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      Non-High-Density Lipoprotein Cholesterol on the Risks of Stroke: A Result from the Kailuan Study

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          Abstract

          Aims

          To prospectively explore the association between non-high-density lipoprotein cholesterol (non-HDLC) and the risks of stroke and its subtypes.

          Methods

          A total of 95,916 participants (18-98 years old; 76,354 men and 19,562 women) from a Chinese urban community who were free of myocardial infarction and stroke at baseline time point (2006-2007) were eligible and enrolled in the study. The serum non-HDLC levels of participants were determined by subtracting the high-density lipoprotein cholesterol (HDLC) from total serum cholesterol. The primary outcome was the first occurrence of stroke, which was diagnosed according to the World Health Organization criteria and classified into three subtypes: ischemic stroke, intracerebral hemorrhage, or subarachnoid hemorrhage. The Cox proportional hazards models were used to estimate risk of stroke and its subtypes.

          Results

          During the four-year follow-up, we identified 1614 stroke events (1,156 ischemic, 416 intracerebral hemorrhagic and 42 subarachnoid hemorrhagic). Statistical analyses showed that hazard ratios (HR) (95% Confidence Interval: CI) of serum Non-HDLC level for total and subtypes of stroke were: 1.08 (1.03-1.12) (total), 1.10 (1.05-1.16) (ischemic), 1.03 (0.96-1.10) (intracerebral hemorrhage) and 0.83 (0.66-1.05) (subarachnoid hemorrhage). HR for non-HDLC refers to the increase per each 20 mg/dl. For total and ischemic stroke, the risks were significantly higher in the fourth and fifth quintiles of non-HDLC concentrations compared to the first quintile after adjusting the confounding factors (total stroke: 4 th quintile HR=1.33 (1.12-1.59); 5 th quintile HR = 1.36 (1.15-1.62); ischemic stroke: 4 th quintile HR =1.34 (1.09-1.66); 5 th quintile HR = 1.53 (1.24-1.88)).

          Conclusions

          Our data suggest that serum non-HDLC level is an independent risk factor for total and ischemic stroke, and that higher serum non-HDLC concentrations are associated with increased risks for total stroke and ischemic stroke, but not for intracerebral and subarachnoid hemorrhage.

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          Most cited references25

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          Stroke--1989. Recommendations on stroke prevention, diagnosis, and therapy. Report of the WHO Task Force on Stroke and other Cerebrovascular Disorders.

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            Prevalence of ideal cardiovascular health and its relationship with the 4-year cardiovascular events in a northern Chinese industrial city.

            The American Heart Association Committee recently developed definitions of "ideal," "intermediate," and "poor" cardiovascular health based on 7 cardiovascular disease (CVD) risk factors or health behaviors. This study evaluated the prevalence of "ideal" American Heart Association cardiovascular health metrics from June 2006 to October 2007 in the Kailuan cohort (n=101 510; age 18-98 years) in northern China and its relationship with the 4-year CVD incidence. We used Cox proportional hazards regression to calculate hazard ratios and 95% confidence intervals for baseline health behaviors and risk factor categories. The majority of participants (63,676; 69.45%) presented with ≤3 ideal cardiovascular health metrics, whereas 8342 participants (9.1%) had 5 to 7 ideal metrics. Only 93 of 91,698 participants (0.1%) had all 7 metrics in the ideal range. There was a strong relationship between the cumulative incidence of CVD events in the 4-year follow-up and the number of ideal health metrics at baseline; the 1111 participants with 6 and 7 ideal metrics had a significantly lower cumulative incidence of CVD than subjects with no or only 1 ideal health metric (0.8% versus 3.3%). Men had higher rates of CVD events than women (2.46% versus 1.18%). Few adults had ideal cardiovascular health according to the modified American Heart Association definition. We detected a strong inverse relationship between the cumulative CVD incidence and the number of ideal health metrics at baseline. Population-wide prevention, especially lifestyle improvement, is critical to increase the low-risk prevalence and thereafter decrease CVD events. Clinical Trial Registration- URL: http://www.chictr.org/cn/proj/show.aspx?proj=1441. Unique identifier: ChiCTR-TNC-11001489.
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              Clinical utility of different lipid measures for prediction of coronary heart disease in men and women.

              Evidence is conflicting regarding the performance of apolipoproteins vs traditional lipids for predicting coronary heart disease (CHD) risk. To compare performance of different lipid measures for CHD prediction using discrimination and calibration characteristics and reclassification of risk categories; to assess incremental utility of apolipoproteins over traditional lipids for CHD prediction. Population-based, prospective cohort from, Framingham, Massachusetts. We evaluated serum total cholesterol, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), non-HDL-C, apolipoprotein (apo) A-I and apo B, and 3 lipid ratios (total cholesterol:HDL-C, LDL-C:HDL-C, and apo B:apo A-I) in 3322 middle-aged white participants who attended the fourth offspring examination cycle (1987-1991) and were without cardiovascular disease. Fifty-three percent of the participants were women. Incidence of first CHD event (recognized or unrecognized myocardial infarction, angina pectoris, coronary insufficiency, or coronary heart disease death). After a median follow-up of 15.0 years, 291 participants, 198 of whom were men, developed CHD. In multivariate models adjusting for nonlipid risk factors, the apo B:apo A-I ratio predicted CHD (hazard ratio [HR] per SD increment, 1.39; 95% confidence interval [CI], 1.23-1.58 in men and HR, 1.40; 95% CI, 1.16-1.67 in women), but risk ratios were similar for total cholesterol:HDL-C (HR, 1.39; 95% CI, 1.22-1.58 in men and HR, 1.39; 95% CI, 1.17-1.66 in women) and for LDL-C:HDL-C (HR, 1.35; 95% CI, 1.18-1.54 in men and HR, 1.36; 95% CI 1.14-1.63 in women). In both sexes, models using the apo B:apo A-I ratio demonstrated performance characteristics comparable with but not better than that for other lipid ratios. The apo B:apo A-I ratio did not predict CHD risk in a model containing all components of the Framingham risk score including total cholesterol:HDL-C (P = .12 in men; P = .58 in women). In this large, population-based cohort, the overall performance of apo B:apo A-I ratio for prediction of CHD was comparable with that of traditional lipid ratios but did not offer incremental utility over total cholesterol:HDL-C. These data do not support measurement of apo B or apo A-I in clinical practice when total cholesterol and HDL-C measurements are available.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2013
                10 September 2013
                : 8
                : 9
                : e74634
                Affiliations
                [1 ]Department of Neurology, Beijing TianTan Hospital, Capital Medical University, Beijing, China
                [2 ]Department of Neural Stem Cell Transplantation, The General Hospital of Chinese People's Armed Police Forces, Beijing, China
                [3 ]Channing Laboratory, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
                [4 ]Department of Nutrition, Harvard University School of Public Health, Boston, Massachusetts, United States of America
                [5 ]Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
                [6 ]Department of Cardiology, Kailuan Hospital, Hebei United University, Tangshan, China
                University of Oxford, United Kingdom
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: XQZ JWW SYC SLW. Performed the experiments: YZ. Analyzed the data: AXW. Contributed reagents/materials/analysis tools: QZ CXW. Wrote the manuscript: JWW HTH XG.

                Article
                PONE-D-13-10714
                10.1371/journal.pone.0074634
                3769236
                24058611
                fb2c8bc3-26ce-460c-b257-eda307ec0541
                Copyright @ 2013

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 14 March 2013
                : 3 August 2013
                Funding
                This research was supported by a grant from the National Natural Science Foundation of China (Grant No. 81202279). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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