Faheem W Guirgis1, Sunita Dodani, Lyle Moldawer, Christiaan Leeuwenburgh, Jennifer Bowman, Colleen Kalynych, Alan E Jones, Srinivasa T Reddy, Frederick A Moore. 1. *Department of Emergency Medicine, University of Florida College of Medicine, Jacksonville, Florida †Department of Family and Community Medicine, College of Medicine, Mayo Clinic, Jacksonville, Florida ‡Department of Surgery, University of Florida College of Medicine, Gainesville, Florida §Department of Aging and Geriatrics, University of Florida College of Medicine, Gainesville, Florida ||Department of Emergency Medicine, University of Mississippi College of Medicine, Jackson, Mississippi ¶Department of Medicine, Molecular, and Medical Pharmacology, UCLA School of Medicine, Los Angeles, California.
Abstract
BACKGROUND: High density lipoprotein (HDL) can be readily oxidized in inflammatory conditions and exhibit pro-inflammatory and dysfunctional (Dys-HDL) characteristics. We hypothesize that Dys-HDL may predict adverse outcomes and correlate with inflammatory cytokines in sepsis. METHODS: Emergency department (ED) patients with sepsis were enrolled. Blood was drawn at enrollment and after 48 h. Dys-HDL, expressed as HDL inflammatory index (HII), and cytokines were measured. Multivariable logistic regression was used to determine the predictive ability of Dys-HDL for adverse outcomes (death, discharge to hospice, or nursing home). RESULTS: Thirty-five patients were included in the study. HII was not significantly different at baseline or 48 h between patients with adverse outcomes versus those without. However, there was a significant difference in change in HII over the first 48 h between those with adverse outcomes (+0.21, 95% CI -0.13 to 0.31) versus those without (-0.11, 95% CI -1 to 0.11) (P = 0.025). Logistic regression revealed increasing HII to be an independent predictor of adverse outcomes (OR 5.2, 95% CI 1.1-25.1 P = 0.040). Of the 24 patents with cytokine measurements at both time points, significant inverse correlations between change in HII and change in GRO (rs = -0.52, P = 0.0088) and monocyte chemotactic protein-1 (rs = -0.61, P = 0.0014) concentrations over 48 h were observed. CONCLUSION: Increasing Dys-HDL concentrations in the first 48 h of sepsis are associated with an ongoing inflammatory response and adverse clinical outcomes. Early changes in HII may be a potential biomarker in ED patients admitted with sepsis.
BACKGROUND: High density lipoprotein (HDL) can be readily oxidized in inflammatory conditions and exhibit pro-inflammatory and dysfunctional (Dys-HDL) characteristics. We hypothesize that Dys-HDL may predict adverse outcomes and correlate with inflammatory cytokines in sepsis. METHODS: Emergency department (ED) patients with sepsis were enrolled. Blood was drawn at enrollment and after 48 h. Dys-HDL, expressed as HDL inflammatory index (HII), and cytokines were measured. Multivariable logistic regression was used to determine the predictive ability of Dys-HDL for adverse outcomes (death, discharge to hospice, or nursing home). RESULTS: Thirty-five patients were included in the study. HII was not significantly different at baseline or 48 h between patients with adverse outcomes versus those without. However, there was a significant difference in change in HII over the first 48 h between those with adverse outcomes (+0.21, 95% CI -0.13 to 0.31) versus those without (-0.11, 95% CI -1 to 0.11) (P = 0.025). Logistic regression revealed increasing HII to be an independent predictor of adverse outcomes (OR 5.2, 95% CI 1.1-25.1 P = 0.040). Of the 24 patents with cytokine measurements at both time points, significant inverse correlations between change in HII and change in GRO (rs = -0.52, P = 0.0088) and monocyte chemotactic protein-1 (rs = -0.61, P = 0.0014) concentrations over 48 h were observed. CONCLUSION: Increasing Dys-HDL concentrations in the first 48 h of sepsis are associated with an ongoing inflammatory response and adverse clinical outcomes. Early changes in HII may be a potential biomarker in ED patients admitted with sepsis.
Authors: Faheem W Guirgis; Scott Brakenridge; Selina Sutchu; Jay D Khadpe; Taylor Robinson; Richard Westenbarger; Stephen T Topp; Colleen J Kalynych; Jennifer Reynolds; Sunita Dodani; Frederick A Moore; Alan E Jones Journal: J Trauma Acute Care Surg Date: 2016-09 Impact factor: 3.313
Authors: Bernd Hewing; Saj Parathath; Tessa Barrett; Wing Ki Kellie Chung; Yaritzy M Astudillo; Tadateru Hamada; Bhama Ramkhelawon; Thomas C Tallant; Mohamed Shaif S Yusufishaq; Joseph A Didonato; Ying Huang; Jennifer Buffa; Stela Z Berisha; Jonathan D Smith; Stanley L Hazen; Edward A Fisher Journal: Arterioscler Thromb Vasc Biol Date: 2014-01-09 Impact factor: 8.311
Authors: Andrew J Murphy; Kevin J Woollard; Andreas Suhartoyo; Roslynn A Stirzaker; James Shaw; Dmitri Sviridov; Jaye P F Chin-Dusting Journal: Arterioscler Thromb Vasc Biol Date: 2011-04-07 Impact factor: 8.311
Authors: Joseph A DiDonato; Kulwant Aulak; Ying Huang; Matthew Wagner; Gary Gerstenecker; Celalettin Topbas; Valentin Gogonea; Anthony J DiDonato; W H Wilson Tang; Ryan A Mehl; Paul L Fox; Edward F Plow; Jonathan D Smith; Edward A Fisher; Stanley L Hazen Journal: J Biol Chem Date: 2014-02-20 Impact factor: 5.157
Authors: Andrew J Murphy; Kevin J Woollard; Anh Hoang; Nigora Mukhamedova; Roslynn A Stirzaker; Sally P A McCormick; Alan T Remaley; Dmitri Sviridov; Jaye Chin-Dusting Journal: Arterioscler Thromb Vasc Biol Date: 2008-07-10 Impact factor: 8.311
Authors: Faheem W Guirgis; John P Donnelly; Sunita Dodani; George Howard; Monika M Safford; Emily B Levitan; Henry E Wang Journal: Crit Care Date: 2016-12-23 Impact factor: 9.097
Authors: Faheem W Guirgis; Christiaan Leeuwenburgh; Victor Grijalva; Jennifer Bowman; Colleen Kalynych; Lyle Moldawer; Frederick A Moore; Srinivasa T Reddy Journal: Shock Date: 2018-07 Impact factor: 3.454
Authors: Faheem W Guirgis; Lauren Page Black; Morgan Henson; Guillaume Labilloy; Carmen Smotherman; Charlotte Hopson; Ian Tfirn; Elizabeth L DeVos; Christiaan Leeuwenburgh; Lyle Moldawer; Susmita Datta; Todd M Brusko; Alexis Hester; Andrew Bertrand; Victor Grijalva; Alexander Arango-Esterhay; Frederick A Moore; Srinivasa T Reddy Journal: Crit Care Date: 2021-09-17 Impact factor: 19.334
Authors: Faheem W Guirgis; Christiaan Leeuwenburgh; Lyle Moldawer; Gabriela Ghita; Lauren Page Black; Morgan Henson; Elizabeth DeVos; David Holden; Phil Efron; Srinivasa T Reddy; Frederick A Moore Journal: Ann Intensive Care Date: 2021-05-20 Impact factor: 6.925
Authors: Lauren Page Black; Michael A Puskarich; Morgan Henson; Taylor Miller; Srinivasa T Reddy; Rosemarie Fernandez; Faheem W Guirgis Journal: J Intensive Care Med Date: 2020-06-24 Impact factor: 2.889
Authors: Faheem W Guirgis; Sunita Dodani; Christiaan Leeuwenburgh; Lyle Moldawer; Jennifer Bowman; Colleen Kalynych; Victor Grijalva; Srinivasa T Reddy; Alan E Jones; Frederick A Moore Journal: PLoS One Date: 2018-09-14 Impact factor: 3.240
Authors: Faheem W Guirgis; Lauren Page Black; Martin Daniel Rosenthal; Morgan Henson; Jason Ferreira; Christiaan Leeuwenburgh; Colleen Kalynych; Lyle L Moldawer; Taylor Miller; Lisa Jones; Marie Crandall; Srinivasa T Reddy; Samuel S Wu; Frederick A Moore Journal: BMJ Open Date: 2019-09-18 Impact factor: 2.692