@article{TuetuencueOlmaKunzeetal.2022,
  author    = {T{\"u}t{\"u}nc{\"u}, Serdar and Olma, Manuel and Kunze, Claudia and Dietzel, Joanna and Schurig, Johannes and Fiessler, Cornelia and Malsch, Carolin and Haas, Tobias Eberhard and Dimitrijeski, Boris and Doehner, Wolfram and Hagemann, Georg and Hamilton, Frank and Honermann, Martin and Jungehulsing, Gerhard Jan and Kauert, Andreas and Koennecke, Hans-Christian and Mackert, Bruno-Marcel and Nabavi, Darius and Nolte, Christian H. and Reis, Joschua Mirko and Schmehl, Ingo and Sparenberg, Paul and Stingele, Robert and V{\"o}lzke, Enrico and Waldschmidt, Carolin and Zeise-Wehry, Daniel and Heuschmann, Peter U. and Endress, Matthias and Haeusler, Karl Georg},
  title     = {Off-label-dosing of non-vitamin K-dependent oral antagonists in AF patients before and after stroke: results of the prospective multicenter Berlin Atrial Fibrillation Registry},
  series = {Journal of Neurology},
  volume    = {269},
  journal   = {Journal of Neurology},
  number    = {1},
  issn      = {1432-1459},
  doi       = {10.1007/s00415-021-10866-2},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-266969},
  pages     = {470-480},
  year      = {2022},
  abstract  = {Aims We aimed to analyze prevalence and predictors of NOAC off-label under-dosing in AF patients before and after the index stroke. Methods The post hoc analysis included 1080 patients of the investigator-initiated, multicenter prospective Berlin Atrial Fibrillation Registry, designed to analyze medical stroke prevention in AF patients after acute ischemic stroke. Results At stroke onset, an off-label daily dose was prescribed in 61 (25.5\%) of 239 NOAC patients with known AF and CHA2DS2-VASc score ≥ 1, of which 52 (21.8\%) patients were under-dosed. Under-dosing was associated with age ≥ 80 years in patients on rivaroxaban [OR 2.90, 95\% CI 1.05-7.9, P = 0.04; n = 29] or apixaban [OR 3.24, 95\% CI 1.04-10.1, P = 0.04; n = 22]. At hospital discharge after the index stroke, NOAC off-label dose on admission was continued in 30 (49.2\%) of 61 patients. Overall, 79 (13.7\%) of 708 patients prescribed a NOAC at hospital discharge received an off-label dose, of whom 75 (10.6\%) patients were under-dosed. Rivaroxaban under-dosing at discharge was associated with age ≥ 80 years [OR 3.49, 95\% CI 1.24-9.84, P = 0.02; n = 19]; apixaban under-dosing with body weight ≤ 60 kg [OR 0.06, 95\% CI 0.01-0.47, P < 0.01; n = 56], CHA2DS2-VASc score [OR per point 1.47, 95\% CI 1.08-2.00, P = 0.01], and HAS-BLED score [OR per point 1.91, 95\% CI 1.28-2.84, P < 0.01]. Conclusion At stroke onset, off-label dosing was present in one out of four, and under-dosing in one out of five NOAC patients. Under-dosing of rivaroxaban or apixaban was related to old age. In-hospital treatment after stroke reduced off-label NOAC dosing, but one out of ten NOAC patients was under-dosed at discharge.},
  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}
}