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English Intern
Lehrstuhl für klinische Epidemiologie und Biometrie

Dr. Felipe A. Montellano

Dr. med. Felipe A. Montellano

Forscht in Kooperation mit dem Interdisziplinären Zentrum für Klinische Forschung der Universität Würzburg

Forscht im Rahmen des Clinician-Scientist Programms UNION-CVD (DFG)

kurzer Lebenslauf

seit 2020 Assistenzarzt. Neurologische Klinik und Poliklinik, Universitätsklinikum Würzburg
seit 2017   Wissenschaftlicher Mitarbeiter. Institut für klinische Epidemiologie und Biometrie der Universität Würzburg (MD/PhD Fellow des Interdisziplinären Zentrums für Klinische Forschung der Universität Würzburg)
seit 2016 European Master in Stroke Medicine. Donau-Universität Krems. Österreich (Stipendiat der European Stroke Organisation)
2015-2017 Promotion zum Dr. med. Institut für Physiologie und Pathophysiologie. AG Neurovaskuläre Forschung. Medizinische Fakultät der Universität Heidelberg . (Prof. Dr. Hugo Marti)
2014-2015 Assistenzarzt in der Abteilung für Notfallmedizin, Clínica Dávila und Clínica INDISA. Santiago, Chile.
2009 Stipendium der Medizinischen Fakultät der Universidad de los Andes. Santiago, Chile
2007-2013 Studium der Humanmedizin. Medizinische Fakultät der Universidad de los Andes. Santiago, Chile

wissenschaftliche Schwerpunkte

Akuttherapie des Schlaganfalls, neurologische Intensivmedizin, Notfallmedizin.

Hauptpublikationen der letzten Jahre

2024[ to top ]
  • 1.
    Hartung TJ, Bahmer T, Chaplinskaya-Sobol I, Deckert J, Endres M, Franzpötter K, et al. Predictors of non-recovery from fatigue and cognitive deficits after COVID-19: a prospective, longitudinal, population-based study. eClinicalMedicine [Internet]. 2024;69:102456. Available from: https://www.sciencedirect.com/science/article/pii/S258953702400035X
  • 1.
    Vollmuth C, Fiessler C, Montellano FA, Kollikowski AM, Essig F, Oeckl P, et al. Incremental value of serum neurofilament light chain and glial fibrillary acidic protein as blood-based biomarkers for predicting functional outcome in severe acute ischemic stroke. Eur Stroke J. 2024;:23969873241234436.
2023[ to top ]
  • 1.
    Winkelmann S, Korth A, Voss B, Nasr MA, Behrend N, Pudszuhn A, et al. Persisting chemosensory dysfunction in COVID-19 - a cross-sectional population-based survey. Rhinology. 2023;61(1):12-23.
  • 1.
    Horn A, Jírů-Hillmann S, Widmann J, Montellano FA, Salmen J, Pryss R, et al. Systematic review on the effectiveness of mobile health applications on mental health of breast cancer survivors. Journal of Cancer Survivorship [Internet]. 2023;. Available from: https://doi.org/10.1007/s11764-023-01470-6
  • 1.
    Shi Y, Strobl R, Apfelbacher C, Bahmer T, Geisler R, Heuschmann P, et al. Persistent symptoms and risk factors predicting prolonged time to symptom-free after SARS‑CoV‑2 infection: an analysis of the baseline examination of the German COVIDOM/NAPKON-POP cohort. Infection. 2023;:1-16.
2022[ to top ]
  • 1.
    Mishra A, Malik R, Hachiya T, Jürgenson T, Namba S, Posner DC, et al. Stroke genetics informs drug discovery and risk prediction across ancestries. Nature. 2022;611(7934):115-23.
  • 1.
    Mishra A, Malik R, Hachiya T, Jürgenson T, Namba S, Posner DC, et al. Publisher Correction: Stroke genetics informs drug discovery and risk prediction across ancestries. Nature [Internet]. 2022;612(7938):E7-E7. Available from: https://doi.org/10.1038/s41586-022-05492-5
  • 1.
    Hartung TJ, Neumann C, Bahmer T, Chaplinskaya-Sobol I, Endres M, Geritz J, et al. Fatigue and cognitive impairment after COVID-19: A prospective multicentre study. eClinicalMedicine [Internet]. 2022;53:101651. Available from: https://www.sciencedirect.com/science/article/pii/S2589537022003819
  • 1.
    Bahmer T, Borzikowsky C, Lieb W, Horn A, Krist L, Fricke J, et al. Severity, predictors and clinical correlates of Post-COVID syndrome (PCS) in Germany: A prospective, multi-centre, population-based cohort study. EClinicalMedicine. 2022;51:101549.
  • 1.
    Montellano FA, Kluter EJ, Rücker V, Ungethüm K, Mackenrodt D, Wiedmann S, et al. Cardiac dysfunction and high-sensitive C-reactive protein are associated with troponin T elevation in ischemic stroke: insights from the SICFAIL study. BMC Neurology [Internet]. 2022;22(1):511. Available from: https://doi.org/10.1186/s12883-022-03017-1
2021[ to top ]
  • 1.
    Seyhan M, Ungethüm K, Schuhmann MK, Mackenrodt D, Rücker V, Montellano FA, et al. Feasibility of platelet marker analysis in ischemic stroke patients and their association with one-year outcome. A pilot project within a subsample of the Stroke Induced Cardiac Failure in Mice and Men (SICFAIL) cohort study. Platelets [Internet]. 2021;33(5):772-80. Available from: https://doi.org/10.1080/09537104.2021.2002834
  • 1.
    Montellano FA, Ungethüm K, Ramiro L, Nacu A, Hellwig S, Fluri F, et al. Role of Blood-Based Biomarkers in Ischemic Stroke Prognosis: A Systematic Review. Stroke. 2021;52(2):543-51.
  • 1.
    Horn A, Krist L, Lieb W, Montellano FA, Kohls M, Haas K, et al. Long-term health sequelae and quality of life at least 6 months after infection with SARS-CoV-2: design and rationale of the COVIDOM-study as part of the NAPKON population-based cohort platform (POP). Infection. 2021;49(6):1277-8.
  • 1.
    Heuschmann PU, Montellano FA, Ungethüm K, Rücker V, Wiedmann S, Mackenrodt D, et al. Prevalence and determinants of systolic and diastolic cardiac dysfunction and heart failure in acute ischemic stroke patients: The SICFAIL study. ESC Heart Failure [Internet]. 2021;8(2):1117-29. Available from: https://onlinelibrary.wiley.com/doi/abs/10.1002/ehf2.13145