RESUMEN
Objective@#To construct and confirm a predictive model for the risks of cardiovascular diseases (CVD) with metabolic syndrome (MS) and its factors in Xinjiang Kazakh population.@*Methods@#A total of 2 286 Kazakh individuals were followed for 5 years from 2010 to 2012 as baseline survey. They were recruited in Xinyuan county, Yili city, Xinjiang. CVD cases were identified via medical records of the local hospitals in 2013, 2016 and 2017, respectively. Factor analysis was performed on 706 MS patients at baseline, and main factors, age, and sex were extracted from 18 medical examination indexs to construct a predictive model of CVD risk. After excluding the subjects with CVD at baseline and incomplete data, 2007 were used as internal validation, and 219 Kazakhs in Halabra Township were used as external validation. Logistic regression discriminations were used for internal validation and external validation, as well as to calculate the probability of CVD for each participant and receiver operating characteristic curves.@*Results@#The prevalence of MS in Kazakh was 30.88%. Seven main factors were extracted from the Kazakh MS population, namely obesity factor, blood lipid and blood glucose factor, liver function factor, blood lipid factor, renal metabolic factor, blood pressure factor, and liver enzyme factor. The area under the curve (AUC) for predicting CVD in the internal validation was 0.773 (95%CI 0.754-0.792). In the external validation, the AUC for predicting CVD was 0.858 (95%CI 0.805-0.901).@*Conclusions@#The CVD risk prediction model constructed by 7 main factors extracted from Kazakh MS patients has high validation efficiency and can be used for risk assessment of CVD in Xinjiang Kazakh population.
RESUMEN
Objective:To construct and confirm a predictive model for the risks of cardiovascular diseases (CVD) with metabolic syndrome (MS) and its factors in Xinjiang Kazakh population.Methods:A total of 2 286 Kazakh individuals were followed for 5 years from 2010 to 2012 as baseline survey. They were recruited in Xinyuan county, Yili city, Xinjiang. CVD cases were identified via medical records of the local hospitals in 2013, 2016 and 2017, respectively. Factor analysis was performed on 706 MS patients at baseline, and main factors, age, and sex were extracted from 18 medical examination indexs to construct a predictive model of CVD risk. After excluding the subjects with CVD at baseline and incomplete data, 2007 were used as internal validation, and 219 Kazakhs in Halabra Township were used as external validation. Logistic regression discriminations were used for internal validation and external validation, as well as to calculate the probability of CVD for each participant and receiver operating characteristic curves.Results:The prevalence of MS in Kazakh was 30.88%. Seven main factors were extracted from the Kazakh MS population, namely obesity factor, blood lipid and blood glucose factor, liver function factor, blood lipid factor, renal metabolic factor, blood pressure factor, and liver enzyme factor. The area under the curve (AUC) for predicting CVD in the internal validation was 0.773 (95% CI 0.754-0.792). In the external validation, the AUC for predicting CVD was 0.858 (95% CI 0.805-0.901). Conclusions:The CVD risk prediction model constructed by 7 main factors extracted from Kazakh MS patients has high validation efficiency and can be used for risk assessment of CVD in Xinjiang Kazakh population.
RESUMEN
Objective@#To compare metabolic syndrome(MS)with Framingham risk score as predictors of cardiovascular disease(CVD)among Kazakhs population.@*Methods@#The participants were the residents who had been followed up for more than 5 years in representative areas of Kazakhs in Xinjiang. We assigned MS a continuous risk score for predicting the development of CVD based on the weights of MS components. MS and Framingham risk score were compared in terms of their ability in predicting years in representative areas of Kazakhs in Xinjiang. We assigned MS a continuous risk score for predicting the development of CVD based on the weights of MS components. MS and Framingham risk score were compared in terms of their ability in predicting development of CVD using Cox regression and receiver operating characteristic curve.@*Results@#The incidence of CVD was 13.87%. The incidence of CVD was higher in the MS group than it in the non-MS group(21.59% vs 11.10%, P<0.001). The area under the receiver operating characteristic(ROC)curve of MS risk score was significantly larger than that of MS classification(0.727 vs 0.585, P<0.001); the area under the curve of MS risk score was close to that of Framingham risk score(0.732 vs 0.727, P=0.673). The association between CVD and each quintile of MS risk score was more significant than that between Framingham risk score and CVD under the same exposed condition(4.61, 9.33, 14.15, 22.29 vs 3.69, 6.36, 8.47, 16.99).@*Conclusion@#MS risk score that included age may be a better predictor of CVD among Kazakhs population.
RESUMEN
Objective To compare metabolic syndrome(MS)with Framingham risk score as predictors of cardiovascular disease( CVD) among Kazakhs. Methods The participants were the residents who had been followed up for more than 5 years in representative areas of Kazakhs in Xinjiang. We assigned MS a continuous risk score for predicting the development of CVD based on the weights of MS components. MS and Framingham risk score were compared in terms of their ability in predicting years in representative areas of Kazakhs in Xinjiang. We assigned MS a continuous risk score for predicting the development of CVD based on the weights of MS components. MS and Framingham risk score were compared in terms of their ability in predicting development of CVD using Cox regression and receiver operating characteristic curve. Results The incidence of CVD was 13.87％. The incidence of CVD was higher in the MS group than it in the non-MS group(21.59％ vs 11.10％, P<0.001). The area under the receiver operating characteristic(ROC)curve of MS risk score was significantly larger than that of MS classification(0.727 vs 0.585, P<0.001);the area under the curve of MS risk score was close to that of Framingham risk score ( 0. 732 vs 0.727, P=0.673). The association between CVD and each quintile of MS risk score was more significant than that between Framingham risk score and CVD under the same exposed condition(4.61、9.33、14.15、22.29对3.69、6.36、8.47、16.99) . Conclusion MS risk score that included age may be a better predictor of CVD among Kazakhs.
RESUMEN
Objective To investigate the prevalence of metabolic syndrome and appropriate cut-off point of waist circumference of abdominal obesity for components of metabolic syndrome in Uygur population in Xinjiang. Methods A questionnaire-based survey, physical examination, and blood testing were conducted according to cluster random sampling in Uygur residents above 18 years old in Xinjiang.There were 3 542 samples collected,based on the International Diabetes Federation(IDF)standard of metabolic syndrome, the relativities of clustering of metabolic syndrome components and different strata of waist circumference for Uygur were analyzed,and looking for the appropriate cut-off points for identifying two or more components of metabolic syndrome within the shortest distance of receiver operating characteristic(ROC)curve.Results According to IDF standard,the waist circumference(85 cm for men,82 cm for women)corresponded to the shortest distance in ROC curve,at these cut-offs of abdominal obesity for component of metabolic syndrome,the prevalences of metabolic syndrome were 21.3%,19.5%in men, while 23.0%in women,the prevalence of women was higher than that of men(P<0.05).The prevalences of≥1,≥2 components of metabolic syndrome were shown an increasing trend with the increasing size of waist circumference, and the odds ratio of clustering of metabolic syndrome components were also increased significantly.Conclusion The prevalence of metabolic syndrome among Xinjiang Uygur population was higher than that of national level.The cut-off points of waist circumference(85 cm for men,82 cm for women)combining other components definition of IDF standard were recommended for identifying metabolic syndrome of Uygurs.
RESUMEN
Objective To discuss the clinical features of pregnant women with hypertrophic cardiomyopathy (HCM).Methods There were 28 patients with HCM who delivered in Renji hospital of Shanghai Jiaotong University from January 2000 to August 2012.Clinical data were analyzed,including diagnosis,cardiac functional grading,gestational weeks of delivery,delivery mode,birth weight,Apgar scores,etc.Results (1) Of all the 28 patients,14 (50％) were diaguosed before pregnancy and others (50％) were diagnosed during pregnancy.(2) Four cases were obstructive HCM (14％),3 with cardiac function grade Ⅰ and 1 with grade Ⅱ.Twenty four cases were non-obstructive HCM (86％),14 with cardiac function grade Ⅰ,9 with grade Ⅱ and 1 with grade Ⅳ.(3) Of all the 28 patients,4 had family history,18 (64％) had clinical symptoms or signs which occurred in 8-32 gestational weeks.Twenty-three cases had abnormal ECG (82％).Among them 21 had non-obstructive HCM (88％),with average interventricular septal thickness of(22 ± 3) mm.The other 2 patients had obstructive HCM,with average interventricular septal thickness of (23 ± 4) mm.7 patients (7/28,25 ％) had mild-to-moderate pulmonary hypertension [6 with non-obstructive HCM (6/24,25％)],and 10 patients had abnormal myocardial enzyme spectrum or troponin levels [9 with non-obstructive HCM (9/24,38％)].(4) Among all the patients,only one had vaginal delivery and others received cesarean section.Twenty-two patients had term pregnancies and 6 had preterm birth.The average gestational weeks of delivery in non-obstructive HCM and obstructive HCM were (36.5 ± 2.5) and (38.5 ± 0.4) weeks,respectively.The average birth weight of neonates were (2684 ± 563) and (3164 ± 321) g,and Apgar scores were 9.9 and 10 (10 minutes) respectively.Patients transferred to NICU after delivery were 8 and 0.There was 1 maternal death(with nonobstructive HCM whose ejection fraction was only 26％) and no perinatal death.Conclusions More attention should be paid to the clinical signs and abnormal ECG.HCM could be definitely diagnosed by timely echocardiography.Patients with hypertrophic cardiomyopathy were mainly non-obstructive HCM,with cardiac function grade Ⅰ and Ⅱ.Monitoring the change of ejection fraction during pregnancy would help.Perinatal outcomes were fine.