PlumX Metrics
Embed PlumX Metrics

The risk stratification of adverse neonatal outcomes in women with gestational diabetes (STRONG) study

Acta Diabetologica, ISSN: 1432-5233, Vol: 55, Issue: 12, Page: 1261-1273
2018
  • 34
    Citations
  • 0
    Usage
  • 93
    Captures
  • 0
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

Article Description

Aims: To assess the risk of adverse neonatal outcomes in women with gestational diabetes (GDM) by identifying subgroups of women at higher risk to recognize the characteristics most associated with an excess of risk. Methods: Observational, retrospective, multicenter study involving consecutive women with GDM. To identify distinct and homogeneous subgroups of women at a higher risk, the RECursive Partitioning and AMalgamation (RECPAM) method was used. Overall, 2736 pregnancies complicated by GDM were analyzed. The main outcome measure was the occurrence of adverse neonatal outcomes in pregnancies complicated by GDM. Results: Among study participants (median age 36.8 years, pre-gestational BMI 24.8 kg/m), six miscarriages, one neonatal death, but no maternal death was recorded. The occurrence of the cumulative adverse outcome (OR 2.48, 95% CI 1.59–3.87), large for gestational age (OR 3.99, 95% CI 2.40–6.63), fetal malformation (OR 2.66, 95% CI 1.00–7.18), and respiratory distress (OR 4.33, 95% CI 1.33–14.12) was associated with previous macrosomia. Large for gestational age was also associated with obesity (OR 1.46, 95% CI 1.00–2.15). Small for gestational age was associated with first trimester glucose levels (OR 1.96, 95% CI 1.04–3.69). Neonatal hypoglycemia was associated with overweight (OR 1.52, 95% CI 1.02–2.27) and obesity (OR 1.62, 95% CI 1.04–2.51). The RECPAM analysis identified high-risk subgroups mainly characterized by high pre-pregnancy BMI (OR 1.68, 95% CI 1.21–2.33 for obese; OR 1.38 95% CI 1.03–1.87 for overweight). Conclusions: A deep investigation on the factors associated with adverse neonatal outcomes requires a risk stratification. In particular, great attention must be paid to the prevention and treatment of obesity.

Bibliographic Details

Basilio Pintaudi; Matteo Bonomo; Raffaella Fresa; Mariagrazia Dalfrà; Alessandro Roberto Dodesini; Ester Vitacolonna; Andrea Tumminia; Laura Sciacca; Cristina Lencioni; Teresa Marcone; Giuseppe Lucisano; Antonio Nicolucci; Angela Napoli; Olimpia Bitterman; Camilla Festa; Elena Cimino; Elena Mion; Graziano Di Cianni; Agostino Milluzzo; Federica Fraticelli; Livia Cavuto; Elena Ciriello; Annunziata Lapolla; Aurora Grassi; Paolo Limone; Annamaria Nuzzi; Andi Masha; Laura Grimaldi; Sara Biglino; Egle Ansaldi; Maurizia Battezzati; Giancarla Meregalli; Valentina De Mori; Denise Berzi; Antonio Bossi; Viviana Baggi; Elisabetta Lovati; Lara Quarleri; Tiziana Romanelli; Silvia Clementi; Ilaria Nicolao; Francesca Zambotti; Simonetta Lombardi; Silvana Costa; Chiara Tommasi; Silvia Rancan; Giovanna Lisato; Paola Bordon; Daniela Turazzi; Francesco Mollo; Franco Grimaldi; Laura Tonutti; Sandra Agus; Maria Rosaria Falivene; Giorgio Versari; Laura Corsi; Maria Delucchi; Luisa Ratto; Maria Grazia Magotti; Tiziana Frusca; Silvia Haddoub; Alice Suprani; Mary Mori; Maria Grazia Vita; Nicolina Di Biase; Alessandra Bertolotto; Aragona Michele; Bianchi Cristina; Emilia Lacaria; Elisa Guarino; Federica Monaci; Francesco Dotta; Elisabetta Torlone; Carlo Lalli; Chiara di Loreto; Maura Scarponi; Angela Del Prete; Sergio Leotta; Iolanda Coletta; Santina Abbruzzese; Valeria Montani; Emanuela Cannarsa; Pierpaolo Contini; Raffaella Vero; Rosa Oliverio; Marina Scavini; Nicoletta Dozio; Maria Pia Imbergamo; Renzo Cordera; Laura Affinito; Davide Maggi; Caterina Bordone; Elena Fochesato; Alessandra Pissarelli; Eros Libera; Susanna Morano; Tiziana Filardi; Mara Fallarino

Springer Science and Business Media LLC

Medicine; Biochemistry, Genetics and Molecular Biology

Provide Feedback

Have ideas for a new metric? Would you like to see something else here?Let us know