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Prevalence of cardiovascular disease in subjects hospitalized due to chronic obstructive pulmonary disease in Beijing from 2000 to 2010 被引量:11
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作者 Hua Cui Dong-Mei Miao +4 位作者 Zhi-Min Wei Jian-Fang Cai Yi Li Ai-Min Liu Fan Li 《Journal of Geriatric Cardiology》 SCIE CAS CSCD 2012年第1期5-10,共6页
Objectives To investigate the overall prevalence of cardiovascular disease (CVD) in subjects hospitalized for chronic obstructive pulmonary disease (COPD),and explore the prevalence of the major CVD complications ... Objectives To investigate the overall prevalence of cardiovascular disease (CVD) in subjects hospitalized for chronic obstructive pulmonary disease (COPD),and explore the prevalence of the major CVD complications and trends in patients with COPD over a 10-year period.Methods Medical records in the PLA General Hospital,Beijing Union Medical College Hospital,and Beijing Hospital from 2000/01/01 to 2010/03/03 were retrospectively reviewed.A total of 4960 patients with COPD were reviewed in the study (3570 males,mean age,72.2 ± 10.5 years; 1390 females,mean age,72.0 ± 10.4 years).Results The prevalence of CVD in COPD patients was 51.7%.The three most prevalent CVDs were ischemic heart disease (28.9%),heart failure (19.6%),and arrhythmia (12.6%).During the 10-year study period,the prevalence of various CVDs in COPD patients showed a gradual increasing trend with increasing age.There was higher morbidity due to ischemic heart disease (P < 0.01) in male COPD patients than in the female counterparts.However,heart failure (P < 0.01)and hypertension (P < 0.01) occurred less frequently in male COPD patients than in female COPD patients.Furthermore,the prevalence of ischemic heart disease decreased year by year.In addition to heart failure,various types of CVD complications in COPD patients tended to occur in younger subjects.The prevalence of all major types of CVD in women tended to increase year by year.Conclusions The prevalence of CVD in patients hospitalized for COPD in Beijing was high.Age,sex and CVD trends,as well as life style changes,should be considered when prevention and control strategies are formulated. 展开更多
关键词 PREVALENCE Cross-sectional investigation Chronic obstructive pulmonary disease Cardiovascular disease
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Establishing a predictive model for aspirin resistance in elderly Chinese patients with chronic cardiovascular disease 被引量:7
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作者 Jian CAO Wei-Jun HAO +6 位作者 Ling-Gen GAO Tian-Meng CHEN Lin LIU Yu-Fa SUN Guo-Liang HU Yi-Xin HU Li FAN 《Journal of Geriatric Cardiology》 SCIE CAS CSCD 2016年第5期458-464,共7页
Background Resistance to anti-platelet therapy is detrimental to patients. Our aim was to establish a predictive model for aspirin resistance to identify high-risk patients and to propose appropriate intervention. Met... Background Resistance to anti-platelet therapy is detrimental to patients. Our aim was to establish a predictive model for aspirin resistance to identify high-risk patients and to propose appropriate intervention. Methods Elderly patients (n = 1130) with stable chronic coronary heart disease who were taking aspirin (75 mg) for 〉 2 months were included. Details of their basic characteristics, laboratory test results, and medications were collected. Logistic regression analysis was performed to establish a predictive model for aspirin resistance. Risk score was finally established according to coefficient B and type of variables in logistic regression. The Hosmer-Lemeshow (HL) test and receiver operating characteristic curves were performed to respectively test the calibration and discrimination of the model. Results Seven risk factors were included in our risk score. They were serum creatinine (〉 110 μmol/L, score of 1); fasting blood glucose (〉 7.0 mmol/L, score of 1); hyperlipidemia (score of 1); number of coronary arteries (2 branches, score of 2; 〉 3 branches, score of 4); body mass index (20-25 kg/m2, score of 2; 〉 25 kg/m2, score of 4); percutaneous coronary intervention (score of 2); and smoking (score of 3). The HL test showed P ≥ 0.05 and area under the receiver operating characteristic curve ≥ 0.70. Conclusions We explored and quantified the risk factors for aspirin resistance. Our predictive model showed good calibration and discriminative power and therefore a good foundation for the further study of patients undergoing anti-platelet therapy. 展开更多
关键词 Aspirin resistance Cardiovascular disease Predictive model Risk score
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