首页|慢性阻塞性肺疾病急性加重期合并2型糖尿病患者的临床特征和危险因素分析与治疗

慢性阻塞性肺疾病急性加重期合并2型糖尿病患者的临床特征和危险因素分析与治疗

扫码查看
目的:探讨慢性阻塞性肺疾病急性加重期(AECOPD)合并2型糖尿病(T2DM)的临床特点,分析与其相关的临床特征及危险因素。方法:本研究为单中心横断面研究。收集遂宁市中心医院呼吸与危重症医学科2020年3月至2023年1月的住院AECOPD患者479例,经排除标准筛选后,最终纳入患者为275例。其中AECOPD组患者为215例,AECOPD合并T2DM组患者为60例。收集变量包括人口学资料、合并症、血常规、感染指标、随机血糖、血气分析和肺功能等指标。基本描述分类资料采用率及构成比表示,正态分布计量资料采用均数±标准差,偏态分布计量资料采用中位数±四分位数间距表示,符合正态分布的计量资料采用t检验;对于非正态分布计量资料采用非参数检验,分类变量采用卡方检验。等级变量数据采用秩和检验。采用二分类Logistic回归模型探讨AE-COPD患者合并T2DM的独立相关因素。最后,采用nomogram、效验曲线、ROC曲线和DCA曲线对Logistic回归结果进行验证和可视化。设P<0。05为具有统计学差异。结果:单因素分析显示两组患者的体质量指数(BMI)、原发性高血压、冠心病、心房颤动(Af)、肺功能(GOLD stage)、血中性粒细胞(NS)数、血淋巴细胞(LYM)数、动脉血气(PaCO2)、谷丙转氨酶(ALT)和随机血糖值(RBG)有统计学差异(P均<0。05)。采用上述10个变量构建二元Lo-gistic 回归方程(C-index=0。847),结果显示BMI(OR=1。309)、Af(OR=8。188)、LYM 数(OR=0。474)、PaCO2(OR=1。082)和 RBG(OR=1。434)与 AECOPD 患者合并T2DM独立相关(P均<0。05)。Nomogram及相关曲线对Logistic回归结果进行验证和可视化。效应曲线MAE为0。021和ROC曲线AUC为0。847,提示该模型具有良好的预测一致性和准确性。DCA曲线显示nomogram的风险阈值在0。01~0。99时该模型的预测净获益>0,提示有较好的临床预测价值。结论:本研究结果显示增高的BMI、PaCO2和随机血糖,降低的血LYM数,及Af是AECOPD合并T2DM的独立相关的临床特征。该结果提示AECOPD合并T2DM的免疫功能受损更严重,更容易伴发Af,是导致这部分患者预后不良的潜在因素。同时,该结论需要在多中心大样本的研究中进一步验证。
Clinical features,risk factors and treatment of type 2 diabetes melli-tus in patients with acute exacerbation of chronic obstructive pulmo-nary disease
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.

acute exacerbation of chronic ob-structive pulmonary diseasetype 2 diabetes melli-tusrisk factorsbody mass indexatrial fibrillationcorticosteroids

王小川、王汉超、姚宇、李丽、何高燕、李博、朱涛

展开 >

遂宁市中心医院呼吸与危重症医学科,遂宁 629000,四川

遂宁市中心医院基础实验室,遂宁 629000,四川

慢性阻塞性肺疾病急性加重期 2型糖尿病 危险因素 体质量指数 心房颤动 糖皮质激素

重庆市科卫联合医学科研面上项目四川省自然科学基金

2020MSXM11223NSFSC0667

2024

中国临床药理学与治疗学
中国药理学会

中国临床药理学与治疗学

CSTPCD北大核心
影响因子:0.97
ISSN:1009-2501
年,卷(期):2024.29(4)
  • 40