About: Nested case-control study is a research topic. Over the lifetime, 2592 publications have been published within this topic receiving 87355 citations.
TL;DR: The long-term stability of C-reactive protein values was similar to that of both blood pressure and total serum cholesterol, and recommendations regarding its use in predicting the likelihood of coronary heart disease may need to be reviewed.
Abstract: Background C-reactive protein is an inflammatory marker believed to be of value in the prediction of coronary events. We report data from a large study of C-reactive protein and other circulating inflammatory markers, as well as updated meta-analyses, to evaluate their relevance to the prediction of coronary heart disease. Methods Measurements were made in samples obtained at base line from up to 2459 patients who had a nonfatal myocardial infarction or died of coronary heart disease during the study and from up to 3969 controls without a coronary heart disease event in the Reykjavik prospective study of 18,569 participants. Measurements were made in paired samples obtained an average of 12 years apart from 379 of these participants in order to quantify within-person fluctuations in inflammatory marker levels. Results The long-term stability of C-reactive protein values (within-person correlation coefficient, 0.59; 95 percent confidence interval, 0.52 to 0.66) was similar to that of both blood pressure an...
TL;DR: Under a wide range of circumstances, there are continuous, independent, and modest associations of Lp(a) concentration with risk of CHD and stroke that appear exclusive to vascular outcomes.
Abstract: CONTEXT: Circulating concentration of lipoprotein(a) (Lp[a]), a large glycoprotein attached to a low-density lipoprotein-like particle, may be associated with risk of coronary heart disease (CHD) and stroke. OBJECTIVE: To assess the relationship of Lp(a) concentration with risk of major vascular and nonvascular outcomes. STUDY SELECTION: Long-term prospective studies that recorded Lp(a) concentration and subsequent major vascular morbidity and/or cause-specific mortality published between January 1970 and March 2009 were identified through electronic searches of MEDLINE and other databases, manual searches of reference lists, and discussion with collaborators. DATA EXTRACTION: Individual records were provided for each of 126,634 participants in 36 prospective studies. During 1.3 million person-years of follow-up, 22,076 first-ever fatal or nonfatal vascular disease outcomes or nonvascular deaths were recorded, including 9336 CHD outcomes, 1903 ischemic strokes, 338 hemorrhagic strokes, 751 unclassified strokes, 1091 other vascular deaths, 8114 nonvascular deaths, and 242 deaths of unknown cause. Within-study regression analyses were adjusted for within-person variation and combined using meta-analysis. Analyses excluded participants with known preexisting CHD or stroke at baseline. DATA SYNTHESIS: Lipoprotein(a) concentration was weakly correlated with several conventional vascular risk factors and it was highly consistent within individuals over several years. Associations of Lp(a) with CHD risk were broadly continuous in shape. In the 24 cohort studies, the rates of CHD in the top and bottom thirds of baseline Lp(a) distributions, respectively, were 5.6 (95% confidence interval [CI], 5.4-5.9) per 1000 person-years and 4.4 (95% CI, 4.2-4.6) per 1000 person-years. The risk ratio for CHD, adjusted for age and sex only, was 1.16 (95% CI, 1.11-1.22) per 3.5-fold higher usual Lp(a) concentration (ie, per 1 SD), and it was 1.13 (95% CI, 1.09-1.18) following further adjustment for lipids and other conventional risk factors. The corresponding adjusted risk ratios were 1.10 (95% CI, 1.02-1.18) for ischemic stroke, 1.01 (95% CI, 0.98-1.05) for the aggregate of nonvascular mortality, 1.00 (95% CI, 0.97-1.04) for cancer deaths, and 1.00 (95% CI, 0.95-1.06) for nonvascular deaths other than cancer. CONCLUSION: Under a wide range of circumstances, there are continuous, independent, and modest associations of Lp(a) concentration with risk of CHD and stroke that appear exclusive to vascular outcomes.
TL;DR: There was a significant association between available distribution of C-reactive protein and subsequent coronary heart disease mortality and the association persisted when adjusted for characteristics related to smoking and smoking cessation during the trial and to pulmonary function.
Abstract: The authors measured the relation between C-reactive protein, alpha 1 acid glycoprotein and albumin, an acute phase protein, and subsequent risk of myocardial infarction and coronary heart disease death in a nested case-control study among the Multiple Risk Factor Intervention Trial (MRFIT) participants There were 98 myocardial infarction cases, 148 coronary heart disease deaths, and 491 controls The cases and controls were followed for up to 17 years for deaths and 6-7 years for myocardial infarction cases and controls There was a significant association between available distribution of C-reactive protein and subsequent coronary heart disease mortality For smokers at baseline, the risk of coronary heart disease deaths in quartile 4 of C-reactive protein as compared with quartile 1 was 43 (95% confidence interval 174-108) The association persisted when adjusted for characteristics related to smoking and smoking cessation during the trial and to pulmonary function There was no relation between alpha 1 acid glycoprotein and either myocardial infarction or coronary heart disease death Albumin was inversely related to coronary heart disease death only for deaths that occurred between 7 and 13 years after baseline, consistent with previous MRFIT analyses This is the first prospective study in "healthy but high risk individuals" to document the relation between C-reactive protein and coronary heart disease mortality
TL;DR: Rofecoxib use increases the risk of serious coronary heart disease compared with celecoxib use, and naproxen use does not protect against serious coronaryHeart disease.
TL;DR: In this article, the authors investigated whether mean leucocyte telomere length is a predictor of the development of coronary heart disease and found that individuals in the middle and lowest tertiles of telomeres were more at risk of developing a heart disease event than those in the highest tertile.