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1. Maternal Mid-Gestation Cytokine Dysregulation in Mothers of Children with Autism Spectrum Disorder

Author

Casey, S., Carter, M., Looney, A. M., Livingstone, V., Moloney, G., O'Keeffe, G. W., Taylor, R. S., Kenny, L. C., McCarthy, F. P., McCowan, L. M. E., Thompson, J. M. D., and Murray, D. M.

Abstract

Autism spectrum disorder (ASD) is a developmental disorder characterised by deficits in social interactions and communication, with stereotypical and repetitive behaviours. Recent evidence suggests that maternal immune dysregulation may predispose offspring to ASD. Independent samples t-tests revealed downregulation of IL-17A concentrations in cases, when compared to controls, at both 15 weeks (p = 0.02), and 20 weeks (p = 0.02), which persisted at 20 weeks following adjustment for confounding variables. This adds to the growing body of evidence that maternal immune regulation may play a role in foetal neurodevelopment. [This article was written on behalf of the SCOPE Consortium.]

Published
2022
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4. Impact of maternal, antenatal and birth-associated factors on iron stores at birth: data from a prospective maternal-infant birth cohort

Author

McCarthy, E K, Kenny, L C, Hourihane, J O'B, Irvine, A D, Murray, D M, and Kiely, M E

Subjects
Food and nutrition, Health aspects, Newborn infants -- Food and nutrition -- Health aspects, Mother-infant relations -- Health aspects, Iron (Nutrient) -- Health aspects, Iron in the body -- Health aspects, Mother and infant -- Health aspects, Infants (Newborn) -- Food and nutrition -- Health aspects
Abstract

Author(s): E K McCarthy [sup.1] [sup.2] , L C Kenny [sup.2] [sup.3] , J O'B Hourihane [sup.2] [sup.4] , A D Irvine [sup.5] [sup.6] [sup.7] , D M Murray [sup.2] [...], Background/Objectives: Low serum ferritin concentrations at birth, which reflect neonatal iron stores, track through to early childhood and have been associated with poorer neurodevelopmental outcomes. We aimed to identify maternal, antenatal and birth-associated factors that influence iron stores at birth in a prospective maternal-infant birth cohort. Subjects/Methods: In a population-based, longitudinal, birth cohort in Ireland, 413 maternal-infant dyads with prospectively collected lifestyle and clinical data from 15 weeks' gestation had umbilical cord serum ferritin concentrations measured. Regression models were developed to identify independent factors associated with cord ferritin concentrations. Results: Median (IQR) cord ferritin concentrations were 185.7 (131.7, 385.5) [mu]g/l, and 8% (n=33) of infants had low iron stores (ferritin Conclusions: We have identified a number of potentially modifiable lifestyle factors that influence iron stores at birth, with the important role of overall maternal health and lifestyle during pregnancy highlighted. Public health policies targeting women of child-bearing age to improve nutrition and health outcomes should be prioritised for the health of the next generation.

Published
2017
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11. External validation of prognostic models to predict stillbirth using International Prediction of Pregnancy Complications (IPPIC) Network database: individual participant data meta-analysis

Author

Allotey, J, Whittle, R, Snell, K, Smuk, M, Townsend, R, von Dadelszen, P, Heazell, A, Magee, L, Smith, G, Sandall, J, Thilaganathan, B, Zamora, J, Riley, R, Khalil, A, Thangaratinam, S, Coomarasamy, A, Kwong, A, Savitri, A, Salvesen, K, Bhattacharya, S, Uiterwaal, C, Staff, A, Andersen, L, Olive, E, Redman, C, Sletner, L, Daskalakis, G, Macleod, M, Abdollahain, M, Ramirez, J, Masse, J, Audibert, F, Magnus, P, Jenum, A, Baschat, A, Ohkuchi, A, Mcauliffe, F, West, J, Askie, L, Mone, F, Farrar, D, Zimmerman, P, Smits, L, Riddell, C, Kingdom, J, van de Post, J, Illanes, S, Holzman, C, van Kuijk, S, Carbillon, L, Villa, P, Eskild, A, Chappell, L, Prefumo, F, Velauthar, L, Seed, P, van Oostwaard, M, Verlohren, S, Poston, L, Ferrazzi, E, Vinter, C, Nagata, C, Brown, M, Vollebregt, K, 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, Figueiro, E, Lapaire, O, Laivuori, H, Lykke, J, Conde-Agudelo, A, Galindo, A, Mbah, A, Betran, A, Herraiz, I, Trogstad, L, Steegers, E, Salim, R, Huang, T, Adank, A, Zhang, J, Meschino, W, Browne, J, Allen, R, Costa, F, Klipstein-Grobusch Browne, K, Crowther, C, Jorgensen, J, Forest, J, Rumbold, A, Mol, B, Giguere, Y, Kenny, L, Ganzevoort, W, Odibo, A, Myers, J, Yeo, S, Goffinet, F, Mccowan, L, Pajkrt, E, Teede, H, Haddad, B, Dekker, G, Kleinrouweler, E, Lecarpentier, E, Roberts, C, Groen, H, Skrastad, R, Heinonen, S, Eero, K, Anggraini, D, Souka, A, Cecatti, J, Monterio, I, Pillalis, A, Souza, R, Hawkins, L, Gabbay-Benziv, R, Crovetto, F, Figuera, F, Jorgensen, L, Dodds, J, Patel, M, Aviram, A, Papageorghiou, A, Khan, K, 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., Allotey, J, Whittle, R, Snell, K, Smuk, M, Townsend, R, von Dadelszen, P, Heazell, A, Magee, L, Smith, G, Sandall, J, Thilaganathan, B, Zamora, J, Riley, R, Khalil, A, Thangaratinam, S, Coomarasamy, A, Kwong, A, Savitri, A, Salvesen, K, Bhattacharya, S, Uiterwaal, C, Staff, A, Andersen, L, Olive, E, Redman, C, Sletner, L, Daskalakis, G, Macleod, M, Abdollahain, M, Ramirez, J, Masse, J, Audibert, F, Magnus, P, Jenum, A, Baschat, A, Ohkuchi, A, Mcauliffe, F, West, J, Askie, L, Mone, F, Farrar, D, Zimmerman, P, Smits, L, Riddell, C, Kingdom, J, van de Post, J, Illanes, S, Holzman, C, van Kuijk, S, Carbillon, L, Villa, P, Eskild, A, Chappell, L, Prefumo, F, Velauthar, L, Seed, P, van Oostwaard, M, Verlohren, S, Poston, L, Ferrazzi, E, Vinter, C, Nagata, C, Brown, M, Vollebregt, K, 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, Figueiro, E, Lapaire, O, Laivuori, H, Lykke, J, Conde-Agudelo, A, Galindo, A, Mbah, A, Betran, A, Herraiz, I, Trogstad, L, Steegers, E, Salim, R, Huang, T, Adank, A, Zhang, J, Meschino, W, Browne, J, Allen, R, Costa, F, Klipstein-Grobusch Browne, K, Crowther, C, Jorgensen, J, Forest, J, Rumbold, A, Mol, B, Giguere, Y, Kenny, L, Ganzevoort, W, Odibo, A, Myers, J, Yeo, S, Goffinet, F, Mccowan, L, Pajkrt, E, Teede, H, Haddad, B, Dekker, G, Kleinrouweler, E, Lecarpentier, E, Roberts, C, Groen, H, Skrastad, R, Heinonen, S, Eero, K, Anggraini, D, Souka, A, Cecatti, J, Monterio, I, Pillalis, A, Souza, R, Hawkins, L, Gabbay-Benziv, R, Crovetto, F, Figuera, F, Jorgensen, L, Dodds, J, Patel, M, Aviram, A, Papageorghiou, A, Khan, K, 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., and Khan K.

Abstract

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 models have been developed to predict the risk of stillbirth, but none has yet been validated externally. In this study, we externally validated published prediction models for stillbirth using individual participant data (IPD) meta-analysis to assess their predictive performance. Methods: MEDLINE, EMBASE, DH-DATA and AMED databases were searched from inception to December 2020 to identify studies reporting stillbirth prediction models. Studies that developed or updated prediction models for stillbirth for use at any time during pregnancy were included. IPD from cohorts within the International Prediction of Pregnancy Complications (IPPIC) Network were used to validate externally the identified prediction models whose individual variables were available in the IPD. The risk of bias of the models and cohorts was assessed using the Prediction study Risk Of Bias ASsessment Tool (PROBAST). The discriminative performance of the models was evaluated using the C-statistic, and calibration was assessed using calibration plots, calibration slope and calibration-in-the-large. Performance measures were estimated separately in each cohort, as well as summarized across cohorts using random-effects meta-analysis. Clinical utility was assessed using net benefit. Results: Seventeen studies reporting the development of 40 prognostic models for stillbirth were identified. None of the models had been previously validated externally, and the full model equation was reported for only one-fifth (20%, 8/40) of the models. External validation was possible for three of these models, using IPD from 19 cohorts (491 201 pregnant women) within the IPPIC Network database. Based on evaluation of the model development studies, all three models had an overa

Published
2022

12. External validation of prognostic models to predict stillbirth using International Prediction of Pregnancy Complications (IPPIC) Network database: individual participant data meta-analysis

Author

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., Clinicum, HUS Gynecology and Obstetrics, Department of Obstetrics and Gynecology, HUS Children and Adolescents, Lastentautien yksikkö, Children's Hospital, Allotey, J, Whittle, R, Snell, K, Smuk, M, Townsend, R, von Dadelszen, P, Heazell, A, Magee, L, Smith, G, Sandall, J, Thilaganathan, B, Zamora, J, Riley, R, Khalil, A, Thangaratinam, S, Coomarasamy, A, Kwong, A, Savitri, A, Salvesen, K, Bhattacharya, S, Uiterwaal, C, Staff, A, Andersen, L, Olive, E, Redman, C, Sletner, L, Daskalakis, G, Macleod, M, Abdollahain, M, Ramirez, J, Masse, J, Audibert, F, Magnus, P, Jenum, A, Baschat, A, Ohkuchi, A, Mcauliffe, F, West, J, Askie, L, Mone, F, Farrar, D, Zimmerman, P, Smits, L, Riddell, C, Kingdom, J, van de Post, J, Illanes, S, Holzman, C, van Kuijk, S, Carbillon, L, Villa, P, Eskild, A, Chappell, L, Prefumo, F, Velauthar, L, Seed, P, van Oostwaard, M, Verlohren, S, Poston, L, Ferrazzi, E, Vinter, C, Nagata, C, Brown, M, Vollebregt, K, 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, Figueiro, E, Lapaire, O, Laivuori, H, Lykke, J, Conde-Agudelo, A, Galindo, A, Mbah, A, Betran, A, Herraiz, I, Trogstad, L, Steegers, E, Salim, R, Huang, T, Adank, A, Zhang, J, Meschino, W, Browne, J, Allen, R, Costa, F, Klipstein-Grobusch Browne, K, Crowther, C, Jorgensen, J, Forest, J, Rumbold, A, Mol, B, Giguere, Y, Kenny, L, Ganzevoort, W, Odibo, A, Myers, J, Yeo, S, Goffinet, F, Mccowan, L, Pajkrt, E, Teede, H, Haddad, B, Dekker, G, Kleinrouweler, E, Lecarpentier, E, Roberts, C, Groen, H, Skrastad, R, Heinonen, S, Eero, K, Anggraini, D, Souka, A, Cecatti, J, Monterio, I, Pillalis, A, Souza, R, Hawkins, L, Gabbay-Benziv, R, Crovetto, F, Figuera, F, Jorgensen, L, Dodds, J, Patel, M, Aviram, A, Papageorghiou, A, Khan, K, Tampere University, Obstetrics and Gynaecology, APH - Quality of Care, Amsterdam Reproduction & Development (AR&D), APH - Personalized Medicine, APH - Digital Health, and Obstetrics and gynaecology

Subjects
Calibration (statistics), Perinatal Death, Overfitting, Cohort Studies, Fetal Development, 0302 clinical medicine, Discriminative model, 3123 Gynaecology and paediatrics, Models, Pregnancy, GROWTH RESTRICTION, Statistics, Medicine, Prenatal, 030212 general & internal medicine, Ultrasonography, RISK, 030219 obstetrics & reproductive medicine, PRETERM, Radiological and Ultrasound Technology, LOW-DOSE ASPIRIN, DIAGNOSIS TRIPOD, Obstetrics and Gynecology, General Medicine, Statistical, Stillbirth, Prognosis, Pregnancy Complication, external validation, individual participant data, intrauterine death, prediction model, stillbirth, Female, Humans, Infant, Newborn, Models, Statistical, Pregnancy Complications, Regression Analysis, Risk Assessment, Ultrasonography, Prenatal, 3. Good health, PREECLAMPSIA, Meta-analysis, Human, Cohort study, Prognosi, MEDLINE, Regression Analysi, WEEKS GESTATION, 03 medical and health sciences, VELOCIMETRY, Radiology, Nuclear Medicine and imaging, RECURRENCE, business.industry, Infant, Newborn, R1, HYPERTENSIVE DISORDERS, Reproductive Medicine, Sample size determination, Cohort Studie, RG, business, RA, Predictive modelling
Abstract

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 models have been developed to predict the risk of stillbirth, but none has yet been validated externally. In this study, we externally validated published prediction models for stillbirth using individual participant data (IPD) meta-analysis to assess their predictive performance. Methods MEDLINE, EMBASE, DH-DATA and AMED databases were searched from inception to December 2020 to identify studies reporting stillbirth prediction models. Studies that developed or updated prediction models for stillbirth for use at any time during pregnancy were included. IPD from cohorts within the International Prediction of Pregnancy Complications (IPPIC) Network were used to validate externally the identified prediction models whose individual variables were available in the IPD. The risk of bias of the models and cohorts was assessed using the Prediction study Risk Of Bias ASsessment Tool (PROBAST). The discriminative performance of the models was evaluated using the C-statistic, and calibration was assessed using calibration plots, calibration slope and calibration-in-the-large. Performance measures were estimated separately in each cohort, as well as summarized across cohorts using random-effects meta-analysis. Clinical utility was assessed using net benefit. Results Seventeen studies reporting the development of 40 prognostic models for stillbirth were identified. None of the models had been previously validated externally, and the full model equation was reported for only one-fifth (20%, 8/40) of the models. External validation was possible for three of these models, using IPD from 19 cohorts (491 201 pregnant women) within the IPPIC Network database. Based on evaluation of the model development studies, all three models had an overall high risk of bias, according to PROBAST. In the IPD meta-analysis, the models had summary C-statistics ranging from 0.53 to 0.65 and summary calibration slopes ranging from 0.40 to 0.88, with risk predictions that were generally too extreme compared with the observed risks. The models had little to no clinical utility, as assessed by net benefit. However, there remained uncertainty in the performance of some models due to small available sample sizes. Conclusions The three validated stillbirth prediction models showed generally poor and uncertain predictive performance in new data, with limited evidence to support their clinical application. The findings suggest methodological shortcomings in their development, including overfitting. Further research is needed to further validate these and other models, identify stronger prognostic factors and develop more robust prediction models. (c) 2021 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.

Published
2022
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22. Placental growth factor in assessment of women with suspected pre-eclampsia to reduce maternal morbidity: a stepped wedge cluster randomised control trial (PARROT Ireland)

Author

Hayes-Ryan, D, primary, Khashan, A S, additional, Hemming, K, additional, Easter, C, additional, Devane, D, additional, Murphy, D J, additional, Hunter, A, additional, Cotter, A, additional, McAuliffe, F M, additional, Morrison, J J, additional, Breathnach, F M, additional, Dempsey, E, additional, Kenny, L C, additional, and O’Donoghue, K, additional

Published
2021
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30. Effect of sildenafil on maternal hemodynamics in pregnancies complicated by severe early‐onset fetal growth restriction: planned subgroup analysis from a multicenter randomized placebo‐controlled double‐blind trial

Author

Khalil, A., primary, Sharp, A., additional, Cornforth, C., additional, Jackson, R., additional, Mousa, H., additional, Stock, S., additional, Harrold, J., additional, Turner, M. A., additional, Kenny, L. C., additional, Baker, P. N., additional, Johnstone, E. D., additional, Von Dadelszen, P., additional, Magee, L., additional, Papageorghiou, A. T., additional, and Alfirevic, Z., additional

Published
2020
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32. Impact of maternal body mass index and gestational weight gain on pregnancy complications: an individual participant data meta-analysis of European, North American and Australian cohorts

Author

Santos, S., Santos, S., Voerman, E., Amiano, P., Barros, H., Beilin, L. J., Bergstrom, A., Charles, M-A, Chatzi, L., Chevrier, C., Chrousos, G. P., Corpeleijn, E., Costa, O., Costet, N., Crozier, S., Devereux, G., Doyon, M., Eggesbo, M., Fantini, M. P., Farchi, S., Forastiere, F., Georgiu, V., Godfrey, K. M., Gori, D., Grote, V., Hanke, W., Hertz-Picciotto, I., Heude, B., Hivert, M-F, Hryhorczuk, D., Huang, R-C, Inskip, H., Karvonen, A. M., Kenny, L. C., Koletzko, B., Kupers, L. K., Lagstrom, H., Lehmann, I., Magnus, P., Majewska, R., Makela, J., Manios, Y., McAuliffe, F. M., McDonald, S. W., Mehegan, J., Melen, E., Mommers, M., Morgen, C. S., Moschonis, G., Murray, D., Ni Chaoimh, C., Nohr, E. A., Andersen, A-M Nybo, Oken, E., Oostvogels, A. J. J. M., Pac, A., Papadopoulou, E., Pekkanen, J., Pizzi, C., Polanska, K., Porta, D., Richiardi, L., Rifas-Shiman, S. L., Roeleveld, N., Ronfani, L., Santos, A. C., Standl, M., Stigum, H., Stoltenberg, C., Thiering, E., Thijs, C., Torrent, M., Tough, S. C., Trnovec, T., Turner, S., van Gelder, M. M. H. J., van Rossem, L., von Berg, A., Vrijheid, M., Vrijkotte, T. G. M., West, J., Wijga, A. H., Wright, J., Zvinchuk, O., Sorensen, T. I. A., Lawlor, D. A., Gaillard, R., Jaddoe, V. W. V., Santos, S., Santos, S., Voerman, E., Amiano, P., Barros, H., Beilin, L. J., Bergstrom, A., Charles, M-A, Chatzi, L., Chevrier, C., Chrousos, G. P., Corpeleijn, E., Costa, O., Costet, N., Crozier, S., Devereux, G., Doyon, M., Eggesbo, M., Fantini, M. P., Farchi, S., Forastiere, F., Georgiu, V., Godfrey, K. M., Gori, D., Grote, V., Hanke, W., Hertz-Picciotto, I., Heude, B., Hivert, M-F, Hryhorczuk, D., Huang, R-C, Inskip, H., Karvonen, A. M., Kenny, L. C., Koletzko, B., Kupers, L. K., Lagstrom, H., Lehmann, I., Magnus, P., Majewska, R., Makela, J., Manios, Y., McAuliffe, F. M., McDonald, S. W., Mehegan, J., Melen, E., Mommers, M., Morgen, C. S., Moschonis, G., Murray, D., Ni Chaoimh, C., Nohr, E. A., Andersen, A-M Nybo, Oken, E., Oostvogels, A. J. J. M., Pac, A., Papadopoulou, E., Pekkanen, J., Pizzi, C., Polanska, K., Porta, D., Richiardi, L., Rifas-Shiman, S. L., Roeleveld, N., Ronfani, L., Santos, A. C., Standl, M., Stigum, H., Stoltenberg, C., Thiering, E., Thijs, C., Torrent, M., Tough, S. C., Trnovec, T., Turner, S., van Gelder, M. M. H. J., van Rossem, L., von Berg, A., Vrijheid, M., Vrijkotte, T. G. M., West, J., Wijga, A. H., Wright, J., Zvinchuk, O., Sorensen, T. I. A., Lawlor, D. A., Gaillard, R., and Jaddoe, V. W. V.

Abstract

Objective To assess the separate and combined associations of maternal pre-pregnancy body mass index (BMI) and gestational weight gain with the risks of pregnancy complications and their population impact. Design Individual participant data meta-analysis of 39 cohorts. Setting Europe, North America, and Oceania. Population 265 270 births. Methods Information on maternal pre-pregnancy BMI, gestational weight gain, and pregnancy complications was obtained. Multilevel binary logistic regression models were used. Main outcome measures Gestational hypertension, pre-eclampsia, gestational diabetes, preterm birth, small and large for gestational age at birth. Results Higher maternal pre-pregnancy BMI and gestational weight gain were, across their full ranges, associated with higher risks of gestational hypertensive disorders, gestational diabetes, and large for gestational age at birth. Preterm birth risk was higher at lower and higher BMI and weight gain. Compared with normal weight mothers with medium gestational weight gain, obese mothers with high gestational weight gain had the highest risk of any pregnancy complication (odds ratio 2.51, 95% CI 2.31- 2.74). We estimated that 23.9% of any pregnancy complication was attributable to maternal overweight/obesity and 31.6% of large for gestational age infants was attributable to excessive gestational weight gain. Conclusions Maternal pre-pregnancy BMI and gestational weight gain are, across their full ranges, associated with risks of pregnancy complications. Obese mothers with high gestational weight gain are at the highest risk of pregnancy complications. Promoting a healthy pre-pregnancy BMI and gestational weight gain may reduce the burden of pregnancy complications and ultimately the risk of maternal and neonatal morbidity.

Published
2019

33. Impact of maternal body mass index and gestational weight gain on pregnancy complications:an individual participant data meta-analysis of European, North American and Australian cohorts

Author

Santos, S., Voerman, E., Amiano, P., Barros, H., Beilin, L. J., Bergstrom, A., Charles, M-A, Chatzi, L., Chevrier, C., Chrousos, G. P., Corpeleijn, E., Costa, O., Costet, N., Crozier, S., Devereux, G., Doyon, M., Eggesbo, M., Fantini, M. P., Farchi, S., Forastiere, F., Georgiu, V., Godfrey, K. M., Gori, D., Grote, V., Hanke, W., Hertz-Picciotto, I., Heude, B., Hivert, M-F, Hryhorczuk, D., Huang, R-C, Inskip, H., Karvonen, A. M., Kenny, L. C., Koletzko, B., Kupers, L. K., Lagstrom, H., Lehmann, I., Magnus, P., Majewska, R., Makela, J., Manios, Y., McAuliffe, F. M., McDonald, S. W., Mehegan, J., Melen, E., Mommers, M., Morgen, C. S., Moschonis, G., Murray, D., Ni Chaoimh, C., Nohr, E. A., Andersen, A-M Nybo, Oken, E., Oostvogels, A. J. J. M., Pac, A., Papadopoulou, E., Pekkanen, J., Pizzi, C., Polanska, K., Porta, D., Richiardi, L., Rifas-Shiman, S. L., Roeleveld, N., Ronfani, L., Santos, A. C., Standl, M., Stigum, H., Stoltenberg, C., Thiering, E., Thijs, C., Torrent, M., Tough, S. C., Trnovec, T., Turner, S., van Gelder, M. M. H. J., van Rossem, L., von Berg, A., Vrijheid, M., Vrijkotte, T. G. M., West, J., Wijga, A. H., Wright, J., Zvinchuk, O., Sørensen, T. I. A., Lawlor, D. A., Gaillard, R., Jaddoe, V. W. V., Santos, S., Voerman, E., Amiano, P., Barros, H., Beilin, L. J., Bergstrom, A., Charles, M-A, Chatzi, L., Chevrier, C., Chrousos, G. P., Corpeleijn, E., Costa, O., Costet, N., Crozier, S., Devereux, G., Doyon, M., Eggesbo, M., Fantini, M. P., Farchi, S., Forastiere, F., Georgiu, V., Godfrey, K. M., Gori, D., Grote, V., Hanke, W., Hertz-Picciotto, I., Heude, B., Hivert, M-F, Hryhorczuk, D., Huang, R-C, Inskip, H., Karvonen, A. M., Kenny, L. C., Koletzko, B., Kupers, L. K., Lagstrom, H., Lehmann, I., Magnus, P., Majewska, R., Makela, J., Manios, Y., McAuliffe, F. M., McDonald, S. W., Mehegan, J., Melen, E., Mommers, M., Morgen, C. S., Moschonis, G., Murray, D., Ni Chaoimh, C., Nohr, E. A., Andersen, A-M Nybo, Oken, E., Oostvogels, A. J. J. M., Pac, A., Papadopoulou, E., Pekkanen, J., Pizzi, C., Polanska, K., Porta, D., Richiardi, L., Rifas-Shiman, S. L., Roeleveld, N., Ronfani, L., Santos, A. C., Standl, M., Stigum, H., Stoltenberg, C., Thiering, E., Thijs, C., Torrent, M., Tough, S. C., Trnovec, T., Turner, S., van Gelder, M. M. H. J., van Rossem, L., von Berg, A., Vrijheid, M., Vrijkotte, T. G. M., West, J., Wijga, A. H., Wright, J., Zvinchuk, O., Sørensen, T. I. A., Lawlor, D. A., Gaillard, R., and Jaddoe, V. W. V.

Published
2019

35. Size-Selective Personal Air Sampling: A New Approach Using Porous Foams

Author

Möhlmann, C., Aitken, R. J., Kenny, L. C., Görner, P., Vuduc, T., Zambelli, G., Möhlmann, C., Aitken, R. J., Kenny, L. C., Görner, P., Vuduc, T., and Zambelli, G.

Abstract

Simultaneous sampling of three dust fractions (inhalable, thoracic, respirable) has been achieved using porous polyurethane foams, which serve both as selecting and sampling media. The particle penetration was measured in laboratory tests. Foam geometries were predicted using a semi-empirical model. Prototype samplers were constructed based on the IOM and GSP inhalable personal samplers. Weighing and chemical analysis procedures were checked for the foams

Published
2017

39. Critical review of reporting of the data analysis step in metabolomics.

Author

Considine, E. C., Thomas, G., Boulesteix, A. L., Khashan, A. S., and Kenny, L. C.

Subjects
METABOLOMICS, BIOINFORMATICS, MULTIVARIATE analysis, BIOMARKERS, BLOOD serum analysis
Abstract

Introduction: We present the first study to critically appraise the quality of reporting of the data analysis step in metabolomics studies since the publication of minimum reporting guidelines in 2007. Objectives: The aim of this study was to assess the standard of reporting of the data analysis step in metabolomics biomarker discovery studies and to investigate whether the level of detail supplied allows basic understanding of the steps employed and/or reuse of the protocol. For the purposes of this review we define the data analysis step to include the data pretreatment step and the actual data analysis step, which covers algorithm selection, univariate analysis and multivariate analysis. Method: We reviewed the literature to identify metabolomic studies of biomarker discovery that were published between January 2008 and December 2014. Studies were examined for completeness in reporting the various steps of the data pretreatment phase and data analysis phase and also for clarity of the workflow of these sections. Results: We analysed 27 papers, published anytime in 2008 until the end of 2014 in the area or biomarker discovery in serum metabolomics. The results of this review showed that the data analysis step in metabolomics biomarker discovery studies is plagued by unclear and incomplete reporting. Major omissions and lack of logical flow render the data analysis' workflows in these studies impossible to follow and therefore replicate or even imitate. Conclusions: While we await the holy grail of computational reproducibility in data analysis to become standard, we propose that, at a minimum, the data analysis section of metabolomics studies should be readable and interpretable without omissions such that a data analysis workflow diagram could be extrapolated from the study and therefore the data analysis protocol could be reused by the reader. That inconsistent and patchy reporting obfuscates reproducibility is a given. However even basic understanding and reuses of protocols are hampered by the low level of detail supplied in the data analysis sections of the studies that we reviewed. [ABSTRACT FROM AUTHOR]

Published
2018
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40. STRIDER (Sildenafil TheRapy in dismal prognosis early onset fetal growth restriction): an international consortium of randomised placebo-controlled trials.

Author

Pels, A., Kenny, L. C., Alfirevic, Z., Baker, P. N., von Dadelszen, Peter, Gluud, C., Kariya, C. T., Mol, B. W., Papageorghiou, A. T., van Wassenaer-Leemhuis, A. G., Ganzevoort, W., Groom, K. M., and international STRIDER Consortium

Subjects
*PROGNOSIS, *PREECLAMPSIA, *FETAL development, *PLACEBOS, *HEALTH outcome assessment
Abstract

Background: Severe, early-onset fetal growth restriction due to placental insufficiency is associated with a high risk of perinatal mortality and morbidity with long-lasting sequelae. Placental insufficiency is the result of abnormal formation and function of the placenta with inadequate remodelling of the maternal spiral arteries. There is currently no effective therapy available. Some evidence suggests sildenafil citrate may improve uteroplacental blood flow, fetal growth, and meaningful infant outcomes. The objective of the Sildenafil TheRapy In Dismal prognosis Early onset fetal growth Restriction (STRIDER) collaboration is to evaluate the effectiveness of sildenafil versus placebo in achieving healthy perinatal survival through the conduct of randomised clinical trials and systematic review including individual patient data meta-analysis.Methods: Five national/bi-national multicentre randomised placebo-controlled trials have been launched. Women with a singleton pregnancy between 18 and 30 weeks with severe fetal growth restriction of likely placental origin, and where the likelihood of perinatal death/severe morbidity is estimated to be significant are included. Participants will receive either sildenafil 25 mg or matching placebo tablets orally three times daily from recruitment to 32 weeks gestation.Discussion: The STRIDER trials were conceived and designed through international collaboration. Although the individual trials have different primary outcomes for reasons of sample size and feasibility, all trials will collect a standard set of outcomes including survival without severe neonatal morbidity at time of hospital discharge. This is a summary of all the STRIDER trial protocols and provides an example of a prospectively planned international clinical research collaboration. All five individual trials will contribute to a pre-planned systematic review of the topic including individual patient data meta-analysis.Trial Registrations: New Zealand and Australia: ACTRN12612000584831 . Registered 30/05/2012. Canada: NCT02442492 . Registered 05/05/2015. Ireland: CT 900/572/1 . Registered 15/07/2015. The Netherlands: NCT02277132 . Registered 29/09/2014. United Kingdom: ISRCTN39133303 . Registered 31/07/2014. [ABSTRACT FROM AUTHOR]

Published
2017
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50. Early pregnancy

Author

Zeadna, A., primary, Holzer, H., additional, Son, W. Y., additional, Demirtas, E., additional, Reinblatt, S., additional, Dahan, M. H., additional, Colleselli, V., additional, D'Costa, E., additional, Wildt, L., additional, Seeber, B., additional, Kashevarova, A. A., additional, Skryabin, N. A., additional, Nikitina, T. V., additional, Lebedev, I. N., additional, Bordignon, P. P., additional, Mugione, A., additional, Vanni, V. S., additional, Vigano, P., additional, Papaleo, E., additional, Candiani, M., additional, Somigliana, E., additional, Amodio, G., additional, Gregori, S., additional, Guo, Y. H., additional, Li, R., additional, Wang, L. L., additional, Chen, S. L., additional, Chen, X., additional, Guo, W., additional, Ye, D. S., additional, Liu, Y. D., additional, Renzini, M. M., additional, Dal Canto, M., additional, Coticchio, G., additional, Comi, R., additional, Brigante, C., additional, Caliari, I., additional, Brambillasca, F., additional, Merola, M., additional, Lain, M., additional, Turchi, D., additional, Karagouga, G., additional, Sottocornola, M., additional, Fadini, R., additional, Wekker, M. Z., additional, Mol, F., additional, van Wely, M., additional, Ankum, W. M., additional, Mol, B. W., additional, van der Veen, F., additional, Hajenius, P. J., additional, van Mello, N. M., additional, Verlengia, C., additional, Alviggi, E., additional, Rampini, M. R., additional, Alfano, P., additional, Pergolini, I., additional, Marconi, D., additional, Iacobelli, N., additional, Muzi, M. C., additional, Gelli, G., additional, Alviggi, C., additional, Colicchia, A., additional, Herraiz-Nicuesa, L., additional, Tejera-Alhambra, M., additional, Garcia-Segovia, A., additional, Ramos-Medina, R., additional, Alonso, B., additional, Gil-Pulido, J., additional, Martin, L., additional, Caballero, M., additional, Rodriguez-Mahou, M., additional, Sanchez-Ramon, S., additional, de Jong, P. G., additional, Kaandorp, S. P., additional, Di Nisio, M., additional, Goddijn, M., additional, Middeldorp, S., additional, Lledo, B., additional, Turienzo, A., additional, Ortiz, J. A., additional, Morales, R., additional, Ten, J., additional, Llacer, J., additional, Bernabeu, R., additional, Gil, J., additional, Leon, J. A., additional, Seyfferth, A., additional, Aguaron, A., additional, Alonso, J., additional, de Albornoz, E. C., additional, Carbone, J., additional, Caballero, P., additional, Fernandez-Cruz, E., additional, Ortiz-Quintana, L., additional, Lou, Y. Y., additional, Jin, F., additional, Zheng, Y. M., additional, Li, L. J., additional, Le, F., additional, Wang, L. Y., additional, Liu, S. Y., additional, Pan, P. P., additional, Hu, C. X., additional, Akoum, A., additional, Bourdiec, A., additional, Shao, R., additional, Rao, C. V., additional, Scarpellini, F., additional, Sbracia, M., additional, Jancar, N., additional, Bokal, E. V., additional, Ban-Frangez, H., additional, Drobnic, S., additional, Korosec, S., additional, Pinter, B., additional, Salamun, V., additional, Yamaguchi, M., additional, Honda, R., additional, Uchino, K., additional, Ohba, T., additional, Katabuchi, H., additional, Leylek, O., additional, Tiras, B., additional, Saltik, A. Y. S. E., additional, Halicigil, C., additional, Kavci, N., additional, Wiser, A., additional, Gilbert, A., additional, Nahum, R., additional, Orvieto, R., additional, Hass, J., additional, Hourvitz, A., additional, Weissman, A., additional, Younes, G., additional, Dirnfeld, M., additional, Hershko, A., additional, Shulma, A., additional, Shalom-Paz, E., additional, Tulandi, T., additional, O'Neill, S. M., additional, Agerbo, E., additional, Kenny, L. C., additional, Henriksen, T. B., additional, Kearney, P. M., additional, Greene, R. A., additional, Mortensen, P. B., additional, Khashan, A. S., additional, Talaulikar, V. S., additional, Bax, B. E., additional, Manyonda, I., additional, and Van Mello, N., additional

Published
2013
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