| [Background]Neutrophil/lymphocyte ratio(NLR),is a newly discovered simple and stable inflammation index.It mainly reflects the body’s oxidative stress and inflammatory response state.NLR also showed a good prospect in independent predictors of prognosis in patients with insulin resistance and COPD.However,there is a lack of research on the prediction of new T2DM about NLR in COPD populations.It is quite meaningful to identify the high risk T2DM patients in the COPD population.We can monitor their blood sugar level at early stage.It will help to improve the quality of life,reduce the risk of infection and other diabetes complications of COPD patients.[Ojective]This study,designed as a single-centered prospective research,focused on the follow-up of stble COPD patients,who were recruited in Zhujiang Hospital of Southern Medical University,to investigate the relationship between T2DM and risk factors in stable COPD patients.And it tried to screen out possible independent risk factors.We aim to identify patients with high risk of T2DM in COPD patients as early as possible,to monitor their blood glucose levels,to provide guidance for early detection and early treatment of T2DM,and to further explore the NLR in patients with stable COPD,in the new type 2 diabetes mellitus of the early predictive value of the evaluation,for the early prediction of COPD patients with new diagnosis of T2DM.[Method]The outpatients who were diagnosed of COPD in stable period and without diabetes in Zhujiang Hospital of Southern Medical University from January 2010 to December 2012.And their history and basic clinical data were recorded at the time of enrollment.Biochemical indicators were measured as well.A recheck of the blood glucose were every six months.The patients who were diagnosed of type 2 diabetes would end their follow-up.Maximum follow-up time was 3 years.All patients who were not diagnosed of T2DM would recheck their clinical data and biochemical indicators.And then we would analyze the data to calculate the cumulative incidence of diabetes in those COPD patients.The patients were divided into two groups according to whether patents developed diabetes at the end of each follow-up:COPD with T2DM group and COPD group without T2DM group(control group).SPSS 21.0 was used as statistical software for statistical analysis.We used the mean ± standard Difference to express consistent with the normal distribution of measurement data.And we used t test to compare the difference between two groups.χ2 test were used to count data adoption rate(%)in compare the two rates.The risk factors of COPD with T2DM were analyzed by Pearson correlation.The independent risk factors were screened by univariate Logistic regression analysis.Multivariate Logistic analysis was used to analyze the relationship between risk factors and COPD.In the bilateral test,we used P<0.05 when the difference was statistically significant.To compare the indexes of the two groups before and after the follow-up,we tried to explore the early prediction of T2DM in patients with COPD.And we tried to find the correlation between the occurrence of T2DM,if NLR is one of the independent risk factors of T2DM.[Result]At the end of the 3-year follow-up,404 stable non-diebetic COPD patients were included in this study.All patients were followed up for an average of 2.1 years.The cumulative incidence of COPD with diabetes was 10.1%.In this study,we found that the NLR of COPD patients with new T2DM was significantly different from the control group at the beginning(P<0.001).Multivariate logistic regression analysis showed that triglycerides(P = 0.047,OR = 1.396,95%CI =(1.005-1.940))and NLR(P<0.001,OR = 1.631,95%CI =(1.393-1.909))were independent risk factors for T2DM in COPD patients.[Conclusion]This study found that NLR and triglycerides are independent risk factors for T2DM in COPD patients.Elevated levels of NLR are closely related with COPD patients complicated with new diabetes.NLR may be an effective early predictor of type 2 diabetes in COPD patients. |
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