Selected article for: "care unit and SOFA score"

Author: Guirgis, Faheem W.; Leeuwenburgh, Christiaan; Moldawer, Lyle; Ghita, Gabriela; Black, Lauren Page; Henson, Morgan; DeVos, Elizabeth; Holden, David; Efron, Phil; Reddy, Srinivasa T.; Moore, Frederick A.
Title: Lipid and lipoprotein predictors of functional outcomes and long-term mortality after surgical sepsis
  • Cord-id: 3h7ujqkj
  • Document date: 2021_5_20
  • ID: 3h7ujqkj
    Snippet: RATIONALE: Sepsis is a life-threatening, dysregulated response to infection. Lipid biomarkers including cholesterol are dynamically regulated during sepsis and predict short-term outcomes. In this study, we investigated the predictive ability of lipid biomarkers for physical function and long-term mortality after sepsis. METHODS: Prospective cohort study of sepsis patients admitted to a surgical intensive-care unit (ICU) within 24 h of sepsis bundle initiation. Samples were obtained at enrollmen
    Document: RATIONALE: Sepsis is a life-threatening, dysregulated response to infection. Lipid biomarkers including cholesterol are dynamically regulated during sepsis and predict short-term outcomes. In this study, we investigated the predictive ability of lipid biomarkers for physical function and long-term mortality after sepsis. METHODS: Prospective cohort study of sepsis patients admitted to a surgical intensive-care unit (ICU) within 24 h of sepsis bundle initiation. Samples were obtained at enrollment for lipid biomarkers. Multivariate regression models determined independent risk factors predictive of poor performance status (Zubrod score of 3/4/5) or survival at 1-year follow-up. MEASUREMENTS AND MAIN RESULTS: The study included 104 patients with surgical sepsis. Enrollment total cholesterol and high-density lipoprotein (HDL-C) levels were lower, and myeloperoxidase (MPO) levels were higher for patients with poor performance status at 1 year. A similar trend was seen in comparisons based on 1-year mortality, with HDL-C and ApoA-I levels being lower and MPO levels being higher in non-survivors. However, multivariable logistic regression only identified baseline Zubrod and initial SOFA score as significant independent predictors of poor performance status at 1 year. Multivariable Cox regression modeling for 1-year survival identified high Charlson comorbidity score, low ApoA-I levels, and longer vasopressor duration as predictors of mortality over 1-year post-sepsis. CONCLUSIONS: In this surgical sepsis study, lipoproteins were not found to predict poor performance status at 1 year. ApoA-I levels, Charlson comorbidity scores, and duration of vasopressor use predicted 1 year survival. These data implicate cholesterol and lipoproteins as contributors to the underlying pathobiology of sepsis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13613-021-00865-x.

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