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Jeyanathan J, Bootland D, Al-Rais A, Leung J, Wijesuriya J, Banks L, Breen T, DeCoverly R, Curtis L, McHenry A, Wright D, Griggs JE, Lyon RM. Lessons learned from the first 50 COVID-19 critical care transfer missions conducted by a civilian UK Helicopter Emergency Medical Service team. Scand J Trauma Resusc Emerg Med 2022; 30:6. [PMID: 35033171 PMCID: PMC8760584 DOI: 10.1186/s13049-022-00994-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2021] [Accepted: 01/04/2022] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND The COVID-19 pandemic has placed exceptional demand on Intensive Care Units, necessitating the critical care transfer of patients on a regional and national scale. Performing these transfers required specialist expertise and involved moving patients over significant distances. Air Ambulance Kent Surrey Sussex created a designated critical care transfer team and was one of the first civilian air ambulances in the United Kingdom to move ventilated COVID-19 patients by air. We describe the practical set up of such a service and the key lessons learned from the first 50 transfers. METHODS Retrospective review of air critical care transfer service set up and case review of first 50 transfers. RESULTS We describe key elements of the critical care transfer service, including coordination and activation; case interrogation; workforce; training; equipment; aircraft modifications; human factors and clinical governance. A total of 50 missions are described between 18 December 2020 and 1 February 2021. 94% of the transfer missions were conducted by road. The mean age of these patients was 58 years (29-83). 30 (60%) were male and 20 (40%) were female. The mean total mission cycle (time of referral until the time team declared free at receiving hospital) was 264 min (range 149-440 min). The mean time spent at the referring hospital prior to leaving for the receiving unit was 72 min (31-158). The mean transfer transit time between referring and receiving units was 72 min (9-182). CONCLUSION Critically ill COVID-19 patients have highly complex medical needs during transport. Critical care transfer of COVID-19-positive patients by civilian HEMS services, including air transfer, can be achieved safely with specific planning, protocols and precautions. Regional planning of COVID-19 critical care transfers is required to optimise the time available of critical care transfer teams.
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Affiliation(s)
- J Jeyanathan
- Air Ambulance Kent Surrey Sussex, Redhill Aerodrome, Redhill, Surrey, RH1 5YP, UK
| | - D Bootland
- Air Ambulance Kent Surrey Sussex, Redhill Aerodrome, Redhill, Surrey, RH1 5YP, UK
| | - A Al-Rais
- Air Ambulance Kent Surrey Sussex, Redhill Aerodrome, Redhill, Surrey, RH1 5YP, UK
| | - J Leung
- Air Ambulance Kent Surrey Sussex, Redhill Aerodrome, Redhill, Surrey, RH1 5YP, UK
| | - J Wijesuriya
- Air Ambulance Kent Surrey Sussex, Redhill Aerodrome, Redhill, Surrey, RH1 5YP, UK
| | - L Banks
- Air Ambulance Kent Surrey Sussex, Redhill Aerodrome, Redhill, Surrey, RH1 5YP, UK
| | - T Breen
- Air Ambulance Kent Surrey Sussex, Redhill Aerodrome, Redhill, Surrey, RH1 5YP, UK
| | - R DeCoverly
- Air Ambulance Kent Surrey Sussex, Redhill Aerodrome, Redhill, Surrey, RH1 5YP, UK
| | - L Curtis
- Air Ambulance Kent Surrey Sussex, Redhill Aerodrome, Redhill, Surrey, RH1 5YP, UK
| | - A McHenry
- Air Ambulance Kent Surrey Sussex, Redhill Aerodrome, Redhill, Surrey, RH1 5YP, UK
| | - D Wright
- Air Ambulance Kent Surrey Sussex, Redhill Aerodrome, Redhill, Surrey, RH1 5YP, UK
| | - J E Griggs
- Air Ambulance Kent Surrey Sussex, Redhill Aerodrome, Redhill, Surrey, RH1 5YP, UK
- University of Surrey, Guildford, UK
| | - R M Lyon
- Air Ambulance Kent Surrey Sussex, Redhill Aerodrome, Redhill, Surrey, RH1 5YP, UK.
- University of Surrey, Guildford, UK.
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Lee ES, McHenry A, Siddon A, Tormey C. Renal allograft rejection with thrombotic microangiopathy associated with a Kidd blood group system alloantibody. Am J Clin Pathol 2021. [DOI: 10.1093/ajcp/aqab191.340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Introduction/Objective
The Kidd blood group antigens are urea transporters found on the surface of red blood cells, renal tubular epithelial cells, and endothelial cells in the renal medulla and vasa recta. While controversial, some reports have described an association between Kidd antigen donor/recipient mismatches and kidney transplant rejection when recipients possess or form anti-Kidd alloantibodies. To date, none of these reports have described development of a thrombotic microangiopathy (TMA) in the renal graft associated with these antibodies. We describe a case of fulminant renal transplant rejection associated with TMA in a patient with anti-Jk(a) alloantibodies who received a deceased-donor kidney transplant (DDKT).
Methods/Case Report
A 64-year-old woman with end-stage renal disease secondary to AL amyloidosis caused by plasma cell neoplasm received a DDKT associated with delayed graft function. No pre- or post-transplant donor specific antibodies (DSA) were detected, the flow crossmatch testing was negative, and a pre-operative type and screen identified anti-Jk(a) alloantibodies. On post-transplant day 5, her creatinine remained elevated at 6 mg/dL (ref range: 0.4–1.3 mg/dL) with an acute drop in platelets and undetectable haptoglobin. Allograft biopsy showed a combination of TMA with some additional evidence of acute cellular rejection. Tacrolimus was stopped to rule out drug-induced TMA, and the workup showed negative Shiga toxin, normal ADAMTS13 activity, negative atypical HUS genetic testing, and negative antiphospholipid syndrome testing. Genotyping of the donor kidney was positive for the Jk(a) antigen. Eculizumab, IVIG, and a trial of 8 sessions of therapeutic plasma exchange (TPE) were administered. Her creatinine improved (1.93–2.05 mg/dL), indicating a significant antibody-mediated etiology to her delayed graft function. About one month later, her creatinine worsened, and she received another trial of TPE with IVIG and eculizumab. Despite a mild decrease in her creatinine, repeat biopsies showed acute cellular rejection, persistent TMA, and chronic allograft injury. No DSAs were ever detected. Her creatinine never recovered, and she is now dialysis-dependent.
Results (if a Case Study enter NA)
NA
Conclusion
We speculate that anti-Jk(a) antibodies interacting with a Jk(a)-positive donor kidney account for graft TMA. This case underscores the potential importance of matching Kidd antigens in kidney transplantation.
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Affiliation(s)
- E S Lee
- Department of Laboratory Medicine, Yale School of Medicine, New Haven, Connecticut, UNITED STATES
| | - A McHenry
- Department of Laboratory Medicine, Yale School of Medicine, New Haven, Connecticut, UNITED STATES
| | - A Siddon
- Department of Laboratory Medicine, Yale School of Medicine, New Haven, Connecticut, UNITED STATES
| | - C Tormey
- Department of Laboratory Medicine, Yale School of Medicine, New Haven, Connecticut, UNITED STATES
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3
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Frangieh M, McHenry A, Phillips R, Ye C, Bernier A, Laffel L, Elyaman W, Bradshaw EM. IL-27: An endogenous constitutive repressor of human monocytes. Clin Immunol 2020; 217:108498. [PMID: 32531345 PMCID: PMC8984538 DOI: 10.1016/j.clim.2020.108498] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Revised: 05/21/2020] [Accepted: 06/07/2020] [Indexed: 12/23/2022]
Abstract
Interleukin (IL)-27 is a pleiotropic cytokine that initially was described as being pro-inflammatory and an inducer of T helper (Th)1 cells. In contrast, it has also been described as an anti-inflammatory cytokine in that it suppresses pro-inflammatory Th17 cells and induces anti-inflammatory IL-10 producing T regulatory (Tr)1 cells. While the majority of studies have been focused on the effects of IL-27 on T cells, human antigen-presenting cells express high levels of the IL-27 receptor ex vivo, in addition to being the major producer of IL-27. We report here that human monocytes are repressed by endogenous IL-27, in that the addition of an anti-IL-27 neutralizing antibody increases the production of pro-inflammatory cytokines ex vivo. We observed that neutralizing monocyte-derived IL-27 leads to increased IL-17A production by CD4+ T cells and a down-regulation of the IL-17 modulating ectonucleotidase CD39 on monocytes. The locus that contains the IL27 gene has been linked to susceptibility for type 1 diabetes (T1D). Interestingly, ex vivo monocytes from subjects with T1D produce more IL-27 suggesting this upregulation of IL-27 acts as a negative feedback loop to attempt to counterbalance the pro-inflammatory immune response in the disease state. In summary, we provide evidence that IL-27 is an endogenous regulator of human monocytes and has consequences on CD4+ T cell phenotype, particularly Th17 cells.
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Affiliation(s)
- Michael Frangieh
- Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Allison McHenry
- Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Roxanne Phillips
- Joslin Diabetes Center, Harvard Medical School, Boston, MA 02215, USA
| | - Chun Ye
- Institute for Human Genetics, University of California San Francisco, CA 94143, USA; Institute of Computational Health Sciences, University of California, San Francisco, San Francisco, CA, USA; Division of Rheumatology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA; Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA; Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Angelina Bernier
- Department of Pediatrics, University of Florida, Gainesville, FL 32611, USA
| | - Lori Laffel
- Joslin Diabetes Center, Harvard Medical School, Boston, MA 02215, USA
| | - Wassim Elyaman
- Department of Neurology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Elizabeth M Bradshaw
- Department of Neurology, Columbia University Irving Medical Center, New York, NY 10032, USA.
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Chapman H, McHenry A, Hibner M, de Souza K. 77: Tips and tricks: Presacral neurectomy. Am J Obstet Gynecol 2020. [DOI: 10.1016/j.ajog.2019.12.226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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5
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Ryan KJ, White CC, Patel K, Xu J, Olah M, Replogle JM, Frangieh M, Cimpean M, Winn P, McHenry A, Kaskow BJ, Chan G, Cuerdon N, Bennett DA, Boyd JD, Imitola J, Elyaman W, De Jager PL, Bradshaw EM. A human microglia-like cellular model for assessing the effects of neurodegenerative disease gene variants. Sci Transl Med 2018; 9:9/421/eaai7635. [PMID: 29263232 DOI: 10.1126/scitranslmed.aai7635] [Citation(s) in RCA: 84] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2016] [Revised: 04/12/2017] [Accepted: 08/18/2017] [Indexed: 12/25/2022]
Abstract
Microglia are emerging as a key cell type in neurodegenerative diseases, yet human microglia are challenging to study in vitro. We developed an in vitro cell model system composed of human monocyte-derived microglia-like (MDMi) cells that recapitulated key aspects of microglia phenotype and function. We then used this model system to perform an expression quantitative trait locus (eQTL) study examining 94 genes from loci associated with Alzheimer's disease, Parkinson's disease, and multiple sclerosis. We found six loci (CD33, PILRB, NUP160, LRRK2, RGS1, and METTL21B) in which the risk haplotype drives the association with both disease susceptibility and altered expression of a nearby gene (cis-eQTL). In the PILRB and LRRK2 loci, the cis-eQTL was found in the MDMi cells but not in human peripheral blood monocytes, suggesting that differentiation of monocytes into microglia-like cells led to the acquisition of a cellular state that could reveal the functional consequences of certain genetic variants. We further validated the effect of risk haplotypes at the protein level for PILRB and CD33, and we confirmed that the CD33 risk haplotype altered phagocytosis by the MDMi cells. We propose that increased LRRK2 gene expression by MDMi cells could be a functional outcome of rs76904798, a single-nucleotide polymorphism in the LRKK2 locus that is associated with Parkinson's disease.
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Affiliation(s)
- Katie J Ryan
- Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.,Program in Translational NeuroPsychiatric Genomics, Institute for the Neurosciences, Departments of Neurology and Psychiatry, Brigham and Women's Hospital, 77 Avenue Louis Pasteur, NRB168, Boston, MA 02115, USA.,Harvard Medical School, Boston, MA 02115, USA.,Program in Medical and Population Genetics, Broad Institute, 7 Cambridge Center, Cambridge, MA 02142, USA
| | - Charles C White
- Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.,Program in Translational NeuroPsychiatric Genomics, Institute for the Neurosciences, Departments of Neurology and Psychiatry, Brigham and Women's Hospital, 77 Avenue Louis Pasteur, NRB168, Boston, MA 02115, USA.,Program in Medical and Population Genetics, Broad Institute, 7 Cambridge Center, Cambridge, MA 02142, USA
| | - Kruti Patel
- Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.,Program in Translational NeuroPsychiatric Genomics, Institute for the Neurosciences, Departments of Neurology and Psychiatry, Brigham and Women's Hospital, 77 Avenue Louis Pasteur, NRB168, Boston, MA 02115, USA.,Harvard Medical School, Boston, MA 02115, USA.,Program in Medical and Population Genetics, Broad Institute, 7 Cambridge Center, Cambridge, MA 02142, USA
| | - Jishu Xu
- Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.,Program in Translational NeuroPsychiatric Genomics, Institute for the Neurosciences, Departments of Neurology and Psychiatry, Brigham and Women's Hospital, 77 Avenue Louis Pasteur, NRB168, Boston, MA 02115, USA.,Program in Medical and Population Genetics, Broad Institute, 7 Cambridge Center, Cambridge, MA 02142, USA
| | - Marta Olah
- Program in Medical and Population Genetics, Broad Institute, 7 Cambridge Center, Cambridge, MA 02142, USA.,Center for Translational and Computational Neuroimmunology, Department of Neurology, Columbia University Medical Center, 630 West 168th Street, New York, NY 10032, USA
| | - Joseph M Replogle
- Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.,Program in Translational NeuroPsychiatric Genomics, Institute for the Neurosciences, Departments of Neurology and Psychiatry, Brigham and Women's Hospital, 77 Avenue Louis Pasteur, NRB168, Boston, MA 02115, USA.,Harvard Medical School, Boston, MA 02115, USA.,Program in Medical and Population Genetics, Broad Institute, 7 Cambridge Center, Cambridge, MA 02142, USA
| | - Michael Frangieh
- Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.,Program in Translational NeuroPsychiatric Genomics, Institute for the Neurosciences, Departments of Neurology and Psychiatry, Brigham and Women's Hospital, 77 Avenue Louis Pasteur, NRB168, Boston, MA 02115, USA.,Program in Medical and Population Genetics, Broad Institute, 7 Cambridge Center, Cambridge, MA 02142, USA
| | - Maria Cimpean
- Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.,Program in Translational NeuroPsychiatric Genomics, Institute for the Neurosciences, Departments of Neurology and Psychiatry, Brigham and Women's Hospital, 77 Avenue Louis Pasteur, NRB168, Boston, MA 02115, USA.,Program in Medical and Population Genetics, Broad Institute, 7 Cambridge Center, Cambridge, MA 02142, USA
| | - Phoebe Winn
- Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.,Program in Translational NeuroPsychiatric Genomics, Institute for the Neurosciences, Departments of Neurology and Psychiatry, Brigham and Women's Hospital, 77 Avenue Louis Pasteur, NRB168, Boston, MA 02115, USA.,Program in Medical and Population Genetics, Broad Institute, 7 Cambridge Center, Cambridge, MA 02142, USA
| | - Allison McHenry
- Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.,Program in Translational NeuroPsychiatric Genomics, Institute for the Neurosciences, Departments of Neurology and Psychiatry, Brigham and Women's Hospital, 77 Avenue Louis Pasteur, NRB168, Boston, MA 02115, USA.,Program in Medical and Population Genetics, Broad Institute, 7 Cambridge Center, Cambridge, MA 02142, USA
| | - Belinda J Kaskow
- Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.,Program in Translational NeuroPsychiatric Genomics, Institute for the Neurosciences, Departments of Neurology and Psychiatry, Brigham and Women's Hospital, 77 Avenue Louis Pasteur, NRB168, Boston, MA 02115, USA.,Harvard Medical School, Boston, MA 02115, USA.,Program in Medical and Population Genetics, Broad Institute, 7 Cambridge Center, Cambridge, MA 02142, USA
| | - Gail Chan
- Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.,Program in Translational NeuroPsychiatric Genomics, Institute for the Neurosciences, Departments of Neurology and Psychiatry, Brigham and Women's Hospital, 77 Avenue Louis Pasteur, NRB168, Boston, MA 02115, USA.,Harvard Medical School, Boston, MA 02115, USA.,Program in Medical and Population Genetics, Broad Institute, 7 Cambridge Center, Cambridge, MA 02142, USA
| | - Nicole Cuerdon
- Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.,Program in Translational NeuroPsychiatric Genomics, Institute for the Neurosciences, Departments of Neurology and Psychiatry, Brigham and Women's Hospital, 77 Avenue Louis Pasteur, NRB168, Boston, MA 02115, USA.,Harvard Medical School, Boston, MA 02115, USA.,Program in Medical and Population Genetics, Broad Institute, 7 Cambridge Center, Cambridge, MA 02142, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL 60612, USA
| | - Justin D Boyd
- Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.,Harvard Medical School, Boston, MA 02115, USA
| | - Jaime Imitola
- Laboratory of Neural Stem Cells and Functional Neurogenetics, Departments of Neurology and Neuroscience, The Ohio State University College of Medicine, 333 West 10th Avenue, Columbus, OH 43210, USA
| | - Wassim Elyaman
- Program in Medical and Population Genetics, Broad Institute, 7 Cambridge Center, Cambridge, MA 02142, USA.,Center for Translational and Computational Neuroimmunology, Department of Neurology, Columbia University Medical Center, 630 West 168th Street, New York, NY 10032, USA
| | - Philip L De Jager
- Program in Medical and Population Genetics, Broad Institute, 7 Cambridge Center, Cambridge, MA 02142, USA.,Center for Translational and Computational Neuroimmunology, Department of Neurology, Columbia University Medical Center, 630 West 168th Street, New York, NY 10032, USA
| | - Elizabeth M Bradshaw
- Program in Medical and Population Genetics, Broad Institute, 7 Cambridge Center, Cambridge, MA 02142, USA. .,Center for Translational and Computational Neuroimmunology, Department of Neurology, Columbia University Medical Center, 630 West 168th Street, New York, NY 10032, USA
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Krol D, Norman M, McHenry A, Stark E, Johnson K, Kaltman RD. Physician survey on utilization of clinical cancer genetics services at an academic institution. J Clin Oncol 2018. [DOI: 10.1200/jco.2018.36.15_suppl.e13507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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7
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Walcott FL, Kaltman RD, Hatcher E, Ha C, Biagi T, Stark E, McHenry A, Barbour A. Adult cancer survivorship referrals for hereditary cancer genetic testing. J Clin Oncol 2018. [DOI: 10.1200/jco.2018.36.7_suppl.183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
183 Background: Genetic testing for hereditary cancer syndromes is underutilized among cancer patients. Cancer survivorship clinics may identify individuals at risk for hereditary cancer. We present the number of referrals from George Washington (GW) Adult Cancer Survivorship Clinic (ACS) to the GW Ruth Paul Hereditary Cancer Program (RPHCP) to demonstrate the feasibility of identifying high risk individuals in cancer survivorship. Methods: We reviewed the number of patients seen at the GW ACS and subsequent referrals to the GW RPHCP for genetic counseling/testing. An IRB approved research registry was used for retrieval of the data. The ACS clinic is staffed by a physician internist trained in clinical cancer genetics and a nurse practitioner trained in cancer survivorship. Results: 261 patients were seen in ACS from January 1, 2016, to September 30, 2017. Twenty patients (7.6%) were referred to RPHCP based on personal/family cancer history. Three patients were not consented for the research registry, leaving a total of 17 patients for this analysis. Fifteen (88.2%) patients were referred by the physician and 2/17 (11.7%) were referred by the nurse practitioner. Sixteen patients had genetic testing (94.1%) and results were: 5/16 (31.2%) positive, 6/16 (37.5%) negative, and 3/16 (18.7%) had a variant of unknown significance (VUS). Results on 2 patients are pending. One patient deferred testing. Of the 17 patients referred, 14/17 (82.3%) had personal/family history of cancer and had seen an oncologist. Cancer sites and germline mutations identified were: bilateral breast cancer and bladder cancer (BRCA2), prostate cancer (MUTYH), breast and ovarian cancer (BRCA1), endometrial cancer (APC). One patient without cancer was referred by an oncologist for a previously identified familial MLH1 mutation, and was positive. Conclusions: Cancer survivorship clinics may identify individuals appropriate for genetic testing for hereditary cancer syndromes. This is likely an underestimate as not all cancer patients are seen in survivorship clinic. Systematic capture of personal and family history of cancer in cancer survivors may enhance utilization of genetic testing services among cancer survivors and identification of high risk individuals.
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Affiliation(s)
| | | | | | - Cam Ha
- George Washington University, District of Colombia, DC
| | - Tara Biagi
- George Washington University, Washington, DC
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Casasanta N, Stark E, McHenry A, Biagi T, Kaltman R. The Perils of Single-Site Genetic Testing for Hereditary Cancer Syndromes in the Era of Next-Generation Sequencing. Oncologist 2018; 23:393-396. [PMID: 29445031 DOI: 10.1634/theoncologist.2017-0372] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2017] [Accepted: 12/07/2017] [Indexed: 11/17/2022] Open
Abstract
A challenge in counseling patients with a family history suggesting a hereditary cancer syndrome is deciding which genetic tests or panels to order. In this article, we discuss the identification of multiple familial mutations through genetic counseling and panel testing. For patients meeting National Comprehensive Cancer Network criteria for clinical genetic testing, providers should consider expanded panels to provide a more complete assessment of one's genetic risk. The continued use of expanded panel testing in the clinical setting will help inform optimal management of cancer patients, as well as the management of their unaffected family members. The mutation discovered in this case was in the ATM gene. The clinical significance of the mutation, potential therapeutic targets, and proper clinical management are discussed. KEY POINTS With single-site genetic testing, there is the potential to miss hereditary genetic syndromes that can be managed clinically.Between 4% and 6% of hereditary breast and ovarian cancer syndromes are caused by genes other than BRCA1 and BRCA2.ATM is a DNA mismatch repair gene associated with double-stranded DNA break repair and cell cycle checkpoint arrest.The risk of developing female breast cancer by age 50 and by age 80 in ATM heterozygotes is 9% and 17%-52%, respectively.
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Affiliation(s)
- Nicole Casasanta
- School of Medicine and Health Sciences, The George Washington University, Washington, DC, USA
| | - Elizabeth Stark
- Medical Faculty Associates, The George Washington University, Washington, DC, USA
| | - Allison McHenry
- Medical Faculty Associates, The George Washington University, Washington, DC, USA
| | - Tara Biagi
- Medical Faculty Associates, The George Washington University, Washington, DC, USA
| | - Rebecca Kaltman
- Medical Faculty Associates, The George Washington University, Washington, DC, USA
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Toltzis S, Casasanta N, Lipinski S, Marino A, McHenry A, Denduluri N, Rodriguez P, Kaltman R. Abstract P1-07-21: Relationship between hereditary cancer syndromes and oncotype DX recurrence score. Cancer Res 2018. [DOI: 10.1158/1538-7445.sabcs17-p1-07-21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background
Oncotype DX Recurrence Score (RS) is used to stratify breast tumors into those likely to respond to cytotoxic chemotherapy. Women and men with hereditary cancers tend to have tumors that are chemosensitive. We hypothesize that a high RS may harbor a signal of potential hereditary risk. This analysis aims to identify whether breast cancer patients with hereditary cancer syndromes have a disproportionate amount of high RS compared to sporadic cases.
Methods
Individuals with a personal history of breast cancer who received treatment at participating research facilities and had hormone receptor positive breast cancer, Oncotype DX testing and hereditary cancer mutation testing were included. Oncotype DX RS was recorded along with the type of genetic testing and the genetic testing results. RS was categorized as low (0-17), intermediate (18-30), and high (31+). Those with deleterious mutations in any known hereditary cancer gene were considered positive. Individuals with a variant of uncertain significance (VUS) or negative genetic testing result were considered negative. Difference in distribution of tumors with low, intermediate, and high Oncotype DX results in those with hereditary breast cancers compared to those with sporadic breast cancers was determined with Chi-square.
Results
419 patients with Oncotype DX testing from two clinical sites were collected from 2013. Of those, 123 underwent genetic risk assessment. Mutations identified included the following genes: BRCA1 (1), BRCA2 (5); CHEK2 (3); BRIP1 (3); NBN (2); MSH6 (1). Of those testing positive for a deleterious mutation, the number of patients with RS results in each category were 5, 4 and 6 for low, intermediate and high, respectively. For those considered negative on hereditary cancer panel testing, the RS results were 76, 52 and 8, respectively. Of those with high RS, 43% had deleterious mutations. Chi square test was statistically significant for a difference between the RS of those with deleterious hereditary mutations versus those with sporadic cancers (p = 0.000086).
Conclusions
High RS may indicate a higher likelihood of harboring a hereditary cancer syndrome. Further investigation with larger numbers and multivariate analysis is needed to validate if a high RS serves as an independent predictor of benefit from genetic counseling and testing.
Citation Format: Toltzis S, Casasanta N, Lipinski S, Marino A, McHenry A, Denduluri N, Rodriguez P, Kaltman R. Relationship between hereditary cancer syndromes and oncotype DX recurrence score [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr P1-07-21.
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Affiliation(s)
- S Toltzis
- GW Cancer Center, Washington, DC; Virginia Cancer Specialists, US Oncology Network, Arlington, VA; University of Pittsburgh Medical Center, Pittsburgh, PA
| | - N Casasanta
- GW Cancer Center, Washington, DC; Virginia Cancer Specialists, US Oncology Network, Arlington, VA; University of Pittsburgh Medical Center, Pittsburgh, PA
| | - S Lipinski
- GW Cancer Center, Washington, DC; Virginia Cancer Specialists, US Oncology Network, Arlington, VA; University of Pittsburgh Medical Center, Pittsburgh, PA
| | - A Marino
- GW Cancer Center, Washington, DC; Virginia Cancer Specialists, US Oncology Network, Arlington, VA; University of Pittsburgh Medical Center, Pittsburgh, PA
| | - A McHenry
- GW Cancer Center, Washington, DC; Virginia Cancer Specialists, US Oncology Network, Arlington, VA; University of Pittsburgh Medical Center, Pittsburgh, PA
| | - N Denduluri
- GW Cancer Center, Washington, DC; Virginia Cancer Specialists, US Oncology Network, Arlington, VA; University of Pittsburgh Medical Center, Pittsburgh, PA
| | - P Rodriguez
- GW Cancer Center, Washington, DC; Virginia Cancer Specialists, US Oncology Network, Arlington, VA; University of Pittsburgh Medical Center, Pittsburgh, PA
| | - R Kaltman
- GW Cancer Center, Washington, DC; Virginia Cancer Specialists, US Oncology Network, Arlington, VA; University of Pittsburgh Medical Center, Pittsburgh, PA
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Marks D, McHenry A, Biagi T, Stark E, Borum M, Lin P, Kaltman R. A Life Potentially Saved Through Hereditary Cancer Panel Testing. J Oncol Pract 2017; 13:279-281. [DOI: 10.1200/jop.2016.016170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Affiliation(s)
- Dustin Marks
- The George Washington University School of Medicine and Health Sciences; The George Washington University Medical Faculty Associates, Washington, DC
| | - Allison McHenry
- The George Washington University School of Medicine and Health Sciences; The George Washington University Medical Faculty Associates, Washington, DC
| | - Tara Biagi
- The George Washington University School of Medicine and Health Sciences; The George Washington University Medical Faculty Associates, Washington, DC
| | - Elizabeth Stark
- The George Washington University School of Medicine and Health Sciences; The George Washington University Medical Faculty Associates, Washington, DC
| | - Marie Borum
- The George Washington University School of Medicine and Health Sciences; The George Washington University Medical Faculty Associates, Washington, DC
| | - Paul Lin
- The George Washington University School of Medicine and Health Sciences; The George Washington University Medical Faculty Associates, Washington, DC
| | - Rebecca Kaltman
- The George Washington University School of Medicine and Health Sciences; The George Washington University Medical Faculty Associates, Washington, DC
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Toltzis S, McHenry A, Stark E, Biagi T, Kaltman R. Abstract P3-08-09: Social media's impact on patient utilization of high-risk clinics for genetic counseling and testing services. Cancer Res 2017. [DOI: 10.1158/1538-7445.sabcs16-p3-08-09] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: The availability and variety of cancer genetic testing services have grown tremendously in past years; testing services now offer panels that analyze more than 75 cancer susceptibility genes with results available in just weeks. Engaging the high-risk population in conversations regarding the importance of hereditary cancer screening is a prerequisite to initiating genetic testing and appropriate cancer surveillance. It has been shown that population awareness of cancer genetic testing has increased, but few studies have explored factors that contribute to actual uptake of these services.
Methods: A 36-question research survey was adapted from Cycle 3 of the 2014 Health Information National Trends Survey by NCI and distributed online to patients who received genetic counseling at the Ruth Paul Hereditary Cancer Program at the George Washington University Medical Faculty Associates. All patients who presented to the clinic, including those with and without cancer diagnoses, were invited to complete the survey. The survey was divided into four sections: (1) how the patient usually seeks health information, (2) how the patient has used media and the internet to understand cancer genetics, (3) how often the patient visits health professionals, and (4) why the patient pursued testing at the high-risk clinic.
Results: Forty-five out of 68 consented individuals completed the online survey. Most patients searched the internet regarding genetic testing in the past (64% vs. 36% who did not) but felt that they learned the most about cancer genetic testing through their health care provider and their family members/friends (49% and 35%, respectively). Though most patients access social networking sites (78%), only 4% shared information and 11% received information regarding cancer genetic testing through one of these sites. Most patients (65%) felt that information obtained from social media regarding cancer genetic testing had no impact on their decision to make an appointment. One-third of respondents (33%) felt that Angelina Jolie's decision to have prophylactic surgery for her known mutation encouraged them to make an appointment while 53% felt it had no impact on their decision. Most patients received a referral from their healthcare providers (91%) to have genetic testing, though 48% of those patients had to ask their doctor about genetic testing before receiving the referral.
Conclusions: Many patients use social media and internet resources for education regarding cancer genetic testing. However, most individuals sought genetic counseling services in our Hereditary Cancer Program after discussion with their health care providers. Half of those patients were only referred after raising the topic with their provider. While online resources can raise awareness and educate about cancer genetic counseling, improving uptake and utilization of these critical resources will require education of health care providers.
Citation Format: Toltzis S, McHenry A, Stark E, Biagi T, Kaltman R. Social media's impact on patient utilization of high-risk clinics for genetic counseling and testing services [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr P3-08-09.
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Affiliation(s)
- S Toltzis
- George Washington University, Washington, DC
| | - A McHenry
- George Washington University, Washington, DC
| | - E Stark
- George Washington University, Washington, DC
| | - T Biagi
- George Washington University, Washington, DC
| | - R Kaltman
- George Washington University, Washington, DC
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Bove R, McHenry A, Hellwig K, Houtchens M, Razaz N, Smyth P, Tremlett H, Sadovnick AD, Rintell D. Multiple sclerosis in men: management considerations. J Neurol 2016; 263:1263-73. [DOI: 10.1007/s00415-015-8005-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2015] [Revised: 12/16/2015] [Accepted: 12/17/2015] [Indexed: 01/28/2023]
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McHenry A, Evans BG, Sinka K, Shaheem Z, Macdonald N, De Angelis D. Numbers of adults with diagnosed HIV infection 1996-2005--adjusted totals and extrapolations for England, Wales and Northern Ireland. Commun Dis Public Health 2002; 5:97-100. [PMID: 12166316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/26/2023]
Abstract
Using data from the annual surveys of individuals receiving HIV related treatment or other care from 1996 to 2000, trends in prevalent numbers of diagnosed HIV infections have been extrapolated to the years 2001-05. Results show that the adjusted prevalent number for 1996 was 14,205 and that this has increased by 62% by the end of 2000, and will have increased by 139% by the end of 2005. The drivers for this increase have been the sustained rise in diagnoses in infections heterosexually acquired in sub-Saharan Africa and the continuing numbers of new diagnoses in men who have sex with men.
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Affiliation(s)
- A McHenry
- PHLS Communicable Disease Surveillance Centre, 61 Colindale Avenue, London NW9 5EQ
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White J, O'Brien S, Fisher I, Ward L, Fenton K, McHenry A, Thomas B, Hawker J. Quarterly communicable disease review. October to December 2000--from the PHLS Communicable Diseases Surveillance Centre. J Public Health Med 2001; 23:159-63. [PMID: 11450934 DOI: 10.1093/pubmed/23.2.159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
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McHenry A, Macdonald N, Sinka K, Mortimer J, Evans B. National assessment of prevalent diagnosed HIV infections. Commun Dis Public Health 2000; 3:277-81. [PMID: 11280259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/19/2023]
Abstract
HIV infection is associated with high treatment and care costs and subject to large differences in prevalence between health districts. Equitable distribution of resources requires information provided by an annual national survey of prevalent diagnosed HIV infections (SOPHID). This measures HIV caseloads by health district of residence throughout England, Wales, and Northern Ireland and is used to inform local public health professionals and to improve allocation of government funding for HIV prevention and care. Survey totals are adjusted by underreporting and non-attendance factors to produce a more accurate assessment of the total caseloads. On average the combined adjustments increase the reported caseload by 14.7% annually. Adjusted prevalence estimates ranged from 14,164 in 1995 to 18,460 in 1998, an increase of 30%.
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Affiliation(s)
- A McHenry
- HIV and STI Division, PHLS Communicable Disease Surveillance Centre, 61 Colindale Avenue, London NW9 5EO.
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Wood FB, McHenry A. Concerning codification of Medical Practice Act. Cal West Med 1936; 45:445. [PMID: 18743869 PMCID: PMC1761332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Subscribe] [Scholar Register] [Indexed: 05/26/2023]
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