@article {585,
	title = {Relationship of plasmin generation to cardiovascular disease risk factors in elderly men and women.},
	journal = {Arterioscler Thromb Vasc Biol},
	volume = {19},
	year = {1999},
	month = {1999 Mar},
	pages = {499-504},
	abstract = {<p>Plasmin-alpha2-antiplasmin complex (PAP) marks plasmin generation and fibrinolytic balance. We recently observed that elevated levels of PAP predict acute myocardial infarction in the elderly, yet little is known about the correlates of PAP. We measured PAP in 800 elderly subjects who were free of clinical cardiovascular disease in 2 cohort studies: the Cardiovascular Health Study and the Honolulu Heart Program. Median PAP levels did not differ between the Cardiovascular Health Study (6.05+/-1.46 nmol/L) and the Honolulu Heart Program (6.11+/-1.44 nmol/L), and correlates of PAP were similar in both cohorts. In CHS, PAP levels increased with age (r=0. 30), procoagulant factors (eg, factor VIIc, r=0.15), thrombin activity (prothrombin fragment F1+2, r=0.29), and inflammation-sensitive proteins (eg, fibrinogen, r=0.44; factor VIIIc, r=0.37). PAP was associated with increased atherosclerosis as measured by the ankle-arm index (AAI) (P for trend, </=0.001). PAP was negatively related to factors associated with the insulin resistance syndrome (IRS) (eg, fasting insulin, r=-0.26; body mass index, r=-0.26), possibly reflecting an association with plasminogen activator inhibitor-1 (r=-0.29). Although our study did not have sufficient power to detect a significant interaction, PAP and AAI appeared to be more weakly associated in subjects with more manifestations of the IRS: PAP appeared more strongly associated with AAI in the subgroup with 0 or 1 metabolic disorders (P</=0.001; slope estimate, -0.14) compared with the subgroup with 2 or more metabolic disorders (P=0.10; slope estimate, -0.08) and in those with non-insulin-dependent diabetes mellitus (P=0.46; slope estimate, -0.04). Although PAP reflects reactive fibrinolysis and is associated with subclinical atherosclerosis, this relationship may be weaker in populations with characteristics of the IRS, possibly reflecting the inhibitory effects of plasminogen activator inhibitor-1 on PAP. Decreased fibrinolysis in the presence of subclinical disease in subjects with hyperinsulinemia or glucose intolerance is consistent with the premise that depressed plasmin generation may enhance the progression of atherosclerosis in these people.</p>},
	keywords = {Aged, Aged, 80 and over, alpha-2-Antiplasmin, Antifibrinolytic Agents, Asian Continental Ancestry Group, Cohort Studies, Coronary Disease, Diabetes Mellitus, Type 2, European Continental Ancestry Group, Female, Fibrinolysin, Fibrinolysis, Humans, Insulin Resistance, Male, Multivariate Analysis, Myocardial Infarction, Plasminogen Activator Inhibitor 1, Risk Factors},
	issn = {1079-5642},
	doi = {10.1161/01.atv.19.3.499},
	author = {Sakkinen, P A and Cushman, M and Psaty, B M and Rodriguez, B and Boineau, R and Kuller, L H and Tracy, R P}
}
@article {1079,
	title = {Systematically missing confounders in individual participant data meta-analysis of observational cohort studies.},
	journal = {Stat Med},
	volume = {28},
	year = {2009},
	month = {2009 Apr 15},
	pages = {1218-37},
	abstract = {<p>One difficulty in performing meta-analyses of observational cohort studies is that the availability of confounders may vary between cohorts, so that some cohorts provide fully adjusted analyses while others only provide partially adjusted analyses. Commonly, analyses of the association between an exposure and disease either are restricted to cohorts with full confounder information, or use all cohorts but do not fully adjust for confounding. We propose using a bivariate random-effects meta-analysis model to use information from all available cohorts while still adjusting for all the potential confounders. Our method uses both the fully adjusted and the partially adjusted estimated effects in the cohorts with full confounder information, together with an estimate of their within-cohort correlation. The method is applied to estimate the association between fibrinogen level and coronary heart disease incidence using data from 154,012 participants in 31 cohorts</p>},
	keywords = {Cohort Studies, Computer Simulation, Coronary Disease, Data Interpretation, Statistical, Female, Fibrinogen, Humans, Male, Meta-Analysis as Topic, Models, Statistical},
	issn = {0277-6715},
	doi = {10.1002/sim.3540},
	author = {Jackson, Dan and White, Ian and Kostis, J B and Wilson, A C and Folsom, A R and Wu, K and Chambless, L and Benderly, M and Goldbourt, U and Willeit, J and Kiechl, S and Yarnell, J W G and Sweetnam, P M and Elwood, P C and Cushman, M and Psaty, B M and Tracy, R P and Tybjaerg-Hansen, A and Haverkate, F and de Maat, M P M and Thompson, S G and Fowkes, F G R and Lee, A J and Smith, F B and Salomaa, V and Harald, K and Rasi, V and Vahtera, E and Jousilahti, P and D{\textquoteright}Agostino, R and Kannel, W B and Wilson, P W F and Tofler, G and Levy, D and Marchioli, R and Valagussa, F and Rosengren, A and Wilhelmsen, L and Lappas, G and Eriksson, H and Cremer, P and Nagel, D and Curb, J D and Rodriguez, B and Yano, K and Salonen, J  T and Nyyss{\"o}nen, K and Tuomainen, T-P and Hedblad, B and Engstrom, G and Berglund, G and Loewel, H and Koenig, W and Hense, H W and Meade, T W and Cooper, J A and De Stavola, B and Knottenbelt, C and Miller, G J and Cooper, J A and Bauer, K A and Rosenberg, R D and Sato, S and Kitamura, A and Naito, Y and Iso, H and Salomaa, V and Harald, K and Rasi, V and Vahtera, E and Jousilahti, P and Palosuo, T and Ducimetiere, P and Amouyel, P and Arveiler, D and Evans, A E and Ferrieres, J and Juhan-Vague, I and Bingham, A and Schulte, H and Assmann, G and Cantin, B and Lamarche, B and Despr{\'e}s, J-P and Dagenais, G R and Tunstall-Pedoe, H and Lowe, G D O and Woodward, M and Ben-Shlomo, Y and Davey Smith, G and Palmieri, V and Yeh, J L and Meade, T W and Rudnicka, A and Brennan, P and Knottenbelt, C and Cooper, J A and Ridker, P and Rodeghiero, F and Tosetto, A and Shepherd, J and Lowe, G D O and Ford, I and Robertson, M and Brunner, E and Shipley, M and Feskens, E J M and Di Angelantonio, E and Kaptoge, S and Lewington, S and Lowe, G D O and Sarwar, N and Thompson, S G and Walker, M and Watson, S and White, I R and Wood, A M and Danesh, J}
}
