Clinical Significance Of Body Mass Index And Red Blood Cells Distribution Width In Lung Function Assessment With Chronic Obstructive Pulmonary Disease

Background/Aims:The purpose of this study is to observe the changes of Body Mass Index and Red Blood Cell Distribution Width in patients with Chronic Obstructive Pulmonary Disease,and their correlation with the severity of pulmonary function.Methods:This was a retrospective study,COPD patients who met the criteria were selected as the observation group according to the inclusion criteria and exclusion criteria,and healthy people with age and gender matching were selected as the control group.The general demographic characteristics,pulmonary function and blood routine indexes of the study population were analyzed.Results:Compared with the healthy control group,the BMI of COPD group was significantly decreased(P < 0.05),and the BMI was positively correlated with FEV1%pred(r=0.380,P=0.000),while the RDW-CV and RDW-SD were significantly increased(P < 0.05),and the two hematologic indexes were significantly negatively correlated with FEV1%pred(RDW-CV: r=-0.270,P=0.003;RDW-SD:r=-0.242,P=0.008).Multiple Logistic regression analysis showed that BMI,RDW-CV and RDW-SD were independent influencing factors for pulmonary function deterioration in COPD patients.The risk of pulmonary function deterioration in COPD patients was reduced by 0.88 times per unit in BMI(OR=0.876,P < 0.05).The risk of pulmonary function deterioration increased 1.35 times per unit rise in RDW-CV(OR=1.350,P < 0.05).The risk of pulmonary function deterioration increased 1.91 times per unit rise in RDW-SD(OR=1.912,P < 0.05).The AUC of ROC curve for the combined BMI and RDW-SD was 0.8359(P<0.0001),with a sensitivity of 60.17%,and a specificity of 97.56%.Conclusion:Low BMI,increased RDW-CV and RDW-SD were independently associated with pulmonary function deterioration in COPD patients,and they could be used as poor prognostic indicators in COPD patients.In addition,the combination of BMI and RDW-SD can be used as an effective clinical indicator for poor prognosis of COPD.