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5. Particulate matter in aerosols produced by two last generation electronic cigarettes: a comparison in a real-world environment

Author

Borgini, A., Veronese, C., De Marco, C., Boffi, R., Tittarelli, A., Bertoldi, M., Fern..ndez, E., Tigova, O., Gallus, S., Lugo, A., Gorini, G., Carreras, G., L..pez, M.J., Continente, X., Semple, S., Dobson, R., Clancy, L., Keogan, S., Tzortzi, A., Vardavas, C., Nicol..s, ... L..pez, Starchenko, P., Soriano, J.B., and Ruprecht, A.A.

Published
2024
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6. The Impact of Patient Preference on Attendance and Completion Rates at Centre-Based and mHealth Pulmonary Rehabilitation: A Non-Inferiority Pragmatic Clinical Trial

Author

Candy S, Reeve J, Dobson R, Whittaker R, Garrett J, Warren J, Calder A, Tane T, Robertson T, Rashid U, and Taylor D

Subjects
chronic respiratory disorder, mhealth, preference, pulmonary rehabilitation, telehealth, telerehabilitation, Diseases of the respiratory system, RC705-779
Abstract

Sarah Candy,1,2 Julie Reeve,2 Rosie Dobson,3,4 Robyn Whittaker,3,4 Jeffrey Garrett,1 Jim Warren,5 Amanda Calder,3 Taria Tane,3 Trina Robertson,4 Usman Rashid,2 Denise Taylor2 1Te Whatu Ora Counties Manukau Health, Auckland, New Zealand; 2Health & Rehabilitation Research Institute, Auckland University of Technology, Auckland, New Zealand; 3National Institute for Health Innovation, University of Auckland, Auckland, New Zealand; 4Te Whatu Ora Waitematā, Auckland, New Zealand; 5School of Computer Science, University of Auckland, Auckland, New ZealandCorrespondence: Sarah Candy, Department of Respiratory Medicine, Te Whatu Ora Counties Manukau, Private Bag 93311, Otahuhu, Auckland, 1640, New Zealand, Tel +64274363116, Email scandy@middlemore.co.nzPurpose: Pulmonary rehabilitation (PR) is vital in the management of chronic respiratory disorders (CRDs) although uptake, attendance and completion are poor. Differing models of delivering PR are emerging in an attempt to increase the uptake and completion of this intervention. This study aimed to evaluate participant rate of attendance and completion of PR when given a preference regarding model of delivery (centre-based and mPR). Secondary aims were to evaluate the factors affecting patient preference for model of delivery and determine whether mPR is non-inferior to centre-based PR in health outcomes.Methods: A multi-centre non-inferiority preference based clinical trial in Auckland, New Zealand. Participants with a CRD referred for PR were offered the choice of centre-based or mHealth PR (mPR). The primary outcome was completion rate of chosen intervention.Results: A total of 105 participants were recruited to the study with 67 (64%) preferring centre-based and 38 (36%) mPR. The odds of completing the PR programme were higher in the centre-based group compared to mPR (odds ratio 1.90 95% CI [0.83– 4.35]). Participants opting for mPR were significantly younger (p = 0.002) and significantly more likely to be working (p = 0.0001). Results showed that mPR was not inferior to centre-based regarding changes in symptom scores (CAT) or time spent in sedentary behaviour (SBQ). When services were forced to transition to telehealth services during COVID-19 restrictions, the attendance and completion rates were higher with telephone calls and video conferencing compared to mPR – suggesting that synchronous interpersonal interactions with clinicians may facilitate the best attendance and completion rates.Conclusion: When offered the choice of PR delivery method, the majority of participants preferred centre-based PR and this facilitated the best completion rates. mPR was the preferred choice for younger, working participants suggesting that mPR may offer a viable alternative to centre-based PR for some participants, especially younger, employed participants.Keywords: chronic respiratory disorder, mHealth, preference, pulmonary rehabilitation, telehealth, telerehabilitation

Published
2023

7. Diurnal variability of fine-particulate pollution concentrations: data from 14 low- and middle-income countries

Author

Dobson, R, Siddiqi, K, Ferdous, T, Huque, R, Lesosky, M, Balmes, J, and Semple, S

Subjects
Biomedical and Clinical Sciences, Epidemiology, Cardiovascular Medicine and Haematology, Clinical Sciences, Health Sciences, Climate-Related Exposures and Conditions, Clinical Research, 2.2 Factors relating to the physical environment, Aetiology, Sustainable Cities and Communities, Air Pollutants, Air Pollution, Air Pollution, Indoor, Bangladesh, Cities, Developing Countries, Environmental Monitoring, France, Humans, London, Paris, Particulate Matter, Cardiorespiratory Medicine and Haematology, Microbiology, Cardiovascular medicine and haematology, Clinical sciences
Abstract

BACKGROUND: Scientific understanding of indoor air pollution is predominately based on research carried out in cities in high-income countries (HICs). Less is known about how pollutant concentrations change over the course of a typical day in cities in low- and middle-income countries (LMICs).OBJECTIVE: To understand how concentrations of fine particulate matter smaller than 2.5 microns in diameter (PM2.5) change over the course of the day outdoors (across a range of countries) and indoors (using measurements from Dhaka, Bangladesh).DESIGN: Data on PM2.5 concentrations were gathered from 779 households in Dhaka as part of the MCLASS II (Muslim Communities Learning About Second-hand Smoke in Bangladesh) project, and compared to outdoor PM2.5 concentrations to determine the temporal variation in exposure to air pollution. Hourly PM2.5 data from 23 cities in 14 LMICs, as well as London (UK), Paris (France) and New York (NY, USA), were extracted from publicly available sources for comparison.RESULTS: PM2.5 in homes in Dhaka demonstrated a similar temporal pattern to outdoor measurements, with greater concentrations at night than in the afternoon. This pattern was also evident in 19 of 23 LMIC cities.CONCLUSION: PM2.5 concentrations are greater at night than during the afternoon in homes in Dhaka. Diurnal variations in PM2.5 in LMICs is substantial and greater than in London, Paris or New York. This has implications for public health community approaches to health effects of air pollution in LMICs.

Published
2021

9. Treating Vestibular Migraine When Pregnant and Postpartum: Progress, Challenges and Innovations

Author

Teelucksingh S, Murali Govind R, Dobson R, Nelson-Piercy C, and Ovadia C

Subjects
vestibular, migraine, dizziness, vertigo, pregnancy, Gynecology and obstetrics, RG1-991
Abstract

Siara Teelucksingh,1,* Renuka Murali Govind,1,* Ruth Dobson,2,3 Catherine Nelson-Piercy,1,4 Caroline Ovadia4,5 1Department of Obstetric Medicine, Guy’s and St. Thomas’ NHS Foundation Trust, London, UK; 2Preventive Neurology Unit, Queen Mary University of London, London, UK; 3Department of Neurology, Royal London Hospital, London, UK; 4Department of Women and Children’s Health, King’s College London, London, UK; 5Department of Obstetrics and Gynaecology, Guy’s and St Thomas’ NHS Foundation Trust, London, UK*These authors contributed equally to this workCorrespondence: Caroline Ovadia, Department of Women and Children’s Health, King’s College London, 10th Floor North Wing, St. Thomas’ Hospital, London, SE1 7EH, UK, Email caroline.ovadia@kcl.ac.ukAbstract: Vestibular migraine is a leading cause of vertigo in pregnancy and, although not a distinct migraine subtype, is an episodic syndrome associated with migraine. Vestibular migraine is associated with diverse symptoms such as vertigo, aura, allodynia, osmophobia, nausea, vomiting and tinnitus, many of which may be exacerbated by, masked or even dismissed in pregnancy. Vestibular migraine is likely an underdiagnosed and undertreated condition in pregnancy. The aetiology of vestibular migraine remains incompletely understood, although various theories have been proposed, including genetic predisposition, neurochemical dysregulation and pro-inflammatory mechanisms, all of which are derived from the pathophysiology of classical migraine. Physiologic changes to the endocrine, haematologic and vascular systems in pregnancy may affect pathophysiological processes in vestibular migraine, and can alter the course of symptoms experienced in pregnancy. These changes also predispose to secondary headache disorders, which may have similar presentations. There has been considerable progress in therapeutic advances in vestibular migraine prophylaxis and treatment outside of pregnancy. There is currently no significant evidence base for acute treatment or prophylaxis for pregnant patients, with treatment recommendations extrapolated from studies on classical migraine, and offered on a benefit versus risk basis. Challenges commonly encountered include difficulty establishing a diagnosis, in addition to recognising and treating neuropsychiatric and gestational co-morbidities. Anxiety, depression, hypertensive disorders and cardiovascular disease are closely associated with migraine, and important contributors to morbidity and mortality during pregnancy. Identifying and treating vestibular migraine during pregnancy offers a unique opportunity to impact future patient health through screening and early treatment of associated co-morbidities. There have been innovations in classical migraine therapy that may confer benefit in vestibular migraine in pregnancy, with emphasis on lifestyle modification, effective prophylaxis, abortive therapies, cognitive behaviour therapy and management of vestibular migraine-related comorbidities.Keywords: vestibular, migraine, dizziness, vertigo, pregnancy

Published
2023

10. Cross-sectional study of the prevalence, causes and management of hospital-onset diarrhoea

Author

Mawer, D., Byrne, F., Drake, S., Brown, C., Prescott, A., Warne, B., Bousfield, R., Skittrall, J.P., Ramsay, I., Somasunderam, D., Bevan, M., Coslett, J., Rao, J., Stanley, P., Kennedy, A., Dobson, R., Long, S., Obisanya, T., Esmailji, T., Petridou, C., Saeed, K., Brechany, K., Davis-Blue, K., O'Horan, H., Wake, B., Martin, J., Featherstone, J., Hall, C., Allen, J., Johnson, G., Hornigold, C., Amir, N., Henderson, K., McClements, C., Liew, I., Deshpande, A., Vink, E., Trigg, D., Guilfoyle, J., Scarborough, M., Scarborough, C., Wong, T.H.N., Walker, T., Fawcett, N., Morris, G., Tomlin, K., Grix, C., O'Cofaigh, E., McCaffrey, D., Cooper, M., Corbett, K., French, K., Harper, S., Hayward, C., Reid, M., Whatley, V., Winfield, J., Hoque, S., Kelly, L., King, I., Bradley, A., McCullagh, B., Hibberd, C., Merron, M., McCabe, C., Horridge, S., Taylor, J., Koo, S., Elsanousi, F., Saunders, R., Lim, F., Bond, A., Stone, S., Milligan, I.D., Mack, D.J.F., Nagar, A., West, R.M., Wilcox, M.H., Kirby, A., and Sandoe, J.A.T.

Published
2019
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15. Tracking endogenous and grafted neural progenitor cells in normal and ischaemic brains using MRI contrast agents and genetic labelling

Author

Dobson, R.

Subjects
618.92
Abstract

Cerebral ischaemia is a major cause of mortality and morbidity globally. Neural stem and progenitor cells (NPC) have the potential to contribute to brain repair and regeneration after an ischaemic event. Both endogenous and grafted NPC have been shown to migrate towards the ischaemic lesion, and differentiate into neurons. This thesis investigates methods of labeling and tracking the migration neural progenitor cells to a site of cerebral ischaemic injury, using magnetic resonance imaging (MRI) contrast agents and transgenic lineage tracing techniques. First, labeling of exogenous NPC populations was investigated, for use in cell tracking in grafting studies. Cell labeling was optimized in vitro with fetal NPC using the iron oxide-based MRI contrast agent. A labeling method was developed using the FePro contrast agent, which maximized iron oxide uptake, was non-toxic to NPC, and did not interfere with NPC proliferation and differentiation. Labelled cells were then grafted into the brain after cerebral ischaemia, and imaged over four weeks using MRI. NPC migration was not observed in vivo, but an endogenous contrast evolved over time within the lesioned tissue, which presented a source of confounding signal for cell tracking. Endogenous ferric iron was observed in the lesion on histological sections. Several limitations of using MRI-based iron oxide contrast agents were highlighted in this study. To circumvent these limitations, we considered the development of gadolinium-based MRI contrast agents for cellular labeling and tracking, in collaboration with Imperial College chemistry department. Polymeric Gd-DOTA chelates were synthesized and designed for maximal r1 relaxivity, and their relaxivity and effects on cell viability were assessed. Through this approach, we identified a number of candidate polymeric Gd-DOTA chelates with high relaxivity and low cytotoxicity for use in cellular imaging and tracking studies. Next, cell tracking of endogenous NPC was investigated, using MRI contrast agent and transgenic lineage tracing approaches. A method of in situ labeling of endogenous NPC with the MRI contrast agent FePro was developed. NPC were labeled with FePro in situ, and their normal migration to the olfactory bulb, where they contribute to neurogenesis, could be imaged in vivo and ex vivo. In a second study, the migration of NPC constitutively expressing green fluorescent protein (GPF) under the promoters of genes of two developmentally distinct cortical and striatal NPC populations, was investigated following cerebral ischaemia. Both cortical and striatal populations of NPC were observed to contribute to the migrating streams of NPC that were observed in the striatum after five weeks post-ischaemia. These studies demonstrate that MRI contrast agents offer the potential for in vivo, longitudinal tracking of NPC migration, in both grafted and endogenous NPC populations. Coupled with transgenic lineage tracing, and used in animal models of CNS injury such as cerebral ischaemia, labeling and tracking the migration of NSC with MRI contrast agents can contribute to our understanding of NPC biology in pathological environments.

Published
2010

18. Need an endomyocardial biopsy? Call your electrophysiology team

Author

Fitzpatrick, N, primary, Tovmassian, L, additional, Calvert, P, additional, Ness, N, additional, Mc Connon, N, additional, Luther, V, additional, Rao, A, additional, Mahida, S, additional, Dobson, R, additional, Fairbairn, T, additional, Cooper, R, additional, Ntouskou, M, additional, Ali, N, additional, Gosney, J, additional, and Modi, S, additional

Published
2023
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21. The shared genetic architecture of modifiable risk for Alzheimer's disease: a genomic structural equation modelling study

Author

Foote, IF, Jacobs, BM, Mathlin, G, Watson, CJ, Bothongo, PLK, Waters, S, Dobson, R, Noyce, AJ, Bhui, KS, Korszun, A, and Marshall, CR

Subjects
Aging, Alzheimer Disease, Latent Class Analysis, General Neuroscience, Humans, Genetic Predisposition to Disease, Genomics, Neurology (clinical), Geriatrics and Gerontology, Genome-Wide Association Study, Developmental Biology
Abstract

Targeting modifiable risk factors may help to prevent Alzheimer's disease (AD), but the pathways by which these risk factors influence AD risk remain incompletely understood. We identified genome-wide association studies for AD and its major modifiable risk factors. We calculated the genetic correlation among these traits and modelled this using genomic structural equation modelling. We identified complex networks of genetic overlap among AD risk factors, but AD itself was largely genetically distinct. The data were best explained by a bi-factor model, incorporating a Common Factor for AD risk, and 3 orthogonal sub-clusters of risk factors. Taken together, our findings suggest that there is extensive shared genetic architecture between AD modifiable risk factors, but this is largely independent of AD genetic pathways. Extensive genetic pleiotropy between risk factors may influence AD indirectly by decreasing cognitive reserve or increasing risk of multimorbidity, leading to poorer brain health. Further work to understand the biology reflected by this communality may provide novel mechanistic insights that could help to prioritise targets for dementia prevention.

Published
2022
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23. Monoclonal Antibodies in Pregnancy and Breastfeeding in Patients with Multiple Sclerosis: A Review and an Updated Clinical Guide

Author

Gklinos, P. Dobson, R. and Gklinos, P. Dobson, R.

Abstract

The use of high-efficacy disease-modifying therapies (DMTs) early in the course of multiple sclerosis (MS) has been shown to improve clinical outcomes and is becoming an increasingly popular treatment strategy. As a result, monoclonal antibodies, including natalizumab, alemtuzumab, ocrelizumab, ofatumumab, and ublituximab, are frequently used for the treatment of MS in women of childbearing age. To date, only limited evidence is available on the use of these DMTs in pregnancy. We aim to provide an updated overview of the mechanisms of action, risks of exposure and treatment withdrawal, and pre-conception counseling and management during pregnancy and post-partum of monoclonal antibodies in women with MS. Discussing treatment options and family planning with women of childbearing age is essential before commencing a DMT in order to make the most suitable choice for each individual patient. © 2023 by the authors.

Published
2023

24. Monitorización de la depresión mediante el análisis de la circadianidad del ritmo cardíaco proporcionado por un dispositivo wearable

Author

Pérez, S., Kontaxis, S., García, E., Siddi, S., Cummins, N., Vairavan, S., Matcham, F., Haro, J.M., Hotopf, M., Lamers, F., Penninx, B., Dobson, R., Narayan, V., Bailón, R., Martín-Yebra, A., Pérez, S., Kontaxis, S., García, E., Siddi, S., Cummins, N., Vairavan, S., Matcham, F., Haro, J.M., Hotopf, M., Lamers, F., Penninx, B., Dobson, R., Narayan, V., Bailón, R., and Martín-Yebra, A.

Abstract

En este estudio se ha aplicado el método de ajuste Cosinor, por mínimos cuadrados a una función senoidal, a los datos de frecuencia cardiaca (FC) de 203 pacientes con depresión, registrados de manera continua durante un transcurso de 18 meses por un dispositivo wearable, en condiciones de vida cotidiana. El objetivo es evaluar si la posible pérdida del ritmo circadiano, modulador de la frecuencia cardiaca, esta asociada a una depresión mas severa. Estos datos coexisten con resultados de pruebas médicas para la evaluación de la sintomatología de la depresión, como el Patient Health Questionnaire (PHQ-8) [1] y el Inventory of Depressive Symptomatology (IDS) [2], que permiten determinar la presencia y gravedad del trastorno. El estudio U de Mann-Whitney sobre el ajuste Cosinor de la frecuencia cardiaca, sincronizado a los registros de PHQ-8 e IDS basales de cada paciente, ha permitido encontrar diferencias significativas según la gravedad del trastorno: la amplitud derivada del ajuste Cosinor (es decir, la oscilación de la FC a lo largo del día) es significativamente menor en aquellos pacientes con depresión severa. Este resultado se cumple en todas las ventanas temporales de datos sobre las que se ha realizado el ajuste Cosinor (1 día, 1 semana y 2 semanas), así como para los ajustes sincronizados con PHQ-8 e IDS. Esto supone una pérdida en la circadianidad cuando la depresión es severa.

Published
2023

26. Investigating associations between blood metabolites, later life brain imaging measures, and genetic risk for Alzheimer's disease

Author

Green, RE, Lord, J, Scelsi, MA, Xu, J, Wong, A, Naomi-James, S, Handy, A, Gilchrist, L, Williams, DM, Parker, TD, Lane, CA, Malone, IB, Cash, DM, Sudre, CH, Coath, W, Thomas, DL, Keuss, S, Dobson, R, Legido-Quigley, C, Fox, NC, Schott, JM, Richards, M, Proitsi, P, and Radiology and nuclear medicine

Subjects
Neurology, Cognitive Neuroscience, Neurology (clinical)
Abstract

Background Identifying blood-based signatures of brain health and preclinical pathology may offer insights into early disease mechanisms and highlight avenues for intervention. Here, we systematically profiled associations between blood metabolites and whole-brain volume, hippocampal volume, and amyloid-β status among participants of Insight 46—the neuroscience sub-study of the National Survey of Health and Development (NSHD). We additionally explored whether key metabolites were associated with polygenic risk for Alzheimer’s disease (AD). Methods Following quality control, levels of 1019 metabolites—detected with liquid chromatography-mass spectrometry—were available for 1740 participants at age 60–64. Metabolite data were subsequently clustered into modules of co-expressed metabolites using weighted coexpression network analysis. Accompanying MRI and amyloid-PET imaging data were present for 437 participants (age 69–71). Regression analyses tested relationships between metabolite measures—modules and hub metabolites—and imaging outcomes. Hub metabolites were defined as metabolites that were highly connected within significant (pFDR APOE genotype, lipid medication use, childhood cognitive ability, and social factors. Finally, associations were tested between AD polygenic risk scores (PRS), including and excluding the APOE region, and metabolites and modules that significantly associated (pFDR N = 1638). Results In the fully adjusted model, three lipid modules were associated with a brain volume measure (pFDR ß = 0.14, 95% CI = [0.055,0.23]), one in several fatty acid pathways (whole-brain volume: ß = − 0.072, 95%CI = [− 0.12, − 0.026]), and another in diacylglycerols and phosphatidylethanolamines (whole-brain volume: ß = − 0.066, 95% CI = [− 0.11, − 0.020]). Twenty-two hub metabolites were associated (pFDR Conclusions Our findings highlight key metabolites, with functions in membrane integrity and cell signalling, that associated with structural brain measures in later life. Future research should focus on replicating this work and interrogating causality.

Published
2023
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31. Remote assessment of disease and relapse in major depressive disorder (RADAR-MDD): a multi-centre prospective cohort study protocol

Author

Matcham, F., Barattieri di San Pietro, C., Bulgari, V., de Girolamo, G., Dobson, R., Eriksson, H., Folarin, A. A., Haro, J. M., Kerz, M., Lamers, F., Li, Q., Manyakov, N. V., Mohr, D. C., Myin-Germeys, I., Narayan, V., BWJH, Penninx, Ranjan, Y., Rashid, Z., Rintala, A., Siddi, S., Simblett, S. K., Wykes, T., Hotopf, M., and on behalf of the RADAR-CNS consortium

Published
2019
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33. Longitudinal Ambient PM2.5 Measurement at Fifteen Locations in Eight Sub-Saharan African Countries Using Low-Cost Sensors

Author

Awokola, B, Okello, G, Johnson, O, Dobson, R, Ouédraogo, AR, Dibba, B, Ngahane, M, Ndukwu, C, Agunwa, C, Marangu, D, Lawin, H, Ogugua, I, Eze, J, Nwosu, N, Ofiaeli, O, Ubuane, P, Osman, R, Awokola, E, Erhart, A, Mortimer, K, Jewell, C, Semple, S, Awokola, B [0000-0002-0361-3625], Johnson, O [0000-0002-4080-0999], Dobson, R [0000-0001-8136-8373], Ouédraogo, AR [0000-0002-4835-4276], Lawin, H [0000-0001-6874-045X], Eze, J [0000-0002-1708-9182], Ubuane, P [0000-0002-4990-7717], Osman, R [0000-0002-1796-4557], Semple, S [0000-0002-0462-7295], and Apollo - University of Cambridge Repository

Subjects
sub-Saharan Africa, advocacy, air pollution, longitudinal study, low-cost sensors, outdoor PM concentration
Abstract

Air pollution is a major global public health issue causing considerable morbidity and mortality. Measuring levels of air pollutants and facilitating access to the data has been identified as a pathway to raise awareness and initiate dialogue between relevant stakeholders. Low-and middle-income countries (LMICs) urgently need simple, low-cost approaches to generate such data, especially in settings with no or unreliable data. We established a network of easy-to-use low-cost air quality sensors (PurpleAir-II-SD) to monitor fine particulate matter (PM2.5) concentrations at 15 sites, in 11 cities across eight sub-Saharan Africa (sSA) countries between February 2020 and January 2021. Annual PM2.5 concentrations, seasonal and temporal variability were determined. Time trends were modelled using harmonic regression. Annual PM2.5 concentrations ranged between 10 and 116 µg/m3 across study sites, exceeding the current WHO annual mean guideline level of 5 µg/m3. The largest degree of seasonal variation was seen in Nigeria, where seven sites showed higher PM2.5 levels during the dry than during the wet season. Other countries with less pronounced dry/wet season variations were Benin (20 µg/m3 versus 5 µg/m3), Uganda (50 µg/m3 versus 45 µg/m3), Sukuta (Gambia) (20 µg/m3 versus 15 µg/m3) and Kenya (30 µg/m3 versus 25 µg/m3). Diurnal variation was observed across all sites, with two daily PM2.5 peaks at about 06:00 and 18:00 local time. We identified high levels of air pollution in the 11 African cities included in this study. This calls for effective control measures to protect the health of African urban populations. The PM2.5 peaks around ‘rush hour’ suggest traffic-related emissions should be a particular area for attention.

Published
2022

42. The WHO-ITU MyopiaEd Programme: A Digital Message Programme Targeting Education on Myopia and Its Prevention.

Author

Keel, S, Govender-Poonsamy, P, Cieza, A, Faal, H, Flitcroft, I, Gifford, K, He, M, Khandekar, R, Naidoo, K, Oerding, M, Ohno-Matsui, K, Mariotti, S, Wildsoet, C, Wolffsohn, JS, Wong, TY, Yoon, S, Mueller, A, Dobson, R, Keel, S, Govender-Poonsamy, P, Cieza, A, Faal, H, Flitcroft, I, Gifford, K, He, M, Khandekar, R, Naidoo, K, Oerding, M, Ohno-Matsui, K, Mariotti, S, Wildsoet, C, Wolffsohn, JS, Wong, TY, Yoon, S, Mueller, A, and Dobson, R

Abstract

The objective of this paper is to provide an overview of the World Health Organization - International Telecommunication Union MyopiaEd programme - a digital message programme targeting education on myopia and its prevention. The development of the MyopiaEd programme included 4 key steps: (1) Conceptualization and consultation with experts in the field of myopia, mHealth and health behavior change; (2) Creation of SMS message libraries and programme algorithm; (3) Review of the message libraries to ensure relevance to the target audience; and (4) Pre-testing amongst end-user groups to ensure that the design of the programme and the message content were understandable. After reviewing the available evidence and considering input of the experts, the aims, end users and key themes of the programme were finalized. Separate SMS-adapted message libraries were developed, reviewed and pre-tested for four target end-user groups; (1) general population involved in the care of children (2) parents or caregivers of children with myopia; (3) adolescents with myopia; and (4) adults with myopia. The message libraries are part of a comprehensive toolkit, developed through a consultative process with experts in digital health, to support implementation within countries. The development of the MyopiaEd programme aims to provide a basis for Member States and other stakeholders to develop, implement and monitor large-scale mHealth programmes. It is aimed at raising awareness of good eye care behaviors and addressing common reasons for non-compliance to spectacle wear. The next steps will involve adapting and evaluating the MyopiaEd programme in selected settings.

Published
2022

43. Updated Results of the COVID-19 in MS Global Data Sharing Initiative Anti-CD20 and Other Risk Factors Associated With COVID-19 Severity

Author

Simpson-Yap, S, Pirmani, A, Kalincik, T, De Brouwer, E, Geys, L, Parciak, T, Helme, A, Rijke, N, Hillert, JA, Moreau, Y, Edan, G, Sharmin, S, Spelman, T, McBurney, R, Schmidt, H, Bergmann, AB, Braune, S, Stahmann, A, Middleton, RM, Salter, A, Bebo, B, van der Walt, A, Butzkueven, H, Ozakbas, S, Boz, C, Karabudak, R, Alroughani, R, Rojas, J, van der Mei, IA, do Olival, GS, Magyari, M, Alonso, RN, Nicholas, RS, Chertcoff, AS, de Torres, AZ, Arrambide, G, Nag, N, Descamps, A, Costers, L, Dobson, R, Miller, A, Rodrigues, P, Prckovska, V, Comi, G, Peeters, LM, Simpson-Yap, S, Pirmani, A, Kalincik, T, De Brouwer, E, Geys, L, Parciak, T, Helme, A, Rijke, N, Hillert, JA, Moreau, Y, Edan, G, Sharmin, S, Spelman, T, McBurney, R, Schmidt, H, Bergmann, AB, Braune, S, Stahmann, A, Middleton, RM, Salter, A, Bebo, B, van der Walt, A, Butzkueven, H, Ozakbas, S, Boz, C, Karabudak, R, Alroughani, R, Rojas, J, van der Mei, IA, do Olival, GS, Magyari, M, Alonso, RN, Nicholas, RS, Chertcoff, AS, de Torres, AZ, Arrambide, G, Nag, N, Descamps, A, Costers, L, Dobson, R, Miller, A, Rodrigues, P, Prckovska, V, Comi, G, and Peeters, LM

Abstract

BACKGROUND AND OBJECTIVES: Certain demographic and clinical characteristics, including the use of some disease-modifying therapies (DMTs), are associated with severe acute respiratory syndrome coronavirus 2 infection severity in people with multiple sclerosis (MS). Comprehensive exploration of these relationships in large international samples is needed. METHODS: Clinician-reported demographic/clinical data from 27 countries were aggregated into a data set of 5,648 patients with suspected/confirmed coronavirus disease 2019 (COVID-19). COVID-19 severity outcomes (hospitalization, admission to intensive care unit [ICU], requiring artificial ventilation, and death) were assessed using multilevel mixed-effects ordered probit and logistic regression, adjusted for age, sex, disability, and MS phenotype. DMTs were individually compared with glatiramer acetate, and anti-CD20 DMTs with pooled other DMTs and with natalizumab. RESULTS: Of 5,648 patients, 922 (16.6%) with suspected and 4,646 (83.4%) with confirmed COVID-19 were included. Male sex, older age, progressive MS, and higher disability were associated with more severe COVID-19. Compared with glatiramer acetate, ocrelizumab and rituximab were associated with higher probabilities of hospitalization (4% [95% CI 1-7] and 7% [95% CI 4-11]), ICU/artificial ventilation (2% [95% CI 0-4] and 4% [95% CI 2-6]), and death (1% [95% CI 0-2] and 2% [95% CI 1-4]) (predicted marginal effects). Untreated patients had 5% (95% CI 2-8), 3% (95% CI 1-5), and 1% (95% CI 0-3) higher probabilities of the 3 respective levels of COVID-19 severity than glatiramer acetate. Compared with pooled other DMTs and with natalizumab, the associations of ocrelizumab and rituximab with COVID-19 severity were also more pronounced. All associations persisted/enhanced on restriction to confirmed COVID-19. DISCUSSION: Analyzing the largest international real-world data set of people with MS with suspected/confirmed COVID-19 confirms that the use of anti-CD20 m

Published
2022

46. Remote Assessment of Disease and Relapse in Major Depressive Disorder (RADAR-MDD): Recruitment, retention, and data availability in a longitudinal remote measurement study

Author

Matcham, F., primary, Leightley, D., additional, Siddi, S., additional, Lamers, F., additional, White, K., additional, Annas, P., additional, De Girolamo, G., additional, Difrancesco, S., additional, Haro, J.M., additional, Horsfall, M., additional, Ivan, A., additional, Lavelle, G., additional, Li, Q., additional, Lombardini, F., additional, Mohr, D., additional, Narayan, V., additional, Oetzmann, C., additional, Penninx, B., additional, Simblett, S., additional, Bruce, S., additional, Nica, R., additional, Wykes, T., additional, Brasen, J., additional, Myin-Germeys, I., additional, Rintala, A., additional, Conde, P., additional, Dobson, R., additional, Folarin, A., additional, Stewart, C., additional, Ranjan, Y., additional, Rashid, Z., additional, Cummins, N., additional, Manyakov, N., additional, Vairavan, S., additional, and Hotopf, M., additional

Published
2022
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48. Evidence for X(3872) in Pb-Pb Collisions and Studies of its Prompt Production at root s(NN)=5.02 TeV

Author

Sirunyan, A. M., Tumasyan, A., Adam, W., Ambrogi, F., Bergauer, T., Dragicevic, M., Ero, J., Del, Valle, Escalante, A., Flechl, M., Fruhwirth, R., Jeitler, M., Krammer, N., Kratschmer, I, Liko, D., Madlener, T., Mikulec, I, Rad, N., Schieck, J., Schofbeck, R., Spanring, M., Waltenberger, W., Wulz, C-E, Zarucki, M., Drugakov, V, Mossolov, V, Gonzalez, Suarez, J., Darwish, M. R., Wolf, De, E. A., Croce, Di, Janssen, D., Kello, X., Lelek, T., Pieters, A., Sfar, M., Rejeb, H., Van, Haevermaet, Van, Mechelen, Van, Putte, Van, Remortel, Blekman, N., Bols, F., Chhibra, E. S., D'Hondt, S. S., Clercq, De, Lontkovskyi, J., Lowette, D., Marchesini, S., Moortgat, I, Python, S., Tavernier, Q., Van, Doninck, Van, Mulders, Beghin, P., Bilin, D., Clerbaux, B., Lentdecker, De, Delannoy, G., Dorney, H., Favart, B., Grebenyuk, L., Kalsi, A., Moureaux, A. K., Popov, L., Postiau, A., Starling, N., Thomas, E., L. V., Velde, Er, Vanlaer, C., Vannerom, P., Cornelis, D., Dobur, T., Khvastunov, D., Niedziela, I, Roskas, M., Skovpen, C., Tytgat, K., Verbeke, M., Vermassen, W., Vit, B., Bruno, M., Caputo, G., David, C., Delaere, P., Delcourt, C., Giammanco, M., Lemaitre, A., Prisci, V, Aro, J., Saggio, A., Vischia, P., Zobec, J., Alves, G. A., Silva, Correia, G., Hensel, C., Moraes, A., Batista Das Chagas, Belchior, E., Carvalho, W., Chinellato, J., Coelho, E., Costa, Da, E. M., Silveira, Da, Damiao, G. G., De Jesus, D., Martins, De Oliveira, C., Souza, De, Fonseca, S., Malbouisson, H., Martins, J., Figueiredo, Matos, D., Jaime, Medina, M., Almeida, De, Melo, M., Herrera, Mora, C., Mundim, L., Nogima, H., Prado Da Silva, Teles, W. L., Rebello, P., Rosas, Sanchez, L. J., Santoro, A., Sznajder, A., Thiel, M., Tonelli, Manganote, E. J., Da Silva De Araujo, Torres, F., Pereira, Vilela, A., Bernardes, C. A., Calligaris, L., Fern, ez Perez Tomei, Gregores, T. R., Lemos, E. M., Mercadante, D. S., Novaes, P. G., Padula, S. F., S, Ra, S., Aleks, Rov, Antchev, A., Hadjiiska, G., Iaydjiev, R., Misheva, P., Rodozov, M., Shopova, M., Sultanov, M., Bonchev, G., Dimitrov, M., Ivanov, A., Litov, T., Pavlov, L., Petkov, B., Petrov, P., Fang, A., Gao, W., Yuan, X., Ahmad, L., Hu, M., Wang, Z., Chen, Y., Chen, G. M., Chen, H. S., Jiang, M., Leggat, C. H., Liao, D., Liu, H., Spiezia, Z., Tao, A., Yazgan, J., Zhang, E., Zhang, H., Zhao, S., Agapitos, J., Ban, A., Levin, G., Li, A., Li, J., Li, L., Mao, Q., Qian, Y., Wang, S. J., Wang, D., Xiao, Q., Avila, M., Cabrera, C., Florez, A., Gonzalez, Hern, C. F., Ez, Segura, Delgado, M. A., Mejia, Guisao, Ruiz, Alvarez, J. D., Salazar, Gonzalez, C. A., Vanegas, Arbelaez, Godinovic, N., Lelas, N., Puljak, D., Sculac, I, Antunovic, T., Kovac, Z., Brigljevic, M., Ferencek, V, Kadija, D., Mesic, K., Roguljic, B., Starodumov, M., Susa, A., Ather, T., Attikis, M. W., Erodotou, A., Ioannou, E., Kolosova, A., Konstantinou, M., Mavromanolakis, S., Mousa, G., Nicolaou, J., Ptochos, C., Razis, F., Rykaczewski, P. A., Saka, H., Tsiakkouri, H., Finger, D., Finger, M., r. M., J, Kveton, A., Tomsa, J., Ayala, E., Jarrin, Carrera, E., Mahmoud, M. A., Mohammed, Y., Bhowmik, S., Antunes De Oliveira, Carvalho, A., Dewanjee, R. K., Ehataht, K., Kadastik, M., Raidal, M., Veelken, C., Eerola, P., Forthomme, L., Kirschenmann, H., Osterberg, K., Voutilainen, M., Garcia, F., Havukainen, J., Heikkila, J. K., Karimaki, V, Kim, M. S., Kinnunen, R., Lampen, T., Lassila-Perini, K., Laurila, S., Lehti, S., Linden, T., Siikonen, H., Tuominen, E., Tuominiemi, J., Luukka, P., Tuuva, T., Besancon, M., Couderc, F., Dejardin, M., Denegri, D., Fabbro, B., Faure, J. L., Ferri, F., Ganjour, S., Givernaud, A., Gras, P., Monchenault, De, Hamel, G., Jarry, P., Leloup, C., Lenzi, B., Locci, E., Malcles, J., R, Er, Rosowsky, J., Sahin, A., Savoy-Navarro, M. O., Titov, A., Yu, M., Ahuja, G. B., Amendola, S., Beaudette, C., Bonanomi, F., Busson, M., Charlot, P., Diab, C., Falmagne, B., Cassagnac, De, Granier, R., Kucher, I, Lobanov, A., Perez, Martin, C., Nguyen, M., Och, O, Paganini, C., Rembser, P., Salerno, J., Sauvan, R., Sirois, J. B., Zabi, Y., Zghiche, A., Agram, A., J-L, Rea, Bloch, J., Bourgatte, D., Brom, G., J-M, Chabert, Collard, E. C., Conte, C., Fontaine, E., J-C, Gele, Goerlach, D., Grimault, U., Bihan, Le, A-C, Tonon, Van, Hove, Gadrat, P., Beauceron, S., Bernet, S., Boudoul, C., Camen, G., Carle, C., Chanon, A., Chierici, N., Contardo, R., Depasse, D., Mamouni, El, Fay, H., Gascon, J., Gouzevitch, S., Ille, M., Jain, B., Laktineh, Sa, Lattaud, I. B., Lesauvage, H., Lethuillier, A., Mirabito, M., Perries, L., Sordini, S., Torterotot, V, Touquet, L., G. V., Donckt, Er, Viret, M., Toriashvili, S., Tsamalaidze, T., Autermann, Z., Feld, C., Klein, L., Lipinski, K., Meuser, M., Pauls, D., Preuten, A., Rauch, M., Schulz, M. P., Teroerde, J., Erdmann, M., Fischer, M., Ghosh, B., Hebbeker, S., Hoepfner, T., Keller, K., Mastrolorenzo, H., Merschmeyer, L., Meyer, M., Millet, A., Mocellin, P., Mondal, G., Mukherjee, S., Noll, S., Novak, D., Pook, A., Pozdnyakov, T., Quast, A., Radziej, T., Rath, M., Reithler, Y., Roemer, H., Schmidt, J., Schuler, A., Sharma, S. C., Wiedenbeck, A., Zaleski, S., Flugge, S., Ahmad, G., Haj, W., Hlushchenko, O., Kress, T., Muller, T., Nowack, A., Pistone, C., Pooth, O., Roy, D., Sert, H., Stahl, A., Martin, Aldaya, M., Asmuss, P., Babounikau, I, Bakhshiansohi, H., Beernaert, K., Behnke, O., Martinez, Bermudez, A., Bin, Anuar, Borras, A. A., Botta, K., Campbell, V, Cardini, A., Connor, A., Rodriguez, P., Consuegra, S., Contreras-Campana, C., Danilov, V, Wit, De, Defranchis, A., Pardos, M. M., Diez, C., Damiani, Dominguez, D., Eckerlin, G., Eckstein, D., Eichhorn, T., Elwood, A., Eren, E., Banos, Estevez, L. I., Gallo, E., Geiser, A., Grohsjean, A., Guthoff, M., Haranko, M., Harb, A., Jafari, A., Jomhari, N. Z., Jung, H., Kasem, A., Kasemann, M., Kaveh, H., Keaveney, J., Kleinwort, C., Knolle, J., Krucker, D., Lange, W., Lenz, T., Lidrych, J., Lipka, K., Lohmann, W., Mankel, R., Melzer-Pellmann, I-A, Meyer, A. B., Missiroli, M., Mnich, J., Mussgiller, A., Myronenko, V, Adan, Perez, D., Pflitsch, S. K., Pitzl, D., Raspereza, A., Saibel, A., Savitskyi, M., Scheurer, V, Schutze, P., Schwanenberger, C., Shevchenko, R., Singh, A., Ricardo, Sosa, R. E., Tholen, H., Turkot, O., Vagnerini, A., Van De Klundert, Walsh, M., Wen, R., Wichmann, Y., Wissing, K., Zenaiev, C., Zlebcik, O., Aggleton, R., Bein, R., Benato, S., Benecke, L., Dreyer, A., Ebrahimi, T., Feindt, A., Frohlich, F., Garbers, A., Garutti, C., Gonzalez, E., Gunnellini, D., Haller, P., Hinzmann, J., Karavdina, A., Kasieczka, A., Klanner, G., Kogler, R., Kovalchuk, R., Kurz, N., Kutzner, S., Lange, V, Lange, J., Malara, T., Multhaup, A., Niemeyer, J., Reimers, C. E. N., Rieger, A., Schleper, O., Schumann, P., Schw, S., T, J., Sonneveld, J., Stadie, H., Steinbruck, G., Vormwald, B., Zoi, I, Akbiyik, M., Baselga, M., Baur, S., Berger, T., Butz, E., Caspart, R., Chwalek, T., Boer, De, Dierlamm, W., Morabit, El, Faltermann, K., Giffels, N., Gottmann, M., Hartmann, A., Heidecker, F., Husemann, C., Iqbal, U., Kudella, M. A., Maier, S., Mitra, S., Mozer, S., Muller, M. U., Muller, D., Musich, Th, Nurnberg, M., Rabbertz, G., Savoiu, K., Schafer, D., Schnepf, D., Schroder, M., Shvetsov, M., Simonis, I, Ulrich, H. J., Wassmer, R., Weber, M., Wohrmann, M., Wolf, C., Wozniewski, R., Anagnostou, S., Asenov, G., Daskalakis, P., Geralis, G., Kyriakis, T., Loukas, A., Paspalaki, D., Stakia, G., Diamantopoulou, A., Karathanasis, M., Kontaxakis, G., Manousakis-katsikakis, P., Panagiotou, A., Papavergou, A., Saoulidou, I, Theofilatos, N., Vellidis, K., Vourliotis, K., Bakas, E., Kousouris, G., Papakrivopoulos, K., Tsipolitis, I, Zacharopoulou, G., Evangelou, A., Foudas, I, Gianneios, C., Katsoulis, P., Kokkas, P., Mallios, P., Manitara, S., Manthos, K., Papadopoulos, N., Strologas, I, Triantis, J., Tsitsonis, F. A., Bartok, D., Chudasama, M., Csanad, R., Major, M., P. M., Al, K., Mehta, A., Pasztor, G., Suranyi, O., Veres, I, Bencze, G., Hajdu, G., Horvath, C., Sikler, D., Veszpremi, F., Vesztergombi, V., Beni, G., Czellar, N., Karancsi, S., Molnar, J., Szillasi, J., Raics, Z., Teyssier, P., Trocsanyi, D., Ujvari, Z. L., Csorgo, B., Metzger, T., Nemes, W. J., Novak, F., Choudhury, T., Komaragiri, S., Tiwari, J. R., Bahinipati, P. C., Kar, S., Kole, C., Mal, G., Bindhu, P., Muraleedharan Nair, V. K., Nayak, A., Sahoo, D. K., Swain, S. K., Bansal, S., Beri, S. B., Bhatnagar, V, Chauhan, S., Dhingra, N., Gupta, R., Kaur, A., Kaur, M., Kaur, S., Kumari, P., Lohan, M., Meena, M., Eep, S, Sharma, K., Singh, S., Virdi, J. B., Walia, A. K., Bhardwaj, G., Choudhary, A., Garg, B. C., Gola, R. B., Keshri, M., Kumar, S., Ashok, Naimuddin, Priyanka, M., Ranjan, P., Shah, K., Aashaq, Sharma, Bhardwaj, R., Bharti, R., Bhattacharya, M., Bhattacharya, R., Bhaw, S., Eep, U., Bhowmik, D., Dutta, S., Ghosh, S., Gomber, B., Maity, M., Mondal, K., N, An, Purohit, S., Rout, A., Saha, P. K., Sarkar, G., Sharan, S., Singh, M., Thakur, B., Behera, S., Behera, P. K., Kalbhor, S. C., Muhammad, P., Pujahari, A., Sharma, P. R., Sikdar, A., Dutta, A. K., Jha, D., Mishra, V, Netrakanti, D. K., Pant, P. K., Shukla, L. M., Aziz, P., Bhat, T., Dugad, M. A., Mohanty, S., Sur, G. B., Verma, N., Ravindra, Kumar, Banerjee, S., Bhattacharya, S., Chatterjee, S., Das, P., Guchait, M., Karmakar, S., Majumder, G., Mazumdar, K., Sahoo, N., Sawant, S., Dube, S., Kansal, B., Kapoor, A., Kothekar, K., P, Ey, Rane, S., Rastogi, A., Sharma, A., Chenarani, S., Etesami, S., Khakzad, S. M., Najafabadi, M., Mohammadi, M., Naseri, M., Hosseinabadi, Rezaei, F., Felcini, M., Grunewald, M., Abbrescia, M., Aly, R., Calabria, C., Colaleo, A., Creanza, D., Cristella, L., Filippis, De, Palma, De, Florio, Di, Elmetenawee, A., Fiore, W., Gelmi, L., Iaselli, A., Ince, G., Lezki, M., Maggi, S., Maggi, G., Merlin, M., Miniello, J. A., My, G., Nuzzo, S., Pompili, S., Pugliese, A., Radogna, G., Ranieri, R., Selvaggi, A., Silvestris, G., Simone, L., Venditti, F. M., Verwilligen, R., Abbiendi, P., Battilana, G., Bonacorsi, C., Borgonovi, D., Braibant-Giacomelli, L., Campanini, S., Capiluppi, R., Castro, P., Cavallo, A., Codispoti, F. R., Cuffiani, G., Dallavalle, M., Fabbri, G. M., Fanfani, F., Fontanesi, A., Giacomelli, E., Giommi, P., Gr, L., I, C., Guiducci, L., Iemmi, F., Meo, Lo, Marcellini, S., Masetti, S., Navarria, G., Perrotta, F. L., Primavera, A., Rossi, F., Rovelli, A. M., Siroli, T., Tosi, G. P., Albergo, N., Costa, S., Mattia, Di, Potenza, A., Tricomi, R., Tuve, A., Barbagli, C., Cassese, G., Ceccarelli, A., Ciulli, R., Civinini, V, D'Aless, C., Ro, R., Fiori, F., Focardi, E., Latino, G., Lenzi, P., Meschini, M., Paoletti, S., Sguazzoni, G., Viliani, L., Benussi, L., Bianco, S., Piccolo, D., Bozzo, M., Ferro, F., Mulargia, R., Robutti, E., Tosi, S., Benaglia, A., Beschi, A., Brivio, F., Ciriolo, V, Dinardo, M. E., Dini, P., Gennai, S., Ghezzi, A., Govoni, P., Guzzi, L., Malberti, M., Malvezzi, S., Menasce, D., Monti, F., Moroni, L., Paganoni, M., Pedrini, D., Ragazzi, S., Fatis, De, Tabarelli, T., Valsecchi, D., Zuolo, D., Buontempo, S., Cavallo, N., Iorio, De, Crescenzo, Di, Fabozzi, A., Fienga, F., Galati, F., Iorio, G., Layer, A. O. M., Lista, L., Meola, L., Paolucci, S., Rossi, P., Sciacca, B., Voevodina, C., Azzi, E., Bacchetta, P., Bisello, N., Boletti, D., Bragagnolo, A., Carlin, A., Checchia, R., Manzano, P., De Castro, P., Dorigo, T., Dosselli, U., Gasparini, F., Gasparini, U., Gozzelino, A., Hoh, S. Y., Margoni, M., Meneguzzo, A. T., Pazzini, J., Presilla, M., Ronchese, P., Rossin, R., Simonetto, F., Tiko, A., Tosi, M., Zanetti, M., Zotto, P., Zucchetta, A., Zumerle, G., Braghieri, A., Fiorina, D., Montagna, P., Ratti, S. P., Re, V, Ressegotti, M., Riccardi, C., Salvini, P., Vai, I, Vitulo, P., Biasini, M., Bilei, G. M., Ciangottini, D., Fano, L., Lariccia, P., Leonardi, R., Manoni, E., Mantovani, G., Mariani, V, Menichelli, M., Rossi, A., Santocchia, A., Spiga, D., Rosov, K., Azzurri, P., Bagliesi, G., Bertacchi, V, Bianchini, L., Boccali, T., Castaldi, R., Ciocci, M. A., Dell'Orso, R., Donato, S., Giannini, L., Giassi, A., Grippo, M. T., Ligabue, F., Manca, E., Orli, M, Messineo, G., Palla, A., Rizzi, F., Rol, A., I, G., Chowdhury, Roy, S., Scribano, A., Spagnolo, P., Tenchini, R., Tonelli, G., Turini, N., Venturi, A., Verdini, P. G., Cavallari, F., Cipriani, M., Del, Re, Marco, Di, Diemoz, E., Longo, M., Meridiani, E., Organtini, P., G. P., Olfi, F., Paramatti, R., Quaranta, C., Rahatlou, S., Rovelli, C., Santanastasio, F., Soffi, L., Tramontano, R., Amapane, N., Arcidiacono, R., Argiro, S., Arneodo, M., Bartosik, N., Bellan, R., Bellora, A., Biino, C., Cappati, A., Cartiglia, N., Cometti, S., Costa, M., Covarelli, R., Demaria, N., Fern, Ez, Gonzalez, J. R., Kiani, B., Legger, F., Mariotti, C., Maselli, S., Migliore, E., Monaco, V, Monteil, E., Monteno, M., Obertino, M. M., Ortona, G., Pacher, L., Pastrone, N., Pelliccioni, M., Angioni, Pinna, G. L., Romero, A., Ruspa, M., Salvatico, R., Sola, V, Solano, A., Soldi, D., Staiano, A., Trocino, D., Belforte, S., Elise, C, Casarsa, V, Cossutti, M., Rold, Da, Della, Ricca, Vazzoler, G., Zanetti, F., Kim, A., Kim, B., Kim, D. H., Lee, G. N., Lee, J., Moon, S. W., C. S., Oh, Pak, Y. D., I, S., Sekmen, S., Son, D. C., Yang, Y. C., Kim, H., Moon, D. H., Francois, B., Kim, T. J., Park, J., Cho, S., Choi, S., Go, Y., Ha, S., Hong, B., Lee, K., Lee, K. S., Lim, J., Park, S. K., Roh, Y., Yoo, J., Goh, J., Kim, H. S., Almond, J., Bhyun, J. H., Choi, J., Jeon, S., Kim, J., Kim, J. S., Lee, H., Lee, S., Nam, K., Oh, M., S. B., Oh, Radburn-Smith, B. C., Yang, U. K., Yoo, H. D., Yoon, I, Jeon, D., Kim, J. H., Lee, J. S. H., Park, I. C., Watson, I. J., Choi, Y., Hwang, C., Jeong, Y., Lee, Y., Yu, I, Veckalns, V., Dudenas, V, Juodagalvis, A., Rinkevicius, A., Tamulaitis, G., Vaitkus, J., Idris, Mohamad, F., Abdullah, Wan, W. A. T., Yusli, M. N., Zolkapli, Z., Benitez, J. F., Hern, Ez, Castaneda, A., Quijada, Murillo, J. A., Palomo, Valencia, L., Castilla-Valdez, H., De La Cruz-Burelo, Heredia-De La Cruz, Lopez-Fern, I, Ez, R., Sanchez-Hern, Ez, Moreno, A., Carrillo, S., Oropeza, Barrera, Ramirez-Garcia, C., Vazquez, Valencia, Eysermans, F., Pedraza, J., I, Salazar, Ibarguen, H. A., Uribe, Estrada, Pineda, C., Morelos, A., Mijuskovic, J., Raicevic, N., Krofcheck, D., Bheesette, S., Butler, P. H., Lujan, P., Ahmad, A., Ahmad, M., Awan, M. I. M., Hassan, Q., Hoorani, H. R., Khan, W. A., Shah, M. A., Shoaib, M., Waqas, M., Avati, V, Grzanka, L., Malawski, M., Bialkowska, H., Bluj, M., Boimska, B., Gorski, M., Kazana, M., Szleper, M., Zalewski, P., Bunkowski, K., Byszuk, A., Doroba, K., Kalinowski, A., Konecki, M., Krolikowski, J., Olszewski, M., Walczak, M., Araujo, M., Bargassa, P., Bastos, D., Francesco, Di, Faccioli, A., Galinhas, P., Gallinaro, B., Hollar, M., Leonardo, J., Niknejad, N., Seixas, T., Shchelina, J., Strong, K., Toldaiev, G., Varela, O., Afanasiev, J., Bunin, S., Ershov, P., Golutvin, Y., Gorbunov, I, Kamenev, I, Karjavine, A., Korenkov, V, Lanev, V, Malakhov, A., Matveev, A., Mitsyn, V, Moisenz, V. V., Palichik, P., Perelygin, V, Shmatov, V, Skatchkov, S., Yuldashev, N., Zarubin, B. 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Subjects
MODEL, Physics and Astronomy, High Energy Physics::Experiment, QUARK-GLUON PLASMA, Nuclear Experiment
Abstract

The first evidence for X(3872) production in relativistic heavy ion collisions is reported. The X(3872) production is studied in lead-lead (Pb-Pb) collisions at a center-of-mass energy of root s(NN) = 5.02 TeV per nucleon pair, using the decay chain X(3872) -> J/psi pi(+)pi(-) -> mu(+) mu(-) pi(+)pi(-). The data were recorded with the CMS detector in 2018 and correspond to an integrated luminosity of 1.7 nb(-1). The measurement is performed in the rapidity and transverse momentum ranges vertical bar y vertical bar < 1.6 and 15 < p(T) < 50 GeV/c. The significance of the inclusive X(3872) signal is 4.2 standard deviations. The prompt X(3872) to psi 2S yield ratio is found to be rho(Pb-Pb) = 1.08 +/- 0.49(stat) +/- 0.52(syst), to be compared with typical values of 0.1 for pp collisions. This result provides a unique experimental input to theoretical models of the X(3872) production mechanism, and of the nature of this exotic state.

Published
2022

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