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pro vyhledávání: '"Thangaratinam S"'
Akademický článek
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Autor:
Leach, J.P., Smith, P.E., Craig, J., Bagary, M., Cavanagh, D., Duncan, S., Kelso, A.R.C., Marson, A.G., McCorry, D., Nashef, L., Nelson-Piercy, C., Northridge, R., Sieradzan, K., Thangaratinam, S., Walker, M., Winterbottom, J., Reuber, M.
Publikováno v:
In Seizure: European Journal of Epilepsy August 2017 50:67-72
Akademický článek
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Autor:
Lee, S. I., Azcoaga-Lorenzo, A., Agrawal, U., Kennedy, J. I., Fagbamigbe, A. F., Hope, H., Subramanian, A., Anand, A., Taylor, B., Nelson-Piercy, C., Damase-Michel, C., Yau, C., Crowe, F., Santorelli, G., Eastwood, K-A., Vowles, Z., Loane, M., Moss, N., Brocklehurst, P., Plachcinski, R., Thangaratinam, S., Black, M., O'Reilly, D., Abel, K. M., Brophy, S., Nirantharakumar, K., McCowan, C., MuM-PreDiCT Group
Publikováno v:
BMC Pregnancy and Childbirth, Vol 22, Iss 1, Pp 1-15 (2022)
MuM-PreDiCT Group 2022, ' Epidemiology of pre-existing multimorbidity in pregnant women in the UK in 2018 : a population-based cross-sectional study ', BMC Pregnancy and Childbirth, vol. 22, no. 1, 120 . https://doi.org/10.1186/s12884-022-04442-3
MuM-PreDiCT Group 2022, ' Epidemiology of pre-existing multimorbidity in pregnant women in the UK in 2018: a population-based cross-sectional study ', BMC Pregnancy and Childbirth, vol. 22, no. 1, 120 . https://doi.org/10.1186/s12884-022-04442-3
BMC Pregnancy and Childbirth
BMC Pregnancy and Childbirth, 2022, 22 (1), pp.120. ⟨10.1186/s12884-022-04442-3⟩
MuM-PreDiCT Group 2022, ' Epidemiology of pre-existing multimorbidity in pregnant women in the UK in 2018 : a population-based cross-sectional study ', BMC Pregnancy and Childbirth, vol. 22, no. 1, 120 . https://doi.org/10.1186/s12884-022-04442-3
MuM-PreDiCT Group 2022, ' Epidemiology of pre-existing multimorbidity in pregnant women in the UK in 2018: a population-based cross-sectional study ', BMC Pregnancy and Childbirth, vol. 22, no. 1, 120 . https://doi.org/10.1186/s12884-022-04442-3
BMC Pregnancy and Childbirth
BMC Pregnancy and Childbirth, 2022, 22 (1), pp.120. ⟨10.1186/s12884-022-04442-3⟩
Background Although maternal death is rare in the United Kingdom, 90% of these women had multiple health/social problems. This study aims to estimate the prevalence of pre-existing multimorbidity (two or more long-term physical or mental health condi
Autor:
Allotey, J., Whittle, R., Snell, K. I. E., Smuk, M., Townsend, R., von Dadelszen, P., Heazell, A. E. P., Magee, L., Smith, G. C. S., Sandall, J., Thilaganathan, B., Zamora, J., Riley, R. D., Khalil, A., Thangaratinam, S., Coomarasamy, A., Kwong, A., Savitri, A. I., Salvesen, K. A., Bhattacharya, S., Uiterwaal, C. S. P. M., Staff, A. C., Andersen, L. B., Olive, E. L., Redman, C., Sletner, L., Daskalakis, G., Macleod, M., Abdollahain, M., Ramirez, J. A., Masse, J., Audibert, F., Magnus, P. M., Jenum, A. K., Baschat, A., Ohkuchi, A., Mcauliffe, F. M., West, J., Askie, L. M., Mone, F., Farrar, D., Zimmerman, P. A., Smits, L. J. M., Riddell, C., Kingdom, J. C., van de Post, J., Illanes, S. E., Holzman, C., van Kuijk, S. M. J., Carbillon, L., Villa, P. M., Eskild, A., Chappell, L., Prefumo, F., Velauthar, L., Seed, P., van Oostwaard, M., Verlohren, S., Poston, L., Ferrazzi, E., Vinter, C. A., Nagata, C., Brown, M., Vollebregt, K. C., Takeda, S., Langenveld, J., Widmer, M., Saito, S., Haavaldsen, C., Carroli, G., Olsen, J., Wolf, H., Zavaleta, N., Eisensee, I., Vergani, P., Lumbiganon, P., Makrides, M., Facchinetti, F., Sequeira, E., Gibson, R., Ferrazzani, S., Frusca, T., Norman, J. E., Figueiro, E. A., Lapaire, O., Laivuori, H., Lykke, J. A., Conde-Agudelo, A., Galindo, A., Mbah, A., Betran, A. P., Herraiz, I., Trogstad, L., Smith, G. G. S., Steegers, E. A. P., Salim, R., Huang, T., Adank, A., Zhang, J., Meschino, W. S., Browne, J. L., Allen, R. E., Costa, F. D. S., Klipstein-Grobusch Browne, K., Crowther, C. A., Jorgensen, J. S., Forest, J. -C., Rumbold, A. R., Mol, B. W., Giguere, Y., Kenny, L. C., Ganzevoort, W., Odibo, A. O., Myers, J., Yeo, S. A., Goffinet, F., Mccowan, L., Pajkrt, E., Teede, H. J., Haddad, B. G., Dekker, G., Kleinrouweler, E. C., Lecarpentier, E., Roberts, C. T., Groen, H., Skrastad, R. B., Heinonen, S., Eero, K., Anggraini, D., Souka, A., Cecatti, J. G., Monterio, I., Pillalis, A., Souza, R., Hawkins, L. A., Gabbay-Benziv, R., Crovetto, F., Figuera, F., Jorgensen, L., Dodds, J., Patel, M., Aviram, A., Papageorghiou, A., Khan, K.
Publikováno v:
IPPIC Collaborative Network & Mone, F 2021, ' External validation of prognostic models to predict stillbirth using the International Prediction of Pregnancy Complications (IPPIC) Network database: an individual participant data meta-analysis ', Ultrasound in Obstetrics and Gynecology . https://doi.org/10.1002/uog.23757
Ultrasound in obstetrics & gynecology, 59(2), 209-219. John Wiley and Sons Ltd
the IPPIC Collaborative Network 2022, ' External validation of prognostic models to predict stillbirth using International Prediction of Pregnancy Complications (IPPIC) Network database : individual participant data meta-analysis ', Ultrasound in Obstetrics and Gynecology, vol. 59, no. 2, pp. 209-219 . https://doi.org/10.1002/uog.23757
Ultrasound in Obstetrics and Gynecology, 59(2), 209-219. John Wiley and Sons Ltd
IPPIC Collaborative Network 2021, ' External validation of prognostic models to predict stillbirth using the International Prediction of Pregnancy Complications (IPPIC) Network database : an individual participant data meta-analysis ', Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology . https://doi.org/10.1002/uog.23757
2022, ' External validation of prognostic models to predict stillbirth using International Prediction of Pregnancy Complications (IPPIC) Network database : individual participant data meta-analysis ', Ultrasound in Obstetrics and Gynecology, vol. 59, no. 2, pp. 209-219 . https://doi.org/10.1002/uog.23757
Ultrasound in obstetrics & gynecology, 59(2), 209-219. John Wiley and Sons Ltd
the IPPIC Collaborative Network 2022, ' External validation of prognostic models to predict stillbirth using International Prediction of Pregnancy Complications (IPPIC) Network database : individual participant data meta-analysis ', Ultrasound in Obstetrics and Gynecology, vol. 59, no. 2, pp. 209-219 . https://doi.org/10.1002/uog.23757
Ultrasound in Obstetrics and Gynecology, 59(2), 209-219. John Wiley and Sons Ltd
IPPIC Collaborative Network 2021, ' External validation of prognostic models to predict stillbirth using the International Prediction of Pregnancy Complications (IPPIC) Network database : an individual participant data meta-analysis ', Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology . https://doi.org/10.1002/uog.23757
2022, ' External validation of prognostic models to predict stillbirth using International Prediction of Pregnancy Complications (IPPIC) Network database : individual participant data meta-analysis ', Ultrasound in Obstetrics and Gynecology, vol. 59, no. 2, pp. 209-219 . https://doi.org/10.1002/uog.23757
Objective Stillbirth is a potentially preventable complication of pregnancy. Identifying women at high risk of stillbirth can guide decisions on the need for closer surveillance and timing of delivery in order to prevent fetal death. Prognostic model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7afa3ce05a1ae96f7fce48ed60d2e6e3
https://hdl.handle.net/11380/1279718
https://hdl.handle.net/11380/1279718
Autor:
Prasad, S, Kalafat, E, Blakeway, H, Townsend, R, O'Brien, P, Morris, E, Draycott, T, Thangaratinam, S, Le Doare, K, Ladhani, S, von Dadelszen, P, Magee, LA, Heath, P, Khalil, A
Safety and effectiveness of COVID-19 vaccines during pregnancy is a particular concern affecting vaccination uptake by this vulnerable group. Here we evaluated evidence from 23 studies including 117,552 COVID-19 vaccinated pregnant people, almost exc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::e69411246f9b58376a51af1d94f716b0
https://openaccess.sgul.ac.uk/id/eprint/114350/1/s41467-022-30052-w.pdf
https://openaccess.sgul.ac.uk/id/eprint/114350/1/s41467-022-30052-w.pdf
Autor:
Allotey, J, Chatterjee, S, Kew, T, Gaetano, A, Stallings, E, Fernández-García, S, Yap, M, Sheikh, J, Lawson, H, Coomar, D, Dixit, A, Zhou, D, Balaji, R, Littmoden, M, King, Y, Debenham, L, Llavall, AC, Ansari, K, Sandhu, G, Banjoko, A, Walker, K, O'Donoghue, K, van Wely, M, van Leeuwen, E, Kostova, E, Kunst, H, Khalil, A, Brizuela, V, Broutet, N, Kara, E, Kim, CR, Thorson, A, Oladapo, OT, Zamora, J, Bonet, M, Mofenson, L, Thangaratinam, S, PregCOV-19 Living Systematic Review Consortium
OBJECTIVES: To assess the rates of SARS-CoV-2 positivity in babies born to mothers with SARS-CoV-2 infection, the timing of mother-to-child transmission and perinatal outcomes, and factors associated with SARS-CoV-2 status in offspring. DESIGN: Livin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::63ee6f19aab368fbfa6677b1a3d07882
https://openaccess.sgul.ac.uk/id/eprint/114281/7/bmj-2021-067696.full.pdf
https://openaccess.sgul.ac.uk/id/eprint/114281/7/bmj-2021-067696.full.pdf
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Akademický článek
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