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    Wyświetlanie 1-6 z 6
    Tytuł:
    Optimal cardiometabolic health and risk of heart failure in type 2 diabetes: an analysis from the Look AHEAD trial.
    Autorzy:
    Patel KV; Department of Cardiology, Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas, USA.
    Khan MS; Division of Cardiology, Duke University School of Medicine, Durham, North Carolina, USA.
    Segar MW; Department of Cardiology, Texas Heart Institute, Houston, Texas, USA.
    Bahnson JL; Department of Biostatistical Sciences, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, North Carolina, USA.
    Garcia KR; Department of Biostatistical Sciences, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, North Carolina, USA.
    Clark JM; Division of General Internal Medicine, Department of Medicine, The Johns Hopkins School of Medicine, Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
    Balasubramanyam A; Section of Endocrinology, Diabetes, and Metabolism, Department of Internal Medicine, Baylor College of Medicine, Houston, Texas, USA.
    Bertoni AG; Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
    Vaduganathan M; Division of Cardiovascular Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.
    Farkouh ME; Peter Munk Cardiac Centre and Heart and Stroke Richard Lewar Centre, University of Toronto, Toronto, Ontario, Canada.
    Januzzi JL Jr; Massachusetts General Hospital, Harvard Medical School, Baim Institute for Clinical Research, Boston, Massachusetts, USA.
    Verma S; Division of Cardiac Surgery, St Michael's Hospital, University of Toronto, Toronto, Ontario, Canada.
    Espeland M; Department of Biostatistical Sciences, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, North Carolina, USA.
    Pandey A; Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
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    Źródło:
    European journal of heart failure [Eur J Heart Fail] 2022 Nov; Vol. 24 (11), pp. 2037-2047.
    Typ publikacji:
    Journal Article; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, P.H.S.
    MeSH Terms:
    Heart Failure*/epidemiology
    Diabetes Mellitus, Type 2*/complications
    Diabetes Mellitus, Type 2*/epidemiology
    Humans ; Stroke Volume
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
    Tytuł:
    Development and validation of a model to predict cardiovascular death, nonfatal myocardial infarction, or nonfatal stroke in patients with type 2 diabetes mellitus and established atherosclerotic cardiovascular disease.
    Autorzy:
    Stevens SR; Duke Clinical Research Institute, Duke University School of Medicine, P.O. Box 17969, Durham, NC, 27715, USA. .
    Segar MW; Department of Cardiology, Texas Heart Institute, Houston, TX, USA.
    Pandey A; Division of Cardiology, University of Texas Southwestern Medical Center and Parkland Health and Hospital System, Dallas, TX, USA.
    Lokhnygina Y; Duke Clinical Research Institute, Duke University School of Medicine, P.O. Box 17969, Durham, NC, 27715, USA.
    Green JB; Duke Clinical Research Institute, Duke University School of Medicine, P.O. Box 17969, Durham, NC, 27715, USA.
    McGuire DK; Division of Cardiology, University of Texas Southwestern Medical Center and Parkland Health and Hospital System, Dallas, TX, USA.
    Standl E; Diabetes Research Group e.V. at Munich Helmholtz Center, Munich, Germany.
    Peterson ED; Duke Clinical Research Institute, Duke University School of Medicine, P.O. Box 17969, Durham, NC, 27715, USA.; Division of Cardiology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
    Holman RR; Diabetes Trials Unit, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
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    Źródło:
    Cardiovascular diabetology [Cardiovasc Diabetol] 2022 Aug 27; Vol. 21 (1), pp. 166. Date of Electronic Publication: 2022 Aug 27.
    Typ publikacji:
    Journal Article; Research Support, Non-U.S. Gov't
    MeSH Terms:
    Atherosclerosis*
    Cardiovascular Diseases*
    Diabetes Mellitus, Type 2*
    Myocardial Infarction*
    Stroke*
    Clinical Trials as Topic ; Humans ; Models, Statistical ; Reproducibility of Results ; Risk Assessment
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
    Tytuł:
    Incorporation of natriuretic peptides with clinical risk scores to predict heart failure among individuals with dysglycaemia.
    Autorzy:
    Segar MW; Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.; Department of Cardiology, Texas Heart Institute, Houston, TX, USA.
    Khan MS; Division of Cardiology, Duke University School of Medicine, Durham, NC, USA.
    Patel KV; Department of Cardiology, Houston Methodist DeBakey Heart and Vascular Center, Houston, TX, USA.
    Vaduganathan M; Brigham and Women's Hospital Heart and Vascular Center, Department of Medicine, Harvard Medical School, Boston, MA, USA.
    Kannan V; Clinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, TX, USA.
    Willett D; Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.; Clinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, TX, USA.
    Peterson E; Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.
    Tang WHW; Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland, OH, USA.
    Butler J; Division of Cardiology, Duke University School of Medicine, Durham, NC, USA.
    Everett BM; Brigham and Women's Hospital Heart and Vascular Center, Department of Medicine, Harvard Medical School, Boston, MA, USA.
    Fonarow GC; Division of Cardiology, Ronald Reagan UCLA Medical Center, Ahmanson-UCLA Cardiomyopathy Center, Los Angeles, CA, USA.
    Wang TJ; Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.
    McGuire DK; Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.
    Pandey A; Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.
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    Źródło:
    European journal of heart failure [Eur J Heart Fail] 2022 Jan; Vol. 24 (1), pp. 169-180. Date of Electronic Publication: 2021 Nov 23.
    Typ publikacji:
    Journal Article; Research Support, Non-U.S. Gov't
    MeSH Terms:
    Heart Failure*/diagnosis
    Heart Failure*/epidemiology
    Natriuretic Peptides*
    Glucose Metabolism Disorders/*epidemiology
    Adult ; Cohort Studies ; Humans ; Risk Assessment/methods ; Risk Factors
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
    Tytuł:
    Omics, machine learning, and personalized medicine in heart failure with preserved ejection fraction: promising future or false hope?
    Autorzy:
    Segar MW; Division of Cardiology, Department of Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.
    Pandey A; Division of Cardiology, Department of Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.
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    Źródło:
    European journal of heart failure [Eur J Heart Fail] 2021 Jun; Vol. 23 (6), pp. 992-994. Date of Electronic Publication: 2021 Jun 14.
    Typ publikacji:
    Editorial; Research Support, N.I.H., Extramural; Comment
    MeSH Terms:
    Heart Failure*/genetics
    Heart Failure*/therapy
    Precision Medicine*
    Forecasting ; Humans ; Machine Learning ; Stroke Volume
    Raport
    Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
    Tytuł:
    Phenomapping of patients with heart failure with preserved ejection fraction using machine learning-based unsupervised cluster analysis.
    Autorzy:
    Segar MW; Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.
    Patel KV; Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.
    Ayers C; Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.
    Basit M; Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.
    Tang WHW; Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland, OH, USA.
    Willett D; Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.
    Berry J; Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.
    Grodin JL; Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.
    Pandey A; Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.
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    Źródło:
    European journal of heart failure [Eur J Heart Fail] 2020 Jan; Vol. 22 (1), pp. 148-158. Date of Electronic Publication: 2019 Oct 21.
    Typ publikacji:
    Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
    MeSH Terms:
    Heart Failure*/epidemiology
    Cluster Analysis ; Humans ; Machine Learning ; Mineralocorticoid Receptor Antagonists ; Prognosis ; Stroke Volume
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
    Tytuł:
    Spectral probabilities of top-down tandem mass spectra.
    Autorzy:
    Liu X
    Segar MW
    Li SC
    Kim S
    Pokaż więcej
    Źródło:
    BMC genomics [BMC Genomics] 2014; Vol. 15 Suppl 1, pp. S9. Date of Electronic Publication: 2014 Jan 24.
    Typ publikacji:
    Journal Article; Research Support, Non-U.S. Gov't
    MeSH Terms:
    Computational Biology/*methods
    Proteins/*metabolism
    Tandem Mass Spectrometry/*methods
    Models, Statistical ; Protein Processing, Post-Translational ; Proteomics
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknieSzczegóły
      Wyświetlanie 1-6 z 6

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