| Purpose: To explore the value of β2-microglobulin β2-m and electrolyte levels in different stages of chronic obstructive pulmonary disease,and to provide evidence for clinical diagnosis of the disease.Method: Acute Exacerbation of Chronic Obstructive Pulmonary Disease was used in a retrospective analysis of cases from September 2021 to October 2022 A total of 180 patients admitted to the Department of Respiratory and Critical Care Medicine,Affiliated Hospital of Yan ’an University were classified into non-respiratory failure group and respiratory failure group according to arterial blood gas analysis of oxygen partial pressure and carbon dioxide partial pressure.At the same time,patients in AECOPD group were divided into two groups according to whether or not they had cor pulmonale.Meanwhile,30 patients with Obstructive Pulmonary Disease returned to the clinic within the same time were collected as the stable Chronic Obstructive Pulmonary Disease COPD group.Through the medical record browser of the Affiliated Hospital of Yan ’an University,the patient data were consulted,and the baseline data such as gender,age,height,weight and smoking status were collected.The body mass index(BMI)was calculated based on the weight and height values.Venous blood reporting parameters collected for admission: Neutrophil count(NEU),lymphocyte count(LYM),eosinophil count(EOS),hemoglobin(HB),hypersensitive C-reactive protein(hs-CRP),beta-2 microglobulin,serum electrolytes(sodium,potassium,sodium,magnesium,chlorine),Neutrophil lymphocyte ratio(NLR)was calculated by NEU and LYM.According to the results of arterial blood gas: arterial partial oxygen pressure(Pa O2),arterial partial carbon dioxide pressure(Pa CO2),the diagnosis of arterial partial oxygen pressure ≥ 60 mm Hg was no respiratory failure.Respiratory failure occurs when the partial oxygen pressure(Pa O2)is less than 60 mm Hg,regardless of whether the partial carbon dioxide pressure(Pa CO2)is normal or elevated.The collected data were statistically analyzed for the level changes of β2-microglobulin and electrolyte in COPD patients at different stages of the diseaseResults: 1.A total of 180 patients with AECOPD meeting the exclusion standard,including 106 males(58.8%)and 74 females(41.2%),and 30 patients in COPD group,including 13 males(43.3%)and 17 females(56.7%).Univariate analysis,Among them,BMI,whether combined with cor pulmonalis,EOS,hs-crp,NLR,β2-microglobulin,serum chlorine and serum calcium had statistical significance(P < 0.05).The above single factors with statistical significance were included in binary logistic regression analysis.logistic regression analysis showed: β2-microglobulin and serum chlorine were associated with acute exacerbation in COPD group.2.According to the clinical classification of respiratory failure,AECOPD patients were divided into 103 cases(57.2%)without respiratory failure and 77 cases(42.8%)with respiratory failure,which were statistically significant(P < 0.05).The above statistically significant single factors were incorporated into binary logistic regression analysis as shown: β2-microglobulin,serum chlorine,serum magnesium and serum calcium were correlated with respiratory failure.3.The AECOPD group was divided into two groups according to whether the patients were complicated with cor pulmonale,including 112 cases(62.2%)without cor pulmonale and 68 cases(37.8%)without cor pulmonale.The results showed that EOS,NLR,β2-microglobulin,serum chlorine and serum potassium were statistically significant(P < 0.05).The above statistically significant single factors were included in binary logistic regressionanalysis,which showed that EOS,β2-microglobulin,serum potassium and serum chlorine were correlated with cor pulmonale.Conclusion: 1.The level of β2-microglobulin was positively correlated with the development of COPD patients’ disease severity.2.Electrolyte levels were negatively correlated with the progression of COPD severity.3.β2-microglobulin and electrolyte levels are routine clinical assay items and easy to obtain,providing reference value for early clinical identification of high-risk groups and active and effective intervention. |