Journal of Shandong University (Health Sciences) ›› 2017, Vol. 55 ›› Issue (12): 62-65.doi: 10.6040/j.issn.1671-7554.0.2017.447

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Risk prediction model of chronic obstructive pulmonary disease in health management cohort

GU Jianhua1,2, MA Xiaotian1,2, LI Jiqing1,2, XUE Fuzhong1,2, WANG Jialin3,4   

  1. 1. Department of Biostatistics, School of Public Health, Shandong University, Jinan 250012, Shandong, China;
    2. Cheeloo Research Center for Biomedical Big Data, Shandong University, Jinan 250012, Shandong, China;
    3. Department of Science and Education, Shandong Cancer Hospital Affiliated to Shandong University, Jinan 250117, Shandong, China;
    4. Shandong Academy of Medical Sciences, Jinan 250001, Shandong, China
  • Online:2017-12-20 Published:2022-09-27

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Abstract: Objective To establish a risk prediction model of chronic obstructive pulmonary disease(COPD)among health management Chinese population, and to evaluate its effects in order to provide theoretical basis for the prevention and treatment of COPD. Methods The model was established based on “Shandong Multicenter Health Management Longitudinal Cohort of Observation Large Data”. A total of 33 383 people were included. Cox proportional hazards regression model for COPD was established after variable screening of the influencing factors of COPD. The stability of the model was tested with ten-fold cross validation. The discriminatory ability of the model was determined with the area under the receiver operating characteristic curve(AUC). Results Altogether 136 COPD cases were observed over the study, resulting in a cumulative incidence of 118.08/100 000 person-year. The risk factors included age, gender, smoke, albumin, blood pressure and white blood cell count. The estimated AUC for the model was 0.872(95%CI: 0.810-0.930). After internal verification by ten-fold cross validation, the AUC was 0.866(95%CI: 0.809-0.923). Conclusion We have constructed a risk model that can be useful in identifying individuals at high risk of COPD in our cohort.

Key words: Chronic obstructive pulmonary disease, Cohort study, Risk prediction model

CLC Number: 

  • R563.9
[1] 中华医学会呼吸病学分会慢性阻塞性肺疾病学组. 慢性阻塞性肺疾病诊治指南(2007年修订版)[J]. 中华结核和呼吸杂志, 2007, 46(1): 8-17.
[2] Lopez AD, Shibuya K, Rao C, et al. Chronic obstructive pulmonary disease: current burden and future projections[J]. Eur Respir J, 2006, 27(2): 397-412.
[3] Vestbo J, Hurd SS, Agustí AG, et al. Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: GOLD executive summary[J]. Am J Respir Crit Care Med, 2001, 163(5): 1256-1276.
[4] Halbert RJ, Isonaka S, George D, et al. Interpreting COPD prevalence estimates: what is the true burden of disease?[J]. Chest, 2003, 123(123): 1684-1692.
[5] 洪广祥. 中医药治疗慢性阻塞性肺疾病的几点思考[J]. 中华中医药杂志, 2005, 20(1): 16-19.
[6] Zhong N, Wang C, Yao W, et al. Prevalence of chronic obstructive pulmonary disease in China: a large, population-based survey[J]. Am J Respir Crit Care Med, 2007, 176(8): 753-760.
[7] 张宏华. 慢性阻塞性肺病的发病机制[J]. 湘南学院学报(医学版), 2003, 5(1): 50-53.
[8] 程显声, 徐希胜, 张珍祥, 等. 1992~1999年慢性阻塞性肺疾病、肺心病社区人群综合干预结果[J]. 中华结核和呼吸杂志, 2001, 24(10): 579-583. CHENG Xiansheng, XU Xisheng, ZHANG Zhenxiang, et al. Results of community intervention trial for chronic obstructive pulmonary diseases and chronic cor-pulmonale from 1992 to 1999] [J]. Chin J Tuberc Respir Dis, 2001, 24(10): 579-583.
[9] 刘春涛, 冯玉麟. 慢性阻塞性肺疾病全球创议 慢性阻塞性肺疾病诊断、管理和预防袖珍指南(2006年修订版)[J]. 中国呼吸与危重监护杂志, 2007, 6(3):230-237.
[10] Fletcher C, Peto R. The natural history of chronic airflow obstruction[J]. Br Med J, 1977, 1(6077): 1645-1648.
[11] Kohansal R, Martinezcamblor P, Agustí A, et al. The natural history of chronic airflow obstruction revisited: an analysis of the Framingham offspring cohort[J]. Am J Respir Crit Care Med, 2009, 180(1): 3-10.
[12] Buist AS, Mcburnie MA, Vollmer WM, et al. International variation in the prevalence of COPD(the BOLD Study): a population-based prevalence study[J]. Lancet, 2007, 370(9589): 741-750.
[13] Macaulay D, Sun SX, Sorg RA, et al. Development and validation of a claims-based prediction model for COPD severity[J]. Respir Med, 2013, 107(10): 1568-1577.
[14] Nwaru BI, Simpson CR, Sheikh A, et al. External validation of a COPD prediction model using population-based primary care data: a nested case-control study[J]. Sci Rep, 2017, 7: 44702. doi: 10.1038/srep44702.
[15] 周玉民, 刘升明, 吕嘉春, 等. 中国慢性阻塞性肺疾病患病率调查方法的研究设计[J]. 中华流行病学杂志, 2006, 27(9): 814-818. ZHOU Yumin, LIU Shengming, LÜ Jiachun, et al. A study on methodology regarding the prevalence survey of chronic obstructive pulmonary disease in China[J]. Chin J Epidemiol, 2006, 27(9): 814-818.
[16] Smedley BD, Syme SL. Promoting health: intervention strategies from social and behavioral research[J]. Am J Health Promot, 2003, 15(2): 149-166.
[17] 冉丕鑫. 慢性阻塞性肺疾病的患病危险因素及其预防[J]. 中华结核和呼吸杂志, 2007, 30(2): 141-143.
[18] 徐永健, 谢俊刚. 国内外COPD流行病学进展[J]. 继续医学教育, 2007, 21(2): 14-16.
[19] Mannino DM, Buist AS. Global burden of COPD: risk factors, prevalence, and future trends[J]. Lancet, 2007, 370(9589): 765-773.
[20] 白冲. 慢性阻塞性肺疾病的危险因素、流行情况及未来发展趋势[J]. 中国呼吸与危重监护杂志, 2007, 6(6): 403-405.
[21] 孟俊峰. COPD危险因素分析[J]. 临床肺科杂志, 2011, 16(3): 424-426.
[22] 王婧, 高明明. 慢性阻塞性肺疾病对原发性高血压的影响及机制[J]. 山东医药, 2008, 48(46): 111-112.
[23] Han MK, Mclaughlin VV, Criner GJ, et al. Pulmonary diseases and the heart[J]. Circulation, 2007, 116(25): 2992-3005.
[24] Lode H, Allewelt M, Balk S, et al. A prediction model for bacterial etiology in acute exacerbations of COPD[J]. Infection, 2007, 35(3): 143-149.
[25] Fiaccadori E, Coffrini E, Fracchia C, et al. Hypophosphatemia and phosphorus depletion in respiratory and peripheral muscles of patients with respiratory failure due to COPD[J]. Chest, 1994, 105(5): 1392.
[26] Cui J, Zhou Y, Tian J, et al. A discriminant function model as an alternative method to spirometry for COPD screening in primary care settings in China[J]. J Thorac Dis, 2012, 4(6): 594-600.
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