Application of the China-PAR stroke risk equations in a rural northern Chinese population / 北京大学学报(医学版)

OBJECTIVE@#To validate five-year risk prediction models for stroke in a contemporary rural Northern Chinese population.@*METHODS@#Totally 6 483 rural adults aged 40 to 79 years without cardiovascular diseases were enrolled at baseline between June and August 2010, and followed up through January 2017. Expected prediction risk using the China-PAR (prediction for atherosclerotic cardiovascular disease risk in China) stroke risk equations were compared with the new Framingham stroke risk profile (FSRP). The recalibrated models were applied by adjusting the five-year baseline survival rate and the mean score to our rural northern Chinese population, while keeping other coefficient parameters the same as the original models. Kaplan-Meier analysis was used to obtain the observed event (nonfatal or fatal stroke) rate for the five years, and the expected-observed ratios were calculated to evaluate overestimation or underestimation in the cohort. The models were assessed by discrimination C statistic, calibration χ2, and calibration charts and plots for illustration as well.@*RESULTS@#Over an average of (5.83 ± 1.14) years of the follow-up in this validation cohort with 6 483 rural Chinese participants, 438 subjects deve-loped a first stroke event. Recalibrated China-PAR stroke risk equations and FSRP well-performed for predicting five-year stroke risk in men, and had C statistics of 0.709 (95%CI, 0.675 - 0.743) and 0.721 (95%CI, 0.688 - 0.754), with calibration χ2 values being 5.7 (P = 0.770) and 13.6 (P = 0.137), respectively. However, both China-PAR and FSRP overestimated stroke events by 11.6% and 30.0% in women, and had C statistics of 0.713 (95%CI, 0.684-0.743) and 0.710 (95%CI, 0.679-0.740), respectively. Calibration χ2 values in women were 12.5 (P = 0.188) for China-PAR and 24.0 (P = 0.004) for FSRP. In addition, the calibration charts and plots illustrated good agreement between the observations and the predictions only in the China-PAR stroke risk equations, especially for men.@*CONCLUSION@#In this validation cohort of rural northern Chinese adults, the China-PAR models had better performance of five-year stroke risk prediction than the FSRP, indicating that recalibrated China-PAR stroke risk equations might be appropriate tools for risk assessment and primary prevention of stroke in China.

Effectiveness of different screening strategies for primary prevention of cardiovascular diseases in a rural northern Chinese population / 北京大学学报(医学版)

OBJECTIVE@#To estimate the potential health benefit of screening strategies for cardiovascular diseases primary prevention in a rural northern Chinese population.@*METHODS@#A total of 6 221 adults aged 40-74 years old, from rural Beijing, China and free from cardiovascular diseases at baseline were included. The following screening strategies were compared: Strategy 1, the strategy based on numbers of risk factors recommended by the Chinese Guideline for Prevention of Cardiovascular Diseases in people aged 40-74; Strategy 2, screening people aged 40-74 based on the Prediction for Atherosclerotic Cardiovascular Disease Risk in China (China-PAR) risk prediction model; Strategy 3, screening people aged 50-74 using the China-PAR risk prediction model. Participates who were classified into medium- or high-risk by the corresponding strategies would be introduced to lifestyle intervention, while high risk population would take medication in addition. Markov model was used to compare the potential health benefits within 10 years in each scenario, which applied the parameters from this rural northern Chinese cohort, published literatures, meta-analyses and systematic reviews, clinical trials and other cohort studies of Chinese population. Quality-adjusted life year (QALY) gained, cardiovascular diseases (CVD) events/deaths could be prevented and number needed to be screened (NNS) per QALY gained/per CVD event prevented/per CVD death prevented were calculated to compare the effectiveness. One-way sensitivity analysis concerning uncertainty of cardiovascular disease incidence rate and probabilistic sensitivity analysis about the uncertainty of hazard ratios were conducted.@*RESULTS@#Compared with non-screening strategy, the potential health benefits of each strategy were: Strategy 1 would gain QALY of 498 (95%CI: 103-894) and prevent 298 (95%CI: 155-441) CVD events; Strategy 2 would gain QALY of 691 (95%CI: 233-1 149) and prevent CVD events of 374 (95%CI: 181-567); Strategy 3 would gain QALY of 654 (95%CI: 199-1 108) and prevent CVD events of 346 (95%CI: 154-538). Screening strategy based on ChinaPAR risk prediction model (strategy 2 or 3) would be generally better in terms of QALY gained, CVD events/deaths prevented and NNS than the strategy based on numbers of CVD risk factors (all P<0.05 except NNS per QALY gained and NNS per CVD event prevented in 40-74 years). Similar benefits were obtained for the strategy 2 and 3. The results were consistent in the sensitivity analyses on the parameters of incidence rates and hazard ratios.@*CONCLUSION@#Screening people to target increased risks of cardiovascular diseases in this rural northern Chinese population is necessary. Screening strategy based on China-PAR risk prediction model could gain more health benefits than that based on numbers of CVD risk factors.

Incidence and risk factors of chronic kidney disease in community-based patients with diabetes / 北京大学学报(医学版)

OBJECTIVE@#To estimate the incidence rate and effects of risk factors on chronic kidney disease (CKD) in Chinese patients with diabetes, based on Electronic Health Records (EHRs) from the Chinese Electronic health Records Research in Yinzhou (CHERRY) Study.@*METHODS@#Using the CHERRY cohort study with the individual-level information on chronic disease management; and health administrative, clinical and laboratory databases, patients with diabetes without kidney disease at baseline were enrolled and followed up from January 2009 through December 2016. CKD was defined as the estimated glomerular filtration rate(eGFR) <60 mL/(min×1.73 m2) or urine albumin/creatinine ratio (ACR)≥3 mg/mmol. Standardized incidence rates of CKD in diabetic population were calculated according to the 2010 China census data. Cox proportional hazards models were used to explore the association of risk factors on CKD in patients with diabetes.@*RESULTS@#Over a median 3.2 years of follow-up, 13 829 patients with diabetes were included in this analysis and 1 087 developed CKD. The crude and standardized incidence rate was 23.7(95%CI: 22.3-25.2) and 14.8(95%CI:12.1-17.6) per 1 000 person-years respectively. The incidence rate for developing CKD in patients with diabetes aged over 60 years was higher than those aged 60 and below (26.6 vs. 11.5 per 1 000 person-years, P<0.05). Cox proportional hazards models showed that age over 60 years(HR=1.88, 95%CI: 1.51-2.35), hypertension (HR=1.81, 95%CI: 1.56-2.10), total cholesterol (HR=1.07, 95%CI: 1.00-1.14) and duration of diabetes (HR per year increment=1.02, 95%CI: 1.00-1.03) and the level of high density lipoprotein cholesterol (HDLC, HR=0.49, 95%CI: 0.40-0.61) were significantly associated with CKD. No statistical significance was found for sex, smoking status, alcohol use and average level of fasting glucose (All P>0.05). Subgroup analysis indicated that even when the lipid levels were well-controlled, comorbidity of hypertension was still associated with CKD in the patients with diabetes.@*CONCLUSION@#Incidence rate of chronic kidney disease in this Chinese population with diabetes was high. Age and comorbidity of hypertension were the most important risk factors for CKD, suggesting the priority for CKD screening in patients with diabetes in China. Control of blood pressure and lipid were especially crucial to prevent CKD in patients with diabetes.