Search

Your search keyword '"Fantini, M.P."' showing total 174 results
Start Over Author "Fantini, M.P."
174 results on '"Fantini, M.P."'

1. Attitudes towards compulsory vaccination in Italy: Results from the NAVIDAD multicentre study

Author

Castaldi, S., Di Donna, F., Di Martino, G., Genovese, C., Golfera, M., Gori, D., Greco, P., Loperto, I., Miduri, A., Olivero, E., Prospero, E., Quattrocolo, F., Rossello, P., Rosso, A., Sisti, L.G., Stracci, F., Zappalà, G., Gualano, M.R., Bert, F., Voglino, G., Buttinelli, E., D'Errico, M.M., De Waure, C., Di Giovanni, P., Fantini, M.P., Giuliani, A.R., Marranzano, M., Masanotti, G., Massimi, A., Nante, N., Pennino, F., Squeri, R., Stefanati, A., Signorelli, C., and Siliquini, R.

Published
2018
Full Text
View/download PDF

6. Shared DNA methylation signatures in childhood allergy: The MeDALL study

Author

Xu, C., Gruzieva, O., Qi, C., Esplugues, A., Gehring, U., Bergström, A., Mason, D., Chatzi, L., Porta, D., Carlsen, K.C.L., Baïz, N., Madore, A.M., Alenius, H., Rijkom, B. van, Jankipersadsing, S.A., Vlies, P., Kull, I., Hage, M., Bustamante, M, Lertxundi, A., Torrent, M., Santorelli, G., Fantini, M.P., Hovland, V., Pesce, G., Fyhrquist, N., Laatikainen, T., Nawijn, M.C., Li, Y., Wijmenga, C., Netea, M.G., Bousquet, J., Anto, J.M., Laprise, C., Haahtela, T., Annesi-Maesano, I., Carlsen, K.H., Gori, D., Kogevinas, M., Wright, J., Söderhäll, C., Vonk, J.M., Sunyer, J., Melén, E., Koppelman, G.H., Xu, C., Gruzieva, O., Qi, C., Esplugues, A., Gehring, U., Bergström, A., Mason, D., Chatzi, L., Porta, D., Carlsen, K.C.L., Baïz, N., Madore, A.M., Alenius, H., Rijkom, B. van, Jankipersadsing, S.A., Vlies, P., Kull, I., Hage, M., Bustamante, M, Lertxundi, A., Torrent, M., Santorelli, G., Fantini, M.P., Hovland, V., Pesce, G., Fyhrquist, N., Laatikainen, T., Nawijn, M.C., Li, Y., Wijmenga, C., Netea, M.G., Bousquet, J., Anto, J.M., Laprise, C., Haahtela, T., Annesi-Maesano, I., Carlsen, K.H., Gori, D., Kogevinas, M., Wright, J., Söderhäll, C., Vonk, J.M., Sunyer, J., Melén, E., and Koppelman, G.H.

Abstract

Contains fulltext : 232514.pdf (Publisher’s version ) (Open Access), BACKGROUND: Differential DNA methylation associated with allergy might provide novel insights into the shared or unique etiology of asthma, rhinitis, and eczema. OBJECTIVE: We sought to identify DNA methylation profiles associated with childhood allergy. METHODS: Within the European Mechanisms of the Development of Allergy (MeDALL) consortium, we performed an epigenome-wide association study of whole blood DNA methylation by using a cross-sectional design. Allergy was defined as having symptoms from at least 1 allergic disease (asthma, rhinitis, or eczema) and positive serum-specific IgE to common aeroallergens. The discovery study included 219 case patients and 417 controls at age 4 years and 228 case patients and 593 controls at age 8 years from 3 birth cohorts, with replication analyses in 325 case patients and 1111 controls. We performed additional analyses on 21 replicated sites in 785 case patients and 2124 controls by allergic symptoms only from 8 cohorts, 3 of which were not previously included in analyses. RESULTS: We identified 80 differentially methylated CpG sites that showed a 1% to 3% methylation difference in the discovery phase, of which 21 (including 5 novel CpG sites) passed genome-wide significance after meta-analysis. All 21 CpG sites were also significantly differentially methylated with allergic symptoms and shared between asthma, rhinitis, and eczema. The 21 CpG sites mapped to relevant genes, including ACOT7, LMAN3, and CLDN23. All 21 CpG sties were differently methylated in asthma in isolated eosinophils, and 10 were replicated in respiratory epithelium. CONCLUSION: Reduced whole blood DNA methylation at 21 CpG sites was significantly associated with childhood allergy. The findings provide novel insights into the shared molecular mechanisms underlying asthma, rhinitis, and eczema.

Published
2021

8. Changes in parental smoking during pregnancy and risks of adverse birth outcomes and childhood overweight in Europe and North America: An individual participant data meta-analysis of 229,000 singleton births

Author

Philips, E.M. Santos, S. Trasande, L. Aurrekoetxea, J.J. Barros, H. von Berg, A. Bergström, A. Bird, P.K. Brescianini, S. Chaoimh, C.N. Charles, M.-A. Chatzi, L. Chevrier, C. Chrousos, G.P. Costet, N. Criswell, R. Crozier, S. Eggesbø, M. Fantini, M.P. Farchi, S. Forastiere, F. van Gelder, M.M.H.J. Georgiu, V. Godfrey, K.M. Gori, D. Hanke, W. Heude, B. Hryhorczuk, D. Iñiguez, C. Inskip, H. Karvonen, A.M. Kenny, L.C. Kull, I. Lawlor, D.A. Lehmann, I. Magnus, P. Manios, Y. Melén, E. Mommers, M. Morgen, C.S. Moschonis, G. Murray, D. Nohr, E.A. Nybo Andersen, A.-M. Oken, E. Oostvogels, A.J.J.M. Papadopoulou, E. Pekkanen, J. Pizzi, C. Polanska, K. Porta, D. Richiardi, L. Rifas-Shiman, S.L. Roeleveld, N. Rusconi, F. Santos, A.C. Sørensen, T.I.A. Standl, M. Stoltenberg, C. Sunyer, J. Thiering, E. Thijs, C. Torrent, M. Vrijkotte, T.G.M. Wright, J. Zvinchuk, O. Gaillard, R. Jaddoe, V.W.V.

Abstract

Background Fetal smoke exposure is a common and key avoidable risk factor for birth complications and seems to influence later risk of overweight. It is unclear whether this increased risk is also present if mothers smoke during the first trimester only or reduce the number of cigarettes during pregnancy, or when only fathers smoke. We aimed to assess the associations of parental smoking during pregnancy, specifically of quitting or reducing smoking and maternal and paternal smoking combined, with preterm birth, small size for gestational age, and childhood overweight. Methods and findings We performed an individual participant data meta-analysis among 229,158 families from 28 pregnancy/birth cohorts from Europe and North America. All 28 cohorts had information on maternal smoking, and 16 also had information on paternal smoking. In total, 22 cohorts were population-based, with birth years ranging from 1991 to 2015. The mothers’ median age was 30.0 years, and most mothers were medium or highly educated. We used multilevel binary logistic regression models adjusted for maternal and paternal sociodemographic and lifestyle-related characteristics. Compared with nonsmoking mothers, maternal first trimester smoking only was not associated with adverse birth outcomes but was associated with a higher risk of childhood overweight (odds ratio [OR] 1.17 [95% CI 1.02–1.35], P value = 0.030). Children from mothers who continued smoking during pregnancy had higher risks of preterm birth (OR 1.08 [95% CI 1.02–1.15], P value = 0.012), small size for gestational age (OR 2.15 [95% CI 2.07–2.23], P value < 0.001), and childhood overweight (OR 1.42 [95% CI 1.35–1.48], P value < 0.001). Mothers who reduced the number of cigarettes between the first and third trimester, without quitting, still had a higher risk of small size for gestational age. However, the corresponding risk estimates were smaller than for women who continued the same amount of cigarettes throughout pregnancy (OR 1.89 [95% CI 1.52–2.34] instead of OR 2.20 [95% CI 2.02–2.42] when reducing from 5–9 to ≤4 cigarettes/day; OR 2.79 [95% CI 2.39–3.25] and OR 1.93 [95% CI 1.46–2.57] instead of OR 2.95 [95% CI 2.75–3.15] when reducing from ≥10 to 5–9 and ≤4 cigarettes/day, respectively [P values < 0.001]). Reducing the number of cigarettes during pregnancy did not affect the risks of preterm birth and childhood overweight. Among nonsmoking mothers, paternal smoking was associated with childhood overweight (OR 1.21 [95% CI 1.16–1.27], P value < 0.001) but not with adverse birth outcomes. Limitations of this study include the self-report of parental smoking information and the possibility of residual confounding. As this study only included participants from Europe and North America, results need to be carefully interpreted regarding other populations. Conclusions We observed that as compared to nonsmoking during pregnancy, quitting smoking in the first trimester is associated with the same risk of preterm birth and small size for gestational age, but with a higher risk of childhood overweight. Reducing the number of cigarettes, without quitting, has limited beneficial effects. Paternal smoking seems to be associated, independently of maternal smoking, with the risk of childhood overweight. Population strategies should focus on parental smoking prevention before or at the start, rather than during, pregnancy. © 2020 Philips et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Published
2020

9. Changes in parental smoking during pregnancy and risks of adverse birth outcomes and childhood overweight in Europe and North America

Author

Philips, E.M. (Elise), Santos, S.M.S. (Susana), Trasande, L. (Leonardo), Aurrekoetxea, J.J. (Juan José), Barros, A.I. (Ana), Berg, A. (Andrea) von, Bergström, A. (Anna), Bird, P.K. (Philippa K.), Brescianini, S. (Sonia), Ní Chaoimh, C. (Carol), Charles, M.A., Chatzi, L. (Leda), Chevrier, C. (Cécile), Chrousos, G.P., Costet, N. (Nathalie), Criswell, R. (Rachel), Crozier, S. (Sarah), Eggesbø, M. (Merete), Fantini, M.P. (Maria), Farchi, S. (Sara), Forastiere, F. (Francesco), van Gelder, M.M.H.J. (Marleen M H J), Georgiu, V. (Vagelis), Godfrey, N., Gori, D. (Davide), Hanke, W. (Wojciech), Heude, B. (Barbara), Hryhorczuk, D.O. (Daniel), Iñiguez, C. (Carmen), Inskip, H.M. (Hazel), Karvonen, S.L., Kenny, L.C. (Louise C.), Kull, C.A. (Christian), Lawlor, D.A. (Debbie), Lehmann, I. (Irina), Magnus, P. (Per), Manios, Y., Melén, E. (Erik), Mommers, M. (Monique), Morgen, C.S. (Camilla S.), Moschonis, G. (George), Murray, D. (Deirdre), Nohr, C. (Christian), Nybo Andersen, A.-M. (Anne-Marie), Oken, E. (Emily), Oostvogels, A.J.J.M. (Adriëtte J J M), Papadopoulou, E. (Eleni), Pekkanen, J. (Juha), Pizzi, C. (Costanza), Polanska, K. (Kinga), Porta, D. (Daniela), Richiardi, L. (Lorenzo), Rifas-Shiman, S.L. (Sheryl), Roeleveld, N. (Nel), Rusconi, F. (Franca), Santos, A.C. (Ana Cristina), Sørensen, T.I.A. (Thorkild), Standl, M. (Marie), Stoltenberg, C. (Camilla), Sunyer, J. (Jordi), Thiering, E. (Elisabeth), Thijs, C. (Carel), Torrent, M. (Maties), Vrijkotte, T.G.M. (Tanja), Wright, J. (John), Zvinchuk, O. (Oleksandr), Gaillard, R. (Romy), Jaddoe, V.W.V. (Vincent), Philips, E.M. (Elise), Santos, S.M.S. (Susana), Trasande, L. (Leonardo), Aurrekoetxea, J.J. (Juan José), Barros, A.I. (Ana), Berg, A. (Andrea) von, Bergström, A. (Anna), Bird, P.K. (Philippa K.), Brescianini, S. (Sonia), Ní Chaoimh, C. (Carol), Charles, M.A., Chatzi, L. (Leda), Chevrier, C. (Cécile), Chrousos, G.P., Costet, N. (Nathalie), Criswell, R. (Rachel), Crozier, S. (Sarah), Eggesbø, M. (Merete), Fantini, M.P. (Maria), Farchi, S. (Sara), Forastiere, F. (Francesco), van Gelder, M.M.H.J. (Marleen M H J), Georgiu, V. (Vagelis), Godfrey, N., Gori, D. (Davide), Hanke, W. (Wojciech), Heude, B. (Barbara), Hryhorczuk, D.O. (Daniel), Iñiguez, C. (Carmen), Inskip, H.M. (Hazel), Karvonen, S.L., Kenny, L.C. (Louise C.), Kull, C.A. (Christian), Lawlor, D.A. (Debbie), Lehmann, I. (Irina), Magnus, P. (Per), Manios, Y., Melén, E. (Erik), Mommers, M. (Monique), Morgen, C.S. (Camilla S.), Moschonis, G. (George), Murray, D. (Deirdre), Nohr, C. (Christian), Nybo Andersen, A.-M. (Anne-Marie), Oken, E. (Emily), Oostvogels, A.J.J.M. (Adriëtte J J M), Papadopoulou, E. (Eleni), Pekkanen, J. (Juha), Pizzi, C. (Costanza), Polanska, K. (Kinga), Porta, D. (Daniela), Richiardi, L. (Lorenzo), Rifas-Shiman, S.L. (Sheryl), Roeleveld, N. (Nel), Rusconi, F. (Franca), Santos, A.C. (Ana Cristina), Sørensen, T.I.A. (Thorkild), Standl, M. (Marie), Stoltenberg, C. (Camilla), Sunyer, J. (Jordi), Thiering, E. (Elisabeth), Thijs, C. (Carel), Torrent, M. (Maties), Vrijkotte, T.G.M. (Tanja), Wright, J. (John), Zvinchuk, O. (Oleksandr), Gaillard, R. (Romy), and Jaddoe, V.W.V. (Vincent)

Abstract

BACKGROUND: Fetal smoke exposure is a common and key avoidable risk factor for birth complications and seems to influence later risk of overweight. It is unclear whether this increased risk is also present if mothers smoke during the first trimester only or reduce the number of cigarettes during pregnancy, or when only fathers smoke. We aimed to assess the associations of parental smoking during pregnancy, specifically of quitting or reducing smoking and maternal and paternal smoking combined, with preterm birth, small size for gestational age, and childhood overweight. METHODS AND FINDINGS: We performed an individual participant data meta-analysis among 229,158 families from 28 pregnancy/birth cohorts from Europe and North America. All 28 cohorts had information on maternal smoking, and 16 also had information on paternal smoking. In total, 22 cohorts were population-based, with birth years ranging from 1991 to 2015. The mothers' median age was 30.0 years, and most mothers were medium or highly educated. We used multilevel binary logistic regression models adjusted for maternal and paternal sociodemographic and lifestyle-related characteristics. Compared with nonsmoking mothers, maternal first trimester smoking only was not associated with adverse birth outcomes but was associated with a higher risk of childhood overweight (odds ratio [OR] 1.17 [95% CI 1.02-1.35], P value = 0.030). Children from mothers who continued smoking during pregnancy had higher risks of preterm birth (OR 1.08 [95% CI 1.02-1.15], P value = 0.012), small size for gestational age (OR 2.15 [95% CI 2.07-2.23], P value < 0.001), and childhood overweight (OR 1.42 [95% CI 1.35-1.48], P value < 0.001). Mothers who reduced the number of cigarettes between the first and third trimester, without quitting, still had a higher risk of small size for gestational age. However, the corresponding risk estimates were smaller than for women who continued the same amount of cigarettes throughout pregnancy (OR 1.

Published
2020
Full Text
View/download PDF

10. Changes in parental smoking during pregnancy and risks of adverse birth outcomes and childhood overweight in Europe and North America: An individual participant data meta-analysis of 229,000 singleton births

Author

Philips, E.M., Santos, S., Trasande, L., Aurrekoetxea, J.J., Barros, H., von Berg, A., Bergström, A., Bird, P.K., Brescianini, S., Ní Chaoimh, C., Charles, M.-A., Chatzi, L., Chevrier, C., Chrousos, G.P., Costet, N., Criswell, R., Crozier, S., Eggesbø, M., Fantini, M.P., Farchi, S., Forastiere, F., van Gelder, M.M.H.J., Georgiu, V., Godfrey, K.M., Gori, D., Hanke, W., Heude, B., Hryhorczuk, D., Iñiguez, C., Inskip, H., Karvonen, A.M., Kenny, L.C., Kull, I., Lawlor, D.A., Lehmann, Irina, Magnus, P., Manios, Y., Melén, E., Mommers, M., Morgen, C.S., Moschonis, G., Murray, D., Nohr, E.A., Nybo Andersen, A.-M., Oken, E., Oostvogels, A.J.J.M., Papadopoulou, E., Pekkanen, J., Pizzi, C., Polanska, K., Porta, D., Richiardi, L., Rifas‐Shiman, S.L., Roeleveld, N., Rusconi, F., Santos, A.C., Sørensen, T.I.A., Standl, M., Stoltenberg, C., Sunyer, J., Thiering, E., Thijs, C., Torrent, M., Vrijkotte, T.G.M., Wright, J., Zvinchuk, O., Gaillard, R., Jaddoe, V.W.V., Philips, E.M., Santos, S., Trasande, L., Aurrekoetxea, J.J., Barros, H., von Berg, A., Bergström, A., Bird, P.K., Brescianini, S., Ní Chaoimh, C., Charles, M.-A., Chatzi, L., Chevrier, C., Chrousos, G.P., Costet, N., Criswell, R., Crozier, S., Eggesbø, M., Fantini, M.P., Farchi, S., Forastiere, F., van Gelder, M.M.H.J., Georgiu, V., Godfrey, K.M., Gori, D., Hanke, W., Heude, B., Hryhorczuk, D., Iñiguez, C., Inskip, H., Karvonen, A.M., Kenny, L.C., Kull, I., Lawlor, D.A., Lehmann, Irina, Magnus, P., Manios, Y., Melén, E., Mommers, M., Morgen, C.S., Moschonis, G., Murray, D., Nohr, E.A., Nybo Andersen, A.-M., Oken, E., Oostvogels, A.J.J.M., Papadopoulou, E., Pekkanen, J., Pizzi, C., Polanska, K., Porta, D., Richiardi, L., Rifas‐Shiman, S.L., Roeleveld, N., Rusconi, F., Santos, A.C., Sørensen, T.I.A., Standl, M., Stoltenberg, C., Sunyer, J., Thiering, E., Thijs, C., Torrent, M., Vrijkotte, T.G.M., Wright, J., Zvinchuk, O., Gaillard, R., and Jaddoe, V.W.V.

Abstract

Background Fetal smoke exposure is a common and key avoidable risk factor for birth complications and seems to influence later risk of overweight. It is unclear whether this increased risk is also present if mothers smoke during the first trimester only or reduce the number of cigarettes during pregnancy, or when only fathers smoke. We aimed to assess the associations of parental smoking during pregnancy, specifically of quitting or reducing smoking and maternal and paternal smoking combined, with preterm birth, small size for gestational age, and childhood overweight. Methods and findings We performed an individual participant data meta-analysis among 229,158 families from 28 pregnancy/birth cohorts from Europe and North America. All 28 cohorts had information on maternal smoking, and 16 also had information on paternal smoking. In total, 22 cohorts were population-based, with birth years ranging from 1991 to 2015. The mothers’ median age was 30.0 years, and most mothers were medium or highly educated. We used multilevel binary logistic regression models adjusted for maternal and paternal sociodemographic and lifestyle-related characteristics. Compared with nonsmoking mothers, maternal first trimester smoking only was not associated with adverse birth outcomes but was associated with a higher risk of childhood overweight (odds ratio [OR] 1.17 [95% CI 1.02–1.35], P value = 0.030). Children from mothers who continued smoking during pregnancy had higher risks of preterm birth (OR 1.08 [95% CI 1.02–1.15], P value = 0.012), small size for gestational age (OR 2.15 [95% CI 2.07–2.23], P value < 0.001), and childhood overweight (OR 1.42 [95% CI 1.35–1.48], P value < 0.001). Mothers who reduced the number of cigarettes between the first and third trimester, without quitting, still had a higher risk of small size for gestational age. However, the corresponding risk estimates were smaller than for women who continued the same amount of cigarettes throughout preg

Published
2020

12. 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. Bergström, A. Charles, M.-A. Chatzi, L. Chevrier, C. Chrousos, G.P. Corpeleijn, E. Costa, O. Costet, N. Crozier, S. Devereux, G. Doyon, M. Eggesbø, 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. Küpers, L.K. Lagström, H. Lehmann, I. Magnus, P. Majewska, R. Mäkelä, J. Manios, Y. McAuliffe, F.M. McDonald, S.W. Mehegan, J. Melén, E. Mommers, M. Morgen, C.S. Moschonis, G. Murray, D. Ní Chaoimh, C. Nohr, E.A. Nybo Andersen, A.-M. 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.

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. Tweetable abstract: Promoting a healthy body mass index and gestational weight gain might reduce the population burden of pregnancy complications. © 2019 Royal College of Obstetricians and Gynaecologists

Published
2019

13. Association of Gestational Weight Gain With Adverse Maternal and Infant Outcomes

Author

LifeCycle Project-Maternal Obesity Childhood Outcomes Study Group Voerman, E. Santos, S. Inskip, H. Amiano, P. Barros, H. Charles, M.-A. Chatzi, L. Chrousos, G.P. Corpeleijn, E. Crozier, S. Doyon, M. Eggesbø, M. Fantini, M.P. Farchi, S. Forastiere, F. Georgiu, V. Gori, D. Hanke, W. Hertz-Picciotto, I. Heude, B. Hivert, M.-F. Hryhorczuk, D. Iñiguez, C. Karvonen, A.M. Küpers, L.K. Lagström, H. Lawlor, D.A. Lehmann, I. Magnus, P. Majewska, R. Mäkelä, J. Manios, Y. Mommers, M. Morgen, C.S. Moschonis, G. Nohr, E.A. Nybo Andersen, A.-M. Oken, E. 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. Trnovec, T. van Gelder, M.M.H.J. van Rossem, L. von Berg, A. Vrijheid, M. Wijga, A. Zvinchuk, O. Sørensen, T.I.A. Godfrey, K. Jaddoe, V.W.V. Gaillard, R.

Abstract

Importance: Both low and high gestational weight gain have been associated with adverse maternal and infant outcomes, but optimal gestational weight gain remains uncertain and not well defined for all prepregnancy weight ranges. Objectives: To examine the association of ranges of gestational weight gain with risk of adverse maternal and infant outcomes and estimate optimal gestational weight gain ranges across prepregnancy body mass index categories. Design, Setting, and Participants: Individual participant-level meta-analysis using data from 196 670 participants within 25 cohort studies from Europe and North America (main study sample). Optimal gestational weight gain ranges were estimated for each prepregnancy body mass index (BMI) category by selecting the range of gestational weight gain that was associated with lower risk for any adverse outcome. Individual participant-level data from 3505 participants within 4 separate hospital-based cohorts were used as a validation sample. Data were collected between 1989 and 2015. The final date of follow-up was December 2015. Exposures: Gestational weight gain. Main Outcomes and Measures: The main outcome termed any adverse outcome was defined as the presence of 1 or more of the following outcomes: preeclampsia, gestational hypertension, gestational diabetes, cesarean delivery, preterm birth, and small or large size for gestational age at birth. Results: Of the 196 670 women (median age, 30.0 years [quartile 1 and 3, 27.0 and 33.0 years] and 40 937 were white) included in the main sample, 7809 (4.0%) were categorized at baseline as underweight (BMI

Published
2019

14. Couples living with type 1 diabetes : an integrative review of the impacts on health and wellbeing

Author

Messina, A., Due-Christensen, M., Keller-Senn, Anita, Polek, E., Fantini, M.P., Sturt, J., Messina, A., Due-Christensen, M., Keller-Senn, Anita, Polek, E., Fantini, M.P., and Sturt, J.

Abstract

Impacts of type 1 diabetes and relationship factors on health and wellbeing of both persons with diabetes and partners (T1D partners) have not been investigated. Integrative review methods evaluated the evidence. From 323 titles, we included 24 studies involving 16,083 persons with diabetes and 1020 T1D partners. Studies were quantitative (n = 13), qualitative (n = 9) and mixed methods (n = 2). Maintaining resilient, good quality, intimate relationships optimises physical and psychological outcomes for persons with diabetes. Partners experience disturbed sleep and while general psychological health is maintained, distress surrounding hypoglycaemia is overwhelming for over a third of partners. Nurturing quality relationships could reap significant health benefits.

Published
2019

15. Association of gestational weight gain with adverse maternal and infant outcomes

Author

Voerman, E., Santos, S., Inskip, H., Amiano, P., Barros, H., Charles, M.-A., Chatzi, L., Chrousos, G.P., Corpeleijn, E., Crozier, S., Doyon, M., Eggesbø, M., Fantini, M.P., Farchi, S., Forastiere, F., Georgiu, V., Gori, D., Hanke, W., Hertz-Picciotto, I., Heude, B., Hivert, M.-F., Hryhorczuk, D., Iniguez, C., Karvonen, A.M., Kupers, L.K., Lagström, H., Lawlor, D.A., Lehmann, Irina, Magnus, P., Majewska, R., Mäkelä, J., Manios, Y., Mommers, M., Morgen, C.S., Moschonis, G., Nohr, E.A., Nybo Andersen, A.-M., Oken, E., 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., Trnovec, T., van Gelder, M.M.H.J., van Rossem, L., von Berg, A., Vijheid, M., Wijga, A., Zvinchuk, O., Sørensen, T.I.A., Godfrey, K., Jaddoe, V.W.V., Gaillard, R., Voerman, E., Santos, S., Inskip, H., Amiano, P., Barros, H., Charles, M.-A., Chatzi, L., Chrousos, G.P., Corpeleijn, E., Crozier, S., Doyon, M., Eggesbø, M., Fantini, M.P., Farchi, S., Forastiere, F., Georgiu, V., Gori, D., Hanke, W., Hertz-Picciotto, I., Heude, B., Hivert, M.-F., Hryhorczuk, D., Iniguez, C., Karvonen, A.M., Kupers, L.K., Lagström, H., Lawlor, D.A., Lehmann, Irina, Magnus, P., Majewska, R., Mäkelä, J., Manios, Y., Mommers, M., Morgen, C.S., Moschonis, G., Nohr, E.A., Nybo Andersen, A.-M., Oken, E., 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., Trnovec, T., van Gelder, M.M.H.J., van Rossem, L., von Berg, A., Vijheid, M., Wijga, A., Zvinchuk, O., Sørensen, T.I.A., Godfrey, K., Jaddoe, V.W.V., and Gaillard, R.

Abstract

Importance  Both low and high gestational weight gain have been associated with adverse maternal and infant outcomes, but optimal gestational weight gain remains uncertain and not well defined for all prepregnancy weight ranges.Objectives  To examine the association of ranges of gestational weight gain with risk of adverse maternal and infant outcomes and estimate optimal gestational weight gain ranges across prepregnancy body mass index categories.Design, Setting, and Participants  Individual participant-level meta-analysis using data from 196 670 participants within 25 cohort studies from Europe and North America (main study sample). Optimal gestational weight gain ranges were estimated for each prepregnancy body mass index (BMI) category by selecting the range of gestational weight gain that was associated with lower risk for any adverse outcome. Individual participant-level data from 3505 participants within 4 separate hospital-based cohorts were used as a validation sample. Data were collected between 1989 and 2015. The final date of follow-up was December 2015.Exposures  Gestational weight gain.Main Outcomes and Measures  The main outcome termed any adverse outcome was defined as the presence of 1 or more of the following outcomes: preeclampsia, gestational hypertension, gestational diabetes, cesarean delivery, preterm birth, and small or large size for gestational age at birth.Results  Of the 196 670 women (median age, 30.0 years [quartile 1 and 3, 27.0 and 33.0 years] and 40 937 were white) included in the main sample, 7809 (4.0%) were categorized at baseline as underweight (BMI <18.5); 133 788 (68.0%), normal weight (BMI, 18.5-24.9); 38 828 (19.7%), overweight (BMI, 25.0-29.9); 11 992 (6.1%), obesity grade 1 (BMI, 30.0-34.9); 3284 (1.7%), obesity grade 2 (BMI, 35.0-39.9); and 969 (0.5%), obesity grade 3 (BMI, ≥40.0). Overall, any adverse outcome occurred in 37.2% (n = 73 161) of women, ranging fro

Published
2019

16. 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., Bergström, A., Charles, M.-A., Chatzi, L., Chevrier, C., Chrousos, G.P., Corpeleijn, E., Costa, O., Costet, N., Crozier, S., Devereux, G., Doyon, M., Eggesbø, 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., Küpers, L.K., Lagström, H., Lehmann, Irina, Magnus, P., Majewska, R., Mäkelä, J., Manios, Y., McAuliffe, F.M., McDonald, S.W., Mehegan, J., Melén, E., Mommers, M., Morgen, C.S., Moschonis, G., Murray, D., Ní Chaoimh, C., Nohr, E.A., Nybo Andersen, A.-M., 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., Bergström, A., Charles, M.-A., Chatzi, L., Chevrier, C., Chrousos, G.P., Corpeleijn, E., Costa, O., Costet, N., Crozier, S., Devereux, G., Doyon, M., Eggesbø, 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., Küpers, L.K., Lagström, H., Lehmann, Irina, Magnus, P., Majewska, R., Mäkelä, J., Manios, Y., McAuliffe, F.M., McDonald, S.W., Mehegan, J., Melén, E., Mommers, M., Morgen, C.S., Moschonis, G., Murray, D., Ní Chaoimh, C., Nohr, E.A., Nybo Andersen, A.-M., 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.

Abstract

Objective To assess the separate and combined associations of maternal pre‐pregnancy BMI and gestational weight gain with the risks of pregnancy complications and their population impact.Design Individual participant data meta‐analysis of 39 cohorts.SettingEurope, 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 size 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 size for gestational age at birth. Preterm birth risk was higher at lower and higher BMI and weight gain. Compared to 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% Confidence Interval 2.31, 2.74)). We estimated that 23.9% of any pregnancy complication was attributable to maternal overweight/obesity and 31.6% of large size 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 the 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

17. Maternal body mass index, gestational weight gain, and the risk of overweight and obesity across childhood: An individual participant data meta-analysis

Author

Voerman, E., Santos, S., Patro Golab, B., Amiano, P., Ballester, F., Barros, H., Bergström, A., Charles, M.-A., Chatzi, L., Chevrier, C., Chrousos, G.P., Corpeleijn, E., Costet, N., Crozier, S., Devereux, G., Eggesbø, M., Ekström, S., Fantini, M.P., Farchi, S., Forastiere, F., Georgiu, V., Godfrey, K.M., Gori, D., Grote, V., Hanke, W., Hertz-Picciotto, I., Heude, B., Hryhorczuk, D., Huang, R.-C., Inskip, H., Iszatt, N., Karvonen, A.M., Kenny, L.C., Koletzko, B., Küpers, L.K., Lagström, H., Lehmann, Irina, Magnus, P., Majewska, R., Mäkelä, J., Manios, Y., McAuliffe, F.M., McDonald, S.W., Mehegan, J., Mommers, M., Morgen, C.S., Mori, T.A., Moschonis, G., Murray, D., Ní Chaoimh, C., Nohr, E.A., Nybo Andersen, A.-M., 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., Ronfani, L., Santos, A.C., Standl, M., Stoltenberg, C., Thiering, E., Thijs, C., Torrent, M., Tough, S.C., Trnovec, T., Turner, S., van Rossem, L., von Berg, A., Vrijheid, M., Vrijkotte, T.G.M., West, J., Wijga, A., Wright, J., Zvinchuk, O., Sørensen, T.I.A., Lawlor, D.A., Gaillard, R., Jaddoe, V.W.V., Voerman, E., Santos, S., Patro Golab, B., Amiano, P., Ballester, F., Barros, H., Bergström, A., Charles, M.-A., Chatzi, L., Chevrier, C., Chrousos, G.P., Corpeleijn, E., Costet, N., Crozier, S., Devereux, G., Eggesbø, M., Ekström, S., Fantini, M.P., Farchi, S., Forastiere, F., Georgiu, V., Godfrey, K.M., Gori, D., Grote, V., Hanke, W., Hertz-Picciotto, I., Heude, B., Hryhorczuk, D., Huang, R.-C., Inskip, H., Iszatt, N., Karvonen, A.M., Kenny, L.C., Koletzko, B., Küpers, L.K., Lagström, H., Lehmann, Irina, Magnus, P., Majewska, R., Mäkelä, J., Manios, Y., McAuliffe, F.M., McDonald, S.W., Mehegan, J., Mommers, M., Morgen, C.S., Mori, T.A., Moschonis, G., Murray, D., Ní Chaoimh, C., Nohr, E.A., Nybo Andersen, A.-M., 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., Ronfani, L., Santos, A.C., Standl, M., Stoltenberg, C., Thiering, E., Thijs, C., Torrent, M., Tough, S.C., Trnovec, T., Turner, S., van Rossem, L., von Berg, A., Vrijheid, M., Vrijkotte, T.G.M., West, J., Wijga, A., Wright, J., Zvinchuk, O., Sørensen, T.I.A., Lawlor, D.A., Gaillard, R., and Jaddoe, V.W.V.

Abstract

BackgroundMaternal obesity and excessive gestational weight gain may have persistent effects on offspring fat development. However, it remains unclear whether these effects differ by severity of obesity, and whether these effects are restricted to the extremes of maternal body mass index (BMI) and gestational weight gain. We aimed to assess the separate and combined associations of maternal BMI and gestational weight gain with the risk of overweight/obesity throughout childhood, and their population impact. Methods and findingsWe conducted an individual participant data meta-analysis of data from 162,129 mothers and their children from 37 pregnancy and birth cohort studies from Europe, North America, and Australia. We assessed the individual and combined associations of maternal pre-pregnancy BMI and gestational weight gain, both in clinical categories and across their full ranges, with the risks of overweight/obesity in early (2.0–5.0 years), mid (5.0–10.0 years) and late childhood (10.0–18.0 years), using multilevel binary logistic regression models with a random intercept at cohort level adjusted for maternal sociodemographic and lifestyle-related characteristics. We observed that higher maternal pre-pregnancy BMI and gestational weight gain both in clinical categories and across their full ranges were associated with higher risks of childhood overweight/obesity, with the strongest effects in late childhood (odds ratios [ORs] for overweight/obesity in early, mid, and late childhood, respectively: OR 1.66 [95% CI: 1.56, 1.78], OR 1.91 [95% CI: 1.85, 1.98], and OR 2.28 [95% CI: 2.08, 2.50] for maternal overweight; OR 2.43 [95% CI: 2.24, 2.64], OR 3.12 [95% CI: 2.98, 3.27], and OR 4.47 [95% CI: 3.99, 5.23] for maternal obesity; and OR 1.39 [95% CI: 1.30, 1.49], OR 1.55 [95% CI: 1.49, 1.60], and OR 1.72 [95% CI: 1.56, 1.91] for excessive gestational weight gain). The proportions of childhood overweight/obesity prevalence attributable to maternal overweight, maternal

Published
2019

19. Gestational weight gain charts for different body mass index groups for women in Europe, North America, and Oceania

Author

Santos, S. Eekhout, I. Voerman, E. Gaillard, R. Barros, H. Charles, M.-A. Chatzi, L. Chevrier, C. Chrousos, G.P. Corpeleijn, E. Costet, N. Crozier, S. Doyon, M. Eggesbø, M. Fantini, M.P. Farchi, S. Forastiere, F. Gagliardi, L. 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. Jusko, T.A. Karvonen, A.M. Koletzko, B. Küpers, L.K. Lagström, H. Lawlor, D.A. Lehmann, I. Lopez-Espinosa, M.-J. Magnus, P. Majewska, R. Mäkelä, J. Manios, Y. McDonald, S.W. Mommers, M. Morgen, C.S. Moschonis, G. Murínová, L. Newnham, J. Nohr, E.A. Andersen, A.-M.N. 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. Santa-Marina, L. Santos, A.C. Smit, H.A. Sørensen, T.I.A. Standl, M. Stanislawski, M. Stoltenberg, C. Thiering, E. Thijs, C. Torrent, M. Tough, S.C. Trnovec, T. Van Gelder, M.M.H.J. Van Rossem, L. Von Berg, A. Vrijheid, M. Vrijkotte, T.G.M. Zvinchuk, O. Van Buuren, S. Jaddoe, V.W.V.

Abstract

Background: Gestational weight gain differs according to pre-pregnancy body mass index and is related to the risks of adverse maternal and child health outcomes. Gestational weight gain charts for women in different pre-pregnancy body mass index groups enable identification of women and offspring at risk for adverse health outcomes. We aimed to construct gestational weight gain reference charts for underweight, normal weight, overweight, and grades 1, 2 and 3 obese women and to compare these charts with those obtained in women with uncomplicated term pregnancies. Methods: We used individual participant data from 218,216 pregnant women participating in 33 cohorts from Europe, North America, and Oceania. Of these women, 9065 (4.2%), 148,697 (68.1%), 42,678 (19.6%), 13,084 (6.0%), 3597 (1.6%), and 1095 (0.5%) were underweight, normal weight, overweight, and grades 1, 2, and 3 obese women, respectively. A total of 138, 517 women from 26 cohorts had pregnancies with no hypertensive or diabetic disorders and with term deliveries of appropriate for gestational age at birth infants. Gestational weight gain charts for underweight, normal weight, overweight, and grade 1, 2, and 3 obese women were derived by the Box-Cox t method using the generalized additive model for location, scale, and shape. Results: We observed that gestational weight gain strongly differed per maternal pre-pregnancy body mass index group. The median (interquartile range) gestational weight gain at 40 weeks was 14.2 kg (11.4-17.4) for underweight women, 14.5 kg (11.5-17.7) for normal weight women, 13.9 kg (10.1-17.9) for overweight women, and 11.2 kg (7.0-15.7), 8.7 kg (4.3-13.4) and 6.3 kg (1.9-11.1) for grades 1, 2, and 3 obese women, respectively. The rate of weight gain was lower in the first half than in the second half of pregnancy. No differences in the patterns of weight gain were observed between cohorts or countries. Similar weight gain patterns were observed in mothers without pregnancy complications. Conclusions: Gestational weight gain patterns are strongly related to pre-pregnancy body mass index. The derived charts can be used to assess gestational weight gain in etiological research and as a monitoring tool for weight gain during pregnancy in clinical practice. © 2018 The Author(s).

Published
2018

20. DNA methylation in childhood asthma: an epigenome-wide meta-analysis

Author

Xu, C.J., Soderhall, C., Bustamante, M., Baiz, N., Gruzieva, O., Gehring, U., Mason, D., Chatzi, L., Basterrechea, M., Llop, S., Torrent, M., Forastiere, F., Fantini, M.P., Carlsen, K.C.L., Haahtela, T., Morin, A., Kerkhof, M. van de, Merid, S.K., Rijkom, B. van, Jankipersadsing, S.A., Bonder, M.J., Ballereau, S., Vermeulen, C.J., Aguirre-Gamboa, R., Jongste, J.C. de, Smit, H.A., Kumar, A., Pershagen, G., Guerra, S., Garcia-Aymerich, J., Greco, D., Reinius, L., McEachan, R.R.C., Azad, R., Hovland, V., Mowinckel, P., Alenius, H., Fyhrquist, N., Lemonnier, N., Pellet, J., Auffray, C., Vlies, P., Diemen, C.C. van, Li, Y., Wijmenga, C., Netea, M.G., Moffatt, M.F., Cookson, W., Anto, J.M., Bousquet, J., Laatikainen, T., Laprise, C., Carlsen, K.H., Gori, D., Porta, D., Iniguez, C., Bilbao, J.R., Kogevinas, M., Wright, J., Brunekreef, B., Kere, J., Nawijn, M.C., Annesi-Maesano, I., Sunyer, J., Melen, E., Koppelman, G.H., Xu, C.J., Soderhall, C., Bustamante, M., Baiz, N., Gruzieva, O., Gehring, U., Mason, D., Chatzi, L., Basterrechea, M., Llop, S., Torrent, M., Forastiere, F., Fantini, M.P., Carlsen, K.C.L., Haahtela, T., Morin, A., Kerkhof, M. van de, Merid, S.K., Rijkom, B. van, Jankipersadsing, S.A., Bonder, M.J., Ballereau, S., Vermeulen, C.J., Aguirre-Gamboa, R., Jongste, J.C. de, Smit, H.A., Kumar, A., Pershagen, G., Guerra, S., Garcia-Aymerich, J., Greco, D., Reinius, L., McEachan, R.R.C., Azad, R., Hovland, V., Mowinckel, P., Alenius, H., Fyhrquist, N., Lemonnier, N., Pellet, J., Auffray, C., Vlies, P., Diemen, C.C. van, Li, Y., Wijmenga, C., Netea, M.G., Moffatt, M.F., Cookson, W., Anto, J.M., Bousquet, J., Laatikainen, T., Laprise, C., Carlsen, K.H., Gori, D., Porta, D., Iniguez, C., Bilbao, J.R., Kogevinas, M., Wright, J., Brunekreef, B., Kere, J., Nawijn, M.C., Annesi-Maesano, I., Sunyer, J., Melen, E., and Koppelman, G.H.

Abstract

Contains fulltext : 193339.pdf (publisher's version ) (Closed access), BACKGROUND: DNA methylation profiles associated with childhood asthma might provide novel insights into disease pathogenesis. We did an epigenome-wide association study to assess methylation profiles associated with childhood asthma. METHODS: We did a large-scale epigenome-wide association study (EWAS) within the Mechanisms of the Development of ALLergy (MeDALL) project. We examined epigenome-wide methylation using Illumina Infinium Human Methylation450 BeadChips (450K) in whole blood in 207 children with asthma and 610 controls at age 4-5 years, and 185 children with asthma and 546 controls at age 8 years using a cross-sectional case-control design. After identification of differentially methylated CpG sites in the discovery analysis, we did a validation study in children (4-16 years; 247 cases and 2949 controls) from six additional European cohorts and meta-analysed the results. We next investigated whether replicated CpG sites in cord blood predict later asthma in 1316 children. We subsequently investigated cell-type-specific methylation of the identified CpG sites in eosinophils and respiratory epithelial cells and their related gene-expression signatures. We studied cell-type specificity of the asthma association of the replicated CpG sites in 455 respiratory epithelial cell samples, collected by nasal brushing of 16-year-old children as well as in DNA isolated from blood eosinophils (16 with asthma, eight controls [age 2-56 years]) and compared this with whole-blood DNA samples of 74 individuals with asthma and 93 controls (age 1-79 years). Whole-blood transcriptional profiles associated with replicated CpG sites were annotated using RNA-seq data of subsets of peripheral blood mononuclear cells sorted by fluorescence-activated cell sorting. FINDINGS: 27 methylated CpG sites were identified in the discovery analysis. 14 of these CpG sites were replicated and passed genome-wide significance (p<1.14 x 10(-7)) after meta-analysis. Consistently lower methylation le

Published
2018

21. Gestational weight gain charts for different body mass index groups for women in Europe, North America, and Oceania

Author

Santos, S. (Susana), Eekhout, I. (Iris), Voerman, E. (Ellis), Gaillard, R. (Romy), Barros, A.I. (Ana), Charles, M.A., Chatzi, L. (Leda), Chevrier, C. (Cécile), Chrousos, G.P. (George P.), Corpeleijn, W.E. (Willemijn), Costet, N. (Nathalie), Crozier, S. (Sarah), Doyon, M. (Myriam), Eggesbø, M. (Merete), Fantini, M.P. (Maria), Farchi, S. (Sara), Forastiere, F. (Francesco), Gagliardi, L. (Luigi), Georgiu, V. (Vagelis), Godfrey, K.M. (Keith M.), Gori, D. (Davide), Grote, V. (Veit), Hanke, W. (Wojciech), Hertz-Picciotto, I. (Irva), Heude, B. (Barbara), Hivert, M.-F. (Marie-France), Hryhorczuk, D.O. (Daniel), Huang, R.-C. (Rae-Chi), Inskip, H.M. (Hazel), Jusko, T.A. (Todd A), Karvonen, A.M. (Anne M.), Koletzko, B. (Berthold), Küpers, A.M. (Marlijn), Lagström, H. (Hanna), Lawlor, D.A. (Debbie A.), Lehmann, I. (Irina), Lopez-Espinosa, M.-J. (Maria-Jose), Magnus, P. (Per), Majewska, R. (Renata), Mäkelä, J. (Johanna), Manios, Y., McDonald, S.W. (Sheila W.), Mommers, M. (Monique), Morgen, C.S. (Camilla S.), Moschonis, G., Murinova, L.P. (Lubica Palkovicova), Newnham, J.P. (John), Nohr, C. (Christian), Andersen, A-M.N. (Anne-Marie Nybo), Oken, E. (Emily), Oostvogels, A.J.J.M. (Adriëtte J. J. M.), Pac, A. (Agnieszka), Papadopoulou, E. (Eleni), Pekkanen, J. (Juha), Pizzi, C. (Costanza), Polanska, K. (Kinga), Porta, D. (Daniela), Richiardi, L. (Lorenzo), Rifas-Shiman, S.L. (Sheryl), Roeleveld, N. (Nel), Santa-Marina, L. (Loreto), Santos, A.C. (Ana Cristina), Smit, H.A. (Henriëtte), Sørensen, T.I.A. (Thorkild), Standl, M. (Marie), Stanislawski, M. (Maggie), Stoltenberg, C. (Camilla), Thiering, E. (Elisabeth), Thijs, C. (Carel), Torrent, M. (Maties), Tough, S.C. (Suzanne C.), Trnovec, T. (Tomáš), Van Gelder, M.M.H.J. (Marleen M. H. J.), Rossem, L. (Lenie) van, Berg, A. (Andrea) von, Vrijheid, M. (Martine), Vrijkotte, T.G.M. (Tanja), Zvinchuk, O. (Oleksandr), Buuren, S. (Stef) van, Jaddoe, V.W.V. (Vincent), Santos, S. (Susana), Eekhout, I. (Iris), Voerman, E. (Ellis), Gaillard, R. (Romy), Barros, A.I. (Ana), Charles, M.A., Chatzi, L. (Leda), Chevrier, C. (Cécile), Chrousos, G.P. (George P.), Corpeleijn, W.E. (Willemijn), Costet, N. (Nathalie), Crozier, S. (Sarah), Doyon, M. (Myriam), Eggesbø, M. (Merete), Fantini, M.P. (Maria), Farchi, S. (Sara), Forastiere, F. (Francesco), Gagliardi, L. (Luigi), Georgiu, V. (Vagelis), Godfrey, K.M. (Keith M.), Gori, D. (Davide), Grote, V. (Veit), Hanke, W. (Wojciech), Hertz-Picciotto, I. (Irva), Heude, B. (Barbara), Hivert, M.-F. (Marie-France), Hryhorczuk, D.O. (Daniel), Huang, R.-C. (Rae-Chi), Inskip, H.M. (Hazel), Jusko, T.A. (Todd A), Karvonen, A.M. (Anne M.), Koletzko, B. (Berthold), Küpers, A.M. (Marlijn), Lagström, H. (Hanna), Lawlor, D.A. (Debbie A.), Lehmann, I. (Irina), Lopez-Espinosa, M.-J. (Maria-Jose), Magnus, P. (Per), Majewska, R. (Renata), Mäkelä, J. (Johanna), Manios, Y., McDonald, S.W. (Sheila W.), Mommers, M. (Monique), Morgen, C.S. (Camilla S.), Moschonis, G., Murinova, L.P. (Lubica Palkovicova), Newnham, J.P. (John), Nohr, C. (Christian), Andersen, A-M.N. (Anne-Marie Nybo), Oken, E. (Emily), Oostvogels, A.J.J.M. (Adriëtte J. J. M.), Pac, A. (Agnieszka), Papadopoulou, E. (Eleni), Pekkanen, J. (Juha), Pizzi, C. (Costanza), Polanska, K. (Kinga), Porta, D. (Daniela), Richiardi, L. (Lorenzo), Rifas-Shiman, S.L. (Sheryl), Roeleveld, N. (Nel), Santa-Marina, L. (Loreto), Santos, A.C. (Ana Cristina), Smit, H.A. (Henriëtte), Sørensen, T.I.A. (Thorkild), Standl, M. (Marie), Stanislawski, M. (Maggie), Stoltenberg, C. (Camilla), Thiering, E. (Elisabeth), Thijs, C. (Carel), Torrent, M. (Maties), Tough, S.C. (Suzanne C.), Trnovec, T. (Tomáš), Van Gelder, M.M.H.J. (Marleen M. H. J.), Rossem, L. (Lenie) van, Berg, A. (Andrea) von, Vrijheid, M. (Martine), Vrijkotte, T.G.M. (Tanja), Zvinchuk, O. (Oleksandr), Buuren, S. (Stef) van, and Jaddoe, V.W.V. (Vincent)

Abstract

Background: Gestational weight gain differs according to pre-pregnancy body mass index and is related to the risks of adverse maternal and child health outcomes. Gestational weight gain charts for women in different pre-pregnancy body mass index groups enable identification of women and offspring at risk for adverse health outcomes. We aimed to construct gestational weight gain reference charts for underweight, normal weight, overweight, and grades 1, 2 and 3 obese women and to compare these charts with those obtained in women with uncomplicated term pregnancies. Methods: We used individual participant data from 218,216 pregnant women participating in 33 cohorts from Europe, North America, and Oceania. Of these women, 9065 (4.2%), 148,697 (68.1%), 42,678 (19.6%), 13,084 (6.0%), 3597 (1.6%), and 1095 (0.5%) were underweight, normal weight, overweight, and grades 1, 2, and 3 obese women, respectively. A total of 138, 517 women from 26 cohorts had pregnancies with no hypertensive or diabetic disorders and with term deliveries of appropriate for gestational age at birth infants. Gestational weight gain charts for underweight, normal weight, overweight, and grade 1, 2, and 3 obese women were derived by the Box-Cox t method using the generalized additive model for location, scale, and shape. Results: We observed that gestational weight gain strongly differed per maternal pre-pregnancy body mass index group. The median (interquartile range) gestational weight gain at 40 weeks was 14.2 kg (11.4-17.4) for underweight women, 14.5 kg (11.5-17.7) for normal weight women, 13.9 kg (10.1-17.9) for overweight women, and 11.2 kg (7.0-15.7), 8.7 kg (4.3-13.4) and 6.3 kg (1.9-11.1) for grades 1, 2, and 3 obese women, respectively. The rate of weight gain was lower in the first half than in the second half of pregnancy. No differences in the patterns of weight gain were observed between cohorts or countries. Similar weight gain patterns were observed in mothers without pregnancy compli

Published
2018
Full Text
View/download PDF

22. Does early onset asthma increase childhood obesity risk? A pooled analysis of 16 European cohorts

Author

Contreras, Z.A., Chen, Z., Roumeliotaki, T., Annesi-Maesano, I., Baïz, N., von Berg, A., Bergström, A., Crozier, S., Duijts, L., Ekström, S., Eller, E., Fantini, M.P., Kjaer, H.F., Forastiere, F., Gerhard, B., Gori, D., Harskamp-van Ginkel, M.W., Heinrich, J., Iñiguez, C., Inskip, H., Keil, T., Kogevinas, M., Lau, S., Lehmann, Irina, Maier, D., van Meel, E.R., Mommers, M., Murcia, M., Porta, D., Smit, H.A., Standl, M., Stratakis, N., Sunyer, J., Thijs, C., Torrent, M., Vrijkotte, T.G.M., Wijga, A.H., Berhane, K., Gilliland, F., Chatzi, L., Contreras, Z.A., Chen, Z., Roumeliotaki, T., Annesi-Maesano, I., Baïz, N., von Berg, A., Bergström, A., Crozier, S., Duijts, L., Ekström, S., Eller, E., Fantini, M.P., Kjaer, H.F., Forastiere, F., Gerhard, B., Gori, D., Harskamp-van Ginkel, M.W., Heinrich, J., Iñiguez, C., Inskip, H., Keil, T., Kogevinas, M., Lau, S., Lehmann, Irina, Maier, D., van Meel, E.R., Mommers, M., Murcia, M., Porta, D., Smit, H.A., Standl, M., Stratakis, N., Sunyer, J., Thijs, C., Torrent, M., Vrijkotte, T.G.M., Wijga, A.H., Berhane, K., Gilliland, F., and Chatzi, L.

Abstract

The parallel epidemics of childhood asthma and obesity over the past few decades have spurred research into obesity as a risk factor for asthma. However, little is known regarding the role of asthma in obesity incidence. We examined whether early-onset asthma and related phenotypes are associated with the risk of developing obesity in childhood.This study includes 21 130 children born from 1990 to 2008 in Denmark, France, Germany, Greece, Italy, The Netherlands, Spain, Sweden and the UK. We followed non-obese children at 3–4 years of age for incident obesity up to 8 years of age. Physician-diagnosed asthma, wheezing and allergic rhinitis were assessed up to 3–4 years of age.Children with physician-diagnosed asthma had a higher risk for incident obesity than those without asthma (adjusted hazard ratio (aHR) 1.66, 95% CI 1.18–2.33). Children with active asthma (wheeze in the last 12 months and physician-diagnosed asthma) exhibited a higher risk for obesity (aHR 1.98, 95% CI 1.31–3.00) than those without wheeze and asthma. Persistent wheezing was associated with increased risk for incident obesity compared to never wheezers (aHR 1.51, 95% CI 1.08–2.09).Early-onset asthma and wheezing may contribute to an increased risk of developing obesity in later childhood.

Published
2018

23. Gestational weight gain charts for different body mass index groups for women in Europe, North America, and Oceania

Author

Santos, S., Eekhout, I., Voerman, I., Gaillard, R., Barros, H., Charles, M.-A., Chatzi, L., Chevrier, C., Chrousos, G.P., Corpeleijn, E., Costet, N., Crozier, S., Doyon, M., Eggesbø, M., Fantini, M.P., Farchi, S., Forastiere, F., Gagliardi, L., 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., Jusko, T.A., Karvonen, A.M., Koletzko, B., Küpers, L.K., Lagström, H., Lawlor, D.A., Lehmann, Irina, Lopez-Espinosa, M.-J., Magnus, P., Majewska, R., Mäkelä, J., Manios, Y., McDonald, S.W., Mommers, M., Morgen, C.S., Moschonis, G., Murínová, L., Newnham, J., Nohr, E.A., Nybo Andersen, A.-M., 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., Santa-Marina, L., Santos, A.C., Smit, H.A., Sørensen, T.I.A., Standl, M., Stanislawski, M., Stoltenberg, C., Thiering, E., Thijs, C., Torrent, M., Tough, S.C., Trnovec, T., van Gelder, M.M.H.J., van Rossem, L., von Berg, A., Vrijheid, M., Vrijkotte, T.G.M., Zvinchuk, O., van Buuren, S., Jaddoe, V.W.V., Santos, S., Eekhout, I., Voerman, I., Gaillard, R., Barros, H., Charles, M.-A., Chatzi, L., Chevrier, C., Chrousos, G.P., Corpeleijn, E., Costet, N., Crozier, S., Doyon, M., Eggesbø, M., Fantini, M.P., Farchi, S., Forastiere, F., Gagliardi, L., 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., Jusko, T.A., Karvonen, A.M., Koletzko, B., Küpers, L.K., Lagström, H., Lawlor, D.A., Lehmann, Irina, Lopez-Espinosa, M.-J., Magnus, P., Majewska, R., Mäkelä, J., Manios, Y., McDonald, S.W., Mommers, M., Morgen, C.S., Moschonis, G., Murínová, L., Newnham, J., Nohr, E.A., Nybo Andersen, A.-M., 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., Santa-Marina, L., Santos, A.C., Smit, H.A., Sørensen, T.I.A., Standl, M., Stanislawski, M., Stoltenberg, C., Thiering, E., Thijs, C., Torrent, M., Tough, S.C., Trnovec, T., van Gelder, M.M.H.J., van Rossem, L., von Berg, A., Vrijheid, M., Vrijkotte, T.G.M., Zvinchuk, O., van Buuren, S., and Jaddoe, V.W.V.

Abstract

BackgroundGestational weight gain differs according to pre-pregnancy body mass index and is related to the risks of adverse maternal and child health outcomes. Gestational weight gain charts for women in different pre-pregnancy body mass index groups enable identification of women and offspring at risk for adverse health outcomes. We aimed to construct gestational weight gain reference charts for underweight, normal weight, overweight, and grades 1, 2 and 3 obese women and to compare these charts with those obtained in women with uncomplicated term pregnancies.MethodsWe used individual participant data from 218,216 pregnant women participating in 33 cohorts from Europe, North America, and Oceania. Of these women, 9065 (4.2%), 148,697 (68.1%), 42,678 (19.6%), 13,084 (6.0%), 3597 (1.6%), and 1095 (0.5%) were underweight, normal weight, overweight, and grades 1, 2, and 3 obese women, respectively. A total of 138, 517 women from 26 cohorts had pregnancies with no hypertensive or diabetic disorders and with term deliveries of appropriate for gestational age at birth infants. Gestational weight gain charts for underweight, normal weight, overweight, and grade 1, 2, and 3 obese women were derived by the Box-Cox t method using the generalized additive model for location, scale, and shape.ResultsWe observed that gestational weight gain strongly differed per maternal pre-pregnancy body mass index group. The median (interquartile range) gestational weight gain at 40 weeks was 14.2 kg (11.4–17.4) for underweight women, 14.5 kg (11.5–17.7) for normal weight women, 13.9 kg (10.1–17.9) for overweight women, and 11.2 kg (7.0–15.7), 8.7 kg (4.3–13.4) and 6.3 kg (1.9–11.1) for grades 1, 2, and 3 obese women, respectively. The rate of weight gain was lower in the first half than in the second half of pregnancy. No differences in the patterns of weight gain were observed between cohorts or countries. Similar weight gain pat

Published
2018

24. Attitudes towards compulsory vaccination in Italy: Results from the NAVIDAD multicentre study

Author

Gualano, M.R., primary, Bert, F., additional, Voglino, G., additional, Buttinelli, E., additional, D'Errico, M.M., additional, De Waure, C., additional, Di Giovanni, P., additional, Fantini, M.P., additional, Giuliani, A.R., additional, Marranzano, M., additional, Masanotti, G., additional, Massimi, A., additional, Nante, N., additional, Pennino, F., additional, Squeri, R., additional, Stefanati, A., additional, Signorelli, C., additional, Siliquini, R., additional, Castaldi, S., additional, Di Donna, F., additional, Di Martino, G., additional, Genovese, C., additional, Golfera, M., additional, Gori, D., additional, Greco, P., additional, Loperto, I., additional, Miduri, A., additional, Olivero, E., additional, Prospero, E., additional, Quattrocolo, F., additional, Rossello, P., additional, Rosso, A., additional, Sisti, L.G., additional, Stracci, F., additional, and Zappalà, G., additional

Published
2018
Full Text
View/download PDF

25. Mechanisms of the Development of Allergy (MeDALL): Introducing novel concepts in allergy phenotypes

Author

Anto, J.M., Bousquet, J., Akdis, M., Auffray, C., Keil, T., Momas, I., Postma, D.S., Valenta, R., Wickman, M., Cambon-Thomsen, A., Haahtela, T., Lambrecht, B.N., Lodrup Carlsen, K.C., Koppelman, G.H., Sunyer, J., Zuberbier, T., Annesi-Maesano, I., Arno, A., Bindslev-Jensen, C., De Carlo, G., Forastiere, F., Heinrich, J., Kowalski, M.L., Maier, D., Melén, E., Smit, H.A., Standl, M., Wright, J., Asarnoj, A., Benet, M., Ballardini, N., Garcia-Aymerich, J., Gehring, U., Guerra, S., Hohmann, C., Kull, I., Lupinek, C., Pinart, M., Skrindo, I., Westman, M., Smagghe, D., Akdis, C., Andersson, N., Bachert, C., Ballereau, S., Ballester, F., Basagana, X., Bedbrook, A., Bergstrom, A., von Berg, A., Brunekreef, B., Burte, E., Carlsen, K.-H., Chatzi, L., Coquet, J.M., Curin, M., Demoly, P., Eller, E., Fantini, M.P., von Hertzen, L., Hovland, V., Jacquemin, B., Just, J., Keller, T., Kiss, R., Kogevinas, M., Koletzko, S., Lau, S., Lehmann, Irina, Lemonnier, N., Mäkelä, M., Mestres, J., Mowinckel, P., Nadif, R., Nawijn, M.C., Pellet, J., Pin, I., Porta, D., Rancière, F., Rial-Sebbag, E., Saeys, Y., Schuijs, M.J., Siroux, V., Tischer, C.G., Torrent, M., Varraso, R., Wenzel, K., Xu, C.-J., Anto, J.M., Bousquet, J., Akdis, M., Auffray, C., Keil, T., Momas, I., Postma, D.S., Valenta, R., Wickman, M., Cambon-Thomsen, A., Haahtela, T., Lambrecht, B.N., Lodrup Carlsen, K.C., Koppelman, G.H., Sunyer, J., Zuberbier, T., Annesi-Maesano, I., Arno, A., Bindslev-Jensen, C., De Carlo, G., Forastiere, F., Heinrich, J., Kowalski, M.L., Maier, D., Melén, E., Smit, H.A., Standl, M., Wright, J., Asarnoj, A., Benet, M., Ballardini, N., Garcia-Aymerich, J., Gehring, U., Guerra, S., Hohmann, C., Kull, I., Lupinek, C., Pinart, M., Skrindo, I., Westman, M., Smagghe, D., Akdis, C., Andersson, N., Bachert, C., Ballereau, S., Ballester, F., Basagana, X., Bedbrook, A., Bergstrom, A., von Berg, A., Brunekreef, B., Burte, E., Carlsen, K.-H., Chatzi, L., Coquet, J.M., Curin, M., Demoly, P., Eller, E., Fantini, M.P., von Hertzen, L., Hovland, V., Jacquemin, B., Just, J., Keller, T., Kiss, R., Kogevinas, M., Koletzko, S., Lau, S., Lehmann, Irina, Lemonnier, N., Mäkelä, M., Mestres, J., Mowinckel, P., Nadif, R., Nawijn, M.C., Pellet, J., Pin, I., Porta, D., Rancière, F., Rial-Sebbag, E., Saeys, Y., Schuijs, M.J., Siroux, V., Tischer, C.G., Torrent, M., Varraso, R., Wenzel, K., and Xu, C.-J.

Abstract

Asthma, rhinitis, and eczema are complex diseases with multiple genetic and environmental factors interlinked through IgE-associated and non–IgE-associated mechanisms. Mechanisms of the Development of ALLergy (MeDALL; EU FP7-CP-IP; project no: 261357; 2010-2015) studied the complex links of allergic diseases at the clinical and mechanistic levels by linking epidemiologic, clinical, and mechanistic research, including in vivo and in vitro models. MeDALL integrated 14 European birth cohorts, including 44,010 participants and 160 cohort follow-ups between pregnancy and age 20 years. Thirteen thousand children were prospectively followed after puberty by using a newly standardized MeDALL Core Questionnaire. A microarray developed for allergen molecules with increased IgE sensitivity was obtained for 3,292 children. Estimates of air pollution exposure from previous studies were available for 10,000 children. Omics data included those from historical genome-wide association studies (23,000 children) and DNA methylation (2,173), targeted multiplex biomarker (1,427), and transcriptomic (723) studies. Using classical epidemiology and machine-learning methods in 16,147 children aged 4 years and 11,080 children aged 8 years, MeDALL showed the multimorbidity of eczema, rhinitis, and asthma and estimated that only 38% of multimorbidity was attributable to IgE sensitization. MeDALL has proposed a new vision of multimorbidity independent of IgE sensitization, and has shown that monosensitization and polysensitization represent 2 distinct phenotypes. The translational component of MeDALL is shown by the identification of a novel allergic phenotype characterized by polysensitization and multimorbidity, which is associated with the frequency, persistence, and severity of allergic symptoms. The results of MeDALL will help integrate personalized, predictive, preventative, and participatory approaches in allergic diseases.

Published
2017

26. Paving the way of systems biology and precision medicine in allergic diseases: the MeDALL success story Mechanisms of the Development of ALLergy; EUFP7-CP-IP; Project No: 261357; 2010-2015

Author

Bousquet, J., Anto, J. M., Akdis, M., Auffray, C., Keil, T., Momas, I., Postma, D. S., Valenta, R., Wickman, M., Cambon-Thomsen, A., Haahtela, T., Lambrecht, B. N., Lodrup Carlsen, K. C., Koppelman, G. H., Sunyer, J., Zuberbier, T., Annesi-Maesano, I., Arno, A., Bindslev-Jensen, C., De Carlo, G., Forastiere, F., Heinrich, J., Kowalski, M. L., Maier, D., Melen, E., Palkonen, S., Smit, H. A., Standl, M., Wright, J., Asarnoj, A., Benet, M., Ballardini, N., Garcia-Aymerich, J., Gehring, U., Guerra, S., Hohman, C., Kull, I., Lupinek, C., Pinart, M., Skrindo, I., Westman, M., Smagghe, D., Akdis, C., Albang, R., Anastasova, V., Anderson, N., Bachert, C., Ballereau, S., Ballester, F., Basagana, X., Bedbrook, A., Bergstrom, A., von Berg, A., Brunekreef, B., Burte, E., Carlsen, K.H., Chatzi, L., Coquet, J.M., Curin, M., Demoly, P., Eller, E., Fantini, M.P., Gerhard, B., Hammad, H., von Hertzen, L., Hovland, V., Jacquemin, B., Just, J., Keller, T., Kerkhof, M., Kiss, R., Kogevinas, M., Koletzko, S., Lau, S., Lehmann, I., Lemonnier, N., McEachan, R., Makela, M., Mestres, J., Minina, E., Mowinckel, P., Nadif, R., Nawijn, M., Oddie, S., Pellet, J., Pin, I., Porta, D., Rancière, F., Rial-Sebbag, A., Schuijs, M.J., Siroux, V., Tischer, C.G., Torrent, M., Varraso, R., De Vocht, J., Wenger, K., Wieser, S., and Xu, C.

Subjects
ddc:610
Abstract

MeDALL (Mechanisms of the Development of ALLergy; EU FP7-CP-IP; Project No: 261357; 2010-2015) has proposed an innovative approach to develop early indicators for the prediction, diagnosis, prevention and targets for therapy. MeDALL has linked epidemiological, clinical and basic research using a stepwise, large-scale and integrative approach: MeDALL data of precisely phenotyped children followed in 14 birth cohorts spread across Europe were combined with systems biology (omics, IgE measurement using microarrays) and environmental data. Multimorbidity in the same child is more common than expected by chance alone, suggesting that these diseases share causal mechanisms irrespective of IgE sensitization. IgE sensitization should be considered differently in monosensitized and polysensitized individuals. Allergic multimorbidities and IgE polysensitization are often associated with the persistence or severity of allergic diseases. Environmental exposures are relevant for the development of allergy-related diseases. To complement the population-based studies in children, MeDALL included mechanistic experimental animal studies and in vitro studies in humans. The integration of multimorbidities and polysensitization has resulted in a new classification framework of allergic diseases that could help to improve the understanding of genetic and epigenetic mechanisms of allergy as well as to better manage allergic diseases. Ethics and gender were considered. MeDALL has deployed translational activities within the EU agenda.

Published
2016

27. European birth cohorts for environmental health research

Author

Vrijheid, M., Casas, M., Bergström, A., Carmichael, A., Cordier, S., Eggesbø, M., Eller, E., Fantini, M.P., Fernández, M.F., Fernández-Somoano, A., Gehring, U., Grazuleviciene, R., Hohmann, C., Karvonen, A.M., Keil, T., Kogevinas, M., Koppen, G., Krämer, U., Kuehni, C.E., Magnus, P., Majewska, R., Andersen, A., Patelarou, E., Petersen, M., Pierik, F.H., Polanska, K., Porta, D., Richiardi, L., Santos, A, Slama, R., Sram, R.J., Thijs, C., Tischer, C., Toft, G., Trnovec, T., Vandentorren, S., Vrijkotte, T.G.M., Wilhelm, M., Wright, J., Nieuwenhuijsen, M., Risk Assessment of Toxic and Immunomodulatory Agents, Dep IRAS, Risk Assessment of Toxic and Immunomodulatory Agents, Dep IRAS, Vrijheid M., Casas M., Bergström A., Carmichael A., Cordier S., Eggesbø M., Eller E., Fantini M.P., Fernández M.F., Fernández-Somoano A., Gehring U., Grazuleviciene R., Hohmann C., Karvonen A.M., Keil T., Kogevinas M., Koppen G., Krämer U., Kuehni C., Magnus P., Majewska R., Andersen A.M., Patelarou E., Petersen M.S., Pierik F.H., Polanska K., Porta D., Richiardi L., Santos A.C., Slama R., Sram R.J., Thijs C., Tischer C., Toft G., Trnovec T., Vandentorren S., Vrijkotte T.G., Wilhelm M., Wright J., Nieuwenhuijsen M., Le Corre, Morgane, IMIM-Hospital del Mar, Generalitat de Catalunya, Center for Research in Environmental Epidemiology (CREAL), Universitat Pompeu Fabra [Barcelona] (UPF)-Catalunya ministerio de salud, Spanish Consortium for Research on Epidemiology and Public Health, CIBER de Epidemiología y Salud Pública (CIBERESP), Institute of Environmental Medicine, Karolinska Institutet [Stockholm]-Sachs' Children's Hospital, School of Social and Community Medicine, University of Bristol [Bristol], Groupe d'Etude de la Reproduction Chez l'Homme et les Mammiferes (GERHM), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Division of Epidemiology, Norwegian Institute of Public Health [Oslo] (NIPH), Department of Dermatology and Allergy Centre, Odense University Hospital, Department of Public Health, Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO), Risk Assessment Sciences Institute, Utrecht University [Utrecht], Vytautas Magnus University - Vytauto Didziojo Universitetas (VDU), Institute of Social Medicine, Epidemiology and Health Economics-Charité - UniversitätsMedizin = Charité - University Hospital [Berlin], Department of Environmental Health, National Institute for Health and Welfare [Helsinki], Environmental Risk and Health Unit, Flemish Institute for Technological Research (VITO), IUF, Leibniz Research Institute for Environmental Medicine (IUF), Institute of Social and Preventive Medicine (ISPM), University of Bern, Epidemiology and Preventive Medicine, Uniwersytet Jagielloński w Krakowie = Jagiellonian University (UJ), Section of Social Medicine, Department of Public Health [Copenhagen], Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH)-Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH), Department of Social Medicine, University of Crete [Heraklion] (UOC)-Medical School, Department of Occupational Medicine and Public Health, The Faroese Hospital System (Landssjúkrahúsið) (LS), Department of Urban Environment, The Netherlands Organisation for Applied Scientific Research (TNO), Department of Environmental Epidemiology, Nofer Institute of Occupational Medicine, Department of Epidemiology, Regional Health Service - Lazio, Cancer Epidemiology Unit, Université de Turin-CPO-Piemonte, Department of Hygiene and Epidemiology, Universidade do Porto = University of Porto, Environmental Epidemiology Applied to Reproduction and Respiratory Health, Epidémiologie pronostique des cancers et affections graves, Université Joseph Fourier - Grenoble 1 (UJF)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institute of Experimental Medicine AS CR, Maastricht University [Maastricht]-School for Public Health and Primary Care (CAPHRI), Institute of Epidemiology [Neuherberg] (EPI), German Research Center for Environmental Health - Helmholtz Center München (GmbH), Department of Occupational Medicine, Aarhus University Hospital, Slovak Medical University of Bratislava (SMU), Institut de Veille Sanitaire (INVS), Academic Medical Centre, Hygiene, Social and Environmental Medicine, Ruhr University Bochum (RUB), Bradford Institute for Health Research, Environmental Health Risks in European Birth Cohorts (ENRIECO), the European Union's Seventh Framework Programme (Theme 6, Environment, including climate change), grant agreement 226285., Epidemiologie, RS: CAPHRI School for Public Health and Primary Care, Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Charité - UniversitätsMedizin = Charité - University Hospital [Berlin]-Epidemiology and Health Economics, University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU)-Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU), Universidade do Porto-University of Porto Medical School and Institute of Public Health, and Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK (BIHR)

Subjects
Passive smoking, Databases, Factual, Health, Toxicology and Mutagenesis, Review, 010501 environmental sciences, Medi ambient -- Anàlisi d'impacte, medicine.disease_cause, 01 natural sciences, birth cohorts, child health, environmental exposures, Europe, review, Cohort Studies, MESH: Pregnancy, 0302 clinical medicine, Salut ambiental, Pregnancy, MESH: Child, 030212 general & internal medicine, MESH: Maternal Exposure, Child, MESH: Cohort Studies, Child health, Birth cohorts, MESH: Infant, Newborn, Environmental exposure, MESH: Infant, 3. Good health, MESH: Internet, Maternal Exposure, UES - Urban Environment & Safety, Child, Preschool, Female, EELS - Earth, Environmental and Life Sciences, Environmental Health, Cohort study, Earth & Environment, MESH: Environmental Exposure, Energy / Geological Survey Netherlands, MEDLINE, 610 Medicine & health, Environment, 03 medical and health sciences, Environmental health, medicine, Humans, Infants -- Salut i higiene, 0105 earth and related environmental sciences, Asthma, Internet, MESH: Humans, business.industry, MESH: Child, Preschool, Environmental exposures, Public Health, Environmental and Occupational Health, Infant, Newborn, Infant, Environmental Exposure, medicine.disease, MESH: Databases, Factual, Obesity, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, Causal inference, MESH: Environmental Health, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, MESH: Europe, business, MESH: Female
Abstract

This work was supported by Environmental Health Risks in European Birth Cohorts (ENRIECO), a project conducted within the European Union’s Seventh Framework Programme (Theme 6, Environment, including climate change), grant agreement 226285., Vrijheid, M., Casas, M., Bergström, A., Carmichael, A., Cordier, S., Eggesbø, M., Eller, E., Fantini, M.P., Fernández, M.F., Fernández-Somoano, A., Gehring, U., Grazuleviciene, R., Hohmann, C., Karvonen, A.M., Keil, T., Kogevinas, M., Koppen, G., Krämer, U., Kuehni, C.E., Magnus, P., Majewska, R., Andersen, A.-M.N., Patelarou, E., Petersen, M.S., Pierik, F.H., Polanska, K., Porta, D., Richiardi, L., Santos, A.C., Slama, R., Sram, R.J., Thijs, C., Tischer, C., Toft, G., Trnovec, T., Vandentorren, S., Vrijkotte, T.G.M., Wilhelm, M., Wright, J., Nieuwenhuijsen, M.

Published
2012

28. Early growth characteristics and the risk of reduced lung function and asthma: A meta-analysis of 25,000 children

Author

den Dekker, H.T., den Dekker, H.T., Sonnenschein-va Voort, A.M., de Jongste, J.C., Anessi-Maesano, I., Arshad, S.H., Barros, H., Beardsmore, C.S., Bisgaard, H., Phar, S.C., Craig, L., Devereux, G., van der Ent, C.K., Esplugues, A., Fantini, M.P., Flexeder, C., Frey, U., Forastiere, F., Gehring, U., Gori, D., van der Gugten, A.C., Henderson, A.J., Heude, B., Ibarluzea, J., Inskip, H.M., Keil, T., Kogevinas, M., Kreiner-Moller, E., Kuehni, C.E., Lau, S., Melen, E., Mommers, M., Morales, E., Penders, J., Pike, K.C., Porta, D., Reiss, I.K., Roberts, G., Schmidt, A., Schultz, E.S., Schulz, H., Sunyer, J., Torrent, M., Vassilaki, M., Wijga, A.H., Zabaleta, C., Jaddoe, V.W., Duijts, L., den Dekker, H.T., den Dekker, H.T., Sonnenschein-va Voort, A.M., de Jongste, J.C., Anessi-Maesano, I., Arshad, S.H., Barros, H., Beardsmore, C.S., Bisgaard, H., Phar, S.C., Craig, L., Devereux, G., van der Ent, C.K., Esplugues, A., Fantini, M.P., Flexeder, C., Frey, U., Forastiere, F., Gehring, U., Gori, D., van der Gugten, A.C., Henderson, A.J., Heude, B., Ibarluzea, J., Inskip, H.M., Keil, T., Kogevinas, M., Kreiner-Moller, E., Kuehni, C.E., Lau, S., Melen, E., Mommers, M., Morales, E., Penders, J., Pike, K.C., Porta, D., Reiss, I.K., Roberts, G., Schmidt, A., Schultz, E.S., Schulz, H., Sunyer, J., Torrent, M., Vassilaki, M., Wijga, A.H., Zabaleta, C., Jaddoe, V.W., and Duijts, L.

Abstract

BACKGROUND: Children born preterm or with a small size for gestational age are at increased risk for childhood asthma. OBJECTIVE: We sought to assess the hypothesis that these associations are explained by reduced airway patency. METHODS: We used individual participant data of 24,938 children from 24 birth cohorts to examine and meta-analyze the associations of gestational age, size for gestational age, and infant weight gain with childhood lung function and asthma (age range, 3.9-19.1 years). Second, we explored whether these lung function outcomes mediated the associations of early growth characteristics with childhood asthma. RESULTS: Children born with a younger gestational age had a lower FEV1, FEV1/forced vital capacity (FVC) ratio, and forced expiratory volume after exhaling 75% of vital capacity (FEF75), whereas those born with a smaller size for gestational age at birth had a lower FEV1 but higher FEV1/FVC ratio (P < .05). Greater infant weight gain was associated with higher FEV1 but lower FEV1/FVC ratio and FEF75 in childhood (P < .05). All associations were present across the full range and independent of other early-life growth characteristics. Preterm birth, low birth weight, and greater infant weight gain were associated with an increased risk of childhood asthma (pooled odds ratio, 1.34 [95% CI, 1.15-1.57], 1.32 [95% CI, 1.07-1.62], and 1.27 [95% CI, 1.21-1.34], respectively). Mediation analyses suggested that FEV1, FEV1/FVC ratio, and FEF75 might explain 7% (95% CI, 2% to 10%) to 45% (95% CI, 15% to 81%) of the associations between early growth characteristics and asthma. CONCLUSIONS: Younger gestational age, smaller size for gestational age, and greater infant weight gain were across the full ranges associated with childhood lung function. These associations explain the risk of childhood asthma to a substantial extent.

Published
2016

29. Paving the way of systems biology and precision medicine in allergic diseases: the MeDALL success story. (Mechanisms of the Development of ALLergy; EU FP7-CP-IP; Project No: 261357; 2010-2015)

Author

Bousquet, J., Anto, J.M., Akdis, M., Auffray, C., Keil, T., Momas, I., Postma, D., Valenta, R., Wickman, M., Cambon-Thomsen, A., Haahtela, T., Lambrecht, B.N., Lodrup-Carlsen, K., Koppelman, G.H., Sunyer, J., Zuberbier, T., Annesi-Maesano, I., Arno, A., Bindslev-Jensen, C., De Carlo, G., Forastiere, F., Heinrich, J., Kowalski, M.L., Maier, D., Melén, E., Palkonen, S., Smit, H.A., Standl, M., Wright, J., Arsanoj, A., Benet, M., Balardini, N., Garcia-Aymerich, J., Gehring, U., Guerra, S., Hohmann, C., Kull, I., Lupinek, C., Pinart, M., Skrindo, I., Westman, M., Smagghe, D., Akdis, C., Albang, R., Anastasova, V., Anderson, N., Bachert, C., Ballereau, S., Ballester, F., Basagana, X., Bedbrook, A., Bergstrom, A., von Berg, A., Brunekreef, B., Burte, E., Carlsen, K.H., Chatzi, L., Coquet, J.M., Curin, M., Demoly, P., Eller, E., Fantini, M.P., Gerhard, B., Hammad, H., von Hertzen, L., Hovland, V., Jacquemin, B., Just, J., Keller, T., Kerkhof, M., Kiss, R., Kogevinas, M., Koletzko, S., Lau, S., Lehmann, Irina, Lemonnier, N., McEachan, R., Mäkelä, M., Mestres, J., Minina, E., Mowinckel, P., Nadif, R., Nawijn, M., Oddie, S., Pellet, J., Pin, I., Porta, D., Rancière, F., Rial-Sebbag, A., Saes, Y., Schuijs, M.J., Siroux, V., Tischer, C.G., Torrent, M., Varraso, R., De Vocht, J., Wenger, K., Wieser, S., Xu, C., Bousquet, J., Anto, J.M., Akdis, M., Auffray, C., Keil, T., Momas, I., Postma, D., Valenta, R., Wickman, M., Cambon-Thomsen, A., Haahtela, T., Lambrecht, B.N., Lodrup-Carlsen, K., Koppelman, G.H., Sunyer, J., Zuberbier, T., Annesi-Maesano, I., Arno, A., Bindslev-Jensen, C., De Carlo, G., Forastiere, F., Heinrich, J., Kowalski, M.L., Maier, D., Melén, E., Palkonen, S., Smit, H.A., Standl, M., Wright, J., Arsanoj, A., Benet, M., Balardini, N., Garcia-Aymerich, J., Gehring, U., Guerra, S., Hohmann, C., Kull, I., Lupinek, C., Pinart, M., Skrindo, I., Westman, M., Smagghe, D., Akdis, C., Albang, R., Anastasova, V., Anderson, N., Bachert, C., Ballereau, S., Ballester, F., Basagana, X., Bedbrook, A., Bergstrom, A., von Berg, A., Brunekreef, B., Burte, E., Carlsen, K.H., Chatzi, L., Coquet, J.M., Curin, M., Demoly, P., Eller, E., Fantini, M.P., Gerhard, B., Hammad, H., von Hertzen, L., Hovland, V., Jacquemin, B., Just, J., Keller, T., Kerkhof, M., Kiss, R., Kogevinas, M., Koletzko, S., Lau, S., Lehmann, Irina, Lemonnier, N., McEachan, R., Mäkelä, M., Mestres, J., Minina, E., Mowinckel, P., Nadif, R., Nawijn, M., Oddie, S., Pellet, J., Pin, I., Porta, D., Rancière, F., Rial-Sebbag, A., Saes, Y., Schuijs, M.J., Siroux, V., Tischer, C.G., Torrent, M., Varraso, R., De Vocht, J., Wenger, K., Wieser, S., and Xu, C.

Abstract

MeDALL Mechanisms of the Development of ALLergy; EU FP7-CP-IP; Project No: 261357; 20 10-2015 proposed an innovative approach to develop early indicators for the prediction, diagnosis, prevention and targets for therapy. MeDALL linked epidemiological, clinical and basic research using a stepwise, large-scale and integrative approach: precisely phenotyped children followed in 14 birth cohorts spread across Europe were combined with systems biology omics, IgE measurement using micro-arrays and environmental data. Multimorbidity in the same child is more common than expected by chance alone, suggesting that these diseases share causal mechanisms irrespective of IgE sensitisation. IgE sensitisation should be considered differently in mono and polysensitized individuals. Allergic multimorbidities and IgE polysensitization are often associated with the persistence or severity of allergic diseases. Environmental exposures are relevant for the development of allergy-related diseases. To complement the population-based studies in children, MeDALL included mechanistic experimental animal studies and in vitro studies in humans. The integration of multimorbidities and polysensitization has resulted in a new classification framework of allergic diseases that could help to improve the understanding of genetic and epigenetic mechanisms of allergy as well as to better manage allergic diseases. Ethics and gender were considered. MeDALL had translational activities deployed within the EU agenda.

Published
2016

30. The independent role of prenatal and postnatal exposure to active and passive smoking on the development of early wheeze in children

Author

Vardavas, C.I., primary, Hohmann, C., additional, Patelarou, E., additional, Martinez, D., additional, Henderson, A.J., additional, Granell, R., additional, Sunyer, J., additional, Torrent, M., additional, Fantini, M.P., additional, Gori, D., additional, Annesi-Maesano, I., additional, Slama, R., additional, Duijts, L., additional, de Jongste, J.C., additional, Aurrekoetxea, J.J., additional, Basterrechea, M., additional, Morales, E., additional, Ballester, F., additional, Murcia, M., additional, Thijs, C., additional, Mommers, M., additional, Kuehni, C.E., additional, Gaillard, E.A., additional, Tischer, C., additional, Heinrich, J., additional, Pizzi, C., additional, Zugna, D., additional, Gehring, U., additional, Wijga, A., additional, Chatzi, L., additional, Vassilaki, M., additional, Bergström, A., additional, Eller, E., additional, Lau, S., additional, Keil, T., additional, Nieuwenhuijsen, M., additional, and Kogevinas, M., additional

Published
2016
Full Text
View/download PDF

31. Maternal complications in pregnancy and wheezing in early childhood: a pooled analysis of 14 birth cohorts

Author

Zugna, D., Zugna, D., Galassi, C., Annesi-Maesano, I., Baïz, N., Barros, H., Basterrechea, M., Correia, S., Duijts, L., Esplugues, A., Fantini, M.P., Forastiere, F., Gascon, M., Gori, D., Inskip, H., Larsen, P.S., Mommers, M., Andersen, A.M.N., Penders, J., Petersen, M.S., Pike, K., Porta, D., Sonnenschein-van der Voort, A., Steuerwald, U., Sunyer, J., Torrent, M., Vrijheid, M., Richiardi, L., Rusconi, F., Zugna, D., Zugna, D., Galassi, C., Annesi-Maesano, I., Baïz, N., Barros, H., Basterrechea, M., Correia, S., Duijts, L., Esplugues, A., Fantini, M.P., Forastiere, F., Gascon, M., Gori, D., Inskip, H., Larsen, P.S., Mommers, M., Andersen, A.M.N., Penders, J., Petersen, M.S., Pike, K., Porta, D., Sonnenschein-van der Voort, A., Steuerwald, U., Sunyer, J., Torrent, M., Vrijheid, M., Richiardi, L., and Rusconi, F.

Abstract

BACKGROUND:: Evidence on the effect of maternal complications in pregnancy on wheezing in offspring is still insufficient. METHODS:: A pooled analysis was performed on individual participant data from fourteen European birth cohorts to assess the relationship between several maternal pregnancy complications and wheezing symptoms in the offspring. Exposures of interest included hypertension and preeclampsia, diabetes, as well as pre-pregnancy overweight (body mass index between 25 and 29.9) and obesity (body mass index >/=30) compared with normal weight (body mass index between 18.5 and 24.9). Outcomes included both ever and recurrent wheezing from birth up to 12-24 months of age. Cohort-specific crude and adjusted risk ratios (RR) were calculated using log-binomial regression models and then pooled using a random effects model. RESULTS:: The study included 85 509 subjects. Cohort-specific prevalence of ever wheezing varied from 20.0% to 47.3%, and of recurrent wheezing from 3.0% to 14.3%. Adjusted pooled RR for ever and recurrent wheezing were: 1.02 (95% CI: 0.98-1.06) and 1.20 (95% CI: 0.98-1.47) for hypertensive disorders; 1.09 (95% CI: 1.01-1.18) and 1.23 (95% CI: 1.07-1.43) for preeclampsia; 1.04 (95% CI: 0.97-1.13) and 1.24 (95% CI: 0.86-1.79) for diabetes; 1.08 (95% CI: 1.05-1.11) and 1.19 (95% CI: 1.12-1.26) for overweight; 1.12 (95% CI: 1.08-1.17) and 1.16 (95% CI: 0.97-1.39) for obesity. No heterogeneity was found in RR estimates among the cohorts, except for diabetes and recurrent wheezing (P = 0.027). CONCLUSIONS:: Preeclampsia, maternal pre-pregnancy overweight and obesity are associated with an increase risk of wheezing in the offspring.

Published
2015

33. Preterm birth, infant weight gain, and childhood asthma risk: A meta-analysis of 147,000 European children

Author

Sonnenschein-Voort, A.M.M. (Agnes) van der, Arends, L.R. (Lidia), Jongste, J.C. (Johan) de, Annesi-Maesano, I. (Isabella), Arshad, S.H. (Syed), Barros, A.I. (Ana), Basterrechea, M. (Mikel), Bisgaard, H. (Hans), Chatzi, L. (Leda), Corpeleijn, W.E. (Willemijn), Correia, S. (Sofia), Craig, L.C.A. (Leone C.), Devereux, M.P. (Michael ), Dogaru, T. (Teodora), Dostal, M. (Miroslav), Duchen, K. (Karel), Eggesbø, M. (Merete), Ent, C.K. (Cornelis) van der, Fantini, M.P. (Maria), Forastiere, F. (Francesco), Frey, U. (Urs), Gehring, U. (Ulrike), Gori, D. (Davide), Gugten, A.C. (Anne) van der, Hanke, W. (Wojciech), Henderson, A. (Alex), Heude, B. (Barbara), Iñiguez, A. (Andrés), Inskip, H.M. (Hazel), Keil, M. (Mark), Kelleher, J.F. (Joseph), Kogevinas, M. (Manolis), Kreiner-Møller, E. (Eskil), Kuehni, C. (Claudia), Küpers, L.K. (Leanne), Lancz, K. (Kinga), Larsen, P.S. (Pernille), Lau, S. (Susanne), Ludvigsson, J., Mommers, M. (Monique), Nybo Andersen, A.-M. (Anne-Marie), Palkovicova, L. (Lubica), Pike, K.C. (Katharine), Pizzi, C. (Costanza), Polanska, K. (Kinga), Porta, D. (Daniela), Richiardi, L. (Lorenzo), Roberts, G., Schmidt, A. (Anne), Sram, R.J. (Radim), Sunyer, J. (Jordi), Thijs, C. (Carel), Torrent, M. (Maties), Viljoen, K. (Karien), Wijga, A.H. (Alet), Vrijheid, M. (Martine), Jaddoe, V.W.V. (Vincent), Duijts, L. (Liesbeth), Sonnenschein-Voort, A.M.M. (Agnes) van der, Arends, L.R. (Lidia), Jongste, J.C. (Johan) de, Annesi-Maesano, I. (Isabella), Arshad, S.H. (Syed), Barros, A.I. (Ana), Basterrechea, M. (Mikel), Bisgaard, H. (Hans), Chatzi, L. (Leda), Corpeleijn, W.E. (Willemijn), Correia, S. (Sofia), Craig, L.C.A. (Leone C.), Devereux, M.P. (Michael ), Dogaru, T. (Teodora), Dostal, M. (Miroslav), Duchen, K. (Karel), Eggesbø, M. (Merete), Ent, C.K. (Cornelis) van der, Fantini, M.P. (Maria), Forastiere, F. (Francesco), Frey, U. (Urs), Gehring, U. (Ulrike), Gori, D. (Davide), Gugten, A.C. (Anne) van der, Hanke, W. (Wojciech), Henderson, A. (Alex), Heude, B. (Barbara), Iñiguez, A. (Andrés), Inskip, H.M. (Hazel), Keil, M. (Mark), Kelleher, J.F. (Joseph), Kogevinas, M. (Manolis), Kreiner-Møller, E. (Eskil), Kuehni, C. (Claudia), Küpers, L.K. (Leanne), Lancz, K. (Kinga), Larsen, P.S. (Pernille), Lau, S. (Susanne), Ludvigsson, J., Mommers, M. (Monique), Nybo Andersen, A.-M. (Anne-Marie), Palkovicova, L. (Lubica), Pike, K.C. (Katharine), Pizzi, C. (Costanza), Polanska, K. (Kinga), Porta, D. (Daniela), Richiardi, L. (Lorenzo), Roberts, G., Schmidt, A. (Anne), Sram, R.J. (Radim), Sunyer, J. (Jordi), Thijs, C. (Carel), Torrent, M. (Maties), Viljoen, K. (Karien), Wijga, A.H. (Alet), Vrijheid, M. (Martine), Jaddoe, V.W.V. (Vincent), and Duijts, L. (Liesbeth)

Abstract

Background Preterm birth, low birth weight, and infant catch-up growth seem associated with an increased risk of respiratory diseases in later life, but individual studies showed conflicting results. Objectives We performed an individual participant data meta-analysis for 147,252 children of 31 birth cohort studies to determine the associations of birth and infant growth characteristics with the risks of preschool wheezing (1-4 years) and school-age asthma (5-10 years). Methods First, we performed an adjusted 1-stage random-effect meta-analysis to assess the combined associations of gestational age, birth weight, and infant weight gain with childhood asthma. Second, we performed an adjusted 2-stage random-effect meta-analysis to assess the associations of preterm birth (gestational age <37 weeks) and low birth weight (<2500 g) with childhood asthma outcomes. Results Younger gestational age at birth and higher infant weight gain were independently associated with higher risks of preschool wheezing and school-age asthma (P <.05). The inverse associations of birth weight with childhood asthma were explained by gestational age at birth. Compared with term-born children with normal infant weight gain, we observed the highest risks of school-age asthma in children born preterm with high infant weight gain (odds ratio [OR], 4.47; 95% CI, 2.58-7.76). Preterm birth was positively associated with an increased risk of preschool wheezing (pooled odds ratio [pOR], 1.34; 95% CI, 1.25-1.43) and school-age asthma (pOR, 1.40; 95% CI, 1.18-1.67) independent of birth weight. Weaker effect estimates were observed for the associations of low birth weight adjusted for gestational age at birth with preschool wheezing (pOR, 1.10; 95% CI, 1.00-1.21) and school-age asthma (pOR, 1.13; 95% CI, 1.01-1.27). Conclusion Younger gestational age at birth and higher infant weight gain were associated with childhood asthma outcomes. The associations of lower birth weight with childhood asthma were lar

Published
2014
Full Text
View/download PDF

35. The superparamagnetic iron oxide tracer: a valid alternative in sentinel node biopsy for breast cancer treatment.

Author

Ghilli, M., Carretta, E., Di Filippo, F., Battaglia, C., Fustaino, L., Galanou, I., Di Filippo, S., Rucci, P., Fantini, M.P., and Roncella, M.

Subjects
BREAST tumors, CONFIDENCE intervals, IRON, LONGITUDINAL method, MAGNETICS, MEDICAL cooperation, NANOPARTICLES, RESEARCH, RESEARCH funding, STATISTICAL sampling, TUMOR classification, SAMPLE size (Statistics), EVALUATION research, DESCRIPTIVE statistics, SENTINEL lymph node biopsy, EQUIPMENT & supplies
Abstract

The European Union has determined that from 2016 breast cancer patients should be treated in Specialist Breast Units that achieve the minimum standards for the mandatory quality indicators as defined by Eusoma. The existing standard for axillary lymph node staging in breast cancer is sentinel node biopsy (SNB), performed using Technetium-sulphur colloid (99mTc) alone or with blue dye. The major limits of radioisotope consist in the problems linked to radioactivity, in the shortage of tracer and nuclear medicine units. Among existing alternative tracers, SentiMag®, which uses superparamagnetic iron oxide particles, can represent a valid option for SNB. We conducted a paired, prospective, multicentre study to evaluate the non-inferiority of SentiMag® vs. 99mTc. The primary end point was the detection rate (DR) per patient. The study sample consists of 193 women affected by breast carcinoma with negative axillary assessment. The concordance rate per patients between 99mTc and SentiMag® was 97.9%. The DR per patient was 99.0% for 99mTc and 97.9% for SentiMag®. SentiMag® appears to be non-inferior to the radiotracer and safe. While 99mTc remains the standard, SentiMag® DR appears adequate after a minimum learning curve. In health care settings where nuclear medicine units are not available, SentiMag/Sienna+® allows effective treatment of breast cancer patients. [ABSTRACT FROM AUTHOR]

Published
2017
Full Text
View/download PDF

37. Pregnancy and birth cohort resources in europe: a large opportunity for aetiological child health research

Author

Larsen, P.S., Kamper-Jorgensen, M., Adamson, A., Barros, H., Bonde, J.P., Brescianini, S., Brophy, S., Casas, M., Devereux, G., Eggesbo, M., Fantini, M.P., Frey, U., Gehring, U., Grazuleviciene, R., Henriksen, T.B., Hertz-Picciotto, I., Heude, B., Hryhorczuk, D.O., Inskip, H., Jaddoe, V.W., Lawlor, D.A., Ludvigsson, J., Kelleher, C., Kiess, W., Koletzko, B., Kuehni, C.E., Kull, I., Kyhl, H.B., Magnus, P., Momas, I., Murray, D., Pekkanen, J., Polanska, K., Porta, D., Poulsen, G., Richiardi, L., Roeleveld, N., Skovgaard, A.M., Sram, R.J., Strandberg-Larsen, K., Thijs, C., Eijsden, M. Van, Wright, J., Vrijheid, M., Andersen, A.M., Larsen, P.S., Kamper-Jorgensen, M., Adamson, A., Barros, H., Bonde, J.P., Brescianini, S., Brophy, S., Casas, M., Devereux, G., Eggesbo, M., Fantini, M.P., Frey, U., Gehring, U., Grazuleviciene, R., Henriksen, T.B., Hertz-Picciotto, I., Heude, B., Hryhorczuk, D.O., Inskip, H., Jaddoe, V.W., Lawlor, D.A., Ludvigsson, J., Kelleher, C., Kiess, W., Koletzko, B., Kuehni, C.E., Kull, I., Kyhl, H.B., Magnus, P., Momas, I., Murray, D., Pekkanen, J., Polanska, K., Porta, D., Poulsen, G., Richiardi, L., Roeleveld, N., Skovgaard, A.M., Sram, R.J., Strandberg-Larsen, K., Thijs, C., Eijsden, M. Van, Wright, J., Vrijheid, M., and Andersen, A.M.

Abstract

Item does not contain fulltext, BACKGROUND: During the past 25 years, many pregnancy and birth cohorts have been established. Each cohort provides unique opportunities for examining associations of early-life exposures with child development and health. However, to fully exploit the large amount of available resources and to facilitate cross-cohort collaboration, it is necessary to have accessible information on each cohort and its individual characteristics. The aim of this work was to provide an overview of European pregnancy and birth cohorts registered in a freely accessible database located at http://www.birthcohorts.net. METHODS: European pregnancy and birth cohorts initiated in 1980 or later with at least 300 mother-child pairs enrolled during pregnancy or at birth, and with postnatal data, were eligible for inclusion. Eligible cohorts were invited to provide information on the data and biological samples collected, as well as the timing of data collection. RESULTS: In total, 70 cohorts were identified. Of these, 56 fulfilled the inclusion criteria encompassing a total of more than 500,000 live-born European children. The cohorts represented 19 countries with the majority of cohorts located in Northern and Western Europe. Some cohorts were general with multiple aims, whilst others focused on specific health or exposure-related research questions. CONCLUSION: This work demonstrates a great potential for cross-cohort collaboration addressing important aspects of child health. The web site, http://www.birthcohorts.net, proved to be a useful tool for accessing information on European pregnancy and birth cohorts and their characteristics.

Published
2013

38. European birth cohorts for environmental health research

Author

Vrijheid, M. (Martine), Casas, M. (Maribel), Bergström, A. (Anna), Carmichael, A. (Amanda), Cordier, S. (Sylvaine), Eggesbø, M. (Merete), Eller, E. (Esben), Fantini, M.P. (Maria), Fernandez, M.F. (Mariana), Fernández-Somoano, A. (Ana), Gehring, U. (Ulrike), Grazuleviciene, R. (Regina), Hohmann, C. (C.), Karvonen, S.L., Keil, M. (Mark), Kogevinas, M. (Manolis), Koppen, G. (Gudrun), Krämer, U. (Ursula), Kuehni, C. (Claudia), Magnus, P. (Per), Majewska, R. (Renata), Nybo Andersen, A.-M. (Anne-Marie), Patelarou, E. (Evridiki), Petersen, M.S. (Maria Skaalum), Pierik, F.H. (Frank), Polanska, K. (Kinga), Porta, D. (Daniela), Richiardi, L. (Lorenzo), Santos, A.C. (Ana Cristina), Slama, R. (Rémy), Sram, R.J. (Radim), Thijs, C. (Carel), Tischer, C. (Christina), Toft, G. (Gunnar), Trnovec, T. (Tomáš), Vandentorren, S. (Stéphanie), Vrijkotte, T.G.M. (Tanja), Wilhelm, M. (Michael), Wright, J. (Juliet), Nieuwenhuijsen, M. (Mark), Vrijheid, M. (Martine), Casas, M. (Maribel), Bergström, A. (Anna), Carmichael, A. (Amanda), Cordier, S. (Sylvaine), Eggesbø, M. (Merete), Eller, E. (Esben), Fantini, M.P. (Maria), Fernandez, M.F. (Mariana), Fernández-Somoano, A. (Ana), Gehring, U. (Ulrike), Grazuleviciene, R. (Regina), Hohmann, C. (C.), Karvonen, S.L., Keil, M. (Mark), Kogevinas, M. (Manolis), Koppen, G. (Gudrun), Krämer, U. (Ursula), Kuehni, C. (Claudia), Magnus, P. (Per), Majewska, R. (Renata), Nybo Andersen, A.-M. (Anne-Marie), Patelarou, E. (Evridiki), Petersen, M.S. (Maria Skaalum), Pierik, F.H. (Frank), Polanska, K. (Kinga), Porta, D. (Daniela), Richiardi, L. (Lorenzo), Santos, A.C. (Ana Cristina), Slama, R. (Rémy), Sram, R.J. (Radim), Thijs, C. (Carel), Tischer, C. (Christina), Toft, G. (Gunnar), Trnovec, T. (Tomáš), Vandentorren, S. (Stéphanie), Vrijkotte, T.G.M. (Tanja), Wilhelm, M. (Michael), Wright, J. (Juliet), and Nieuwenhuijsen, M. (Mark)

Published
2012
Full Text
View/download PDF

39. European birth cohorts for environmental health research

Author

Risk Assessment of Toxic and Immunomodulatory Agents, Dep IRAS, Vrijheid, M., Casas, M., Bergström, A., Carmichael, A., Cordier, S., Eggesbø, M., Eller, E., Fantini, M.P., Fernández, M.F., Fernández-Somoano, A., Gehring, U., Grazuleviciene, R., Hohmann, C., Karvonen, A.M., Keil, T., Kogevinas, M., Koppen, G., Krämer, U., Kuehni, C.E., Magnus, P., Majewska, R., Andersen, A., Patelarou, E., Petersen, M., Pierik, F.H., Polanska, K., Porta, D., Richiardi, L., Santos, A, Slama, R., Sram, R.J., Thijs, C., Tischer, C., Toft, G., Trnovec, T., Vandentorren, S., Vrijkotte, T.G.M., Wilhelm, M., Wright, J., Nieuwenhuijsen, M., Risk Assessment of Toxic and Immunomodulatory Agents, Dep IRAS, Vrijheid, M., Casas, M., Bergström, A., Carmichael, A., Cordier, S., Eggesbø, M., Eller, E., Fantini, M.P., Fernández, M.F., Fernández-Somoano, A., Gehring, U., Grazuleviciene, R., Hohmann, C., Karvonen, A.M., Keil, T., Kogevinas, M., Koppen, G., Krämer, U., Kuehni, C.E., Magnus, P., Majewska, R., Andersen, A., Patelarou, E., Petersen, M., Pierik, F.H., Polanska, K., Porta, D., Richiardi, L., Santos, A, Slama, R., Sram, R.J., Thijs, C., Tischer, C., Toft, G., Trnovec, T., Vandentorren, S., Vrijkotte, T.G.M., Wilhelm, M., Wright, J., and Nieuwenhuijsen, M.

Published
2012

40. Meta-analysis of mould and dampness exposure on asthma and allergy in eight European birth cohorts: an ENRIECO initiative

Author

Tischer, C.G., Hohmann, C., Thiering, E., Herbarth, O., Müller, Andrea, Henderson, J., Granell, R., Fantini, M.P., Luciano, L., Bergström, A., Kull, I., Link, E., von Berg, A., Kuehni, C.E., Strippoli, M.P.F., Gehring, U., Wijga, A., Eller, E., Bindslev-Jensen, C., Keil, T., Heinrich, J., Tischer, C.G., Hohmann, C., Thiering, E., Herbarth, O., Müller, Andrea, Henderson, J., Granell, R., Fantini, M.P., Luciano, L., Bergström, A., Kull, I., Link, E., von Berg, A., Kuehni, C.E., Strippoli, M.P.F., Gehring, U., Wijga, A., Eller, E., Bindslev-Jensen, C., Keil, T., and Heinrich, J.

Abstract

Background: Several cross-sectional studies during the past 10 years have observed an increased risk of allergic outcomes for children living in damp or mouldy environments.Objective: The objective of this study was to investigate whether reported mould or dampness exposure in early life is associated with the development of allergic disorders in children from eight European birth cohorts.Methods: We analysed data from 31 742 children from eight ongoing European birth cohorts. Exposure to mould and allergic health outcomes were assessed by parental questionnaires at different time points. Meta-analyses with fixed- and random-effect models were applied. The number of the studies included in each analysis varied based on the outcome data available for each cohort.Results: Exposure to visible mould and/or dampness during first 2 years of life was associated with an increased risk of developing asthma: there was a significant association with early asthma symptoms in meta-analyses of four cohorts [0–2 years: adjusted odds ratios (aOR), 1.39 (95%CI, 1.05–1.84)] and with asthma later in childhood in six cohorts [6–8 years: aOR, 1.09(95%CI, 0.90–1.32) and 3–10 years: aOR, 1.10 (95%CI, 0.90–1.34)]. A statistically significant association was observed in six cohorts with symptoms of allergic rhinitis at school age [6–8 years: aOR, 1.12 (1.02–1.23)] and at any time point between 3 and 10 years [aOR, 1.18 (1.09–1.28)].Conclusion: These findings suggest that a mouldy home environment in early life is associated with an increased risk of asthma particularly in young children and allergic rhinitis symptoms in school-age children.

Published
2011

41. Meta-analysis of determinants for pet ownership in 12 European birth cohorts on asthma and allergies: a GA(2)LEN initiative

Author

Eller, E., Roll, S., Chen, C.M., Herbarth, Olf, Wichmann, H.-E., von Berg, A., Krämer, U., Mommers, M., Thijs, C., Wijga, A., Brunekreef, B., Fantini, M.P., Bravi, F., Forastiere, F., Porta, D., Sunyer, J., Torrent, M., Host, A., Halken, S., Carlsen, K.C.L., Carlsen, K.H., Wickman, M., Kull, I., Wahn, U., Willich, S.N., Lau, Steffen, Keil, T., Heinrich, J., Eller, E., Roll, S., Chen, C.M., Herbarth, Olf, Wichmann, H.-E., von Berg, A., Krämer, U., Mommers, M., Thijs, C., Wijga, A., Brunekreef, B., Fantini, M.P., Bravi, F., Forastiere, F., Porta, D., Sunyer, J., Torrent, M., Host, A., Halken, S., Carlsen, K.C.L., Carlsen, K.H., Wickman, M., Kull, I., Wahn, U., Willich, S.N., Lau, Steffen, Keil, T., and Heinrich, J.

Abstract

Background: Studies on pet ownership as a risk or protective factor for asthma and allergy show inconsistent results. This may be on account of insufficient adjustment of confounding factors. Aim: The objective of this study was to describe determinants of cat and dog ownership in European families with and without allergies. Methods: Within the EU-funded network of excellence GA(2)LEN, we performed meta-analyses with data from 12 ongoing European birth cohort studies on asthma and allergy. Each of the birth cohort studies enrolled between 485 and 4089 children. Pet ownership, allergic status (asthma, allergic rhinitis, eczema) of parents and siblings, parental education, access to ground floor, and number of people living at home were assessed by questionnaires. Results: Among the 25 056 families from seven European countries cats (14.9%) were more common than dogs (12.0%). Allergic family history significantly reduced the odds to own a cat (adjusted combined random-effect OR 0.91; 95% CI 0.85-0.99), or dog (0.90; 0.86-0.94). A higher parental educational level had even more pronounced effects on cat (0.84; 0.71-0.98), and dog ownership (0.61; 0.54-0.70). Elder siblings reduced the odds to own cats, but not dogs. Convenient ground access significantly increased the odds, whereas crowding at home was not associated with cat or dog ownership. Conclusions: The chances to own a cat or dog were significantly reduced in allergic families, in parents with a higher educational level, and in homes without convenient ground access. In addition to parental allergies, social and housing factors should be considered as potential confounders in studies on pet exposure and allergic diseases

Published
2008

44. Measuring costs of community mental health care in Italy: A prevalence-based study.

Author

Senese, F., Rucci, P., Fantini, M.P., Gibertoni, D., Semrov, E., Nassisi, M., Messina, R., and Travaglini, C.

Subjects
*REGRESSION analysis, *DISEASE prevalence, *COMMUNITY services, *MEDICAL rehabilitation, *MENTAL health services
Abstract

Background Information on individual mental healthcare costs and utilization patterns in Italy is scant. We analysed the use and the annual costs of community mental health services (MHS) in an Italian local health authority (LHA). Our aims are to compare the characteristics of patients in the top decile of costs with those of the remaining 90%, and to investigate the demographic and clinical determinants of costs. Methods This retrospective study is based on administrative data of adult patients with at least one contact with MHS in 2013. Costs of services were estimated using a microcosting method. We defined as high cost (HC) those patients whose community mental health services costs place them in the top decile of the cost distribution. The predictors of costs were investigated using multiple linear regression. Results The overall costs borne for 7601 patients were 17 million €, with HC accounting for 87% of costs and 73% of services. Compared with the rest of the patients, HC were younger, more likely to be male, to have a diagnosis of psychosis, and longer and more intensive MHS utilization. In multiple linear regression, younger age, longer duration of contact with MHS, psychosis, bipolar disorder, personality disorder, depression, dementia and Italian citizenship accounted for 20.7% of cost variance. Conclusion Direct mental health costs are concentrated among a small fraction of patients who receive intensive socio-rehabilitation in community services. One limitation includes the unavailability of hospital costs. Our methodology is replicable and useful for national and cross-national benchmarking. [ABSTRACT FROM AUTHOR]

Published
2018
Full Text
View/download PDF

45. Safety of COVID-19 Vaccines Among the Paediatric Population: Analysis of the European Surveillance Systems and Pivotal Clinical Trials

Author

Ahmadizar F., Luxi N., Raethke M., Schmikli S., Riefolo F., Saraswati P. W., Bucsa C., Osman A., Liddiard M., Maques F. B., Petrelli G., Sonderlichova S., Thurin N. H., Villalobos F., Trifiro G., Sturkenboom M., Moretti U., Bellitto C., Ciccimarra F., Gonella L. A., Arzenton E., Chiamulera C., Lora R., Bellantuono D., Sabaini A., Firenze A., Zodda D., Guidotti F., Zappone M., Alagna B., Cutroneo P. M., Minore C., Costantino C., Vitale F., D'Alessandro G., Morreale I., Marsala L., Farinella D., Bavetta S., Fantini M. P., Reno C., Raschi E., Poluzzi E., Sapigni E., Potenza A. M., Podetti D., Nikitina V., Ricciardelli R., Mogheiseh N., Croce S., Paltrinieri B., Castellani S., Sangiorgi E., Selleri M., Lucchesi S., Catucci G., Savini D., Sacripanti C., Faccioli M., Romio M. S., Rossi L., Radici S., Negri G., Fares L., Ajolfi C., Fadda A., Chiarello A., Pieraccini F., Gavioli B., Palazzi S., Tuccori M., Vannacci A., Bonaiuti R., Ravaldi C., Lombardi N., Crescioli G., Gori F., Tessari R., Zandona E., Zanoni G., Senna G., Crivellaro M. A., Cancian M., Venturini F., Ferri M., Leonardi L., Orzetti S., Caccin E., Baldo P., Capuano A., Rafaniello C., Ferrajolo C., Pagliaro C., Mercaldo M., di Giorgio A., Tari M., Manna S., Farina G., Di Mauro C., De Carlo I., Senesi I., Pileggi C., Palleria C., Gallelli L., De Sarro G., de Sarro C., Verduci C., Papadopoli R., Trabace L., Morgese M., Schiavone S., Tucci P., Bove M., Lapi F., Cricelli C., Racagni G., Tonolo S., Fava G., Giuffrida S., Amato V., Gambera M., Montresor V., Mastropasqua D., Ahmadizar F., Luxi N., Raethke M., Schmikli S., Riefolo F., Saraswati P.W., Bucsa C., Osman A., Liddiard M., Maques F.B., Petrelli G., Sonderlichova S., Thurin N.H., Villalobos F., Trifiro G., Sturkenboom M., Moretti U., Bellitto C., Ciccimarra F., Gonella L.A., Arzenton E., Chiamulera C., Lora R., Bellantuono D., Sabaini A., Firenze A., Zodda D., Guidotti F., Zappone M., Alagna B., Cutroneo P.M., Minore C., Costantino C., Vitale F., D'Alessandro G., Morreale I., Marsala L., Farinella D., Bavetta S., Fantini M.P., Reno C., Raschi E., Poluzzi E., Sapigni E., Potenza A.M., Podetti D., Nikitina V., Ricciardelli R., Mogheiseh N., Croce S., Paltrinieri B., Castellani S., Sangiorgi E., Selleri M., Lucchesi S., Catucci G., Savini D., Sacripanti C., Faccioli M., Romio M.S., Rossi L., Radici S., Negri G., Fares L., Ajolfi C., Fadda A., Chiarello A., Pieraccini F., Gavioli B., Palazzi S., Tuccori M., Vannacci A., Bonaiuti R., Ravaldi C., Lombardi N., Crescioli G., Gori F., Tessari R., Zandona E., Zanoni G., Senna G., Crivellaro M.A., Cancian M., Venturini F., Ferri M., Leonardi L., Orzetti S., Caccin E., Baldo P., Capuano A., Rafaniello C., Ferrajolo C., Pagliaro C., Mercaldo M., di Giorgio A., Tari M., Manna S., Farina G., Di Mauro C., De Carlo I., Senesi I., Pileggi C., Palleria C., Gallelli L., De Sarro G., de Sarro C., Verduci C., Papadopoli R., Trabace L., Morgese M., Schiavone S., Tucci P., Bove M., Lapi F., Cricelli C., Racagni G., Tonolo S., Fava G., Giuffrida S., Amato V., Gambera M., Montresor V., and Mastropasqua D.

Subjects
COVID-19 Vaccines, safety, Surveillance Systems, Pivotal Clinical Trials
Abstract

Background and Objectives: The European Medicine Agency extended the use of Comirnaty, Spikevax, and Nuvaxovid in paediatrics; thus, these vaccines require additional real-world safety evidence. Herein, we aimed to monitor the safety of COVID-19 vaccines through Covid-19 Vaccine Monitor (CVM) and EudraVigilance surveillance systems and the published pivotal clinical trials. Methods: In a prospective cohort of vaccinees aged between 5 and 17 years, we measured the frequency of commonly reported (local/systemic solicited) and serious adverse drug events (ADRs) following the first and second doses of COVID-19 vaccines in Europe using data from the CVM cohort until April 2022. The results of previous pivotal clinical trials and data in the EudraVigilance were also analysed. Results: The CVM study enrolled 658 first-dose vaccinees (children aged 5–11 years; n = 250 and adolescents aged 12–17 years; n = 408). Local/systemic solicited ADRs were common, whereas serious ADRs were uncommon. Among Comirnaty first and second dose recipients, 28.8% and 17.1% of children and 54.2% and 52.2% of adolescents experienced at least one ADR, respectively; injection-site pain (29.2% and 20.7%), fatigue (16.1% and 12.8%), and headache (22.1% and 19.3%) were the most frequent local and systemic ADRs. Results were consistent but slightly lower than in pivotal clinical trials. Reporting rates in Eudravigilance were lower by a factor of 1000. Conclusions: The CVM study showed high frequencies of local solicited reactions after vaccination but lower rates than in pivotal clinical trials. Injection-site pain, fatigue, and headache were the most commonly reported ADRs for clinical trials, but higher than spontaneously reported data.

Published
2023

46. Are psychological status and trust in information related to vaccine hesitancy during COVID-19 pandemic? A latent class and mediation analyses in Italy

Author

Elisa Maietti, Chiara Reno, Francesco Sanmarchi, Marco Montalti, Maria Pia Fantini, Davide Gori, Maietti E., Reno C., Sanmarchi F., Montalti M., Fantini M.P., and Gori D.

Subjects
latent class analysi, Pharmacology, COVID-19, latent class analysis, mediation model, psychological impact, trust, vaccine hesitancy, Immunology, Immunology and Allergy
Abstract

Despite the recognized benefits of the COVID-19 vaccination, vaccine hesitancy (VH) remains one of the biggest challenges of the mass vaccination campaign. Most studies investigating VH determinants focused on socio-demographics and direct relationships. In this study, we aimed at: 1) identifying subgroups of people differently affected by the pandemic, in terms of psychological status; 2) investigating the role of psychological status and trust in information as possible mediators of the relationship between individual characteristics and VH. To this purpose, a latent class analysis (LCA) followed by a mediation analysis were carried out on data from a survey conducted in January 2021 on 1011 Italian citizens. LCA identified four different subgroups characterized by a differential psychological impact of the pandemic: the extremely affected (21.1%), the highly affected (49.1%), the moderately affected (21.8%) and the slightly affected (8%). We found that VH decreased with the increase of psychological impact (from 59.3% to 23.9%). In the mediation analysis, past vaccination refusal, age 45-54 years and lower-than-average income, were all indirectly related to higher VH through mistrust in COVID-19 information. Differently, the psychological impact counteracted the greater VH in females, the negative effect of social media among youngest (

Published
2022

47. Is it time to consider depression as a major complication of type 2 diabetes? Evidence from a large population-based cohort study

Author

Simona Rosa, Paola Rucci, Maria Pia Fantini, Antonio Nicolucci, Paolo Di Bartolo, Rossella Messina, Mattia Altini, Francesca Bravi, Carlotta Lunghi, Marica Iommi, Chiara Reno, Messina R., Iommi M., Rucci P., Reno C., Fantini M.P., Lunghi C., Altini M., Bravi F., Rosa S., Nicolucci A., and Di Bartolo P.

Subjects
Pediatrics, medicine.medical_specialty, Complications, Epidemiology, Endocrinology, Diabetes and Metabolism, Population, Type 2 diabetes, Clinical diabetes, Psychological aspects, Cohort Studies, Endocrinology, Clinical diabete, Risk Factors, Diabetes mellitus, Internal Medicine, History of depression, Medicine, Humans, Risk factor, education, Depression (differential diagnoses), Aged, Retrospective Studies, education.field_of_study, business.industry, Depression, Incidence, Retrospective cohort study, General Medicine, medicine.disease, Diabetes Mellitus, Type 2, Original Article, Female, business, Complication, Cohort study
Abstract

Aims Depression in type 2 diabetes may heavily affect the course of the disease. In this study, we investigated, among new cases with type 2 diabetes, the incidence and clinical predictors of depression and determined the extent to which depression constitutes a risk factor for acute and long-term diabetes complications and mortality. Methods In this population-based retrospective cohort study, incident cases of type 2 diabetes without a prior history of depression were identified from the administrative databases of the Emilia-Romagna Region, Italy, between 2008 and 2017 and followed up until 2020. Logistic regression models were used to identify the predictors of depression. Cox regression models were used to estimate the risk of acute complications over three years, and the risk of long-term complications and mortality over ten years. Results Incident cases with type 2 diabetes were 30,815, of whom 5146 (16.7%) developed depression. The predictors of depression onset were as follows: female sex, age > 65 years, living in rural areas and comorbid diseases. Depression in type 2 diabetes was associated with a 2.3-fold risk of developing acute complications, 1.6-fold risk of developing long-term complications and 2.8-fold mortality risk. Conclusions Our findings highlight that depression is associated with an increased risk for complications in type 2 diabetes and mortality and should not be neglected. Therefore, it is important to promote screening activities and introduce targeted and personalized treatment for depression in order to reduce the risk of poor short- and long-term outcomes of diabetes.

Published
2021

49. The impact of health policies and vaccine rollout on the COVID-19 pandemic waves in Italy

Author

Chiara Reno, Francesco Sanmarchi, Michael A. Stoto, Maria Pia Fantini, Jacopo Lenzi, Davide Golinelli, Reno C., Sanmarchi F., Stoto M.A., Fantini M.P., Lenzi J., and Golinelli D.

Subjects
COVID-19, COVID-19 vaccination, Case fatality rate, Health policy, Italy, vaccination campaign, Biomedical Engineering
Abstract

Background: Over the course of the COVID-19 pandemic in Italy, different response measures were taken to contain the spread of the virus. These include a variety of non-pharmaceutical interventions and a mass vaccination campaign. While not definitive, epidemiological measures provide some indication of the impact of such measures on the dynamics of the pandemic and lessons to better prepare for future emergencies. Objective: To describe the impact of vaccine rollout and health policies on the evolution of the COVID-19 pandemic in Italy from March 2020 to October 2021 using a set of epidemiological indicators. Methods: We performed a time-trend analysis of new confirmed COVID-19 cases, patients in hospital, and deaths. Using line charts, we informally assessed the relationship of these indicators with the immunization campaign and other health policies. Daily aggregate data were gathered from GitHub repositories of certified data from Italy's Government and Civil Protection. Results: The immunization coverage increased starting in March 2021, with a parallel decrease in COVID-19 infections, hospitalizations, and deaths. Despite different implementation approaches, the vaccine coverage growth rate had a similar pattern across regions. A comprehensive approach including measures such as requiring face masks and a “Green Pass” to enter indoor places also helped contain the pandemic. Conclusions: The vaccine rollout had a major effect on COVID-19 in Italy, especially on hospitalizations and deaths. Before the vaccine was available, however, other non-pharmaceutical interventions also helped to contain the spread of the virus and mitigate its effect on the population.

Published
2022

50. Variations of the quality of care during the COVID-19 pandemic affected the mortality rate of non-COVID-19 patients with hip fracture

Author

Davide Golinelli, Francesco Sanmarchi, Angelo Capodici, Giorgia Gribaudo, Mattia Altini, Simona Rosa, Francesco Esposito, Maria Pia Fantini, Jacopo Lenzi, Golinelli D., Sanmarchi F., Capodici A., Gribaudo G., Altini M., Rosa S., Esposito F., Fantini M.P., and Lenzi J.

Subjects
Aged, 80 and over, Male, Multidisciplinary, Hip fractures, COVID-19, Healthcare quality, Frail elderly, Italy, Surgery, Hip Fractures, Science, COVID-19, Length of Stay, Patient Discharge, Hospitalization, Italy, Medicine, Humans, Female, Pandemics, Quality of Health Care, Retrospective Studies
Abstract

Introduction As COVID-19 roared through the world, governments worldwide enforced containment measures that affected various treatment pathways, including those for hip fractures (HFs). This study aimed to measure process and outcome indicators related to the quality of care provided to non-COVID-19 elderly patients affected by HF in Emilia-Romagna, a region of Italy severely hit by the pandemic. Methods We collected the hospital discharge records of all patients admitted to the hospitals of Emilia-Romagna with a diagnosis of HF from January to May in the years 2019 (pre-pandemic period) and 2020 (pandemic period). We analyzed surgery rate, surgery delays, length of hospital stay, timely rehabilitation, and 30-day mortality for each HF patient. We evaluated monthly data (2020 vs. 2019) with the chi-square and t-test, where appropriate. Logistic regression was used to investigate the differences in 30-day mortality. Results Our study included 5379 patients with HF. In April and May 2020, there was a significant increase in the proportion of HF patients that did not undergo timely surgery. In March 2020, we found a significant increase in mortality (OR = 2.22). Male sex (OR = 1.92), age ≥90 years (OR = 4.33), surgery after 48 hours (OR = 3.08) and not receiving surgery (OR = 6.19) were significantly associated with increased mortality. After adjusting for the aforementioned factors, patients hospitalized in March 2020 still suffered higher mortality (OR = 2.21). Conclusions There was a reduction in the overall quality of care provided to non-COVID-19 elderly patients affected by HF, whose mortality increased in March 2020. Patients’ characteristics and variations in processes of care partially explained this increase. Policymakers and professionals involved in the management of COVID-19 patients should be aware of the needs of patients with other health needs, which should be carefully investigated and included in future emergency preparedness and response plans.

Published
2021

Catalog

Books, media, physical & digital resources
See catalog results