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Avena-Zampieri CL, Dassios T, Milan A, Santos R, Kyriakopoulou V, Cromb D, Hall M, Egloff A, McGovern M, Uus A, Hutter J, Payette K, Rutherford M, Greenough A, Story L. Correlation of fetal lung area with MRI derived pulmonary volume. Early Hum Dev 2024; 194:106047. [PMID: 38851106 DOI: 10.1016/j.earlhumdev.2024.106047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Revised: 05/15/2024] [Accepted: 05/16/2024] [Indexed: 06/10/2024]
Abstract
BACKGROUND Neonatal chest-Xray (CXR)s are commonly performed as a first line investigation for the evaluation of respiratory complications. Although lung area derived from CXRs correlates well with functional assessments of the neonatal lung, it is not currently utilised in clinical practice, partly due to the lack of reference ranges for CXR-derived lung area in healthy neonates. Advanced MR techniques now enable direct evaluation of both fetal pulmonary volume and area. This study therefore aims to generate reference ranges for pulmonary volume and area in uncomplicated pregnancies, evaluate the correlation between prenatal pulmonary volume and area, as well as to assess the agreement between antenatal MRI-derived and neonatal CXR-derived pulmonary area in a cohort of fetuses that delivered shortly after the antenatal MRI investigation. METHODS Fetal MRI datasets were retrospectively analysed from uncomplicated term pregnancies and a preterm cohort that delivered within 72 h of the fetal MRI. All examinations included T2 weighted single-shot turbo spin echo images in multiple planes. In-house pipelines were applied to correct for fetal motion using deformable slice-to-volume reconstruction. An MRI-derived lung area was manually segmented from the average intensity projection (AIP) images generated. Postnatal lung area in the preterm cohort was measured from neonatal CXRs within 24 h of delivery. Pearson correlation coefficient was used to correlate MRI-derived lung volume and area. A two-way absolute agreement was performed between the MRI-derived AIP lung area and CXR-derived lung area. RESULTS Datasets from 180 controls and 10 preterm fetuses were suitable for analysis. Mean gestational age at MRI was 28.6 ± 4.2 weeks for controls and 28.7 ± 2.7 weeks for preterm neonates. MRI-derived lung area correlated strongly with lung volumes (p < 0.001). MRI-derived lung area had good agreement with the neonatal CXR-derived lung area in the preterm cohort [both lungs = 0.982]. CONCLUSION MRI-derived pulmonary area correlates well with absolute pulmonary volume and there is good correlation between MRI-derived pulmonary area and postnatal CXR-derived lung area when delivery occurs within a few days of the MRI examination. This may indicate that fetal MRI derived lung area may prove to be useful reference ranges for pulmonary areas derived from CXRs obtained in the perinatal period.
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Affiliation(s)
- Carla L Avena-Zampieri
- Department of Women and Children's Health King's College London, United Kingdom; Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom.
| | - Theodore Dassios
- Department of Women and Children's Health King's College London, United Kingdom
| | - Anna Milan
- Neonatal Unit, Guy's and St Thomas' NHS Foundation Trust, United Kingdom
| | - Rui Santos
- Children's Radiology Department, Evelina London Children's Hospital, Guy's and St Thomas NHS Foundation Trust, United Kingdom
| | - Vanessa Kyriakopoulou
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom; Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom
| | - Daniel Cromb
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom
| | - Megan Hall
- Department of Women and Children's Health King's College London, United Kingdom; Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom
| | - Alexia Egloff
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom; Fetal Medicine Unit, Guy's and St Thomas' NHS Foundation Trust, United Kingdom
| | - Matthew McGovern
- Neonatal Unit, Guy's and St Thomas' NHS Foundation Trust, United Kingdom
| | - Alena Uus
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom; Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom
| | - Jana Hutter
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom
| | - Kelly Payette
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom; Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom
| | - Mary Rutherford
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom
| | - Anne Greenough
- Department of Women and Children's Health King's College London, United Kingdom
| | - Lisa Story
- Department of Women and Children's Health King's College London, United Kingdom; Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom; Fetal Medicine Unit, Guy's and St Thomas' NHS Foundation Trust, United Kingdom
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Yang X, Wang G, Liu N, Wang Y, Zhang S, Lin H, Zhu C, Liu L, Sun Y, Ma L. Mediating effect of gestational weight gain on the preventive effect of exercise during pregnancy on macrosomia: a randomized clinical trial. BMC Pregnancy Childbirth 2024; 24:384. [PMID: 38778289 PMCID: PMC11112785 DOI: 10.1186/s12884-024-06527-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 04/17/2024] [Indexed: 05/25/2024] Open
Abstract
OBJECTIVE We sought to investigate the impact of individualized exercise guidance during pregnancy on the incidence of macrosomia and the mediating effect of gestational weight gain (GWG). DESIGN A prospective randomized clinical trial. SETTING A Hospital in Xingtai District, Hebei Province. POPULATION Older than 20 years of age, mid-pregnancy, and singleton pregnant women without contraindications to exercise during pregnancy. METHODS A randomized clinical trial was conducted from December 2021 to September 2022 to compare the effects of standard prenatal care with individualized exercise guidance on the incidence of macrosomia. MAIN OUTCOME MEASURE Incidence of macrosomia. RESULTS In all, 312 singleton women were randomized into an intervention group (N = 162) or a control group (N = 150). Participants who received individualized exercise guidance had a significantly lower incidence of macrosomia (3.73% vs. 13.61%, P = 0.002) and infants large for gestational age (9.94% vs. 19.73%, P = 0.015). However, no differences were observed in the rate of preterm birth (1.86% vs. 3.40%, P = 0.397) or the average gestational age at birth (39.14 ± 1.51 vs. 38.69 ± 1.85, P = 0.258). Mediation analysis revealed that GWG mediated the effect of exercise on reducing the incidence of macrosomia. CONCLUSION Individualized exercise guidance may be a preventive tool for macrosomia, and GWG mediates the effect of exercise on reducing the incidence of macrosomia. However, evidence does not show that exercise increases the rate of preterm birth or affects the average gestational age at birth. TRIAL REGISTRATION The trial is registered at www.clinicaltrails.gov [registration number: NCT05760768; registration date: 08/03/2023 (retrospectively registered)].
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Affiliation(s)
- Xuanjin Yang
- National Clinical Research Center for Obstetric & Gynecologic Diseases, Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Dongcheng, Beijing, 100370, China
| | - Guifang Wang
- Xingtai Xindu District Central Hospital, Hebei Xingtai, 054000, China
| | - Nana Liu
- National Clinical Research Center for Obstetric & Gynecologic Diseases, Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Dongcheng, Beijing, 100370, China
| | - Yaxin Wang
- National Clinical Research Center for Obstetric & Gynecologic Diseases, Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Dongcheng, Beijing, 100370, China
| | - Suhan Zhang
- National Clinical Research Center for Obstetric & Gynecologic Diseases, Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Dongcheng, Beijing, 100370, China
| | - Hang Lin
- National Clinical Research Center for Obstetric & Gynecologic Diseases, Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Dongcheng, Beijing, 100370, China
| | - Can Zhu
- Chinese Academy of Medical Sciences & Peking Union Medical College Nursing College, Beijing, 100144, China
| | - Li Liu
- Chinese Academy of Medical Sciences & Peking Union Medical College Nursing College, Beijing, 100144, China
| | - Yin Sun
- National Clinical Research Center for Obstetric & Gynecologic Diseases, Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Dongcheng, Beijing, 100370, China.
| | - Liangkun Ma
- National Clinical Research Center for Obstetric & Gynecologic Diseases, Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Dongcheng, Beijing, 100370, China.
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Yu Y, Gao J, Liu J, Tang Y, Zhong M, He J, Liao S, Wang X, Liu X, Cao Y, Liu C, Sun J. Perinatal maternal characteristics predict a high risk of neonatal asphyxia: A multi-center retrospective cohort study in China. Front Med (Lausanne) 2022; 9:944272. [PMID: 36004371 PMCID: PMC9393324 DOI: 10.3389/fmed.2022.944272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2022] [Accepted: 07/15/2022] [Indexed: 11/29/2022] Open
Abstract
Objective This study aimed to identify various perinatal maternal characteristics that contributed to neonatal asphyxia (NA) in term and late-preterm newborns based on the data obtained from a Chinese birth registry cohort and to establish an effective model for predicting a high risk of asphyxia. Method We retrospectively reviewed and analyzed the birth database from July 1, 2016, to June 30, 2017, in the main economically developed regions of China. Asphyxia was defined as an Apgar score <7 at 5 min post-delivery with umbilical cord arterial blood pH < 7.2 in the infant born after 34weeks. We compared the perinatal maternal characteristics of the newborns who developed asphyxia (NA group, n = 1,152) and those who did not (no NA group, n = 86,393). Candidate predictors of NA were analyzed using multivariable logistic regression. Subsequently, a prediction model was developed and validated by an independent test group. Result Of the maternal characteristics, duration of PROM ≥ 48 h, a gestational week at birth <37, prolonged duration of labor, hypertensive disorder, nuchal cord, and birth weight <2,500 or ≥4,000 g, abnormal fetal heart rate, meconium-stained amniotic fluid, and placenta previa were included in the predicting model, which presented a good performance in external validation (c-statistic of 0.731). Conclusion Our model relied heavily on clinical predictors that may be determined before or during birth, and pregnant women at high risk of NA might be recognized earlier in pregnancy and childbirth using this methodology, allowing them to avoid being neglected and delayed. Future studies should be conducted to assess its usefulness.
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Affiliation(s)
- Yi Yu
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Beijing, China
- Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetrics & Gynecologic Diseases, Peking Union Medical College Hospital (CAMS), Beijing, China
| | - Jinsong Gao
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Beijing, China
- Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetrics & Gynecologic Diseases, Peking Union Medical College Hospital (CAMS), Beijing, China
- *Correspondence: Jinsong Gao
| | - Juntao Liu
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Beijing, China
- Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetrics & Gynecologic Diseases, Peking Union Medical College Hospital (CAMS), Beijing, China
- Juntao Liu
| | - Yabing Tang
- Department of Obstetrics and Gynecology, Hunan Maternal and Child Health Care Hospital, Changsha, China
| | - Mei Zhong
- Department of Obstetrics and Gynecology, Nanfang Hospital Southern Medical University, Guangzhou, China
| | - Jing He
- Department of Obstetrics and Gynecology, Women's Hospital School of Medicine Zhejiang University, Hangzhou, China
| | - Shixiu Liao
- Department of Obstetrics and Gynecology, Henan Provincial People's Hospital Zhengzhou, Henan, China
| | - Xietong Wang
- Department of Obstetrics and Gynecology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China
| | - Xinghui Liu
- Department of Obstetrics and Gynecology, Sichuan University West China Second Hospital, Chengdu, China
| | - Yinli Cao
- Department of Obstetrics and Gynecology, Northwest Women and Children's Hospital, Xi'an, China
| | - Caixia Liu
- Department of Obstetrics and Gynecology, Shengjing Hospital Affiliated to China Medical University, Shenyang, China
| | - Jingxia Sun
- Department of Obstetrics and Gynecology, The First Clinical Hospital Affiliated to Harbin Medical University, Harbin, China
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Du J, Zhang X, Chai S, Zhao X, Sun J, Yuan N, Yu X, Zhang Q. Nomogram-based risk prediction of macrosomia: a case-control study. BMC Pregnancy Childbirth 2022; 22:392. [PMID: 35513792 PMCID: PMC9074352 DOI: 10.1186/s12884-022-04706-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 04/22/2022] [Indexed: 12/20/2022] Open
Abstract
Background Macrosomia is closely associated with poor maternal and fetal outcome. But there is short of studies on the risk of macrosomia in early pregnancy. The purpose of this study is to establish a nomogram for predicting macrosomia in the first trimester. Methods A case-control study involving 1549 pregnant women was performed. According to the birth weight of newborn, the subjects were divided into macrosomia group and non-macrosomia group. The risk factors for macrosomia in early pregnancy were analyzed by multivariate logistic regression. A nomogram was used to predict the risk of macrosomia. Results The prevalence of macrosomia was 6.13% (95/1549) in our hospital. Multivariate logistic regression analysis showed that prepregnancy overweight (OR: 2.13 95% CI: 1.18–3.83)/obesity (OR: 3.54, 95% CI: 1.56–8.04), multiparity (OR:1.88, 95% CI: 1.16–3.04), the history of macrosomia (OR: 36.97, 95% CI: 19.90–68.67), the history of GDM/DM (OR: 2.29, 95% CI: 1.31–3.98), the high levels of HbA1c (OR: 1.76, 95% CI: 1.00–3.10) and TC (OR: 1.36, 95% CI: 1.00–1.84) in the first trimester were the risk factors of macrosomia. The area under ROC (the receiver operating characteristic) curve of the nomogram model was 0.807 (95% CI: 0.755–0.859). The sensitivity and specificity of the model were 0.716 and 0.777, respectively. Conclusion The nomogram model provides an effective mothed for clinicians to predict macrosomia in the first trimester.
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Affiliation(s)
- Jing Du
- Department of Endocrinology and metabolism, Peking University International Hospital, No. 1 Life Garden Road Zhongguancun Life Science Garden Changping District, Beijing, 102206, China
| | - Xiaomei Zhang
- Department of Endocrinology and metabolism, Peking University International Hospital, No. 1 Life Garden Road Zhongguancun Life Science Garden Changping District, Beijing, 102206, China.
| | - Sanbao Chai
- Department of Endocrinology and metabolism, Peking University International Hospital, No. 1 Life Garden Road Zhongguancun Life Science Garden Changping District, Beijing, 102206, China
| | - Xin Zhao
- Department of Endocrinology and metabolism, Peking University International Hospital, No. 1 Life Garden Road Zhongguancun Life Science Garden Changping District, Beijing, 102206, China
| | - Jianbin Sun
- Department of Endocrinology and metabolism, Peking University International Hospital, No. 1 Life Garden Road Zhongguancun Life Science Garden Changping District, Beijing, 102206, China
| | - Ning Yuan
- Department of Endocrinology and metabolism, Peking University International Hospital, No. 1 Life Garden Road Zhongguancun Life Science Garden Changping District, Beijing, 102206, China
| | - Xiaofeng Yu
- Department of Endocrinology and metabolism, Peking University International Hospital, No. 1 Life Garden Road Zhongguancun Life Science Garden Changping District, Beijing, 102206, China
| | - Qiaoling Zhang
- Department of Endocrinology and metabolism, Peking University International Hospital, No. 1 Life Garden Road Zhongguancun Life Science Garden Changping District, Beijing, 102206, China
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Preparedness for maternal and neonatal emergencies in UK midwifery units: a national survey using the UK Midwifery Study System (UKMidSS). Midwifery 2022; 110:103336. [DOI: 10.1016/j.midw.2022.103336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 04/01/2022] [Accepted: 04/02/2022] [Indexed: 11/16/2022]
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