1
|
Annane D, Mira JP, Ware LB, Gordon AC, Hinds CJ, Christiani DC, Sevransky J, Barnes K, Buchman TG, Heagerty PJ, Balshaw R, Lesnikova N, de Nobrega K, Wellman HF, Neira M, Mancini ADJ, Walley KR, Russell JA. Pharmacogenomic biomarkers do not predict response to drotrecogin alfa in patients with severe sepsis. Ann Intensive Care 2018; 8:16. [PMID: 29388048 PMCID: PMC5792380 DOI: 10.1186/s13613-018-0353-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2016] [Accepted: 01/01/2018] [Indexed: 12/12/2022] Open
Abstract
Purpose
To explore potential design for pharmacogenomics trials in sepsis, we investigate the interaction between pharmacogenomic biomarkers and response to drotrecogin alfa (activated) (DrotAA). This trial was designed to validate whether previously identified improved response polymorphisms (IRPs A and B) were associated with an improved response to DrotAA in severe sepsis. Methods Patients with severe sepsis at high risk of death, who received DrotAA or not, with DNA available were included and matched to controls adjusting for age, APACHE II or SAPS II, organ dysfunction, ventilation, medical/surgical status, infection site, and propensity score (probability that a patient would have received DrotAA given their baseline characteristics). Independent genotyping and two-phase data transfer mitigated bias. The primary analysis compared the effect of DrotAA in IRP+ and IRP− groups on in-hospital 28-day mortality. Secondary endpoints included time to death in hospital; intensive care unit (ICU)-, hospital-, and ventilator-free days; and overall DrotAA treatment effect on mortality.
Results Six hundred and ninety-two patients treated with DrotAA were successfully matched to 1935 patients not treated with DrotAA. Genotyping was successful for 639 (DrotAA) and 1684 (nonDrotAA) matched patients. The primary hypothesis of a genotype-by-treatment interaction (assessed by conditional logistic regression analysis) was not significant (P = 0.30 IRP A; P = 0.78 IRP B), and there was no significant genotype by treatment interaction for any secondary endpoint. Conclusions
Neither IRP A nor IRP B predicted differential response to DrotAA on in-hospital 28-day mortality. ClinicalTrials.gov registration NCT01486524 Electronic supplementary material The online version of this article (10.1186/s13613-018-0353-2) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Djillali Annane
- Service de Reanimation Medicale, Hopital R. Poincare, 104 Bd Raymond Poincare, 92380, Garches, France
| | - Jean-Paul Mira
- Sorbonne Paris Cité, Cochin Hotel-Dieu University Hospital Medical Intensive Care Unit, AP-HP, Université Paris Descartes, 75014, Paris, France
| | - Lorraine B Ware
- Departments of Medicine and Pathology, Microbiology and Immunology, Vanderbilt University School of Medicine, 1161 21st Avenue South T1218 MCN, Nashville, TN, 37232-2650, USA
| | - Anthony C Gordon
- Section of Anaesthetics, Pain Medicine, and Intensive Care, Charing Cross Hospital, Imperial College London, Fulham Palace Road, London, W6 8RF, UK
| | - Charles J Hinds
- Barts and The London School of Medicine, Queen Mary University of London, London, UK
| | - David C Christiani
- Harvard Medical School and School of Public Health, 665 Huntington Avenue, Building I Room 1401, Boston, MA, 02115, USA
| | - Jonathan Sevransky
- Emory Center for Critical Care, Woodruff Health Sciences Center, Emory University, Atlanta, GA, USA
| | - Kathleen Barnes
- Division of Allergy and Clinical Immunology, Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Timothy G Buchman
- Emory Center for Critical Care, Woodruff Health Sciences Center, Emory University, Atlanta, GA, USA
| | - Patrick J Heagerty
- Department of Biostatistics, University of Washington, F-600, Health Sciences Building, Office: H-665D HSB, Box 357232, Seattle, WA, 98195-7232, USA
| | | | | | | | - Hugh F Wellman
- Formerly with Sirius Genomics Inc, Vancouver, BC, Canada
| | - Mauricio Neira
- Formerly with Sirius Genomics Inc, Vancouver, BC, Canada
| | | | - Keith R Walley
- Critical Care Research Laboratories, Centre for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia, Burrard Building, Rm 166 - 1081 Burrard St, Vancouver, BC, V6Z 1Y6, Canada
| | - James A Russell
- Critical Care Research Laboratories, Centre for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia, Burrard Building, Rm 166 - 1081 Burrard St, Vancouver, BC, V6Z 1Y6, Canada.
| |
Collapse
|
2
|
Abstract
There is much enthusiasm and interest in sepsis biomarkers, particularly because sepsis is a highly lethal condition, its diagnosis is challenging, and even simple treatment with antibiotics has led to serious adverse consequences such as emergence of resistant pathogens. Yet development of a sepsis biomarker requires many more steps than simply finding an association between a particular molecule and a clinical state or outcome. Demonstration of improvement of therapeutic practice using receiver-operating characteristic and other analyses is important. Validation in independent, prospective and, preferably, multicenter trials is essential. Many promising candidate sepsis biomarkers have recently been proposed. While procalcitonin (PCT) is currently the most studied sepsis biomarker, evidence of potential value has been found for a wide array of blood biomarkers including proteins, mRNA expression in whole blood or leukocytes, micro-RNAs (miRNA), pathogen and host DNA, pathogen and host genetic variants and metabolomic panels, and even in the novel use of currently available clinical data. While the most common early reports link putative sepsis biomarker levels to severity of illness and outcome (prognostic), this is not anticipated to be their primary use. More important is the distinction between infection and noninfectious inflammatory responses (diagnostic) and the use of sepsis biomarkers to direct therapy (predictive).
Collapse
|