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3. POS1249 LUNG ULTRASOUND CHANGES COMPARED WITH AUTOMATED QUANTITATIVE COMPUTED TOMOGRAPHY FOR DETECTING SYSTEMIC SCLEROSIS-ASSOCIATED INTERSTITIAL LUNG DISEASE

Author

Reza Beigi, D. M., primary, Pellegrino, G., additional, Landini, N., additional, Mattone, M., additional, Paone, G., additional, Truglia, S., additional, DI Ciommo, F. R., additional, Bisconti, I., additional, Cadar, M., additional, Stefanantoni, K., additional, Panebianco, V., additional, Conti, F., additional, and Riccieri, V., additional

Published
2023
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7. Standardising definitions for the pre-eclampsia core outcome set: A consensus development study

Author

Duffy, J. M. N., Cairns, A. E., Magee, L. A., von Dadelszen, P., van 't Hooft, J., Gale, C., Brown, M., Chappell, L. C., Grobman, W. A., Fitzpatrick, R., Karumanchi, S. A., Lucas, D. N., Mol, B., Stark, M., Thangaratinam, S., Wilson, M. J., Williamson, P. R., Ziebland, S., Mcmanus, R. J., Abalos, E. J., Adamson, C. C. D., Akadri, A. A., Akturk, Z., Allegaert, K., Angel-Muller, E., Antretter, J., Ashdown, H. F., Audibert, F., Auger, N., Aygun, C., Babic, I., Bagga, R., Baker, J. M., Beebeejaun, Y., Bhakta, P., Bhandari, V., Bhattacharya, S., Blanker, M. H., Bloomfield, F. H., Bof, A., Brennan, S. M., Broekhuijsen, K., Broughton Pipkin, F., Browne, J. L., Browning, R. M., Bull, J. W., Butt, A., Button, D., Campbell, J. P., Campbell, D. M., Carbillon, L., Carthy, S., Casely, E., Cave, J. A., Cecatti, J. G., Chamillard, M. E., Chassard, D., Checheir, N. C., Chulkov, V. S., Cluver, C. A., Crawford, C. F., Daly, M. C., Darmochwal-Kolarz, D. A., Davies, R. E., Davies, M. W., Dawson, J. S., Dobson, N., Dodd, C. N., Donald, F., Duley, L., Epstein-Mares, J., Erez, O., Evans, E., Farlie, R. N., Ferris, A. V., Frankland, E. M., Freeman, D. J., Gainder, S., Ganzevoort, W., Gbinigie, O. A., Gerval, M. -O., Ghosh, S. K., Gingel, L. J., Glogowska, M., Goodlife, A., Gough, K. L., Green, J. R., Gul, F., Haggerty, L., Hall, D. R., Hallman, M., Hamilton, L. M., Hammond, S. J., Harlow, S. D., Hays, K. E., Hickey, S. C., Higgins, M., Hinton, L., Hobson, S. R., Hogg, M. J., Hollands, H. J., Homer, C. S. E., Hoodbhoy, Z., Howell, P., Huppertz, B., Husain, S., Jacoby, S. D., Jacqz-Aigrain, E., Jenkins, G., Jewel, D., Johnson, M. J., Johnston, C. L., Jones, P. M., Kantrowitz-Gordon, I., Khan, R. -U., Kirby, L. J., Kirk, C., Knight, M., Korey, M. T., Lee, G. J., Lee, V. W., Levene, L. S., Londero, A. P., Lust, K. M., Mackenzie, V., Malha, L., Mattone, M., Mccartney, D. E., Mcfadden, A., Mckinstry, B. H., Middleton, P. F., Mills, D. J., Mistry, H. D., Mitchell, C. A., Mockler, J. C., Molsher, S. -A., Monast, E. S., Moodley, J., Mooij, R., Moore, E. L., Morgan, L., Moulson, A., Mughal, F., Mundle, S. R., Munoz, M. A., Murray, E., Nagata, C., Nair, A. S., Nakimuli, A., Nath, G., Newport, R. S., Oakeshott, P., Ochoa-Ferraro, M. R., Odendaal, H., Ohkuchi, A., Oliveira, L., Ortiz-Panozo, E., Oudijk, M. A., Oygucu, S. E., Paech, M. J., Painter, R. C., Parry, C. L., Payne, B. A., Pearson, E. L., Phupong, V., Pickett, N., Pickles, K. A., Plumb, L. K., Prefumo, F., Preston, R., Ray, J. G., Rayment, J., Regan, L. V., Rey, E., Robson, E. J., Rubin, A. N., Rubio-Romero, J. A., Rull, K., Sass, N., Sauve, N., Savory, N. A., Scott, J. R., Seaton, S. E., Seed, P. T., Shakespeare, J. M., Shand, A. W., Sharma, S., Shaw, T. Y., Smedley, K. L., Smith, D., Smith Conk, A., Soward, D., Stepan, H., Stroumpoulis, K., Surendran, A., Takeda, S., Tan, L., Theriot, B. S., Thomas, H. F., Thompson, K., Thompson, P. I., Thompson, M. J., Toms, L., Torney, K. L. H. T., Treadwell, J. S., Tucker, K. L., Turrentine, M. A., Van Hecke, O., Van Oostwaard, M. F., Vasquez, D. N., Vaughan, D. J. A., Vinturache, A., Walker, J., Wardle, S. P., Wasim, T., Waters, J. H., Whitehead, C. L., Wolfson, A., Yeo, S., Zermansky, A. G., (iHOPE), International Collaboration to Harmonise Outcomes for Pre-eclampsia, Life Course Epidemiology (LCE), University of Oxford, University College London, King’s College London, Academic Medical Center, Imperial College London, St George Hospital and University of New South Wales, Northwestern University, Cedars-Sinai Medical Center, London North West University Healthcare NHS Trust, Monash University, University of Adelaide, Barts and The London School of Medicine and Dentistry, University of Sheffield, University of Liverpool, Centro Rosarino de Estudios Perinatales, Chelsea and Westminster Hospital NHS Foundation Trust, Babcock University, Ailem Academic Counselling, KU Leuven, Universidad Nacional de Colombia, Northwell Health, Université de Montréal, University of Montreal Hospital Centre, Ondokuz Mayıs University, Prince Sultan Military Medical City, Postgraduate Institute of Medical Education and Research, Fetal Medicine Research Institute, University Hospital Limerick, Drexel University, University of Aberdeen, University of Groningen, University of Auckland, Haaglanden Medisch Centrum, Nottingham University Medical School, Utrecht University, King Edward Memorial Hospital for Women, Imperial College Healthcare NHS Trust, Jean-Verdier Hospital, Downland Practice, Universidade Estadual de Campinas (UNICAMP), Université Lyon, University of North Carolina School of Medicine, South Ural State Medical University, Stellenbosch University, Irish Neonatal Health Alliance, University of Rzeszow, Royal Brisbane and Women’s Hospital, Nottingham University Hospitals NHS Trust, University Hospitals of Leicester, North Bristol NHS Trust, University of Nottingham, Soroka University Medical Center Ben Gurion University of the Negev, St George’s University Hospitals NHS Foundation Trust, Hospitalsenhed Midt, University of Glasgow, Amsterdam Universitair Medische Centra, All India Institute of Medical Sciences Patna, Luton and Dunstable University Hospital, Khyber Medical University Institution of Medical Sciences, Midwife Mid Essex Hospitals NHS Trust, University of Oulu, University of Michigan, Bastyr University, Irish Nurses and Midwives Organisation, University of Toronto, Barts Health NHS Trust, University Hospitals Plymouth NHS Trust, Burnet Institute, Aga Khan University, Medical University of Graz, Homerton University Hospital NHS Foundation Trust, Mount Royal University, Université de Paris, Royal Surrey County Hospital, University Hospital Southampton NHS Foundation Trust, University of Washington School of Nursing, Evelina London Children's Hospital Neonatal Unit, University of Sydney, University of Leicester, Academic Hospital of Udine, NHS Borders, Weill Cornell Medical College, University of Dundee, University of Edinburgh, South Australian Health and Medical Research Institute, Monash University and Monash Health, United Lincolnshire Hospitals NHS Trust, University of Kwa Zulu-Natal, Beatrix Hospital, Keele University, Government Medical College, Institut Catala de la Salut. IdiapJgol, National Center for Child Health and Development, Basavatarakam Indo-American Cancer Hospital and Research Institute, Axon Anaesthesia Associates, Pennine Acute Hospitals NHS Trust, University of London, Norfolk and Norwich University Hospital, Jichi Medical University School of Medicine, Universidade Estadual Paulista (UNESP), National Institute of Public Health, University of Kyrenia, King Edward Memorial Hospital, Amsterdam University Centres, University of British Columbia, Chulalongkorn University, University of Brescia, University Of British Columbia, University of Montreal, Women's Clinic of Tartu University Hospital, Universidade Federal de São Paulo (UNIFESP), Université de Sherbrooke, University Hospital of Wales, University of Iowa, King's College London, Westmead Hospital, Princess Royal Maternity, Leipzig University, Centre Hospitalier Public du Cotentin, Lewisham and Greenwich NHS Trust, Juntendo University Faculty of Medicine, Western Sydney University, National Institute of Health Research, University of Washington, Baylor College of Medicine, Capelle aan den Ijssel, Sanatorio Anchorena, Oxford University Hospitals NHS Foundation Trust, University of Leeds, Institute of Medical Sciences, UPMC Magee Womens Hospital, Penn Medicine Princeton Health, University of North Carolina at Chapel Hill, and Obstetrics and Gynaecology

Subjects
Adult, medicine.medical_specialty, Consensus, Delphi Technique, Standardization, Birth weight, Psychological intervention, Randomised controlled trials, 030204 cardiovascular system & hematology, Outcome (game theory), 03 medical and health sciences, Hypertension in pregnancy, Outcome measure, 0302 clinical medicine, Pre-Eclampsia, Pregnancy, Consensus development study, Internal Medicine, medicine, Humans, Set (psychology), 030219 obstetrics & reproductive medicine, Eclampsia, business.industry, Pregnancy Outcome, Obstetrics and Gynecology, Core outcome set, Reference Standards, medicine.disease, Pre-eclampsia, Pregnancy Complications, Core (game theory), Treatment Outcome, Systematic review, Family medicine, 1114 Paediatrics and Reproductive Medicine, Female, International Collaboration to Harmonise Outcomes for Pre-eclampsia (iHOPE), business
Abstract

Made available in DSpace on 2022-04-28T19:29:02Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-07-01 Medical Research Council Canada National Institute for Health Research Objectives: To develop consensus definitions for the core outcome set for pre-eclampsia. Study design: Potential definitions for individual core outcomes were identified across four formal definition development initiatives, nine national and international guidelines, 12 Cochrane systematic reviews, and 79 randomised trials. Eighty-six definitions were entered into the consensus development meeting. Ten healthcare professionals and three researchers, including six participants who had experience of conducting research in low- and middle-income countries, participated in the consensus development process. The final core outcome set was approved by an international steering group. Results: Consensus definitions were developed for all core outcomes. When considering stroke, pulmonary oedema, acute kidney injury, raised liver enzymes, low platelets, birth weight, and neonatal seizures, consensus definitions were developed specifically for low- and middle-income countries because of the limited availability of diagnostic interventions including computerised tomography, chest x-ray, laboratory tests, equipment, and electroencephalogram monitoring. Conclusions: Consensus on measurements for the pre-eclampsia core outcome set will help to ensure consistency across future randomised trials and systematic reviews. Such standardization should make research evidence more accessible and facilitate the translation of research into clinical practice. Video abstract can be available at: www.dropbox.com/s/ftrgvrfu0u9glqd/6.%20Standardising%20definitions%20in%20teh%20pre-eclampsia%20core%20outcome%20set%3A%20a%20consensus%20development%20study.mp4?dl=0. Nuffield Department of Primary Care Health Sciences University of Oxford Institute for Women’s Health University College London Department of Women and Children’s Health School of Life Course Sciences King’s College London Department of Obstetrics and Gynecology Amsterdam UMC Academic Medical Center Academic Neonatal Medicine Imperial College London Department of Renal Medicine St George Hospital and University of New South Wales Department of Obstetrics and Gynaecology Feinberg School of Medicine Northwestern University Health Services Research Unit Nuffield Department of Population Health University of Oxford Cedars-Sinai Medical Center London North West University Healthcare NHS Trust Women’s Health Care Research Group Department of Obstetrics and Gynaecology Monash University Department of Obstetrics and Gynaecology University of Adelaide Women’s Health Research Unit Barts and The London School of Medicine and Dentistry School of Health and Related Research University of Sheffield MRC North West Hub for Trials Methodology Research Department of Biostatistics University of Liverpool Centro Rosarino de Estudios Perinatales Chelsea and Westminster Hospital NHS Foundation Trust Babcock University Ailem Academic Counselling KU Leuven Universidad Nacional de Colombia Northwell Health University of Oxford Université de Montréal University of Montreal Hospital Centre Ondokuz Mayıs University Prince Sultan Military Medical City Postgraduate Institute of Medical Education and Research King's Fertility Fetal Medicine Research Institute University Hospital Limerick Drexel University University of Aberdeen University of Groningen University of Auckland Haaglanden Medisch Centrum Nottingham University Medical School Utrecht University King Edward Memorial Hospital for Women Imperial College Healthcare NHS Trust Jean-Verdier Hospital Downland Practice University of Campinas Université Lyon University of North Carolina School of Medicine South Ural State Medical University Stellenbosch University Irish Neonatal Health Alliance University of Rzeszow Royal Brisbane and Women’s Hospital Nottingham University Hospitals NHS Trust University Hospitals of Leicester North Bristol NHS Trust University of Nottingham Soroka University Medical Center Ben Gurion University of the Negev St George’s University Hospitals NHS Foundation Trust Hospitalsenhed Midt University of Glasgow Amsterdam Universitair Medische Centra All India Institute of Medical Sciences Patna Luton and Dunstable University Hospital Khyber Medical University Institution of Medical Sciences Midwife Mid Essex Hospitals NHS Trust University of Oulu University of Michigan Bastyr University Irish Nurses and Midwives Organisation University of Toronto Barts Health NHS Trust University Hospitals Plymouth NHS Trust Burnet Institute Aga Khan University Medical University of Graz Homerton University Hospital NHS Foundation Trust Mount Royal University Université de Paris Royal Surrey County Hospital University Hospital Southampton NHS Foundation Trust University of Washington School of Nursing Evelina London Children's Hospital Neonatal Unit University of Sydney University of Leicester Academic Hospital of Udine NHS Borders Weill Cornell Medical College University of Dundee University of Edinburgh South Australian Health and Medical Research Institute University of Sheffield Monash University and Monash Health United Lincolnshire Hospitals NHS Trust University of Kwa Zulu-Natal Beatrix Hospital Keele University Government Medical College Institut Catala de la Salut. IdiapJgol University College London National Center for Child Health and Development Basavatarakam Indo-American Cancer Hospital and Research Institute Axon Anaesthesia Associates Pennine Acute Hospitals NHS Trust St George's University of London Norfolk and Norwich University Hospital Jichi Medical University School of Medicine São Paulo State University National Institute of Public Health University of Kyrenia King Edward Memorial Hospital Amsterdam University Centres University of British Columbia Chulalongkorn University University of Brescia University Of British Columbia University of Montreal Women's Clinic of Tartu University Hospital Universidade Federal de São Paulo Université de Sherbrooke University Hospital of Wales University of Iowa King's College London Westmead Hospital Princess Royal Maternity Leipzig University Centre Hospitalier Public du Cotentin Lewisham and Greenwich NHS Trust Juntendo University Faculty of Medicine Western Sydney University National Institute of Health Research University of Washington Baylor College of Medicine Capelle aan den Ijssel Sanatorio Anchorena Oxford University Hospitals NHS Foundation Trust University of Leeds Institute of Medical Sciences UPMC Magee Womens Hospital Penn Medicine Princeton Health University of North Carolina at Chapel Hill São Paulo State University

Published
2020
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9. A core outcome set for pre‐eclampsia research : an international consensus development study

Author

Duffy, JMN, Cairns, AE, Richards‐Doran, D, van 't Hooft, J, Gale, C, Brown, M, Chappell, LC, Grobman, WA, Fitzpatrick, R, Karumanchi, SA, Khalil, A, Lucas, DN, Magee, LA, Mol, BW, Stark, M, Thangaratinam, S, Wilson, MJ, von Dadelszen, P, Williamson, PR, Ziebland, S, McManus, RJ, Abalos, EJ, Adamson, CCD, Akadri, AA, Akturk, Z, Allegaert, K, Angel‐Müller, E, Antretter, J, Audibert, F, Auger, N, Aygun, C, Babic, I, Bagga, R, Baker, JM, Bhandari, V, Bhattacharya, S, Blanker, MH, Bloomfield, FH, Bof, A, Brennan, SM, Broekhuijsen, K, Fiona Broughton Pipkin, E, Browne, JL, Browning, RM, Bull, JW, Butt, A, Button, D, Campbell, JP, Campbell, DM, Carbillon, L, Carthy, S, Casely, E, Cave, JA, Cecatti, JG, Chamillard, ME, Chassard, D, Checheir, NC, Chulkov, VS, Cluver, CA, Crawford, CF, Daly, MC, Darmochwal‐Kolarz, DA, Davies, RE, Davies, MW, Dawson, JS, Dobson, N, Dodd, CN, Donald, F, Duley, L, Epstein‐Mares, J, Erez, O, Evans, E, Farlie, RN, Ferris, AV, Frankland, EM, Freeman, DJ, Gainder, S, Ganzevoort, W, Gbinigie, OA, Ghosh, SK, Glogowska, M, Goodlife, A, Gough, KL, Green, JR, Gul, F, Haggerty, L, Hall, DR, Hallman, M, Hammond, SJ, Harlow, SD, Hays, KE, Hickey, SC, Higgins, M, Hinton, L, Hobson, SR, Hogg, MJ, Hollands, HJ, Homer, CSE, Hoodbhoy, Z, Howell, P, Huppertz, B, Husain, S, Jacoby, SD, Jacqz‐Aigrain, E, Jenkins, G, Jewel, D, Johnson, MJ, Johnston, CL, Jones, PM, Kantrowitz‐Gordon, I, Khan, R, Kirby, LJ, Kirk, C, Knight, M, Korey, MT, Lee, GJ, Lee, VW, Levene, LS, Londero, AP, Lust, KM, MacKenzie, V, Malha, L, Mattone, M, McCartney, DE, McFadden, A, McKinstry, BH, Middleton, PF, Mistry, HD, Mitchell, CA, Mockler, JC, Molsher, S, Monast, ES, Moodley, J, Mooij, R, Moore, EL, Morgan, L, Moulson, A, Mughal, F, Mundle, SR, Angel Munoz, M, Murray, E, Nagata, C, Nair, AS, Nakimuli, A, Nath, G, Newport, RS, Oakeshott, P, Ochoa‐Ferraro, MR, Odendaal, H, Ohkuchi, A, Oliveira, L, Ortiz‐Panozo, E, Oudijk, MA, Oygucu, SE, Paech, MJ, Painter, RC, Parry, CL, Payne, BA, Pearson, EL, Phupong, V, Pickett, N, Pickles, KA, Plumb, LK, Prefumo, F, Preston, R, Ray, JG, Rayment, J, Regan, LV, Rey, E, Robson, EJ, Rubin, AN, Rubio‐Romero, JA, Rull, K, Sass, N, Sauvé, N, Savory, NA, Scott, JR, Seaton, SE, Seed, PT, Shakespeare, JM, Shand, AW, Sharma, S, Shaw, TY, Smedley, KL, Smith, D, Smith Conk, A, Soward, D, Stepan, H, Stroumpoulis, K, Surendran, A, Takeda, S, Tan, L, Theriot, BS, Thomas, HF, Thompson, K, Thompson, PI, Thompson, MJ, Torney, KLHT, Treadwell, JS, Tucker, KL, Turrentine, MA, Van Hecke, O, Van Oostwaard, MF, Vasquez, DN, Vaughan, DJA, VInturache, A, Walker, J, Wardle, SP, Wasim, T, Waters, JH, Whitehead, CL, Wolfson, A, Yeo, S, and Zermansky, AG

Subjects
reproductive and urinary physiology
Abstract

Objective\ud To develop a core outcome set for pre‐eclampsia.\ud \ud Design\ud Consensus development study.\ud \ud Setting\ud International.\ud \ud Population\ud Two hundred and eight‐one healthcare professionals, 41 researchers and 110 patients, representing 56 countries, participated.\ud \ud Methods\ud Modified Delphi method and Modified Nominal Group Technique.\ud \ud Results\ud A long‐list of 116 potential core outcomes was developed by combining the outcomes reported in 79 pre‐eclampsia trials with those derived from thematic analysis of 30 in‐depth interviews of women with lived experience of pre‐eclampsia. Forty‐seven consensus outcomes were identified from the Delphi process following which 14 maternal and eight offspring core outcomes were agreed at the consensus development meeting. Maternal core outcomes: death, eclampsia, stroke, cortical blindness, retinal detachment, pulmonary oedema, acute kidney injury, liver haematoma or rupture, abruption, postpartum haemorrhage, raised liver enzymes, low platelets, admission to intensive care required, and intubation and ventilation. Offspring core outcomes: stillbirth, gestational age at delivery, birthweight, small‐for‐gestational‐age, neonatal mortality, seizures, admission to neonatal unit required and respiratory support.\ud \ud Conclusions\ud The core outcome set for pre‐eclampsia should underpin future randomised trials and systematic reviews. Such implementation should ensure that future research holds the necessary reach and relevance to inform clinical practice, enhance women's care and improve the outcomes of pregnant women and their babies.

Published
2020

10. A core outcome set for pre-eclampsia research: an international consensus development study.

Author

Ghosh S.K., Daly M.C., Darmochwal-Kolarz D.A., Davies R.E., Davies M.W., Dawson J.S., Dobson N., Dodd C.N., Donald F., Duley L., Epstein-Mares J., Erez O., Evans E., Farlie R.N., Ferris A.V., Frankland E.M., Freeman D.J., Gainder S., Ganzevoort W., Hamilton L.M., Hammond S.J., Harlow S.D., Hays K.E., Hickey S.C., Higgins M., Hinton L., Hobson S.R., Hogg M.J., Hollands H.J., EH C.S.E., Hoodbhoy Z., Howell P., Huppertz B., Husain S., Jacoby S.D., Jacqz-Aigrain E., Jenkins G., Jewel D., Johnson M.J., Johnston C.L., Jones P.M., Kantrowitz-Gordon I., Khan R.-U., Kirby L.J., Kirk C., Knight M., Korey M.T., Lee G.J., Lee V.W., Levene L.S., Londero A.P., Lust K.M., MacKenzie V., Malha L., Mattone M., McCartney D.E., McFadden A., McKinstry B.H., Middleton P.F., Mistry H.D., Mitchell C.A., Mockler J.C., Molsher S.-A., Monast E.S., Moodley E.J., Mooij R., Moore E.L., Morgan L., Moulson A., Mughal F., Mundle S.R., Munoz M.A., Murray E., Nagata C., Nair A.S., Nakimuli A., Nath G., Newport R.S., Oakeshott P., Ochoa-Ferraro M.R., Odendaal H., Ohkuchi A., Oliveira L., Ortiz-Panozo E., Oudijk M.A., Oygucu S.E., Paech M.J., Painter R.C., Parry C.L., Payne B.A., Pearson E.L., Phupong V., Pickett N., Pickles K.A., Plumb L.K., Prefumo F., Preston R., Ray J.G., Rayment J., Regan L.V., Rey E., Robson E.J., Rubin A.N., Rubio-Romero A.N., Rull K., Sass N., Sauve N., Savory N.A., Scott J.R., Seaton S.E., Seed P.T., Shakespeare J.M., Shand A.W., Sharma S., Shaw T.Y., Smedley K.L., Smith D., Conk A.S., Soward D., Stepan H., Stroumpoulis K., SurenDr A., Takeda S., Tan L., Theriot B.S., Thomas H.F., Thompson K., Thompson P.I., Thompson M.J., Toms L., Torney K.L.H.T., Treadwell J.S., Tucker K.L., Turrentine M.A., Van Hecke O., Van Oostwaard M.F., Vasquez D.N., AV D.J.A., VInturache A., Walker J., Wardle S.P., Wasim T., Waters J.H., Whitehead C.L., Wolfson A., Yeo S., Duffy J.M.N., Cairns A.E., Richards-Doran D., van 't Hooft J., Gale C., Brown M., Chappell L.C., Grobman W.A., Fitzpatrick R., Karumanchi S.A., Khalil A., Lucas D.N., Magee L.A., Mol B.W., Stark M., Thangaratinam S., Wilson M.J., von Dadelszen P., Williamson P.R., Ziebland S., McManus R.J., Abalos E.J., DA C.C.D., AkaDr A.A., Akturk Z., Allegaert K., Angel-Muller E., Antretter J., Ashdown H.F., Audibert F., Auger N., Aygun C., Babic I., Bagga R., Baker J.M., Bhakta P., Bhandari V., Bhattacharya S., Blanker M.H., Bloomfield F.H., Bof A., Brennan S.M., Broekhuijsen K., Pipkin E.F.B., Browne J.L., Browning R.M., Bull J.W., Butt A., Button D., Campbell J.P., Campbell D.M., Carbillon L., Carthy S., Casely E., Cave J.A., Cecatti J.G., Chamillard M.E., Chassard D., Checheir N.C., Chulkov V.S., Cluver C.A., Crawford C.F., Gbinigie O.A., Glogowska M., Goodlife A., Gough K.L., Green J.R., Gul F., Haggerty L., Hall D.R., Hallman M., Ghosh S.K., Daly M.C., Darmochwal-Kolarz D.A., Davies R.E., Davies M.W., Dawson J.S., Dobson N., Dodd C.N., Donald F., Duley L., Epstein-Mares J., Erez O., Evans E., Farlie R.N., Ferris A.V., Frankland E.M., Freeman D.J., Gainder S., Ganzevoort W., Hamilton L.M., Hammond S.J., Harlow S.D., Hays K.E., Hickey S.C., Higgins M., Hinton L., Hobson S.R., Hogg M.J., Hollands H.J., EH C.S.E., Hoodbhoy Z., Howell P., Huppertz B., Husain S., Jacoby S.D., Jacqz-Aigrain E., Jenkins G., Jewel D., Johnson M.J., Johnston C.L., Jones P.M., Kantrowitz-Gordon I., Khan R.-U., Kirby L.J., Kirk C., Knight M., Korey M.T., Lee G.J., Lee V.W., Levene L.S., Londero A.P., Lust K.M., MacKenzie V., Malha L., Mattone M., McCartney D.E., McFadden A., McKinstry B.H., Middleton P.F., Mistry H.D., Mitchell C.A., Mockler J.C., Molsher S.-A., Monast E.S., Moodley E.J., Mooij R., Moore E.L., Morgan L., Moulson A., Mughal F., Mundle S.R., Munoz M.A., Murray E., Nagata C., Nair A.S., Nakimuli A., Nath G., Newport R.S., Oakeshott P., Ochoa-Ferraro M.R., Odendaal H., Ohkuchi A., Oliveira L., Ortiz-Panozo E., Oudijk M.A., Oygucu S.E., Paech M.J., Painter R.C., Parry C.L., Payne B.A., Pearson E.L., Phupong V., Pickett N., Pickles K.A., Plumb L.K., Prefumo F., Preston R., Ray J.G., Rayment J., Regan L.V., Rey E., Robson E.J., Rubin A.N., Rubio-Romero A.N., Rull K., Sass N., Sauve N., Savory N.A., Scott J.R., Seaton S.E., Seed P.T., Shakespeare J.M., Shand A.W., Sharma S., Shaw T.Y., Smedley K.L., Smith D., Conk A.S., Soward D., Stepan H., Stroumpoulis K., SurenDr A., Takeda S., Tan L., Theriot B.S., Thomas H.F., Thompson K., Thompson P.I., Thompson M.J., Toms L., Torney K.L.H.T., Treadwell J.S., Tucker K.L., Turrentine M.A., Van Hecke O., Van Oostwaard M.F., Vasquez D.N., AV D.J.A., VInturache A., Walker J., Wardle S.P., Wasim T., Waters J.H., Whitehead C.L., Wolfson A., Yeo S., Duffy J.M.N., Cairns A.E., Richards-Doran D., van 't Hooft J., Gale C., Brown M., Chappell L.C., Grobman W.A., Fitzpatrick R., Karumanchi S.A., Khalil A., Lucas D.N., Magee L.A., Mol B.W., Stark M., Thangaratinam S., Wilson M.J., von Dadelszen P., Williamson P.R., Ziebland S., McManus R.J., Abalos E.J., DA C.C.D., AkaDr A.A., Akturk Z., Allegaert K., Angel-Muller E., Antretter J., Ashdown H.F., Audibert F., Auger N., Aygun C., Babic I., Bagga R., Baker J.M., Bhakta P., Bhandari V., Bhattacharya S., Blanker M.H., Bloomfield F.H., Bof A., Brennan S.M., Broekhuijsen K., Pipkin E.F.B., Browne J.L., Browning R.M., Bull J.W., Butt A., Button D., Campbell J.P., Campbell D.M., Carbillon L., Carthy S., Casely E., Cave J.A., Cecatti J.G., Chamillard M.E., Chassard D., Checheir N.C., Chulkov V.S., Cluver C.A., Crawford C.F., Gbinigie O.A., Glogowska M., Goodlife A., Gough K.L., Green J.R., Gul F., Haggerty L., Hall D.R., and Hallman M.

Abstract

Objective: To develop a core outcome set for pre-eclampsia. Design(s): Consensus development study. Setting(s): International. Population: Two hundred and eight-one healthcare professionals, 41 researchers and 110 patients, representing 56 countries, participated. Method(s): Modified Delphi method and Modified Nominal Group Technique. Result(s): A long-list of 116 potential core outcomes was developed by combining the outcomes reported in 79 pre-eclampsia trials with those derived from thematic analysis of 30 in-depth interviews of women with lived experience of pre-eclampsia. Forty-seven consensus outcomes were identified from the Delphi process following which 14 maternal and eight offspring core outcomes were agreed at the consensus development meeting. Maternal core outcomes: death, eclampsia, stroke, cortical blindness, retinal detachment, pulmonary oedema, acute kidney injury, liver haematoma or rupture, abruption, postpartum haemorrhage, raised liver enzymes, low platelets, admission to intensive care required, and intubation and ventilation. Offspring core outcomes: stillbirth, gestational age at delivery, birthweight, small-for-gestational-age, neonatal mortality, seizures, admission to neonatal unit required and respiratory support. Conclusion(s): The core outcome set for pre-eclampsia should underpin future randomised trials and systematic reviews. Such implementation should ensure that future research holds the necessary reach and relevance to inform clinical practice, enhance women's care and improve the outcomes of pregnant women and their babies. Tweetable abstract: 281 healthcare professionals, 41 researchers and 110 women have developed #preeclampsia core outcomes @HOPEoutcomes @jamesmnduffy. [Correction added on 29 June 2020, after first online publication: the order has been corrected.].Copyright © 2020 The Authors. BJOG: An International Journal of Obstetrics and Gynaecology published by John Wiley & Sons Ltd on behalf of Royal College of Obstetr

Published
2021

14. Standardising definitions for the pre-eclampsia core outcome set: A consensus development study.

Author

Donald F., Morgan L., Moulson A., Mughal F., Mundle S.R., Munoz M.A., Murray E., Nagata C., Nair A.S., Nakimuli A., Nath G., Newport R.S., Oakeshott P., Ochoa-Ferraro M.R., Odendaal H., Ohkuchi A., Oliveira L., Ortiz-Panozo E., Oudijk M.A., Oygucu S.E., Paech M.J., Painter R.C., Parry C.L., Payne B.A., Pearson E.L., Phupong V., Pickett N., Pickles K.A., Plumb L.K., Prefumo F., Preston R., Ray J.G., Rayment J., Regan L.V., Rey E., Robson E.J., Rubin A.N., Rubio-Romero J.A., Rull K., Sass N., Sauve N., Savory N.A., Scott J.R., Seaton S.E., Seed P.T., Shakespeare J.M., Shand A.W., Sharma S., Shaw T.Y., Smedley K.L., Smith D., Smith Conk A., Soward D., Stepan H., Stroumpoulis K., Surendran A., Takeda S., Tan L., Theriot B.S., Thomas H.F., Thompson K., Thompson P.I., Thompson M.J., Toms L., Torney K.L.H.T., Treadwell J.S., Tucker K.L., Turrentine M.A., Van Hecke O., Van Oostwaard M.F., Vasquez D.N., Vaughan D.J.A., Vinturache A., Walker J., Wardle S.P., Wasim T., Waters J.H., Whitehead C.L., Wolfson A., Yeo S., Zermansky A.G., Mol B., Duffy J.M.N., Cairns A.E., Magee L.A., von Dadelszen P., van 't Hooft J., Gale C., Brown M., Chappell L.C., Grobman W.A., Fitzpatrick R., Karumanchi S.A., Lucas D.N., Stark M., Thangaratinam S., Wilson M.J., Williamson P.R., Ziebland S., McManus R.J., Abalos E.J., Adamson C.C.D., Akadri A.A., Akturk Z., Allegaert K., Angel-Muller E., Antretter J., Ashdown H.F., Audibert F., Auger N., Aygun C., Babic I., Bagga R., Baker J.M., Beebeejaun Y., Bhakta P., Bhandari V., Bhattacharya S., Blanker M.H., Bloomfield F.H., Bof A., Brennan S.M., Broekhuijsen K., Broughton Pipkin F., Browne J.L., Browning R.M., Bull J.W., Butt A., Button D., Campbell J.P., Campbell D.M., Carbillon L., Carthy S., Casely E., Cave J.A., Cecatti J.G., Chamillard M.E., Chassard D., Checheir N.C., Chulkov V.S., Cluver C.A., Crawford C.F., Daly M.C., Darmochwal-Kolarz D.A., Davies R.E., Davies M.W., Dawson J.S., Dobson N., Dodd C.N., Duley L., Epstein-Mares J., Erez O., Evans E., Farlie R.N., Ferris A.V., Frankland E.M., Freeman D.J., Gainder S., Ganzevoort W., Gbinigie O.A., Gerval M.-O., Ghosh S.K., Gingel L.J., Glogowska M., Goodlife A., Gough K.L., Green J.R., Gul F., Haggerty L., Hall D.R., Hallman M., Hamilton L.M., Hammond S.J., Harlow S.D., Hays K.E., Hickey S.C., Higgins M., Hinton L., Hobson S.R., Hogg M.J., Hollands H.J., Homer C.S.E., Hoodbhoy Z., Howell P., Huppertz B., Husain S., Jacoby S.D., Jacqz-Aigrain E., Jenkins G., Jewel D., Johnson M.J., Johnston C.L., Jones P.M., Kantrowitz-Gordon I., Khan R.-U., Kirby L.J., Kirk C., Knight M., Korey M.T., Lee G.J., Lee V.W., Levene L.S., Londero A.P., Lust K.M., MacKenzie V., Malha L., Mattone M., McCartney D.E., McFadden A., McKinstry B.H., Middleton P.F., Mills D.J., Mistry H.D., Mitchell C.A., Mockler J.C., Molsher S.-A., Monast E.S., Moodley J., Mooij R., Moore E.L., Donald F., Morgan L., Moulson A., Mughal F., Mundle S.R., Munoz M.A., Murray E., Nagata C., Nair A.S., Nakimuli A., Nath G., Newport R.S., Oakeshott P., Ochoa-Ferraro M.R., Odendaal H., Ohkuchi A., Oliveira L., Ortiz-Panozo E., Oudijk M.A., Oygucu S.E., Paech M.J., Painter R.C., Parry C.L., Payne B.A., Pearson E.L., Phupong V., Pickett N., Pickles K.A., Plumb L.K., Prefumo F., Preston R., Ray J.G., Rayment J., Regan L.V., Rey E., Robson E.J., Rubin A.N., Rubio-Romero J.A., Rull K., Sass N., Sauve N., Savory N.A., Scott J.R., Seaton S.E., Seed P.T., Shakespeare J.M., Shand A.W., Sharma S., Shaw T.Y., Smedley K.L., Smith D., Smith Conk A., Soward D., Stepan H., Stroumpoulis K., Surendran A., Takeda S., Tan L., Theriot B.S., Thomas H.F., Thompson K., Thompson P.I., Thompson M.J., Toms L., Torney K.L.H.T., Treadwell J.S., Tucker K.L., Turrentine M.A., Van Hecke O., Van Oostwaard M.F., Vasquez D.N., Vaughan D.J.A., Vinturache A., Walker J., Wardle S.P., Wasim T., Waters J.H., Whitehead C.L., Wolfson A., Yeo S., Zermansky A.G., Mol B., Duffy J.M.N., Cairns A.E., Magee L.A., von Dadelszen P., van 't Hooft J., Gale C., Brown M., Chappell L.C., Grobman W.A., Fitzpatrick R., Karumanchi S.A., Lucas D.N., Stark M., Thangaratinam S., Wilson M.J., Williamson P.R., Ziebland S., McManus R.J., Abalos E.J., Adamson C.C.D., Akadri A.A., Akturk Z., Allegaert K., Angel-Muller E., Antretter J., Ashdown H.F., Audibert F., Auger N., Aygun C., Babic I., Bagga R., Baker J.M., Beebeejaun Y., Bhakta P., Bhandari V., Bhattacharya S., Blanker M.H., Bloomfield F.H., Bof A., Brennan S.M., Broekhuijsen K., Broughton Pipkin F., Browne J.L., Browning R.M., Bull J.W., Butt A., Button D., Campbell J.P., Campbell D.M., Carbillon L., Carthy S., Casely E., Cave J.A., Cecatti J.G., Chamillard M.E., Chassard D., Checheir N.C., Chulkov V.S., Cluver C.A., Crawford C.F., Daly M.C., Darmochwal-Kolarz D.A., Davies R.E., Davies M.W., Dawson J.S., Dobson N., Dodd C.N., Duley L., Epstein-Mares J., Erez O., Evans E., Farlie R.N., Ferris A.V., Frankland E.M., Freeman D.J., Gainder S., Ganzevoort W., Gbinigie O.A., Gerval M.-O., Ghosh S.K., Gingel L.J., Glogowska M., Goodlife A., Gough K.L., Green J.R., Gul F., Haggerty L., Hall D.R., Hallman M., Hamilton L.M., Hammond S.J., Harlow S.D., Hays K.E., Hickey S.C., Higgins M., Hinton L., Hobson S.R., Hogg M.J., Hollands H.J., Homer C.S.E., Hoodbhoy Z., Howell P., Huppertz B., Husain S., Jacoby S.D., Jacqz-Aigrain E., Jenkins G., Jewel D., Johnson M.J., Johnston C.L., Jones P.M., Kantrowitz-Gordon I., Khan R.-U., Kirby L.J., Kirk C., Knight M., Korey M.T., Lee G.J., Lee V.W., Levene L.S., Londero A.P., Lust K.M., MacKenzie V., Malha L., Mattone M., McCartney D.E., McFadden A., McKinstry B.H., Middleton P.F., Mills D.J., Mistry H.D., Mitchell C.A., Mockler J.C., Molsher S.-A., Monast E.S., Moodley J., Mooij R., and Moore E.L.

Abstract

Objectives: To develop consensus definitions for the core outcome set for pre-eclampsia. Study design: Potential definitions for individual core outcomes were identified across four formal definition development initiatives, nine national and international guidelines, 12 Cochrane systematic reviews, and 79 randomised trials. Eighty-six definitions were entered into the consensus development meeting. Ten healthcare professionals and three researchers, including six participants who had experience of conducting research in low- and middle-income countries, participated in the consensus development process. The final core outcome set was approved by an international steering group. Result(s): Consensus definitions were developed for all core outcomes. When considering stroke, pulmonary oedema, acute kidney injury, raised liver enzymes, low platelets, birth weight, and neonatal seizures, consensus definitions were developed specifically for low- and middle-income countries because of the limited availability of diagnostic interventions including computerised tomography, chest x-ray, laboratory tests, equipment, and electroencephalogram monitoring. Conclusion(s): Consensus on measurements for the pre-eclampsia core outcome set will help to ensure consistency across future randomised trials and systematic reviews. Such standardization should make research evidence more accessible and facilitate the translation of research into clinical practice. Video abstract can be available at: www.dropbox.com/s/ftrgvrfu0u9glqd/6.%20Standardising%20definitions%20in%20teh%20pre-eclampsia%20core%20outcome%20set%3A%20a%20consensus%20development%20study.mp4?dl=0.Copyright © 2020 International Society for the Study of Hypertension in Pregnancy

Published
2020

16. Transient crustal deformation from karst aquifers hydrology in the Apennines (Italy)

Author

Silverii, F, Silverii, F, D'Agostino, N, Borsa, AA, Calcaterra, S, Gambino, P, Giuliani, R, Mattone, M, Silverii, F, Silverii, F, D'Agostino, N, Borsa, AA, Calcaterra, S, Gambino, P, Giuliani, R, and Mattone, M

Abstract

The increasing accuracy and spatiotemporal resolution of space geodetic techniques have positively impacted the study of shallow crustal deformation in response to the redistribution of water masses. Measurable deformations have been documented in areas where snow and water variability is large and persists over sufficiently long periods. Here we analyze GPS time series and hydrological data from the Central-Southern Apennines, a tectonically-active region hosting large karst aquifers. We document the occurrence of regional-scale horizontal and vertical transient deformation that is clearly correlated to seasonal and multiyear hydrological variability. These transient signals, which are most strongly observed at GPS sites surrounding the main karst aquifers, modulate long term tectonic deformation. Our results suggest that the karst aquifers in this region experience alternating periods of expansion and contraction in response to increasing/decreasing precipitation and, consequently, higher/lower hydraulic head in the aquifers. Thanks to the availability of a dense continuous GPS network and complementary hydrological datasets, we are able to verify the processes causing the observed deformation. We model the shallow crust in the region as a continuous anelastic solid and use Green's functions for finite strain cuboid sources to estimate the strain rate distribution associated with the GPS observations. We use the Mw 6.1 L'Aquila earthquake, which struck the Central Apennines in 2009 and whose effects are evident in geodetic data, to document the potential effects of moderate earthquakes on karst aquifers and to demonstrate the importance of correctly discerning tectonic from nontectonic signals in geodetic time series. Enhanced understanding of the karst aquifers behavior is of primary interest for improved management of this vital water resource and for a better understanding of the possible interactions between groundwater content and pore pressure variations in

Published
2019

19. New insights into fault activation and stress transfer between en echelon thrusts: The 2012 Emilia, Northern Italy, earthquake sequence

Author

Chelonil, D., Giuliani, R., D'Agostino, N., Mattone, M., Bonano, M., Fornaro, G., Lanari, R., Reale, D., and Atzori, S.

Subjects
the 2012 Emilia seismic sequence, en echelon thrusts, dislocation modeling, stress transfer, aseismic pulse
Abstract

Here we present the results of the inversion of a new geodetic data set covering the 2012 Emilia seismic sequence and the following 1 year of postseismic deformation. Modeling of the geodetic data together with the use of a catalog of 3-D relocated aftershocks allows us to constrain the rupture geometries and the coseismic and postseismic slip distributions for the two main events (M-w 6.1 and 6.0) of the sequence and to explore how these thrust events have interacted with each other. Dislocation modeling reveals that the first event ruptured a slip patch located in the center of the Middle Ferrara thrust with up to 1 m of reverse slip. The modeling of the second event, located about 15 km to the southwest, indicates a main patch with up to 60 cm of slip initiated in the deeper and flatter portion of the Mirandola thrust and progressively propagated postseismically toward the top section of the rupture plane, where most of the aftershocks and afterslip occurred. Our results also indicate that between the two main events, a third thrust segment was activated releasing a pulse of aseismic slip equivalent to a M-w 5.8 event. Coulomb stress changes suggest that the aseismic event was likely triggered by the preceding main shock and that the aseismic slip event probably brought the second fault closer to failure. Our findings show significant correlations between static stress changes and seismicity and suggest that stress interaction between earthquakes plays a significant role among continental en echelon thrusts.

Published
2016
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20. The 2012 Emilia earthquake sequence (Northern Italy): evidence for fault activation and stress transfer between en echelon thrusts from a new geodetic dataset

Author

Cheloni D. (1), Giuliani R. (2), D'Agostino N. (1), Mattone M.(2), Bonano M. (3), Fornaro G. (3), Lanari R. (3), Reale D. (3), and Atzori S. (1)

Subjects
fault activation, DInSAR, Emilia earthquake
Abstract

We show the results of the inversion of a new geodetic dataset, involving both remote sensing and ground-based data: high precision levelling data, GPS observations and Differential Synthetic Aperture Radar Interferometry (DInSAR) products covering the 2012 Emilia seismic sequence and the following one year of post-seismic deformation. As far as DInSAR analysis, we used data acquired by the RADARSAT-2 (RSAT2) satellite from the Canadian Space Agency and by the COSMO-SkyMed (CSK) constellation developed by the Italian Space Agency in cooperation with the Ministry of Defense. For what attains the RSAT2 mission, we considered a single interferometric pair only, involving the 30 April and 17 June 2012 stripmap acquisitions, aimed at measuring the cumulative coseismic ground displacement due to the two mainshocks (20 and 29 May 2012). As for the CSK mission, a dataset of 12 stripmap images covering a time interval of almost one year, from 27 May 2012 to 7 May 2013, allowed measuring the coseismic displacement field relevant to the 29 May mainshock as well as one year of post-seismic deformation. To retrieve the CSK deformation time series relevant to the post-seismic sequence, we applied the Small BAseline Subset (SBAS) algorithm [Berardino et al., 2002], specifically the one in Fornaro et al. [2009]. By use of the geodetic dataset together with a catalog of relocated aftershocks, we modeled rupture geometries, and the coseismic and post-seismic slip distributions for the two main events (MW 6.1 and 6.0) of the sequence, allowing us to suggest the influence of structure and/or lithology on slip propagation in intracontinental settings. Moreover, we explored how these thrust events have interacted with each other and, defining the Coulomb stress changes, how first mainshock triggered following activity. Our results also indicate that between the two main events, a third thrust segment was activated by first mainshock, releasing a pulse of aseismic slip equivalent to a MW 5.8 event. We also hypothesized that the aseismic slip event probably brought the second fault closer to failure. Generally, we found that among continental en echelon thrusts, stress transfer and interaction between earthquakes and aseismic slip may play an important role in the way they activate during a seismic sequence. References Berardino, P., Fornaro, G., Lanari, R. and Sansosti, E (2002). A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms, IEEE Trans. Geosci. Remote Sens., 40, 2375-2383 Fornaro, G., Pauciullo, A. and Serafino, F. (2009). Deformation monitoring over large areas with multipass differential SAR interferometry: a new approach based on the use of spatial differences, Int. J. Remote Sens., 30, 1455-1478.

Published
2016

22. Geodetic model of the 2016 Central Italy earthquake sequence inferred from InSAR and GPS data

Author

Cheloni, D., primary, De Novellis, V., additional, Albano, M., additional, Antonioli, A., additional, Anzidei, M., additional, Atzori, S., additional, Avallone, A., additional, Bignami, C., additional, Bonano, M., additional, Calcaterra, S., additional, Castaldo, R., additional, Casu, F., additional, Cecere, G., additional, De Luca, C., additional, Devoti, R., additional, Di Bucci, D., additional, Esposito, A., additional, Galvani, A., additional, Gambino, P., additional, Giuliani, R., additional, Lanari, R., additional, Manunta, M., additional, Manzo, M., additional, Mattone, M., additional, Montuori, A., additional, Pepe, A., additional, Pepe, S., additional, Pezzo, G., additional, Pietrantonio, G., additional, Polcari, M., additional, Riguzzi, F., additional, Salvi, S., additional, Sepe, V., additional, Serpelloni, E., additional, Solaro, G., additional, Stramondo, S., additional, Tizzani, P., additional, Tolomei, C., additional, Trasatti, E., additional, Valerio, E., additional, Zinno, I., additional, and Doglioni, C., additional

Published
2017
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27. Single and multiple crack localization in beam-like structures using a Gaussian process regression approach.

Author

Corrado, N., Durrande, N., Gherlone, M., Hensman, J., Mattone, M., and Surace, C.

Subjects
FRACTURE mechanics, ROTATIONAL motion, GAUSSIAN processes, FINITE element method, REGRESSION analysis
Abstract

A crack or a localized damage in a structure provokes a discontinuity in the rotation. Consequently, mode-shapes are nonsmooth at the damage position and the first derivative (strictly related to the rotation) presents a jump discontinuity. Based on this simple concept, a new approach has been developed in order to predict the location of the mode-shape derivative discontinuities, and therefore the location of damage, without the need to directly differentiate. This approach applies a Gaussian process regression to the mode-shape data, using a covariance function which allows for a nonsmooth point; this point, which indicates the crack position, can be determined by a maximum likelihood algorithm. Using a finite-element model of a cracked beam, the performance of this methodology has been analyzed for the case of single crack and multiple cracks, for increasing amounts of noise. The effects of several parameters (damage position, damage severity, number of measurement points and of considered mode-shapes) on the approach accuracy have also been investigated. Finally, the method has been verified using experimental data coming from a vibrating steel beam with a cut. Results are encouraging and indicate that further developments of the technique for nondestructive testing of beam-like structures would be highly worthwhile. [ABSTRACT FROM AUTHOR]

Published
2018
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34. A Gaussian process approach to locate cracks in plate-like structures

Author

Topping, B. H. V., Ivanyi, P., Surace, C., Hensman, J., Mattone, M., Gherlone, M., Corrado, N., Topping, B. H. V., Ivanyi, P., Surace, C., Hensman, J., Mattone, M., Gherlone, M., and Corrado, N.

Abstract

The problem of non-destructively detecting and localising cracks in plate-like structures is addressed in this paper. A new methodology, based on Gaussian process regression, has been utilised for the detection and localisation of damage in an isotropic plate. The approach has already been proposed by the authors for detecting discontinuities in the smoothness of the mode shapes functions caused by cracks in the case of beam-like structures, and is now extended to the case of two-dimensional structures. The effectiveness of this methodology has been analysed with respect to simulated data using a finite element model of a plate with a crack and increasing amounts of noise. The results are encouraging and consequently it will be worthwhile to further investigate the methodology.

Published
2014

40. TYRGEONET: Campagne e risultati del 1995

Author

Achilli, V., Ambrico, F., Anzidei, M., Bacchetti, M., Baldi, P., Balestri, P., Banni, A., Biagi, L., Bonini, C., Capone, G., Carniel, F., Casula, G., Crespi, M., Del Mese, S., Ercolani, E., Fotiou, A., Gandolfi, S., Giovani, L., Guidi, C., Marsan, P., Marchesini, C., Massucci, A., Mattone, M., Mora, P., Obbrizzo, F., Palma, F., Poga, K., Poggi, M., Riguzzi, F., Salemi, G., Stoppini, Aurelio, Surace, L., Tertulliani, L., Unguendoli, M., Vecchi, M., Vespe, F., and Zanutta, A.

Subjects
GPS, reti geodetiche, deformazioni crostali
Published
1995

43. Misure GPS per lo studio delle deformazioni della crosta nell'area Mediterranea

Author

Achilli, Vladimiro, Ambrico, F., Anzidei, M., Artese, G., Baccheschi, S., Bacchetti, M., Baldi, P., Balestri, L., Banni, A., Baratin, L., Biagi, L., Bonci, L., Bonini, C., Briole, P., Capone, G., Carniel, R., Casula, G., Cesi, C., Crespi, M., Ercolani, Eulilli, V., Fotiou, A., Gandolfi, S., Giovani, L., Guidi, C., Marchesini, C., Marsan, P., Massucci, A., Mattone, M., Mora, P., Palma, F., Poggi, M., Riguzzi, F., Salemi, G., and Zanutta, A.

Published
1994

45. TYRGEONET: campagna GPS 1992

Author

Achilli, Vladimiro, Anzidei, M., Baldi, P., Artese, G., Banni, A., Belardinelli, M. E., Bonini, C., Briole, P., Campolo, F., Capone, G., Capra, A., Casula, G., Crespi, M., DI FILIPPO, S., Giovani, L., Guerra, I., Marchesini, C., Marchetti, M., Marsan, P., Mattone, M., Marsella, M., Moretti, A., Poga, K., Poggi, M., Riguzzi, F., Salemi, G., Stoppini, A., Surace, L., Tertulliani, A., Vecchi, M., Vespe, F., and Vettore, Antonio

Published
1993

46. Progetto TYRGEONET: misure effettuate nel 1993

Author

Achilli, Vladimiro, Anzidei, M., Artese, G., Baldi, P., Baccheschi, S., Bacchetti, M., Banni, A., Baratin, L., Bonini, C., Briole, P., Capone, G., Casula, G., Crespi, M., Deschamps, A., DI PONZIO, A., Ercolani, E., Gandolfi, G., Giovani, L., Guerra, I., Guidi, C., Marchesini, C., Marchetti, M., Marsan, P., Massucci, A., Mattone, M., Piccolini, L., Poggi, M., Riguzzi, F., Salemi, Giuseppe, Vecchi, M., Vespe, F., and Vettore, Antonio

Subjects
Compensazione rete, GPS
Published
1993

50. Optimum Sensor Placement for Impact Location Using Trilateration.

Author

De Stefano, M., Gherlone, M., Mattone, M., Di Sciuva, M., and Worden, K.

Subjects
STRUCTURAL health monitoring, SENSOR placement, SENSOR networks, NONDESTRUCTIVE testing, STRUCTURAL analysis (Engineering)
Abstract

A key problem associated with structural health monitoring (SHM) is the placement of sensors upon a structure to detect the existence, location, and the extent of any damage. Because input data coming from the sensors are groups of measurements, it is arguable that the most widely used approach to SHM nowadays is to consider it as a statistical pattern recognition problem. Artificial neural networks have made a great impact on pattern recognition practice. A problem associated with this monitoring strategy is to find a good compromise between the quality of information achieved by the sensor network, increasing with the sensor density, and the need to keep the minimum weight and instrumentation cost. Thus, the number of sensors must be kept under control, and a search of the optimal location of such sensors needs to be performed. All these aspects have been taken into account in the present work, dealing with the problem of optimum sensor placement for impact location on a multilayered composite structure. Multilayered composite structures may suffer particularly relevant trauma when subject to low-velocity impacts, as they may produce non-visible or barely visible damage on the structure surface, while remarkable subsurface delaminations may be present. Such hidden damage, when remaining undetected, may grow to catastrophic failure. To overcome this issue, a neural network approach has been used here to predict the impact locations on a composite panel from time-dependent data recorded on a set of surface-mounted piezoelectric sensors during an experimental impact test. A genetic algorithm has been used to find the optimal sensor layout that minimised the error in predicting the impact location. A new approach, based on trilateration, is discussed and compared with the traditional one and is shown to provide the same degree of accuracy at reduced computational cost. [ABSTRACT FROM AUTHOR]

Published
2015
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