Omics methods predict the prognosis and treatment efficacy of chronic obstructive pulmonary diseaseOACSTPCDMEDLINE
To the Editor:Chronic obstructive pulmonary disease(COPD)is a condition that severely endangers human health.In 2018,Wang et al^([1])reported that there are approximately 100 million patients with COPD in China,with a 13.7%prevalence in people aged over 40 years.The disease severity,frequency of exacerbations,and comorbidities,which are commonly(30–57%)observed in patients with COPD,are the three most crucial elements affecting the economic and societal consequences of COPD.^([2])Hospitalizations for exacerbations are the main contributors to health care expenses.To reduce the clinical and financial burden of COPD,interventions are needed to slow the disease course,avoid exacerbations,and reduce comorbidities,such as approaches for improving the prognosis and treatment efficacy in COPD.
Yan Huang;Juanjuan Xu;Guanzhou Ma;Sufei Wang;Xiaojuan Yan;Yang Jin;Jiafu He;
Department of Respiratory and Critical Care Medicine,Xiangyang Central Hospital,Affiliated Hospital of Hubei University of Arts and Science,Xiangyang,Hubei 441000,ChinaDepartment of Respiratory and Critical Care Medicine,NHC Key Laboratory of Pulmonary Diseases,Union Hospital,Tongji Medical College,Huazhong University of Science and Technology,Wuhan,Hubei 430022,China
临床医学
obstructiveprognosistreatment
《Chinese Medical Journal》 2024 (003)
P.356-358 / 3
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