10 research outputs found

    Controlled Tubular Unit Formation from Collagen Film for Modular Tissue Engineering

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    Bottom-up or modular tissue engineering is one of the emerging approaches to prepare biomimetic constructs <i>in vitro</i>, involving fabrication of small tissue units as building blocks before assembling them into functional tissue constructs. Herein, we reported a microscale tissue engineering approach to generate tubular tissue units through cellular contractile force induced self-folding of cell-laden collagen films in a controllable manner. Self-folding of cell-laden collagen films was driven by film contraction resulted from intrinsic contractile property of adherent mammalian cells seeded in collagen films. We explored in detail independent effects of collagen gel concentration, cell density, and intrinsic cellular contractility on self-folding and tubular structure formation of cell-laden collagen films. Through both experiments and theoretical modeling, we further demonstrated the effectiveness of integrating ridge array structures onto the backside of collagen films in introducing structural anisotropy and thus controlling self-folding directions of collagen films. Our approach of using ridge array structures to introduce mechanical anisotropy and thus promote tubular tissue unit formation can be extended to other biomaterial systems and thus provide a simple yet effective way to prepare tubular tissue units for modular tissue engineering applications

    Table_1_Elevated Blood Urea Nitrogen to Serum Albumin Ratio Is an Adverse Prognostic Predictor for Patients Undergoing Cardiac Surgery.doc

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    BackgroundElevated blood urea nitrogen (BUN) and reduced albumin have been prominently correlated with unfavorable outcomes in patients with cardiovascular diseases. However, whether combination BUN and albumin levels could predict the adverse outcomes of cardiac surgery patients remains to be confirmed. Here, we investigated the prognostic effect of the preoperative BUN to serum albumin ratio (BAR) in cardiac surgery patients.MethodsData were obtained from the Medical Information Mart for Intensive Care (MIMIC) III and eICU databases and classified into a training cohort and validation cohort. The BAR (mg/g) was calculated by initial BUN (mg/dl)/serum albumin (g/dl). The primary outcome was in-hospital mortality. Secondary outcomes were 1-year mortality, prolonged length at intensive care unit, and duration of hospital stay. The associations of BAR with outcomes were explored by multivariate regression analysis and subgroup analyses. Then, C statistics were performed to assess the added prognostic impact of BAR beyond a baseline risk model.ResultsPatients with in-hospital death had significantly higher levels of BAR. Multivariate regression analysis identified BAR, as a categorical or continuous variable, as an independent factor for adverse outcomes of cardiac surgery (all p ConclusionsIncreased preoperative BAR is a potent predictor of unfavorable outcomes in patients undergoing cardiac surgery.</p

    Data_Sheet_1_Elevated Blood Urea Nitrogen to Serum Albumin Ratio Is an Adverse Prognostic Predictor for Patients Undergoing Cardiac Surgery.doc

    No full text
    BackgroundElevated blood urea nitrogen (BUN) and reduced albumin have been prominently correlated with unfavorable outcomes in patients with cardiovascular diseases. However, whether combination BUN and albumin levels could predict the adverse outcomes of cardiac surgery patients remains to be confirmed. Here, we investigated the prognostic effect of the preoperative BUN to serum albumin ratio (BAR) in cardiac surgery patients.MethodsData were obtained from the Medical Information Mart for Intensive Care (MIMIC) III and eICU databases and classified into a training cohort and validation cohort. The BAR (mg/g) was calculated by initial BUN (mg/dl)/serum albumin (g/dl). The primary outcome was in-hospital mortality. Secondary outcomes were 1-year mortality, prolonged length at intensive care unit, and duration of hospital stay. The associations of BAR with outcomes were explored by multivariate regression analysis and subgroup analyses. Then, C statistics were performed to assess the added prognostic impact of BAR beyond a baseline risk model.ResultsPatients with in-hospital death had significantly higher levels of BAR. Multivariate regression analysis identified BAR, as a categorical or continuous variable, as an independent factor for adverse outcomes of cardiac surgery (all p ConclusionsIncreased preoperative BAR is a potent predictor of unfavorable outcomes in patients undergoing cardiac surgery.</p
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