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Lubitz MG, Latario L, Ogbeide-Latario O, Hughes K, Clegg S, Molla V, Brown M, Busconi B, DeAngelis N. Access to an Educational Video Preoperatively Has No Effect on Postoperative Opioid Use After Arthroscopic Partial Meniscectomy of the Knee: A Prospective Cohort Study. Arthrosc Sports Med Rehabil 2024; 6:100885. [PMID: 38434603 PMCID: PMC10909595 DOI: 10.1016/j.asmr.2024.100885] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 12/30/2023] [Indexed: 03/05/2024] Open
Abstract
Purpose To determine whether access to a website with an educational video would decrease postoperative opioid use in patients undergoing arthroscopic partial meniscectomy. Methods Enrolled patients who underwent arthroscopic partial meniscectomy at a single center were randomized to either the intervention or control group prior to surgery. The intervention group received a card with access to an online educational video regarding opioids with their postoperative instructions; the control group did not. The online video was just over 5 minutes long and contained general information about the dangers of opioid use, how to safely dispose of unused opioids, and local support contact information. Data were collected by telephone 10 to 14 days postoperatively and analyzed with GraphPad Prism version 9.5.0. Patient characteristics including age, sex, body mass index, allergies, smoking, depression, alcohol abuse, American Society of Anesthesiologists level, diagnosis of chronic obstructive pulmonary disease, hypertension, diabetes, substance abuse, employment status, workers' compensation, and sports participation were analyzed and correlated with postoperative opioid use. Results A total of 166 patients were included in this study, with 78 in the control group and 88 in the intervention group. Mean number of pills consumed was 3 in the control group and 2.2 in the intervention group. This difference did not reach statistical significance. Patients who were obese, smokers, or diagnosed with depression both consumed more opioids and were less likely to take no narcotics postoperatively. Patients who participated in sports consumed fewer total opioids on average than those who did not. Subgroup analysis of patients with higher risk factors did not show a difference between the control and intervention groups in the average amount of opioid used or the likelihood of using no narcotics. Among all patients, 82 (49%) used no narcotics postoperatively and 90% used 8 or fewer tablets. Conclusions Directing patients to an educational website and video is not an effective tool in decreasing opioid consumption. Patients undergoing arthroscopic meniscectomy who are obese, active smokers, and clinically depressed or do not participate in sports are likely to use more postoperative narcotics. Regardless of access to the online educational video, half of patients used no narcotics. Level of Evidence Level II, prospective cohort.
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Affiliation(s)
- Marc G. Lubitz
- Department of Orthopedics and Physical Rehabilitation, University of Massachusetts Chan, School of Medicine, Worcester, Massachusetts, U.S.A
| | - Luke Latario
- Department of Orthopedics and Physical Rehabilitation, University of Massachusetts Chan, School of Medicine, Worcester, Massachusetts, U.S.A
| | - Oghomwen Ogbeide-Latario
- University of Massachusetts Chan Medical Science Training Program, Worcester, Massachusetts, U.S.A
| | - Kevin Hughes
- Department of Orthopedics and Physical Rehabilitation, University of Massachusetts Chan, School of Medicine, Worcester, Massachusetts, U.S.A
| | - Stephanie Clegg
- Department of Orthopedics and Physical Rehabilitation, University of Massachusetts Chan, School of Medicine, Worcester, Massachusetts, U.S.A
| | - Vadim Molla
- Department of Orthopedics and Physical Rehabilitation, University of Massachusetts Chan, School of Medicine, Worcester, Massachusetts, U.S.A
| | - Michael Brown
- Department of Orthopedics and Physical Rehabilitation, University of Massachusetts Chan, School of Medicine, Worcester, Massachusetts, U.S.A
| | - Brian Busconi
- Department of Orthopedics and Physical Rehabilitation, University of Massachusetts Chan, School of Medicine, Worcester, Massachusetts, U.S.A
| | - Nicola DeAngelis
- Department of Orthopedics and Physical Rehabilitation, University of Massachusetts Chan, School of Medicine, Worcester, Massachusetts, U.S.A
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Allen CG, Donahue C, Coen E, Meeder K, Wallace K, Melvin C, Neelon B, Hughes K. Implementation Mapping for Managing Patients at High Risk for Hereditary Cancer. Am J Prev Med 2024; 66:503-515. [PMID: 37806365 PMCID: PMC10922485 DOI: 10.1016/j.amepre.2023.09.032] [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] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 09/29/2023] [Accepted: 09/29/2023] [Indexed: 10/10/2023]
Abstract
INTRODUCTION Currently, no standard workflow exists for managing patients with pathogenic variants that put them at higher risk for hereditary cancers. Therefore, follow-up care for individuals with pathogenic variants is logistically challenging and results in poor guideline adherence. To address this challenge, authors created clinical management strategies for individuals identified at high risk for hereditary cancers. METHODS An implementation mapping approach was used to develop and evaluate the establishment of a Hereditary Cancer Clinic at the Medical University of South Carolina throughout in 2022. This approach consisted of 5 steps: conduct a needs assessment, identify objectives, select implementation strategies, produce implementation protocols, and develop an evaluation plan. The needs assessment consisted of qualitative interviews with patients (n=11), specialists (n=9), and members of the implementation team (n=4). Interviews were coded using the Consolidated Framework for Implementation Research to identify barriers and facilitators to establishment of the Hereditary Cancer Clinic. Objectives were identified, and then the team selected implementation strategies and produced implementation protocols to address concerns identified during the needs assessment. Authors conducted a second round of patient interviews to assess patient education materials. RESULTS The research team developed a long-term evaluation plan to guide future assessment of implementation, service, and clinical/patient outcomes. CONCLUSIONS This approach provides the opportunity for real-time enhancements and impact, with strategies for care specialists, patients, and implementation teams. Findings support ongoing efforts to improve patient management and outcomes while providing an opportunity for long-term evaluation of implementation strategies and guidelines for patients at high risk for hereditary cancers.
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Affiliation(s)
- Caitlin G Allen
- Department of Public Health Sciences, College of Medicine, Medical University of South Carolina, Charleston, South Carolina.
| | - Colleen Donahue
- Department of Surgery, College of Medicine, Medical University of South Carolina, Charleston, South Carolina
| | - Emma Coen
- Department of Public Health Sciences, College of Medicine, Medical University of South Carolina, Charleston, South Carolina
| | - Kiersten Meeder
- Division of Oncologic and Endocrine Surgery, College of Medicine, Medical University of South Carolina, Charleston, South Carolina
| | - Kristin Wallace
- Department of Public Health Sciences, College of Medicine, Medical University of South Carolina, Charleston, South Carolina
| | - Cathy Melvin
- Department of Public Health Sciences, College of Medicine, Medical University of South Carolina, Charleston, South Carolina
| | - Brian Neelon
- Department of Public Health Sciences, College of Medicine, Medical University of South Carolina, Charleston, South Carolina
| | - Kevin Hughes
- Department of Public Health Sciences, College of Medicine, Medical University of South Carolina, Charleston, South Carolina
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Coyle L, Gallagher C, Graney N, Kukla L, Paliga R, Hughes K, Schultz K, Schuldt A, Sulemanjee N, Joshi A, Macaluso G, Pauwaa S, Pillarella J, Sciamanna C, Monaco J, Kabbany M, Cotts W, Narang N, Pappas P, Tatooles A, Chau V. Multicenter Analysis of Outcomes in Non-Trial versus Trial-Like Patients with Commercial Heartmate 3 LVAD. J Heart Lung Transplant 2023. [DOI: 10.1016/j.healun.2023.02.196] [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: 04/05/2023] Open
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Harrison JM, Yala A, Mikhael P, Roldan J, Ciprani D, Michelakos T, Bolm L, Qadan M, Ferrone C, Fernandez-Del Castillo C, Lillemoe KD, Santus E, Hughes K. Successful Development of a Natural Language Processing Algorithm for Pancreatic Neoplasms and Associated Histologic Features. Pancreas 2023; 52:e219-e223. [PMID: 37716007 DOI: 10.1097/mpa.0000000000002242] [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] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/18/2023]
Abstract
OBJECTIVES Natural language processing (NLP) algorithms can interpret unstructured text for commonly used terms and phrases. Pancreatic pathologies are diverse and include benign and malignant entities with associated histologic features. Creating a pancreas NLP algorithm can aid in electronic health record coding as well as large database creation and curation. METHODS Text-based pancreatic anatomic and cytopathologic reports for pancreatic cancer, pancreatic ductal adenocarcinoma, neuroendocrine tumor, intraductal papillary neoplasm, tumor dysplasia, and suspicious findings were collected. This dataset was split 80/20 for model training and development. A separate set was held out for testing purposes. We trained using convolutional neural network to predict each heading. RESULTS Over 14,000 reports were obtained from the Mass General Brigham Healthcare System electronic record. Of these, 1252 reports were used for algorithm development. Final accuracy and F1 scores relative to the test set ranged from 95% and 98% for each queried pathology. To understand the dependence of our results to training set size, we also generated learning curves. Scoring metrics improved as more reports were submitted for training; however, some queries had high index performance. CONCLUSIONS Natural language processing algorithms can be used for pancreatic pathologies. Increased training volume, nonoverlapping terminology, and conserved text structure improve NLP algorithm performance.
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Affiliation(s)
- Jon Michael Harrison
- From the Department of GI and General Surgery, Massachusetts General Hospital, Boston
| | - Adam Yala
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Mass
| | - Peter Mikhael
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Mass
| | - Jorge Roldan
- From the Department of GI and General Surgery, Massachusetts General Hospital, Boston
| | - Debora Ciprani
- From the Department of GI and General Surgery, Massachusetts General Hospital, Boston
| | - Theodoros Michelakos
- From the Department of GI and General Surgery, Massachusetts General Hospital, Boston
| | - Louisa Bolm
- From the Department of GI and General Surgery, Massachusetts General Hospital, Boston
| | - Motaz Qadan
- From the Department of GI and General Surgery, Massachusetts General Hospital, Boston
| | - Cristina Ferrone
- From the Department of GI and General Surgery, Massachusetts General Hospital, Boston
| | | | | | - Enrico Santus
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Mass
| | - Kevin Hughes
- From the Department of GI and General Surgery, Massachusetts General Hospital, Boston
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Acevedo F, Walbaum B, Camus M, Manzor M, Muñiz S, Medina L, Petric M, Reyes P, Domínguez F, Puschel K, Merino T, Bravo ML, Pinto MP, Ibáñez C, Hughes K, Sánchez C. Access disparities and underutilization of germline genetic testing in Chilean breast cancer patients. Breast Cancer Res Treat 2023; 199:363-370. [PMID: 36988750 DOI: 10.1007/s10549-023-06909-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 03/04/2023] [Indexed: 03/30/2023]
Abstract
PURPOSE Latin American reports on genetic cancer risk assessments are scarce. In Chile, current breast cancer (BC) guidelines do not define strategies for germline genetic testing. Our study sought to quantify the disparities in access to genetic testing in Chilean BC patients, according to international standards and their clinical characteristics to explore improvement strategies. METHODS Retrospective analysis of invasive BC databases including patients treated in a Public Hospital (PH) and in an Academic Private Center (AC) in Santiago, Chile between 2012 and 2021. RESULTS Of 5438 BC patients, 3955 had enough data for National Comprehensive Cancer Network (NCCN) categorization. From these, 1911 (48.3%) fulfilled NCCN criteria for germline testing, of whom, 300 were tested for germline mutations and 268 with multigene panels. A total of 65 pathogenic variants were found in this subset. As expected, BRCA1/2 mutations were the most frequent (17.7%). Access to genetic testing was higher in AC versus PH (19.6% vs. 10.3%, p = 0.0001). Other variables associated with germline genetic testing were BC diagnosis after 2018, being 45 years old or younger at diagnosis, BC family history (FH), FH of ovarian cancer, non-metastatic disease, and triple-negative subtype. CONCLUSION In our cohort, 15% of BC patients who met NCCN criteria for germline testing were effectively tested. This percentage was even lower at the PH. Current recommendations encourage universal genetic testing for BC patients; however, our findings suggest that Chile is far from reaching such a goal and national guidelines in this regard are urgently needed. To our knowledge, this is the first study of its kind in Chile and Latin America.
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Affiliation(s)
- Francisco Acevedo
- Departamento de Hematología-Oncología, Facultad de Medicina, Pontificia Universidad Católica de Chile, Diagonal Paraguay 362, 8330077, Santiago, Chile
- Fundación Chile Sin Cáncer, Santiago, Chile
| | - Benjamín Walbaum
- Departamento de Hematología-Oncología, Facultad de Medicina, Pontificia Universidad Católica de Chile, Diagonal Paraguay 362, 8330077, Santiago, Chile
- Fundación Chile Sin Cáncer, Santiago, Chile
| | - Mauricio Camus
- Departamento de Cirugía Oncológica, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Manuel Manzor
- Cirugía Oncológica, Hospital Dr. Sótero del Río, Santiago, Chile
| | - Sabrina Muñiz
- Departamento de Hematología-Oncología, Facultad de Medicina, Pontificia Universidad Católica de Chile, Diagonal Paraguay 362, 8330077, Santiago, Chile
| | - Lidia Medina
- Centro de Cáncer, Red de Salud UC Christus, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Militza Petric
- Cirugía Oncológica, Hospital Gustavo Fricke, Valparaíso, Chile
| | - Paula Reyes
- Departamento de Hematología-Oncología, Facultad de Medicina, Pontificia Universidad Católica de Chile, Diagonal Paraguay 362, 8330077, Santiago, Chile
| | - Francisco Domínguez
- Departamento de Cirugía Oncológica, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Klaus Puschel
- Departamento de Medicina Familiar, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Tomas Merino
- Departamento de Hematología-Oncología, Facultad de Medicina, Pontificia Universidad Católica de Chile, Diagonal Paraguay 362, 8330077, Santiago, Chile
| | - M Loreto Bravo
- Support Team for Oncological Research and Medicine (STORM), Providencia, Santiago, Chile
| | - Mauricio P Pinto
- Support Team for Oncological Research and Medicine (STORM), Providencia, Santiago, Chile
| | - Carolina Ibáñez
- Departamento de Hematología-Oncología, Facultad de Medicina, Pontificia Universidad Católica de Chile, Diagonal Paraguay 362, 8330077, Santiago, Chile
| | - Kevin Hughes
- Division of Oncologic & Endocrine Surgery, Medical University of South Carolina, Charleston, SC, USA
| | - César Sánchez
- Departamento de Hematología-Oncología, Facultad de Medicina, Pontificia Universidad Católica de Chile, Diagonal Paraguay 362, 8330077, Santiago, Chile.
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Teasdale A, Hughes K. Regulatory Highlights. Org Process Res Dev 2023. [DOI: 10.1021/acs.oprd.3c00055] [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: 03/06/2023]
Affiliation(s)
- Andrew Teasdale
- Chemical Development, Pharmaceutical Technology & Development, Operations, AstraZeneca, Macclesfield SK10 2NA, United Kingdom
- Regulatory Affairs and QA Manager, Colorcon Limited, Victory Way, Dartford Kent DA2 6QD, United Kingdom
| | - Kevin Hughes
- Chemical Development, Pharmaceutical Technology & Development, Operations, AstraZeneca, Macclesfield SK10 2NA, United Kingdom
- Regulatory Affairs and QA Manager, Colorcon Limited, Victory Way, Dartford Kent DA2 6QD, United Kingdom
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Suthar PP, Hughes K, Mafraji M, Dua SG. Correlation between Sagittal Angle of the Trigeminal Nerve and the Grade of Neurovascular Conflict. AJNR Am J Neuroradiol 2023; 44:E18-E19. [PMID: 36822827 PMCID: PMC10187803 DOI: 10.3174/ajnr.a7751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2023]
Affiliation(s)
- P P Suthar
- Department of Diagnostic Radiology and Nuclear MedicineRush University Medical CenterChicago, Illinois
| | - K Hughes
- Department of Diagnostic Radiology and Nuclear MedicineRush University Medical CenterChicago, Illinois
| | - M Mafraji
- Department of Diagnostic Radiology and Nuclear MedicineRush University Medical CenterChicago, Illinois
| | - S G Dua
- Department of Diagnostic Radiology and Nuclear MedicineRush University Medical CenterChicago, Illinois
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Hosseini S, Acar A, Sen M, Meeder K, Singh P, Yin K, Sutton JM, Hughes K. Penetrance of Gastric Adenocarcinoma Susceptibility Genes: A Systematic Review. Ann Surg Oncol 2023; 30:1795-1807. [PMID: 36528743 DOI: 10.1245/s10434-022-12829-x] [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] [Received: 10/03/2022] [Accepted: 11/01/2022] [Indexed: 12/23/2022]
Abstract
BACKGROUND Gastric adenocarcinoma (GAC) is the fifth most common cancer in the world, and the presence of germline pathogenic variants has been linked with approximately 5% of gastric cancer diagnoses. Multiple GAC susceptibility genes have been identified, but information regarding the risk associated with pathogenic variants in these genes remains obscure. We conducted a systematic review of existing studies reporting the penetrance of GAC susceptibility genes. METHODS A structured search query was devised to identify GAC-related papers indexed in MEDLINE/PubMed. A semi-automated natural language processing algorithm was applied to identify penetrance papers for inclusion. Original studies reporting the penetrance of GAC were included and the full-text articles were independently reviewed. Summary statistics, effect estimates, and precision parameters from these studies were compiled into a table using a predetermined format to ensure consistency. RESULTS Forty-five studies were identified reporting the penetrance of GAC among patients harboring mutations in 13 different genes: APC, ATM, BRCA1, BRCA2, CDH1, CHEK2, MLH1, MSH2, MSH6, PMS2, MUTYH-Monoallelic, NBN, and STK11. CONCLUSION Our systematic review highlights the importance of testing for germline pathogenic variants in patients before the development of GAC. Management of patients who harbor a pathogenic mutation is multifactorial, and clinicians should consider cancer risk for each applicable gene-cancer association throughout the screening and management process. The scarcity of studies we found investigating the risk of GAC among patients with pathogenic variants in GAC susceptibility genes highlights the need for more investigations that focus on producing robust risk estimates for gene-cancer associations.
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Affiliation(s)
- Sahar Hosseini
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Ahmet Acar
- Department of Emergency, Avrupa Hospital, Istanbul, Turkey
| | - Meghdeep Sen
- College of Medicine, American University of Antigua, Coolidge, Antigua, Antigua and Barbuda
| | - Kiersten Meeder
- Division of Oncologic and Endocrine Surgery, Department of Surgery, Medical University of South Carolina, Charleston, SC, USA
| | - Preeti Singh
- Department of Surgery, Montefiore Medical Center, Bronx, NY, USA
| | - Kanhua Yin
- Department of Surgery, Washington University School of Medicine, St Louis, MO, USA
| | - Jeffrey M Sutton
- Division of Oncologic and Endocrine Surgery, Department of Surgery, Medical University of South Carolina, Charleston, SC, USA
| | - Kevin Hughes
- Division of Oncologic and Endocrine Surgery, Department of Surgery, Medical University of South Carolina, Charleston, SC, USA.
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Guan Z, Huang T, McCarthy AM, Hughes K, Semine A, Uno H, Trippa L, Parmigiani G, Braun D. Combining Breast Cancer Risk Prediction Models. Cancers (Basel) 2023; 15:1090. [PMID: 36831433 PMCID: PMC9953824 DOI: 10.3390/cancers15041090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 01/31/2023] [Accepted: 02/02/2023] [Indexed: 02/11/2023] Open
Abstract
Accurate risk stratification is key to reducing cancer morbidity through targeted screening and preventative interventions. Multiple breast cancer risk prediction models are used in clinical practice, and often provide a range of different predictions for the same patient. Integrating information from different models may improve the accuracy of predictions, which would be valuable for both clinicians and patients. BRCAPRO is a widely used model that predicts breast cancer risk based on detailed family history information. A major limitation of this model is that it does not consider non-genetic risk factors. To address this limitation, we expand BRCAPRO by combining it with another popular existing model, BCRAT (i.e., Gail), which uses a largely complementary set of risk factors, most of them non-genetic. We consider two approaches for combining BRCAPRO and BCRAT: (1) modifying the penetrance (age-specific probability of developing cancer given genotype) functions in BRCAPRO using relative hazard estimates from BCRAT, and (2) training an ensemble model that takes BRCAPRO and BCRAT predictions as input. Using both simulated data and data from Newton-Wellesley Hospital and the Cancer Genetics Network, we show that the combination models are able to achieve performance gains over both BRCAPRO and BCRAT. In the Cancer Genetics Network cohort, we show that the proposed BRCAPRO + BCRAT penetrance modification model performs comparably to IBIS, an existing model that combines detailed family history with non-genetic risk factors.
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Affiliation(s)
- Zoe Guan
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10017, USA
| | | | - Anne Marie McCarthy
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Kevin Hughes
- Department of Surgery, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Alan Semine
- Advanced Image Enhancement, Fall River, MA 02720, USA
| | - Hajime Uno
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA 02115, USA
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Lorenzo Trippa
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA 02115, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Giovanni Parmigiani
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA 02115, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Danielle Braun
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA 02115, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
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Bergomi V, Beck S, Dobromylskyj M, Davison LJ, Wills JW, Hughes K. Insulin expression in β cells is reduced within islets before islet loss in diabetic cats. J Small Anim Pract 2022; 63:809-815. [PMID: 35986507 DOI: 10.1111/jsap.13541] [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] [Received: 12/03/2021] [Revised: 05/02/2022] [Accepted: 07/07/2022] [Indexed: 01/07/2023]
Abstract
OBJECTIVES Diabetes mellitus is a common condition that requires intensive treatment and markedly impacts the welfare of affected cats. The aim of this study was to identify diabetes mellitus-associated perturbations in the feline pancreatic islet microenvironment. The utility of "clear, unobstructed brain/body imaging cocktails and computational analysis" (CUBIC) for three-dimensional pancreatic analysis was investigated. METHODS Formalin-fixed paraffin-embedded tissues from cats with diabetes mellitus, or control cats without pancreatic pathology, were retrospectively identified. Immunohistochemistry for synaptophysin and ionised calcium binding adaptor molecule 1, and immunofluorescence for insulin and synaptophysin, were used to assess changes in islets. An image analysis pipeline was developed to analyse images acquired from two-dimensional immunofluorescence. CUBIC was used to optically clear selected pancreas samples before immunofluorescence and deep three-dimensional confocal microscopy. RESULTS Diabetic cats have a significant reduction in synaptophysin-positive islet area. Whilst islets from diabetic patients have similar numbers of β cells to islets from control cats, significantly lower intensity of insulin expression can be observed in the former. CUBIC facilitates clear visualisation of pancreatic islets in three dimensions. CLINICAL SIGNIFICANCE The data presented support the theory that there is a decrease in function of β cells before their destruction, suggesting a potentially significant step in the pathogenesis of feline diabetes mellitus. In parallel, we demonstrate CUBIC as a valuable new tool to visualise the shape of feline pancreatic islets and to interrogate pathology occurring in the islets of diabetic pets.
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Affiliation(s)
- V Bergomi
- Department of Veterinary Medicine, University of Cambridge, Cambridge, CB3 0ES, UK.,Mercer & Hughes Veterinary Surgeons, Saffron Walden, CB11 3JB, UK
| | - S Beck
- VPG Histology, Horner Court, Bristol, BS7 0BJ, UK.,Independent Anatomic Pathology Ltd, Bath, UK
| | | | - L J Davison
- Department of Clinical Sciences and Services, Royal Veterinary College, Hatfield, UK.,Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - J W Wills
- Department of Veterinary Medicine, University of Cambridge, Cambridge, CB3 0ES, UK
| | - K Hughes
- Department of Veterinary Medicine, University of Cambridge, Cambridge, CB3 0ES, UK
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Whitworth PW, Beitsch PD, Patel R, Rosen B, Compagnoni G, Baron PL, Simmons R, Brown EA, Gold L, Holmes D, Smith LA, Kinney M, Grady I, Clark P, Barbosa K, Lyons S, Riley L, Coomer C, Curcio L, Ruiz A, Khan S, MacDonald H, Hughes K, Hardwick MK, Heald B, Munro SB, Nielsen SM, Esplin ED. Clinical Utility of Universal Germline Genetic Testing for Patients With Breast Cancer. JAMA Netw Open 2022; 5:e2232787. [PMID: 36136330 PMCID: PMC9500554 DOI: 10.1001/jamanetworkopen.2022.32787] [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] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
IMPORTANCE National Comprehensive Cancer Network guidelines currently recommend germline testing for high-risk genes in selected patients with breast cancer. The clinical utility of recommending testing all patients with breast cancer with multigene panels is currently under consideration. OBJECTIVE To examine the implications of universal testing of patients with breast cancer with respect to clinical decision-making. DESIGN, SETTING, AND PARTICIPANTS Patients from a previously reported cohort were assessed as in-criteria or out-of-criteria according to the 2017 guidelines and underwent testing with a multigene germline panel between 2017 to 2018. Patients were women and men aged 18 to 90 years, with a new and/or previous diagnosis of breast cancer who had not undergone either single or multigene testing. Clinicians from 20 community and academic sites documented patient clinical information and changes to clinical recommendations made according to test findings. Association between prevalence of pathogenic or likely pathogenic germline variants and previously unreported clinical features, including scores generated by the BRCAPRO statistical model, was determined. Data were analyzed from April 2020 to May 2022. EXPOSURE New and/or previous diagnosis of breast cancer. MAIN OUTCOMES AND MEASURES Disease management recommendations that were changed as a result of genetic testing results are reported. RESULTS Clinicians were asked to assess changes to clinical management as a result of germline genetic testing for 952 patients. Informative clinician-reported recommendations were provided for 939 (467 in-criteria and 472 out-of-criteria) of the patients with breast cancer (936 [99.7%] female; 702 [74.8%] White; mean [SD] age at initial diagnosis, 57.6 [11.5] years). One or more changes were reported for 31 of 37 (83.8%) in-criteria patients and 23 of 34 (67.6%) out-of-criteria patients with a pathogenic or likely pathogenic variant. Recommendations were changed as a result of testing results for 14 of 22 (63.6%) out-of-criteria patients who had a variant in a breast cancer predisposition gene. Clinicians considered testing beneficial for two-thirds of patients with pathogenic or likely pathogenic variants and for one-third of patients with either negative results or variants of uncertain significance. There was no difference in variant rate between patients meeting the BRCAPRO threshold (≥10%) and those who did not (P = .86, Fisher exact test). No changes to clinical recommendations were made for most patients with negative results (345 of 349 patients [98.9%]) or variants of uncertain significance (492 of 509 patients [96.7%]). CONCLUSIONS AND RELEVANCE In this cohort study, germline genetic testing was used by clinicians to direct treatment for most out-of-criteria patients with breast cancer with pathogenic or likely pathogenic germline variants, including those with moderate-risk variants. Universal germline testing informs clinical decision-making and provides access to targeted treatments and clinical trials for all patients with breast cancer.
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Affiliation(s)
- Pat W. Whitworth
- Nashville Breast Center, Nashville, Tennesee
- TME Breast Care Network, Dallas, Texas
| | - Peter D. Beitsch
- TME Breast Care Network, Dallas, Texas
- Invitae, San Francisco, California
| | - Rakesh Patel
- TME Breast Care Network, Dallas, Texas
- Invitae, San Francisco, California
| | | | | | | | - Rache Simmons
- Department of Surgery, Weill Cornell Medicine, New York, New York
| | - Eric A. Brown
- Comprehensive Breast Care, A Division of Michigan Healthcare Professionals, Troy
| | - Linsey Gold
- Comprehensive Breast Care, A Division of Michigan Healthcare Professionals, Troy
| | | | | | - Michael Kinney
- Center for Advanced Breast Care, Arlington Heights, Illinois
| | - Ian Grady
- North Valley Breast Clinic, Redding, California
| | - Patricia Clark
- Ironwood Cancer and Research Centers, Scottsdale, Arizona
| | | | | | - Lee Riley
- St Luke’s University Health Network, Easton, Pennsylvania
| | - Cynara Coomer
- Department of Surgery, Northwell Staten Island University Hospital, Staten Island, New York
| | | | - Antonio Ruiz
- Chesapeake Regional Medical Center, Chesapeake, Virginia
| | - Sadia Khan
- Hoag Hospital Newport Beach, Newport Beach, California
| | | | - Kevin Hughes
- Department of Surgery, Medical University of South Carolina, Charleston
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Reichardt A, Hughes K, Hou W, Yang X, Clouston S, Luft B, Arcan C. Nutrition Intervention to Reduce Body Weight and Systemic Inflammation among World Trade Center Responders with PTSD: Pilot Randomized Controlled Trial. J Acad Nutr Diet 2022. [DOI: 10.1016/j.jand.2022.06.157] [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: 11/28/2022]
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13
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Yala A, Mikhael PG, Hughes K, Barzilay R. Reply to M. Eriksson et al and Z. Jin et al. J Clin Oncol 2022; 40:2281-2282. [PMID: 35452271 DOI: 10.1200/jco.22.00292] [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)
- Adam Yala
- Adam Yala, ME, and Peter G. Mikhael, BS, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, Jameel Clinic, Massachusetts Institute of Technology, Cambridge, MA; Kevin Hughes, MD, Department of Surgery, Medical University of South Carolina, Charleston, SC; and Regina Barzilay, PhD, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, Jameel Clinic, Massachusetts Institute of Technology, Cambridge, MA
| | - Peter G Mikhael
- Adam Yala, ME, and Peter G. Mikhael, BS, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, Jameel Clinic, Massachusetts Institute of Technology, Cambridge, MA; Kevin Hughes, MD, Department of Surgery, Medical University of South Carolina, Charleston, SC; and Regina Barzilay, PhD, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, Jameel Clinic, Massachusetts Institute of Technology, Cambridge, MA
| | - Kevin Hughes
- Adam Yala, ME, and Peter G. Mikhael, BS, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, Jameel Clinic, Massachusetts Institute of Technology, Cambridge, MA; Kevin Hughes, MD, Department of Surgery, Medical University of South Carolina, Charleston, SC; and Regina Barzilay, PhD, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, Jameel Clinic, Massachusetts Institute of Technology, Cambridge, MA
| | - Regina Barzilay
- Adam Yala, ME, and Peter G. Mikhael, BS, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, Jameel Clinic, Massachusetts Institute of Technology, Cambridge, MA; Kevin Hughes, MD, Department of Surgery, Medical University of South Carolina, Charleston, SC; and Regina Barzilay, PhD, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, Jameel Clinic, Massachusetts Institute of Technology, Cambridge, MA
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14
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Coyle L, Gallagher C, Graney N, Hughes K, Kukla L, Paliga R, Andrade A, Joshi A, Macaluso G, Pauwaa S, Pillarella J, Sciamanna C, Cotts W, Narang N, Pappas P, Tatooles A, Chau V. Outcomes in Patients with Commercial HeartMate 3 LVAD: A Comparative Analysis of Non-Trial versus Trial Like Cohorts. J Heart Lung Transplant 2022. [DOI: 10.1016/j.healun.2022.01.673] [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: 10/18/2022] Open
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15
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Morice D, Elhassan HA, Myint-Wilks L, Barnett RE, Rasheed A, Collins H, Owen A, Hughes K, Mcleod R. Laryngopharyngeal reflux: is laparoscopic fundoplication an effective treatment? Ann R Coll Surg Engl 2022; 104:79-87. [PMID: 35100850 DOI: 10.1308/rcsann.2021.0613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
INTRODUCTION Laryngopharyngeal reflux (LPR) is difficult to diagnose and treat owing to uncertainty relating to the underlying pathology. The initial management of LPR includes lifestyle modifications and oral medications. In patients who have failed to respond to proton pump inhibitor (PPI) therapy, anti-reflux surgery is considered; laparoscopic fundoplication is the surgery of choice. The primary aim of this review is to identify whether fundoplication is effective in improving signs and symptoms of LPR. The secondary aim is to identify whether patients who have had a poor response to PPIs are likely to have symptom improvement with surgery. The objective of the study is to establish the effect of laparoscopic fundoplication on the reflux symptom index score (RSI). METHODS PubMed, Embase, Medline and Cochrane databases were used to search according to the PRISMA guidelines. Original articles assessing the efficacy of fundoplication in relieving symptoms of LPR were included. For each study, the efficacy endpoints and safety outcomes were recorded. FINDINGS Nine studies from 844 initial records met the inclusion criteria: one prospective case control study, one retrospective case-control study, four prospective case series and three retrospective case series involving 287 fundoplications. All nine studies found fundoplication to be effective in improving symptoms of LPR (p < 0.05). CONCLUSION Current evidence suggests laparoscopic fundoplication is an effective treatment for LPR and should be considered if medical management is unsuccessful.
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Affiliation(s)
| | - H A Elhassan
- Homerton University Hospital NHS Foundation Trust, UK
| | | | - R E Barnett
- Cardiff and Vale University Health Board, UK
| | - A Rasheed
- Aneurin Bevan University Health Board, UK
| | - H Collins
- Aneurin Bevan University Health Board, UK
| | - A Owen
- Aneurin Bevan University Health Board, UK
| | - K Hughes
- Swansea Bay University Health Board, UK
| | - R Mcleod
- Aneurin Bevan University Health Board, UK
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16
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Yala A, Mikhael PG, Strand F, Lin G, Satuluru S, Kim T, Banerjee I, Gichoya J, Trivedi H, Lehman CD, Hughes K, Sheedy DJ, Matthis LM, Karunakaran B, Hegarty KE, Sabino S, Silva TB, Evangelista MC, Caron RF, Souza B, Mauad EC, Patalon T, Handelman-Gotlib S, Guindy M, Barzilay R. Multi-Institutional Validation of a Mammography-Based Breast Cancer Risk Model. J Clin Oncol 2021; 40:1732-1740. [PMID: 34767469 DOI: 10.1200/jco.21.01337] [Citation(s) in RCA: 61] [Impact Index Per Article: 20.3] [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
PURPOSE Accurate risk assessment is essential for the success of population screening programs in breast cancer. Models with high sensitivity and specificity would enable programs to target more elaborate screening efforts to high-risk populations, while minimizing overtreatment for the rest. Artificial intelligence (AI)-based risk models have demonstrated a significant advance over risk models used today in clinical practice. However, the responsible deployment of novel AI requires careful validation across diverse populations. To this end, we validate our AI-based model, Mirai, across globally diverse screening populations. METHODS We collected screening mammograms and pathology-confirmed breast cancer outcomes from Massachusetts General Hospital, USA; Novant, USA; Emory, USA; Maccabi-Assuta, Israel; Karolinska, Sweden; Chang Gung Memorial Hospital, Taiwan; and Barretos, Brazil. We evaluated Uno's concordance-index for Mirai in predicting risk of breast cancer at one to five years from the mammogram. RESULTS A total of 128,793 mammograms from 62,185 patients were collected across the seven sites, of which 3,815 were followed by a cancer diagnosis within 5 years. Mirai obtained concordance indices of 0.75 (95% CI, 0.72 to 0.78), 0.75 (95% CI, 0.70 to 0.80), 0.77 (95% CI, 0.75 to 0.79), 0.77 (95% CI, 0.73 to 0.81), 0.81 (95% CI, 0.79 to 0.82), 0.79 (95% CI, 0.76 to 0.83), and 0.84 (95% CI, 0.81 to 0.88) at Massachusetts General Hospital, Novant, Emory, Maccabi-Assuta, Karolinska, Chang Gung Memorial Hospital, and Barretos, respectively. CONCLUSION Mirai, a mammography-based risk model, maintained its accuracy across globally diverse test sets from seven hospitals across five countries. This is the broadest validation to date of an AI-based breast cancer model and suggests that the technology can offer broad and equitable improvements in care.
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Affiliation(s)
- Adam Yala
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA.,Jameel Clinic, Massachusetts Institute of Technology, Cambridge, MA
| | - Peter G Mikhael
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA.,Jameel Clinic, Massachusetts Institute of Technology, Cambridge, MA
| | - Fredrik Strand
- Breast Radiology Unit, Department of Imaging and Physiology, Karolinska University Hospital, Stockholm, Sweden.,Department of Oncology-Pathology, Karolinska Institute, Stockholm, Sweden
| | - Gigin Lin
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
| | - Siddharth Satuluru
- Department of Computer Science, University of California Los Angeles, Los Angeles, CA
| | - Thomas Kim
- Department of Computer Science, Georgia Institute of Technology, Atlanta, GA
| | - Imon Banerjee
- Department of Biomedical Informatics, Emory University, Atlanta, GA
| | - Judy Gichoya
- Department of Radiology, Emory University, Atlanta, GA
| | - Hari Trivedi
- Department of Radiology, Emory University, Atlanta, GA
| | - Constance D Lehman
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Kevin Hughes
- Division of Surgical Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - David J Sheedy
- Analytics and Informatics Department, Novant Health, Winston-Salem, NC
| | - Lisa M Matthis
- Analytics and Informatics Department, Novant Health, Winston-Salem, NC
| | - Bipin Karunakaran
- Analytics and Informatics Department, Novant Health, Winston-Salem, NC
| | - Karen E Hegarty
- Digital Product and Services, Novant Health, Winston-Salem, NC
| | - Silvia Sabino
- Department of Cancer Prevention, Barretos Cancer Hospital, Barretos, Brazil
| | - Thiago B Silva
- Department of Cancer Prevention, Barretos Cancer Hospital, Barretos, Brazil
| | | | - Renato F Caron
- Department of Cancer Prevention, Barretos Cancer Hospital, Barretos, Brazil
| | - Bruno Souza
- Department of Cancer Prevention, Barretos Cancer Hospital, Barretos, Brazil
| | - Edmundo C Mauad
- Department of Cancer Prevention, Barretos Cancer Hospital, Barretos, Brazil
| | - Tal Patalon
- Maccabitech, Maccabi Health Services, Tel Aviv, Israel
| | | | - Michal Guindy
- Department of Imaging, Assuta Medical Centers, Tel Aviv, Israel
| | - Regina Barzilay
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA.,Jameel Clinic, Massachusetts Institute of Technology, Cambridge, MA
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17
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Allen J, Cotter-Roberts A, Kadel R, Hughes K, Dyakova M. COVID-19 impact on financial security: evidence from the National Public Engagement Survey in Wales. Eur J Public Health 2021. [DOI: 10.1093/eurpub/ckab165.324] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [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
Background
A nationally representative COVID-19 Public Engagement Survey for Wales, led by the World Health Organization Collaborating Centre on Investment for Health and Well-being at Public Health Wales, has been ongoing from April 2020, helping to inform a sustainable recovery from the COVID-19 pandemic. A data analysis was performed as part of the Welsh Health Equity Status Report initiative focusing on income and job security, which influences living conditions and lifestyle behaviours.
Methods
A Generalized Linear Model was used to calculate the predicted probability of response for variables of interest, e.g. whether an individual reported being in a worse financial situation due to the pandemic, across the life course, socio-economic gradient and sex. Data collected via telephone between 03 April - 25 July 2020 produced a sample ranging between approx. 2,500 - 7,500 participants. The sample was weighted according to deprivation quintile (using the Welsh Index of Multiple Deprivation), age group and sex.
Results
A significantly higher proportion of survey respondents (18 - 24 years of age) reported being worried about losing their job or not being able to find one, than any other age group. A significantly higher proportion of survey respondents in the most deprived population fifth (33.7%) reported being in a worse financial situation as a result of the restrictions, compared to the least deprived fifth (21.7%).
Conclusions
COVID-19 has had a major impact on people's lives and livelihoods in Wales, hitting the most deprived and vulnerable the most. It has increased job insecurity, especially among younger/working age people. The government has taken unprecedented financial and other measures to address inequities; nevertheless, most are temporary and not specifically targeted to support specific (vulnerable) groups. Measures to promote sustainable economic recovery, job security and safeguarding due to the COVID-19 pandemic need continuity and consistency
Key messages
COVID-19 has had a significant impact on income and job security in Wales, disproportionately affecting the most deprived. To mitigate COVID-19 harms, a continuous and consistent focus on equity is essential to promote sustainable economic recovery.
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Affiliation(s)
- J Allen
- WHO CC on Investment for Health & Well-being, Public Health Wales, Cardiff, UK
| | - A Cotter-Roberts
- WHO CC on Investment for Health & Well-being, Public Health Wales, Cardiff, UK
| | - R Kadel
- WHO CC on Investment for Health & Well-being, Public Health Wales, Cardiff, UK
| | - K Hughes
- WHO CC on Investment for Health & Well-being, Public Health Wales, Cardiff, UK
| | - M Dyakova
- WHO CC on Investment for Health & Well-being, Public Health Wales, Cardiff, UK
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Williamson T, Hughes K, Osborne-Grinter M, Philip V, Dall G, Raghavan R. 799 Do Not Attempt Cardiopulmonary Resuscitation Decisions in Neck of Femur Fractures – Is Documentation Adequate? Br J Surg 2021. [DOI: 10.1093/bjs/znab259.101] [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: 11/13/2022]
Abstract
Abstract
Introduction
‘Do not attempt cardiopulmonary resuscitation’ (DNACPR) documentation is essential to communicate decisions regarding ceilings of care for patients to the clinical team. Patients admitted to hospital with a fractured neck of femur (#NOF) are often elderly with multiple comorbidities, and so robust and clear anticipatory care plans are especially indicated.
Method
All patients admitted to a large district general hospital in Scotland with a #NOF over a three-week period between 23/10/2020 and 12/11/2020 were identified prospectively and included in this audit. Patients’ demographic information, DNACPR status and the quality of their DNACPR documentation was recorded.
Results
20 patients (85% Female, 15% Male) were identified and included. Median ASA grade was 3, with 77.8% of patients ASA grade 3 or 4. 63.2% of patients had DNACPR documentation in place, all of which were ASA grade 3 or above. Most DNACPR documentation had patient information clearly identifiable (91.7%), was completed preoperatively (90.9%), and involved either the patient or appropriate relative or power of attorney (91.6%). However, only 75% of patients’ documentation had the rationale for the DNACPR decision documented and only 25% of DNACPR decisions were reviewed by a senior clinician within 72 hours. No DNACPR decisions were documented as having been communicated to the wider healthcare team.
Conclusions
DNACPR documentation is a crucial for anticipatory care planning in #NOF patients. This audit shows improvement is needed in documenting whether decisions have been reviewed by senior clinicians, and if they have been communicated to the wider healthcare team.
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Affiliation(s)
- T Williamson
- University of Edinburgh, Edinburgh, United Kingdom
| | - K Hughes
- Borders General Hospital, Melrose, United Kingdom
| | | | - V Philip
- Borders General Hospital, Melrose, United Kingdom
| | - G Dall
- Borders General Hospital, Melrose, United Kingdom
| | - R Raghavan
- Borders General Hospital, Melrose, United Kingdom
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Siddiqui Z, Morland L, Speakman S, Birley R, Hughes K. 742 Transurethral LASER Ablation (TULA): A Safe and Well Tolerated Procedure for The Treatment of Bladder Tumours Up To 4cm In Diameter in An Outpatient Setting. Br J Surg 2021. [DOI: 10.1093/bjs/znab259.1093] [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: 11/12/2022]
Abstract
Abstract
Aim
Traditionally the management of recurrent non-muscle invasive bladder cancer (NMIBC) involves rigid cystoscopy and bladder biopsies/tumour resection under general/regional anaesthesia. As a result, many frail patients endure frequent anaesthetics and therefore are at increased risk of adverse outcomes including cognitive decline. Discontinuation of anti-platelet/anti-coagulation is not required for TULA. An outpatient TULA service was recently started at our trust. We present a case series of our first 4 months data.
Method
All TULA cases (n = 39) performed between Aug-Dec 2020 were included. Data was gathered prospectively including patient demographics, co-morbidities, initial cancer diagnosis and number of subsequent recurrences, post-procedural complications, and patient procedural satisfaction.
Results
Median age was 82 years (range 34-96) and median number of co-morbidities were 4 (range 0-10). Previous bladder cancer diagnosis was present for 85% with the most common initial stage G2pTa (n = 11). Median number of recurrences was 1 (range 1-5). Median patient perceived pain score was 3 (range 1-7) with 100% of patients preferring TULA over TURBT. Reasons included reduced procedural time (n = 18) and enhanced recovery (n = 15). Only 1 patient was readmitted post-procedure due to haematuria, however urine was clear after catheterisation and the patient was discharged.
Conclusions
TULA is safe for all low risk NMIBC, particularly for frail patients. It is well tolerated and facilitates improved patient experience. It also alleviates demand on theatre capacity and inpatient beds which has a positive effect on surgical waiting lists. Further audit of clinical outcomes should continue as recommended by NICE.
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Affiliation(s)
- Z Siddiqui
- St Helens & Knowsley NHS Trust, St Helens, United Kingdom
| | - L Morland
- St Helens & Knowsley NHS Trust, St Helens, United Kingdom
| | - S Speakman
- St Helens & Knowsley NHS Trust, St Helens, United Kingdom
| | - R Birley
- St Helens & Knowsley NHS Trust, St Helens, United Kingdom
| | - K Hughes
- St Helens & Knowsley NHS Trust, St Helens, United Kingdom
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20
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Affiliation(s)
- Christopher Parks
- Department of Mechanical Engineering, The University of Sheffield, Sheffield S3 7RD, U.K
| | - Kevin Hughes
- Department of Mechanical Engineering, The University of Sheffield, Sheffield S3 7RD, U.K
| | - Mohamed Pourkashanian
- Department of Mechanical Engineering, The University of Sheffield, Sheffield S3 7RD, U.K
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21
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Morice D, Elhassan HA, Myint-Wilks L, Barnett RE, Rasheed A, Collins H, Owen A, Hughes K, Mcleod R. Laryngopharyngeal reflux: is laparoscopic fundoplication an effective treatment? Ann R Coll Surg Engl 2021; 104:79-87. [PMID: 34482754 DOI: 10.1308/rcsann.2021.0046] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
INTRODUCTION Laryngopharyngeal reflux (LPR) is difficult to diagnose and treat owing to uncertainty relating to the underlying pathology. The initial management of LPR includes lifestyle modifications and oral medications. In patients who have failed to respond to proton pump inhibitor (PPI) therapy, anti-reflux surgery is considered; laparoscopic fundoplication is the surgery of choice. The primary aim of this review is to identify whether fundoplication is effective in improving signs and symptoms of LPR. The secondary aim is to identify whether patients who have had a poor response to PPIs are likely to have symptom improvement with surgery. The objective of the study is to establish the effect of laparoscopic fundoplication on the reflux symptom index score (RSI). METHODS PubMed, Embase, Medline and Cochrane databases were used to search according to the PRISMA guidelines. Original articles assessing the efficacy of fundoplication in relieving symptoms of LPR were included. For each study, the efficacy endpoints and safety outcomes were recorded. FINDINGS Nine studies from 844 initial records met the inclusion criteria: one prospective case control study, one retrospective case-control study, four prospective case series and three retrospective case series involving 287 fundoplications. All nine studies found fundoplication to be effective in improving symptoms of LPR (p < 0.05). CONCLUSION Current evidence suggests laparoscopic fundoplication is an effective treatment for LPR and should be considered if medical management is unsuccessful.
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Affiliation(s)
| | - H A Elhassan
- Homerton University Hospital NHS Foundation Trust, UK
| | | | - R E Barnett
- Cardiff and Vale University Health Board, UK
| | - A Rasheed
- Aneurin Bevan University Health Board, UK
| | - H Collins
- Aneurin Bevan University Health Board, UK
| | - A Owen
- Aneurin Bevan University Health Board, UK
| | - K Hughes
- Swansea Bay University Health Board, UK
| | - R Mcleod
- Aneurin Bevan University Health Board, UK
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22
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McCarthy AM, Friebel-Klingner T, Ehsan S, He W, Welch M, Chen J, Kontos D, Domchek SM, Conant EF, Semine A, Hughes K, Bardia A, Lehman C, Armstrong K. Relationship of established risk factors with breast cancer subtypes. Cancer Med 2021; 10:6456-6467. [PMID: 34464510 PMCID: PMC8446564 DOI: 10.1002/cam4.4158] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Revised: 07/02/2021] [Accepted: 07/07/2021] [Indexed: 01/07/2023] Open
Abstract
Background Breast cancer is a heterogeneous disease, divided into subtypes based on the expression of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2). Subtypes have different biology and prognosis, with accumulating evidence of different risk factors. The purpose of this study was to compare breast cancer risk factors across tumor subtypes in a large, diverse mammography population. Methods Women aged 40–84 without a history of breast cancer with a screening mammogram at three United States health systems from 2006 to 2015 were included. Risk factor questionnaires were completed at mammogram visit, supplemented by electronic health records. Invasive tumor subtype was defined by immunohistochemistry as ER/PR+HER2−, ER/PR+HER2+, ER, and PR−HER2+, or triple‐negative breast cancer (TNBC). Cox proportional hazards models were run for each subtype. Associations of race, reproductive history, prior breast problems, family history, breast density, and body mass index (BMI) were assessed. The association of tumor subtypes with screen detection and interval cancer was assessed using logistic regression among invasive cases. Results The study population included 198,278 women with a median of 6.5 years of follow‐up (IQR 4.2–9.0 years). There were 4002 invasive cancers, including 3077 (77%) ER/PR+HER2−, 300 (8%) TNBC, 342 (9%) ER/PR+HER2+, and 126 (3%) ER/PR−HER2+ subtype. In multivariate models, Black women had 2.7 times higher risk of TNBC than white women (HR = 2.67, 95% CI 1.99–3.58). Breast density was associated with increased risk of all subtypes. BMI was more strongly associated with ER/PR+HER2− and HER2+ subtypes among postmenopausal women than premenopausal women. Breast density was more strongly associated with ER/PR+HER2− and TNBC among premenopausal than postmenopausal women. TNBC was more likely to be interval cancer than other subtypes. Conclusions These results have implications for risk assessment and understanding of the etiology of breast cancer subtypes. More research is needed to determine what factors explain the higher risk of TNBC for Black women.
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Affiliation(s)
- Anne Marie McCarthy
- University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
| | | | - Sarah Ehsan
- University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
| | - Wei He
- Massachusetts General Hospital, Boston, Massachusetts, USA
| | | | - Jinbo Chen
- University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
| | - Despina Kontos
- University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
| | - Susan M Domchek
- University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
| | - Emily F Conant
- University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
| | - Alan Semine
- Newton Wellesley Hospital, Newton, Massachusetts, USA
| | - Kevin Hughes
- Massachusetts General Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
| | - Aditya Bardia
- Massachusetts General Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
| | - Constance Lehman
- Massachusetts General Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
| | - Katrina Armstrong
- Massachusetts General Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
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23
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Affiliation(s)
- K. Hughes
- Department of Veterinary Medicine University of Cambridge Cambridge UK
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24
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Santus E, Schuster T, Tahmasebi AM, Li C, Yala A, Lanahan CR, Prinsen P, Thompson SF, Coons S, Mynderse L, Barzilay R, Hughes K. Exploiting Rules to Enhance Machine Learning in Extracting Information From Multi-Institutional Prostate Pathology Reports. JCO Clin Cancer Inform 2021; 4:865-874. [PMID: 33006906 DOI: 10.1200/cci.20.00028] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
PURPOSE Literature on clinical note mining has highlighted the superiority of machine learning (ML) over hand-crafted rules. Nevertheless, most studies assume the availability of large training sets, which is rarely the case. For this reason, in the clinical setting, rules are still common. We suggest 2 methods to leverage the knowledge encoded in pre-existing rules to inform ML decisions and obtain high performance, even with scarce annotations. METHODS We collected 501 prostate pathology reports from 6 American hospitals. Reports were split into 2,711 core segments, annotated with 20 attributes describing the histology, grade, extension, and location of tumors. The data set was split by institutions to generate a cross-institutional evaluation setting. We assessed 4 systems, namely a rule-based approach, an ML model, and 2 hybrid systems integrating the previous methods: a Rule as Feature model and a Classifier Confidence model. Several ML algorithms were tested, including logistic regression (LR), support vector machine (SVM), and eXtreme gradient boosting (XGB). RESULTS When training on data from a single institution, LR lags behind the rules by 3.5% (F1 score: 92.2% v 95.7%). Hybrid models, instead, obtain competitive results, with Classifier Confidence outperforming the rules by +0.5% (96.2%). When a larger amount of data from multiple institutions is used, LR improves by +1.5% over the rules (97.2%), whereas hybrid systems obtain +2.2% for Rule as Feature (97.7%) and +2.6% for Classifier Confidence (98.3%). Replacing LR with SVM or XGB yielded similar performance gains. CONCLUSION We developed methods to use pre-existing handcrafted rules to inform ML algorithms. These hybrid systems obtain better performance than either rules or ML models alone, even when training data are limited.
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Affiliation(s)
- Enrico Santus
- Department of Electrical Engineering and Computer Science, CSAIL, MIT, Cambridge, MA
| | - Tal Schuster
- Department of Electrical Engineering and Computer Science, CSAIL, MIT, Cambridge, MA
| | | | - Clara Li
- Department of Electrical Engineering and Computer Science, CSAIL, MIT, Cambridge, MA
| | - Adam Yala
- Department of Electrical Engineering and Computer Science, CSAIL, MIT, Cambridge, MA
| | - Conor R Lanahan
- Department of Oncology, Massachusetts General Hospital, Boston, MA
| | | | | | | | | | - Regina Barzilay
- Department of Electrical Engineering and Computer Science, CSAIL, MIT, Cambridge, MA
| | - Kevin Hughes
- Department of Oncology, Massachusetts General Hospital, Boston, MA
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25
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Garstka M, Henriquez A, Kelly BN, Webster A, Khubchandani JA, Hughes K, Nguyen A, Oseni T, Specht M, Coopey SB, Gadd MA, Smith BL. ASO Visual Abstract: How Protective are Nipple-Sparing Prophylactic Mastectomies in BRCA1 and BRCA2 Mutation Carriers? Ann Surg Oncol 2021. [PMID: 34374912 DOI: 10.1245/s10434-021-10583-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Affiliation(s)
- Meghan Garstka
- Breast Program, Division of Surgical Oncology, Massachusetts General Hospital, MGH Center for Breast Cancer, Boston, MA, USA
| | - Anthony Henriquez
- Breast Program, Division of Surgical Oncology, Massachusetts General Hospital, MGH Center for Breast Cancer, Boston, MA, USA
| | - Bridget N Kelly
- Breast Program, Division of Surgical Oncology, Massachusetts General Hospital, MGH Center for Breast Cancer, Boston, MA, USA
| | - Alexandra Webster
- Breast Program, Division of Surgical Oncology, Massachusetts General Hospital, MGH Center for Breast Cancer, Boston, MA, USA
| | - Jasmine A Khubchandani
- Breast Program, Division of Surgical Oncology, Massachusetts General Hospital, MGH Center for Breast Cancer, Boston, MA, USA
| | - Kevin Hughes
- Breast Program, Division of Surgical Oncology, Massachusetts General Hospital, MGH Center for Breast Cancer, Boston, MA, USA
| | - Anvy Nguyen
- Breast Program, Division of Surgical Oncology, Massachusetts General Hospital, MGH Center for Breast Cancer, Boston, MA, USA
| | - Tawakalitu Oseni
- Breast Program, Division of Surgical Oncology, Massachusetts General Hospital, MGH Center for Breast Cancer, Boston, MA, USA
| | - Michelle Specht
- Breast Program, Division of Surgical Oncology, Massachusetts General Hospital, MGH Center for Breast Cancer, Boston, MA, USA
| | - Suzanne B Coopey
- Breast Program, Division of Surgical Oncology, Massachusetts General Hospital, MGH Center for Breast Cancer, Boston, MA, USA
| | - Michele A Gadd
- Breast Program, Division of Surgical Oncology, Massachusetts General Hospital, MGH Center for Breast Cancer, Boston, MA, USA
| | - Barbara L Smith
- Breast Program, Division of Surgical Oncology, Massachusetts General Hospital, MGH Center for Breast Cancer, Boston, MA, USA.
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26
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Garstka M, Henriquez A, Kelly BN, Webster A, Khubchandani JA, Hughes K, Nguyen A, Oseni T, Specht M, Coopey SB, Gadd MA, Smith BL. How Protective are Nipple-Sparing Prophylactic Mastectomies in BRCA1 and BRCA2 Mutation Carriers? Ann Surg Oncol 2021; 28:5657-5662. [PMID: 34296361 DOI: 10.1245/s10434-021-10445-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Accepted: 05/27/2021] [Indexed: 12/17/2022]
Abstract
BACKGROUND Nipple-sparing mastectomy (NSM) is now routinely offered to BRCA mutation carriers for risk reduction. We assessed the rates of ipsilateral cancer events after prophylactic and therapeutic NSM in BRCA1 and BRCA2 mutation carriers. METHODS BRCA1 and BRCA2 mutation carriers undergoing NSM from October 2007 to June 2019 were identified in a single-institution prospective database, with variants of unknown significance being excluded. Patient, tumor, and outcomes data were collected. Follow-up analysis was by cumulative breast-years (total years of follow-up of each breast) and woman-years (total years of follow-up of each woman). RESULTS Overall, 307 BRCA1 and BRCA2 mutation carriers (160 BRCA1, mean age 41.4 years [range 21-65]; and 147 BRCA2, mean age 43.8 years [range 23-65]) underwent 607 NSMs, with a median follow-up of 42 months (range 1-143). 388 bilateral prophylactic NSMs had 744 cumulative woman-years of follow-up, with no new cancers seen (< 0.0013 new cancers per woman-years); 251 BRCA1 prophylactic NSMs had 1034 cumulative breast-years of follow-up, with no new ipsilateral cancers seen (< 0.0010 per breast-year); 66 BRCA1 therapeutic NSMs had 328 cumulative breast-years of follow-up, with one ipsilateral cancer recurrence not directly involving the nipple or areola (0.0030 per breast-year); 237 BRCA2 prophylactic NSMs had 926 cumulative breast-years of follow-up, with no new ipsilateral cancers seen (< 0.0011 per breast-year); and 53 BRCA2 therapeutic NSMs had 239 cumulative breast-years of follow-up, with two ipsilateral recurrent cancers, neither of which directly involved the nipple or areola (0.0084 per breast-year). CONCLUSIONS The risk of new ipsilateral breast cancers is extremely low after NSM in BRCA1 and BRCA2 mutation carriers. NSM is an effective risk-reducing strategy for BRCA gene mutations.
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Affiliation(s)
- Meghan Garstka
- Breast Program, Division of Surgical Oncology, Massachusetts General Hospital, MGH Center for Breast Cancer, Boston, MA, USA
| | - Anthony Henriquez
- Breast Program, Division of Surgical Oncology, Massachusetts General Hospital, MGH Center for Breast Cancer, Boston, MA, USA
| | - Bridget N Kelly
- Breast Program, Division of Surgical Oncology, Massachusetts General Hospital, MGH Center for Breast Cancer, Boston, MA, USA
| | - Alexandra Webster
- Breast Program, Division of Surgical Oncology, Massachusetts General Hospital, MGH Center for Breast Cancer, Boston, MA, USA
| | - Jasmine A Khubchandani
- Breast Program, Division of Surgical Oncology, Massachusetts General Hospital, MGH Center for Breast Cancer, Boston, MA, USA
| | - Kevin Hughes
- Breast Program, Division of Surgical Oncology, Massachusetts General Hospital, MGH Center for Breast Cancer, Boston, MA, USA
| | - Anvy Nguyen
- Breast Program, Division of Surgical Oncology, Massachusetts General Hospital, MGH Center for Breast Cancer, Boston, MA, USA
| | - Tawakalitu Oseni
- Breast Program, Division of Surgical Oncology, Massachusetts General Hospital, MGH Center for Breast Cancer, Boston, MA, USA
| | - Michelle Specht
- Breast Program, Division of Surgical Oncology, Massachusetts General Hospital, MGH Center for Breast Cancer, Boston, MA, USA
| | - Suzanne B Coopey
- Breast Program, Division of Surgical Oncology, Massachusetts General Hospital, MGH Center for Breast Cancer, Boston, MA, USA
| | - Michele A Gadd
- Breast Program, Division of Surgical Oncology, Massachusetts General Hospital, MGH Center for Breast Cancer, Boston, MA, USA
| | - Barbara L Smith
- Breast Program, Division of Surgical Oncology, Massachusetts General Hospital, MGH Center for Breast Cancer, Boston, MA, USA.
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27
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Yala A, Mikhael PG, Strand F, Lin G, Smith K, Wan YL, Lamb L, Hughes K, Lehman C, Barzilay R. Toward robust mammography-based models for breast cancer risk. Sci Transl Med 2021; 13:13/578/eaba4373. [PMID: 33504648 DOI: 10.1126/scitranslmed.aba4373] [Citation(s) in RCA: 72] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Revised: 07/24/2020] [Accepted: 12/21/2020] [Indexed: 12/14/2022]
Abstract
Improved breast cancer risk models enable targeted screening strategies that achieve earlier detection and less screening harm than existing guidelines. To bring deep learning risk models to clinical practice, we need to further refine their accuracy, validate them across diverse populations, and demonstrate their potential to improve clinical workflows. We developed Mirai, a mammography-based deep learning model designed to predict risk at multiple timepoints, leverage potentially missing risk factor information, and produce predictions that are consistent across mammography machines. Mirai was trained on a large dataset from Massachusetts General Hospital (MGH) in the United States and tested on held-out test sets from MGH, Karolinska University Hospital in Sweden, and Chang Gung Memorial Hospital (CGMH) in Taiwan, obtaining C-indices of 0.76 (95% confidence interval, 0.74 to 0.80), 0.81 (0.79 to 0.82), and 0.79 (0.79 to 0.83), respectively. Mirai obtained significantly higher 5-year ROC AUCs than the Tyrer-Cuzick model ( P < 0.001) and prior deep learning models Hybrid DL ( P < 0.001) and Image-Only DL ( P < 0.001), trained on the same dataset. Mirai more accurately identified high-risk patients than prior methods across all datasets. On the MGH test set, 41.5% (34.4 to 48.5) of patients who would develop cancer within 5 years were identified as high risk, compared with 36.1% (29.1 to 42.9) by Hybrid DL ( P = 0.02) and 22.9% (15.9 to 29.6) by the Tyrer-Cuzick model ( P < 0.001).
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Affiliation(s)
- Adam Yala
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. .,Jameel Clinic, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Peter G Mikhael
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.,Jameel Clinic, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Fredrik Strand
- Breast Radiology Unit, Department of Imaging and Physiology, Karolinska University Hospital, 17164 Solna, Sweden.,Department of Oncology-Pathology, Karolinska Institute, 17164 Solna, Sweden
| | - Gigin Lin
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan 333, Taiwan
| | - Kevin Smith
- School of Electrical Engineering and Computer, KTH Royal Institute of Technology, 10044 Stockholm, Sweden.,Science for Life Laboratory, 17165 Solna, Sweden
| | - Yung-Liang Wan
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan 333, Taiwan
| | - Leslie Lamb
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Kevin Hughes
- Division of Surgical Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Constance Lehman
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Regina Barzilay
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.,Jameel Clinic, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
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28
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Albright G, Khalid N, Shockley K, Robinson K, Hughes K, Pace-Danley B. Innovative Virtual Role Play Simulations for Managing Substance Use Conversations: Pilot Study Results and Relevance During and After COVID-19. JMIR Form Res 2021; 5:e27164. [PMID: 33848972 PMCID: PMC8086785 DOI: 10.2196/27164] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Revised: 03/24/2021] [Accepted: 04/11/2021] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Substance use places a substantial burden on our communities, both economically and socially. In light of COVID-19, it is predicted that as many as 75,000 more people will die from alcohol and other substance use and suicide as a result of isolation, new mental health concerns, and various other stressors related to the pandemic. Public awareness campaigns that aim to destigmatize substance use and help individuals have meaningful conversations with friends, coworkers, or family members to address substance use concerns are a timely and cost-effective means of augmenting existing behavioral health efforts related to substance use. These types of interventions can supplement the work being done by existing public health initiatives. OBJECTIVE This pilot study examines the impact of the One Degree: Shift the Influence role play simulation, designed to teach family, friends, and coworkers to effectively manage problem-solving conversations with individuals that they are concerned about regarding substance use. METHODS Participants recruited for this mixed methods study completed a presurvey, the simulation, and a postsurvey, and were sent a 6-week follow-up survey. The simulation involves practicing a role play conversation with a virtual human coded with emotions, a memory, and a personality. A virtual coach provides feedback in using evidence-based communication strategies such as motivational interviewing. RESULTS A matched sample analysis of variance revealed significant increases at follow-up in composite attitudinal constructs of preparedness (P<.001) and self-efficacy (P=.01), including starting a conversation with someone regarding substance use, avoiding upsetting someone while bringing up concerns, focusing on observable facts, and problem solving. Qualitative data provided further evidence of the simulation's positive impact on the ability to have meaningful conversations about substance use. CONCLUSIONS This study provides preliminary evidence that conversation-based simulations like One Degree: Shift the Influence that use role play practice can teach individuals to use evidence-based communication strategies and can cost-effectively reach geographically dispersed populations to support public health initiatives for primary prevention.
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Affiliation(s)
- Glenn Albright
- Baruch College Department of Psychology, City University of New York, New York, NY, United States
| | - Nikita Khalid
- The Graduate Center, City University of New York, New York, NY, United States
| | - Kristen Shockley
- Department of Psychology, University of Georgia, Athens, GA, United States
| | | | - Kevin Hughes
- Peer Assistance Services, Inc, Denver, CO, United States
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29
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Santus E, Marino N, Cirillo D, Chersoni E, Montagud A, Santuccione Chadha A, Valencia A, Hughes K, Lindvall C. Artificial Intelligence-Aided Precision Medicine for COVID-19: Strategic Areas of Research and Development. J Med Internet Res 2021; 23:e22453. [PMID: 33560998 PMCID: PMC7958975 DOI: 10.2196/22453] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2020] [Revised: 10/07/2020] [Accepted: 01/31/2021] [Indexed: 01/07/2023] Open
Abstract
Artificial intelligence (AI) technologies can play a key role in preventing, detecting, and monitoring epidemics. In this paper, we provide an overview of the recently published literature on the COVID-19 pandemic in four strategic areas: (1) triage, diagnosis, and risk prediction; (2) drug repurposing and development; (3) pharmacogenomics and vaccines; and (4) mining of the medical literature. We highlight how AI-powered health care can enable public health systems to efficiently handle future outbreaks and improve patient outcomes.
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Affiliation(s)
- Enrico Santus
- Division of Decision Science and Advanced Analytics, Bayer Pharmaceuticals, Whippany, NJ, United States
- The Women's Brain Project, Zurich, Switzerland
| | - Nicola Marino
- The Women's Brain Project, Zurich, Switzerland
- Department of Medical and Surgical Sciences, Università degli Studi di Foggia, Foggia, Italy
| | - Davide Cirillo
- The Women's Brain Project, Zurich, Switzerland
- Barcelona Supercomputing Center, Barcelona, Spain
| | - Emmanuele Chersoni
- Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University, Hong Kong, China (Hong Kong)
| | | | | | - Alfonso Valencia
- Barcelona Supercomputing Center, Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats, Barcelona, Spain
| | - Kevin Hughes
- Massachusetts General Hospital, Boston, MA, United States
| | - Charlotta Lindvall
- Dana-Farber Cancer Institute, Boston, MA, United States
- Harvard Medical School, Boston, MA, United States
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30
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Gorham PW, Ludwig A, Deaconu C, Cao P, Allison P, Banerjee O, Batten L, Bhattacharya D, Beatty JJ, Belov K, Binns WR, Bugaev V, Chen CH, Chen P, Chen Y, Clem JM, Cremonesi L, Dailey B, Dowkontt PF, Fox BD, Gordon JWH, Hast C, Hill B, Hsu SY, Huang JJ, Hughes K, Hupe R, Israel MH, Liu TC, Macchiarulo L, Matsuno S, McBride K, Miki C, Nam J, Naudet CJ, Nichol RJ, Novikov A, Oberla E, Olmedo M, Prechelt R, Rauch BF, Roberts JM, Romero-Wolf A, Rotter B, Russell JW, Saltzberg D, Seckel D, Schoorlemmer H, Shiao J, Stafford S, Stockham J, Stockham M, Strutt B, Sutherland MS, Varner GS, Vieregg AG, Wang SH, Wissel SA. Unusual Near-Horizon Cosmic-Ray-like Events Observed by ANITA-IV. Phys Rev Lett 2021; 126:071103. [PMID: 33666466 DOI: 10.1103/physrevlett.126.071103] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 10/20/2020] [Accepted: 11/12/2020] [Indexed: 06/12/2023]
Abstract
ANITA's fourth long-duration balloon flight in 2016 detected 29 cosmic-ray (CR)-like events on a background of 0.37_{-0.17}^{+0.27} anthropogenic events. CRs are mainly seen in reflection off the Antarctic ice sheets, creating a phase-inverted waveform polarity. However, four of the below-horizon CR-like events show anomalous noninverted polarity, a p=5.3×10^{-4} chance if due to background. All anomalous events are from locations near the horizon; ANITA-IV observed no steeply upcoming anomalous events similar to the two such events seen in prior flights.
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Affiliation(s)
- P W Gorham
- Department of Physics and Astronomy, University of Hawaii, Manoa, Hawaii 96822, USA
| | - A Ludwig
- Department of Physics, Enrico Fermi Institute, Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - C Deaconu
- Department of Physics, Enrico Fermi Institute, Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - P Cao
- Department of Physics, University of Delaware, Newark, Delaware 19716, USA
| | - P Allison
- Department of Physics, Center for Cosmology and AstroParticle Physics, The Ohio State University, Columbus, Ohio 43210, USA
| | - O Banerjee
- Department of Physics, Center for Cosmology and AstroParticle Physics, The Ohio State University, Columbus, Ohio 43210, USA
| | - L Batten
- Department of Physics and Astronomy, University College London, WC1E 6BT London, United Kingdom
| | - D Bhattacharya
- Department of Mathematics, George Washington University, Washington, D.C. 20052, USA
| | - J J Beatty
- Department of Physics, Center for Cosmology and AstroParticle Physics, The Ohio State University, Columbus, Ohio 43210, USA
| | - K Belov
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California 91109, USA
| | - W R Binns
- Department of Physics and McDonnell Center for the Space Sciences, Washington University in St. Louis, St. Louis, Missouri 63130, USA
| | - V Bugaev
- Department of Physics and McDonnell Center for the Space Sciences, Washington University in St. Louis, St. Louis, Missouri 63130, USA
| | - C H Chen
- Department of Physics, Graduate Institute of Astrophysics, and Leung Center for Cosmology and Particle Astrophysics, National Taiwan University, Taipei 10617, Taiwan
| | - P Chen
- Department of Physics, Graduate Institute of Astrophysics, and Leung Center for Cosmology and Particle Astrophysics, National Taiwan University, Taipei 10617, Taiwan
| | - Y Chen
- Department of Physics, Graduate Institute of Astrophysics, and Leung Center for Cosmology and Particle Astrophysics, National Taiwan University, Taipei 10617, Taiwan
| | - J M Clem
- Department of Physics, University of Delaware, Newark, Delaware 19716, USA
| | - L Cremonesi
- Department of Physics and Astronomy, University College London, WC1E 6BT London, United Kingdom
| | - B Dailey
- Department of Physics, Center for Cosmology and AstroParticle Physics, The Ohio State University, Columbus, Ohio 43210, USA
| | - P F Dowkontt
- Department of Physics and McDonnell Center for the Space Sciences, Washington University in St. Louis, St. Louis, Missouri 63130, USA
| | - B D Fox
- Department of Physics and Astronomy, University of Hawaii, Manoa, Hawaii 96822, USA
| | - J W H Gordon
- Department of Physics, Center for Cosmology and AstroParticle Physics, The Ohio State University, Columbus, Ohio 43210, USA
| | - C Hast
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - B Hill
- Department of Physics and Astronomy, University of Hawaii, Manoa, Hawaii 96822, USA
| | - S Y Hsu
- Department of Physics, Graduate Institute of Astrophysics, and Leung Center for Cosmology and Particle Astrophysics, National Taiwan University, Taipei 10617, Taiwan
| | - J J Huang
- Department of Physics, Graduate Institute of Astrophysics, and Leung Center for Cosmology and Particle Astrophysics, National Taiwan University, Taipei 10617, Taiwan
| | - K Hughes
- Department of Physics, Center for Cosmology and AstroParticle Physics, The Ohio State University, Columbus, Ohio 43210, USA
| | - R Hupe
- Department of Physics, Center for Cosmology and AstroParticle Physics, The Ohio State University, Columbus, Ohio 43210, USA
| | - M H Israel
- Department of Physics and McDonnell Center for the Space Sciences, Washington University in St. Louis, St. Louis, Missouri 63130, USA
| | - T C Liu
- Department of Electrophysics, National Yang-Ming Chiao Tung University, Hsinchu 30010, Taiwan
| | - L Macchiarulo
- Department of Physics and Astronomy, University of Hawaii, Manoa, Hawaii 96822, USA
| | - S Matsuno
- Department of Physics and Astronomy, University of Hawaii, Manoa, Hawaii 96822, USA
| | - K McBride
- Department of Physics, Center for Cosmology and AstroParticle Physics, The Ohio State University, Columbus, Ohio 43210, USA
| | - C Miki
- Department of Physics and Astronomy, University of Hawaii, Manoa, Hawaii 96822, USA
| | - J Nam
- Department of Physics, Graduate Institute of Astrophysics, and Leung Center for Cosmology and Particle Astrophysics, National Taiwan University, Taipei 10617, Taiwan
| | - C J Naudet
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California 91109, USA
| | - R J Nichol
- Department of Physics and Astronomy, University College London, WC1E 6BT London, United Kingdom
| | - A Novikov
- Department of Physics and Astronomy, University of Kansas, Lawrence, Kansas 66045, USA
- National Research Nuclear University, Moscow Engineering Physics Institute, Moscow 115409, Russia
| | - E Oberla
- Department of Physics, Enrico Fermi Institute, Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - M Olmedo
- Department of Physics and Astronomy, University of Hawaii, Manoa, Hawaii 96822, USA
| | - R Prechelt
- Department of Physics and Astronomy, University of Hawaii, Manoa, Hawaii 96822, USA
| | - B F Rauch
- Department of Physics and McDonnell Center for the Space Sciences, Washington University in St. Louis, St. Louis, Missouri 63130, USA
| | - J M Roberts
- Department of Physics and Astronomy, University of Hawaii, Manoa, Hawaii 96822, USA
| | - A Romero-Wolf
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California 91109, USA
| | - B Rotter
- Department of Physics and Astronomy, University of Hawaii, Manoa, Hawaii 96822, USA
| | - J W Russell
- Department of Physics and Astronomy, University of Hawaii, Manoa, Hawaii 96822, USA
| | - D Saltzberg
- Department of Physics and Astronomy, University of California, Los Angeles, Los Angeles, California 90095, USA
| | - D Seckel
- Department of Physics, University of Delaware, Newark, Delaware 19716, USA
| | - H Schoorlemmer
- Max-Planck-Institute für Kernphysik, 69029 Heidelberg, Germany
| | - J Shiao
- Department of Physics, Graduate Institute of Astrophysics, and Leung Center for Cosmology and Particle Astrophysics, National Taiwan University, Taipei 10617, Taiwan
| | - S Stafford
- Department of Physics, Center for Cosmology and AstroParticle Physics, The Ohio State University, Columbus, Ohio 43210, USA
| | - J Stockham
- Department of Physics and Astronomy, University of Kansas, Lawrence, Kansas 66045, USA
| | - M Stockham
- Department of Physics and Astronomy, University of Kansas, Lawrence, Kansas 66045, USA
| | - B Strutt
- Department of Physics and Astronomy, University of California, Los Angeles, Los Angeles, California 90095, USA
| | - M S Sutherland
- Department of Physics, Enrico Fermi Institute, Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - G S Varner
- Department of Physics and Astronomy, University of Hawaii, Manoa, Hawaii 96822, USA
| | - A G Vieregg
- Department of Physics, Enrico Fermi Institute, Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - S H Wang
- Department of Physics, Graduate Institute of Astrophysics, and Leung Center for Cosmology and Particle Astrophysics, National Taiwan University, Taipei 10617, Taiwan
| | - S A Wissel
- Department of Physics, Department of Astronomy and Astrophysics, Pennsylvania State University, University Park, Pennsylvania 16801, USA
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31
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McCarthy AM, Friebel T, He W, Welch M, Ehsan S, Hughes K, Semine A, Chen J, Kontos D, Domchek S, Conant E, Bardia A, Lehman C, Armstrong K. Abstract PS7-02: The relationship of established breast cancer risk factors with breast cancer subtypes. Cancer Res 2021. [DOI: 10.1158/1538-7445.sabcs20-ps7-02] [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: Molecular characterization of breast tumors has revealed four subtypes which differ in expression of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2). Breast cancer subtypes have different prognosis and unique risk factors. Breast cancer risk assessment models mainly reflect risk of ER/PR+ HER2- tumors, the most common subtype, and may not reflect risk of other subtypes. The study objective was to compare associations of established breast cancer risk factors across invasive breast cancer subtypes.
Methods: The study population included women aged 40-84 years who had a screening mammogram at Massachusetts General Hospital, Newton Wellesley Hospital, or the University of Pennsylvania from 2006-2015. Patients completed a risk factor questionnaire and additional risk factors were ascertained from clinical records. Women with prior breast cancer, breast implants, or BRCA1/2 mutations were excluded. Women diagnosed with breast cancer within 6 months were excluded to remove those with cancer at the time of risk assessment. Tumor characteristics were obtained from linkage with hospital and state cancer registries. For invasive tumors, subtype was defined based on immunohistochemistry as ER and/or PR+ HER2-, ER and/or PR+HER2+, ER and PR- HER2+, or ER and PR and HER2- (triple negative breast cancer, TNBC). Cox proportional hazards models were used to estimate hazard ratios (HR) and 95% confidence intervals (CI) for breast cancer using time from mammogram to cancer diagnosis or censoring. Separate Cox models were fit for each subtype, and patients who developed DCIS or another subtype, died, or were alive and cancer free on December 31, 2017 were censored. Age, biopsy history, atypical hyperplasia, age at menarche, age at first live birth, family history, race, BMI, and breast density at the time of screening were included in the models.
Results: The study population (N=197,836) had a mean age of 54 years and 74% of patients were white, 15% were Black, and 11% were other races. During a mean follow-up of 6.3 years, 4,510 (2.3%) women developed breast cancer. Of these cancers, 1068 (24%) were DCIS. Of the invasive cancers, 2675 (77%) were ER/PR+HER2-, 290 (8%) were ER/PR+HER2+, 108 (3%) were ER/PR-HER2+, 264 (8%) were TNBC and 105 (3%) had missing subtype. For ER/PR+HER2- cancers, all risk factors were consistent with the literature and statistically significant. Breast density was associated with increased risk of all four subtypes compared to women with less dense breasts. Atypical hyperplasia was strongly associated with HER2+ cancers (HR=2.97 CI 1.63-5.40 p<0.01), less strongly associated with ER/PR+HER2- cancers, and not significantly associated with TNBC. Black women had higher risk of TNBC than white women (HR=2.61 CI 1.91-3.57 p<0.01).
Conclusion Our results highlight both similarities and heterogeneity in risk factors across breast cancer subtypes. Prior diagnosis of atypical hyperplasia was more strongly associated with HER2+ compared to HER2- tumors. While it is well known that Black women have higher risk of TNBC, it is striking that the more than two-and-a-half-fold increased risk persisted even with comprehensive adjustment for breast cancer risk factors in a screened population. These results suggest that additional factors, such as genetics, biomarkers, and environmental exposures should be included in risk assessment to better capture risk of less common breast cancer subtypes such as TNBC.
Risk factors for breast cancer subtypes among 197,836 women undergoing screening mammography*ER/PR+ HER2- N=2674ER/PR+ HER2+ N=290ER/PR-HER2+ N=108ER/PR/HER2- N=264HR,95% CIpHR,95% CIpHR,95% CIpHR,95% CIpBlack vs. white unadjusted0.67,0.58-0.77<0.010.73,0.48-1.090.120.91,0.49-1.680.772.61,1.96-3.46<0.01Black vs. white multivariate*0.72,0.63-0.83<0.010.75,0.49-1.150.191.23,0.65-2.330.532.61,1.91-3.57<0.01Atypical Hyperplasia*1.38,1.02-1.870.042.77,1.42-5.42<0.013.89,1.03-14.70.040.43,0.06-3.140.401 FDR** vs. none1.46,1.32-1.63<0.011.16,0.82-1.650.391.93,1.18-3.160.011.11,0.75-1.630.602 FDR** vs. none2.12,1.67-2.71<0.011.17,0.44-3.150.751.90,0.47-7.760.372.81,1.44-5.49<0.01BMI ≥25 vs. <25 kg/m2*1.37,1.25-1.50<0.011.35,1.04-1.750.031.07,0.71-1.640.741.29,0.97-1.730.08Dense vs. non-dense breasts1.55,1.42-1.69<0.011.75,1.34-2.29<0.011.97,1.25-3.10<0.011.65,1.26-2.17<0.01*Adjusted for all factors in the table and additionally age, biopsy, age at menarche, age at first live birth**FDR= first degree relative with breast cancer
Citation Format: Anne Marie McCarthy, Tara Friebel, Wei He, Michaela Welch, Sarah Ehsan, Kevin Hughes, Alan Semine, Jinbo Chen, Despina Kontos, Susan Domchek, Emily Conant, Aditya Bardia, Constance Lehman, Katrina Armstrong. The relationship of established breast cancer risk factors with breast cancer subtypes [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr PS7-02.
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Affiliation(s)
| | - Tara Friebel
- 1University of Pennsylvania School of Medicine, Philadelphia, PA
| | - Wei He
- 2Massachusetts General Hospital, Boston, MA
| | | | - Sarah Ehsan
- 1University of Pennsylvania School of Medicine, Philadelphia, PA
| | | | | | - Jinbo Chen
- 1University of Pennsylvania School of Medicine, Philadelphia, PA
| | - Despina Kontos
- 1University of Pennsylvania School of Medicine, Philadelphia, PA
| | - Susan Domchek
- 1University of Pennsylvania School of Medicine, Philadelphia, PA
| | - Emily Conant
- 1University of Pennsylvania School of Medicine, Philadelphia, PA
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Salunke S, Clapham D, Agrawal A, Hughes K, Nunn T. Best practices for selection of excipients for paediatrics - Workshop reflection. Eur J Pharm Biopharm 2021; 160:77-81. [PMID: 33400989 DOI: 10.1016/j.ejpb.2020.12.021] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Revised: 11/27/2020] [Accepted: 12/29/2020] [Indexed: 11/15/2022]
Abstract
The development of age appropriate formulations for the paediatric population has become one of the key areas of focus for the pharmaceutical industry - with a subsequent influence on excipient use. Selection of excipients with appropriate safety and tolerability is a major hurdle in paediatric formulation development. Various factors influence selection of excipients, including target age group, route of administration and dosage form. Evaluation of these factors and a clear rationale and justification is expected by the regulators when it comes to selecting excipients for paediatric formulation. Scientists are encouraged to apply the principle of benefit to risk balance to assess the suitability of excipients to the specific paediatric population for whom the formulation is intended. In order to understand how scientists approach the task of establishing the risk to benefit analysis, a workshop was organised by the European Paediatric Formulation Initiative (EuPFI) to reflect on the current scenario and the different practices employed by formulation scientists in the selection of excipients for paediatric formulations. Aspects assessed by regulators were also canvassed. Finally, the participants were asked to comment on how selecting excipients for use in paediatric formulations may differ from the considerations applied in selecting excipients for formulations for other age groups. Based on the workshop discussion, some recommendations and questions to consider emerged regarding the selection of excipients in paediatric drug development. These best practice recommendations provided a good starting point for a more systematic strategy for selecting excipients for paediatric formulation development.
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Affiliation(s)
- Smita Salunke
- European Paediatric Formulation Initiative (EuPFI), University College London School of Pharmacy, London, UK.
| | - David Clapham
- Independent Pharmaceutical Consultant, 14 Tailors, Bishops Stortford CM23 4FQ, UK.
| | - Anjali Agrawal
- Bristol Myers Squibb, 181 Passaic Avenue, Summit, NJ, USA.
| | - Kevin Hughes
- IPEC (International Pharmaceutical Excipients Council) and Colorcon Ltd, Dartford, UK.
| | - Tony Nunn
- Department of Women's and Children's Health, University of Liverpool, Liverpool Women's Hospital, Liverpool L8 7SS, UK.
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Olivares G, Hermes D, Manzanilla E, Hughes K, Clarke L, Warland J. The utility of Amies charcoal bacteriology swabs for storage of canine urine prior to culture. J Small Anim Pract 2020; 62:216-222. [PMID: 33274769 DOI: 10.1111/jsap.13269] [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] [Received: 10/17/2019] [Revised: 09/16/2020] [Accepted: 10/26/2020] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To determine the usefulness of bacteriology swabs as a storage method of canine urine samples and the effect on quantitative bacterial culture. MATERIALS AND METHODS Two hundred fourteen canine urine samples were collected by cystocentesis. The reference aliquot was placed in a sterile tube and processed for quantitative bacterial culture within 6 hours. A bacteriology swab was then immersed in the urine for 5 seconds and returned to the charcoal Amies media container. The urine samples in the sterile tube and bacteriology swab were stored at room temperature for 48 hours and processed for quantitative bacterial culture. RESULTS Thirty-seven of the samples were positive on reference culture with a total of 42 bacterial isolates. Samples stored in sterile tube and bacteriology swab had identical sensitivity and specificity for detection of bacteriuria (94.7% and 100%, respectively) with very good agreement (κ = 0.92; 95% CI 0.81 to 1.00). Agreement between the bacterial species of the reference sample and the bacteriology swab was higher (κ = 0.85; 95% CI 0.71 to 0.99) than compared to the sterile tube (κ = 0.78; 95% CI 0.62 to 0.94), but the overlapping confidence intervals mean improved agreement cannot be inferred. CLINICAL SIGNIFICANCE Bacteriology swabs stored in Amies charcoal transport media should be considered an alternative method to preserve canine urine sample when immediate processing for quantitative bacterial culture is not possible. The sensitivity of culturing plain urine, stored for 48 hours in a sterile tube, for detection of bacteriuria, was higher than previously reported.
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Affiliation(s)
- G Olivares
- Department of Small Animal Internal Medicine, Animal Health Trust, Newmarket, Suffolk, CB8 7UU, UK
| | - D Hermes
- Diagnostic Microbiology, Animal Health Trust, Newmarket, Suffolk, CB8 7UU, UK
| | - E Manzanilla
- Teagasc - Irish Agriculture and Food Development Authority, Moorepark Animal and Grassland Research Centre, Teagasc Moorepark, Cork, IE, P61 C996, Ireland.,School of Veterinary Medicine, University College Dublin, Dublin, IE, 4, Ireland
| | - K Hughes
- Diagnostic Microbiology, Animal Health Trust, Newmarket, Suffolk, CB8 7UU, UK
| | - L Clarke
- Diagnostic Microbiology, Animal Health Trust, Newmarket, Suffolk, CB8 7UU, UK
| | - J Warland
- Department of Small Animal Internal Medicine, Animal Health Trust, Newmarket, Suffolk, CB8 7UU, UK
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Abstract
Ro60 ribonucleoproteins (RNPs), composed of the ring-shaped Ro 60-kDa (Ro60) protein and noncoding RNAs called Y RNAs, are present in all three domains of life. Ro60 was first described as an autoantigen in patients with rheumatic disease, and Ro60 orthologs have been identified in 3% to 5% of bacterial genomes, spanning the majority of phyla. Their functions have been characterized primarily in Deinococcus radiodurans, the first sequenced bacterium with a recognizable ortholog. In D. radiodurans, the Ro60 ortholog enhances the ability of 3'-to-5' exoribonucleases to degrade structured RNA during several forms of environmental stress. Y RNAs are regulators that inhibit or allow the interactions of Ro60 with other proteins and RNAs. Studies of Ro60 RNPs in other bacteria hint at additional functions, since the most conserved Y RNA contains a domain that is a close tRNA mimic and Ro60 RNPs are often encoded adjacent to components of RNA repair systems.
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Affiliation(s)
- Soyeong Sim
- RNA Biology Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, Maryland 21702, USA; , , ,
| | - Kevin Hughes
- RNA Biology Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, Maryland 21702, USA; , , ,
- Department of Cell Biology, Yale School of Medicine, New Haven, Connecticut 06510, USA
| | - Xinguo Chen
- RNA Biology Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, Maryland 21702, USA; , , ,
| | - Sandra L Wolin
- RNA Biology Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, Maryland 21702, USA; , , ,
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McLean KA, Ahmed WUR, Akhbari M, Claireaux HA, English C, Frost J, Henshall DE, Khan M, Kwek I, Nicola M, Rehman S, Varghese S, Drake TM, Bell S, Nepogodiev D, McLean KA, Drake TM, Glasbey JC, Borakati A, Drake TM, Kamarajah S, McLean KA, Bath MF, Claireaux HA, Gundogan B, Mohan M, Deekonda P, Kong C, Joyce H, Mcnamee L, Woin E, Burke J, Khatri C, Fitzgerald JE, Harrison EM, Bhangu A, Nepogodiev D, Arulkumaran N, Bell S, Duthie F, Hughes J, Pinkney TD, Prowle J, Richards T, Thomas M, Dynes K, Patel M, Patel P, Wigley C, Suresh R, Shaw A, Klimach S, Jull P, Evans D, Preece R, Ibrahim I, Manikavasagar V, Smith R, Brown FS, Deekonda P, Teo R, Sim DPY, Borakati A, Logan AE, Barai I, Amin H, Suresh S, Sethi R, Bolton W, Corbridge O, Horne L, Attalla M, Morley R, Robinson C, Hoskins T, McAllister R, Lee S, Dennis Y, Nixon G, Heywood E, Wilson H, Ng L, Samaraweera S, Mills A, Doherty C, Woin E, Belchos J, Phan V, Chouari T, Gardner T, Goergen N, Hayes JDB, MacLeod CS, McCormack R, McKinley A, McKinstry S, Milligan W, Ooi L, Rafiq NM, Sammut T, Sinclair E, Smith M, Baker C, Boulton APR, Collins J, Copley HC, Fearnhead N, Fox H, Mah T, McKenna J, Naruka V, Nigam N, Nourallah B, Perera S, Qureshi A, Saggar S, Sun L, Wang X, Yang DD, Caroll P, Doyle C, Elangovan S, Falamarzi A, Perai KG, Greenan E, Jain D, Lang-Orsini M, Lim S, O'Byrne L, Ridgway P, Van der Laan S, Wong J, Arthur J, Barclay J, Bradley P, Edwin C, Finch E, Hayashi E, Hopkins M, Kelly D, Kelly M, McCartan N, Ormrod A, Pakenham A, Hayward J, Hitchen C, Kishore A, Martins T, Philomen J, Rao R, Rickards C, Burns N, Copeland M, Durand C, Dyal A, Ghaffar A, Gidwani A, Grant M, Gribbon C, Gruhn A, Leer M, Ahmad K, Beattie G, Beatty M, Campbell G, Donaldson G, Graham S, Holmes D, Kanabar S, Liu H, McCann C, Stewart R, Vara S, Ajibola-Taylor O, Andah EJE, Ani C, Cabdi NMO, Ito G, Jones M, Komoriyama A, Patel P, Titu L, Basra M, Gallogly P, Harinath G, Leong SH, Pradhan A, Siddiqui I, Zaat S, Ali A, Galea M, Looi WL, Ng JCK, Atkin G, Azizi A, Cargill Z, China Z, Elliot J, Jebakumar R, Lam J, Mudalige G, Onyerindu C, Renju M, Babu VS, Hussain M, Joji N, Lovett B, Mownah H, Ali B, Cresswell B, Dhillon AK, Dupaguntla YS, Hungwe C, Lowe-Zinola JD, Tsang JCH, Bevan K, Cardus C, Duggal A, Hossain S, McHugh M, Scott M, Chan F, Evans R, Gurung E, Haughey B, Jacob-Ramsdale B, Kerr M, Lee J, McCann E, O'Boyle K, Reid N, Hayat F, Hodgson S, Johnston R, Jones W, Khan M, Linn T, Long S, Seetharam P, Shaman S, Smart B, Anilkumar A, Davies J, Griffith J, Hughes B, Islam Y, Kidanu D, Mushaini N, Qamar I, Robinson H, Schramm M, Tan CY, Apperley H, Billyard C, Blazeby JM, Cannon SP, Carse S, Göpfert A, Loizidou A, Parkin J, Sanders E, Sharma S, Slade G, Telfer R, Huppatz IW, Worley E, Chandramoorthy L, Friend C, Harris L, Jain P, Karim MJ, Killington K, McGillicuddy J, Rafferty C, Rahunathan N, Rayne T, Varathan Y, Verma N, Zanichelli D, Arneill M, Brown F, Campbell B, Crozier L, Henry J, McCusker C, Prabakaran P, Wilson R, Asif U, Connor M, Dindyal S, Math N, Pagarkar A, Saleem H, Seth I, Sharma S, Standfield N, Swartbol T, Adamson R, Choi JE, El Tokhy O, Ho W, Javaid NR, Kelly M, Mehdi AS, Menon D, Plumptre I, Sturrock S, Turner J, Warren O, Crane E, Ferris B, Gadsby C, Smallwood J, Vipond M, Wilson V, Amarnath T, Doshi A, Gregory C, Kandiah K, Powell B, Spoor H, Toh C, Vizor R, Common M, Dunleavy K, Harris S, Luo C, Mesbah Z, Kumar AP, Redmond A, Skulsky S, Walsh T, Daly D, Deery L, Epanomeritakis E, Harty M, Kane D, Khan K, Mackey R, McConville J, McGinnity K, Nixon G, Ang A, Kee JY, Leung E, Norman S, Palaniappan SV, Sarathy PP, Yeoh T, Frost J, Hazeldine P, Jones L, Karbowiak M, Macdonald C, Mutarambirwa A, Omotade A, Runkel M, Ryan G, Sawers N, Searle C, Suresh S, Vig S, Ahmad A, McGartland R, Sim R, Song A, Wayman J, Brown R, Chang LH, Concannon K, Crilly C, Arnold TJ, Burgin A, Cadden F, Choy CH, Coleman M, Lim D, Luk J, Mahankali-Rao P, Prudence-Taylor AJ, Ramakrishnan D, Russell J, Fawole A, Gohil J, Green B, Hussain A, McMenamin L, McMenamin L, Tang M, Azmi F, Benchetrit S, Cope T, Haque A, Harlinska A, Holdsworth R, Ivo T, Martin J, Nisar T, Patel A, Sasapu K, Trevett J, Vernet G, Aamir A, Bird C, Durham-Hall A, Gibson W, Hartley J, May N, Maynard V, Johnson S, Wood CM, O'Brien M, Orbell J, Stringfellow TD, Tenters F, Tresidder S, Cheung W, Grant A, Tod N, Bews-Hair M, Lim ZH, Lim SW, Vella-Baldacchino M, Auckburally S, Chopada A, Easdon S, Goodson R, McCurdie F, Narouz M, Radford A, Rea E, Taylor O, Yu T, Alfa-Wali M, Amani L, Auluck I, Bruce P, Emberton J, Kumar R, Lagzouli N, Mehta A, Murtaza A, Raja M, Dennahy IS, Frew K, Given A, He YY, Karim MA, MacDonald E, McDonald E, McVinnie D, Ng SK, Pettit A, Sim DPY, Berthaume-Hawkins SD, Charnley R, Fenton K, Jones D, Murphy C, Ng JQ, Reehal R, Robinson H, Seraj SS, Shang E, Tonks A, White P, Yeo A, Chong P, Gabriel R, Patel N, Richardson E, Symons L, Aubrey-Jones D, Dawood S, Dobrzynska M, Faulkner S, Griffiths H, Mahmood F, Patel P, Perry M, Power A, Simpson R, Ali A, Brobbey P, Burrows A, Elder P, Ganyani R, Horseman C, Hurst P, Mann H, Marimuthu K, McBride S, Pilsworth E, Powers N, Stanier P, Innes R, Kersey T, Kopczynska M, Langasco N, Patel N, Rajagopal R, Atkins B, Beasley W, Lim ZC, Gill A, Ang HL, Williams H, Yogeswara T, Carter R, Fam M, Fong J, Latter J, Long M, Mackinnon S, McKenzie C, Osmanska J, Raghuvir V, Shafi A, Tsang K, Walker L, Bountra K, Coldicutt O, Fletcher D, Hudson S, Iqbal S, Bernal TL, Martin JWB, Moss-Lawton F, Smallwood J, Vipond M, Cardwell A, Edgerton K, Laws J, Rai A, Robinson K, Waite K, Ward J, Youssef H, Knight C, Koo PY, Lazarou A, Stanger S, Thorn C, Triniman MC, Botha A, Boyles L, Cumming S, Deepak S, Ezzat A, Fowler AJ, Gwozdz AM, Hussain SF, Khan S, Li H, Morrell BL, Neville J, Nitiahpapand R, Pickering O, Sagoo H, Sharma E, Welsh K, Denley S, Khan S, Agarwal M, Al-Saadi N, Bhambra R, Gupta A, Jawad ZAR, Jiao LR, Khan K, Mahir G, Singagireson S, Thoms BL, Tseu B, Wei R, Yang N, Britton N, Leinhardt D, Mahfooz M, Palkhi A, Price M, Sheikh S, Barker M, Bowley D, Cant M, Datta U, Farooqi M, Lee A, Morley G, Amin MN, Parry A, Patel S, Strang S, Yoganayagam N, Adlan A, Chandramoorthy S, Choudhary Y, Das K, Feldman M, France B, Grace R, Puddy H, Soor P, Ali M, Dhillon P, Faraj A, Gerard L, Glover M, Imran H, Kim S, Patrick Y, Peto J, Prabhudesai A, Smith R, Tang A, Vadgama N, Dhaliwal R, Ecclestone T, Harris A, Ong D, Patel D, Philp C, Stewart E, Wang L, Wong E, Xu Y, Ashaye T, Fozard T, Galloway F, Kaptanis S, Mistry P, Nguyen T, Olagbaiye F, Osman M, Philip Z, Rembacken R, Tayeh S, Theodoropoulou K, Herman A, Lau J, Saha A, Trotter M, Adeleye O, Cave D, Gunwa T, Magalhães J, Makwana S, Mason R, Parish M, Regan H, Renwick P, Roberts G, Salekin D, Sivakumar C, Tariq A, Liew I, McDade A, Stewart D, Hague M, Hudson-Peacock N, Jackson CES, James F, Pitt J, Walker EY, Aftab R, Ang JJ, Anwar S, Battle J, Budd E, Chui J, Crook H, Davies P, Easby S, Hackney E, Ho B, Imam SZ, Rammell J, Andrews H, Perry C, Schinle P, Ahmed P, Aquilina T, Balai E, Church M, Cumber E, Curtis A, Davies G, Dennis Y, Dumann E, Greenhalgh S, Kim P, King S, Metcalfe KHM, Passby L, Redgrave N, Soonawalla Z, Waters S, Zornoza A, Gulzar I, Hole J, Hull K, Ishaq H, Karaj J, Kelkar A, Love E, Patel S, Thakrar D, Vine M, Waterman A, Dib NP, Francis N, Hanson M, Ingleton R, Sadanand KS, Sukirthan N, Arnell S, Ball M, Bassam N, Beghal G, Chang A, Dawe V, George A, Huq T, Hussain A, Ikram B, Kanapeckaite L, Khan M, Ramjas D, Rushd A, Sait S, Serry M, Yardimci E, Capella S, Chenciner L, Episkopos C, Karam E, McCarthy C, Moore-Kelly W, Watson N, Ahluwalia V, Barnfield J, Ben-Gal O, Bloom I, Gharatya A, Khodatars K, Merchant N, Moonan A, Moore M, Patel K, Spiers H, Sundaram K, Turner J, Bath MF, Black J, Chadwick H, Huisman L, Ingram H, Khan S, Martin L, Metcalfe M, Sangal P, Seehra J, Thatcher A, Venturini S, Whitcroft I, Afzal Z, Brown S, Gani A, Gomaa A, Hussein N, Oh SY, Pazhaniappan N, Sharkey E, Sivagnanasithiyar T, Williams C, Yeung J, Cruddas L, Gurjar S, Pau A, Prakash R, Randhawa R, Chen L, Eiben I, Naylor M, Osei-Bordom D, Trenear R, Bannard-Smith J, Griffiths N, Patel BY, Saeed F, Abdikadir H, Bennett M, Church R, Clements SE, Court J, Delvi A, Hubert J, Macdonald B, Mansour F, Patel RR, Perris R, Small S, Betts A, Brown N, Chong A, Croitoru C, Grey A, Hickland P, Ho C, Hollington D, McKie L, Nelson AR, Stewart H, Eiben P, Nedham M, Ali I, Brown T, Cumming S, Hunt C, Joyner C, McAlinden C, Roberts J, Rogers D, Thachettu A, Tyson N, Vaughan R, Verma N, Yasin T, Andrew K, Bhamra N, Leong S, Mistry R, Noble H, Rashed F, Walker NR, Watson L, Worsfold M, Yarham E, Abdikadir H, Arshad A, Barmayehvar B, Cato L, Chan-lam N, Do V, Leong A, Sheikh Z, Zheleniakova T, Coppel J, Hussain ST, Mahmood R, Nourzaie R, Prowle J, Sheik-Ali S, Thomas A, Alagappan A, Ashour R, Bains H, Diamond J, Gordon J, Ibrahim B, Khalil M, Mittapalli D, Neo YN, Patil P, Peck FS, Reza N, Swan I, Whyte M, Chaudhry S, Hernon J, Khawar H, O'Brien J, Pullinger M, Rothnie K, Ujjal S, Bhatte S, Curtis J, Green S, Mayer A, Watkinson G, Chapple K, Hawthorne T, Khaliq M, Majkowski L, Malik TAM, Mclauchlan K, En BNW, Parton S, Robinson SD, Saat MI, Shurovi BN, Varatharasasingam K, Ward AE, Behranwala K, Bertelli M, Cohen J, Duff F, Fafemi O, Gupta R, Manimaran M, Mayhew J, Peprah D, Wong MHY, Farmer N, Houghton C, Kandhari N, Khan K, Ladha D, Mayes J, McLennan F, Panahi P, Seehra H, Agrawal R, Ahmed I, Ali S, Birkinshaw F, Choudhry M, Gokani S, Harrogate S, Jamal S, Nawrozzadeh F, Swaray A, Szczap A, Warusavitarne J, Abdalla M, Asemota N, Cullum R, Hartley M, Maxwell-Armstrong C, Mulvenna C, Phillips J, Yule A, Ahmed L, Clement KD, Craig N, Elseedawy E, Gorman D, Kane L, Livie J, Livie V, Moss E, Naasan A, Ravi F, Shields P, Zhu Y, Archer M, Cobley H, Dennis R, Downes C, Guevel B, Lamptey E, Murray H, Radhakrishnan A, Saravanabavan S, Sardar M, Shaw C, Tilliridou V, Wright R, Ye W, Alturki N, Helliwell R, Jones E, Kelly D, Lambotharan S, Scott K, Sivakumar R, Victor L, Boraluwe-Rallage H, Froggatt P, Haynes S, Hung YMA, Keyte A, Matthews L, Evans E, Haray P, John I, Mathivanan A, Morgan L, Oji O, Okorocha C, Rutherford A, Spiers H, Stageman N, Tsui A, Whitham R, Amoah-Arko A, Cecil E, Dietrich A, Fitzpatrick H, Guy C, Hair J, Hilton J, Jawad L, McAleer E, Taylor Z, Yap J, Akhbari M, Debnath D, Dhir T, Elbuzidi M, Elsaddig M, Glace S, Khawaja H, Koshy R, Lal K, Lobo L, McDermott A, Meredith J, Qamar MA, Vaidya A, Acquaah F, Barfi L, Carter N, Gnanappiragasam D, Ji C, Kaminski F, Lawday S, Mackay K, Sulaiman SK, Webb R, Ananthavarathan P, Dalal F, Farrar E, Hashemi R, Hossain M, Jiang J, Kiandee M, Lex J, Mason L, Matthews JH, McGeorge E, Modhwadia S, Pinkney T, Radotra A, Rickard L, Rodman L, Sales A, Tan KL, Bachi A, Bajwa DS, Battle J, Brown LR, Butler A, Calciu A, Davies E, Gardner I, Girdlestone T, Ikogho O, Keelan G, O'Loughlin P, Tam J, Elias J, Ngaage M, Thompson J, Bristow S, Brock E, Davis H, Pantelidou M, Sathiyakeerthy A, Singh K, Chaudhry A, Dickson G, Glen P, Gregoriou K, Hamid H, Mclean A, Mehtaji P, Neophytou G, Potts S, Belgaid DR, Burke J, Durno J, Ghailan N, Hanson M, Henshaw V, Nazir UR, Omar I, Riley BJ, Roberts J, Smart G, Van Winsen K, Bhatti A, Chan M, D'Auria M, Green S, Keshvala C, Li H, Maxwell-Armstrong C, Michaelidou M, Simmonds L, Smith C, Wimalathasan A, Abbas J, Cairns C, Chin YR, Connelly A, Moug S, Nair A, Svolkinas D, Coe P, Subar D, Wang H, Zaver V, Brayley J, Cookson P, Cunningham L, Gaukroger A, Ho M, Hough A, King J, O'Hagan D, Widdison A, Brown R, Brown B, Chavan A, Francis S, Hare L, Lund J, Malone N, Mavi B, McIlwaine A, Rangarajan S, Abuhussein N, Campbell HS, Daniels J, Fitzgerald I, Mansfield S, Pendrill A, Robertson D, Smart YW, Teng T, Yates J, Belgaumkar A, Katira A, Kossoff J, Kukran S, Laing C, Mathew B, Mohamed T, Myers S, Novell R, Phillips BL, Thomas M, Turlejski T, Turner S, Varcada M, Warren L, Wynell-Mayow W, Church R, Linley-Adams L, Osborn G, Saunders M, Spencer R, Srikanthan M, Tailor S, Tullett A, Ali M, Al-Masri S, Carr G, Ebhogiaye O, Heng S, Manivannan S, Manley J, McMillan LE, Peat C, Phillips B, Thomas S, Whewell H, Williams G, Bienias A, Cope EA, Courquin GR, Day L, Garner C, Gimson A, Harris C, Markham K, Moore T, Nadin T, Phillips C, Subratty SM, Brown K, Dada J, Durbacz M, Filipescu T, Harrison E, Kennedy ED, Khoo E, Kremel D, Lyell I, Pronin S, Tummon R, Ventre C, Walls L, Wootton E, Akhtar A, Davies E, El-Sawy D, Farooq M, Gaddah M, Griffiths H, Katsaiti I, Khadem N, Leong K, Williams I, Chean CS, Chudek D, Desai H, Ellerby N, Hammad A, Malla S, Murphy B, Oshin O, Popova P, Rana S, Ward T, Abbott TEF, Akpenyi O, Edozie F, El Matary R, English W, Jeyabaladevan S, Morgan C, Naidu V, Nicholls K, Peroos S, Prowle J, Sansome S, Torrance HD, Townsend D, Brecher J, Fung H, Kazmi Z, Outlaw P, Pursnani K, Ramanujam N, Razaq A, Sattar M, Sukumar S, Tan TSE, Chohan K, Dhuna S, Haq T, Kirby S, Lacy-Colson J, Logan P, Malik Q, McCann J, Mughal Z, Sadiq S, Sharif I, Shingles C, Simon A, Burnage S, Chan SSN, Craig ARJ, Duffield J, Dutta A, Eastwood M, Iqbal F, Mahmood F, Mahmood W, Patel C, Qadeer A, Robinson A, Rotundo A, Schade A, Slade RD, De Freitas M, Kinnersley H, McDowell E, Moens-Lecumberri S, Ramsden J, Rockall T, Wiffen L, Wright S, Bruce C, Francois V, Hamdan K, Limb C, Lunt AJ, Manley L, Marks M, Phillips CFE, Agnew CJF, Barr CJ, Benons N, Hart SJ, Kandage D, Krysztopik R, Mahalingam P, Mock J, Rajendran S, Stoddart MT, Clements B, Gillespie H, Lee S, McDougall R, Murray C, O'Loane R, Periketi S, Tan S, Amoah R, Bhudia R, Dudley B, Gilbert A, Griffiths B, Khan H, McKigney N, Roberts B, Samuel R, Seelarbokus A, Stubbing-Moore A, Thompson G, Williams P, Ahmed N, Akhtar R, Chandler E, Chappelow I, Gil H, Gower T, Kale A, Lingam G, Rutler L, Sellahewa C, Sheikh A, Stringer H, Taylor R, Aglan H, Ashraf MR, Choo S, Das E, Epstein J, Gentry R, Mills D, Poolovadoo Y, Ward N, Bull K, Cole A, Hack J, Khawari S, Lake C, Mandishona T, Perry R, Sleight S, Sultan S, Thornton T, Williams S, Arif T, Castle A, Chauhan P, Chesner R, Eilon T, Kamarajah S, Kambasha C, Lock L, Loka T, Mohammad F, Motahariasl S, Roper L, Sadhra SS, Sheikh A, Toma T, Wadood Q, Yip J, Ainger E, Busti S, Cunliffe L, Flamini T, Gaffing S, Moorcroft C, Peter M, Simpson L, Stokes E, Stott G, Wilson J, York J, Yousaf A, Borakati A, Brown M, Goaman A, Hodgson B, Ijeomah A, Iroegbu U, Kaur G, Lowe C, Mahmood S, Sattar Z, Sen P, Szuman A, Abbas N, Al-Ausi M, Anto N, Bhome R, Eccles L, Elliott J, Hughes EJ, Jones A, Karunatilleke AS, Knight JS, Manson CCF, Mekhail I, Michaels L, Noton TM, Okenyi E, Reeves T, Yasin IH, Banfield DA, Harris R, Lim D, Mason-Apps C, Roe T, Sandhu J, Shafiq N, Stickler E, Tam JP, Williams LM, Ainsworth P, Boualbanat Y, Doull C, Egan E, Evans L, Hassanin K, Ninkovic-Hall G, Odunlami W, Shergill M, Traish M, Cummings D, Kershaw S, Ong J, Reid F, Toellner H, Alwandi A, Amer M, George D, Haynes K, Hughes K, Peakall L, Premakumar Y, Punjabi N, Ramwell A, Sawkins H, Ashwood J, Baker A, Baron C, Bhide I, Blake E, De Cates C, Esmail R, Hosamuddin H, Kapp J, Nguru N, Raja M, Thomson F, Ahmed H, Aishwarya G, Al-Huneidi R, Ali S, Aziz R, Burke D, Clarke B, Kausar A, Maskill D, Mecia L, Myers L, Smith ACD, Walker G, Wroe N, Donohoe C, Gibbons D, Jordan P, Keogh C, Kiely A, Lalor P, McCrohan M, Powell C, Foley MP, Reynolds J, Silke E, Thorpe O, Kong JTH, White C, Ali Q, Dalrymple J, Ge Y, Khan H, Luo RS, Paine H, Paraskeva B, Parker L, Pillai K, Salciccioli J, Selvadurai S, Sonagara V, Springford LR, Tan L, Appleton S, Leadholm N, Zhang Y, Ahern D, Cotter M, Cremen S, Durrigan T, Flack V, Hrvacic N, Jones H, Jong B, Keane K, O'Connell PR, O'sullivan J, Pek G, Shirazi S, Barker C, Brown A, Carr W, Chen Y, Guillotte C, Harte J, Kokayi A, Lau K, McFarlane S, Morrison S, Broad J, Kenefick N, Makanji D, Printz V, Saito R, Thomas O, Breen H, Kirk S, Kong CH, O'Kane A, Eddama M, Engledow A, Freeman SK, Frost A, Goh C, Lee G, Poonawala R, Suri A, Taribagil P, Brown H, Christie S, Dean S, Gravell R, Haywood E, Holt F, Pilsworth E, Rabiu R, Roscoe HW, Shergill S, Sriram A, Sureshkumar A, Tan LC, Tanna A, Vakharia A, Bhullar S, Brannick S, Dunne E, Frere M, Kerin M, Kumar KM, Pratumsuwan T, Quek R, Salman M, Van Den Berg N, Wong C, Ahluwalia J, Bagga R, Borg CM, Calabria C, Draper A, Farwana M, Joyce H, Khan A, Mazza M, Pankin G, Sait MS, Sandhu N, Virani N, Wong J, Woodhams K, Croghan N, Ghag S, Hogg G, Ismail O, John N, Nadeem K, Naqi M, Noe SM, Sharma A, Tan S, Begum F, Best R, Collishaw A, Glasbey J, Golding D, Gwilym B, Harrison P, Jackman T, Lewis N, Luk YL, Porter T, Potluri S, Stechman M, Tate S, Thomas D, Walford B, Auld F, Bleakley A, Johnston S, Jones C, Khaw J, Milne S, O'Neill S, Singh KKR, Smith R, Swan A, Thorley N, Yalamarthi S, Yin ZD, Ali A, Balian V, Bana R, Clark K, Livesey C, McLachlan G, Mohammad M, Pranesh N, Richards C, Ross F, Sajid M, Brooke M, Francombe J, Gresly J, Hutchinson S, Kerrigan K, Matthews E, Nur S, Parsons L, Sandhu A, Vyas M, White F, Zulkifli A, Zuzarte L, Al-Mousawi A, Arya J, Azam S, Yahaya AA, Gill K, Hallan R, Hathaway C, Leptidis I, McDonagh L, Mitrasinovic S, Mushtaq N, Pang N, Peiris GB, Rinkoff S, Chan L, Christopher E, Farhan-Alanie MMH, Gonzalez-Ciscar A, Graham CJ, Lim H, McLean KA, Paterson HM, Rogers A, Roy C, Rutherford D, Smith F, Zubikarai G, Al-Khudairi R, Bamford M, Chang M, Cheng J, Hedley C, Joseph R, Mitchell B, Perera S, Rothwell L, Siddiqui A, Smith J, Taylor K, Wright OW, Baryan HK, Boyd G, Conchie H, Cox L, Davies J, Gardner S, Hill N, Krishna K, Lakin F, Scotcher S, Alberts J, Asad M, Barraclough J, Campbell A, Marshall D, Wakeford W, Cronbach P, D'Souza F, Gammeri E, Houlton J, Hall M, Kethees A, Patel R, Perera M, Prowle J, Shaid M, Webb E, Beattie S, Chadwick M, El-Taji O, Haddad S, Mann M, Patel M, Popat K, Rimmer L, Riyat H, Smith H, Anandarajah C, Cipparrone M, Desai K, Gao C, Goh ET, Howlader M, Jeffreys N, Karmarkar A, Mathew G, Mukhtar H, Ozcan E, Renukanthan A, Sarens N, Sinha C, Woolley A, Bogle R, Komolafe O, Loo F, Waugh D, Zeng R, Crewe A, Mathias J, Mills A, Owen A, Prior A, Saunders I, Baker A, Crilly L, McKeon J, Ubhi HK, Adeogun A, Carr R, Davison C, Devalia S, Hayat A, Karsan RB, Osborne C, Scott K, Weegenaar C, Wijeyaratne M, Babatunde F, Barnor-Ahiaku E, Beattie G, Chitsabesan P, Dixon O, Hall N, Ilenkovan N, Mackrell T, Nithianandasivam N, Orr J, Palazzo F, Saad M, Sandland-Taylor L, Sherlock J, Ashdown T, Chandler S, Garsaa T, Lloyd J, Loh SY, Ng S, Perkins C, Powell-Chandler A, Smith F, Underhill R. Perioperative intravenous contrast administration and the incidence of acute kidney injury after major gastrointestinal surgery: prospective, multicentre cohort study. Br J Surg 2020; 107:1023-1032. [PMID: 32026470 DOI: 10.1002/bjs.11453] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Revised: 09/21/2019] [Accepted: 11/08/2019] [Indexed: 01/14/2023]
Abstract
BACKGROUND This study aimed to determine the impact of preoperative exposure to intravenous contrast for CT and the risk of developing postoperative acute kidney injury (AKI) in patients undergoing major gastrointestinal surgery. METHODS This prospective, multicentre cohort study included adults undergoing gastrointestinal resection, stoma reversal or liver resection. Both elective and emergency procedures were included. Preoperative exposure to intravenous contrast was defined as exposure to contrast administered for the purposes of CT up to 7 days before surgery. The primary endpoint was the rate of AKI within 7 days. Propensity score-matched models were adjusted for patient, disease and operative variables. In a sensitivity analysis, a propensity score-matched model explored the association between preoperative exposure to contrast and AKI in the first 48 h after surgery. RESULTS A total of 5378 patients were included across 173 centres. Overall, 1249 patients (23·2 per cent) received intravenous contrast. The overall rate of AKI within 7 days of surgery was 13·4 per cent (718 of 5378). In the propensity score-matched model, preoperative exposure to contrast was not associated with AKI within 7 days (odds ratio (OR) 0·95, 95 per cent c.i. 0·73 to 1·21; P = 0·669). The sensitivity analysis showed no association between preoperative contrast administration and AKI within 48 h after operation (OR 1·09, 0·84 to 1·41; P = 0·498). CONCLUSION There was no association between preoperative intravenous contrast administered for CT up to 7 days before surgery and postoperative AKI. Risk of contrast-induced nephropathy should not be used as a reason to avoid contrast-enhanced CT.
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Lloyd TD, Neal‐Smith G, Fennelly J, Claireaux H, Bretherton C, Carr AJ, Murphy M, Kendrick BJ, Palmer AJR, Wong J, Sharma P, Osei‐Bonsu PK, Ashcroft G, Baigent T, Shirland E, Espey R, Stokes M, Liew I, Dhawal A, Watchorn D, Lum J, Qureshi M, Khaled AS, Kauser S, Hodhody G, Rogers S, Haywood‐Alexander B, Sheikh G, Mahapatra P, Twaij H, Chicco M, Arnaout F, Atherton T, Mutimer J, Sinha P, Oliver E, Stedman T, Gadd R, Kutuzov V, Sattar M, Robiati L, Plastow R, Howe T, Hassan A, Lau B, Collins J, Doshi A, Tan G, Baskaran D, Hari Sunil Kumar K, Agarwal R, Horner M, Gwyn R, Masud S, Beaumont O, Pilarski A, Lebe M, Dawson‐Bowling S, Nolan D, Tsitskaris K, Beamish RE, Jordan C, Alsop S, Hibbert E, Deshpande G, Gould A, Briant‐Evans T, Kilbane L, Crowther I, Ingoe H, Naisbitt A, Gourbault L, Muscat J, Goh EL, Gill J, Elbashir M, Modi N, Archer J, Ismael S, Petrie M, O'Brien H, McCormick M, Koh NP, Lloyd T, King A, Ikram A, Peake J, Yoong A, Rye DS, Newman M, Naraen A, Myatt D, Kapur R, Sgardelis P, Kohli S, Culverhouse‐Mathews M, Haynes S, Boden H, Purmah A, Shenoy R, Raja S, Koh NP, Donovan R, Yeomans D, Ritchie D, Larkin R, Aladwan R, Hughes K, Unsworth R, Cooke R, Samra I, Barrow J, Michael K, Byrne F, Anwar R, Karatzia L, Drysdale H, Wilson H, Jones R, Dass D, Liaw F, Aujla R, Kheiran A, Bell K, Ramavath AL, Telfer R, Nachev K, Lawrence H, Garg V, Shenoy P, Lacey A, Byrom I, Simons M, Manning C, Cheyne N, Williams J. Peri‐operative administration of tranexamic acid in lower limb arthroplasty: a multicentre, prospective cohort study. Anaesthesia 2020; 75:1050-1058. [DOI: 10.1111/anae.15056] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/12/2020] [Indexed: 12/20/2022]
Affiliation(s)
- T. D. Lloyd
- Nuffield Department of Orthopaedics Rheumatology and Musculoskeletal Sciences University of Oxford Oxford UK
- Oxford Surgical Collaborative for Audit and Research Oxford UK
| | - G. Neal‐Smith
- Oxford Surgical Collaborative for Audit and Research Oxford UK
| | - J. Fennelly
- Oxford Surgical Collaborative for Audit and Research Oxford UK
| | - H. Claireaux
- Oxford Surgical Collaborative for Audit and Research Oxford UK
| | - C. Bretherton
- Nuffield Department of Orthopaedics Rheumatology and Musculoskeletal Sciences University of Oxford Oxford UK
- Oxford Surgical Collaborative for Audit and Research Oxford UK
| | - A. J. Carr
- Nuffield Department of Orthopaedics Rheumatology and Musculoskeletal Sciences University of Oxford Oxford UK
| | - M. Murphy
- University of Oxford UK
- NHS Blood and Transplant Oxford UK
| | - B. J. Kendrick
- Nuffield Department of Orthopaedics Rheumatology and Musculoskeletal Sciences University of Oxford Oxford UK
| | - A. J. R. Palmer
- Nuffield Department of Orthopaedics Rheumatology and Musculoskeletal Sciences University of Oxford Oxford UK
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Santus E, Li C, Yala A, Peck D, Soomro R, Faridi N, Mamshad I, Tang R, Lanahan CR, Barzilay R, Hughes K. Do Neural Information Extraction Algorithms Generalize Across Institutions? JCO Clin Cancer Inform 2020; 3:1-8. [PMID: 31310566 DOI: 10.1200/cci.18.00160] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [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
PURPOSE Natural language processing (NLP) techniques have been adopted to reduce the curation costs of electronic health records. However, studies have questioned whether such techniques can be applied to data from previously unseen institutions. We investigated the performance of a common neural NLP algorithm on data from both known and heldout (ie, institutions whose data were withheld from the training set and only used for testing) hospitals. We also explored how diversity in the training data affects the system's generalization ability. METHODS We collected 24,881 breast pathology reports from seven hospitals and manually annotated them with nine key attributes that describe types of atypia and cancer. We trained a convolutional neural network (CNN) on annotations from either only one (CNN1), only two (CNN2), or only four (CNN4) hospitals. The trained systems were tested on data from five organizations, including both known and heldout ones. For every setting, we provide the accuracy scores as well as the learning curves that show how much data are necessary to achieve good performance and generalizability. RESULTS The system achieved a cross-institutional accuracy of 93.87% when trained on reports from only one hospital (CNN1). Performance improved to 95.7% and 96%, respectively, when the system was trained on reports from two (CNN2) and four (CNN4) hospitals. The introduction of diversity during training did not lead to improvements on the known institutions, but it boosted performance on the heldout institutions. When tested on reports from heldout hospitals, CNN4 outperformed CNN1 and CNN2 by 2.13% and 0.3%, respectively. CONCLUSION Real-world scenarios require that neural NLP approaches scale to data from previously unseen institutions. We show that a common neural NLP algorithm for information extraction can achieve this goal, especially when diverse data are used during training.
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Affiliation(s)
- Enrico Santus
- Massachusetts Institute of Technology, Cambridge, MA
| | - Clara Li
- Massachusetts Institute of Technology, Cambridge, MA
| | - Adam Yala
- Massachusetts Institute of Technology, Cambridge, MA
| | - Donald Peck
- Henry Ford Health System, Detroit, MI.,Michigan Technological University, Houghton, MI
| | - Rufina Soomro
- Liaquat National Hospital & Medical College, Karachi, Pakistan
| | - Naveen Faridi
- Liaquat National Hospital & Medical College, Karachi, Pakistan
| | - Isra Mamshad
- Liaquat National Hospital & Medical College, Karachi, Pakistan
| | - Rong Tang
- Rochester General Hospital, Rochester, NY
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Hughes K, Adusumilli RK, Patel M. A CASE REPORT: OPERATIVE FIXATION OF FLAIL CHEST IN THE VENTILATOR-DEPENDENT PATIENT. Chest 2020. [DOI: 10.1016/j.chest.2020.05.152] [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: 11/29/2022] Open
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Chen J, Bae E, Zhang L, Hughes K, Parmigiani G, Braun D, Rebbeck TR. Penetrance of Breast and Ovarian Cancer in Women Who Carry a BRCA1/2 Mutation and Do Not Use Risk-Reducing Salpingo-Oophorectomy: An Updated Meta-Analysis. JNCI Cancer Spectr 2020; 4:pkaa029. [PMID: 32676552 PMCID: PMC7353955 DOI: 10.1093/jncics/pkaa029] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2019] [Revised: 02/05/2020] [Accepted: 04/07/2020] [Indexed: 01/13/2023] Open
Abstract
Background Use of risk-reducing Salpingo-oophorectomy (RRSO) substantially reduces the risk of ovarian and breast cancer for women who carry a BRCA1/2 mutation. It is important to adjust for RRSO use in the estimation of BRCA1/2 penetrance of breast and ovarian cancer. Methods We searched PubMed for penetrance estimates of breast and ovarian cancer from studies that genotyped individual patients and explicitly adjusted for RRSO use by censoring follow-up at the age of RRSO. We meta-analyzed penetrance estimates from 7 identified studies. We implemented the resulting penetrance estimates in a Mendelian risk prediction model as iplemented in the software package BRCAPRO, which we applied to estimate carrier probabilities in 2 BRCA cohorts. Results Penetrance estimates by age 70 years for breast cancer were 64.6% (95% confidence interval [CI] = 59.5% to 69.4%) for BRCA1 mutation carriers and 61.0% (95% CI = 48.1% to 72.5%) for BRCA2 mutation carriers, and for ovarian cancer they were 48.3% (95% CI = 38.8% to 57.9%) and 20.0% (95% CI = 13.3% to 29.0%), respectively. When integrated into BRCAPRO, our estimates led to good calibration and different estimates of carrier probabilities for some individuals when evaluating the models in 2 cohorts. Conclusions The report updates penetrance estimates for BRCA1/2-associated cancer. We report higher estimates than previously reported, which did not adjust for RRSO. Differential use of RRSO may partially explain heterogeneity in the currently available penetrance estimates. For some individuals, using our estimates in BRCAPRO may result in changes in estimated carrier probabilities, which warrants validation in future studies.
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Affiliation(s)
- Jinbo Chen
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Eunchan Bae
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Department of Data Sciences, Dana Farber Cancer Institute, Boston, MA, USA
| | - Lingjiao Zhang
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | | | - Giovanni Parmigiani
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Department of Data Sciences, Dana Farber Cancer Institute, Boston, MA, USA
| | - Danielle Braun
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Department of Data Sciences, Dana Farber Cancer Institute, Boston, MA, USA
| | - Timothy R Rebbeck
- Dana FarberCancer Institute and Harvard T.H. Chan School of Public Health, Boston, MA, USA
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Kokkinos P, Morgan L, Hughes K, Pollard D, Gasson J, Bowlt-Blacklock K. Scrubs contamination, domestic laundry effect and workwear habits of clinical staff at a referral hospital. J Small Anim Pract 2020; 61:272-277. [PMID: 32073144 DOI: 10.1111/jsap.13114] [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] [Received: 07/24/2019] [Revised: 11/11/2019] [Accepted: 12/04/2019] [Indexed: 11/30/2022]
Abstract
OBJECTIVE To determine contamination rates of scrub suits worn by veterinary surgeons and nurses following a single shift. MATERIALS AND METHODS Cross-sectional preliminary study at a UK small animal referral centre. Sterilised scrub suits were distributed to veterinary surgeons (n = 9) and nurses (n = 9) at the beginning of their clinical shift and worn for at least 8 hours. They were then analysed for bacterial contamination before and after home laundry at 30°C. A questionnaire was distributed to hospital clinical staff regarding workwear habits. RESULTS Median bacterial counts were 47 (interquartile range: 14 to 162) and 7 (interquartile range: 0 to 27) colony forming units per cm2 before and after laundering scrub suits. Bacteria identified included Staphylococcus sp., Enterococcus sp., Escherichia coli , Bacillus sp., Pseudomonas aeruginosa , Micrococcus sp., β-haemolytic Streptococci and a Group G Streptococcus. From 101 staff surveyed, 64.0% reported wearing fresh, clean scrub tops and 58.4% fresh, clean trousers each day, while 64.4% left the workplace wearing the same clothing in which they undertook clinical work. CLINICAL SIGNIFICANCE Workwear contamination risks spread of pathogens into the community and personnel compliance with workplace guidelines warrants further attention. Home laundry at 30°C significantly decreases, but does not eliminate, the bacterial burden after a single shift.
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Affiliation(s)
- P Kokkinos
- Center for Small Animal Studies, Animal Health Trust, Lanwades Park, Kentford, Newmarket, Suffolk, CB8 7UU, UK
| | - L Morgan
- Center for Small Animal Studies, Animal Health Trust, Lanwades Park, Kentford, Newmarket, Suffolk, CB8 7UU, UK
| | - K Hughes
- Diagnostic Laboratory Services, Animal Health Trust, Lanwades Park, Kentford, Newmarket, Suffolk, CB8 7UU, UK
| | - D Pollard
- Epidemiology and Disease Surveillance, Centre for Preventive Medicine, Animal Health Trust, Lanwades Park, Kentford, Newmarket, Suffolk, CB8 7UU, UK
| | - J Gasson
- Center for Small Animal Studies, Animal Health Trust, Lanwades Park, Kentford, Newmarket, Suffolk, CB8 7UU, UK
| | - K Bowlt-Blacklock
- Center for Small Animal Studies, Animal Health Trust, Lanwades Park, Kentford, Newmarket, Suffolk, CB8 7UU, UK
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Beitsch P, Whitworth P, Hughes K, Grady I, Barbosa K, Patel R, Kinney M, Baron P, Rosen B, Compagnoni G, Smith LA, Simmons R, Coomer C, Holmes D, Brown E, Gold L, Curcio L, Clark P, Ruiz T, MacDonald H, Khan S, Riley L, Lyons S, Yang S, Hardwick MK, Esplin ED, Nussbaum RL. Abstract P6-08-28: Comprehensive germline multigene panel testing changes clinical care for patients with breast cancer. Cancer Res 2020. [DOI: 10.1158/1538-7445.sabcs19-p6-08-28] [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: HBOC testing guidelines were established to identify patients with clinically actionable variants and limit economic burden. We report the impact of germline results on health outcome based on clinical decision making and treatment interventions, regardless of guidelines, in a multi-center registry.
Methods: 20 community-based and academic sites participated in an IRB approved registry. Patients with breast cancer were tested with an 80-gene panel and clinical information was collected.
Results: Data on 912 patients has been analyzed to date. 68% were recently diagnosed and the remaining were diagnosed in the past. 50.5% met NCCN criteria; 49.5% did not. Pathogenic/likely pathogenic (P/LP) germline mutations were found in 8.65% of patients. Of all patients with P/LP findings, 85% had variants in cancer-risk genes with established management recommendations and 80% had germline variants conferring eligibility for clinical trials and precision medicine-based cancer treatments, such as PARP inhibitors. When results were evaluated based on an 11 gene panel of genes most commonly associated with breast cancer, 4.9% (or X) were found to have variants and X percent of these had variants conferring eligibility for clinical trials and precision medicine. X Patients with variants outside of the 11 gene panel had eligibility for clinical trials and precision medicine.
There was no significant association between BRCAPRO scores and patients having a P/LP finding, whether in BRCA1/2 alone (p=0.42) or for any cancer gene (p=0.57). For 62% of patients with P/LP germline mutations, clinicians reported results impacted patients’ health outcome; and for 69%, results impacted the health outcome of patients’ relatives.
Physician reported impact on patient outcome associated significantly with the presence of P/LP germline findings (p<0.00001). There was no significant difference in the clinician reported clinical utility of variants of uncertain significance (VUS) compared to negative results (p=0.467).
Conclusions: Comprehensive panel testing of breast cancer patients impacts physician assessed patient outcomes and informs changes in surgical treatment strategy, medical therapies and proactive screening. The data suggest that BRCAPRO calculators are poor predictors of germline presence of P/LP findings. Physicians in this study demonstrate the ability to discern the clinically actionable value of P/LP mutations from non-actionable VUS. Multigene panels impact breast cancer patient care by identifying precision medicine treatment interventions and guiding long-term medical management and preventive surveillance for patients and family members. More patients are provided opportunities for precision medicine when a larger panel is used.
Table 1. Comprehensive panel clinical management and treatment implications. Germline variants with implications for patient management and treatment. *P/LP variants in these genes confer potential clinical trial eligibility, e.g. NCT02401347.Table 1PatientsVariantsWith breast cancer management guidelines45 (56%)46 (55%)(ATM*, BRCA1*, BRCA2*, CHEK2*, NBN*, NF1, PALB2*, TP53*)With cancer management implications31 (38%)33 (39%)(BARD1*, FH, MITF, MSH6*, MUTYH*, PTCH1, RAD50*, RAD51C*, RAD51D*, RB1, RET, VHL)Evidence of actionability accruing5 (6%)5 (6%)(BLM, DIS3L2, RECQL4)Total8184
Citation Format: Peter Beitsch, Pat Whitworth, Kevin Hughes, Ian Grady, Karen Barbosa, Rakesh Patel, Michael Kinney, Paul Baron, Barry Rosen, Gia Compagnoni, Linda ann Smith, Rache Simmons, Cynara Coomer, Dennis Holmes, Eric Brown, Linsey Gold, Lisa Curcio, Patricia Clark, Tony Ruiz, Heather MacDonald, Sadia Khan, Lee Riley, Sam Lyons, Shan Yang, Mary K Hardwick, Edward D Esplin, Robert L Nussbaum. Comprehensive germline multigene panel testing changes clinical care for patients with breast cancer [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P6-08-28.
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Affiliation(s)
| | | | | | - Ian Grady
- 4North Valley Breast Clinic, Redding, CA
| | | | | | | | | | | | | | | | | | - Cynara Coomer
- 12Staten Island University Hospital, Staten Island, NY
| | | | | | | | | | | | - Tony Ruiz
- 17Chesapeake Regional Medical Center, Chesapeake, VA
| | | | | | - Lee Riley
- 19St Lukes University Health Hospital, Easton, PA
| | - Sam Lyons
- 20Lyons Care Associates, Kahului, HI
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DiCorpo D, Tiwari A, Tang R, Griffin M, Aftreth O, Bautista P, Hughes K, Gershenfeld N, Michaelson J. The role of Micro-CT in imaging breast cancer specimens. Breast Cancer Res Treat 2020; 180:343-357. [PMID: 32020431 DOI: 10.1007/s10549-020-05547-z] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2019] [Accepted: 01/22/2020] [Indexed: 12/25/2022]
Abstract
PURPOSE The goal of breast cancer surgery is to remove all of the cancer with a minimum of normal tissue, but absence of full 3-dimensional information on the specimen makes this difficult to achieve. METHOD Micro-CT is a high resolution, X-ray, 3D imaging method, widely used in industry but rarely in medicine. RESULTS We imaged and analyzed 173 partial mastectomies (129 ductal carcinomas, 14 lobular carcinomas, 28 DCIS). Imaging was simple and rapid. The size and shape of the cancers seen on Micro-CT closely matched the size and shape of the cancers seen at specimen dissection. Micro-CT images of multicentric/multifocal cancers revealed multiple non-contiguous masses. Micro-CT revealed cancer touching the specimen edge for 93% of the 114 cases judged margin positive by the pathologist, and 28 of the cases not seen as margin positive on pathological analysis; cancer occupied 1.55% of surface area when both the pathologist and Micro-CT suggested cancer at the edge, but only 0.45% of surface area for the "Micro-CT-Only-Positive Cases". Thus, Micro-CT detects cancers that touch a very small region of the specimen surface, which is likely to be missed on sectioning. CONCLUSIONS Micro-CT provides full 3D images of breast cancer specimens, allowing one to identify, in minutes rather than hours, while the patient is in OR, margin-positive cancers together with information on where the cancer touches the edge, in a fashion more accurate than possible from the histology slides alone.
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Affiliation(s)
- Daniel DiCorpo
- Laboratory for Quantitative Medicine, Massachusetts General Hospital, Boston, MA, 02115, USA
| | - Ankur Tiwari
- Laboratory for Quantitative Medicine, Massachusetts General Hospital, Boston, MA, 02115, USA.,Division of Surgical Oncology, Massachusetts General Hospital, Boston, MA, 02115, USA
| | - Rong Tang
- Division of Surgical Oncology, Massachusetts General Hospital, Boston, MA, 02115, USA
| | - Molly Griffin
- Laboratory for Quantitative Medicine, Massachusetts General Hospital, Boston, MA, 02115, USA
| | - Owen Aftreth
- Department of Urology, Los Angeles Medical Center, Kaiser Permanente, Los Angeles, CA, USA
| | - Pinky Bautista
- Laboratory for Quantitative Medicine, Massachusetts General Hospital, Boston, MA, 02115, USA
| | - Kevin Hughes
- Division of Surgical Oncology, Massachusetts General Hospital, Boston, MA, 02115, USA
| | - Neil Gershenfeld
- MIT Center for Bits and Atoms, Room E15-401, 20 Ames Street, Cambridge, MA, 02139, USA
| | - James Michaelson
- Laboratory for Quantitative Medicine, Massachusetts General Hospital, Boston, MA, 02115, USA. .,Division of Surgical Oncology, Massachusetts General Hospital, Boston, MA, 02115, USA. .,Department of Pathology, Massachusetts General Hospital, Boston, MA, 02115, USA. .,Department of Pathology, Harvard Medical School, Boston, MA, 02115, USA. .,, 12 Sheeps Crossing Lane, Woods Hole, USA.
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Pupo-Roncallo O, Campillo J, Ingham D, Hughes K, Pourkashanian M. Renewable energy production and demand dataset for the energy system of Colombia. Data Brief 2020; 28:105084. [PMID: 31956676 PMCID: PMC6956762 DOI: 10.1016/j.dib.2019.105084] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2019] [Revised: 12/11/2019] [Accepted: 12/23/2019] [Indexed: 12/02/2022] Open
Abstract
During the last decades, an increasing number of studies have focused their attention on the development of energy system models in order to facilitate sustainable energy planning strategies and understand the technical challenges associated with the integration of renewable energy sources. However, these models usually require detailed and large amount of data as inputs. The data presented in this article provides key inputs and modelling assumptions adopted in the research paper titled "Large scale integration of renewable energy sources (RES) in the future Colombian energy system" [1]. These datasets can be used by researchers and policymakers in order to analyse different pathways oriented to the development of low carbon strategies for Colombia and countries with similar energy systems.
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Affiliation(s)
- Oscar Pupo-Roncallo
- Energy 2050, The University of Sheffield, Ella Armitage Building, Sheffield, S37RD, UK
| | - Javier Campillo
- Electrical Engineering Department, Universidad Tecnológica de Bolívar, Parque Industrial y Tecnológico Carlos Vélez Pombo, Cartagena, 130 012, Colombia
| | - Derek Ingham
- Energy 2050, The University of Sheffield, Ella Armitage Building, Sheffield, S37RD, UK
| | - Kevin Hughes
- Energy 2050, The University of Sheffield, Ella Armitage Building, Sheffield, S37RD, UK
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Greiling TM, Dehner C, Chen X, Hughes K, Iñiguez AJ, Boccitto M, Ruiz DZ, Renfroe SC, Vieira SM, Ruff WE, Sim S, Kriegel C, Glanternik J, Chen X, Girardi M, Degnan P, Costenbader KH, Goodman AL, Wolin SL, Kriegel MA. Commensal orthologs of the human autoantigen Ro60 as triggers of autoimmunity in lupus. Sci Transl Med 2019; 10:10/434/eaan2306. [PMID: 29593104 DOI: 10.1126/scitranslmed.aan2306] [Citation(s) in RCA: 180] [Impact Index Per Article: 36.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2017] [Revised: 11/17/2017] [Accepted: 01/19/2018] [Indexed: 12/14/2022]
Abstract
The earliest autoantibodies in lupus are directed against the RNA binding autoantigen Ro60, but the triggers against this evolutionarily conserved antigen remain elusive. We identified Ro60 orthologs in a subset of human skin, oral, and gut commensal bacterial species and confirmed the presence of these orthologs in patients with lupus and healthy controls. Thus, we hypothesized that commensal Ro60 orthologs may trigger autoimmunity via cross-reactivity in genetically susceptible individuals. Sera from human anti-Ro60-positive lupus patients immunoprecipitated commensal Ro60 ribonucleoproteins. Human Ro60 autoantigen-specific CD4 memory T cell clones from lupus patients were activated by skin and mucosal Ro60-containing bacteria, supporting T cell cross-reactivity in humans. Further, germ-free mice spontaneously initiated anti-human Ro60 T and B cell responses and developed glomerular immune complex deposits after monocolonization with a Ro60 ortholog-containing gut commensal, linking anti-Ro60 commensal responses in vivo with the production of human Ro60 autoantibodies and signs of autoimmunity. Together, these data support that colonization with autoantigen ortholog-producing commensal species may initiate and sustain chronic autoimmunity in genetically predisposed individuals. The concept of commensal ortholog cross-reactivity may apply more broadly to autoimmune diseases and lead to novel treatment approaches aimed at defined commensal species.
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Affiliation(s)
- Teri M Greiling
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06510, USA.,Department of Dermatology, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Carina Dehner
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Xinguo Chen
- Department of Medicine, Integrated Cardio Metabolic Centre (ICMC), Heart and Vascular Theme, Karolinska Institute, Stockholm SE-171 77, Sweden.,Bioscience, Cardiovascular, Renal & Metabolism, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
| | - Kevin Hughes
- Department of Medicine, Integrated Cardio Metabolic Centre (ICMC), Heart and Vascular Theme, Karolinska Institute, Stockholm SE-171 77, Sweden.,Bioscience, Cardiovascular, Renal & Metabolism, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
| | - Alonso J Iñiguez
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Marco Boccitto
- Department of Medicine, Integrated Cardio Metabolic Centre (ICMC), Heart and Vascular Theme, Karolinska Institute, Stockholm SE-171 77, Sweden.,Bioscience, Cardiovascular, Renal & Metabolism, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
| | - Daniel Zegarra Ruiz
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Stephen C Renfroe
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Silvio M Vieira
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06510, USA
| | - William E Ruff
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Soyeong Sim
- Department of Medicine, Integrated Cardio Metabolic Centre (ICMC), Heart and Vascular Theme, Karolinska Institute, Stockholm SE-171 77, Sweden.,Bioscience, Cardiovascular, Renal & Metabolism, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
| | - Christina Kriegel
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Julia Glanternik
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Xindi Chen
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Michael Girardi
- Department of Dermatology, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Patrick Degnan
- Department of Microbial Pathogenesis and Yale Microbial Sciences Institute, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Karen H Costenbader
- Division of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Andrew L Goodman
- Department of Microbial Pathogenesis and Yale Microbial Sciences Institute, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Sandra L Wolin
- Department of Cell Biology, Yale University School of Medicine, New Haven, CT 06510, USA. .,Bioscience, Cardiovascular, Renal & Metabolism, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
| | - Martin A Kriegel
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06510, USA. .,Section of Rheumatology, Department of Medicine, Yale University School of Medicine, New Haven, CT 06510, USA
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Hughes K, Gelfer Y, Cokljat M, Wientroub S, Yavor A, Hemo Y, Dunkley M, Eastwood DM. Does idiopathic congenital talipes equinovarus have an impact on attainment of developmental milestones? A multicentre international study. J Child Orthop 2019; 13:353-360. [PMID: 31489040 PMCID: PMC6701447 DOI: 10.1302/1863-2548.13.190060] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
PURPOSE The Ponseti method is a well-established approach to treating clubfoot. Potentially, both the underlying pathology and adherence to post-correction bracing can affect lower limb function and age of independent standing and walking. This cohort study investigates the age at which infants with idiopathic clubfoot treated using the Ponseti method achieved three selected developmental milestones and whether or not this correlated with treatment compliance. METHODS A prospectively collected database from four centres was visited. Inclusion criteria were patients with idiopathic clubfoot with no comorbidities or prior treatment. Age at attainment of independent standing, walking, nocturnal continence was compared across three groups: I) congenital talipes equinovarus (CTEV) children compliant with treatment; II) CTEV children non-compliant with treatment; and III) typically-developed siblings. Minimum follow-up was five years. RESULTS In all, 130 patients (198 feet) fitted the inclusion criteria: 43:87 (F:M). Standing was achieved by a mean 12.0 months in group I (sd 2.50); 12.0 months (sd 2.0) in II and ten months (sd 3.0) in III. Walking was achieved by a mean 15 months (sd 4.0) in group I, 14 months (sd 1.75) in II and 12 months (sd 3) in III, respectively. Both the compliant and non-compliant CTEV children were significantly slower at achieving standing and walking compared to sibling controls (p < 0.0001). There was no significant difference between age of nocturnal continence between the three groups. CONCLUSION Infants with idiopathic clubfoot treated according to the Ponseti method achieve independent standing and walking approximately two months later than their typically-developed siblings. The delay is not related to the use of the foot abduction brace. LEVEL OF EVIDENCE III.
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Affiliation(s)
- K. Hughes
- St. George’s Hospital, London, UK,Correspondence should be sent to K. Hughes, St. George’s Hospital Paediatric Orthopaedics Department, London, SW17 7QT, UK. E-mail:
| | - Y. Gelfer
- St. George’s Hospital, London, UK,St. George’s University of London, London, UK
| | | | | | - A. Yavor
- Dana Children’s Hospital, Tel-Aviv, Israel
| | - Y. Hemo
- Dana Children’s Hospital, Tel-Aviv, Israel
| | - M. Dunkley
- Great Ormond Street Hospital and University College London, UK,Royal Surrey County Hospital, Guildford, UK
| | - D. M. Eastwood
- Great Ormond Street Hospital and University College London, UK
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Affiliation(s)
- Peter Beitsch
- Peter Beitsch, MD, Dallas Surgical, Dallas, TX; Kevin Hughes, MD, Massachusetts General Hospital, Boston, MA; and Pat Whitworth, MD, Nashville Breast Center, Nashville, TN
| | - Kevin Hughes
- Peter Beitsch, MD, Dallas Surgical, Dallas, TX; Kevin Hughes, MD, Massachusetts General Hospital, Boston, MA; and Pat Whitworth, MD, Nashville Breast Center, Nashville, TN
| | - Pat Whitworth
- Peter Beitsch, MD, Dallas Surgical, Dallas, TX; Kevin Hughes, MD, Massachusetts General Hospital, Boston, MA; and Pat Whitworth, MD, Nashville Breast Center, Nashville, TN
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Abstract
Aims The Ponseti method is the benchmark treatment for the correction of clubfoot. The primary rate of correction is very high, but outcome further down the treatment pathway is less predictable. Several methods of assessing severity at presentation have been reported. Classification later in the course of treatment is more challenging. This systematic review considers the outcome of the Ponseti method in terms of relapse and determines how clubfoot is assessed at presentation, correction, and relapse. Patients and Methods A prospectively registered systematic review was carried out according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Studies that reported idiopathic clubfoot treated by the Ponseti method between 1 January 2012 and 31 May 2017 were included. The data extracted included demographics, Ponseti methodology, assessment methods, and rates of relapse and surgery. Results A total of 84 studies were included (7335 patients, 10 535 clubfeet). The relapse rate varied between 1.9% and 45%. The rates of relapse and major surgery (1.4% to 53.3%) and minor surgery (0.6% to 48.8%) both increased with follow-up time. There was high variability in the assessment methods used across timepoints; only 57% of the studies defined relapse. Pirani scoring was the method most often used. Conclusion Recurrence and further surgical intervention in idiopathic clubfoot increases with the duration of follow-up. The corrected and the relapsed foot are poorly defined, which contributes to variability in outcome. The results suggest that a consensus for a definition of relapse is needed. Cite this article: Bone Joint J 2019;101-B:639–645.
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Affiliation(s)
- Y. Gelfer
- Trauma and Orthopaedic Department, St George’s Hospital, St George’s University of London, London, UK
| | - S. Wientroub
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - K. Hughes
- St. Richard’s Hospital, Chichester, UK
| | | | - D. M. Eastwood
- Great Ormond Street Hospital, London, UK
- Paediatric Orthopaedics, University College London, London, UK
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Halstead F, Ravi A, Thomson N, Nuur M, Hughes K, Brailey M, Oppenheim B. Whole genome sequencing of toxigenic Clostridium difficile in asymptomatic carriers: insights into possible role in transmission. J Hosp Infect 2019; 102:125-134. [DOI: 10.1016/j.jhin.2018.10.012] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2018] [Accepted: 10/15/2018] [Indexed: 01/05/2023]
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Beitsch PD, Whitworth PW, Hughes K, Patel R, Rosen B, Compagnoni G, Baron P, Simmons R, Smith LA, Grady I, Kinney M, Coomer C, Barbosa K, Holmes DR, Brown E, Gold L, Clark P, Riley L, Lyons S, Ruiz A, Kahn S, MacDonald H, Curcio L, Hardwick MK, Yang S, Esplin ED, Nussbaum RL. Underdiagnosis of Hereditary Breast Cancer: Are Genetic Testing Guidelines a Tool or an Obstacle? J Clin Oncol 2019; 37:453-460. [PMID: 30526229 PMCID: PMC6380523 DOI: 10.1200/jco.18.01631] [Citation(s) in RCA: 225] [Impact Index Per Article: 45.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/02/2018] [Indexed: 12/20/2022] Open
Abstract
PURPOSE An estimated 10% of breast and ovarian cancers result from hereditary causes. Current testing guidelines for germ line susceptibility genes in patients with breast carcinoma were developed to identify carriers of BRCA1/ 2 variants and have evolved in the panel-testing era. We evaluated the capability of the National Comprehensive Cancer Network (NCCN) guidelines to identify patients with breast cancer with pathogenic variants in expanded panel testing. METHODS An institutional review board-approved multicenter prospective registry was initiated with 20 community and academic sites experienced in cancer genetic testing and counseling. Eligibility criteria included patients with a previously or newly diagnosed breast cancer who had not undergone either single- or multigene testing. Consecutive patients 18 to 90 years of age were consented and underwent an 80-gene panel test. Health Insurance Portability and Accountability Act-compliant electronic case report forms collected information on patient demographics, diagnoses, phenotypes, and test results. RESULTS More than 1,000 patients were enrolled, and data records for 959 patients were analyzed; 49.95% met NCCN criteria, and 50.05% did not. Overall, 8.65% of patients had a pathogenic/likely pathogenic (P/LP) variant. Of patients who met NCCN guidelines with test results, 9.39% had a P/LP variant. Of patients who did not meet guidelines, 7.9% had a P/LP variant. The difference in positive results between these groups was not statistically significant (Fisher's exact test P = .4241). CONCLUSION Our results indicate that nearly half of patients with breast cancer with a P/LP variant with clinically actionable and/or management guidelines in development are missed by current testing guidelines. We recommend that all patients with a diagnosis of breast cancer undergo expanded panel testing.
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Affiliation(s)
| | | | | | - Rakesh Patel
- Good Samaritan Hospital–TME/Breast Care Network, Los Gatos, CA
| | - Barry Rosen
- Advanced Surgical Care of Northern Illinois, Barrington, IL
| | - Gia Compagnoni
- Advanced Surgical Care of Northern Illinois, Barrington, IL
| | - Paul Baron
- Roper St Francis Healthcare, Charleston, SC
| | | | | | - Ian Grady
- North Valley Breast Clinic, Redding, CA
| | | | - Cynara Coomer
- Staten Island University Hospital, Staten Island, NY
| | | | | | | | | | | | - Lee Riley
- St Luke’s University Health Network, Easton, PA
| | | | - Antonio Ruiz
- Chesapeake Regional Medical Center, Chesapeake, VA
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Fontalis A, Hughes K, Nguyen MP, Williamson M, Yeo A, Lui D, Gelfer Y. The challenge of differentiating vaso-occlusive crises from osteomyelitis in children with sickle cell disease and bone pain: A 15-year retrospective review. J Child Orthop 2019; 13:33-39. [PMID: 30838073 PMCID: PMC6376437 DOI: 10.1302/1863-2548.12.180094] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
PURPOSE The paediatric sickle cell disease (SCD) osteomyelitis (OM) incidence is 0.3% to 12%. Differentiating vaso-occlusive crises (VOC) from OM is a diagnostic challenge, with limited evidence guiding management. We present a 15-year review of a paediatric sickle cell cohort. We aim to identify OM incidence and provide a management protocol for these children presenting with bone pain. METHODS A prospective database of children with haemoglobinopathies (2002 to 2017) was analyzed for temperature, C-reactive protein (CRP) and white cell count (WCC) on admission as well as imaging, treatment and cultures. OM diagnosis was supported by imaging and blood cultures. VOC was defined as bone pain that improved without antibiotics. RESULTS Over 15 years, 96 children with SCD presented 358 times to hospital. Empirical antibiotics were given in 308 presentations. There were five cases of OM (1.4%); two acute and three chronic. In all, 50 presentations of VOC were identified. No significant differences in age were noted between the OM and VOC group. Temperature and CRP were significantly elevated in the OM group with no significant difference in WCC. Cultures were only positive in the chronic OM admissions. There were no cases of septic arthritis. No surgical intervention was required. CONCLUSION In children with SCD presenting with persistent bone pain, fever, elevated CRP and WCC, OM should be suspected and prompt antibiotic treatment started. Our treatment pathway was successful avoiding OM in 98.6% and septic arthritis in 100%. Further research on novel biological markers distinguishing OM from VOC should be investigated. LEVEL OF EVIDENCE III.
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Affiliation(s)
- A. Fontalis
- Trauma and Orthopaedic Department, St George’s Hospital, London, UK
| | - K. Hughes
- Trauma and Orthopaedic Department, St George’s Hospital, London, UK
| | - M. P. Nguyen
- Trauma and Orthopaedic Department, St George’s Hospital, London, UK
| | - M. Williamson
- Trauma and Orthopaedic Department, St George’s Hospital, London, UK
| | - A. Yeo
- Trauma and Orthopaedic Department, St George’s Hospital, London, UK
| | - D. Lui
- Trauma and Orthopaedic Department, St George’s Hospital, London, UK
| | - Y. Gelfer
- Trauma and Orthopaedic Department, St George’s Hospital, London, UK,St George’s University of London, London, UK, Correspondence should be sent to Y. Gelfer, MD PhD FRCS, St Georges Hospitals NHS Foundation Trust, Trauma and Orthopaedic Department, St James Wing Level 5, Blackshaw Rd, London SW170QT, UK. E-mail:
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