Objective:To analyze the bone turnover markers in systemic lupus erythematosus (SLE) patients with different disease activity and the risk factors of osteoporosis.Methods:In this retrospective study, a total of 417 SLE inpatients were enrolled from the Department of Rheumatology and Immunology, the First Affiliated Hospital of Xi′an Jiaotong University, from March 2019 to June 2020. According to SLEDAI score, the patients were divided into 3 groups: 281 patients disease with inactive disease group; 99 patients with mild active disease group; and 37 patients with moderate/severe active disease. ANOVA test was used to compare the differences in serum bone turnover markers (PTH, NOST, VITDT, β-crossl, TP1NP, Ca and P) and bone density (Spine L 1~4 and left femur) among the three groups, and Tukey's method was used for the two groups comparison. Logistic regression analysis was used to investigate the risk factors of osteoporosis. Results:Serum VITDT, β-crossl and Ca levels were significantly different among the 3 groups ( F=11.66, P<0.001; F=7.22, P<0.001; F=29.38, P<0.001). Compared with patients in the inactive group, patients with both the mild disease group (VITDT: t=3.94, P<0.001; Ca: t=5.10, P<0.001) and the moderate/severe disease group (VITDT: t=3.33, P<0.001; Ca: t=7.19, P<0.001) had lower VITDT levels [(20.3±9.7) ng/ml vs. (15.9±9.3) ng/ml vs. (14.8±7.4) ng/ml] and serum Ca levels [(2.19±0.15)mmol/L vs. (2.09±0.21)mmol/L vs. (2.00±0.16)mmol/L]. Moreover, the moderate/severe disease group patients had much lower serum Ca levels ( t=2.36, P<0.05), compared with patients with the mild disease group. Compared with the patients with inactive group, both the mild activey group ( t=3.06, P<0.01) and the moderate/severe activie group ( t=2.99, P<0.01) patients had higher serum β-crossl levels [(419±316) pg/ml vs. (543±424) pg/ml vs. (586±343) pg/ml]. Compared with patients with the inactive disease group both patienes with the mild active group and the moderate/severe disease group patients had significantly decreased spine BMD ( t=2.75, P<0.01; t=2.71, P<0.01), Z-score ( t=5.65, P<0.001; t=4.70, P<0.001), T-score ( t=3.02, P<0.01; t=3.37, P<0.001), whereas, no difference was found between the mild disease group and moderate/severe disease group. Compared with the inactive group patients, both the mild active group and moderate/severe disease group patients had lower left femur BMD levels ( t=2.83, P<0.001; t=2.65, P<0.001) and T-score ( t=2.24, P<0.05; t=1.977, P<0.05) and no difference was found between the mild disease group and the moderate/severe disease group. Logistic regression analysis showed that age [ HR (95% CI)=1.080 (1.052, 1.109), P<0.001], BMI [ HR (95% CI)=0.801 (0.704, 0.911), P<0.001], SLEDAI score [ HR (95% CI)=1.047 (1.025, 1.076), P<0.05] and cumulative glucocorticoids dose [1.046 (1.006, 1.087), P<0.05] were associated with osteoporosis of SLE patients. Conclusion:Abnormal bone metabolism and decreased bone density are associated with SLE disease activity in SLE patients, especially in those with advanced age, low BMI and receiving high cumulative dose of glucocorticoids. Osteoporosis should be proactively prevented in the SLE patients.

AIM: To investigate the clinical features of acute exacerbation chronic obstructive pulmonary disease (AECOPD) of complicated with type 2 diabetes mellitus (T2DM), and analyze the related clinical features and risk factors. METHODS: This was a single-center cross-sectional study. From March 2020 to January 2023, 479 hospitalized patients with AECOPD in the department of respiratory and critical care medicine, Suining Central Hospital were included. There were 215 patients in AECOPD group and 60 patients in AECOPD with T2DM group. The collected variables included demographic data, complications, blood routine, infection index, random blood glucose, blood gas analysis and lung function. The adoption rate and constituent ratio of the basic description classification data were expressed as mean standard deviation for the normal distribution measurement data and median interquartile range for the skew distribution measurement data. T-test was used for normal distribution and non - parameter test was used for non-normal distribution. The categorical variables were tested by chi-square test. Rank sum test was used for rank variable data. Binary logistic regression model was used to investigate the independent factors associated with T2DM in patients with AECOPD. Finally, the results of logistic regression were verified and visualized by nomogram, validation curve, ROC curve and DCA curve. P<0.05 was a significant statistical difference. RESULTS: Univariate analysis showed that there were significant differences in body mass index (BMI), essential hypertension, coronary heart disease, atrial fibrillation (AF), pulmonary function (GOLD stage), blood neutrophil (NS), blood lymphocyte (LYM), arterial blood gas PaCO2, Alanine transaminase (ALT) and random blood glucose (RBG) between the two groups (P<0.05). The binary logistic regression model (C-index=0.847) was constructed with the above 10 variables, the results showed that BMI (OR=1.309), Af (OR= 8.188), LYM counts (OR=0.474), PaCO2 (OR=1.082) and RBG (OR=1.434) were independently associated with type 2 diabetes in patients with AECOPD (all P>0.05). The results of logistic regression were verified and visualized by Nomogram and its-associated ccurves. The MAE and AUC curves were 0.021 and 0.847 respectively, indicating that the model had good prediction consistency and accuracy. The DCA curve showed that Nomogram's risk threshold ranged from 0.01 to 0.99, suggesting that nomogram's model had better clinical predictive value. CONCLUSION: Our results showed that increased BMI, PaCO2 and random glucose, decreased blood lymphocyte, and atrial fibrillation is an independent clinical feature of AECOPD with T2DM. These results suggest that the immune function of patients with AECOPD and T2DM are more severely impaired and more likely to be accompanied by atrial fibrillation, which is a potential cause of poor prognosis in these patients. Meanwhile, this conclusion needs to be further verified in multicenter study with large sample size.

AIM:To investigate the clinical fea-tures of acute exacerbation chronic obstructive pul-monary disease(AECOPD)of complicated with type 2 diabetes mellitus(T2DM),and analyze the relat-ed clinical features and risk factors.METHODS:This was a single-center cross-sectional study.From March 2020 to January 2023,479 hospitalized pa-tients with AECOPD in the department of respirato-ry and critical care medicine,Suining Central Hospi-tal were included.There were 215 patients in AE-COPD group and 60 patients in AECOPD with T2DM group.The collected variables included demograph-ic data,complications,blood routine,infection in-dex,random blood glucose,blood gas analysis and lung function.The adoption rate and constituent ra-tio of the basic description classification data were expressed as mean standard deviation for the nor-mal distribution measurement data and median in-terquartile range for the skew distribution measure-ment data.T-test was used for normal distribution and non-parameter test was used for non-normal distribution.The categorical variables were tested by chi-square test.Rank sum test was used for rank variable data.Binary logistic regression model was used to investigate the independent factors associ-ated with T2DM in patients with AECOPD.Finally,the results of logistic regression were verified and visualized by nomogram,validation curve,ROC curve and DCA curve.P＜0.05 was a significant sta-tistical difference.RESULTS:Univariate analysis showed that there were significant differences in body mass index(BMI),essential hypertension,cor-onary heart disease,atrial fibrillation(AF),pulmo-nary function(GOLD stage),blood neutrophil(NS),blood lymphocyte(LYM),arterial blood gas PaCO2,Alanine transaminase(ALT)and random blood glu-cose(RBG)between the two groups(P＜0.05).The binary logistic regression model(C-index=0.847)was constructed with the above 10 variables,the results showed that BMI(OR=1.309),Af(OR=8.188),LYM counts(OR=0.474),PaCO2(OR=1.082)and RBG(OR=1.434)were independently associat-ed with type 2 diabetes in patients with AECOPD(all P＞0.05).The results of logistic regression were verified and visualized by Nomogram and its-associ-ated ccurves.The MAE and AUC curves were 0.021 and 0.847 respectively,indicating that the model had good prediction consistency and accuracy.The DCA curve showed that Nomogram's risk threshold ranged from 0.01 to 0.99,suggesting that nomo-gram's model had better clinical predictive value.CONCLUSION:Our results showed that increased BMI,PaCO2 and random glucose,decreased blood lymphocyte,and atrial fibrillation is an indepen-dent clinical feature of AECOPD with T2DM.These results suggest that the immune function of pa-tients with AECOPD and T2DM are more severely impaired and more likely to be accompanied by atrial fibrillation,which is a potential cause of poor prognosis in these patients.Meanwhile,this conclu-sion needs to be further verified in multicenter study with large sample size.

AIM:To investigate the clinical fea-tures of acute exacerbation chronic obstructive pul-monary disease(AECOPD)of complicated with type 2 diabetes mellitus(T2DM),and analyze the relat-ed clinical features and risk factors.METHODS:This was a single-center cross-sectional study.From March 2020 to January 2023,479 hospitalized pa-tients with AECOPD in the department of respirato-ry and critical care medicine,Suining Central Hospi-tal were included.There were 215 patients in AE-COPD group and 60 patients in AECOPD with T2DM group.The collected variables included demograph-ic data,complications,blood routine,infection in-dex,random blood glucose,blood gas analysis and lung function.The adoption rate and constituent ra-tio of the basic description classification data were expressed as mean standard deviation for the nor-mal distribution measurement data and median in-terquartile range for the skew distribution measure-ment data.T-test was used for normal distribution and non-parameter test was used for non-normal distribution.The categorical variables were tested by chi-square test.Rank sum test was used for rank variable data.Binary logistic regression model was used to investigate the independent factors associ-ated with T2DM in patients with AECOPD.Finally,the results of logistic regression were verified and visualized by nomogram,validation curve,ROC curve and DCA curve.P＜0.05 was a significant sta-tistical difference.RESULTS:Univariate analysis showed that there were significant differences in body mass index(BMI),essential hypertension,cor-onary heart disease,atrial fibrillation(AF),pulmo-nary function(GOLD stage),blood neutrophil(NS),blood lymphocyte(LYM),arterial blood gas PaCO2,Alanine transaminase(ALT)and random blood glu-cose(RBG)between the two groups(P＜0.05).The binary logistic regression model(C-index=0.847)was constructed with the above 10 variables,the results showed that BMI(OR=1.309),Af(OR=8.188),LYM counts(OR=0.474),PaCO2(OR=1.082)and RBG(OR=1.434)were independently associat-ed with type 2 diabetes in patients with AECOPD(all P＞0.05).The results of logistic regression were verified and visualized by Nomogram and its-associ-ated ccurves.The MAE and AUC curves were 0.021 and 0.847 respectively,indicating that the model had good prediction consistency and accuracy.The DCA curve showed that Nomogram's risk threshold ranged from 0.01 to 0.99,suggesting that nomo-gram's model had better clinical predictive value.CONCLUSION:Our results showed that increased BMI,PaCO2 and random glucose,decreased blood lymphocyte,and atrial fibrillation is an indepen-dent clinical feature of AECOPD with T2DM.These results suggest that the immune function of pa-tients with AECOPD and T2DM are more severely impaired and more likely to be accompanied by atrial fibrillation,which is a potential cause of poor prognosis in these patients.Meanwhile,this conclu-sion needs to be further verified in multicenter study with large sample size.

AIM:To investigate the clinical fea-tures of acute exacerbation chronic obstructive pul-monary disease(AECOPD)of complicated with type 2 diabetes mellitus(T2DM),and analyze the relat-ed clinical features and risk factors.METHODS:This was a single-center cross-sectional study.From March 2020 to January 2023,479 hospitalized pa-tients with AECOPD in the department of respirato-ry and critical care medicine,Suining Central Hospi-tal were included.There were 215 patients in AE-COPD group and 60 patients in AECOPD with T2DM group.The collected variables included demograph-ic data,complications,blood routine,infection in-dex,random blood glucose,blood gas analysis and lung function.The adoption rate and constituent ra-tio of the basic description classification data were expressed as mean standard deviation for the nor-mal distribution measurement data and median in-terquartile range for the skew distribution measure-ment data.T-test was used for normal distribution and non-parameter test was used for non-normal distribution.The categorical variables were tested by chi-square test.Rank sum test was used for rank variable data.Binary logistic regression model was used to investigate the independent factors associ-ated with T2DM in patients with AECOPD.Finally,the results of logistic regression were verified and visualized by nomogram,validation curve,ROC curve and DCA curve.P＜0.05 was a significant sta-tistical difference.RESULTS:Univariate analysis showed that there were significant differences in body mass index(BMI),essential hypertension,cor-onary heart disease,atrial fibrillation(AF),pulmo-nary function(GOLD stage),blood neutrophil(NS),blood lymphocyte(LYM),arterial blood gas PaCO2,Alanine transaminase(ALT)and random blood glu-cose(RBG)between the two groups(P＜0.05).The binary logistic regression model(C-index=0.847)was constructed with the above 10 variables,the results showed that BMI(OR=1.309),Af(OR=8.188),LYM counts(OR=0.474),PaCO2(OR=1.082)and RBG(OR=1.434)were independently associat-ed with type 2 diabetes in patients with AECOPD(all P＞0.05).The results of logistic regression were verified and visualized by Nomogram and its-associ-ated ccurves.The MAE and AUC curves were 0.021 and 0.847 respectively,indicating that the model had good prediction consistency and accuracy.The DCA curve showed that Nomogram's risk threshold ranged from 0.01 to 0.99,suggesting that nomo-gram's model had better clinical predictive value.CONCLUSION:Our results showed that increased BMI,PaCO2 and random glucose,decreased blood lymphocyte,and atrial fibrillation is an indepen-dent clinical feature of AECOPD with T2DM.These results suggest that the immune function of pa-tients with AECOPD and T2DM are more severely impaired and more likely to be accompanied by atrial fibrillation,which is a potential cause of poor prognosis in these patients.Meanwhile,this conclu-sion needs to be further verified in multicenter study with large sample size.

AIM:To investigate the clinical fea-tures of acute exacerbation chronic obstructive pul-monary disease(AECOPD)of complicated with type 2 diabetes mellitus(T2DM),and analyze the relat-ed clinical features and risk factors.METHODS:This was a single-center cross-sectional study.From March 2020 to January 2023,479 hospitalized pa-tients with AECOPD in the department of respirato-ry and critical care medicine,Suining Central Hospi-tal were included.There were 215 patients in AE-COPD group and 60 patients in AECOPD with T2DM group.The collected variables included demograph-ic data,complications,blood routine,infection in-dex,random blood glucose,blood gas analysis and lung function.The adoption rate and constituent ra-tio of the basic description classification data were expressed as mean standard deviation for the nor-mal distribution measurement data and median in-terquartile range for the skew distribution measure-ment data.T-test was used for normal distribution and non-parameter test was used for non-normal distribution.The categorical variables were tested by chi-square test.Rank sum test was used for rank variable data.Binary logistic regression model was used to investigate the independent factors associ-ated with T2DM in patients with AECOPD.Finally,the results of logistic regression were verified and visualized by nomogram,validation curve,ROC curve and DCA curve.P＜0.05 was a significant sta-tistical difference.RESULTS:Univariate analysis showed that there were significant differences in body mass index(BMI),essential hypertension,cor-onary heart disease,atrial fibrillation(AF),pulmo-nary function(GOLD stage),blood neutrophil(NS),blood lymphocyte(LYM),arterial blood gas PaCO2,Alanine transaminase(ALT)and random blood glu-cose(RBG)between the two groups(P＜0.05).The binary logistic regression model(C-index=0.847)was constructed with the above 10 variables,the results showed that BMI(OR=1.309),Af(OR=8.188),LYM counts(OR=0.474),PaCO2(OR=1.082)and RBG(OR=1.434)were independently associat-ed with type 2 diabetes in patients with AECOPD(all P＞0.05).The results of logistic regression were verified and visualized by Nomogram and its-associ-ated ccurves.The MAE and AUC curves were 0.021 and 0.847 respectively,indicating that the model had good prediction consistency and accuracy.The DCA curve showed that Nomogram's risk threshold ranged from 0.01 to 0.99,suggesting that nomo-gram's model had better clinical predictive value.CONCLUSION:Our results showed that increased BMI,PaCO2 and random glucose,decreased blood lymphocyte,and atrial fibrillation is an indepen-dent clinical feature of AECOPD with T2DM.These results suggest that the immune function of pa-tients with AECOPD and T2DM are more severely impaired and more likely to be accompanied by atrial fibrillation,which is a potential cause of poor prognosis in these patients.Meanwhile,this conclu-sion needs to be further verified in multicenter study with large sample size.

AIM:To investigate the clinical fea-tures of acute exacerbation chronic obstructive pul-monary disease(AECOPD)of complicated with type 2 diabetes mellitus(T2DM),and analyze the relat-ed clinical features and risk factors.METHODS:This was a single-center cross-sectional study.From March 2020 to January 2023,479 hospitalized pa-tients with AECOPD in the department of respirato-ry and critical care medicine,Suining Central Hospi-tal were included.There were 215 patients in AE-COPD group and 60 patients in AECOPD with T2DM group.The collected variables included demograph-ic data,complications,blood routine,infection in-dex,random blood glucose,blood gas analysis and lung function.The adoption rate and constituent ra-tio of the basic description classification data were expressed as mean standard deviation for the nor-mal distribution measurement data and median in-terquartile range for the skew distribution measure-ment data.T-test was used for normal distribution and non-parameter test was used for non-normal distribution.The categorical variables were tested by chi-square test.Rank sum test was used for rank variable data.Binary logistic regression model was used to investigate the independent factors associ-ated with T2DM in patients with AECOPD.Finally,the results of logistic regression were verified and visualized by nomogram,validation curve,ROC curve and DCA curve.P＜0.05 was a significant sta-tistical difference.RESULTS:Univariate analysis showed that there were significant differences in body mass index(BMI),essential hypertension,cor-onary heart disease,atrial fibrillation(AF),pulmo-nary function(GOLD stage),blood neutrophil(NS),blood lymphocyte(LYM),arterial blood gas PaCO2,Alanine transaminase(ALT)and random blood glu-cose(RBG)between the two groups(P＜0.05).The binary logistic regression model(C-index=0.847)was constructed with the above 10 variables,the results showed that BMI(OR=1.309),Af(OR=8.188),LYM counts(OR=0.474),PaCO2(OR=1.082)and RBG(OR=1.434)were independently associat-ed with type 2 diabetes in patients with AECOPD(all P＞0.05).The results of logistic regression were verified and visualized by Nomogram and its-associ-ated ccurves.The MAE and AUC curves were 0.021 and 0.847 respectively,indicating that the model had good prediction consistency and accuracy.The DCA curve showed that Nomogram's risk threshold ranged from 0.01 to 0.99,suggesting that nomo-gram's model had better clinical predictive value.CONCLUSION:Our results showed that increased BMI,PaCO2 and random glucose,decreased blood lymphocyte,and atrial fibrillation is an indepen-dent clinical feature of AECOPD with T2DM.These results suggest that the immune function of pa-tients with AECOPD and T2DM are more severely impaired and more likely to be accompanied by atrial fibrillation,which is a potential cause of poor prognosis in these patients.Meanwhile,this conclu-sion needs to be further verified in multicenter study with large sample size.

AIM:To investigate the clinical fea-tures of acute exacerbation chronic obstructive pul-monary disease(AECOPD)of complicated with type 2 diabetes mellitus(T2DM),and analyze the relat-ed clinical features and risk factors.METHODS:This was a single-center cross-sectional study.From March 2020 to January 2023,479 hospitalized pa-tients with AECOPD in the department of respirato-ry and critical care medicine,Suining Central Hospi-tal were included.There were 215 patients in AE-COPD group and 60 patients in AECOPD with T2DM group.The collected variables included demograph-ic data,complications,blood routine,infection in-dex,random blood glucose,blood gas analysis and lung function.The adoption rate and constituent ra-tio of the basic description classification data were expressed as mean standard deviation for the nor-mal distribution measurement data and median in-terquartile range for the skew distribution measure-ment data.T-test was used for normal distribution and non-parameter test was used for non-normal distribution.The categorical variables were tested by chi-square test.Rank sum test was used for rank variable data.Binary logistic regression model was used to investigate the independent factors associ-ated with T2DM in patients with AECOPD.Finally,the results of logistic regression were verified and visualized by nomogram,validation curve,ROC curve and DCA curve.P＜0.05 was a significant sta-tistical difference.RESULTS:Univariate analysis showed that there were significant differences in body mass index(BMI),essential hypertension,cor-onary heart disease,atrial fibrillation(AF),pulmo-nary function(GOLD stage),blood neutrophil(NS),blood lymphocyte(LYM),arterial blood gas PaCO2,Alanine transaminase(ALT)and random blood glu-cose(RBG)between the two groups(P＜0.05).The binary logistic regression model(C-index=0.847)was constructed with the above 10 variables,the results showed that BMI(OR=1.309),Af(OR=8.188),LYM counts(OR=0.474),PaCO2(OR=1.082)and RBG(OR=1.434)were independently associat-ed with type 2 diabetes in patients with AECOPD(all P＞0.05).The results of logistic regression were verified and visualized by Nomogram and its-associ-ated ccurves.The MAE and AUC curves were 0.021 and 0.847 respectively,indicating that the model had good prediction consistency and accuracy.The DCA curve showed that Nomogram's risk threshold ranged from 0.01 to 0.99,suggesting that nomo-gram's model had better clinical predictive value.CONCLUSION:Our results showed that increased BMI,PaCO2 and random glucose,decreased blood lymphocyte,and atrial fibrillation is an indepen-dent clinical feature of AECOPD with T2DM.These results suggest that the immune function of pa-tients with AECOPD and T2DM are more severely impaired and more likely to be accompanied by atrial fibrillation,which is a potential cause of poor prognosis in these patients.Meanwhile,this conclu-sion needs to be further verified in multicenter study with large sample size.

AIM:To investigate the clinical fea-tures of acute exacerbation chronic obstructive pul-monary disease(AECOPD)of complicated with type 2 diabetes mellitus(T2DM),and analyze the relat-ed clinical features and risk factors.METHODS:This was a single-center cross-sectional study.From March 2020 to January 2023,479 hospitalized pa-tients with AECOPD in the department of respirato-ry and critical care medicine,Suining Central Hospi-tal were included.There were 215 patients in AE-COPD group and 60 patients in AECOPD with T2DM group.The collected variables included demograph-ic data,complications,blood routine,infection in-dex,random blood glucose,blood gas analysis and lung function.The adoption rate and constituent ra-tio of the basic description classification data were expressed as mean standard deviation for the nor-mal distribution measurement data and median in-terquartile range for the skew distribution measure-ment data.T-test was used for normal distribution and non-parameter test was used for non-normal distribution.The categorical variables were tested by chi-square test.Rank sum test was used for rank variable data.Binary logistic regression model was used to investigate the independent factors associ-ated with T2DM in patients with AECOPD.Finally,the results of logistic regression were verified and visualized by nomogram,validation curve,ROC curve and DCA curve.P＜0.05 was a significant sta-tistical difference.RESULTS:Univariate analysis showed that there were significant differences in body mass index(BMI),essential hypertension,cor-onary heart disease,atrial fibrillation(AF),pulmo-nary function(GOLD stage),blood neutrophil(NS),blood lymphocyte(LYM),arterial blood gas PaCO2,Alanine transaminase(ALT)and random blood glu-cose(RBG)between the two groups(P＜0.05).The binary logistic regression model(C-index=0.847)was constructed with the above 10 variables,the results showed that BMI(OR=1.309),Af(OR=8.188),LYM counts(OR=0.474),PaCO2(OR=1.082)and RBG(OR=1.434)were independently associat-ed with type 2 diabetes in patients with AECOPD(all P＞0.05).The results of logistic regression were verified and visualized by Nomogram and its-associ-ated ccurves.The MAE and AUC curves were 0.021 and 0.847 respectively,indicating that the model had good prediction consistency and accuracy.The DCA curve showed that Nomogram's risk threshold ranged from 0.01 to 0.99,suggesting that nomo-gram's model had better clinical predictive value.CONCLUSION:Our results showed that increased BMI,PaCO2 and random glucose,decreased blood lymphocyte,and atrial fibrillation is an indepen-dent clinical feature of AECOPD with T2DM.These results suggest that the immune function of pa-tients with AECOPD and T2DM are more severely impaired and more likely to be accompanied by atrial fibrillation,which is a potential cause of poor prognosis in these patients.Meanwhile,this conclu-sion needs to be further verified in multicenter study with large sample size.

AIM:To investigate the clinical fea-tures of acute exacerbation chronic obstructive pul-monary disease(AECOPD)of complicated with type 2 diabetes mellitus(T2DM),and analyze the relat-ed clinical features and risk factors.METHODS:This was a single-center cross-sectional study.From March 2020 to January 2023,479 hospitalized pa-tients with AECOPD in the department of respirato-ry and critical care medicine,Suining Central Hospi-tal were included.There were 215 patients in AE-COPD group and 60 patients in AECOPD with T2DM group.The collected variables included demograph-ic data,complications,blood routine,infection in-dex,random blood glucose,blood gas analysis and lung function.The adoption rate and constituent ra-tio of the basic description classification data were expressed as mean standard deviation for the nor-mal distribution measurement data and median in-terquartile range for the skew distribution measure-ment data.T-test was used for normal distribution and non-parameter test was used for non-normal distribution.The categorical variables were tested by chi-square test.Rank sum test was used for rank variable data.Binary logistic regression model was used to investigate the independent factors associ-ated with T2DM in patients with AECOPD.Finally,the results of logistic regression were verified and visualized by nomogram,validation curve,ROC curve and DCA curve.P＜0.05 was a significant sta-tistical difference.RESULTS:Univariate analysis showed that there were significant differences in body mass index(BMI),essential hypertension,cor-onary heart disease,atrial fibrillation(AF),pulmo-nary function(GOLD stage),blood neutrophil(NS),blood lymphocyte(LYM),arterial blood gas PaCO2,Alanine transaminase(ALT)and random blood glu-cose(RBG)between the two groups(P＜0.05).The binary logistic regression model(C-index=0.847)was constructed with the above 10 variables,the results showed that BMI(OR=1.309),Af(OR=8.188),LYM counts(OR=0.474),PaCO2(OR=1.082)and RBG(OR=1.434)were independently associat-ed with type 2 diabetes in patients with AECOPD(all P＞0.05).The results of logistic regression were verified and visualized by Nomogram and its-associ-ated ccurves.The MAE and AUC curves were 0.021 and 0.847 respectively,indicating that the model had good prediction consistency and accuracy.The DCA curve showed that Nomogram's risk threshold ranged from 0.01 to 0.99,suggesting that nomo-gram's model had better clinical predictive value.CONCLUSION:Our results showed that increased BMI,PaCO2 and random glucose,decreased blood lymphocyte,and atrial fibrillation is an indepen-dent clinical feature of AECOPD with T2DM.These results suggest that the immune function of pa-tients with AECOPD and T2DM are more severely impaired and more likely to be accompanied by atrial fibrillation,which is a potential cause of poor prognosis in these patients.Meanwhile,this conclu-sion needs to be further verified in multicenter study with large sample size.