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Xiaofan Sun

Bio: Xiaofan Sun is an academic researcher from Nanjing Medical University. The author has contributed to research in topics: Offspring & Jaundice. The author has an hindex of 1, co-authored 2 publications receiving 605 citations.

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Journal ArticleDOI
16 Apr 2013-PLOS ONE
TL;DR: Sensitivity analyses revealed that sample size, study method, quality grade of study, source of pre-pregnancy BMI or BW had a strong impact on the association between pre-Pregnancy obesity and LGA and subsequent offspring overweight/obesity.
Abstract: Background Overweight/obesity in women of childbearing age is a serious public-health problem. In China, the incidence of maternal overweight/obesity has been increasing. However, there is not a meta-analysis to determine if pre-pregnancy body mass index (BMI) is related to infant birth weight (BW) and offspring overweight/obesity.

701 citations

Journal ArticleDOI
TL;DR: Wang et al. as mentioned in this paper conducted a prospective, observational study conducted from March 1, 2018, to February 28, 2019 to identify the causes of severe hyperbilirubinemia.
Abstract: Available evidence suggests that our country bear great burden of severe hyperbilirubinemia. However, the causes have not been explored recently in different regions of China to guide necessary clinical and public health interventions. This was a prospective, observational study conducted from March 1, 2018, to February 28, 2019. Four hospitals in three regions of China participated in the survey. Data from infants with a gestational age ≥ 35 weeks, birth weight ≥ 2000 g, and total serum bilirubin (TSB) level ≥ 17 mg/dL (342 µmol/L) were prospectively collected. A total of 783 cases were reported. Causes were identified in 259 cases. The major causes were ABO incompatibility (n = 101), glucose-6-phosphate dehydrogenase deficiency (n = 76), and intracranial hemorrhage (n = 70). All infants with glucose-6-phosphate dehydrogenase deficiency were from the central south region. Those from the central south region had much higher peak total bilirubin levels [mean, 404 μmol/L; standard deviation (SD), 75 μmol/L] than those from the other regions (mean, 373 μmol/L; SD, 35 μmol/L) (P < 0.001). ABO incompatibility was the leading cause in the east and northwest regions, but cases in the central south region were mainly caused by both ABO incompatibility and glucose-6-phosphate dehydrogenase deficiency, and infants in this region had a much higher peak total bilirubin level. Intracranial hemorrhage may be another common cause. More thorough assessments and rigorous bilirubin follow-up strategies are needed in the central south region.

3 citations


Cited by
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Journal ArticleDOI
08 Feb 2017-BMJ
TL;DR: Increased prepregnancy maternal insulin resistance and accompanying hyperinsulinemia, inflammation, and oxidative stress seem to contribute to early placental and fetal dysfunction in obese women.
Abstract: Obesity is the most common medical condition in women of reproductive age. Obesity during pregnancy has short term and long term adverse consequences for both mother and child. Obesity causes problems with infertility, and in early gestation it causes spontaneous pregnancy loss and congenital anomalies. Metabolically, obese women have increased insulin resistance in early pregnancy, which becomes manifest clinically in late gestation as glucose intolerance and fetal overgrowth. At term, the risk of cesarean delivery and wound complications is increased. Postpartum, obese women have an increased risk of venous thromboembolism, depression, and difficulty with breast feeding. Because 50-60% of overweight or obese women gain more than recommended by Institute of Medicine gestational weight guidelines, postpartum weight retention increases future cardiometabolic risks and prepregnancy obesity in subsequent pregnancies. Neonates of obese women have increased body fat at birth, which increases the risk of childhood obesity. Although there is no unifying mechanism responsible for the adverse perinatal outcomes associated with maternal obesity, on the basis of the available data, increased prepregnancy maternal insulin resistance and accompanying hyperinsulinemia, inflammation, and oxidative stress seem to contribute to early placental and fetal dysfunction. We will review the pathophysiology underlying these data and try to shed light on the specific underlying mechanisms.

669 citations

Journal ArticleDOI
TL;DR: For women who are already obese, renewed efforts should be made towards improved management during pregnancy, especially of blood glucose, and increased attention to post-partum weight management.

657 citations

Journal ArticleDOI
TL;DR: In this article, the authors conducted full-text screening, quality assurance using the AMSTAR tool and data extraction steps in pairs, and concluded that women with obesity need support to lose weight before they conceive, and to minimize their weight gain in pregnancy.
Abstract: Maternal obesity is linked with adverse outcomes for mothers and babies. To get an overview of risks related to obesity in pregnant women, a systematic review of reviews was conducted. For inclusion, reviews had to compare pregnant women of healthy weight with women with obesity, and measure a health outcome for mother and/or baby. Authors conducted full-text screening, quality assurance using the AMSTAR tool and data extraction steps in pairs. Narrative analysis of the 22 reviews included show gestational diabetes, pre-eclampsia, gestational hypertension, depression, instrumental and caesarean birth, and surgical site infection to be more likely to occur in pregnant women with obesity compared with women with a healthy weight. Maternal obesity is also linked to greater risk of preterm birth, large-for-gestational-age babies, foetal defects, congenital anomalies and perinatal death. Furthermore, breastfeeding initiation rates are lower and there is greater risk of early breastfeeding cessation in women with obesity compared with healthy weight women. These adverse outcomes may result in longer duration of hospital stay, with concomitant resource implications. It is crucial to reduce the burden of adverse maternal and foetal/child outcomes caused by maternal obesity. Women with obesity need support to lose weight before they conceive, and to minimize their weight gain in pregnancy.

645 citations

Journal ArticleDOI
LifeCycle Project-Maternal Obesity1, Ellis Voerman1, Susana Santos2, Susana Santos3, Hazel Inskip, Pilar Amiano4, Henrique Barros5, Henrique Barros6, Marie-Aline Charles7, Marie-Aline Charles8, Marie-Aline Charles9, Leda Chatzi10, George P. Chrousos11, Eva Corpeleijn3, Sarah Crozier12, Myriam Doyon13, Merete Eggesbø14, Maria Pia Fantini, Sara Farchi, Francesco Forastiere9, Vagelis Georgiu14, Davide Gori15, Wojciech Hanke16, Irva Hertz-Picciotto5, Irva Hertz-Picciotto6, Barbara Heude12, Barbara Heude17, Marie-France Hivert18, D. Hryhorczuk19, Carmen Iñiguez20, Anne M. Karvonen, Leanne K. Küpers21, Hanna Lagström22, Debbie A Lawlor23, Irina Lehmann13, Per Magnus24, Renata Majewska25, Johanna Mäkelä26, Yannis Manios27, Monique Mommers28, Monique Mommers29, Camilla Schmidt Morgen30, George Moschonis29, Ellen A. Nohr28, Anne-Marie Nybo Andersen17, Emily Oken24, Agnieszka Pac13, Eleni Papadopoulou20, Eleni Papadopoulou31, Juha Pekkanen32, Costanza Pizzi15, Kinga Polańska, Daniela Porta32, Lorenzo Richiardi17, Sheryl L. Rifas-Shiman33, Nel Roeleveld34, L. Ronfani4, Ana Cristina Santos, M. Standl13, Hein Stigum13, Hein Stigum35, Camilla Stoltenberg36, E. Thiering27, Carel Thijs, Maties Torrent37, Tomas Trnovec33, Marleen M.H.J. van Gelder38, Lenie van Rossem, Andrea von Berg39, Martine Vrijheid, Alet H. Wijga, Oleksandr Zvinchuk28, Thorkild I. A. Sørensen2, Thorkild I. A. Sørensen3, Keith M. Godfrey1, Vincent W. V. Jaddoe1, Romy Gaillard1 
07 May 2019-JAMA
TL;DR: In this meta-analysis of pooled individual participant data from 25 cohort studies, the risk for adverse maternal and infant outcomes varied by gestational weight gain and across the range of prepregnancy weights, however, the optimal gestations weight gain ranges had limited predictive value for the outcomes assessed.
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 termedany adverse outcomewas 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 Conclusions and Relevance In this meta-analysis of pooled individual participant data from 25 cohort studies, the risk for adverse maternal and infant outcomes varied by gestational weight gain and across the range of prepregnancy weights. The estimates of optimal gestational weight gain may inform prenatal counseling; however, the optimal gestational weight gain ranges had limited predictive value for the outcomes assessed.

286 citations