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Thompson L, Carr F, Rogers D, Lewis N, Charalampopoulos A, Fent G, Garg P, Swift AJ, Al-Mohammad A. Characterisation of the octogenarians presenting to the diagnostic heart failure clinic: SHEAF registry. Open Heart 2024; 11:e002584. [PMID: 38663890 PMCID: PMC11043696 DOI: 10.1136/openhrt-2023-002584] [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] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Accepted: 04/08/2024] [Indexed: 04/28/2024] Open
Abstract
INTRODUCTION Heart failure (HF) incidence is increasing in older adults with high hospitalisation and mortality rates. Treatment is complicated by side effects and comorbidities. We investigated the clinical characteristics of octogenarians presenting to the HF clinic. METHODS Data were collected on octogenarians (80-89 years) referred to the HF clinic in two periods. The data included demographics, HF phenotype, comorbidities, symptoms and treatment. We investigate the temporal changes in clinical characteristics using χ2 test. We aimed to determine the clinical characteristics which were associated with optimisation of HF pharmacological intervention in the clinic, conducting multivariate regression analysis. Statistical significance is determined at p<0.05. RESULTS Data were collected in April 2012 to January 2014 and in June 2021 to December 2022. In this cross-sectional study of temporal data, 571 octogenarians were referred to the clinic in the latter period, in whom the prevalence of HF was 68.48% (391 patients). HF with preserved ejection fraction (HFpEF) was the most common phenotype and increased significantly compared with the first period (46.3% and 29.2%, p<0.001). Frailty, chronic kidney disease and ischaemic heart disease increased significantly versus the first period (p<0.001). During the second period, and following the consultation, of the patients with HF with reduced ejection fraction (HFrEF), 86.4% and 82.7% were on a beta blocker and on an ACE inhibitor/angiotensin receptor blocker/angiotensin receptor-neprilysin inhibitor, respectively. Clinical characteristics associated with further optimisations of HF pharmacological therapy in the HF clinic were: New York Heart Association (NYHA) functional class III and the presence of HFrEF phenotype CONCLUSIONS: With a prevalence of HF at 68% among the octogenarians referred to the HF clinic, HFpEF incidence is rising. The decision to optimise HF pharmacological treatment in octogenarians is driven by NYHA functional class III and the presence of HFrEF phenotype.
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Affiliation(s)
- Luke Thompson
- Care of the Elderly, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Fiona Carr
- Department of Cardiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
- Department of Geriatrics, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Dominic Rogers
- Department of Cardiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Nigel Lewis
- Department of Cardiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | | | - Graham Fent
- Department of Cardiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Pankaj Garg
- University of East Anglia, Norwich, Norfolk, UK
| | - Andrew J Swift
- Division of Clinical Medicine, The University of Sheffield Faculty of Medicine Dentistry and Health, Sheffield, UK
| | - Abdallah Al-Mohammad
- Department of Cardiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
- Division of Clinical Medicine, The University of Sheffield Faculty of Medicine Dentistry and Health, Sheffield, UK
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Zafar H, Neelam-Naganathan D, Middleton JT, Binmahfooz SK, Battersby C, Rogers D, Swift AJ, Rothman AMK. Anatomical characterization of pulmonary artery and implications to pulmonary artery pressure monitor implantation. Sci Rep 2023; 13:20528. [PMID: 37993563 PMCID: PMC10665414 DOI: 10.1038/s41598-023-47612-9] [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] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 11/16/2023] [Indexed: 11/24/2023] Open
Abstract
In patients with heart failure, guideline directed medical therapy improves outcomes and requires close patient monitoring. Pulmonary artery pressure monitors permit remote assessment of cardiopulmonary haemodynamics and facilitate early intervention that has been shown to decrease heart failure hospitalization. Pressure sensors implanted in the pulmonary vasculature are stabilized through passive or active interaction with the anatomy and communicate with an external reader to relay invasively measured pressure by radiofrequency. A body mass index > 35 kg/m2 and chest circumference > 165 cm prevent use due to poor communication. Pulmonary vasculature anatomy is variable between patients and the pulmonary artery size, angulation of vessels and depth of sensor location from the chest wall in heart failure patients who may be candidates for pressure sensors remains largely unexamined. The present study analyses the size, angulation, and depth of the pulmonary artery at the position of implantation of two pulmonary artery pressure sensors: the CardioMEMS sensor typically implanted in the left pulmonary artery and the Cordella sensor implanted in the right pulmonary artery. Thirty-four computed tomography pulmonary angiograms from patients with heart failure were analysed using the MIMICS software. Distance from the bifurcation of the pulmonary artery to the implant site was shorter for the right pulmonary artery (4.55 ± 0.64 cm vs. 7.4 ± 1.3 cm) and vessel diameter at the implant site was larger (17.15 ± 2.87 mm vs. 11.83 ± 2.30 mm). Link distance (length of the communication path between sensor and reader) was shorter for the left pulmonary artery (9.40 ± 1.43 mm vs. 12.54 ± 1.37 mm). Therefore, the detailed analysis of pulmonary arterial anatomy using computed tomography pulmonary angiograms may alter the choice of implant location to reduce the risk of sensor migration and improve readability by minimizing sensor-to-reader link distance.
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Affiliation(s)
- Hamza Zafar
- University of Sheffield, Sheffield, UK
- Sheffield University Teaching Hospitals NHS Trust, Sheffield, UK
- Division of Clinical Medicine, School of Medicine and Population Health, Beech Hill Road, Sheffield, S10 2RX, UK
| | - Dharshan Neelam-Naganathan
- University of Sheffield, Sheffield, UK
- Sheffield University Teaching Hospitals NHS Trust, Sheffield, UK
- Division of Clinical Medicine, School of Medicine and Population Health, Beech Hill Road, Sheffield, S10 2RX, UK
| | - Jennifer T Middleton
- University of Sheffield, Sheffield, UK
- Sheffield University Teaching Hospitals NHS Trust, Sheffield, UK
- Division of Clinical Medicine, School of Medicine and Population Health, Beech Hill Road, Sheffield, S10 2RX, UK
| | - Sarah K Binmahfooz
- University of Sheffield, Sheffield, UK
- Division of Clinical Medicine, School of Medicine and Population Health, Beech Hill Road, Sheffield, S10 2RX, UK
| | - Christian Battersby
- University of Sheffield, Sheffield, UK
- Division of Clinical Medicine, School of Medicine and Population Health, Beech Hill Road, Sheffield, S10 2RX, UK
| | - Dominic Rogers
- Sheffield University Teaching Hospitals NHS Trust, Sheffield, UK
| | - Andrew J Swift
- University of Sheffield, Sheffield, UK
- Sheffield University Teaching Hospitals NHS Trust, Sheffield, UK
- Division of Clinical Medicine, School of Medicine and Population Health, Beech Hill Road, Sheffield, S10 2RX, UK
| | - Alexander M K Rothman
- University of Sheffield, Sheffield, UK.
- Sheffield University Teaching Hospitals NHS Trust, Sheffield, UK.
- Division of Clinical Medicine, School of Medicine and Population Health, Beech Hill Road, Sheffield, S10 2RX, UK.
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3
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Wolodimeroff E, Garg P, Swift AJ, Fent G, Lewis N, Rogers D, Charalampopoulos A, Al-Mohammad A. Cardiovascular medication in patients with raised NT-proBNP, but no heart failure in the SHEAF registry. Open Heart 2022; 9:e001974. [PMID: 35649572 PMCID: PMC9161074 DOI: 10.1136/openhrt-2022-001974] [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] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 05/18/2022] [Indexed: 12/03/2022] Open
Abstract
OBJECTIVES We aim to assess the association of cardiovascular medications with outcomes of patients referred to the diagnostic heart failure (HF) clinic with symptoms or signs of possible HF, raised N-terminal pro-brain-type natriuretic peptide (NT-proBNP) but no evidence of HF on transthoracic echocardiography (TTE). METHODS Data were collected prospectively into the Sheffield HEArt Failure (SHEAF) registry between April 2012 and January 2020. The inclusion criteria were symptoms or signs suggestive of HF, NT-proBNP >400 pg/mL, but no evidence of HF on TTE. Cox proportional-hazards regression model was used to investigate the association between the survival time of patients and different cardiovascular medications. The outcome was defined as all-cause mortality. RESULTS From the SHEAF registry, we identified 1766 patients with raised NT-proBNP with no evidence of HF on TTE. Survival was higher among the younger patients, and among those with hypertension or atrial fibrillation (AF). Mortality was increased with male gender, valvular heart disease and chronic kidney disease. Using univariate Cox proportional-hazards regression, the only cardiac therapeutic agent independently associated with all-cause mortality was beta-blocker (HR 0.86; 95% CI: 0.77 to 0.97; p=0.02). The use of beta-blockers was significantly higher in patients with AF (63% vs 39%, p<0.01) and hypertension (51% vs 42%, p<0.01). However, using multivariate Cox proportional-hazards regression to adjust for all variables associated with mortality, the influence of beta-blockers became non-significant (HR 0.96; 95% CI: 0.85 to 1.1, p=0.49). CONCLUSION When all variables associated with mortality are considered, none of the cardiovascular agents are associated with the improved survival of patients with suspected HF, raised NT-proBNP but no HF on echocardiography.
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Affiliation(s)
- Elena Wolodimeroff
- Department of Infection, Immunity & Cardiovascular Disease, The University of Sheffield Medical School, Sheffield, UK
| | - Pankaj Garg
- Department of Infection, Immunity & Cardiovascular Disease, The University of Sheffield Medical School, Sheffield, UK
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - Andrew J Swift
- Department of Infection, Immunity & Cardiovascular Disease, The University of Sheffield Medical School, Sheffield, UK
| | - Graham Fent
- Department of Cardiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Nigel Lewis
- Department of Cardiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Dominic Rogers
- Department of Cardiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | | | - Abdallah Al-Mohammad
- Department of Infection, Immunity & Cardiovascular Disease, The University of Sheffield Medical School, Sheffield, UK
- Department of Cardiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
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Gould J, Claridge S, Jackson T, Sieniewicz BJ, Sidhu BS, Porter B, Elliott MK, Mehta V, Niederer S, Chadwick H, Kamdar R, Adhya S, Patel N, Hamid S, Rogers D, Nicolson W, Chan CF, Whinnett Z, Murgatroyd F, Lambiase PD, Rinaldi CA. Standard care vs. TRIVEntricular pacing in Heart Failure (STRIVE HF): a prospective multicentre randomized controlled trial of triventricular pacing vs. conventional biventricular pacing in patients with heart failure and intermediate QRS left bundle branch block. Europace 2022; 24:796-806. [PMID: 35079787 PMCID: PMC9071069 DOI: 10.1093/europace/euab267] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Indexed: 11/25/2022] Open
Abstract
AIMS To determine whether triventricular (TriV) pacing is feasible and improves CRT response compared to conventional biventricular (BiV) pacing in patients with left bundle branch block (LBBB) and intermediate QRS prolongation (120-150 ms). METHODS AND RESULTS Between October 2015 and November 2019, 99 patients were recruited from 11 UK centres. Ninety-five patients were randomized 1:1 to receive TriV or BiV pacing systems. The primary endpoint was feasibility of TriV pacing. Secondary endpoints assessed symptomatic and remodelling response to CRT. Baseline characteristics were balanced between groups. In the TriV group, 43/46 (93.5%) patients underwent successful implantation vs. 47/49 (95.9%) in the BiV group. Feasibility of maintaining CRT at 6 months was similar in the TriV vs. BiV group (90.0% vs. 97.7%, P = 0.191). All-cause mortality was similar between TriV vs. BiV groups (4.3% vs. 8.2%, P = 0.678). There were no significant differences in echocardiographic LV volumes or clinical composite scores from baseline to 6-month follow-up between groups. CONCLUSION Implantation of two LV leads to deliver and maintain TriV pacing at 6 months is feasible without significant complications in the majority of patients. There was no evidence that TriV pacing improves CRT response or provides additional clinical benefit to patients with LBBB and intermediate QRS prolongation and cannot be recommended in this patient group. CLINICAL TRIAL REGISTRATION NUMBER Clinicaltrials.gov: NCT02529410.
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Affiliation(s)
- Justin Gould
- Guy's & St. Thomas' Hospitals, Westminster Bridge Road, London, SE1 7EH, UK.,King's College London, Westminster Bridge Road, London, SE1 7EH, UK
| | - Simon Claridge
- Guy's & St. Thomas' Hospitals, Westminster Bridge Road, London, SE1 7EH, UK.,King's College London, Westminster Bridge Road, London, SE1 7EH, UK
| | - Thomas Jackson
- Guy's & St. Thomas' Hospitals, Westminster Bridge Road, London, SE1 7EH, UK.,King's College London, Westminster Bridge Road, London, SE1 7EH, UK
| | - Benjamin J Sieniewicz
- Guy's & St. Thomas' Hospitals, Westminster Bridge Road, London, SE1 7EH, UK.,King's College London, Westminster Bridge Road, London, SE1 7EH, UK
| | - Baldeep S Sidhu
- Guy's & St. Thomas' Hospitals, Westminster Bridge Road, London, SE1 7EH, UK.,King's College London, Westminster Bridge Road, London, SE1 7EH, UK
| | - Bradley Porter
- Guy's & St. Thomas' Hospitals, Westminster Bridge Road, London, SE1 7EH, UK.,King's College London, Westminster Bridge Road, London, SE1 7EH, UK
| | - Mark K Elliott
- Guy's & St. Thomas' Hospitals, Westminster Bridge Road, London, SE1 7EH, UK.,King's College London, Westminster Bridge Road, London, SE1 7EH, UK
| | - Vishal Mehta
- Guy's & St. Thomas' Hospitals, Westminster Bridge Road, London, SE1 7EH, UK.,King's College London, Westminster Bridge Road, London, SE1 7EH, UK
| | - Steven Niederer
- King's College London, Westminster Bridge Road, London, SE1 7EH, UK
| | - Humra Chadwick
- Guy's & St. Thomas' Hospitals, Westminster Bridge Road, London, SE1 7EH, UK
| | - Ravi Kamdar
- Croydon University Hospital, 530, London Road, Croydon, CR7 7YE, UK
| | - Shaumik Adhya
- Maritime Hospital, Windmill Road, Gillingham, Kent, ME7 5NY, UK
| | - Nikhil Patel
- Eastbourne District General Hospital, King's Drive, Eastbourne, East Sussex, BN21 2UD, UK
| | - Shoaib Hamid
- Queen Elizabeth Hospital, Stadium Road, London, SE18 4QH, UK
| | - Dominic Rogers
- Northen General Hospital, Herries Road, Sheffield, South Yorkshire, S5 7AU, UK
| | - William Nicolson
- Glenfield Hospital, Groby Road, Leicester, Leicestershire, LE3 9QP, UK
| | - Cheuk F Chan
- East Surrey Hospital, Canada Avenue, Redhill, RH1 5RH, UK
| | | | | | - Pier D Lambiase
- Barts Heart Centre, St Bartholomew's Hospital, West Smithfield, City of London, EC1A 7BE, UK
| | - Christopher A Rinaldi
- Guy's & St. Thomas' Hospitals, Westminster Bridge Road, London, SE1 7EH, UK.,King's College London, Westminster Bridge Road, London, SE1 7EH, UK
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5
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Ballanamada Appaiah N, Probert S, Boyle K, Rogers D, Stewart J, Baker M. 143 Intestinal Failure: Epidemiology, Catheter Related Sepsis and Challenges. Br J Surg 2022. [DOI: 10.1093/bjs/znac039.083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Abstract
Background
The aforementioned service provides specialist intestinal failure care to patients in Leicestershire and surrounding counties.
Aim
To study the epidemiology of IF cases referred to the service & review outcomes particularly the indications and delivery of parenteral nutrition (PN). To review catheter-related sepsis (CRS) rates and identify areas for improvement.
Method
Service data from January 2016 to November 2017 was analysed retrospectively. Descriptive and inferential statistical analysis was carried out. Chi-square/ Fisher Exact tests were used to identify significance on categorical data and non-parametric settling was used for qualitative data analysis.
Results
365 patients were referred to the service from January 2016 to November 2017. 58% patients had grade I intestinal failure. 34% and 24% referrals were made by the colorectal and hepato-pancreato-biliary (HPB) units respectively. Gut rest (27%) and bowel obstruction (25%) were the most common indications for nutritional support. Duration of PN requirements varied greatly, but most patients (39%) patients required it for up to 7 days. Single lumen PICC line (64%) and cephalic vein (54%) were the most commonly used catheter and site of vascular access respectively. Chronicity of IF and number of vascular catheters required to provide PN were significantly associated with rates of CRS.
Conclusions
CRS was found to be statistically significantly associated with chronic IF and number of vascular access catheters required to provide PN. Cost implication and morbidity of CRS could be analysed further to identify other ways to provide safer and cost-efficient parental nutrition for patients with intestinal failure.
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Affiliation(s)
| | - S. Probert
- Basildon & Thurrock Univeristy Hospital, Basildon, United Kingdom
| | - K. Boyle
- Leicester Royal Infirmary, Leicester, United Kingdom
| | - D. Rogers
- Leicester Royal Infirmary, Leicester, United Kingdom
| | - J. Stewart
- Leicester Royal Infirmary, Leicester, United Kingdom
| | - M. Baker
- Leicester Royal Infirmary, Leicester, United Kingdom
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6
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Cowie MR, Flett A, Cowburn P, Foley P, Chandrasekaran B, Loke I, Critoph C, Gardner RS, Guha K, Betts TR, Carr-White G, Zaidi A, Lim HS, Hayward C, Patwala A, Rogers D, Pettit S, Gazzola C, Henderson J, Adamson PB. Real-world evidence in a national health service: results of the UK CardioMEMS HF System Post-Market Study. ESC Heart Fail 2021; 9:48-56. [PMID: 34882989 PMCID: PMC8787982 DOI: 10.1002/ehf2.13748] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [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: 07/15/2021] [Revised: 11/02/2021] [Accepted: 11/18/2021] [Indexed: 11/10/2022] Open
Abstract
Aims The CardioMEMS HF System Post‐Market Study (COAST) was designed to evaluate the safety, effectiveness, and feasibility of haemodynamic‐guided heart failure (HF) management using a small sensor implanted in the pulmonary artery of New York Heart Association (NYHA) Class III HF patients in the UK, Europe, and Australia. Methods and results COAST is a prospective, international, multicentre, open‐label clinical study (NCT02954341). The primary clinical endpoint compares annualized HF hospitalization rates after 1 year of haemodynamic‐guided management vs. the year prior to sensor implantation in patients with NYHA Class III symptoms and a previous HF hospitalization. The primary safety endpoints assess freedom from device/system‐related complications and pressure sensor failure after 2 years. Results from the first 100 patients implanted at 14 out of the 15 participating centres in the UK are reported here. At baseline, all patients were in NYHA Class III, 70% were male, mean age was 69 ± 12 years, and 39% had an aetiology of ischaemic cardiomyopathy. The annualized HF hospitalization rate after 12 months was 82% lower [95% confidence interval 72–88%] than the previous 12 months (0.27 vs. 1.52 events/patient‐year, respectively, P < 0.0001). Freedom from device/system‐related complications and pressure sensor failure at 2 years was 100% and 99%, respectively. Conclusions Remote haemodynamic‐guided HF management, using frequent assessment of pulmonary artery pressures, was successfully implemented at 14 specialist centres in the UK. Haemodynamic‐guided HF management was safe and significantly reduced hospitalization in a group of high‐risk patients. These results support implementation of this innovative remote management strategy to improve outcome for patients with symptomatic HF. Clinical registration number: ClinicalTrials.gov identifier: NCT02954341.
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Affiliation(s)
- Martin R Cowie
- Royal Brompton Hospital (Guy's and St Thomas' NHS Foundation Trust), Sydney Street, London, SW3 6NP, UK
| | - Andrew Flett
- University Hospital Southampton, Southampton, UK
| | | | | | | | - Ian Loke
- Glenfield Hospital, Leicester, UK
| | | | | | | | - Tim R Betts
- Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | | | - Amir Zaidi
- Manchester Heart Centre, Manchester Royal Infirmary, Manchester, UK
| | | | | | - Ashish Patwala
- University Hospital of North Staffordshire, Stoke-on-Trent, UK
| | | | - Stephen Pettit
- Royal Papworth Hospital NHS Foundation Trust, Cambridge, UK
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7
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Kanelidis A, Miller T, Belkin M, Siddiqi U, Rogers D, Uriel N, Song T, Ota T, Kalantari S, Sarswat N, Nguyen A, Chung B, Kim G, Smith B, Jeevanandam V, Pinney S, Grinstein J. Low Left Ventricular Stroke Work Index is Associated with a Poor Prognosis in LVAD Patients. J Heart Lung Transplant 2021. [DOI: 10.1016/j.healun.2021.01.339] [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: 10/21/2022] Open
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8
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Goldenberg J, Rogers D, Kagan V, Meehan K, Okray J, Creighton S, LaBuhn C, Song T, Ota T, Jeevanandam V, Nguyen A, Chung B, Smith B, Kalantari S, Grinstein J, Sarswat N, Pinney S, Kim G. Characteristics of LVAD Turn-Down Study to Predict Myocardial Recovery and Successful LVAD Decommissioning. J Heart Lung Transplant 2021. [DOI: 10.1016/j.healun.2021.01.713] [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: 10/21/2022] Open
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9
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Pekala K, Miller D, Fuller T, Orikogbo O, Rogers D, Maganty A, Rusilko P. 111 First-time Transcorporal vs Standard Artificial Urinary Sphincter Placement in Patients with Prior Tadiation for Prostate Cancer: A Comparison of Outcomes. J Sex Med 2021. [DOI: 10.1016/j.jsxm.2021.01.130] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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10
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Garg P, Dakshi A, Assadi H, Swift AJ, Naveed U, Fent G, Lewis N, Rogers D, Charalampopoulos A, Al-Mohammad A. Characterisation of the patients with suspected heart failure: experience from the SHEAF registry. Open Heart 2021; 8:openhrt-2020-001448. [PMID: 33431617 PMCID: PMC7802648 DOI: 10.1136/openhrt-2020-001448] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [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] [Received: 09/16/2020] [Revised: 12/02/2020] [Accepted: 12/14/2020] [Indexed: 11/04/2022] Open
Abstract
OBJECTIVES To characterise and risk-stratify patients presenting to a heart failure (HF) clinic according to the National Institute for health and Care Excellence (NICE) algorithm. METHODS This is an observational study of prospectively collected data in the Sheffield HEArt Failure registry of consecutive patients with suspected HF between April 2012 and January 2020. Outcome was defined as all-cause mortality. RESULTS 6144 patients were enrolled: 71% had HF and 29% had no HF. Patients with N-terminal pro-brain-type natriuretic peptide (NT-proBNP) >2000 pg/mL were more likely to have HF than those with NT-proBNP of 400-2000 pg/mL (92% vs 64%, respectively). Frequency of HF phenotypes include: HF with preserved ejection fraction (HFpEF) (33%), HF with reduced ejection fraction (HFrEF) (29%), HF due to valvular heart disease (4%), HF due to pulmonary hypertension (5%) and HF due to right ventricular systolic dysfunction (1%). There were 1485 (24%) deaths over a maximum follow-up of 6 years. The death rate was higher in HF versus no HF (11.49 vs 7.29 per 100 patient-years follow-up, p<0.0001). Patients with HF and an NT-proBNP >2000 pg/mL had lower survival than those with NT-proBNP 400-2000 pg/mL (3.8 years vs 5 years, p<0.0001). Propensity matched survival curves were comparable between HFpEF and HFrEF (p=0.88). CONCLUSION Our findings support the use by NICE's HF diagnostic algorithm of tiered triage of patients with suspected HF based on their NT-proBNP levels. The two pathways yielded distinctive groups of patients with varied diagnoses and prognosis. HFpEF is the most frequent diagnosis, with its challenges of poor prognosis and paucity of therapeutic options.
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Affiliation(s)
- Pankaj Garg
- IICD, The University of Sheffield, Sheffield, UK
| | - Ahmed Dakshi
- Cardiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | | | - Andrew J Swift
- Academic Unit of Radiology, The University of Sheffield, Sheffield, UK
| | - Umna Naveed
- IICD, The University of Sheffield, Sheffield, UK
| | - Graham Fent
- Cardiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Nigel Lewis
- IICD, The University of Sheffield, Sheffield, UK
| | - Dominic Rogers
- Cardiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | | | - Abdallah Al-Mohammad
- IICD, The University of Sheffield, Sheffield, UK .,Cardiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
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11
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Acharya A, Agarwal R, Baker M, Baudry J, Bhowmik D, Boehm S, Byler KG, Chen S, Coates L, Cooper C, Demerdash O, Daidone I, Eblen J, Ellingson S, Forli S, Glaser J, Gumbart JC, Gunnels J, Hernandez O, Irle S, Kneller D, Kovalevsky A, Larkin J, Lawrence T, LeGrand S, Liu SH, Mitchell J, Park G, Parks J, Pavlova A, Petridis L, Poole D, Pouchard L, Ramanathan A, Rogers D, Santos-Martins D, Scheinberg A, Sedova A, Shen Y, Smith J, Smith M, Soto C, Tsaris A, Thavappiragasam M, Tillack A, Vermaas J, Vuong V, Yin J, Yoo S, Zahran M, Zanetti-Polzi L. Supercomputer-Based Ensemble Docking Drug Discovery Pipeline with Application to Covid-19. J Chem Inf Model 2020; 60:5832-5852. [PMID: 33326239 PMCID: PMC7754786 DOI: 10.1021/acs.jcim.0c01010] [Citation(s) in RCA: 109] [Impact Index Per Article: 27.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Indexed: 01/18/2023]
Abstract
We present a supercomputer-driven pipeline for in silico drug discovery using enhanced sampling molecular dynamics (MD) and ensemble docking. Ensemble docking makes use of MD results by docking compound databases into representative protein binding-site conformations, thus taking into account the dynamic properties of the binding sites. We also describe preliminary results obtained for 24 systems involving eight proteins of the proteome of SARS-CoV-2. The MD involves temperature replica exchange enhanced sampling, making use of massively parallel supercomputing to quickly sample the configurational space of protein drug targets. Using the Summit supercomputer at the Oak Ridge National Laboratory, more than 1 ms of enhanced sampling MD can be generated per day. We have ensemble docked repurposing databases to 10 configurations of each of the 24 SARS-CoV-2 systems using AutoDock Vina. Comparison to experiment demonstrates remarkably high hit rates for the top scoring tranches of compounds identified by our ensemble approach. We also demonstrate that, using Autodock-GPU on Summit, it is possible to perform exhaustive docking of one billion compounds in under 24 h. Finally, we discuss preliminary results and planned improvements to the pipeline, including the use of quantum mechanical (QM), machine learning, and artificial intelligence (AI) methods to cluster MD trajectories and rescore docking poses.
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Affiliation(s)
- A. Acharya
- School of Physics, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - R. Agarwal
- UT/ORNL Center for Molecular Biophysics, Oak Ridge National Laboratory, TN, 37830, USA
- The University of Tennessee, Knoxville. Department of Biochemistry & Cellular and Molecular Biology, 309 Ken and Blaire Mossman Bldg. 1311 Cumberland Avenue Knoxville, TN, 37996, USA
- Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN, 37996, USA
| | - M. Baker
- Computer Science and Mathematics Division, Oak Ridge National Lab, Oak Ridge, TN 37830, USA
| | - J. Baudry
- The University of Alabama in Huntsville, Department of Biological Sciences. 301 Sparkman Drive, Huntsville, AL 35899, USA
| | - D. Bhowmik
- Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
| | - S. Boehm
- Computer Science and Mathematics Division, Oak Ridge National Lab, Oak Ridge, TN 37830, USA
| | - K. G. Byler
- The University of Alabama in Huntsville, Department of Biological Sciences. 301 Sparkman Drive, Huntsville, AL 35899, USA
| | - S.Y. Chen
- Computational Science Initiative, Brookhaven National Laboratory, Upton, NY 11973, USA
| | - L. Coates
- Neutron Scattering Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
| | - C.J. Cooper
- UT/ORNL Center for Molecular Biophysics, Oak Ridge National Laboratory, TN, 37830, USA
- Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN, 37996, USA
| | - O. Demerdash
- Biosciences Division, Oak Ridge National Lab, Oak Ridge, TN 37830, USA
| | - I. Daidone
- Department of Physical and Chemical Sciences, University of L’Aquila, I-67010 L’Aquila, Italy
| | - J.D. Eblen
- UT/ORNL Center for Molecular Biophysics, Oak Ridge National Laboratory, TN, 37830, USA
- The University of Tennessee, Knoxville. Department of Biochemistry & Cellular and Molecular Biology, 309 Ken and Blaire Mossman Bldg. 1311 Cumberland Avenue Knoxville, TN, 37996, USA
| | - S. Ellingson
- University of Kentucky, Division of Biomedical Informatics, College of Medicine, UK Medical Center MN 150, Lexington KY, 40536, USA
| | - S. Forli
- Scripps Research, La Jolla, CA, 92037, USA
| | - J. Glaser
- National Center for Computational Sciences, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA
| | - J. C. Gumbart
- School of Physics, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - J. Gunnels
- HPC Engineering, Amazon Web Services, Seattle, WA 98121, USA
| | - O. Hernandez
- Computer Science and Mathematics Division, Oak Ridge National Lab, Oak Ridge, TN 37830, USA
| | - S. Irle
- Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
- Chemical Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
- Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, TN 37996, USA
| | - D.W. Kneller
- Neutron Scattering Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
| | - A. Kovalevsky
- Neutron Scattering Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
| | - J. Larkin
- NVIDIA Corporation, Santa Clara, CA 95051, USA
| | - T.J. Lawrence
- Biosciences Division, Oak Ridge National Lab, Oak Ridge, TN 37830, USA
| | - S. LeGrand
- NVIDIA Corporation, Santa Clara, CA 95051, USA
| | - S.-H. Liu
- UT/ORNL Center for Molecular Biophysics, Oak Ridge National Laboratory, TN, 37830, USA
- The University of Tennessee, Knoxville. Department of Biochemistry & Cellular and Molecular Biology, 309 Ken and Blaire Mossman Bldg. 1311 Cumberland Avenue Knoxville, TN, 37996, USA
| | - J.C. Mitchell
- Biosciences Division, Oak Ridge National Lab, Oak Ridge, TN 37830, USA
| | - G. Park
- Computational Science Initiative, Brookhaven National Laboratory, Upton, NY 11973, USA
| | - J.M. Parks
- UT/ORNL Center for Molecular Biophysics, Oak Ridge National Laboratory, TN, 37830, USA
- The University of Tennessee, Knoxville. Department of Biochemistry & Cellular and Molecular Biology, 309 Ken and Blaire Mossman Bldg. 1311 Cumberland Avenue Knoxville, TN, 37996, USA
- Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN, 37996, USA
| | - A. Pavlova
- School of Physics, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - L. Petridis
- UT/ORNL Center for Molecular Biophysics, Oak Ridge National Laboratory, TN, 37830, USA
- The University of Tennessee, Knoxville. Department of Biochemistry & Cellular and Molecular Biology, 309 Ken and Blaire Mossman Bldg. 1311 Cumberland Avenue Knoxville, TN, 37996, USA
| | - D. Poole
- NVIDIA Corporation, Santa Clara, CA 95051, USA
| | - L. Pouchard
- Computational Science Initiative, Brookhaven National Laboratory, Upton, NY 11973, USA
| | - A. Ramanathan
- Data Science and Learning Division, Argonne National Lab, Lemont, IL 60439, USA
| | - D. Rogers
- National Center for Computational Sciences, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA
| | | | | | - A. Sedova
- Biosciences Division, Oak Ridge National Lab, Oak Ridge, TN 37830, USA
| | - Y. Shen
- UT/ORNL Center for Molecular Biophysics, Oak Ridge National Laboratory, TN, 37830, USA
- The University of Tennessee, Knoxville. Department of Biochemistry & Cellular and Molecular Biology, 309 Ken and Blaire Mossman Bldg. 1311 Cumberland Avenue Knoxville, TN, 37996, USA
- Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN, 37996, USA
| | - J.C. Smith
- UT/ORNL Center for Molecular Biophysics, Oak Ridge National Laboratory, TN, 37830, USA
- The University of Tennessee, Knoxville. Department of Biochemistry & Cellular and Molecular Biology, 309 Ken and Blaire Mossman Bldg. 1311 Cumberland Avenue Knoxville, TN, 37996, USA
| | - M.D. Smith
- UT/ORNL Center for Molecular Biophysics, Oak Ridge National Laboratory, TN, 37830, USA
- The University of Tennessee, Knoxville. Department of Biochemistry & Cellular and Molecular Biology, 309 Ken and Blaire Mossman Bldg. 1311 Cumberland Avenue Knoxville, TN, 37996, USA
| | - C. Soto
- Computational Science Initiative, Brookhaven National Laboratory, Upton, NY 11973, USA
| | - A. Tsaris
- National Center for Computational Sciences, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA
| | | | | | - J.V. Vermaas
- National Center for Computational Sciences, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA
| | - V.Q. Vuong
- Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
- Chemical Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
- Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, TN 37996, USA
| | - J. Yin
- National Center for Computational Sciences, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA
| | - S. Yoo
- Computational Science Initiative, Brookhaven National Laboratory, Upton, NY 11973, USA
| | - M. Zahran
- Department of Biological Sciences, New York City College of Technology, The City University of New York (CUNY), Brooklyn, NY 11201, USA
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12
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Garg P, Wood S, Swift AJ, Fent G, Lewis N, Rogers D, Rothman A, Charalampopoulos A, Al‐Mohammad A. Clinical predictors of all-cause mortality in patients presenting to specialist heart failure clinic with raised NT-proBNP and no heart failure. ESC Heart Fail 2020; 7:1791-1800. [PMID: 32496010 PMCID: PMC7373941 DOI: 10.1002/ehf2.12742] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2019] [Revised: 04/02/2020] [Accepted: 04/21/2020] [Indexed: 01/15/2023] Open
Abstract
AIMS Clinical outcomes for patients suspected of having heart failure (HF) who do not meet the diagnostic criteria of any type of HF by echocardiography remain unknown. The aim of this study was to investigate the clinical predictors of all-cause mortality in patients with suspected HF, a raised N-terminal pro-b-type natriuretic peptide (NTproBNP) and who do not meet the diagnostic criteria of any type of HF by echocardiography. METHODS AND RESULTS Relevant data were taken from the Sheffield HEArt Failure (SHEAF) registry (222349P4). The inclusion criteria were presence of symptoms raising suspicion of HF, NTproBNP > 400 pg/mL, and preserved left ventricular function. Exclusion criteria were any type of HF by echocardiography. The outcome was defined as all-cause mortality. Cox proportional-hazards regression model was used to investigate the association between the survival time of patients and clinical variables; 1031 patients were identified with NTproBNP > 400 pg/mL but who did not have echocardiographic evidence of HF. All-cause mortality was 21.5% (222 deaths) over the mean follow-up (FU) period of 6 ± 2 years. NTproBNP was similar in patients who were alive or dead (P = 0.96). However, age (HR 1, P < 0.01), chronic kidney disease (CKD, HR 1.2, P < 0.01), chronic pulmonary obstructive disease (COPD, HR 1.6, P < 0.01), dementia (HR 5.9, P < 0.01), male gender (HR 1.4, P < 0.01), first-degree atrioventricular block (HR 2.1, P < 0.01), left axis deviation (HR 1.6, P = 0.04), and diabetes (HR 1.4, P = 0.03) were associated with all-cause mortality. In multivariate regression, age, gender, CKD stage, COPD, and dementia were independently associated with mortality. In patients with NTproBNP > 627 pg/mL, NYHA class predicted death (II, 19.6%; III, 27.4%; IV, 66.7%; P < 0.01). CONCLUSIONS Patients with no HF on echocardiography but raised NTproBNP suffer excess mortality particularly in the presence of certain clinical variables. Age, male gender, worsening CKD stage, presence of COPD, and dementia are independently associated with all-cause mortality in these patients. An NTproBNP > 627 pg/mL coupled with NYHA class could identify patients at greatest risk of death.
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Affiliation(s)
- Pankaj Garg
- Department of Infection, Immunity & Cardiovascular DiseaseUniversity of SheffieldSheffieldUK
- Sheffield Teaching Hospitals NHS Foundation TrustSheffieldUK
| | - Steven Wood
- Sheffield Teaching Hospitals NHS Foundation TrustSheffieldUK
| | - Andrew J. Swift
- Department of Infection, Immunity & Cardiovascular DiseaseUniversity of SheffieldSheffieldUK
- Sheffield Teaching Hospitals NHS Foundation TrustSheffieldUK
| | - Graham Fent
- Sheffield Teaching Hospitals NHS Foundation TrustSheffieldUK
| | - Nigel Lewis
- Sheffield Teaching Hospitals NHS Foundation TrustSheffieldUK
| | - Dominic Rogers
- Sheffield Teaching Hospitals NHS Foundation TrustSheffieldUK
| | - Alexander Rothman
- Department of Infection, Immunity & Cardiovascular DiseaseUniversity of SheffieldSheffieldUK
- Sheffield Teaching Hospitals NHS Foundation TrustSheffieldUK
| | | | - Abdallah Al‐Mohammad
- Department of Infection, Immunity & Cardiovascular DiseaseUniversity of SheffieldSheffieldUK
- Sheffield Teaching Hospitals NHS Foundation TrustSheffieldUK
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13
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Acharya A, Agarwal R, Baker M, Baudry J, Bhowmik D, Boehm S, Byler KG, Coates L, Chen SY, Cooper CJ, Demerdash O, Daidone I, Eblen JD, Ellingson S, Forli S, Glaser J, Gumbart JC, Gunnels J, Hernandez O, Irle S, Larkin J, Lawrence TJ, LeGrand S, Liu SH, Mitchell JC, Park G, Parks JM, Pavlova A, Petridis L, Poole D, Pouchard L, Ramanathan A, Rogers D, Santos-Martins D, Scheinberg A, Sedova A, Shen S, Smith JC, Smith MD, Soto C, Tsaris A, Thavappiragasam M, Tillack AF, Vermaas JV, Vuong VQ, Yin J, Yoo S, Zahran M, Zanetti-Polzi L. Supercomputer-Based Ensemble Docking Drug Discovery Pipeline with Application to Covid-19. ChemRxiv 2020:12725465. [PMID: 33200117 PMCID: PMC7668744 DOI: 10.26434/chemrxiv.12725465] [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] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Revised: 07/29/2020] [Indexed: 01/18/2023]
Abstract
We present a supercomputer-driven pipeline for in-silico drug discovery using enhanced sampling molecular dynamics (MD) and ensemble docking. We also describe preliminary results obtained for 23 systems involving eight protein targets of the proteome of SARS CoV-2. THe MD performed is temperature replica-exchange enhanced sampling, making use of the massively parallel supercomputing on the SUMMIT supercomputer at Oak Ridge National Laboratory, with which more than 1ms of enhanced sampling MD can be generated per day. We have ensemble docked repurposing databases to ten configurations of each of the 23 SARS CoV-2 systems using AutoDock Vina. We also demonstrate that using Autodock-GPU on SUMMIT, it is possible to perform exhaustive docking of one billion compounds in under 24 hours. Finally, we discuss preliminary results and planned improvements to the pipeline, including the use of quantum mechanical (QM), machine learning, and AI methods to cluster MD trajectories and rescore docking poses.
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Affiliation(s)
- A Acharya
- School of Physics, Georgia Institute of Technology, Atlanta, GA 30332
| | - R Agarwal
- UT/ORNL Center for Molecular Biophysics, Oak Ridge National Laboratory, TN, 37830
- The University of Tennessee, Knoxville. Department of Biochemistry & Cellular and Molecular Biology, 309 Ken and Blaire Mossman Bldg. 1311 Cumberland Avenue Knoxville, TN, 37996
- Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN, 37996
| | - M Baker
- Computer Science and Mathematics Division, Oak Ridge National Lab, Oak Ridge, TN 37830
| | - J Baudry
- The University of Alabama in Huntsville, Department of Biological Sciences. 301 Sparkman Drive, Huntsville, AL 35899
| | - D Bhowmik
- Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831
| | - S Boehm
- Computer Science and Mathematics Division, Oak Ridge National Lab, Oak Ridge, TN 37830
| | - K G Byler
- The University of Alabama in Huntsville, Department of Biological Sciences. 301 Sparkman Drive, Huntsville, AL 35899
| | - L Coates
- Neutron Scattering Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831
| | - S Y Chen
- Computational Science Initiative, Brookhaven National Laboratory, Upton, NY 11973
| | - C J Cooper
- UT/ORNL Center for Molecular Biophysics, Oak Ridge National Laboratory, TN, 37830
- Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN, 37996
| | - O Demerdash
- Biosciences Division, Oak Ridge National Lab, Oak Ridge, TN 37830
| | - I Daidone
- Department of Physical and Chemical Sciences, University of L'Aquila, I-67010 L'Aquila, Italy
| | - J D Eblen
- UT/ORNL Center for Molecular Biophysics, Oak Ridge National Laboratory, TN, 37830
- The University of Tennessee, Knoxville. Department of Biochemistry & Cellular and Molecular Biology, 309 Ken and Blaire Mossman Bldg. 1311 Cumberland Avenue Knoxville, TN, 37996
| | - S Ellingson
- University of Kentucky, Division of Biomedical Informatics, College of Medicine, UK Medical Center MN 150, Lexington KY, 40536
| | - S Forli
- Scripps Research, La Jolla, CA, 92037
| | - J Glaser
- National Center for Computational Sciences, Oak Ridge National Laboratory, Oak Ridge, TN 37830
| | - J C Gumbart
- School of Physics, Georgia Institute of Technology, Atlanta, GA 30332
| | - J Gunnels
- HPC Engineering, Amazon Web Services, Seattle, WA 98121
| | - O Hernandez
- Computer Science and Mathematics Division, Oak Ridge National Lab, Oak Ridge, TN 37830
| | - S Irle
- Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831
- Chemical Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831
- Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, TN 37996
| | - J Larkin
- NVIDIA Corporation, Santa Clara, CA 95051
| | - T J Lawrence
- Biosciences Division, Oak Ridge National Lab, Oak Ridge, TN 37830
| | - S LeGrand
- NVIDIA Corporation, Santa Clara, CA 95051
| | - S-H Liu
- UT/ORNL Center for Molecular Biophysics, Oak Ridge National Laboratory, TN, 37830
- The University of Tennessee, Knoxville. Department of Biochemistry & Cellular and Molecular Biology, 309 Ken and Blaire Mossman Bldg. 1311 Cumberland Avenue Knoxville, TN, 37996
| | - J C Mitchell
- Biosciences Division, Oak Ridge National Lab, Oak Ridge, TN 37830
| | - G Park
- Computational Science Initiative, Brookhaven National Laboratory, Upton, NY 11973
| | - J M Parks
- UT/ORNL Center for Molecular Biophysics, Oak Ridge National Laboratory, TN, 37830
- The University of Tennessee, Knoxville. Department of Biochemistry & Cellular and Molecular Biology, 309 Ken and Blaire Mossman Bldg. 1311 Cumberland Avenue Knoxville, TN, 37996
- Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN, 37996
| | - A Pavlova
- School of Physics, Georgia Institute of Technology, Atlanta, GA 30332
| | - L Petridis
- UT/ORNL Center for Molecular Biophysics, Oak Ridge National Laboratory, TN, 37830
- The University of Tennessee, Knoxville. Department of Biochemistry & Cellular and Molecular Biology, 309 Ken and Blaire Mossman Bldg. 1311 Cumberland Avenue Knoxville, TN, 37996
| | - D Poole
- NVIDIA Corporation, Santa Clara, CA 95051
| | - L Pouchard
- Computational Science Initiative, Brookhaven National Laboratory, Upton, NY 11973
| | - A Ramanathan
- Data Science and Learning Division, Argonne National Lab, Lemont, IL 60439
| | - D Rogers
- National Center for Computational Sciences, Oak Ridge National Laboratory, Oak Ridge, TN 37830
| | | | | | - A Sedova
- Biosciences Division, Oak Ridge National Lab, Oak Ridge, TN 37830
| | - S Shen
- UT/ORNL Center for Molecular Biophysics, Oak Ridge National Laboratory, TN, 37830
- The University of Tennessee, Knoxville. Department of Biochemistry & Cellular and Molecular Biology, 309 Ken and Blaire Mossman Bldg. 1311 Cumberland Avenue Knoxville, TN, 37996
- Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN, 37996
| | - J C Smith
- UT/ORNL Center for Molecular Biophysics, Oak Ridge National Laboratory, TN, 37830
- The University of Tennessee, Knoxville. Department of Biochemistry & Cellular and Molecular Biology, 309 Ken and Blaire Mossman Bldg. 1311 Cumberland Avenue Knoxville, TN, 37996
| | - M D Smith
- UT/ORNL Center for Molecular Biophysics, Oak Ridge National Laboratory, TN, 37830
- The University of Tennessee, Knoxville. Department of Biochemistry & Cellular and Molecular Biology, 309 Ken and Blaire Mossman Bldg. 1311 Cumberland Avenue Knoxville, TN, 37996
| | - C Soto
- Computational Science Initiative, Brookhaven National Laboratory, Upton, NY 11973
| | - A Tsaris
- National Center for Computational Sciences, Oak Ridge National Laboratory, Oak Ridge, TN 37830
| | | | | | - J V Vermaas
- National Center for Computational Sciences, Oak Ridge National Laboratory, Oak Ridge, TN 37830
| | - V Q Vuong
- Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831
- Chemical Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831
- Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, TN 37996
| | - J Yin
- National Center for Computational Sciences, Oak Ridge National Laboratory, Oak Ridge, TN 37830
| | - S Yoo
- Computational Science Initiative, Brookhaven National Laboratory, Upton, NY 11973
| | - M Zahran
- Department of Biological Sciences, New York City College of Technology, The City University of New York (CUNY), Brooklyn, NY 11201
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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 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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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Engelen AJ, Randsdorp PHG, Cassaigne R, Dutta SM, Harboe M, Harju M, van der Heeft FC, Hirota T, McKellar RC, Playne M, Rogers D, San José C, de Vrese M. Determination of Neutral Lactase Activity in Industrial Enzyme Preparations by a Colorimetric Enzymatic Method: Collaborative Study. J AOAC Int 2020. [DOI: 10.1093/jaoac/82.1.112] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [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
Thirteen laboratories participated in a collaborative study to validate a colorimetric assay for determining neutral lactase activity in industrial enzyme preparations. Each laboratory received 5 duplicate samples with activity levels of 2000 and 5000 neutral lactase units provided by 4 commercial suppliers. Two laboratories did not return results. Method performance was calculated according to AOAC guidelines. From the 11 remaining laboratories, 3 were excluded from statistical analysis because of invalid data determined during initial review by Youden pair, value versus laboratory. Repeatability relative standard deviation (RSDr) values ranged from 3.20 to 8.62%, and reproducibility relative standard deviation (RSDR) values ranged from 8.77 to 16.35%. With outliers excluded, RSDr values ranged from 2.94 to 5.01%, and RSDRvalues ranged from 7.50 to 13.84%. The colorimetric enzymatic method for determining neutral lactase activity in industrial enzyme preparations has been adopted first action by AOAC INTERNATIONAL.
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Affiliation(s)
- Adrianus J Engelen
- Gist-brocades b.v., Intercompany Service Laboratory, PO Box 1, 2600 MA Delft, The Netherlands
| | - Peter H G Randsdorp
- Gist-brocades b.v., Intercompany Service Laboratory, PO Box 1, 2600 MA Delft, The Netherlands
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Rogers D. EP-1701 Inverse square corrections for WAFACs. Radiother Oncol 2019. [DOI: 10.1016/s0167-8140(19)32121-8] [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: 11/26/2022]
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Manning G, Hendry B, Taylor S, Jones W, Strader M, Bencomo T, Bailey L, Bedolla C, Roldan C, Moudiotis B, Vaidya C, Anning S, Bunce S, Estcourt E, Folland E, Gordon C, Harrill J, Ireland J, Piper L, Scaife K, Sutton S, Wilkins M, Costelloe J, Palmer L, Casas C, Miller M, Burgard C, Erickson J, Hallanger-Johnson P, Clark W, Taylor A, Lafferty S, Gillett C, Nolan M, Pathak L, Sondrol T, Hjelle S, Hafner J, Kotrba R, Hendrickson A, Cemeroglu T, Symington M, Daniel Y, Appiagyei-Dankah D, Postellon M, Racine L, Kleis K, Barnes S, Godwin H, McCullough K, Shaheen G, Buck L, Noel M, Warren S, Weber S, Parker I, Gillespie B, Nelson C, Frost J, Amrhein E, Moreland A, Hayes J, Peggram J, Aisenberg M, Riordan J, Zasa E, Cummings K, Scott T, Pinto A, Mokashi K, McAssey E, Helden P, Hammond L, Dinning S, Rahman S, Ray C, Dimicri S, Guppy H, Nielsen C, Vogel C, Ariza L, Morales Y, Chang R, Gabbay L, Ambrocio L, Manley R, Nemery W, Charlton P, Smith L, Kerr B, Steindel-Kopp M, Alamaguer D, Liljenquist G, Browning T, Coughenour M, Sulk E, Tsalikan M, Tansey J, Cabbage N. Identical and Nonidentical Twins: Risk and Factors Involved in Development of Islet Autoimmunity and Type 1 Diabetes. Diabetes Care 2019; 42:192-199. [PMID: 30061316 PMCID: PMC6341285 DOI: 10.2337/dc18-0288] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [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: 02/07/2018] [Accepted: 06/28/2018] [Indexed: 02/03/2023]
Abstract
OBJECTIVE There are variable reports of risk of concordance for progression to islet autoantibodies and type 1 diabetes in identical twins after one twin is diagnosed. We examined development of positive autoantibodies and type 1 diabetes and the effects of genetic factors and common environment on autoantibody positivity in identical twins, nonidentical twins, and full siblings. RESEARCH DESIGN AND METHODS Subjects from the TrialNet Pathway to Prevention Study (N = 48,026) were screened from 2004 to 2015 for islet autoantibodies (GAD antibody [GADA], insulinoma-associated antigen 2 [IA-2A], and autoantibodies against insulin [IAA]). Of these subjects, 17,226 (157 identical twins, 283 nonidentical twins, and 16,786 full siblings) were followed for autoantibody positivity or type 1 diabetes for a median of 2.1 years. RESULTS At screening, identical twins were more likely to have positive GADA, IA-2A, and IAA than nonidentical twins or full siblings (all P < 0.0001). Younger age, male sex, and genetic factors were significant factors for expression of IA-2A, IAA, one or more positive autoantibodies, and two or more positive autoantibodies (all P ≤ 0.03). Initially autoantibody-positive identical twins had a 69% risk of diabetes by 3 years compared with 1.5% for initially autoantibody-negative identical twins. In nonidentical twins, type 1 diabetes risk by 3 years was 72% for initially multiple autoantibody-positive, 13% for single autoantibody-positive, and 0% for initially autoantibody-negative nonidentical twins. Full siblings had a 3-year type 1 diabetes risk of 47% for multiple autoantibody-positive, 12% for single autoantibody-positive, and 0.5% for initially autoantibody-negative subjects. CONCLUSIONS Risk of type 1 diabetes at 3 years is high for initially multiple and single autoantibody-positive identical twins and multiple autoantibody-positive nonidentical twins. Genetic predisposition, age, and male sex are significant risk factors for development of positive autoantibodies in twins.
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Affiliation(s)
- Taylor M. Triolo
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO
| | - Alexandra Fouts
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO
| | - Laura Pyle
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Liping Yu
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO
| | - Peter A. Gottlieb
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO
| | - Andrea K. Steck
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO
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Redondo MJ, Geyer S, Steck AK, Sharp S, Wentworth JM, Weedon MN, Antinozzi P, Sosenko J, Atkinson M, Pugliese A, Oram RA, Antinozzi P, Atkinson M, Battaglia M, Becker D, Bingley P, Bosi E, Buckner J, Colman P, Gottlieb P, Herold K, Insel R, Kay T, Knip M, Marks J, Moran A, Palmer J, Peakman M, Philipson L, Pugliese A, Raskin P, Rodriguez H, Roep B, Russell W, Schatz D, Wherrett D, Wilson D, Winter W, Ziegler A, Benoist C, Blum J, Chase P, Clare-Salzler M, Clynes R, Eisenbarth G, Fathman C, Grave G, Hering B, Kaufman F, Leschek E, Mahon J, Nanto-Salonen K, Nepom G, Orban T, Parkman R, Pescovitz M, Peyman J, Roncarolo M, Simell O, Sherwin R, Siegelman M, Steck A, Thomas J, Trucco M, Wagner J, Greenbaum ,CJ, Bourcier K, Insel R, Krischer JP, Leschek E, Rafkin L, Spain L, Cowie C, Foulkes M, Krause-Steinrauf H, Lachin JM, Malozowski S, Peyman J, Ridge J, Savage P, Skyler JS, Zafonte SJ, Kenyon NS, Santiago I, Sosenko JM, Bundy B, Abbondondolo M, Adams T, Amado D, Asif I, Boonstra M, Bundy B, Burroughs C, Cuthbertson D, Deemer M, Eberhard C, Fiske S, Ford J, Garmeson J, Guillette H, Browning G, Coughenour T, Sulk M, Tsalikan E, Tansey M, Cabbage J, Dixit N, Pasha S, King M, Adcock K, Geyer S, Atterberry H, Fox L, Englert K, Mauras N, Permuy J, Sikes K, Berhe T, Guendling B, McLennan L, Paganessi L, Hays B, Murphy C, Draznin M, Kamboj M, Sheppard S, Lewis V, Coates L, Moore W, Babar G, Bedard J, Brenson-Hughes D, Henderson C, Cernich J, Clements M, Duprau R, Goodman S, Hester L, Huerta-Saenz L, Karmazin A, Letjen T, Raman S, Morin D, Henry M, Bestermann W, Morawski E, White J, Brockmyer A, Bays R, Campbell S, Stapleton A, Stone N, Donoho A, Everett H, Heyman K, Hensley H, Johnson M, Marshall C, Skirvin N, Taylor P, Williams R, Ray L, Wolverton C, Nickels D, Dothard C, Hsiao B, Speiser P, Pellizzari M, Bokor L, Izuora K, Abdelnour S, Cummings P, Paynor S, Leahy M, Riedl M, Shockley S, Karges C, Saad R, Briones T, Casella S, Herz C, Walsh K, Greening J, Hay F, Hunt S, Sikotra N, Simons L, Keaton N, Karounos D, Oremus R, Dye L, Myers L, Ballard D, Miers W, Sparks R, Thraikill K, Edwards K, Fowlkes J, Kinderman A, Kemp S, Morales A, Holland L, Johnson L, Paul P, Ghatak A, Phelen K, Leyland H, Henderson T, Brenner D, Law P, Oppenheimer E, Mamkin I, Moniz C, Clarson C, Lovell M, Peters A, Ruelas V, Borut D, Burt D, Jordan M, Leinbach A, Castilla S, Flores P, Ruiz M, Hanson L, Green-Blair J, Sheridan R, Wintergerst K, Pierce G, Omoruyi A, Foster M, Linton C, Kingery S, Lunsford A, Cervantes I, Parker T, Price P, Urben J, Doughty I, Haydock H, Parker V, Bergman P, Liu S, Duncum S, Rodda C, Thomas A, Ferry R, McCommon D, Cockroft J, Perelman A, Calendo R, Barrera C, Arce-Nunez E, Lloyd J, Martinez Y, De la Portilla M, Cardenas I, Garrido L, Villar M, Lorini R, Calandra E, D’Annuzio G, Perri K, Minuto N, Malloy J, Rebora C, Callegari R, Ali O, Kramer J, Auble B, Cabrera S, Donohoue P, Fiallo-Scharer R, Hessner M, Wolfgram P, Maddox K, Kansra A, Bettin N, McCuller R, Miller A, Accacha S, Corrigan J, Fiore E, Levine R, Mahoney T, Polychronakos C, Martin J, Gagne V, Starkman H, Fox M, Chin D, Melchionne F, Silverman L, Marshall I, Cerracchio L, Cruz J, Viswanathan A, Miller J, Wilson J, Chalew S, Valley S, Layburn S, Lala A, Clesi P, Genet M, Uwaifo G, Charron A, Allerton T, Milliot E, Cefalu W, Melendez-Ramirez L, Richards R, Alleyn C, Gustafson E, Lizanna M, Wahlen J, Aleiwe S, Hansen M, Wahlen H, Moore M, Levy C, Bonaccorso A, Rapaport R, Tomer Y, Chia D, Goldis M, Iazzetti L, Klein M, Levister C, Waldman L, Muller S, Wallach E, Regelmann M, Antal Z, Aranda M, Reynholds C, Leech N, Wake D, Owens C, Burns M, Wotherspoon J, Nguyen T, Murray A, Short K, Curry G, Kelsey S, Lawson J, Porter J, Stevens S, Thomson E, Winship S, Wynn L, O’Donnell R, Wiltshire E, Krebs J, Cresswell P, Faherty H, Ross C, Vinik A, Barlow P, Bourcier M, Nevoret M, Couper J, Oduah V, Beresford S, Thalagne N, Roper H, Gibbons J, Hill J, Balleaut S, Brennan C, Ellis-Gage J, Fear L, Gray T, Pilger J, Jones L, McNerney C, Pointer L, Price N, Few K, Tomlinson D, Denvir L, Drew J, Randell T, Mansell P, Roberts A, Bell S, Butler S, Hooton Y, Navarra H, Roper A, Babington G, Crate L, Cripps H, Ledlie A, Moulds C, Sadler K, Norton R, Petrova B, Silkstone O, Smith C, Ghai K, Murray M, Viswanathan V, Henegan M, Kawadry O, Olson J, Stavros T, Patterson L, Ahmad T, Flores B, Domek D, Domek S, Copeland K, George M, Less J, Davis T, Short M, Tamura R, Dwarakanathan A, O’Donnell P, Boerner B, Larson L, Phillips M, Rendell M, Larson K, Smith C, Zebrowski K, Kuechenmeister L, Wood K, Thevarayapillai M, Daniels M, Speer H, Forghani N, Quintana R, Reh C, Bhangoo A, Desrosiers P, Ireland L, Misla T, Xu P, Torres C, Wells S, Villar J, Yu M, Berry D, Cook D, Soder J, Powell A, Ng M, Morrison M, Young K, Haslam Z, Lawson M, Bradley B, Courtney J, Richardson C, Watson C, Keely E, DeCurtis D, Vaccarcello-Cruz M, Torres Z, Alies P, Sandberg K, Hsiang H, Joy B, McCormick D, Powell A, Jones H, Bell J, Hargadon S, Hudson S, Kummer M, Badias F, Sauder S, Sutton E, Gensel K, Aguirre-Castaneda R, Benavides Lopez V, Hemp D, Allen S, Stear J, Davis E, Jones T, Baker A, Roberts A, Dart J, Paramalingam N, Levitt Katz L, Chaudhary N, Murphy K, Willi S, Schwartzman B, Kapadia C, Larson D, Bassi M, McClellan D, Shaibai G, Kelley L, Villa G, Kelley C, Diamond R, Kabbani M, Dajani T, Hoekstra F, Magorno M, Beam C, Holst J, Chauhan V, Wilson N, Bononi P, Sperl M, Millward A, Eaton M, Dean L, Olshan J, Renna H, Boulware D, Milliard C, Snyder D, Beaman S, Burch K, Chester J, Ahmann A, Wollam B, DeFrang D, Fitch R, Jahnke K, Bounmananh L, Hanavan K, Klopfenstein B, Nicol L, Bergstrom R, Noland T, Brodksy J, Bacon L, Quintos J, Topor L, Bialo S, Bream S, Bancroft B, Soto A, Lagarde W, Lockemer H, Vanderploeg T, Ibrahim M, Huie M, Sanchez V, Edelen R, Marchiando R, Freeman D, Palmer J, Repas T, Wasson M, Auker P, Culbertson J, Kieffer T, Voorhees D, Borgwardt T, DeRaad L, Eckert K, Gough J, Isaacson E, Kuhn H, Carroll A, Schubert M, Francis G, Hagan S, Le T, Penn M, Wickham E, Leyva C, Ginem J, Rivera K, Padilla J, Rodriguez I, Jospe N, Czyzyk J, Johnson B, Nadgir U, Marlen N, Prakasam G, Rieger C, Granger M, Glaser N, Heiser E, Harris B, Foster C, Slater H, Wheeler K, Donaldson D, Murray M, Hale D, Tragus R, Holloway M, Word D, Lynch J, Pankratz L, Rogers W, Newfield R, Holland S, Hashiguchi M, Gottschalk M, Philis-Tsimikas A, Rosal R, Kieffer M, Franklin S, Guardado S, Bohannon N, Garcia M, Aguinaldo T, Phan J, Barraza V, Cohen D, Pinsker J, Khan U, Lane P, Wiley J, Jovanovic L, Misra P, Wright M, Cohen D, Huang K, Skiles M, Maxcy S, Pihoker C, Cochrane K, Nallamshetty L, Fosse J, Kearns S, Klingsheim M, Wright N, Viles L, Smith H, Heller S, Cunningham M, Daniels A, Zeiden L, Parrimon Y, Field J, Walker R, Griffin K, Bartholow L, Erickson C, Howard J, Krabbenhoft B, Sandman C, Vanveldhuizen A, Wurlger J, Paulus K, Zimmerman A, Hanisch K, Davis-Keppen L, Cotterill A, Kirby J, Harris M, Schmidt A, Kishiyama C, Flores C, Milton J, Ramiro J, Martin W, Whysham C, Yerka A, Freels T, Hassing J, Webster J, Green R, Carter P, Galloway J, Hoelzer D, Ritzie AQL, Roberts S, Said S, Sullivan P, Allen H, Reiter E, Feinberg E, Johnson C, Newhook L, Hagerty D, White N, Sharma A, Levandoski L, Kyllo J, Johnson M, Benoit C, Iyer P, Diamond F, Hosono H, Jackman S, Barette L, Jones P, Shor A, Sills I, Bzdick S, Bulger J, Weinstock R, Douek I, Andrews R, Modgill G, Gyorffy G, Robin L, Vaidya N, Song X, Crouch S, O’Brien K, Thompson C, Thorne N, Blumer J, Kalic J, Klepek L, Paulett J, Rosolowski B, Horner J, Terry A, Watkins M, Casey J, Carpenter K, Burns C, Horton J, Pritchard C, Soetaert D, Wynne A, Kaiserman K, Halvorson M, Weinberger J, Chin C, Molina O, Patel C, Senguttuvan R, Wheeler M, Furet O, Steuhm C, Jelley D, Goudeau S, Chalmers L, Wootten M, Greer D, Panagiotopoulos C, Metzger D, Nguyen D, Horowitz M, Christiansen M, Glades E, Morimoto C, Macarewich M, Norman R, Harding P, Patin K, Vargas C, Barbanica A, Yu A, Vaidyanathan P, Osborne W, Mehra R, Kaster S, Neace S, Horner J, McDonough S, Reeves G, Cordrey C, Marrs L, Miller T, Dowshen S, Doyle D, Walker S, Catte D, Dean H, Drury-Brown M, McGee PF, Hackman B, Lee M, Malkani S, Cullen K, Johnson K, Hampton P, McCarrell M, Curtis C, Paul E, Zambrano Y, Hess KO, Phoebus D, Quinlan S, Raiden E, Batts E, Buddy C, Kirpatrick K, Ramey M, Shultz A, Webb C, Romesco M, Fradkin J, Blumberg E, Beck G, Brillon D, Gubitosi-Klug R, Laffel L, Veatch R, Wallace D, Braun J, Lernmark A, Lo B, Mitchell H, Naji A, Nerup J, Orchard T, Steffes M, Tsiatis A, Zinman B, Loechelt B, Baden L, Green M, Weinberg A, Marcovina S, Palmer JP, Weinberg A, Yu L, Babu S, Winter W, Eisenbarth GS, Bingley P, Clynes R, DiMeglio L, Eisenbarth G, Hays B, Marks J, Matheson D, Rodriguez H, Wilson D, Redondo MJ, Gomez D, Zheng X, Pena S, Pietropaolo M, Batts E, Brown T, Buckner J, Dove A, Hammond M, Hefty D, Klein J, Kuhns K, Letlau M, Lord S, McCulloch-Olson M, Miller L, Nepom G, Odegard J, Ramey M, Sachter E, St. Marie M, Stickney K, VanBuecken D, Vellek B, Webber C, Allen L, Bollyk J, Hilderman N, Ismail H, Lamola S, Sanda S, Vendettuoli H, Tridgell D, Monzavi R, Bock M, Fisher L, Halvorson M, Jeandron D, Kim M, Wood J, Geffner M, Kaufman F, Parkman R, Salazar C, Goland R, Clynes R, Cook S, Freeby M, Gallagher MP, Gandica R, Greenberg E, Kurland A, Pollak S, Wolk A, Chan M, Koplimae L, Levine E, Smith K, Trast J, DiMeglio L, Blum J, Evans-Molina C, Hufferd R, Jagielo B, Kruse C, Patrick V, Rigby M, Spall M, Swinney K, Terrell J, Christner L, Ford L, Lynch S, Menendez M, Merrill P, Pescovitz M, Rodriguez H, Alleyn C, Baidal D, Fay S, Gaglia J, Resnick B, Szubowicz S, Weir G, Benjamin R, Conboy D, deManbey A, Jackson R, Jalahej H, Orban T, Ricker A, Wolfsdorf J, Zhang HH, Wilson D, Aye T, Baker B, Barahona K, Buckingham B, Esrey K, Esrey T, Fathman G, Snyder R, Aneja B, Chatav M, Espinoza O, Frank E, Liu J, Perry J, Pyle R, Rigby A, Riley K, Soto A, Gitelman S, Adi S, Anderson M, Berhel A, Breen K, Fraser K, Gerard-Gonzalez A, Jossan P, Lustig R, Moassesfar S, Mugg A, Ng D, Prahalod P, Rangel-Lugo M, Sanda S, Tarkoff J, Torok C, Wesch R, Aslan I, Buchanan J, Cordier J, Hamilton C, Hawkins L, Ho T, Jain A, Ko K, Lee T, Phelps S, Rosenthal S, Sahakitrungruang T, Stehl L, Taylor L, Wertz M, Wong J, Philipson L, Briars R, Devine N, Littlejohn E, Grant T, Gottlieb P, Klingensmith G, Steck A, Alkanani A, Bautista K, Bedoy R, Blau A, Burke B, Cory L, Dang M, Fitzgerald-Miller L, Fouts A, Gage V, Garg S, Gesauldo P, Gutin R, Hayes C, Hoffman M, Ketchum K, Logsden-Sackett N, Maahs D, Messer L, Meyers L, Michels A, Peacock S, Rewers M, Rodriguez P, Sepulbeda F, Sippl R, Steck A, Taki I, Tran BK, Tran T, Wadwa RP, Zeitler P, Barker J, Barry S, Birks L, Bomsburger L, Bookert T, Briggs L, Burdick P, Cabrera R, Chase P, Cobry E, Conley A, Cook G, Daniels J, DiDomenico D, Eckert J, Ehler A, Eisenbarth G, Fain P, Fiallo-Scharer R, Frank N, Goettle H, Haarhues M, Harris S, Horton L, Hutton J, Jeffrrey J, Jenison R, Jones K, Kastelic W, King MA, Lehr D, Lungaro J, Mason K, Maurer H, Nguyen L, Proto A, Realsen J, Schmitt K, Schwartz M, Skovgaard S, Smith J, Vanderwel B, Voelmle M, Wagner R, Wallace A, Walravens P, Weiner L, Westerhoff B, Westfall E, Widmer K, Wright H, Schatz D, Abraham A, Atkinson M, Cintron M, Clare-Salzler M, Ferguson J, Haller M, Hosford J, Mancini D, Rohrs H, Silverstein J, Thomas J, Winter W, Cole G, Cook R, Coy R, Hicks E, Lewis N, Marks J, Pugliese A, Blaschke C, Matheson D, Sanders-Branca N, Sosenko J, Arazo L, Arce R, Cisneros M, Sabbag S, Moran A, Gibson C, Fife B, Hering B, Kwong C, Leschyshyn J, Nathan B, Pappenfus B, Street A, Boes MA, Eck SP, Finney L, Fischer TA, Martin A, Muzamhindo CJ, Rhodes M, Smith J, Wagner J, Wood B, Becker D, Delallo K, Diaz A, Elnyczky B, Libman I, Pasek B, Riley K, Trucco M, Copemen B, Gwynn D, Toledo F, Rodriguez H, Bollepalli S, Diamond F, Eyth E, Henson D, Lenz A, Shulman D, Raskin P, Adhikari S, Dickson B, Dunnigan E, Lingvay I, Pruneda L, Ramos-Roman M, Raskin P, Rhee C, Richard J, Siegelman M, Sturges D, Sumpter K, White P, Alford M, Arthur J, Aviles-Santa ML, Cordova E, Davis R, Fernandez S, Fordan S, Hardin T, Jacobs A, Kaloyanova P, Lukacova-Zib I, Mirfakhraee S, Mohan A, Noto H, Smith O, Torres N, Wherrett D, Balmer D, Eisel L, Kovalakovska R, Mehan M, Sultan F, Ahenkorah B, Cevallos J, Razack N, Ricci MJ, Rhode A, Srikandarajah M, Steger R, Russell WE, Black M, Brendle F, Brown A, Moore D, Pittel E, Robertson A, Shannon A, Thomas JW, Herold K, Feldman L, Sherwin R, Tamborlane W, Weinzimer S, Toppari J, Kallio T, Kärkkäinen M, Mäntymäki E, Niininen T, Nurmi B, Rajala P, Romo M, Suomenrinne S, Näntö-Salonen K, Simell O, Simell T, Bosi E, Battaglia M, Bianconi E, Bonfanti R, Grogan P, Laurenzi A, Martinenghi S, Meschi F, Pastore M, Falqui L, Muscato MT, Viscardi M, Castleden H, Farthing N, Loud S, Matthews C, McGhee J, Morgan A, Pollitt J, Elliot-Jones R, Wheaton C, Knip M, Siljander H, Suomalainen H, Colman P, Healy F, Mesfin S, Redl L, Wentworth J, Willis J, Farley M, Harrison L, Perry C, Williams F, Mayo A, Paxton J, Thompson V, Volin L, Fenton C, Carr L, Lemon E, Swank M, Luidens M, Salgam M, Sharma V, Schade D, King C, Carano R, Heiden J, Means N, Holman L, Thomas I, Madrigal D, Muth T, Martin C, Plunkett C, Ramm C, Auchus R, Lane W, Avots E, Buford M, Hale C, Hoyle J, Lane B, Muir A, Shuler S, Raviele N, Ivie E, Jenkins M, Lindsley K, Hansen I, Fadoju D, Felner E, Bode B, Hosey R, Sax J, Jefferies C, Mannering S, Prentis R, She J, Stachura M, Hopkins D, Williams J, Steed L, Asatapova E, Nunez S, Knight S, Dixon P, Ching J, Donner T, Longnecker S, Abel K, Arcara K, Blackman S, Clark L, Cooke D, Plotnick L, Levin P, Bromberger L, Klein K, Sadurska K, Allen C, Michaud D, Snodgrass H, Burghen G, Chatha S, Clark C, Silverberg J, Wittmer C, Gardner J, LeBoeuf C, Bell P, McGlore O, Tennet H, Alba N, Carroll M, Baert L, Beaton H, Cordell E, Haynes A, Reed C, Lichter K, McCarthy P, McCarthy S, Monchamp T, Roach J, Manies S, Gunville F, Marosok L, Nelson T, Ackerman K, Rudolph J, Stewart M, McCormick K, May S, Falls T, Barrett T, Dale K, Makusha L, McTernana C, Penny-Thomas K, Sullivan K, Narendran P, Robbie J, Smith D, Christensen R, Koehler B, Royal C, Arthur T, Houser H, Renaldi J, Watsen S, Wu P, Lyons L, House B, Yu J, Holt H, Nation M, Vickers C, Watling R, Heptulla R, Trast J, Agarwal C, Newell D, Katikaneni R, Gardner C, Del Rio A, Logan A, Collier H, Rishton C, Whalley G, Ali A, Ramtoola S, Quattrin T, Mastrandea L, House A, Ecker M, Huang C, Gougeon C, Ho J, Pacuad D, Dunger D, May J, O’Brien C, Acerini C, Salgin B, Thankamony A, Williams R, Buse J, Fuller G, Duclos M, Tricome J, Brown H, Pittard D, Bowlby D, Blue A, Headley T, Bendre S, Lewis K, Sutphin K, Soloranzo C, Puskaric J, Madison H, Rincon M, Carlucci M, Shridharani R, Rusk B, Tessman E, Huffman D, Abrams H, Biederman B, Jones M, Leathers V, Brickman W, Petrie P, Zimmerman D, Howard J, Miller L, Alemzadeh R, Mihailescu D, Melgozza-Walker R, Abdulla N, Boucher-Berry C, Ize-Ludlow D, Levy R, Swenson Brousell C, Scott R, Heenan H, Lunt H, Kendall D, Willis J, Darlow B, Crimmins N, Edler D, Weis T, Schultz C, Rogers D, Latham D, Mawhorter C, Switzer C, Spencer W, Konstantnopoulus P, Broder S, Klein J, Bachrach B, Gardner M, Eichelberger D, Knight L, Szadek L, Welnick G, Thompson B, Hoffman R, Revell A, Cherko J, Carter K, Gilson E, Haines J, Arthur G, Bowen B, Zipf W, Graves P, Lozano R, Seiple D, Spicer K, Chang A, Fregosi J, Harbinson J, Paulson C, Stalters S, Wright P, Zlock D, Freeth A, Victory J, Maheshwari H, Maheshwari A, Holmstrom T, Bueno J, Arguello R, Ahern J, Noreika L, Watson V, Hourse S, Breyer P, Kissel C, Nicholson Y, Pfeifer M, Almazan S, Bajaj J, Quinn M, Funk K, McCance J, Moreno E, Veintimilla R, Wells A, Cook J, Trunnel S, Transue D, Surhigh J, Bezzaire D, Moltz K, Zacharski E, Henske J, Desai S, Frizelis K, Khan F, Sjoberg R, Allen K, Manning P, Hendry G, Taylor B, Jones S, Couch R, Danchak R, Lieberman D, Strader W, Bencomo M, Bailey T, Bedolla L, Roldan C, Moudiotis C, Vaidya B, Anning C, Bunce S, Estcourt S, Folland E, Gordon E, Harrill C, Ireland J, Piper J, Scaife L, Sutton K, Wilkins S, Costelloe M, Palmer J, Casas L, Miller C, Burgard M, Erickson C, Hallanger-Johnson J, Clark P, Taylor W, Galgani J, Banerjee S, Banda C, McEowen D, Kinman R, Lafferty A, Gillett S, Nolan C, Pathak M, Sondrol L, Hjelle T, Hafner S, Kotrba J, Hendrickson R, Cemeroglu A, Symington T, Daniel M, Appiagyei-Dankah Y, Postellon D, Racine M, Kleis L, Barnes K, Godwin S, McCullough H, Shaheen K, Buck G, Noel L, Warren M, Weber S, Parker S, Gillespie I, Nelson B, Frost C, Amrhein J, Moreland E, Hayes A, Peggram J, Aisenberg J, Riordan M, Zasa J, Cummings E, Scott K, Pinto T, Mokashi A, McAssey K, Helden E, Hammond P, Dinning L, Rahman S, Ray S, Dimicri C, Guppy S, Nielsen H, Vogel C, Ariza C, Morales L, Chang Y, Gabbay R, Ambrocio L, Manley L, Nemery R, Charlton W, Smith P, Kerr L, Steindel-Kopp B, Alamaguer M, Tabisola-Nuesca E, Pendersen A, Larson N, Cooper-Olviver H, Chan D, Fitz-Patrick D, Carreira T, Park Y, Ruhaak R, Liljenquist D. A Type 1 Diabetes Genetic Risk Score Predicts Progression of Islet Autoimmunity and Development of Type 1 Diabetes in Individuals at Risk. Diabetes Care 2018; 41:1887-1894. [PMID: 30002199 PMCID: PMC6105323 DOI: 10.2337/dc18-0087] [Citation(s) in RCA: 86] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2018] [Accepted: 06/06/2018] [Indexed: 02/03/2023]
Abstract
OBJECTIVE We tested the ability of a type 1 diabetes (T1D) genetic risk score (GRS) to predict progression of islet autoimmunity and T1D in at-risk individuals. RESEARCH DESIGN AND METHODS We studied the 1,244 TrialNet Pathway to Prevention study participants (T1D patients' relatives without diabetes and with one or more positive autoantibodies) who were genotyped with Illumina ImmunoChip (median [range] age at initial autoantibody determination 11.1 years [1.2-51.8], 48% male, 80.5% non-Hispanic white, median follow-up 5.4 years). Of 291 participants with a single positive autoantibody at screening, 157 converted to multiple autoantibody positivity and 55 developed diabetes. Of 953 participants with multiple positive autoantibodies at screening, 419 developed diabetes. We calculated the T1D GRS from 30 T1D-associated single nucleotide polymorphisms. We used multivariable Cox regression models, time-dependent receiver operating characteristic curves, and area under the curve (AUC) measures to evaluate prognostic utility of T1D GRS, age, sex, Diabetes Prevention Trial-Type 1 (DPT-1) Risk Score, positive autoantibody number or type, HLA DR3/DR4-DQ8 status, and race/ethnicity. We used recursive partitioning analyses to identify cut points in continuous variables. RESULTS Higher T1D GRS significantly increased the rate of progression to T1D adjusting for DPT-1 Risk Score, age, number of positive autoantibodies, sex, and ethnicity (hazard ratio [HR] 1.29 for a 0.05 increase, 95% CI 1.06-1.6; P = 0.011). Progression to T1D was best predicted by a combined model with GRS, number of positive autoantibodies, DPT-1 Risk Score, and age (7-year time-integrated AUC = 0.79, 5-year AUC = 0.73). Higher GRS was significantly associated with increased progression rate from single to multiple positive autoantibodies after adjusting for age, autoantibody type, ethnicity, and sex (HR 2.27 for GRS >0.295, 95% CI 1.47-3.51; P = 0.0002). CONCLUSIONS The T1D GRS independently predicts progression to T1D and improves prediction along T1D stages in autoantibody-positive relatives.
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Affiliation(s)
- Maria J. Redondo
- Texas Children’s Hospital, Baylor College of Medicine, Houston, TX
| | | | - Andrea K. Steck
- Barbara Davis Center for Childhood Diabetes, University of Colorado School of Medicine, Aurora, CO
| | - Seth Sharp
- Institute of Biomedical and Clinical Science, University of Exeter, Exeter, U.K
| | - John M. Wentworth
- Walter and Eliza Hall Institute of Medical Research and Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Michael N. Weedon
- Institute of Biomedical and Clinical Science, University of Exeter, Exeter, U.K
| | | | | | | | | | - Richard A. Oram
- Institute of Biomedical and Clinical Science, University of Exeter, Exeter, U.K
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Providencia R, Barra S, Papageorgiou N, Ioannou A, Rogers D, Wongwarawipat T, Falconer D, Duehmke R, Colicchia M, Babu G, Segal OR, Sporton S, Dhinoja M, Ahsan S, Ezzat V, Rowland E, Lowe M, Lambiase PD, Agarwal S, Chow AW. Dual-site right ventricular pacing in patients undergoing cardiac resynchronization therapy: Results of a multicenter propensity-matched analysis. Pacing Clin Electrophysiol 2017; 40:1113-1120. [PMID: 28734025 DOI: 10.1111/pace.13145] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/17/2017] [Revised: 05/26/2017] [Accepted: 06/13/2017] [Indexed: 11/28/2022]
Abstract
BACKGROUND Dual-site right ventricular pacing (Dual RV) has been proposed as an alternative for patients with heart failure undergoing cardiac resynchronization therapy (CRT) with a failure to deliver a coronary sinus (CS) lead. Only short-term hemodynamic and echocardiographic results of Dual RV are available. We aimed to assess the long-term results of Dual RV and its impact on survival. METHODS Multicenter retrospective assessment of all CRT implants during a 12-year period. Patients with failed CS lead implantation, treated with Dual RV, were followed and assessed for the primary endpoint of all-cause mortality and/or heart transplant. A control group was obtained from contemporary patients using propensity matching for all available baseline variables. RESULTS Ninety-three patients were implanted with Dual RV devices and compared with 93 matched controls. During a median of 1,273 days (interquartile range 557-2,218), intention-to-treat analysis showed that all-cause mortality and/or heart transplant was higher in the Dual RV group (adjusted hazard ratio [HR] = 1.66, 95% confidence interval [CI] 1.12-2.47, P = 0.012). As-treated analysis yielded similar results (HR = 1.97, 95% CI 1.31-2.96, P = 0.001). Cardiac device-related infections occurred seven times more frequently in the Dual RV site group (HR = 7.60, 95% CI 1.51-38.33, P = 0.014). Among Dual RV nonresponders, four had their apical leads switched off, five required an epicardial LV lead insertion, a transseptal LV lead was implanted in two, and in nine patients, after reviewing the CS venogram, a new CS lead insertion was successfully attempted. CONCLUSION Dual RV pacing is associated with worse clinical outcomes and higher complication rates than conventional CRT.
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Affiliation(s)
| | - Sergio Barra
- Papworth Hospital NHS Foundation Trust, Cambridge, UK
| | | | - Adam Ioannou
- The Heart Hospital, University College of London Hospitals NHS Trust, London, UK
| | - Dominic Rogers
- The Heart Hospital, University College of London Hospitals NHS Trust, London, UK
| | | | - Debbie Falconer
- The Heart Hospital, University College of London Hospitals NHS Trust, London, UK
| | | | | | - Girish Babu
- The Heart Hospital, University College of London Hospitals NHS Trust, London, UK
| | | | - Simon Sporton
- Barts Heart Centre, Barts Health NHS Trust, London, UK
| | - Mehul Dhinoja
- Barts Heart Centre, Barts Health NHS Trust, London, UK
| | - Syed Ahsan
- Barts Heart Centre, Barts Health NHS Trust, London, UK
| | | | | | - Martin Lowe
- Barts Heart Centre, Barts Health NHS Trust, London, UK
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Providencia R, Rogers D, Papageorgiou N, Ioannou A, James A, Babu G, Cobb V, Ahsan S, Segal OR, Rowland E, Lowe M, Lambiase PD, Chow AW. Long-Term Results of Triventricular Versus Biventricular Pacing in Heart Failure. JACC Clin Electrophysiol 2016; 2:825-835. [DOI: 10.1016/j.jacep.2016.05.015] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2016] [Accepted: 05/12/2016] [Indexed: 10/21/2022]
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Philippsen T, Orini M, Martin C, Volkova E, Ormerod J, Sohaib S, Elamin N, Blake S, Sawhney V, Ahmad S, Waring O, Bowers R, Raiman L, Hazelwood T, Mills R, Corrado C, Honarbakhsh S, Von Maydell A, Norrish G, Chubb H, Chubb H, Chubb H, Toledano M, Ruiz A, van Zalen J, Foley P, Pearman C, Rehal O, Foley P, Wong L, Foley P, Pearman C, Brahmbhatt D, Khan H, Wardley J, Akbar S, Christensen L, Hansen M, Brandes A, Tinker A, Munroe P, Lambiase P, Honarbakhsh S, McLean A, Lambiase P, Schilling R, Lane J, Chow A, Earley M, Hunter R, Khan F, Lambiase P, Schilling R, Sporton S, Dhinoja M, Camm C, Xavier R, de Sousa M, Betts T, Shun-Shin M, Wright I, Lim E, Lim P, Koawing M, Lefroy D, Linton N, Davies D, Peters N, Kanagaratnam P, Francis D, Whinnett Z, Khan M, Bowes R, Sahu J, Sheridan P, Rogers D, Kyriacou A, Kelland N, Lewis N, Lee J, Segall E, Diab I, Breitenstein A, Ullah W, Sporton S, Earley M, Finlay M, Dhinoja M, Schilling R, Hunter R, Ahmed M, Petkar S, Davidson N, Stout M, Pearce KP, Leo M, Ginks M, Rajappan K, Bashir Y, Balasubramaniam R, Sopher S, Betts T, Paisey J, Cheong J, Roy D, Adhya S, Williams S, O'Neill M, Niederer S, Providencia R, Srinivasan N, Ahsan S, Lowe M, Segal O, Hunter R, Finlay M, Earley M, Schilling R, Lambiase P, Stella S, Cantwell C, Chowdhury R, Kim S, Linton N, Whinnett Z, Koa-Wing M, Lefroy D, Davies DW, Kanagaratnam P, Lim PB, Qureshi N, Peters N, Cantarutti N, Limongelli G, Elliott P, Kaski J, Williams S, Lal K, Harrison J, Whitaker J, Kiedrowicz R, Wright M, O'Neill M, Harrison J, Whitaker J, Williams S, Wright M, Schaeffter T, Razavi R, O'Neill M, Karim R, Williams S, Harrison J, Whitaker J, Wright M, Schaeffter T, Razavi R, O'Neill M, Montanes M, Ella Field E, Walsh H, Callaghan N, Till J, Mangat J, Lowe M, Kaski J, Ruiz Duthil A, Li A, Saba M, Patel N, Beale L, Brickley G, Lloyd G, French A, Khavandi A, McCrea W, Barnes E, Chandrasekaran B, Parry J, Garth L, Chapman J, Todd D, Hobbs J, Modi S, Waktare J, Hall M, Gupta D, Snowdon R, Papageorgiou N, Providência R, Falconer D, Sewart E, Ahsan S, Segal O, Ezzat V, Rowland E, Lowe M, Lambiase P, Chow A, Swift M, Charlton P, James J, Colling A, Barnes E, Starling L, Kontogeorgis A, Roses-Noguer F, Wong T, Jarman J, Clague J, Till J, Colling A, James J, Hawkins M, Burnell S, Chandrasekaran B, Coulson J, Smith L, Choudhury M, Oguguo E, Boyett M, Morris G, Flinn W, Chari A, Belham M, Pugh P, Somarakis K, Parasa R, Allata A, Hashim H, Mathew T, Kayasundar S, Venables P, Quinn J, Ivanova J, Brown S, Oliver R, Lyons M, Chuen M, Walsh J, Robinson T, Staniforth A, Ahsan A, Jamil-Copley S. POSTERS (2)96CONTINUOUS VERSUS INTERMITTENT MONITORING FOR DETECTION OF SUBCLINICAL ATRIAL FIBRILLATION IN HIGH-RISK PATIENTS97HIGH DAY-TO-DAY INTRA-INDIVIDUAL REPRODUCIBILITY OF THE HEART RATE RESPONSE TO EXERCISE IN THE UK BIOBANK DATA98USE OF NOVEL GLOBAL ULTRASOUND IMAGING AND CONTINUEOUS DIPOLE DENSITY MAPPING TO GUIDE ABLATION IN MACRO-REENTRANT TACHYCARDIAS99ANTICOAGULATION AND THE RISK OF COMPLICATIONS IN PATIENTS UNDERGOING VT AND PVC ABLATION100NON-SUSTAINED VENTRICULAR TACHYCARDIA FREQUENTLY PRECEDES CARDIAC ARREST IN PATIENTS WITH BRUGADA SYNDROME101USING HIGH PRECISION HAEMODYNAMIC MEASUREMENTS TO ASSESS DIFFERENCES IN AV OPTIMUM BETWEEN DIFFERENT LEFT VENTRICULAR LEAD POSITIONS IN BIVENTRICULAR PACING102CAN WE PREDICT MEDIUM TERM MORTALITY FROM TRANSVENOUS LEAD EXTRACTION PRE-OPERATIVELY?103PREVENTION OF UNECESSARY ADMISSIONS IN ATRIAL FIBRILLATION104EPICARDIAL CATHETER ABLATION FOR VENTRICULAR TACHYCARDIA ON UNINTERRUPTED WARFARIN: A SAFE APPROACH?105HOW WELL DOES THE NATIONAL INSTITUTE OF CLINICAL EXCELLENCE (NICE) GUIDENCE ON TRANSIENT LOSS OF CONSCIOUSNESS (T-LoC) WORK IN A REAL WORLD? AN AUDIT OF THE SECOND STAGE SPECIALIST CARDIOVASCULAT ASSESSMENT AND DIAGNOSIS106DETECTION OF ATRIAL FIBRILLATION IN COMMUNITY LOCATIONS USING NOVEL TECHNOLOGY'S AS A METHOD OF STROKE PREVENTION IN THE OVER 65'S ASYMPTOMATIC POPULATION - SHOULD IT BECOME STANDARD PRACTISE?107HIGH-DOSE ISOPRENALINE INFUSION AS A METHOD OF INDUCTION OF ATRIAL FIBRILLATION: A MULTI-CENTRE, PLACEBO CONTROLLED CLINICAL TRIAL IN PATIENTS WITH VARYING ARRHYTHMIC RISK108PACEMAKER COMPLICATIONS IN A DISTRICT GENERAL HOSPITAL109CARDIAC RESYNCHRONISATION THERAPY: A TRADE-OFF BETWEEN LEFT VENTRICULAR VOLTAGE OUTPUT AND EJECTION FRACTION?110RAPID DETERIORATION IN LEFT VENTRICULAR FUNCTION AND ACUTE HEART FAILURE AFTER DUAL CHAMBER PACEMAKER INSERTION WITH RESOLUTION FOLLOWING BIVENTRICULAR PACING111LOCALLY PERSONALISED ATRIAL ELECTROPHYSIOLOGY MODELS FROM PENTARAY CATHETER MEASUREMENTS112EVALUATION OF SUBCUTANEOUS ICD VERSUS TRANSVENOUS ICD- A PROPENSITY MATCHED COST-EFFICACY ANALYSIS OF COMPLICATIONS & OUTCOMES113LOCALISING DRIVERS USING ORGANISATIONAL INDEX IN CONTACT MAPPING OF HUMAN PERSISTENT ATRIAL FIBRILLATION114RISK FACTORS FOR SUDDEN CARDIAC DEATH IN PAEDIATRIC HYPERTROPHIC CARDIOMYOPATHY: A SYSTEMATIC REVIEW AND META-ANALYSIS115EFFECT OF CATHETER STABILITY AND CONTACT FORCE ON VISITAG DENSITY DURING PULMONARY VEIN ISOLATION116HEPATIC CAPSULE ENHANCEMENT IS COMMONLY SEEN DURING MR-GUIDED ABLATION OF ATRIAL FLUTTER: A MECHANISTIC INSIGHT INTO PROCEDURAL PAIN117DOES HIGHER CONTACT FORCE IMPAIR LESION FORMATION AT THE CAVOTRICUSPID ISTHMUS? INSIGHTS FROM MR-GUIDED ABLATION OF ATRIAL FLUTTER118CLINICAL CHARACTERISATION OF A MALIGNANT SCN5A MUTATION IN CHILDHOOD119RADIOFREQUENCY ASSOCIATED VENTRICULAR FIBRILLATION120CONTRACTILE RESERVE EXPRESSED AS SYSTOLIC VELOCITY DOES NOT PREDICT RESPONSE TO CRT121DAY-CASE DEVICES - A RETROSPECTIVE STUDY USING PATIENT CODING DATA122PATIENTS UNDERGOING SVT ABLATION HAVE A HIGH INCIDENCE OF SECONDARY ARRHYTHMIA ON FOLLOW UP: IMPLICATIONS FOR PRE-PROCEDURE COUNSELLING123PROGNOSTIC ROLE OF HAEMOGLOBINN AND RED BLOOD CELL DITRIBUTION WIDTH IN PATIENTS WITH HEART FAILURE UNDERGOING CARDIAC RESYNCHRONIZATION THERAPY124REMOTE MONITORING AND FOLLOW UP DEVICES125A 20-YEAR, SINGLE-CENTRE EXPERIENCE OF IMPLANTABLE CARDIOVERTER DEFIBRILLATORS (ICD) IN CHILDREN: TIME TO CONSIDER THE SUBCUTANEOUS ICD?126EXPERIENCE OF MAGNETIC REASONANCE IMAGING (MEI) IN PATIENTS WITH MRI CONDITIONAL DEVICES127THE SINUS BRADYCARDIA SEEN IN ATHLETES IS NOT CAUSED BY ENHANCED VAGAL TONE BUT INSTEAD REFLECTS INTRINSIC CHANGES IN THE SINUS NODE REVEALED BY
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(F) BLOCKADE128SUCCESSFUL DAY-CASE PACEMAKER IMPLANTATION - AN EIGHT YEAR SINGLE-CENTRE EXPERIENCE129LEFT VENTRICULAR INDEX MASS ASSOCIATED WITH ESC HYPERTROPHIC CARDIOMYOPATHY RISK SCORE IN PATIENTS WITH ICDs: A TERTIARY CENTRE HCM REGISTRY130A DGH EXPERIENCE OF DAY-CASE CARDIAC PACEMAKER IMPLANTATION131IS PRE-PROCEDURAL FASTING A NECESSITY FOR SAFE PACEMAKER IMPLANTATION? Europace 2016. [DOI: 10.1093/europace/euw274] [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: 11/14/2022] Open
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Baker M, Rogers D, Miller A, Bowrey D. MON-P049: Incidence of Fluid and Electrolyte Abnormalities and Weight Change after Formation of a Small Bowel Stoma. Clin Nutr 2016. [DOI: 10.1016/s0261-5614(16)30683-5] [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: 10/21/2022]
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Malkov V, Rogers D, Jaffray D. TH-AB-BRA-05: Lung Cannot Be Treated as Homogeneous in Radiation Transport Simulations in Magnetic Fields. Med Phys 2016. [DOI: 10.1118/1.4958056] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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McEwen M, Rogers D, Johns P. MO-DE-BRA-03: The Ottawa Medical Physics Institute (OMPI): A Practical Model for Academic Program Collaboration in a Multi-Centre City. Med Phys 2016. [DOI: 10.1118/1.4957220] [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: 11/07/2022] Open
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Chamberland M, Taylor R, Rogers D, Thomson R. TU-AB-BRC-08: Egs_brachy, a Fast and Versatile Monte Carlo Code for Brachytherapy Applications. Med Phys 2016. [DOI: 10.1118/1.4957402] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Kavi L, Gamble J, Dastagir N, Gilbert K, Furniss G, Rosengarten J, Shunmugam S, Signy J, Umar F, Providência R, Almeida T, Newton J, Nuttall M, Opie-Moran M, Low DA, Nicholson L, Toora D, Caldow E, Gregory K, Khiani R, Herring N, Foley P, Ginks M, Rajappan K, Bashir Y, Betts T, Salinet J, Li X, Vanheusden F, Almeida T, Chu G, Stafford P, Schlindwein F, Ng G, Hogarth A, MacDonald W, Lewis N, Tan L, Tayebjee M, Villaquiran J, Newcombe D, Lines I, Dalrymple-Hay M, Haywood G, Chui K, Dima S, Panagiotou C, Maharatna K, Curzen N, Morgan J, Veasey R, Sugihara C, Anderson S, Furniss S, Sulke N, Puri N, Steele J, Furniss S, Sulke A, Patel N, Veasey R, Taylor R, Stegemann B, Marshall H, Flannigan S, Leyva F, Rogers D, Cobb V, Babu G, Mann I, Bronis K, Posdziech V, Lambiase P, Ahsan S, Segal O, Lowe M, Rowland E, Khan F, Chow A, Chu G, Salinet J, Vanheusden F, Li X, Tuan J, Stafford P, Schlindwein F, Ng GA. Posters 159Misdiagnosed, misbelieved and misdirected; largest uk study casts doubt on some long held but poorly validated assumptions about the pots population and suggests improvements in care pathways and service provision60An acute comparison of different strategies for targeting the left ventricular lead for cardiac resynchronisation therapy61Relationship of phase singularities and high dominant frequency regions during persistent atrial fibrillation in humans62Restoration of sinus rhythm results in early and late improvements in the functional reserve of the heart following direct current cardioversion of persistent af: fresh-af63Non-concomitant hybrid ablation using the estech cobra device for the treatment of longstanding persistent atrial fibrillation: an initial single-centre experience64Artificial intelligence outperforms manual ecg scoring in the detection of arrhythmia substrate65Single centre experience and outcome of persistent af ablation using nmarq catheter: 2 year follow up66The growing burden of atrial fibrillation and management at a typical district general hospital67Haemodynamic effects of single-vein, simultaneous, multipoint pacing compared with bipolar pacing in patients undergoing cardiac resynchronisation therapy68Is multisite pacing of interest in cardiac resynchronization therapy? teachings from a long-term follow-up of a cohort of patients implanted with triventricular pacing systems69Differences in fractionated electrogram detection: a direct quantitative comparison between navx and carto: Table 1. Europace 2015. [DOI: 10.1093/europace/euv329] [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: 11/13/2022] Open
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Sayed RH, Rogers D, Khan F, Wechalekar AD, Lachmann HJ, Fontana M, Mahmood S, Sachchithanantham S, Patel K, Hawkins PN, Whelan CJ, Gillmore JD. A study of implanted cardiac rhythm recorders in advanced cardiac AL amyloidosis. Eur Heart J 2014; 36:1098-105. [PMID: 25549725 DOI: 10.1093/eurheartj/ehu506] [Citation(s) in RCA: 114] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2014] [Accepted: 12/17/2014] [Indexed: 12/19/2022] Open
Abstract
AIMS AL amyloidosis may respond to chemotherapy but two-thirds of patients with severe cardiac involvement die within a year of diagnosis, purportedly from tachyarrhythmias or electromechanical dissociation. We sought to characterize the nature of cardiac arrhythmias in severe cardiac AL amyloidosis using implanted cardiac rhythm recorders. METHODS AND RESULTS Implantable loop recorders (ILRs) were inserted within 24 h of baseline evaluation at the UK National Amyloidosis Centre, into 20 consecutive patients with newly diagnosed severe cardiac AL amyloidosis and symptoms of syncope or pre-syncope. Weekly ILR recordings and additional recordings at the time of symptoms were obtained. Median (range) follow-up from baseline was 308 (10-399) days. Thirteen patients died, and median survival in the whole cohort was 61 days from device insertion. In each of eight evaluable cases, death was heralded by bradycardia, usually associated with complete atrioventricular block (CAVB), followed shortly thereafter by pulseless electrical activity. Four patients received pacemakers, a median (range) of 7 (3-38) h after development of symptomatic CAVB, but these did not prevent rapid cardiac decompensation and death in three cases. Despite 272 loop recordings, there was only one episode of non-sustained ventricular tachycardia, which was preceded by severe bradycardia. Patients who died had significantly worse global left ventricular strain on echocardiography (P = 0.029) and reduced 6 min walk distance (P = 0.048) at baseline compared with survivors. CONCLUSIONS The discovery that bradyarrhythmias heralded terminal cardiac decompensation in most patients with severe cardiac AL amyloidosis supports a study of prophylactic pacemaker insertion in this patient population.
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Affiliation(s)
- Rabya H Sayed
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Campus, Rowland Hill Street, London NW3 2PF, UK
| | - Dominic Rogers
- Department of Cardiology, Royal Free London NHS Foundation Trust, London, UK
| | - Fakhar Khan
- Department of Cardiology, Royal Free London NHS Foundation Trust, London, UK
| | - Ashutosh D Wechalekar
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Campus, Rowland Hill Street, London NW3 2PF, UK
| | - Helen J Lachmann
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Campus, Rowland Hill Street, London NW3 2PF, UK
| | - Marianna Fontana
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Campus, Rowland Hill Street, London NW3 2PF, UK
| | - Shameem Mahmood
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Campus, Rowland Hill Street, London NW3 2PF, UK
| | - Sajitha Sachchithanantham
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Campus, Rowland Hill Street, London NW3 2PF, UK
| | - Ketna Patel
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Campus, Rowland Hill Street, London NW3 2PF, UK
| | - Philip N Hawkins
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Campus, Rowland Hill Street, London NW3 2PF, UK
| | - Carol J Whelan
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Campus, Rowland Hill Street, London NW3 2PF, UK Department of Cardiology, Royal Free London NHS Foundation Trust, London, UK
| | - Julian D Gillmore
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Campus, Rowland Hill Street, London NW3 2PF, UK
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Rogers D, Stopford C, Howard E, Trender-Gerhard I, Alusi S, Davies R, Craufurd D. L20 Huntington's Disease - Bad For Your Wealth As Well As Your Health? Journal of Neurology, Neurosurgery & Psychiatry 2014. [DOI: 10.1136/jnnp-2014-309032.257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Rogers D, Evans B, Roberts C, Cuc A, Mittenberg W. B-49 * Neuropsychologists' Preferences for DSM-5 versus ICD-10, NINDS, or Other Diagnostic Criteria. Arch Clin Neuropsychol 2014. [DOI: 10.1093/arclin/acu038.137] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Rodriguez M, Rogers D. WE-C-108-12: Accounting for Intrinsic Energy Dependence of TLDs When Establishing Dose Rate Constants for Brachytherapy Seeds. Med Phys 2013. [DOI: 10.1118/1.4815535] [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: 11/07/2022] Open
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Muir B, Rogers D. SU-C-105-05: Reference Dosimetry of High-Energy Electron Beams with a Farmer-Type Ionization Chamber. Med Phys 2013. [DOI: 10.1118/1.4813929] [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: 11/07/2022] Open
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Hendee W, Slattery P, Karellas A, Rogers D. TU-F-137-01: Writing and Reviewing Papers for Medical Physics. Med Phys 2013. [DOI: 10.1118/1.4815445] [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: 11/07/2022] Open
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Ali E, McEwen M, Rogers D. Sci-Thur PM: YIS - 02: A validated approach for clinical linacs to accurately determine the photon spectra and the incident electron energy. Med Phys 2012; 39:4622. [DOI: 10.1118/1.4740099] [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: 11/07/2022] Open
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Melchior RW, Schiavo K, Frey T, Rogers D, Patel J, Chelnik K, Rosenthal T. Evaluation of the Maquet Neonatal and Pediatric Quadrox I with an integrated arterial line filter during cardiopulmonary bypass. Perfusion 2012; 27:399-406. [PMID: 22717608 DOI: 10.1177/0267659112450059] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
BACKGROUND Perfusion equipment has evolved since its introduction into clinical practice more than fifty years ago to include smaller cardiopulmonary bypass (CPB) circuits and components. Perfusionists are now exploring the function of new oxygenators with an integrated arterial line filter (IALF). The purpose of this trial was to examine the Maquet Quadrox-I Neonatal and Pediatric oxygenators with IALF in a clinical setting, with respect to gas transfer, heat exchange co-efficiency (HEC), trans-membrane pressure (TMP) gradient and clinical experience. METHODS The Maquet Quadrox-I Neonatal oxygenator was used on 30 patients ranging from 2.2-13.1 kg. The Maquet Quadrox-I Pediatric oxygenator was used on 15 patients ranging from 12.7-24.5 kg. Arterial and venous blood gases were taken once the patient was stable on CPB and, subsequently, every 30 minutes afterwards, as per institution protocol. The values for gas transfer rates, HEC and TMP gradient were stratified into three main categories with each oxygenator: normothermia, cooling and re-warming. RESULTS During all conditions, the gas transfer rate with both oxygenators was efficient. The HEC values showed efficient heat exchanger performance during all conditions with both oxygenators. While maintaining CPB flow within the manufacturer's recommended flow rate for each oxygenator, the TMP gradient range for the Neonatal Quadrox-I was 10-40 mmHg and the Pediatric Quadrox-I was 10-60 mmHg. During the clinical trial, foam was shown to break through the cardiotomy on several occasions when high sucker return was required. CONCLUSION This new line of oxygenators performed well with regards to gas transfer, HEC and TMP gradient, but there were clinical experiences that did not meet expectations. There were repeated incidences with the venous reservoir which ultimately cast a negative light on the design of this new product from Maquet. In the future, the authors would like to evaluate updated versions of this product from Maquet and any other pediatric perfusion devices that could help the patient in the clinical arena.
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Affiliation(s)
- R W Melchior
- Department of Perfusion Services, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.
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Hendee W, Slattery P, Rogers D, Karellas A. WE-E-218-01: Writing and Reviewing Papers in Medical Physics. Med Phys 2012; 39:3963. [DOI: 10.1118/1.4736172] [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: 11/07/2022] Open
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Rodriguez M, Rogers D. WE-C-BRB-03: Effect of Scattered Photons When Determining Dose Rate Constants Spectroscopically. Med Phys 2012. [DOI: 10.1118/1.4736096] [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: 11/07/2022] Open
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Rodriguez M, Rogers D. SU-E-T-482: A More Accurate Bare 12 5I Spectrum. Med Phys 2012; 39:3816. [PMID: 28517479 DOI: 10.1118/1.4735571] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
PURPOSE To compare measured energy spectra of 125 I brachytherapy seeds with Monte Carlo calculated energy spectra when using the bare 125 I energy spectrum recommended by TG43 and the one presented in NCRP Report 58 and to determine the impact of these different spectra on the calculation of the dose rate constant. METHODS The energy spectrum, absorbed dose at 1 cm on the bisector and air kerma strength of 10 different 125 I seeds were calculated using the EGSnrc BrachyDose Monte Carlo code. Energy bin width was 0.2 keV. The simulations were done with the bare 125 I energy spectrum recommended by TG43 or NCRP Report 58. Statistical uncertainties for the energy spectra were 0.02% and 0.1% or less for the other clinical parameters. Results are compared with published measuredvalues. RESULTS There is close agreement between the measured and calculated branching ratio generated by 125 I seeds when simulated using the spectrum presented in NCRP58. However, for all seeds a 7% lower value is observed in the 31 keV peak when using data suggested by TG43. On the other hand, differences in the average energy, air kerma, absorbed dose and dose rate constant are undetectable (less than statistical uncertainty, <0.1%) when performed with either spectrum. CONCLUSIONS For dosimetric parameter calculations, the bare 125 I energy spectra presented in TG43 and NCRP58 produce indistinguishable results. However, for branching ratio investigation purposes, there is a clear difference in the 31 keV peak between values obtained using the different 125 I bare energy spectra. Measured 125 I branching ratios are in close agreement with those calculated using the bare 125 I energy spectrum presented in NCRP58. Reassessment of the bare 125 I energy spectrum recommended in TG43 is suggested.
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Affiliation(s)
- M Rodriguez
- Carleton University, Ottawa, Ontario.,Universidad Nacional Autonoma de Honduras, Tegucigalpa Honduras
| | - D Rogers
- Carleton University, Ottawa, Ontario.,Universidad Nacional Autonoma de Honduras, Tegucigalpa Honduras
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Rogers D. TH-D-BRCD-01: TG-51 Addendum: New KQ Values. Med Phys 2012. [DOI: 10.1118/1.4736341] [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: 11/07/2022] Open
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Affiliation(s)
- Jem D Lane
- Department of Cardiology, Royal Free Hospital, London, UK
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Melchior RW, Rosenthal T, Schiavo K, Frey T, Rogers D, Patel J, Holt DW. A systematic evaluation of the core communication skills expected of a perfusionist. Perfusion 2011; 27:43-8. [DOI: 10.1177/0267659111424641] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Background: The objective of this systematic evaluation was to identify the sentinel standards necessary to obtain a core level of communication required of a clinical perfusionist during cardiopulmonary bypass (CPB). Once these sentinel standards were identified and a core level of communication was established (via four simulated case scenarios), a team of cardiac healthcare professionals was assembled to interpret both the accuracy of response and the speed of response encountered in each case scenario. Methods: Four simulated case scenarios were utilized in order to replicate the typical patterns of verbal exchange that occur during surgeries using extracorporeal technology. The simulated case scenarios included CPB interactions associated with preparation, initiation, maintenance, termination and post CPB. For all CPB interactions, two variables were measured: accuracy of the perfusionist’s response and speed of the perfusionist’s response. The cases took place in a controlled setting within an empty operating room at The Children’s Hospital of Philadelphia. Four clinical perfusionists each represented the role of the “perfusionist” in all simulated case scenarios. Results: When analyzing the accuracy and speed of the responses, each clinical perfusionist recorded an average score of 96.3% or higher with all case scenarios. Since the clinical perfusionists who participated in the scenarios were primarily pediatric perfusionists, the scores were best during the pediatric case scenario, 99.3% (Case Scenario #4). The lowest scores were captured during Case Scenario #3 (96.3%) which involved a more intense adult patient scenario. Conclusion: The systematic evaluation of both response accuracy and response time (presented in various adult and pediatric patient case scenarios) can be beneficial within the realm of perfusion education. Students will be introduced to core communication concepts within the clinical realm. This study supports the idea that simulation and evaluation may ease the transition for students from the didactic to clinical realm in terms of communication. Further studies need to be developed in order to define “standard” CPB communication guidelines for perfusion students.
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Affiliation(s)
- RW Melchior
- Department of Perfusion Services, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - T Rosenthal
- Department of Perfusion Services, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - K Schiavo
- Department of Perfusion Services, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - T Frey
- Department of Perfusion Services, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - D Rogers
- Department of Perfusion Services, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - J Patel
- Department of Perfusion Services, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - DW Holt
- School of Allied Health Professions, University of Nebraska Medical Center, Omaha, Nebraska, USA
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41
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Dunlop J, Lauck S, Brown B, Rogers D, Aubert J. N012 Transcatheter heart valve procedures: Bridging cardiac surgery and interventional cardiology nursing to facilitate practice in a ‘hybrid' setting. Can J Cardiol 2011. [DOI: 10.1016/j.cjca.2011.08.013] [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: 10/16/2022] Open
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42
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Bougioukos M, Kouloumentas C, Spyropoulou M, Giannoulis G, Kalavrouziotis D, Maziotis A, Bakopoulos P, Harmon R, Rogers D, Harrison J, Poustie A, Maxwell G, Avramopoulos H. Multi-format all-optical processing based on a large-scale, hybridly integrated photonic circuit. Opt Express 2011; 19:11479-11489. [PMID: 21716380 DOI: 10.1364/oe.19.011479] [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] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
We investigate through numerical studies and experiments the performance of a large scale, silica-on-silicon photonic integrated circuit for multi-format regeneration and wavelength-conversion. The circuit encompasses a monolithically integrated array of four SOAs inside two parallel Mach-Zehnder structures, four delay interferometers and a large number of silica waveguides and couplers. Exploiting phase-incoherent techniques, the circuit is capable of processing OOK signals at variable bit rates, DPSK signals at 22 or 44 Gb/s and DQPSK signals at 44 Gbaud. Simulation studies reveal the wavelength-conversion potential of the circuit with enhanced regenerative capabilities for OOK and DPSK modulation formats and acceptable quality degradation for DQPSK format. Regeneration of 22 Gb/s OOK signals with amplified spontaneous emission (ASE) noise and DPSK data signals degraded with amplitude, phase and ASE noise is experimentally validated demonstrating a power penalty improvement up to 1.5 dB.
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Affiliation(s)
- M Bougioukos
- National Technical University of Athens, Athens, Greece.
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43
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Boone J, Fahrig R, Rogers D, Starkschall G, Halvorsen P, Hendee W, Seibert J. MO-C-BRA-03: The Future of Medical Physics: Challenges and Opportunities. Med Phys 2011. [DOI: 10.1118/1.3612903] [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: 11/07/2022] Open
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44
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Hendee W, Rogers D, Karellas A, Slattery P. MO-F-301-01: Writing and Reviewing Papers for Medical Physics. Med Phys 2011. [DOI: 10.1118/1.3613041] [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: 11/07/2022] Open
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45
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Rogers D. TU-C-BRA-01: Progress in Calculations of KQ for TG-51. Med Phys 2011. [DOI: 10.1118/1.3613119] [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: 11/07/2022] Open
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46
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Muir B, McEwen M, Rogers D. 106 oral HOW ACCURATE ARE MONTE CARLO CALCULATED KQ FACTORS FOR EXTERNAL BEAM RADIOTHERAPY? Radiother Oncol 2011. [DOI: 10.1016/s0167-8140(11)70229-8] [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]
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47
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Ali E, Rogers D. 378 oral FUNCTIONAL FORMS FOR PHOTON SPECTRA OF CLINICAL LINACS. Radiother Oncol 2011. [DOI: 10.1016/s0167-8140(11)70500-x] [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]
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48
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Llanos J, Williams PM, Cheng S, Rogers D, Wright C, Pérez A, Cañizares P. Characterization of a ceramic ultrafiltration membrane in different operational states after its use in a heavy-metal ion removal process. Water Res 2010; 44:3522-3530. [PMID: 20451946 DOI: 10.1016/j.watres.2010.03.036] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2010] [Revised: 03/26/2010] [Accepted: 03/29/2010] [Indexed: 05/29/2023]
Abstract
In the present study, the atomic force microscopy (AFM) technique has been used to characterize a Carbosep M5 ceramic membrane (MWCO=10kDa, TiO(2)-ZrO(2) active layer). This membrane was previously used in a polymer supported ultrafiltration (PSU) process to recover copper, using partially ethoxylated polyethylenimine as the water-soluble polymer. The membrane was characterized in four different operational states: new, new and cleaned, fouled in a PSU stage and cleaned after a PSU process. The influence of the membrane state on pore opening size distribution and roughness was studied, finding a 16% decrease in the former and a 20% increase in the latter due to foulant deposition upon the membrane active layer. Phase angle distribution was also analyzed to indicate the foulant spreading on the membrane surface. These phase angle measurements can be related to pore opening size and roughness, concluding that the cleaning procedure is not totally effective and that foulant presence on the membrane active layer is not remarkable. Finally, AFM was used to measure the influence of pH on adhesion forces between a silica probe and the membrane active layer. These results can be related to the flux evolution vs pH in PSU experiments, finding both lowest adhesion and highest flux at pH 6.
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Affiliation(s)
- J Llanos
- Chemical Engineering Department, Faculty of Chemical Sciences, University of Castilla-La Mancha. Edificio Enrique Costa Novella, Avda. Camilo José Cela 12, 13071 Ciudad Real, Spain.
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Slattery P, Hendee W, Karellas A, Rogers D. WE-C-202-01: Medical Physics Publishing. Med Phys 2010. [DOI: 10.1118/1.3469386] [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: 11/07/2022] Open
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50
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Muir B, Rogers D. SU-EE-A2-05: Central Electrode Correction Factor, Pcel, for Steel and Wire Electrodes. Med Phys 2010. [DOI: 10.1118/1.3468016] [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: 11/07/2022] Open
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