Clinical Characteristics of Overweight Patients With Acute Exacerbation Chronic Obstructive Pulmonary Disease (AECOPD)

被引:0
作者
Gong, Yuxin [1 ]
Du, Fawang [2 ]
Yao, Yu [2 ]
Wang, Hanchao [2 ]
Wang, Xiaochuan [2 ]
Xiong, Wei [3 ]
Wang, Qin [3 ]
He, Gaoyan [2 ]
Chen, Linlin [4 ]
Du, Heng [4 ]
Yang, Juan [5 ]
Bauer, Brent A. [5 ]
Wang, Zhongruo [6 ]
Deng, Huojin [1 ]
Zhu, Tao [2 ]
机构
[1] Southern Med Univ, Zhujiang Hosp, Dept Pulm & Crit Care Med, Guangzhou, Guangdong, Peoples R China
[2] Suining Cent Hosp, Dept Pulm & Crit Care Med, Suining, Sichuan, Peoples R China
[3] Chongqing Med Univ, Affiliated Hosp 2, Dept Pulm & Crit Care Med, Chongqing, Peoples R China
[4] Suining Cent Hosp, Dept Gastroenterol Med, Suining, Sichuan, Peoples R China
[5] Mayo Clin, Div Gen Internal Med, Rochester, MN USA
[6] Univ Calif Davis, Dept Math, Davis, CA USA
基金
中国国家自然科学基金;
关键词
chronic obstructive pulmonary disease (COPD); hypertension; nomogram; overweight; type 2 diabetes (T2DM); RISK-FACTORS; COPD; OBESITY; INFLAMMATION; ASSOCIATION; MODERATE;
D O I
暂无
中图分类号
R56 [呼吸系及胸部疾病];
学科分类号
摘要
Introduction: Low body weight in patients with COPD is associated with a poor prognosis and more comorbidities. However, the impact of increased body weight in patients with COPD remains controversial. The aim of this study was to explore the clinical features of overweight patients with AECOPD. Methods: In this multicenter cross-sectional study, a total of 647 AECOPD patients were recruited. Finally, 269 normal weight and 162 overweight patients were included. Baseline characteristics and clinical and laboratory data were collected. The least absolute shrinkage and selection operator (LASSO) regression was performed to determine potential features, which were substituted into binary logistic regression to reveal overweight-associated clinical features. The nomogram and its associated curves were established to visualize and verify the logistic regression model. Results: Six potential overweight-associated variables were selected by LASSO regression. Subsequently, a binary logistic regression model identified that the rates of type 2 diabetes (T2DM) and hypertension and levels of lymphocytes (LYM)%, and alanine aminotransferase (ALT) were independent variables of overweight in AECOPD patients. The C-index and AUC of the ROC curve of the nomogram were 0.671 and 0.666, respectively. The DCA curve revealed that the nomogram had more clinical benefits if the threshold was at a range of 0.22 similar to 0.78. Conclusions: Collectively, we revealed that T2DM and hypertension were more common, and LYM% and ALT were higher in AECOPD patients with overweight than those with normal weight. The result suggests that AECOPD patients with overweight are at risk for additional comorbidities, potentially leading to worse outcomes.
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页数:11
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