Yun-Jiu Cheng1,2, Zhen-Guang Chen3, Zhu-Yu Li4, Wei-Yi Mei5,6, Wen-Tao Bi7,8, Dong-Ling Luo9. 1. Department of Cardiology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510700, China. chyjiu@mail.sysu.edu.cn. 2. NHC Key Laboratory of Assisted Circulation, Sun Yat-sen University, Guangzhou, China. chyjiu@mail.sysu.edu.cn. 3. Department of Thoracic Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China. 4. Department of Obstetrics and Gynecology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China. 5. Department of Cardiology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510700, China. 6. NHC Key Laboratory of Assisted Circulation, Sun Yat-sen University, Guangzhou, China. 7. Department of Cardiology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510700, China. biwt3@mail2.sysu.edu.cn. 8. NHC Key Laboratory of Assisted Circulation, Sun Yat-sen University, Guangzhou, China. biwt3@mail2.sysu.edu.cn. 9. Department of Cardiology, The Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518033, China. luodling5@mail2.sysu.edu.cn.
Abstract
BACKGROUND: Lung function is constantly changing over the life course. Although the relation of cross-sectional lung function measure and adverse outcomes has been reported, data on longitudinal change and subsequent cardiovascular (CV) events risks are scarce. Therefore, this study is to determine the association of longitudinal change in lung function and subsequent cardiovascular risks. METHODS: This study analyzed the data from four prospective cohorts. Subjects with at least two lung function tests were included. We calculated the rate of forced respiratory volume in 1 s (FEV1) and forced vital capacity (FVC) decline for each subject and categorized them into quartiles. The primary outcome was CV events, defined as a composite of coronary heart disease (CHD), chronic heart failure (CHF), stroke, and any CV death. Cox proportional hazards regression and restricted cubic spline models were applied. RESULTS: The final sample comprised 12,899 participants (mean age 48.58 years; 43.61% male). Following an average of 14.79 (10.69) years, 3950 CV events occurred. Compared with the highest FEV1 quartile (Q4), the multivariable HRs for the lowest (Q1), 2nd (Q2), and 3rd quartiles (Q3) were 1.33 (95%CI 1.19, 1.49), 1.30 (1.16, 1.46), and 1.07 (0.95, 1.21), respectively. Likewise, compared with the reference quartile (Q4), the group that experienced a faster decline in FVC had higher HRs for CV events (1.06 [95%CI 0.94-1.20] for Q3, 1.15 [1.02-1.30] for Q2, and 1.28 [1.14-1.44] for Q1). The association remained robust across a series of sensitivity analyses and nearly all subgroups but was more evident in subjects < 60 years. CONCLUSIONS: We observed a monotonic increase in risks of CV events with a faster decline in FEV1 and FVC. These findings emphasize the value of periodic evaluation of lung function and open new opportunities for disease prevention.
BACKGROUND: Lung function is constantly changing over the life course. Although the relation of cross-sectional lung function measure and adverse outcomes has been reported, data on longitudinal change and subsequent cardiovascular (CV) events risks are scarce. Therefore, this study is to determine the association of longitudinal change in lung function and subsequent cardiovascular risks. METHODS: This study analyzed the data from four prospective cohorts. Subjects with at least two lung function tests were included. We calculated the rate of forced respiratory volume in 1 s (FEV1) and forced vital capacity (FVC) decline for each subject and categorized them into quartiles. The primary outcome was CV events, defined as a composite of coronary heart disease (CHD), chronic heart failure (CHF), stroke, and any CV death. Cox proportional hazards regression and restricted cubic spline models were applied. RESULTS: The final sample comprised 12,899 participants (mean age 48.58 years; 43.61% male). Following an average of 14.79 (10.69) years, 3950 CV events occurred. Compared with the highest FEV1 quartile (Q4), the multivariable HRs for the lowest (Q1), 2nd (Q2), and 3rd quartiles (Q3) were 1.33 (95%CI 1.19, 1.49), 1.30 (1.16, 1.46), and 1.07 (0.95, 1.21), respectively. Likewise, compared with the reference quartile (Q4), the group that experienced a faster decline in FVC had higher HRs for CV events (1.06 [95%CI 0.94-1.20] for Q3, 1.15 [1.02-1.30] for Q2, and 1.28 [1.14-1.44] for Q1). The association remained robust across a series of sensitivity analyses and nearly all subgroups but was more evident in subjects < 60 years. CONCLUSIONS: We observed a monotonic increase in risks of CV events with a faster decline in FEV1 and FVC. These findings emphasize the value of periodic evaluation of lung function and open new opportunities for disease prevention.
Authors: Vasiliki V Georgiopoulou; Andreas P Kalogeropoulos; Bruce M Psaty; Nicolas Rodondi; Douglas C Bauer; Abida B Butler; Annemarie Koster; Andrew L Smith; Tamara B Harris; Anne B Newman; Stephen B Kritchevsky; Javed Butler Journal: Am J Med Date: 2011-04 Impact factor: 4.965
Authors: Jingjing Li; Sunil K Agarwal; Alvaro Alonso; Saul Blecker; Alanna M Chamberlain; Stephanie J London; Laura R Loehr; Ann Marie McNeill; Charles Poole; Elsayed Z Soliman; Gerardo Heiss Journal: Circulation Date: 2013-12-16 Impact factor: 29.690
Authors: Komal Malik; Susana Diaz-Coto; Maria de la Asunción Villaverde; Pablo Martinez-Camblor; Annie Navarro-Rolon; Francisco Pujalte; Alejandro De la Sierra; Pere Almagro Journal: Int J Chron Obstruct Pulmon Dis Date: 2022-10-14