Literature DB >> 29624409

Validation of a Host Response Assay, SeptiCyte LAB, for Discriminating Sepsis from Systemic Inflammatory Response Syndrome in the ICU.

Russell R Miller1,2, Bert K Lopansri1,2, John P Burke1,2, Mitchell Levy3, Steven Opal3, Richard E Rothman4, Franco R D'Alessio4, Venkataramana K Sidhaye4, Neil R Aggarwal4, Robert Balk5, Jared A Greenberg5, Mark Yoder5, Gourang Patel5, Emily Gilbert6, Majid Afshar6, Jorge P Parada6, Greg S Martin7, Annette M Esper7, Jordan A Kempker7, Mangala Narasimhan8, Adey Tsegaye8, Stella Hahn8, Paul Mayo8, Tom van der Poll9, Marcus J Schultz9, Brendon P Scicluna9, Peter Klein Klouwenberg10, Antony Rapisarda11, Therese A Seldon11, Leo C McHugh11, Thomas D Yager11, Silvia Cermelli11, Dayle Sampson11, Victoria Rothwell11, Richard Newman11, Shruti Bhide11, Brian A Fox11, James T Kirk11, Krupa Navalkar11, Roy F Davis11, Roslyn A Brandon11, Richard B Brandon11.   

Abstract

RATIONALE: A molecular test to distinguish between sepsis and systemic inflammation of noninfectious etiology could potentially have clinical utility.
OBJECTIVES: This study evaluated the diagnostic performance of a molecular host response assay (SeptiCyte LAB) designed to distinguish between sepsis and noninfectious systemic inflammation in critically ill adults.
METHODS: The study employed a prospective, observational, noninterventional design and recruited a heterogeneous cohort of adult critical care patients from seven sites in the United States (n = 249). An additional group of 198 patients, recruited in the large MARS (Molecular Diagnosis and Risk Stratification of Sepsis) consortium trial in the Netherlands ( www.clinicaltrials.gov identifier NCT01905033), was also tested and analyzed, making a grand total of 447 patients in our study. The performance of SeptiCyte LAB was compared with retrospective physician diagnosis by a panel of three experts.
MEASUREMENTS AND MAIN RESULTS: In receiver operating characteristic curve analysis, SeptiCyte LAB had an estimated area under the curve of 0.82-0.89 for discriminating sepsis from noninfectious systemic inflammation. The relative likelihood of sepsis versus noninfectious systemic inflammation was found to increase with increasing test score (range, 0-10). In a forward logistic regression analysis, the diagnostic performance of the assay was improved only marginally when used in combination with other clinical and laboratory variables, including procalcitonin. The performance of the assay was not significantly affected by demographic variables, including age, sex, or race/ethnicity.
CONCLUSIONS: SeptiCyte LAB appears to be a promising diagnostic tool to complement physician assessment of infection likelihood in critically ill adult patients with systemic inflammation. Clinical trial registered with www.clinicaltrials.gov (NCT01905033 and NCT02127502).

Entities:  

Keywords:  RT-qPCR; classifier; infection; inflammation; sepsis

Mesh:

Year:  2018        PMID: 29624409      PMCID: PMC6835074          DOI: 10.1164/rccm.201712-2472OC

Source DB:  PubMed          Journal:  Am J Respir Crit Care Med        ISSN: 1073-449X            Impact factor:   21.405


  31 in total

1.  Sepsis biomarkers in neutropaenic systemic inflammatory response syndrome patients on standard care wards.

Authors:  Franz Ratzinger; Helmuth Haslacher; Thomas Perkmann; Klaus G Schmetterer; Wolfgang Poeppl; Dieter Mitteregger; Georg Dorffner; Heinz Burgmann
Journal:  Eur J Clin Invest       Date:  2015-08       Impact factor: 4.686

2.  Procalcitonin as a rapid diagnostic biomarker to differentiate between culture-negative bacterial sepsis and systemic inflammatory response syndrome: a prospective, observational, cohort study.

Authors:  Dimple Anand; Sabari Das; Seema Bhargava; Lalit Mohan Srivastava; Ashish Garg; Niraj Tyagi; Saurabh Taneja; Sumit Ray
Journal:  J Crit Care       Date:  2014-09-06       Impact factor: 3.425

3.  Association of RNA Biosignatures With Bacterial Infections in Febrile Infants Aged 60 Days or Younger.

Authors:  Prashant Mahajan; Nathan Kuppermann; Asuncion Mejias; Nicolas Suarez; Damien Chaussabel; T Charles Casper; Bennett Smith; Elizabeth R Alpern; Jennifer Anders; Shireen M Atabaki; Jonathan E Bennett; Stephen Blumberg; Bema Bonsu; Dominic Borgialli; Anne Brayer; Lorin Browne; Daniel M Cohen; Ellen F Crain; Andrea T Cruz; Peter S Dayan; Rajender Gattu; Richard Greenberg; John D Hoyle; David M Jaffe; Deborah A Levine; Kathleen Lillis; James G Linakis; Jared Muenzer; Lise E Nigrovic; Elizabeth C Powell; Alexander J Rogers; Genie Roosevelt; Richard M Ruddy; Mary Saunders; Michael G Tunik; Leah Tzimenatos; Melissa Vitale; J Michael Dean; Octavio Ramilo
Journal:  JAMA       Date:  2016 Aug 23-30       Impact factor: 56.272

4.  Diagnostic Test Accuracy of a 2-Transcript Host RNA Signature for Discriminating Bacterial vs Viral Infection in Febrile Children.

Authors:  Jethro A Herberg; Myrsini Kaforou; Victoria J Wright; Hannah Shailes; Hariklia Eleftherohorinou; Clive J Hoggart; Miriam Cebey-López; Michael J Carter; Victoria A Janes; Stuart Gormley; Chisato Shimizu; Adriana H Tremoulet; Anouk M Barendregt; Antonio Salas; John Kanegaye; Andrew J Pollard; Saul N Faust; Sanjay Patel; Taco Kuijpers; Federico Martinón-Torres; Jane C Burns; Lachlan J M Coin; Michael Levin
Journal:  JAMA       Date:  2016 Aug 23-30       Impact factor: 56.272

5.  Evaluation of pathogen detection from clinical samples by real-time polymerase chain reaction using a sepsis pathogen DNA detection kit.

Authors:  Katsunori Yanagihara; Yuko Kitagawa; Masao Tomonaga; Kunihiro Tsukasaki; Shigeru Kohno; Masafumi Seki; Hisashi Sugimoto; Takeshi Shimazu; Osamu Tasaki; Asako Matsushima; Yasuo Ikeda; Shinichiro Okamoto; Naoki Aikawa; Shingo Hori; Hideaki Obara; Akitoshi Ishizaka; Naoki Hasegawa; Junzo Takeda; Shimeru Kamihira; Kazuyuki Sugahara; Seishi Asari; Mitsuru Murata; Yoshio Kobayashi; Hiroyuki Ginba; Yoshinobu Sumiyama; Masaki Kitajima
Journal:  Crit Care       Date:  2010-08-24       Impact factor: 9.097

6.  Decision curve analysis revisited: overall net benefit, relationships to ROC curve analysis, and application to case-control studies.

Authors:  Valentin Rousson; Thomas Zumbrunn
Journal:  BMC Med Inform Decis Mak       Date:  2011-06-22       Impact factor: 2.796

7.  Utility of sepsis biomarkers and the infection probability score to discriminate sepsis and systemic inflammatory response syndrome in standard care patients.

Authors:  Franz Ratzinger; Michael Schuardt; Katherina Eichbichler; Irene Tsirkinidou; Marlene Bauer; Helmuth Haslacher; Dieter Mitteregger; Michael Binder; Heinz Burgmann
Journal:  PLoS One       Date:  2013-12-11       Impact factor: 3.240

8.  A Transcriptomic Biomarker to Quantify Systemic Inflammation in Sepsis - A Prospective Multicenter Phase II Diagnostic Study.

Authors:  Michael Bauer; Evangelos J Giamarellos-Bourboulis; Andreas Kortgen; Eva Möller; Karen Felsmann; Jean Marc Cavaillon; Orlando Guntinas-Lichius; Olivier Rutschmann; Andriy Ruryk; Matthias Kohl; Britta Wlotzka; Stefan Rußwurm; John C Marshall; Konrad Reinhart
Journal:  EBioMedicine       Date:  2016-03-08       Impact factor: 8.143

9.  The Clinical Challenge of Sepsis Identification and Monitoring.

Authors:  Jean-Louis Vincent
Journal:  PLoS Med       Date:  2016-05-17       Impact factor: 11.069

10.  A Molecular Host Response Assay to Discriminate Between Sepsis and Infection-Negative Systemic Inflammation in Critically Ill Patients: Discovery and Validation in Independent Cohorts.

Authors:  Leo McHugh; Therese A Seldon; Roslyn A Brandon; James T Kirk; Antony Rapisarda; Allison J Sutherland; Jeffrey J Presneill; Deon J Venter; Jeffrey Lipman; Mervyn R Thomas; Peter M C Klein Klouwenberg; Lonneke van Vught; Brendon Scicluna; Marc Bonten; Olaf L Cremer; Marcus J Schultz; Tom van der Poll; Thomas D Yager; Richard B Brandon
Journal:  PLoS Med       Date:  2015-12-08       Impact factor: 11.069

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  22 in total

1.  Making Sepsis Molecular: Is There Enough Time for New Tests?

Authors:  Christopher W Seymour; Gordon Bernard
Journal:  Am J Respir Crit Care Med       Date:  2018-10-01       Impact factor: 21.405

Review 2.  Diagnosing and Managing Sepsis by Probing the Host Response to Infection: Advances, Opportunities, and Challenges.

Authors:  Ian L Gunsolus; Timothy E Sweeney; Oliver Liesenfeld; Nathan A Ledeboer
Journal:  J Clin Microbiol       Date:  2019-06-25       Impact factor: 5.948

3.  Key Signature Genes of Early Terminal Granulocytic Differentiation Distinguish Sepsis From Systemic Inflammatory Response Syndrome on Intensive Care Unit Admission.

Authors:  Sonia Y Velásquez; Anna Coulibaly; Carsten Sticht; Jutta Schulte; Bianka Hahn; Timo Sturm; Roman Schefzik; Manfred Thiel; Holger A Lindner
Journal:  Front Immunol       Date:  2022-06-30       Impact factor: 8.786

4.  Identifying Potential Effective Diagnostic and Prognostic Biomarkers in Sepsis by Bioinformatics Analysis and Validation.

Authors:  Xu Huang; Jixiang Tan; Xiaoying Chen; Lin Zhao
Journal:  Int J Gen Med       Date:  2022-07-06

5.  Presymptomatic diagnosis of postoperative infection and sepsis using gene expression signatures.

Authors:  Roman A Lukaszewski; Helen E Jones; Vivian H Gersuk; Paul Russell; Andrew Simpson; David Brealey; Jonathan Walker; Matt Thomas; Tony Whitehouse; Marlies Ostermann; Alexander Koch; Kai Zacharowski; Mogens Kruhoffer; Damien Chaussabel; Mervyn Singer
Journal:  Intensive Care Med       Date:  2022-07-13       Impact factor: 41.787

6.  Development of a fixed module repertoire for the analysis and interpretation of blood transcriptome data.

Authors:  Matthew C Altman; Darawan Rinchai; Nicole Baldwin; Mohammed Toufiq; Elizabeth Whalen; Mathieu Garand; Basirudeen Syed Ahamed Kabeer; Mohamed Alfaki; Scott R Presnell; Prasong Khaenam; Aaron Ayllón-Benítez; Fleur Mougin; Patricia Thébault; Laurent Chiche; Noemie Jourde-Chiche; J Theodore Phillips; Goran Klintmalm; Anne O'Garra; Matthew Berry; Chloe Bloom; Robert J Wilkinson; Christine M Graham; Marc Lipman; Ganjana Lertmemongkolchai; Davide Bedognetti; Rodolphe Thiebaut; Farrah Kheradmand; Asuncion Mejias; Octavio Ramilo; Karolina Palucka; Virginia Pascual; Jacques Banchereau; Damien Chaussabel
Journal:  Nat Commun       Date:  2021-07-19       Impact factor: 14.919

7.  Erratum: Validation of a Host Response Assay, SeptiCyte LAB, for Discriminating Sepsis from Systemic Inflammatory Response Syndrome in the ICU.

Authors: 
Journal:  Am J Respir Crit Care Med       Date:  2020-07-01       Impact factor: 21.405

8.  Assessment of a Cellular Host Response Test as a Sepsis Diagnostic for Those With Suspected Infection in the Emergency Department.

Authors:  Hollis R O'Neal; Roya Sheybani; Terrell S Caffery; Mandi W Musso; Diana Hamer; Shannon M Alwood; Matthew S Berlinger; Tonya Jagneaux; Katherine W LaVie; Catherine S O'Neal; Michael A Sanchez; Morgan K Walker; Ajay M Shah; Henry T K Tse; Christopher B Thomas
Journal:  Crit Care Explor       Date:  2021-06-15

9.  Blood transcriptomic discrimination of bacterial and viral infections in the emergency department: a multi-cohort observational validation study.

Authors:  Dayle Sampson; Thomas D Yager; Brian Fox; Laura Shallcross; Leo McHugh; Therese Seldon; Antony Rapisarda; Roslyn A Hendriks; Richard B Brandon; Krupa Navalkar; Nandi Simpson; Sian Stafford; Eliza Gil; Cristina Venturini; Evi Tsaliki; Jennifer Roe; Benjamin Chain; Mahdad Noursadeghi
Journal:  BMC Med       Date:  2020-07-21       Impact factor: 8.775

10.  Blood transcriptional biomarkers of acute viral infection for detection of pre-symptomatic SARS-CoV-2 infection: a nested, case-control diagnostic accuracy study.

Authors:  Rishi K Gupta; Joshua Rosenheim; Lucy C Bell; Aneesh Chandran; Jose A Guerra-Assuncao; Gabriele Pollara; Matthew Whelan; Jessica Artico; George Joy; Hibba Kurdi; Daniel M Altmann; Rosemary J Boyton; Mala K Maini; Aine McKnight; Jonathan Lambourne; Teresa Cutino-Moguel; Charlotte Manisty; Thomas A Treibel; James C Moon; Benjamin M Chain; Mahdad Noursadeghi
Journal:  Lancet Microbe       Date:  2021-07-06
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