@article{ScheitzLimBroersenetal.2021, author = {Scheitz, Jan F. and Lim, Jess and Broersen, Leonie H. A. and Ganeshan, Ramanan and Huo, Shufan and Sperber, Pia S. and Piper, Sophie K. and Heuschmann, Peter U. and Audebert, Heinrich J. and Nolte, Christian H. and Siegerink, Bob and Endres, Matthias and Liman, Thomas G.}, title = {High-Sensitivity Cardiac Troponin T and Recurrent Vascular Events After First Ischemic Stroke}, series = {Journal of the American Heart Association}, volume = {10}, journal = {Journal of the American Heart Association}, number = {10}, doi = {10.1161/JAHA.120.018326}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-239039}, year = {2021}, abstract = {Background Recent evidence suggests cardiac troponin levels to be a marker of increased vascular risk. We aimed to assess whether levels of high-sensitivity cardiac troponin T (hs-cTnT) are associated with recurrent vascular events and death in patients with first-ever, mild to moderate ischemic stroke. Methods and Results We used data from the PROSCIS-B (Prospective Cohort With Incident Stroke Berlin) study. We computed Cox proportional hazards regression analyses to assess the association between hs-cTnT levels upon study entry (Roche Elecsys, upper reference limit, 14 ng/L) and the primary outcome (composite of recurrent stroke, myocardial infarction, and all-cause death). A total of 562 patients were analyzed (mean age, 67 years [SD 13]; 38.6\% women; median National Institutes of Health Stroke Scale=2; hs-cTnT above upper reference limit, 39.2\%). During a mean follow-up of 3 years, the primary outcome occurred in 89 patients (15.8\%), including 40 (7.1\%) recurrent strokes, 4 (0.7\%) myocardial infarctions, and 51 (9.1\%) events of all-cause death. The primary outcome occurred more often in patients with hs-cTnT above the upper reference limit (27.3\% versus 10.2\%; adjusted hazard ratio, 2.0; 95\% CI, 1.3-3.3), with a dose-response relationship when the highest and lowest hs-cTnT quartiles were compared (15.2 versus 1.8 events per 100 person-years; adjusted hazard ratio, 4.8; 95\% CI, 1.9-11.8). This association remained consistent in sensitivity analyses, which included age matching and stratification for sex. Conclusions Hs-cTnT is dose-dependently associated with an increased risk of recurrent vascular events and death within 3 years after first-ever, mild to moderate ischemic stroke. These findings support further studies of the utility of hs-cTnT for individualized risk stratification after stroke.}, language = {en} } @article{RohmannHuoSperberetal.2020, author = {Rohmann, Jessica L. and Huo, Shufan and Sperber, Pia S. and Piper, Sophie K. and Rosendaal, Frits R. and Heuschmann, Peter U. and Endres, Matthias and Liman, Thomas G. and Siegerink, Bob}, title = {Coagulation factor XII, XI, and VIII activity levels and secondary events after first ischemic stroke}, series = {Journal of Thrombosis and Haemostasis}, volume = {18}, journal = {Journal of Thrombosis and Haemostasis}, number = {12}, doi = {10.1111/jth.15092}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-217877}, pages = {3316 -- 3324}, year = {2020}, abstract = {Background Though risk for recurrent vascular events is high following ischemic stroke, little knowledge about risk factors for secondary events post-stroke exists. Objectives Coagulation factors XII, XI, and VIII (FXII, FXI, and FVIII) have been implicated in first thrombotic events, and our aim was to estimate their effects on vascular outcomes within 3 years after first stroke. Patients/Methods In the Prospective Cohort with Incident Stroke Berlin (PROSCIS-B) study, we followed participants aged 18 and older for 3 years after first mild to moderate ischemic stroke event or until occurrence of recurrent stroke, myocardial infarction, or all-cause mortality. We compared high coagulation factor activity levels to normal and low levels and also analyzed activities as continuous variables. We used Cox proportional hazards models adjusted for age, sex, and cardiovascular risk factors to estimate hazard ratios (HRs) for the combined endpoint. Results In total, 94 events occurred in 576 included participants, resulting in an absolute rate of 6.6 events per 100 person-years. After confounding adjustment, high FVIII activity showed the strongest relationship with the combined endpoint (HR = 2.05, 95\% confidence interval [CI] 1.28-3.29). High FXI activity was also associated with a higher hazard (HR = 1.80, 95\% CI 1.09-2.98), though high FXII activity was not (HR = 0.86, 95\% CI 0.49-1.51). Continuous analyses yielded similar results. Conclusions In our study of mild to moderate ischemic stroke patients, high activity levels of FXI and FVIII but not FXII were associated with worse vascular outcomes in the 3-year period after first ischemic stroke.}, language = {en} } @article{MalschLimanWiedmannetal.2018, author = {Malsch, Carolin and Liman, Thomas and Wiedmann, Silke and Siegerink, Bob and Georgakis, Marios K. and Tiedt, Steffen and Endres, Matthias and Heuschmann, Peter U.}, title = {Outcome after stroke attributable to baseline factors—the PROSpective Cohort with Incident Stroke (PROSCIS)}, series = {PLoS ONE}, volume = {13}, journal = {PLoS ONE}, number = {9}, doi = {10.1371/journal.pone.0204285}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-177342}, pages = {e0204285}, year = {2018}, abstract = {Background The impact of risk factors on poor outcome after ischemic stroke is well known, but estimating the amount of poor outcome attributable to single factors is challenging in presence of multimorbidity. We aim to compare population attributable risk estimates obtained from different statistical approaches regarding their consistency. We use a real-life data set from the PROSCIS study to identify predictors for mortality and functional impairment one year after first-ever ischemic stroke and quantify their contribution to poor outcome using population attributable risks. Methods The PROSpective Cohort with Incident Stroke (PROSCIS) is a prospective observational hospital-based cohort study of patients after first-ever stroke conducted independently in Berlin (PROSCIS-B) and Munich (PROSCIS-M). The association of baseline factors with poor outcome one year after stroke in PROSCIS-B was analysed using multiple logistic regression analysis and population attributable risks were calculated, which were estimated using sequential population attributable risk based on a multiple generalized additive regression model, doubly robust estimation, as well as using average sequential population attributable risk. Findings were reproduced in an independent validation sample from PROSCIS-M. Results Out of 507 patients with available outcome information after 12 months in PROSCIS-B, 20.5\% suffered from poor outcome. Factors associated with poor outcome were age, pre-stroke physical disability, stroke severity (NIHSS), education, and diabetes mellitus. The order of risk factors ranked by magnitudes of population attributable risk was almost similar for all methods, but population attributable risk estimates varied markedly between the methods. In PROSCIS-M, incidence of poor outcome and distribution of baseline parameters were comparable. The multiple logistic regression model could be reproduced for all predictors, except pre-stroke physical disability. Similar to PROSCIS-B, the order of risk factors ranked by magnitudes of population attributable risk was almost similar for all methods, but magnitudes of population attributable risk differed markedly between the methods. Conclusions Ranking of risk factors by population impact is not affected by the different statistical approaches. Thus, for a rational decision on which risk factor to target in disease interventions, population attributable risk is a supportive tool. However, population attributable risk estimates are difficult to interpret and are not comparable when they origin from studies applying different methodology. The predictors for poor outcome identified in PROSCIS-B have a relevant impact on mortality and functional impairment one year after first-ever ischemic stroke.}, language = {en} }