MCV、RDW in predicting early treatment results, analysis of MCV, RDW efficacy in patients with NSAA relationship and the value in the prediction of efficacy.Results:1. NSAA patients at different times, different grouping efficacy between MCV, RDW differences (P<0.05), but at the time there was no interaction between group and efficacy. Before treatment, MCV, RDW with sex, age, WBC, ALC, PLT, ANC was no correlation (P>0.05), with the ARC positive linear correlation (P<0.05).2. NSAA patients before MCV, RDW were higher than normal.3months of treatment, patients receive therapy before treatment efficacy MCV levels were not obtained no difference (P=0.186), in the treatment of six months, to get therapy before treatment MCV levels higher than winners (P=0.011); while patients receive treatment efficacy in the treatment of pre-RDW levels3months,6months of treatment, were lower than the winner did not (P<0.05).3. MCV, RDW predict patient outcomes OK NSAA ROC curve drawing, RDW3months of treatment area under the ROC curve of0.741(P=0.000) than MCV0.605(P-0.074), best predicted thresholds were15.55%and97.55fl, sensitivity was75.6%and80.5%, specificity was73.3%and46.7%; treatment for6months RDW area under the ROC curve of0.647(P=0.011) than MCV0.645(P=0.012), thresholds were best predicted15.55%and104.60fl, RDW, MCV sensitivity was62.3%and54.7%, specificity was70.8%and75%.4.According to the threshold MCV, RDW forecast NSAA patients CsA combined stanozolol treatment efficacy,compared the treatment efficacy MCV≥97.55fl,RDW<15.55%group was significantly better than MCV <97.55fl,RDW≥15.55%group at3month, compared the treatment efficacy MCV≥104.60fl,RDW <15.55%group was significantly better than MCV<104.60fl,RDW≥15.55%group at6month (P<0.05).5The effect of the NSAA patients with CsA combined stanozolol treatment of early efficacy univariate and multivariate analysis showed:The combination of MCV and RDW detection has nothing to do with the early efficacy of NSAA patients. NSAA patients before treatment RDW, ARC were independent prognostic factors of affecting the curative effect of early.before treatment ARC<20X109/L, RDW≥15.55%, is not easy to predict early access to treatment efficacy.6.In84patients with ARC≥20×109/L of NSAA patients,through RDW cutoff Layered compare treatment response:RDW<15.55%group was significantly better than the RDW≥15.55%group (P=0.000). Conclusion1. MCV can not serve as of a significant predictor of early treatment response in non-severe aplastic anemia.2.RDW can serve as of the bone marrow failure severity indicators and a significant predictor of early treatment response in non-severe aplastic anemia,The joint reticulocyte absolute value parameters, which can more accurately predict treatment efficacy.3. RDW detection technology conditions are ripe, the detection method is simple and inexpensive, the future will RDW risk factor stratification as a sign of further in-depth study to be more.