2024
Turtle, L., Elliot, S., Drake, T. M., Thorpe, M., Khoury, E. G., Greenhalf, W., . . . ISARIC4C Investigators. (2024). Changes in hospital mortality in patients with cancer during the COVID-19 pandemic (ISARIC-CCP-UK): a prospective, multicentre cohort study.. The Lancet. Oncology, 25(5), 636-648. doi:10.1016/s1470-2045(24)00107-4DOI: 10.1016/s1470-2045(24)00107-4
Cho, S. -M., Premraj, L., Battaglini, D., Fanning, J. P., Suen, J., Bassi, G. L., . . . ISARIC Clinical Characterization Group. (2024). Sex differences in post-acute neurological sequelae of SARS-CoV-2 and symptom resolution in adults after coronavirus disease 2019 hospitalization: an international multi-centre prospective observational study.. Brain communications, 6(2), fcae036. doi:10.1093/braincomms/fcae036DOI: 10.1093/braincomms/fcae036
2023
Gonçalves, B. P., Jassat, W., Baruch, J., Hashmi, M., Rojek, A., Dasgupta, A., . . . ISARIC Clinical Characterisation Group. (2023). A multi-country analysis of COVID-19 hospitalizations by vaccination status.. Med (New York, N.Y.), 4(11), 797-812.e2. doi:10.1016/j.medj.2023.08.005DOI: 10.1016/j.medj.2023.08.005
How might dynamic artificial intelligence (DynAIRx) be used to support prescribing to ensure efficient medication reviews? (Report)
Abuzour, A., Wilson, S., Woodall, A., Mair, F., Bollegala, D., Cant, H., . . . Walker, L. (2023). How might dynamic artificial intelligence (DynAIRx) be used to support prescribing to ensure efficient medication reviews?. American Academy of Family Physicians. doi:10.1370/afm.22.s1.4823DOI: 10.1370/afm.22.s1.4823
Zhu, Y., Almeida, F. J., Baillie, J. K., Bowen, A. C., Britton, P. N., Brizuela, M. E., . . . Short, K. R. (2023). International Pediatric COVID-19 Severity Over the Course of the Pandemic. JAMA PEDIATRICS. doi:10.1001/jamapediatrics.2023.3117DOI: 10.1001/jamapediatrics.2023.3117
Tirupakuzhi Vijayaraghavan, B. K., Bishnu, S., Baruch, J., Citarella, B. W., Kartsonaki, C., Meeyai, A., . . . ISARIC Clinical Characterisation Group. (2023). Liver injury in hospitalized patients with COVID-19: An International observational cohort study.. PloS one, 18(9), e0277859. doi:10.1371/journal.pone.0277859DOI: 10.1371/journal.pone.0277859
Roper, K. J., Thomas, J., Albalawi, W., Maddocks, E., Dobson, S., Alshehri, A., . . . Pollakis, G. (2023). Quantifying neutralising antibody responses against SARS-CoV-2 in dried blood spots (DBS) and paired sera.. Scientific reports, 13(1), 15014. doi:10.1038/s41598-023-41928-2DOI: 10.1038/s41598-023-41928-2
Docherty, A. B., Farrell, J., Thorpe, M., Egan, C., Dunn, S., Norman, L., . . . Lone, N. I. (2023). Patient emergency health-care use before hospital admission for COVID-19 and long-term outcomes in Scotland: a national cohort study.. The Lancet. Digital health, 5(7), e446-e457. doi:10.1016/s2589-7500(23)00051-1DOI: 10.1016/s2589-7500(23)00051-1
Burnside, G., Cheyne, C. P., Leeming, G., Humann, M., Darby, A., Green, M. A., . . . Buchan, I. E. (2023). COVID-19 risk-mitigation in reopening mass cultural events: population-based observational study for the UK Events Research Programme in Liverpool City Region. Journal of the Royal Society of Medicine. doi:10.1177/01410768231182389DOI: 10.1177/01410768231182389
Neumann, V., Davidge, G., Harding, M., Cunningham, J., Davies, N., Devaney, S., . . . Ainsworth, J. (2023). Examining public views on decentralised health data sharing. PLOS ONE, 18(3). doi:10.1371/journal.pone.0282257DOI: 10.1371/journal.pone.0282257
Turtle, L., Thorpe, M., Drake, T. M., Swets, M., Palmieri, C., Russell, C. D., . . . Docherty, A. B. (2023). Outcome of COVID-19 in hospitalised immunocompromised patients: An analysis of the WHO ISARIC CCP-UK prospective cohort study.. PLoS medicine, 20(1), e1004086. doi:10.1371/journal.pmed.1004086DOI: 10.1371/journal.pmed.1004086
2022
Jefferson, E., Cole, C., Mumtaz, S., Cox, S., Giles, T. C., Adejumo, S., . . . Quinlan, P. (2022). A Hybrid Architecture (CO-CONNECT) to Facilitate Rapid Discovery and Access to Data Across the United Kingdom in Response to the COVID-19 Pandemic: Development Study. JOURNAL OF MEDICAL INTERNET RESEARCH, 24(12). doi:10.2196/40035DOI: 10.2196/40035
Green, M. A., Hungerford, D. J., Hughes, D. M., Garcia-Finana, M., Turtle, L., Cheyne, C., . . . Buchan, I. (2022). Changing patterns of SARS-CoV-2 infection through Delta and Omicron waves by vaccination status, previous infection and neighbourhood deprivation: a cohort analysis of 2.7 M people. BMC INFECTIOUS DISEASES, 22(1). doi:10.1186/s12879-022-07878-2DOI: 10.1186/s12879-022-07878-2
Vink, E., Davis, C., MacLean, A., Pascall, D., McDonald, S. E., Gunson, R., . . . Ho, A. (2022). Viral Coinfections in Hospitalized Coronavirus Disease 2019 Patients Recruited to the International Severe Acute Respiratory and Emerging Infections Consortium WHO Clinical Characterisation Protocol UK Study. OPEN FORUM INFECTIOUS DISEASES, 9(11). doi:10.1093/ofid/ofac531DOI: 10.1093/ofid/ofac531
Keeling, M. J., Dyson, L., Guyver-Fletcher, G., Holmes, A., Semple, M. G., Tildesley, M. J., & Hill, E. M. (2022). Fitting to the UK COVID-19 outbreak, short-term forecasts and estimating the reproductive number. STATISTICAL METHODS IN MEDICAL RESEARCH, 31(9), 1716-1737. doi:10.1177/09622802211070257DOI: 10.1177/09622802211070257
Garcia-Gallo, E., Merson, L., Kennon, K., Kelly, S., Citarella, B. W., Fryer, D. V., . . . Reyes, L. F. (2022). ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19. SCIENTIFIC DATA, 9(1). doi:10.1038/s41597-022-01534-9DOI: 10.1038/s41597-022-01534-9
CO-CONNECT: A hybrid architecture to facilitate rapid discovery and access to UK wide data in the response to the COVID-19 pandemic (Preprint) (Preprint)
DOI: 10.2196/preprints.40035
Millar, J. E., Neyton, L., Seth, S., Dunning, J., Merson, L., Murthy, S., . . . Baillie, J. K. (2022). Distinct clinical symptom patterns in patients hospitalised with COVID-19 in an analysis of 59,011 patients in the ISARIC-4C study. SCIENTIFIC REPORTS, 12(1). doi:10.1038/s41598-022-08032-3DOI: 10.1038/s41598-022-08032-3
Narhi, F., Moonesinghe, S. R., Shenkin, S. D., Drake, T. M., Mulholland, R. H., Donegan, C., . . . Docherty, A. B. (2022). Implementation of corticosteroids in treatment of COVID-19 in the ISARIC WHO Clinical Characterisation Protocol UK: prospective, cohort study. LANCET DIGITAL HEALTH, 4(4). Retrieved from https://www.webofscience.com/
Dejnirattisai, W., Huo, J., Zhou, D., Zahradník, J., Supasa, P., Liu, C., . . . Screaton, G. R. (2022). SARS-CoV-2 Omicron-B.1.1.529 leads to widespread escape from neutralizing antibody responses.. Cell, 185(3), 467-484.e15. doi:10.1016/j.cell.2021.12.046DOI: 10.1016/j.cell.2021.12.046
Walker, L. E., Abuzour, A. S., Bollegala, D., Clegg, A., Gabbay, M., Griffiths, A., . . . Buchan, I. (2022). The DynAIRx Project Protocol: Artificial Intelligence for dynamic prescribing optimisation and care integration in multimorbidity.. Journal of multimorbidity and comorbidity, 12, 26335565221145493. doi:10.1177/26335565221145493DOI: 10.1177/26335565221145493
2021
Niemi, M. E. K., Karjalainen, J., Daly, M., Ganna, A., Mehtonen, J., Cordioli, M., . . . Dopazo, X. (2021). Mapping the human genetic architecture of COVID-19. NATURE, 600(7889), 472-+. doi:10.1038/s41586-021-03767-xDOI: 10.1038/s41586-021-03767-x
The value of open-source clinical science in pandemic response: lessons from ISARIC (Journal article)
The value of open-source clinical science in pandemic response: lessons from ISARIC (2021). LANCET INFECTIOUS DISEASES, 21(12), 1623-1624. doi:10.1016/S1473-3099(21)00565-XDOI: 10.1016/S1473-3099(21)00565-X
de, S. T. I., Liu, G., Lindsey, B. B., Dong, D., Moore, S. C., Hsu, N. S., . . . Dong, T. (2021). The impact of viral mutations on recognition by SARS-CoV-2 specific T cells. ISCIENCE, 24(11). doi:10.1016/j.isci.2021.103353DOI: 10.1016/j.isci.2021.103353
Cushnan, D., Berka, R., Bertolli, O., Williams, P., Schofield, D., Joshi, I., . . . Collaborative, N. C. C. I. D. (2021). Towards nationally curated data archives for clinical radiology image analysis at scale: Learnings from national data collection in response to a pandemic. DIGITAL HEALTH, 7. doi:10.1177/20552076211048654DOI: 10.1177/20552076211048654
Abdukahil, S. A., Abe, R., Abel, L., Absil, L., Acker, A., Adachi, S., . . . Zucman, D. (2021). COVID-19 symptoms at hospital admission vary with age and sex: results from the ISARIC prospective multinational observational study. INFECTION, 49(5), 889-905. doi:10.1007/s15010-021-01599-5DOI: 10.1007/s15010-021-01599-5
Russell, C. D., Fairfield, C. J., Drake, T. M., Turtle, L., Seaton, R. A., Wootton, D. G., . . . Ho, A. (2021). Co-infections, secondary infections, and antimicrobial use in patients hospitalised with COVID-19 during the first pandemic wave from the ISARIC WHO CCP-UK study: a multicentre, prospective cohort study. LANCET MICROBE, 2(8), E354-E365. doi:10.1016/S2666-5247(21)00090-2DOI: 10.1016/S2666-5247(21)00090-2
Drake, T. M., Riad, A. M., Fairfield, C. J., Egan, C., Knight, S. R., Pius, R., . . . Semple, M. G. (2021). Characterisation of in-hospital complications associated with COVID-19 using the ISARIC WHO Clinical Characterisation Protocol UK: a prospective, multicentre cohort study. LANCET, 398(10296), 223-237. Retrieved from https://www.webofscience.com/
Docherty, A., Mulholland, R., Lone, N. I., Cheyne, C., De Angelis, D., Diaz-Ordaz, K., . . . Semple, M. (2021). Changes in in-hospital mortality in the first wave of COVID-19: a multicentre prospective observational cohort study using the WHO Clinical Characterisation Protocol UK. LANCET RESPIRATORY MEDICINE, 9(7), 773-785. doi:10.1016/S2213-2600(21)00175-2DOI: 10.1016/S2213-2600(21)00175-2
Non-steroidal anti-inflammatory drug use and outcomes of COVID-19 in the ISARIC Clinical Characterisation Protocol UK cohort: a matched, prospective cohort study. (Journal article)
Drake, T. M., Fairfield, C. J., Pius, R., Knight, S. R., Norman, L., Girvan, M., . . . ISARIC4C Investigators. (2021). Non-steroidal anti-inflammatory drug use and outcomes of COVID-19 in the ISARIC Clinical Characterisation Protocol UK cohort: a matched, prospective cohort study.. The Lancet. Rheumatology, 3(7), e498-e506. doi:10.1016/s2665-9913(21)00104-1DOI: 10.1016/s2665-9913(21)00104-1
Yates, T., Zaccardi, F., Islam, N., Razieh, C., Gillies, C. L., Lawson, C. A., . . . Khunti, K. (2021). Obesity, Ethnicity, and Risk of Critical Care, Mechanical Ventilation, and Mortality in Patients Admitted to Hospital with COVID-19: Analysis of the ISARIC CCP-UK Cohort. OBESITY, 29(7), 1223-1230. doi:10.1002/oby.23178DOI: 10.1002/oby.23178
Bloom, C. I., Drake, T. M., Docherty, A. B., Lipworth, B. J., Johnston, S. L., Nguyen-Van-Tam, J. S., . . . Openshaw, P. J. M. (2021). Risk of adverse outcomes in patients with underlying respiratory conditions admitted to hospital with COVID-19 a national, multicentre prospective cohort study using the ISARIC WHO Clinical Characterisation Protocol UK. LANCET RESPIRATORY MEDICINE, 9(7), 699-711. doi:10.1016/S2213-2600(21)00013-8DOI: 10.1016/S2213-2600(21)00013-8
Leclerc, Q. J., Fuller, N. M., Keogh, R. H., Diaz-Ordaz, K., Sekula, R., Semple, M. G., . . . Knight, G. M. (2021). Importance of patient bed pathways and length of stay differences in predicting COVID-19 hospital bed occupancy in England. BMC HEALTH SERVICES RESEARCH, 21(1). doi:10.1186/s12913-021-06509-xDOI: 10.1186/s12913-021-06509-x
Gupta, R. K., Harrison, E. M., Ho, A., Docherty, A. B., Knight, S. R., van Smeden, M., . . . Noursadeghi, M. (2021). Development and validation of the ISARIC 4C Deterioration model for adults hospitalised with COVID-19: a prospective cohort study. LANCET RESPIRATORY MEDICINE, 9(4), 349-359. doi:10.1016/S2213-2600(20)30559-2DOI: 10.1016/S2213-2600(20)30559-2
Pairo-Castineira, E., Clohisey, S., Klaric, L., Bretherick, A. D., Rawlik, K., Pasko, D., . . . Baillie, J. K. (2021). Genetic mechanisms of critical illness in COVID-19. NATURE, 591(7848), 92-+. doi:10.1038/s41586-020-03065-yDOI: 10.1038/s41586-020-03065-y
Cunningham, J., Davidge, G., Davies, N., Devaney, S., Holm, S., Harding, M., . . . Ainsworth, J. (2021). Blockchain Native Data Linkage. FRONTIERS IN BLOCKCHAIN, 4. doi:10.3389/fbloc.2021.667388DOI: 10.3389/fbloc.2021.667388
2020
Thomson, E., Rosen, L., Shepherd, J., Spreafico, R., da Silva Filipe, A., Wojcechowskyj, J., . . . the COVID-19 Genomics UK (COG-UK) consortium. (2020). The circulating SARS-CoV-2 spike variant N439K maintains fitness while evading antibody-mediated immunity. doi:10.1101/2020.11.04.355842DOI: 10.1101/2020.11.04.355842
Thompson, C. P., Grayson, N. E., Paton, R. S., Bolton, J. S., Lourenco, J., Penman, B. S., . . . Simmonds, P. (2020). Detection of neutralising antibodies to SARS-CoV-2 to determine population exposure in Scottish blood donors between March and May 2020. EUROSURVEILLANCE, 25(42), 33-41. doi:10.2807/1560-7917.ES.2020.25.42.2000685DOI: 10.2807/1560-7917.ES.2020.25.42.2000685
Drake, T. M., Docherty, A. B., Harrison, E. M., Quint, J. K., Adamali, H., Agnew, S., . . . ISARIC4C Investigators. (2020). Outcome of Hospitalization for COVID-19 in Patients with Interstitial Lung Disease: An International Multicenter Study.. Am J Respir Crit Care Med. doi:10.1164/rccm.202007-2794OCDOI: 10.1164/rccm.202007-2794OC
Designing a Solution to Manage Electronic Consent for Children (Conference Paper)
Leeming, G., Thew, S., & Ainsworth, J. (2020). Designing a Solution to Manage Electronic Consent for Children. In DIGITAL PERSONALIZED HEALTH AND MEDICINE Vol. 270 (pp. 1103-1107). doi:10.3233/SHTI200333DOI: 10.3233/SHTI200333
2019
A Ledger of Me: Personalizing Healthcare Using Blockchain Technology (Journal article)
Leeming, G., Cunningham, J., & Ainsworth, J. (2019). A Ledger of Me: Personalizing Healthcare Using Blockchain Technology. FRONTIERS IN MEDICINE, 6. doi:10.3389/fmed.2019.00171DOI: 10.3389/fmed.2019.00171
Blockchain in health care: hype, trust, and digital health (Journal article)
Leeming, G., Ainsworth, J., & Clifton, D. A. (2019). Blockchain in health care: hype, trust, and digital health. LANCET, 393(10190), 2476-2477. doi:10.1016/S0140-6736(19)30948-1DOI: 10.1016/S0140-6736(19)30948-1
2018
Addressing the Socio-Technical Challenges of Health Information Exchange Adoption: DataWell in Greater Manchester (Conference Paper)
Thew, S., Leeming, G., & Ainsworth, J. (2018). Addressing the Socio-Technical Challenges of Health Information Exchange Adoption: DataWell in Greater Manchester. In BUILDING CONTINENTS OF KNOWLEDGE IN OCEANS OF DATA: THE FUTURE OF CO-CREATED EHEALTH Vol. 247 (pp. 790-794). doi:10.3233/978-1-61499-852-5-790DOI: 10.3233/978-1-61499-852-5-790
2017
Computable Information Governance Contracts (Journal article)
Cunningham, J., Leeming, G., & Ainsworth, J. (2017). Computable Information Governance Contracts. INFORMATICS FOR HEALTH: CONNECTED CITIZEN-LED WELLNESS AND POPULATION HEALTH, 235, 476-480. doi:10.3233/978-1-61499-753-5-476DOI: 10.3233/978-1-61499-753-5-476
DataWell: Public Involvement in the Development of a Federated Platform for Shared Patient Records in Greater Manchester, UK (Conference Paper)
Leeming, G., & Thew, S. (2017). DataWell: Public Involvement in the Development of a Federated Platform for Shared Patient Records in Greater Manchester, UK. In PRACTICE OF PATIENT CENTERED CARE: EMPOWERING AND ENGAGING PATIENTS IN THE DIGITAL ERA Vol. 244 (pp. 48-52). doi:10.3233/978-1-61499-824-2-48DOI: 10.3233/978-1-61499-824-2-48
