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Truong TM, Apfelbaum JL, Danahey K, Schierer E, Ludwig J, George D, House L, Karrison T, Shahul S, Anitescu M, Choksi A, Hartman S, Knoebel RW, van Wijk XM, Yeo KTJ, Meltzer D, Ratain MJ, O’Donnell PH. Pilot Findings of Pharmacogenomics in Perioperative Care: Initial Results From the First Phase of the ImPreSS Trial. Anesth Analg 2022; 135:929-940. [PMID: 35213469 PMCID: PMC9402808 DOI: 10.1213/ane.0000000000005951] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
BACKGROUND Pharmacogenomics, which offers a potential means by which to inform prescribing and avoid adverse drug reactions, has gained increasing consideration in other medical settings but has not been broadly evaluated during perioperative care. METHODS The Implementation of Pharmacogenomic Decision Support in Surgery (ImPreSS) Trial is a prospective, single-center study consisting of a prerandomization pilot and a subsequent randomized phase. We describe findings from the pilot period. Patients planning elective surgeries were genotyped with pharmacogenomic results, and decision support was made available to anesthesia providers in advance of surgery. Pharmacogenomic result access and prescribing records were analyzed. Surveys (Likert-scale) were administered to providers to understand utilization barriers. RESULTS Of eligible anesthesiology providers, 166 of 211 (79%) enrolled. A total of 71 patients underwent genotyping and surgery (median, 62 years; 55% female; average American Society of Anesthesiologists (ASA) score, 2.6; 58 inpatients and 13 ambulatories). No patients required postoperative intensive care or pain consultations. At least 1 provider accessed pharmacogenomic results before or during 41 of 71 surgeries (58%). Faculty were more likely to access results (78%) compared to house staff (41%; P = .003) and midlevel practitioners (15%) ( P < .0001). Notably, all administered intraoperative medications had favorable genomic results with the exception of succinylcholine administration to 1 patient with genomically increased risk for prolonged apnea (without adverse outcome). Considering composite prescribing in preoperative, recovery, throughout hospitalization, and at discharge, each patient was prescribed a median of 35 (range 15-83) total medications, 7 (range 1-22) of which had annotated pharmacogenomic results. Of 2371 prescribing events, 5 genomically high-risk medications were administered (all tramadol or omeprazole; with 2 of 5 pharmacogenomic results accessed), and 100 genomically cautionary mediations were administered (hydralazine, oxycodone, and pantoprazole; 61% rate of accessing results). Providers reported that although results were generally easy to access and understand, the most common reason for not considering results was because remembering to access pharmacogenomic information was not yet a part of their normal clinical workflow. CONCLUSIONS Our pilot data for result access rates suggest interest in pharmacogenomics by anesthesia providers, even if opportunities to alter prescribing in response to high-risk genotypes were infrequent. This pilot phase has also uncovered unique considerations for implementing pharmacogenomic information in the perioperative care setting, and new strategies including adding the involvement of surgery teams, targeting patients likely to need intensive care and dedicated pain care, and embedding pharmacists within rounding models will be incorporated in the follow-on randomized phase to increase engagement and likelihood of affecting prescribing decisions and clinical outcomes.
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Affiliation(s)
- Tien M. Truong
- Department of Medicine, University of Chicago, Chicago, IL, USA
- Center for Personalized Therapeutics, University of Chicago, Chicago, IL, USA
- Committee on Clinical Pharmacology and Pharmacogenomics, University of Chicago, Chicago, IL, USA
| | - Jeffrey L. Apfelbaum
- Committee on Clinical Pharmacology and Pharmacogenomics, University of Chicago, Chicago, IL, USA
- Department of Anesthesia and Critical Care, University of Chicago, Chicago, IL, USA
| | - Keith Danahey
- Center for Personalized Therapeutics, University of Chicago, Chicago, IL, USA
- Center for Research Informatics, University of Chicago, Chicago, IL, USA
| | - Emily Schierer
- Center for Personalized Therapeutics, University of Chicago, Chicago, IL, USA
| | - Jenna Ludwig
- Center for Personalized Therapeutics, University of Chicago, Chicago, IL, USA
| | - David George
- Center for Personalized Therapeutics, University of Chicago, Chicago, IL, USA
- Department of Pathology, University of Chicago, Chicago, IL, USA
| | - Larry House
- Center for Personalized Therapeutics, University of Chicago, Chicago, IL, USA
- Department of Pathology, University of Chicago, Chicago, IL, USA
| | - Theodore Karrison
- Department of Public Health Sciences, University of Chicago, Chicago, IL, USA
| | - Sajid Shahul
- Department of Anesthesia and Critical Care, University of Chicago, Chicago, IL, USA
| | - Magdalena Anitescu
- Department of Anesthesia and Critical Care, University of Chicago, Chicago, IL, USA
| | - Anish Choksi
- Department of Pharmacy, University of Chicago, Chicago, IL, USA
| | - Seth Hartman
- Department of Pharmacy, University of Chicago, Chicago, IL, USA
| | - Randall W. Knoebel
- Center for Personalized Therapeutics, University of Chicago, Chicago, IL, USA
- Department of Pharmacy, University of Chicago, Chicago, IL, USA
| | - Xander M.R. van Wijk
- Center for Personalized Therapeutics, University of Chicago, Chicago, IL, USA
- Department of Pathology, University of Chicago, Chicago, IL, USA
| | - Kiang-Teck J. Yeo
- Center for Personalized Therapeutics, University of Chicago, Chicago, IL, USA
- Department of Pathology, University of Chicago, Chicago, IL, USA
| | - David Meltzer
- Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Mark J. Ratain
- Department of Medicine, University of Chicago, Chicago, IL, USA
- Center for Personalized Therapeutics, University of Chicago, Chicago, IL, USA
- Committee on Clinical Pharmacology and Pharmacogenomics, University of Chicago, Chicago, IL, USA
| | - Peter H. O’Donnell
- Department of Medicine, University of Chicago, Chicago, IL, USA
- Center for Personalized Therapeutics, University of Chicago, Chicago, IL, USA
- Committee on Clinical Pharmacology and Pharmacogenomics, University of Chicago, Chicago, IL, USA
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Zhang J, Zhang H, Li K, Shi M. Development of a Polymerase Chain Reaction/Ligase Detection Reaction Assay for Detection of CYP2C19 Polymorphisms. Genet Test Mol Biomarkers 2018; 22:62-73. [PMID: 29345984 DOI: 10.1089/gtmb.2017.0086] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Abstract
AIMS Cytochrome P450 2C19 (CYP2C19) genotypes are associated with differential drug metabolism. The aim of this study was to establish a reliable assay for CYP2C19 genotyping based on a polymerase chain reaction/ligase detection reaction (PCR-LDR). MATERIALS AND METHODS Specific primers and probes were designed to detect CYP2C19*1, *2, *3, and *17. A control for each allele was prepared and used for performance evaluation. A total of 200 clinical samples were analyzed using the PCR-LDR assay and Sanger sequencing. RESULTS The detection limit of the PCR-LDR assay was 2 ng/μL of genomic DNA. Common interfering substances in the blood did not affect the results of the detection. For the clinical samples, the results of the PCR-LDR and the Sanger sequencing were identical. Among the 200 patients, 104 (52%) were wild type (*1/*1), 64 (32%) were *1/*2, 16 (8%) were *1/*3, 8 (4%) were *2/*2, 7 (3.5%) were *2/*3, and 1 (0.5%) was *1/*7. No *3/*3 genotype was detected in these patients. CONCLUSION This PCR-LDR assay is reliable for the detection of CYP2C19 genotypes in a clinical setting. It will be a useful tool to screen for CYP2C19 loss-of-function alleles in patients before clopidogrel and proton pump inhibitor treatment.
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Affiliation(s)
- Jing Zhang
- 1 Department of Clinical Laboratory, Dalian Central Hospital , Dalian, China
| | - Hui Zhang
- 2 Department of Clinical Laboratory, The Second Affiliated Hospital of Dalian Medical University , Dalian, China
| | - Kun Li
- 3 Department of Laboratory Medicine, College of Medicine, Dalian University , Dalian, China
| | - Ming Shi
- 3 Department of Laboratory Medicine, College of Medicine, Dalian University , Dalian, China
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Nakagawa S, Kuwabara N, Takamatsu Y, Shimoeda S, Ohta S, Yamato S. Detection of cytochrome P450 2C19 gene polymorphism from noninvasive samples by cycling probe technology. Ann Clin Biochem 2013; 51:298-300. [DOI: 10.1177/0004563213499316] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background The proportion of poor metabolizers (PMs) of cytochrome P450 (CYP) 2C19 is much higher in the Japanese population than in European populations. Cycling probe technology (CPT) is a simple signal amplification technique for targeting specific DNA sequences. CPT utilizes a chimeric DNA-RNA-DNA probe that is cleaved by the enzyme ribonuclease (RNase H). In this study, using CPT, we aimed to detect the CYP2C19 gene polymorphism from noninvasive samples to determine extensive metabolizers (EMs) and PMs of CYP2C19. Methods DNA samples were extracted from hair, buccal mucosa, and blood cells. Primers and cycling probes were designed specifically for region G636A for exon 4 and G681A for exon 5, reported to be gene polymorphisms of CYP2C19. Results DNA extracted from hair follicle cells and buccal epithelial cells was the same as that collected from invasive blood sampling. The genotype of CYP2C19 was successfully identified as either EM or PM in 71 samples, producing identical results to those for the TaqMan method, except in three samples. Conclusions We successfully detected the two gene polymorphisms of CYP2C19 from noninvasive samples using a simple DNA extraction method and CPT.
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Affiliation(s)
- Saori Nakagawa
- Department of Bio-analytical Chemistry, Faculty of Pharmaceutical Sciences, Niigata University of Pharmacy and Applied Life Sciences, Niigata, Japan
| | - Naoko Kuwabara
- Department of Bio-analytical Chemistry, Faculty of Pharmaceutical Sciences, Niigata University of Pharmacy and Applied Life Sciences, Niigata, Japan
| | - Yu Takamatsu
- Department of Bio-analytical Chemistry, Faculty of Pharmaceutical Sciences, Niigata University of Pharmacy and Applied Life Sciences, Niigata, Japan
| | - Sadahiko Shimoeda
- Department of Pharmaceutical Health Care and Sciences, Faculty of Pharmaceutical Sciences, Tokyo University of Pharmacy and Life Sciences, Tokyo, Japan
| | - Shin Ohta
- Department of Pharmaceutical Health Care and Sciences, Faculty of Pharmaceutical Sciences, Tokyo University of Pharmacy and Life Sciences, Tokyo, Japan
| | - Susumu Yamato
- Department of Bio-analytical Chemistry, Faculty of Pharmaceutical Sciences, Niigata University of Pharmacy and Applied Life Sciences, Niigata, Japan
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