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Vasconcelos S, Moustakas I, Branco MR, Guimarães S, Caniçais C, van der Helm T, Ramalho C, Marques CJ, de Sousa Lopes SMC, Dória S. Syncytiotrophoblast Markers Are Downregulated in Placentas from Idiopathic Stillbirths. Int J Mol Sci 2024; 25:5180. [PMID: 38791219 PMCID: PMC11121380 DOI: 10.3390/ijms25105180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Revised: 05/03/2024] [Accepted: 05/07/2024] [Indexed: 05/26/2024] Open
Abstract
The trophoblast cells are responsible for the transfer of nutrients between the mother and the foetus and play a major role in placental endocrine function by producing and releasing large amounts of hormones and growth factors. Syncytiotrophoblast cells (STB), formed by the fusion of mononuclear cytotrophoblasts (CTB), constitute the interface between the foetus and the mother and are essential for all of these functions. We performed transcriptome analysis of human placental samples from two control groups-live births (LB), and stillbirths (SB) with a clinically recognised cause-and from our study group, idiopathic stillbirths (iSB). We identified 1172 DEGs in iSB, when comparing with the LB group; however, when we compared iSB with the SB group, only 15 and 12 genes were down- and upregulated in iSB, respectively. An assessment of these DEGs identified 15 commonly downregulated genes in iSB. Among these, several syncytiotrophoblast markers, like genes from the PSG and CSH families, as well as ALPP, KISS1, and CRH, were significantly downregulated in placental samples from iSB. The transcriptome analysis revealed underlying differences at a molecular level involving the syncytiotrophoblast. This suggests that defects in the syncytial layer may underlie unexplained stillbirths, therefore offering insights to improve clinical obstetrics practice.
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Affiliation(s)
- Sara Vasconcelos
- Genetics Service, Department of Pathology, Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal (C.J.M.)
- i3S—Instituto de Investigação e Inovação em Saúde, University of Porto, 4200-135 Porto, Portugal
| | - Ioannis Moustakas
- Department of Anatomy and Embryology, Leiden University Medical Center, 2333 ZC Leiden, The Netherlands (T.v.d.H.); (S.M.C.d.S.L.)
- Sequencing Analysis Support Core, Leiden University Medical Center, 2333 ZC Leiden, The Netherlands
| | - Miguel R. Branco
- Blizard Institute, Faculty of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, UK
| | - Susana Guimarães
- Department of Pathology, Faculty of Medicine and Centro Hospitalar Universitário São João, 4200-319 Porto, Portugal
| | - Carla Caniçais
- Genetics Service, Department of Pathology, Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal (C.J.M.)
- i3S—Instituto de Investigação e Inovação em Saúde, University of Porto, 4200-135 Porto, Portugal
| | - Talia van der Helm
- Department of Anatomy and Embryology, Leiden University Medical Center, 2333 ZC Leiden, The Netherlands (T.v.d.H.); (S.M.C.d.S.L.)
| | - Carla Ramalho
- i3S—Instituto de Investigação e Inovação em Saúde, University of Porto, 4200-135 Porto, Portugal
- Department of Obstetrics and Gynaecology, Faculty of Medicine and Centro Hospitalar Universitário São João, 4200-319 Porto, Portugal
| | - Cristina Joana Marques
- Genetics Service, Department of Pathology, Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal (C.J.M.)
- i3S—Instituto de Investigação e Inovação em Saúde, University of Porto, 4200-135 Porto, Portugal
| | - Susana M. Chuva de Sousa Lopes
- Department of Anatomy and Embryology, Leiden University Medical Center, 2333 ZC Leiden, The Netherlands (T.v.d.H.); (S.M.C.d.S.L.)
| | - Sofia Dória
- Genetics Service, Department of Pathology, Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal (C.J.M.)
- i3S—Instituto de Investigação e Inovação em Saúde, University of Porto, 4200-135 Porto, Portugal
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Han Q, Hao D, Yang L, Yang Y, Li G. Non-Contact Monitoring of Fetal Movement Using Abdominal Video Recording. SENSORS (BASEL, SWITZERLAND) 2023; 23:4753. [PMID: 37430667 DOI: 10.3390/s23104753] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 05/09/2023] [Accepted: 05/10/2023] [Indexed: 07/12/2023]
Abstract
Fetal movement (FM) is an important indicator of fetal health. However, the current methods of FM detection are unsuitable for ambulatory or long-term observation. This paper proposes a non-contact method for monitoring FM. We recorded abdominal videos from pregnant women and then detected the maternal abdominal region within each frame. FM signals were acquired by optical flow color-coding, ensemble empirical mode decomposition, energy ratio, and correlation analysis. FM spikes, indicating the occurrence of FMs, were recognized using the differential threshold method. FM parameters including number, interval, duration, and percentage were calculated, and good agreement was found with the manual labeling performed by the professionals, achieving true detection rate, positive predictive value, sensitivity, accuracy, and F1_score of 95.75%, 95.26%, 95.75%, 91.40%, and 95.50%, respectively. The changes in FM parameters with gestational week were consistent with pregnancy progress. In general, this study provides a novel contactless FM monitoring technology for use at home.
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Affiliation(s)
- Qiao Han
- Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China
- Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing 100124, China
| | - Dongmei Hao
- Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China
- Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing 100124, China
| | - Lin Yang
- Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China
- Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing 100124, China
| | - Yimin Yang
- Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China
- Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing 100124, China
| | - Guangfei Li
- Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China
- Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing 100124, China
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Damhuis SE, Kamphof HD, Ravelli ACJ, Gordijn SJ, Ganzevoort WJ. Perinatal mortality rate and adverse perinatal outcomes presumably attributable to placental dysfunction in (near) term gestation: A nationwide 5-year cohort study. PLoS One 2023; 18:e0285096. [PMID: 37141189 PMCID: PMC10159202 DOI: 10.1371/journal.pone.0285096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Accepted: 04/14/2023] [Indexed: 05/05/2023] Open
Abstract
INTRODUCTION Placental dysfunction can lead to perinatal hypoxic events including stillbirth. Unless there is overt severe fetal growth restriction, placental dysfunction is frequently not identified in (near) term pregnancy, particularly because fetal size is not necessarily small. This study aimed to evaluate, among (near) term births, the burden of hypoxia-related adverse perinatal outcomes reflected in an association with birth weight centiles as a proxy for placental function. MATERIAL AND METHOD A nationwide 5-year cohort of the Dutch national birth registry (PeriNed) including 684,938 singleton pregnancies between 36+0 and 41+6 weeks of gestation. Diabetes, congenital anomalies, chromosomal abnormalities and non-cephalic presentations at delivery were excluded. The main outcome was antenatal mortality rate according to birthweight centiles and gestational age. Secondary outcomes included perinatal hypoxia-related outcomes, including perinatal death and neonatal morbidity, analyzed according to birthweight centiles. RESULTS Between 2015 and 2019, 1,074 perinatal deaths (0.16%) occurred in the study population (n = 684,938), of which 727 (0.10%) antenatally. Of all antenatal- and perinatal deaths, 29.4% and 27.9% occurred in birthweights below the 10th centile. The incidence of perinatal hypoxia-related outcomes was highest in fetuses with lowest birthweight centiles (18.0%), falling gradually up to the 50th and 90th centile where the lowest rates of hypoxia-related outcomes (5.4%) were observed. CONCLUSION Perinatal hypoxia-related events have the highest incidence in the lowest birthweight centiles but are identifiable throughout the entire spectrum. In fact, the majority of the adverse outcome burden in absolute numbers occurs in the group with a birthweight above the 10th centile. We hypothesize that in most cases these events are attributable to reduced placental function. Additional diagnostic modalities that indicate placental dysfunction at (near) term gestation throughout all birth weight centiles are eagerly wanted.
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Affiliation(s)
- Stefanie Elisabeth Damhuis
- Department of Obstetrics and Gynecology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
- Department of Obstetrics and Gynecology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Amsterdam Reproduction and Development Research Institute, University of Amsterdam, Amsterdam, The Netherlands
| | - Hester Dorien Kamphof
- Department of Obstetrics and Gynecology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Anita C. J. Ravelli
- Department of Obstetrics and Gynecology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Reproduction and Development Research Institute, University of Amsterdam, Amsterdam, The Netherlands
- Department of Medical Informatics, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Sanne Jehanne Gordijn
- Department of Obstetrics and Gynecology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Wessel J. Ganzevoort
- Department of Obstetrics and Gynecology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Reproduction and Development Research Institute, University of Amsterdam, Amsterdam, The Netherlands
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He X, Li Z, Li X, Zhao H, Hu Y, Han W, Wang C, Yin C, Chen Y. The fecal microbiota of gravidas with fetal growth restriction newborns characterized by metagenomic sequencing. Curr Res Transl Med 2023; 71:103354. [PMID: 36434943 DOI: 10.1016/j.retram.2022.103354] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 03/25/2022] [Accepted: 05/30/2022] [Indexed: 02/06/2023]
Abstract
BACKGROUND Fetal growth restriction (FGR) is a complex obstetric complication with various causes and of great harm. However, the specific pathogenesis of FGR is unclear, which limits its effective treatment. Gut microbiota dysbiosis was found to be important in pathogenesis of various diseases. However, its role in FGR development remains unclear and needs to be clarified. METHODS In our case-control study, we recruited eight FGR and eight control female participants and collected their fecal samples in third trimester before delivery. We performed metagenomic sequencing and bioinformatic analysis to compare the gut microbiota composition and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways between the two groups. RESULTS Our results showed that totally 20 gut microbes were significantly different between two groups (p<0•05), and the correlation analysis found that g__Roseomonas and g__unclassified_f__Propionibacteriaceae were significantly positive correlated with both maternal body mass index (BMI) before delivery, placental weight, and neonatal birth weight (BW) percentile (all p<0•05), while g__Marinisporobacter and g__Sphingomonas were significantly negative correlated with both neonatal BMI and neonatal BW percentile (all p<0•05). Through KEGG pathway analysis, we found that the abundance of the Nitrogen metabolism pathway decreased significantly (p<0•05) whereas the abundance of the Amoebiasis pathway increased significantly in the FGR group (p<0•05). CONCLUSION In this study, we demonstrated that the occurrence of FGR is associated with the change of gut microbiota of pregnant women.
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Affiliation(s)
- Xin He
- Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, No.251 Yaojiayuan Road, Chaoyang District, Beijing 100026, China
| | - Zhengpeng Li
- Microbiota Division, Department of Gastroenterology and Hepatology, The First Medical Center, Chinese PLA General Hospital, Beijing 100039, China
| | - Xiaohui Li
- Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, No.251 Yaojiayuan Road, Chaoyang District, Beijing 100026, China
| | - Huanying Zhao
- Genomics Research Platform, Core Facilities Center, Capital Medical University, Beijing 100069, China
| | - Yanan Hu
- Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, No.251 Yaojiayuan Road, Chaoyang District, Beijing 100026, China
| | - Wenli Han
- Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, No.251 Yaojiayuan Road, Chaoyang District, Beijing 100026, China
| | - Chen Wang
- Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, No.251 Yaojiayuan Road, Chaoyang District, Beijing 100026, China
| | - Chenghong Yin
- Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, No.251 Yaojiayuan Road, Chaoyang District, Beijing 100026, China.
| | - Yi Chen
- Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, No.251 Yaojiayuan Road, Chaoyang District, Beijing 100026, China.
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Tokoro S, Koshida S, Tsuji S, Katsura D, Ono T, Murakami T, Takahashi K. Increased Difficulties in Maternal Perception of Decreased Fetal Movement in Cases of Severe Fetal Growth Restriction: A Population-Based Study in Japan. TOHOKU J EXP MED 2022; 257:17-22. [PMID: 35387908 DOI: 10.1620/tjem.2022.j021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Affiliation(s)
- Shinsuke Tokoro
- Department of Obstetrics and Gynecology, Shiga University of Medical Science
| | | | - Shunichiro Tsuji
- Department of Obstetrics and Gynecology, Shiga University of Medical Science
| | - Daisuke Katsura
- Department of Obstetrics and Gynecology, Shiga University of Medical Science
| | - Tetsuo Ono
- Department of Obstetrics and Gynecology, Omihachiman Community Medical Center
| | - Takashi Murakami
- Department of Obstetrics and Gynecology, Shiga University of Medical Science
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Passive Fetal Movement Signal Detection System Based on Intelligent Sensing Technology. JOURNAL OF HEALTHCARE ENGINEERING 2021; 2021:1745292. [PMID: 34540183 PMCID: PMC8443392 DOI: 10.1155/2021/1745292] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Accepted: 08/15/2021] [Indexed: 11/17/2022]
Abstract
Fetal movement (FM) is an essential physiological parameter to determine the health status of the fetus. To address the problems of harrowing FM signal extraction and the low recognition rate of traditional machine learning classifiers in FM signal detection, this paper develops a passive FM signal detection system based on intelligent sensing technology. FM signals are obtained from the abdomen of the pregnant woman by using accelerometers. The FM signals are extracted and identified according to the clinical nature of the features hidden in the amplitude and waveform of the FM signals that fluctuate in duration. The system consists of four main stages: (i) FM signal preprocessing, (ii) maternal artifact signal preidentification, (iii) FM signal identification, and (iv) FM classification. Firstly, Kalman filtering is used to reconstruct the FM signal in a continuous low-amplitude noise background. Secondly, the maternal artifact signal is identified using an amplitude threshold algorithm. Then, an innovative dictionary learning algorithm is used to construct a dictionary of FM features, and orthogonal matching pursuit and adaptive filtering algorithms are used to identify the FM signals, respectively. Finally, mask fusion classification is performed based on the multiaxis recognition results. Experiments are conducted to evaluate the performance of the proposed FM detection system using publicly available and self-built accelerated FM datasets. The classification results showed that the orthogonal matching pursuit algorithm was more effective than the adaptive filtering algorithm in identifying FM signals, with a positive prediction value of 89.74%. The proposed FM detection system has great potential and promise for wearable FM health monitoring.
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Beune IM, Damhuis SE, Ganzevoort W, Hutchinson JC, Khong TY, Mooney EE, Sebire NJ, Gordijn SJ. Consensus Definition of Fetal Growth Restriction in Intrauterine Fetal Death: A Delphi Procedure. Arch Pathol Lab Med 2021; 145:428-436. [PMID: 32882006 DOI: 10.5858/arpa.2020-0027-oa] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/28/2020] [Indexed: 11/06/2022]
Abstract
CONTEXT.— Fetal growth restriction is a risk factor for intrauterine fetal death. Currently, definitions of fetal growth restriction in stillborns are heterogeneous. OBJECTIVES.— To develop a consensus definition for fetal growth restriction retrospectively diagnosed at fetal autopsy in intrauterine fetal death. DESIGN.— A modified online Delphi survey in an international panel of experts in perinatal pathology, with feedback at group level and exclusion of nonresponders. The survey scoped all possible variables with an open question. Variables suggested by 2 or more experts were scored on a 5-point Likert scale. In subsequent rounds, inclusion of variables and thresholds were determined with a 70% level of agreement. In the final rounds, participants selected the consensus algorithm. RESULTS.— Fifty-two experts participated in the first round; 88% (46 of 52) completed all rounds. The consensus definition included antenatal clinical diagnosis of fetal growth restriction OR a birth weight lower than third percentile OR at least 5 of 10 contributory variables (risk factors in the clinical antenatal history: birth weight lower than 10th percentile, body weight at time of autopsy lower than 10th percentile, brain weight lower than 10th percentile, foot length lower than 10th percentile, liver weight lower than 10th percentile, placental weight lower than 10th percentile, brain weight to liver weight ratio higher than 4, placental weight to birth weight ratio higher than 90th percentile, histologic or gross features of placental insufficiency/malperfusion). There was no consensus on some aspects, including how to correct for interval between fetal death and delivery. CONCLUSIONS.— A consensus-based definition of fetal growth restriction in fetal death was determined with utility to improve management and outcomes of subsequent pregnancies.
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Affiliation(s)
- Irene Maria Beune
- From the Department of Obstetrics and Gynecology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands (Beune, Damhuis, Gordijn)
| | - Stefanie Elisabeth Damhuis
- From the Department of Obstetrics and Gynecology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands (Beune, Damhuis, Gordijn).,the Department of Obstetrics and Gynecology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands (Damhuis, Ganzevoort)
| | - Wessel Ganzevoort
- the Department of Obstetrics and Gynecology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands (Damhuis, Ganzevoort)
| | - John Ciaran Hutchinson
- The Department of Histopathology, Great Ormond Street Hospital for Children NHS Trust, London, United Kingdom (Hutchinson).,The UCL Great Ormond Street Institute of Child Health, London, United Kingdom (Hutchinson)
| | - Teck Yee Khong
- The Department of Anatomical Pathology, Women's and Children's Hospital, North Adelaide, Australia (Khong)
| | - Eoghan E Mooney
- The Department of Pathology & Laboratory Medicine, National Maternity Hospital, Dublin, Ireland (Mooney)
| | - Neil James Sebire
- The Department of Pathology, Great Ormond Street Hospital for Children and UCL Institute of Child Health, London, United Kingdom (Sebire)
| | - Sanne Jehanne Gordijn
- From the Department of Obstetrics and Gynecology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands (Beune, Damhuis, Gordijn)
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Sex-Biased lncRNA Signature in Fetal Growth Restriction (FGR). Cells 2021; 10:cells10040921. [PMID: 33923632 PMCID: PMC8072961 DOI: 10.3390/cells10040921] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Revised: 04/14/2021] [Accepted: 04/14/2021] [Indexed: 12/13/2022] Open
Abstract
Impaired fetal growth is one of the most important causes of prematurity, stillbirth and infant mortality. The pathogenesis of idiopathic fetal growth restriction (FGR) is poorly understood but is thought to be multifactorial and comprise a range of genetic causes. This research aimed to investigate non-coding RNAs (lncRNAs) in the placentas of male and female fetuses affected by FGR. RNA-Seq data were analyzed to detect lncRNAs, their potential target genes and circular RNAs (circRNAs); a differential analysis was also performed. The multilevel bioinformatic analysis enabled the detection of 23,137 placental lncRNAs and 4263 of them were classified as novel. In FGR-affected female fetuses’ placentas (ff-FGR), among 19 transcriptionally active regions (TARs), five differentially expressed lncRNAs (DELs) and 12 differentially expressed protein-coding genes (DEGs) were identified. Within 232 differentially expressed TARs identified in male fetuses (mf-FGR), 33 encompassed novel and 176 known lncRNAs, and 52 DEGs were upregulated, while 180 revealed decreased expression. In ff-FGR ACTA2-AS1, lncRNA expression was significantly correlated with five DEGs, and in mf-FGR, 25 TARs were associated with DELs correlated with 157 unique DEGs. Backsplicing circRNA processes were detected in the range of H19 lncRNA, in both ff- and mf-FGR placentas. The performed global lncRNAs characteristics in terms of fetal sex showed dysregulation of DELs, DEGs and circRNAs that may affect fetus growth and pregnancy outcomes. In female placentas, DELs and DEGs were associated mainly with the vasculature, while in male placentas, disturbed expression predominantly affected immune processes.
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Yang C, Tavassolian N. A Fetal Movement Simulation System for Wearable Vibrational Sensors. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2020; 2020:4454-4457. [PMID: 33018983 DOI: 10.1109/embc44109.2020.9175790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
This paper introduces a low-cost phantom system that simulates fetal movements (FMVs) for the first time. This vibration system can be used for testing wearable inertial sensors which detect FMVs from the abdominal wall. The system consists of a phantom abdomen, a linear stage with a stepper motor, a tactile transducer, and control circuits. The linear stage is used to generate mechanical vibrations which are transferred to the latex abdomen. A tactile transducer is implemented to add environmental noise to the system. The system is characterized and tested using a wireless sensor. The sensor recordings are analyzed using time-frequency analysis and the results are compared to real FMVs reported in the literature. Experiments are conducted to characterize the vibration range, frequency response, and noise generation of the system. It is shown that the system is effective in simulating the vibration of fetal movements, covering the full frequency and magnitude ranges of real FMV vibrations. The noise generation test shows that the system can effectively create scenarios with different signal-to-noise ratios for FMV detection. The system can facilitate the development of fetal movement monitoring systems and algorithms.
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10
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Xu C, Guo Z, Zhang J, Lu Q, Tian Q, Liu S, Li K, Wang K, Tao Z, Li C, Lv Z, Zhang Z, Yang X, Yang F. Non-invasive prediction of fetal growth restriction by whole-genome promoter profiling of maternal plasma DNA: a nested case-control study. BJOG 2020; 128:458-466. [PMID: 32364311 PMCID: PMC7818264 DOI: 10.1111/1471-0528.16292] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/23/2020] [Indexed: 11/28/2022]
Abstract
Objective To predict fetal growth restriction (FGR) by whole‐genome promoter profiling of maternal plasma. Design Nested case–control study. Setting Hospital‐based. Population or Sample 810 pregnancies: 162 FGR cases and 648 controls. Methods We identified gene promoters with a nucleosome footprint that differed between FGR cases and controls based on maternal plasma cell‐free DNA (cfDNA) nucleosome profiling. Optimal classifiers were developed using support vector machine (SVM) and logistic regression (LR) models. Main outcome measures Genes with differential coverages in promoter regions through the low‐coverage whole‐genome sequencing data analysis among FGR cases and controls. Receiver operating characteristic (ROC) analysis (area under the curve [AUC], accuracy, sensitivity and specificity) was used to evaluate the performance of classifiers. Results Through the low‐coverage whole‐genome sequencing data analysis of FGR cases and controls, genes with significantly differential DNA coverage at promoter regions (−1000 to +1000 bp of transcription start sites) were identified. The non‐invasive ‘FGR classifier 1’ (CFGR1) had the highest classification performance (AUC, 0.803; 95% CI 0.767–0.839; accuracy, 83.2%) was developed based on 14 genes with differential promoter coverage using a support vector machine. Conclusions A promising FGR prediction method was successfully developed for assessing the risk of FGR at an early gestational age based on maternal plasma cfDNA nucleosome profiling. Tweetable abstract A promising FGR prediction method was successfully developed, based on maternal plasma cfDNA nucleosome profiling. A promising FGR prediction method was successfully developed, based on maternal plasma cfDNA nucleosome profiling.
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Affiliation(s)
- C Xu
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.,Department of Obstetrics and Gynaecology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Z Guo
- Institute of Antibody Engineering, School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, China
| | - J Zhang
- Department of Obstetrics and Gynaecology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Q Lu
- Department of Obstetrics and Gynaecology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Q Tian
- Department of Obstetrics and Gynaecology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - S Liu
- Department of Obstetrics and Gynaecology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - K Li
- Institute of Antibody Engineering, School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, China
| | - K Wang
- Department of Obstetrics and Gynaecology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Z Tao
- Department of Obstetrics and Gynaecology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - C Li
- Department of Obstetrics and Gynaecology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Z Lv
- Department of Pathology, Cangzhou People's Hospital, Cangzhou, China.,Department of Pharmacy, Cangzhou People's Hospital, Cangzhou, China
| | - Z Zhang
- Department of Pathology, Cangzhou People's Hospital, Cangzhou, China.,Department of Pharmacy, Cangzhou People's Hospital, Cangzhou, China
| | - X Yang
- Institute of Antibody Engineering, School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, China
| | - F Yang
- Department of Obstetrics and Gynaecology, Nanfang Hospital, Southern Medical University, Guangzhou, China.,Zhujiang Hospital, Southern Medical University, Guangzhou, China
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Majewska M, Lipka A, Paukszto L, Jastrzebski JP, Szeszko K, Gowkielewicz M, Lepiarczyk E, Jozwik M, Majewski MK. Placenta Transcriptome Profiling in Intrauterine Growth Restriction (IUGR). Int J Mol Sci 2019; 20:E1510. [PMID: 30917529 PMCID: PMC6471577 DOI: 10.3390/ijms20061510] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Revised: 03/22/2019] [Accepted: 03/24/2019] [Indexed: 12/14/2022] Open
Abstract
Intrauterine growth restriction (IUGR) is a serious pathological complication associated with compromised fetal development during pregnancy. The aim of the study was to broaden knowledge about the transcriptomic complexity of the human placenta by identifying genes potentially involved in IUGR pathophysiology. RNA-Seq data were used to profile protein-coding genes, detect alternative splicing events (AS), single nucleotide variant (SNV) calling, and RNA editing sites prediction in IUGR-affected placental transcriptome. The applied methodology enabled detection of 37,501 transcriptionally active regions and the selection of 28 differentially-expressed genes (DEGs), among them 10 were upregulated and 18 downregulated in IUGR-affected placentas. Functional enrichment annotation indicated that most of the DEGs were implicated in the processes of inflammation and immune disorders related to IUGR and preeclampsia. Additionally, we revealed that some genes (S100A13, GPR126, CTRP1, and TFPI) involved in the alternation of splicing events were mainly implicated in angiogenic-related processes. Significant SNVs were overlapped with 6533 transcripts and assigned to 2386 coding sequence (CDS), 1528 introns, 345 5' untranslated region (UTR), 1260 3'UTR, 918 non-coding RNA (ncRNA), and 10 intergenic regions. Within CDS regions, 543 missense substitutions with functional effects were recognized. Two known mutations (rs4575, synonymous; rs3817, on the downstream region) were detected within the range of AS and DEG candidates: PA28β and PINLYP, respectively. Novel genes that are dysregulated in IUGR were detected in the current research. Investigating genes underlying the IUGR is crucial for identification of mechanisms regulating placental development during a complicated pregnancy.
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Affiliation(s)
- Marta Majewska
- Department of Human Physiology, School of Medicine, Collegium Medicum, University of Warmia and Mazury in Olsztyn, Warszawska Str 30, 10-082 Olsztyn, Poland.
| | - Aleksandra Lipka
- Department of Gynecology and Obstetrics, School of Medicine, Collegium Medicum, University of Warmia and Mazury in Olsztyn, Niepodleglosci Str 44, 10-045 Olsztyn, Poland.
| | - Lukasz Paukszto
- Department of Plant Physiology, Genetics and Biotechnology, Faculty of Biology and Biotechnology, University of Warmia and Mazury in Olsztyn, Oczapowskiego Str 1A, 10-719 Olsztyn-Kortowo, Poland.
| | - Jan Pawel Jastrzebski
- Department of Plant Physiology, Genetics and Biotechnology, Faculty of Biology and Biotechnology, University of Warmia and Mazury in Olsztyn, Oczapowskiego Str 1A, 10-719 Olsztyn-Kortowo, Poland.
| | - Karol Szeszko
- Department of Animal Anatomy and Physiology, Faculty of Biology and Biotechnology, University of Warmia and Mazury in Olsztyn, Oczapowskiego Str 1A, 10-719 Olsztyn-Kortowo, Poland.
| | - Marek Gowkielewicz
- Department of Gynecology and Obstetrics, School of Medicine, Collegium Medicum, University of Warmia and Mazury in Olsztyn, Niepodleglosci Str 44, 10-045 Olsztyn, Poland.
| | - Ewa Lepiarczyk
- Department of Human Physiology, School of Medicine, Collegium Medicum, University of Warmia and Mazury in Olsztyn, Warszawska Str 30, 10-082 Olsztyn, Poland.
| | - Marcin Jozwik
- Department of Gynecology and Obstetrics, School of Medicine, Collegium Medicum, University of Warmia and Mazury in Olsztyn, Niepodleglosci Str 44, 10-045 Olsztyn, Poland.
| | - Mariusz Krzysztof Majewski
- Department of Human Physiology, School of Medicine, Collegium Medicum, University of Warmia and Mazury in Olsztyn, Warszawska Str 30, 10-082 Olsztyn, Poland.
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12
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Vieira MC, Relph S, Copas A, Healey A, Coxon K, Alagna A, Briley A, Johnson M, Lawlor DA, Lees C, Marlow N, McCowan L, Page L, Peebles D, Shennan A, Thilaganathan B, Khalil A, Sandall J, Pasupathy D. The DESiGN trial (DEtection of Small for Gestational age Neonate), evaluating the effect of the Growth Assessment Protocol (GAP): study protocol for a randomised controlled trial. Trials 2019; 20:154. [PMID: 30832739 PMCID: PMC6398257 DOI: 10.1186/s13063-019-3242-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2018] [Accepted: 02/06/2019] [Indexed: 11/29/2022] Open
Abstract
Background Stillbirth rates in the United Kingdom (UK) are amongst the highest of all developed nations. The association between small-for-gestational-age (SGA) foetuses and stillbirth is well established, and observational studies suggest that improved antenatal detection of SGA babies may halve the stillbirth rate. The Growth Assessment Protocol (GAP) describes a complex intervention that includes risk assessment for SGA and screening using customised fundal-height growth charts. Increased detection of SGA from the use of GAP has been implicated in the reduction of stillbirth rates by 22%, in observational studies of UK regions where GAP uptake was high. This study will be the first randomised controlled trial examining the clinical efficacy, health economics and implementation of the GAP programme in the antenatal detection of SGA. Methods/design In this randomised controlled trial, clusters comprising a maternity unit (or National Health Service Trust) were randomised to either implementation of the GAP programme, or standard care. The primary outcome is the rate of antenatal ultrasound detection of SGA in infants found to be SGA at birth by both population and customised standards, as this is recognised as being the group with highest risk for perinatal morbidity and mortality. Secondary outcomes include antenatal detection of SGA by population centiles, antenatal detection of SGA by customised centiles, short-term maternal and neonatal outcomes, resource use and economic consequences, and a process evaluation of GAP implementation. Qualitative interviews will be performed to assess facilitators and barriers to implementation of GAP. Discussion This study will be the first to provide data and outcomes from a randomised controlled trial investigating the potential difference between the GAP programme compared to standard care for antenatal ultrasound detection of SGA infants. Accurate information on the performance and service provision requirements of the GAP protocol has the potential to inform national policy decisions on methods to reduce the rate of stillbirth. Trial registration Primary registry and trial identifying number: ISRCTN 67698474. Registered on 2 November 2016. Electronic supplementary material The online version of this article (10.1186/s13063-019-3242-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Matias C Vieira
- Department of Women and Children's Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College London, Women's Health Academic Centre KHP, 10th Floor North Wing, St. Thomas' Hospital, Westminster Bridge Road, London, SE1 7EH, UK
| | - Sophie Relph
- Department of Women and Children's Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College London, Women's Health Academic Centre KHP, 10th Floor North Wing, St. Thomas' Hospital, Westminster Bridge Road, London, SE1 7EH, UK
| | - Andrew Copas
- Centre for Pragmatic Global Health Trials, Institute for Global Health, University College London, Gower Street, London, WC1E 6BT, UK
| | - Andrew Healey
- Department of Women and Children's Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College London, Women's Health Academic Centre KHP, 10th Floor North Wing, St. Thomas' Hospital, Westminster Bridge Road, London, SE1 7EH, UK
| | - Kirstie Coxon
- Faculty of Health, Social Care and Education, Kingston and St. George's University, 6th Floor, Hunter Wing, Cranmer Terrace, London, SW17 0RE, UK
| | - Alessandro Alagna
- The Guy's and St Thomas' Charity, 9 King's Head Yard, London, SE1 1NA, UK
| | - Annette Briley
- Department of Women and Children's Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College London, Women's Health Academic Centre KHP, 10th Floor North Wing, St. Thomas' Hospital, Westminster Bridge Road, London, SE1 7EH, UK
| | - Mark Johnson
- Department of Surgery and Cancer, Imperial College London, Kensington, London, SW7 2AZ, UK
| | - Deborah A Lawlor
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, BS8 2BL, UK.,Bristol NIHR Biomedical Research Centre, Bristol, BS8 2BL, UK
| | - Christoph Lees
- Department of Surgery and Cancer, Imperial College London, Kensington, London, SW7 2AZ, UK
| | - Neil Marlow
- UCL Institute for Women's Health, University College London, Gower Street, London, WC1E 6BT, UK
| | - Lesley McCowan
- Faculty of Medical and Health Sciences, University of Auckland, Victoria Street West, Auckland, 1142, New Zealand
| | - Louise Page
- West Middlesex University Hospital, Chelsea and Westminster Hospital NHS Foundation Trust, Twickenham Road, Isleworth, TW7 6AF, UK
| | - Donald Peebles
- UCL Institute for Women's Health, University College London, Gower Street, London, WC1E 6BT, UK
| | - Andrew Shennan
- Department of Women and Children's Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College London, Women's Health Academic Centre KHP, 10th Floor North Wing, St. Thomas' Hospital, Westminster Bridge Road, London, SE1 7EH, UK
| | - Baskaran Thilaganathan
- Fetal Medicine Unit, St George's University Hospitals NHS Foundation Trust, Blackshaw Road, London, SW17 0QT, UK.,Molecular and Clinical Sciences Research Institute, St George's, University of London, Cranmer Terrace, London, SW17 0RE, UK
| | - Asma Khalil
- Fetal Medicine Unit, St George's University Hospitals NHS Foundation Trust, Blackshaw Road, London, SW17 0QT, UK.,Molecular and Clinical Sciences Research Institute, St George's, University of London, Cranmer Terrace, London, SW17 0RE, UK
| | - Jane Sandall
- Department of Women and Children's Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College London, Women's Health Academic Centre KHP, 10th Floor North Wing, St. Thomas' Hospital, Westminster Bridge Road, London, SE1 7EH, UK
| | - Dharmintra Pasupathy
- Department of Women and Children's Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College London, Women's Health Academic Centre KHP, 10th Floor North Wing, St. Thomas' Hospital, Westminster Bridge Road, London, SE1 7EH, UK.
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Goldenberg RL, Muhe L, Saleem S, Dhaded S, Goudar SS, Patterson J, Nigussie A, McClure EM. Criteria for assigning cause of death for stillbirths and neonatal deaths in research studies in low-middle income countries. J Matern Fetal Neonatal Med 2018; 32:1915-1923. [PMID: 30134756 DOI: 10.1080/14767058.2017.1419177] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Accurate knowledge regarding cause of death (COD) for stillbirths and neonatal deaths is crucial, especially in low-income countries, in order for public health and medical officials to choose appropriate interventions likely to reduce these deaths. To date, many of the COD studies in these areas have relied only on obstetric or neonatal clinical information and the determination of COD is likely to be inaccurate. Information related to infectious COD is especially lacking. Thus, without more sophisticated testing, data as currently collected only provide a very weak approximation of the COD and may well lead to adoption of interventions of limited usefulness. In this commentary, we propose recommendations regarding the type of data needed to determine with reasonable accuracy the COD for stillbirths and neonatal deaths in low-resource settings. Using these data, and a method to determine the degree of certainty, we then propose definitions for the most common COD. Our goal is to reduce subjectivity and provide more specificity for the tests used in existing classification systems so that the methodology of COD determination is transparent and able to be replicated over time and from location to location.
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Affiliation(s)
| | - Lulu Muhe
- b Addis Ababa University , Addis Ababa , Ethiopia
| | - Sarah Saleem
- c Department of Community Health Sciences , Aga Khan University , Karachi , Pakistan
| | | | | | - Janna Patterson
- e Bill & Melinda Gates Foundation , Seattle , Washington , USA
| | - Assaye Nigussie
- e Bill & Melinda Gates Foundation , Seattle , Washington , USA
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Core Outcome Set for GROwth restriction: deVeloping Endpoints (COSGROVE). Trials 2018; 19:451. [PMID: 30134949 PMCID: PMC6106886 DOI: 10.1186/s13063-018-2819-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2018] [Accepted: 07/24/2018] [Indexed: 11/15/2022] Open
Abstract
Background Foetal growth restriction (FGR) refers to a foetus that does not reach its genetically predetermined growth potential. It is well recognised that growth-restricted foetuses are at increased risk of stillbirth, foetal compromise, early neonatal death and neonatal morbidity. Later in life, they are prone to health problems, including increased risk of cardiovascular diseases and neurodevelopmental disorders. Interventions for preventing and treating FGR have been studied in many trials, but evidence is often difficult to synthesise and compare because of differences in the selection and definition of outcomes. To enable future trials to measure similar, meaningful outcomes, we are developing two core outcome sets (COS) – one for prevention and the other for treatment of FGR. Methods We will review the literature to identify previously reported outcomes. An international panel of relevant stakeholders who have experience of FGR (parent or carer of a baby that was growth restricted, health professional involved in the care of mothers and babies affected by FGR, a person with expertise in FGR research) will rate the importance of each of those outcomes in a series of three sequential online rounds of a Delphi study. Participants will be able to add items to the proposed list in round 1. A final face-to-face consensus meeting will be held with representatives of each stakeholder group at which a final list of outcomes for inclusion in the COS will be agreed. Discussion The development of COSs in FGR will ensure the collection and reporting of a minimum dataset agreed by stakeholder consensus and will reduce inconsistencies in the reporting of outcomes across relevant trials. Such standardisation in the reporting of outcomes will improve synthesis of evidence and generalisability of knowledge in the future by reducing heterogeneity in outcomes between trials and thus improve the results of systematic reviews and meta-analyses. Ultimately, we hope that the COSs will lead to an improvement in the quality of evidence-based clinical practice, enhance patient care, and improve the quality and consistency of research. Trial registration Not applicable. This study is registered in the Core Outcome Measures for Effectiveness (COMET) database.
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15
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Cozzolino M, Serena C, Calabró AS, Savi E, Rambaldi MP, Simeone S, Ottanelli S, Mello G, Rombolá G, Troiano G, Nante N, Vannuccini S, Mecacci F, Petraglia F. Human leukocyte antigen DQ2/DQ8 positivity in women with history of stillbirth. Am J Reprod Immunol 2018; 80:e13038. [PMID: 30125434 DOI: 10.1111/aji.13038] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Revised: 07/23/2018] [Accepted: 07/27/2018] [Indexed: 12/20/2022] Open
Abstract
PROBLEM The aim of this study was to investigate the prevalence of human leukocyte antigens (HLA) DQ2 and DQ8 haplotypes, two common polymorphisms associate with celiac disease (CD), in women with previous stillbirth, but not affected by CD. METHOD OF STUDY Women with history of unexplained term stillbirth referred to our Center for High-Risk Pregnancies for a preconception counseling, and women with previous uncomplicated pregnancies, were enrolled as cases and controls. Celiac women were excluded from the study. Genetic tests for HLA DQ2/DQ8 were performed, and patients' data were compared. RESULTS The population included 56 women with a previous term stillbirth and 379 women with history of uncomplicated pregnancies. The prevalence of HLA-DQ2 or DQ8 positivity was significantly higher in cases than in controls (50% vs 29.5%) (P = 0.0031). Women with HLA DQ8 genotype have a significantly higher risk of stillbirth (OR: 2.84 CI: 1.1840-6.817) and in case of DQ2 genotype the OR for stillbirth was even higher (OR: 4.46 CI: 2.408-8.270). In the stillbirth group, SGA neonates were significantly more frequent in those with HLA-DQ2/DQ8 haplotypes than in those resulted negative to genetic testing (85.7% vs 42 .8%, P = 0.004). CONCLUSION In women with history of term stillbirth, a significantly higher prevalence of HLA DQ2/DQ8 haplotypes has been found compared to women with previous uneventful pregnancies. In addition, HLA DQ2/DQ8 positivity was significantly associated with suboptimal fetal growth in intrauterine fetal death cases, as shown by an increased prevalence of SGA babies.
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Affiliation(s)
- Mauro Cozzolino
- Instituto Valenciano de Infertilidad (IVI) - IVI-RMA Global Madrid, Madrid, Spain.,Division of Obstetrics and Gynecology, Department of Biomedical, Experimental and Clinical Sciences, Careggi University Hospital, University of Florence, Florence, Italy
| | - Caterina Serena
- Division of Obstetrics and Gynecology, Department of Biomedical, Experimental and Clinical Sciences, Careggi University Hospital, University of Florence, Florence, Italy
| | - Antonino Salvatore Calabró
- Department of Experimental and Clinical Biomedical Sciences, Gastroenterology Unit, Careggi University Hospital, Florence, Italy
| | - Elena Savi
- Division of Obstetrics and Gynecology, Department of Biomedical, Experimental and Clinical Sciences, Careggi University Hospital, University of Florence, Florence, Italy
| | - Marianna Pina Rambaldi
- Division of Obstetrics and Gynecology, Department of Biomedical, Experimental and Clinical Sciences, Careggi University Hospital, University of Florence, Florence, Italy
| | - Serena Simeone
- Division of Obstetrics and Gynecology, Department of Biomedical, Experimental and Clinical Sciences, Careggi University Hospital, University of Florence, Florence, Italy
| | - Serena Ottanelli
- Division of Obstetrics and Gynecology, Department of Biomedical, Experimental and Clinical Sciences, Careggi University Hospital, University of Florence, Florence, Italy
| | - Giorgio Mello
- Division of Obstetrics and Gynecology, Department of Biomedical, Experimental and Clinical Sciences, Careggi University Hospital, University of Florence, Florence, Italy
| | - Giovanni Rombolá
- Genetics Diagnostics - Laboratory of Immunogenetics and Transplant Biology, Careggi Hospital, Florence, Italy
| | - Gianmarco Troiano
- Post Graduate School of Public Health, University of Siena, Siena, Italy
| | - Nicola Nante
- Post Graduate School of Public Health, University of Siena, Siena, Italy
| | - Silvia Vannuccini
- Division of Obstetrics and Gynecology, Department of Health Sciences, Careggi University Hospital, University of Florence, Florence, Italy.,Department of Molecular and Developmental Medicine, University of Siena, Siena, Italy
| | - Federico Mecacci
- Division of Obstetrics and Gynecology, Department of Biomedical, Experimental and Clinical Sciences, Careggi University Hospital, University of Florence, Florence, Italy
| | - Felice Petraglia
- Division of Obstetrics and Gynecology, Department of Biomedical, Experimental and Clinical Sciences, Careggi University Hospital, University of Florence, Florence, Italy
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Tarca AL, Romero R, Gudicha DW, Erez O, Hernandez-Andrade E, Yeo L, Bhatti G, Pacora P, Maymon E, Hassan SS. A new customized fetal growth standard for African American women: the PRB/NICHD Detroit study. Am J Obstet Gynecol 2018; 218:S679-S691.e4. [PMID: 29422207 DOI: 10.1016/j.ajog.2017.12.229] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2017] [Revised: 12/21/2017] [Accepted: 12/22/2017] [Indexed: 01/08/2023]
Abstract
BACKGROUND The assessment of fetal growth disorders requires a standard. Current nomograms for the assessment of fetal growth in African American women have been derived either from neonatal (rather than fetal) biometry data or have not been customized for maternal ethnicity, weight, height, and parity and fetal sex. OBJECTIVE We sought to (1) develop a new customized fetal growth standard for African American mothers; and (2) compare such a standard to 3 existing standards for the classification of fetuses as small (SGA) or large (LGA) for gestational age. STUDY DESIGN A retrospective cohort study included 4183 women (4001 African American and 182 Caucasian) from the Detroit metropolitan area who underwent ultrasound examinations between 14-40 weeks of gestation (the median number of scans per pregnancy was 5, interquartile range 3-7) and for whom relevant covariate data were available. Longitudinal quantile regression was used to build models defining the "normal" estimated fetal weight (EFW) centiles for gestational age in African American women, adjusted for maternal height, weight, and parity and fetal sex, and excluding pathologic factors with a significant effect on fetal weight. The resulting Perinatology Research Branch/Eunice Kennedy Shriver National Institute of Child Health and Human Development (hereinafter, PRB/NICHD) growth standard was compared to 3 other existing standards--the customized gestation-related optimal weight (GROW) standard; the Eunice Kennedy Shriver National Institute of Child Health and Human Development (hereinafter, NICHD) African American standard; and the multinational World Health Organization (WHO) standard--utilized to screen fetuses for SGA (<10th centile) or LGA (>90th centile) based on the last available ultrasound examination for each pregnancy. RESULTS First, the mean birthweight at 40 weeks was 133 g higher for neonates born to Caucasian than to African American mothers and 150 g higher for male than female neonates; maternal weight, height, and parity had a positive effect on birthweight. Second, analysis of longitudinal EFW revealed the following features of fetal growth: (1) all weight centiles were about 2% higher for male than for female fetuses; (2) maternal height had a positive effect on EFW, with larger fetuses being affected more (2% increase in the 95th centile of weight for each 10-cm increase in height); and (3) maternal weight and parity had a positive effect on EFW that increased with gestation and varied among the weight centiles. Third, the screen-positive rate for SGA was 7.2% for the NICHD African American standard, 12.3% for the GROW standard, 13% for the WHO standard customized by fetal sex, and 14.4% for the PRB/NICHD customized standard. For all standards, the screen-positive rate for SGA was at least 2-fold higher among fetuses delivered preterm than at term. Fourth, the screen-positive rate for LGA was 8.7% for the GROW standard, 9.2% for the PRB/NICHD customized standard, 10.8% for the WHO standard customized by fetal sex, and 12.3% for the NICHD African American standard. Finally, the highest overall agreement among standards was between the GROW and PRB/NICHD customized standards (Cohen's interrater agreement, kappa = 0.85). CONCLUSION We developed a novel customized PRB/NICHD fetal growth standard from fetal data in an African American population without assuming proportionality of the effects of covariates, and without assuming that these effects are equal on all centiles of weight; we also provide an easy-to-use centile calculator. This standard classified more fetuses as being at risk for SGA compared to existing standards, especially among fetuses delivered preterm, but classified about the same number of LGA. The comparison among the 4 growth standards also revealed that the most important factor determining agreement among standards is whether they account for the same factors known to affect fetal growth.
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Affiliation(s)
- Adi L Tarca
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/US Department of Health and Human Services, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI; Department of Computer Science, Wayne State University College of Engineering, Detroit, MI
| | - Roberto Romero
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/US Department of Health and Human Services, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, University of Michigan, Ann Arbor, MI; Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI; Center for Molecular Medicine and Genetics, Wayne State University, Detroit, MI.
| | - Dereje W Gudicha
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/US Department of Health and Human Services, Bethesda, MD, and Detroit, MI
| | - Offer Erez
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/US Department of Health and Human Services, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI
| | - Edgar Hernandez-Andrade
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/US Department of Health and Human Services, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI
| | - Lami Yeo
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/US Department of Health and Human Services, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI
| | - Gaurav Bhatti
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/US Department of Health and Human Services, Bethesda, MD, and Detroit, MI
| | - Percy Pacora
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/US Department of Health and Human Services, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI
| | - Eli Maymon
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/US Department of Health and Human Services, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI
| | - Sonia S Hassan
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/US Department of Health and Human Services, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI; Department of Physiology, Wayne State University School of Medicine, Detroit, MI
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McNamara K, O'Donoghue K, Greene RA. Intrapartum fetal deaths and unexpected neonatal deaths in the Republic of Ireland: 2011 - 2014; a descriptive study. BMC Pregnancy Childbirth 2018; 18:9. [PMID: 29301489 PMCID: PMC5755435 DOI: 10.1186/s12884-017-1636-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2017] [Accepted: 12/15/2017] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Intrapartum fetal death, the death of a fetus during labour, is a tragic outcome of pregnancy. The intrapartum death rate of a country is reflective of the care received by mothers and babies in labour and it is through analysing these cases that good aspects of care, as well as areas for improvement can be identified. Investigating unexpected neonatal deaths that may be associated with an intrapartum event is also helpful to fully appraise intrapartum care. This is a descriptive study of intrapartum fetal deaths and unexpected neonatal deaths in Ireland from 2011 to 2014. METHODS Anonymised data pertaining to all intrapartum fetal deaths and unexpected neonatal deaths for the study time period was obtained from the national perinatal epidemiology centre. All statistical analyses were conducted using Statistical package for the Social Sciences (SPSS). RESULTS There were 81 intrapartum fetal deaths from 2011 to 2014, and 36 unexpected neonatal deaths from 2012 to 2014. The overall intrapartum death rate was 0.29 per 1000 births and the corrected intrapartum fetal death rate was 0.16 per 1000 births. The overall unexpected neonatal death rate was 0.17 per 1000 live births. Major Congenital Malformation accounted for 36/81 intrapartum deaths, chorioamnionitis for 18/81, and placental abruption accounted for eight babies' deaths. Intrapartum asphyxia accounted for eight of the intrapartum deaths. With respect to the neonatal deaths over half (21/36, 58.3%) of the babies died as a result of hypoxic ischaemic encephalopathy. Information is also reported on both maternal and individual baby demographics. CONCLUSIONS This is the first detailed descriptive analysis of intrapartum deaths and unexpected intrapartum event related neonatal deaths in Ireland. The corrected intrapartum fetal death rate was 0.16 per 1000 births. Despite our results being based on the best available national data on intrapartum deaths and unexpected neonatal deaths, we were unable to identify if any of these deaths could have been prevented. A more formal confidential inquiry based system is necessary to fully appraise these cases.
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Affiliation(s)
- K McNamara
- Pregnancy Loss Research Group, Department of Obstetrics and Gynaecology, University College Cork, Cork, Ireland. .,Department of Obstetrics and Gynaecology, Cork University Maternity Hospital, 5th Floor, Wilton, Cork, Ireland.
| | - K O'Donoghue
- Pregnancy Loss Research Group, Department of Obstetrics and Gynaecology, University College Cork, Cork, Ireland.,The Irish Centre for Fetal and Neonatal Translational Research (INFANT), University College Cork, Cork, Ireland
| | - R A Greene
- The National Perinatal Epidemiology Centre, University College Cork, Cork, Ireland
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Chaiworapongsa T, Romero R, Erez O, Tarca AL, Conde-Agudelo A, Chaemsaithong P, Kim CJ, Kim YM, Kim JS, Yoon BH, Hassan SS, Yeo L, Korzeniewski SJ. The prediction of fetal death with a simple maternal blood test at 20-24 weeks: a role for angiogenic index-1 (PlGF/sVEGFR-1 ratio). Am J Obstet Gynecol 2017; 217:682.e1-682.e13. [PMID: 29037482 PMCID: PMC5951183 DOI: 10.1016/j.ajog.2017.10.001] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2017] [Revised: 09/29/2017] [Accepted: 10/01/2017] [Indexed: 12/13/2022]
Abstract
BACKGROUND Fetal death is an obstetrical syndrome that annually affects 2.4 to 3 million pregnancies worldwide, including more than 20,000 in the United States each year. Currently, there is no test available to identify patients at risk for this pregnancy complication. OBJECTIVE We sought to determine if maternal plasma concentrations of angiogenic and antiangiogenic factors measured at 24-28 weeks of gestation can predict subsequent fetal death. STUDY DESIGN A case-cohort study was designed to include 1000 randomly selected subjects and all remaining fetal deaths (cases) from a cohort of 4006 women with a singleton pregnancy, enrolled at 6-22 weeks of gestation, in a pregnancy biomarker cohort study. The placentas of all fetal deaths were histologically examined by pathologists who used a standardized protocol and were blinded to patient outcomes. Placental growth factor, soluble endoglin, and soluble vascular endothelial growth factor receptor-1 concentrations were measured by enzyme-linked immunosorbent assays. Quantiles of the analyte concentrations (or concentration ratios) were estimated as a function of gestational age among women who delivered a live neonate but did not develop preeclampsia or deliver a small-for-gestational-age newborn. A positive test was defined as analyte concentrations (or ratios) <2.5th and 10th centiles (placental growth factor, placental growth factor/soluble vascular endothelial growth factor receptor-1 [angiogenic index-1] and placental growth factor/soluble endoglin) or >90th and 97.5th centiles (soluble vascular endothelial growth factor receptor-1 and soluble endoglin). Inverse probability weighting was used to reflect the parent cohort when estimating the relative risk. RESULTS There were 11 fetal deaths and 829 controls with samples available for analysis between 24-28 weeks of gestation. Three fetal deaths occurred <28 weeks and 8 occurred ≥28 weeks of gestation. The rate of placental lesions consistent with maternal vascular underperfusion was 33.3% (1/3) among those who had a fetal death <28 weeks and 87.5% (7/8) of those who had this complication ≥28 weeks of gestation. The maternal plasma angiogenic index-1 value was <10th centile in 63.6% (7/11) of the fetal death group and in 11.1% (92/829) of the controls. The angiogenic index-1 value was <2.5th centile in 54.5% (6/11) of the fetal death group and in 3.7% (31/829) of the controls. An angiogenic index-1 value <2.5th centile had the largest positive likelihood ratio for predicting fetal death >24 weeks (14.6; 95% confidence interval, 7.7-27.7) and a relative risk of 29.1 (95% confidence interval, 8.8-97.1), followed by soluble endoglin >97.5th centile and placental growth factor/soluble endoglin <2.5th, both with a positive likelihood ratio of 13.7 (95% confidence interval, 7.3-25.8) and a relative risk of 27.4 (95% confidence interval, 8.2-91.2). Among women without a fetal death whose plasma angiogenic index-1 concentration ratio was <2.5th centile, 61% (19/31) developed preeclampsia or delivered a small-for-gestational-age neonate; when the 10th centile was used as the cut-off, 37% (34/92) of women had these adverse outcomes. CONCLUSION (1) A maternal plasma angiogenic index-1 value <2.5th centile (0.126) at 24-28 weeks of gestation carries a 29-fold increase in the risk of subsequent fetal death and identifies 55% of subsequent fetal deaths with a false-positive rate of 3.5%; and (2) 61% of women who have a false-positive test result will subsequently experience adverse pregnancy outcomes.
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Affiliation(s)
- Tinnakorn Chaiworapongsa
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/Department of Health and Human Services, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI
| | - Roberto Romero
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/Department of Health and Human Services, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, University of Michigan, Ann Arbor, MI; Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI; Center for Molecular Medicine and Genetics, Wayne State University, Detroit, MI.
| | - Offer Erez
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/Department of Health and Human Services, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI; Department of Obstetrics and Gynecology, Soroka University Medical Center, School of Medicine, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beersheba, Israel
| | - Adi L Tarca
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/Department of Health and Human Services, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI
| | - Agustin Conde-Agudelo
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/Department of Health and Human Services, Bethesda, MD, and Detroit, MI
| | - Piya Chaemsaithong
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/Department of Health and Human Services, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI
| | - Chong Jai Kim
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/Department of Health and Human Services, Bethesda, MD, and Detroit, MI; Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Yeon Mee Kim
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/Department of Health and Human Services, Bethesda, MD, and Detroit, MI; Department of Pathology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea
| | - Jung-Sun Kim
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/Department of Health and Human Services, Bethesda, MD, and Detroit, MI; Department of Pathology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Bo Hyun Yoon
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/Department of Health and Human Services, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Sonia S Hassan
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/Department of Health and Human Services, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI
| | - Lami Yeo
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/Department of Health and Human Services, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI
| | - Steven J Korzeniewski
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/Department of Health and Human Services, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI; Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI
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Reinebrant HE, Leisher SH, Coory M, Henry S, Wojcieszek AM, Gardener G, Lourie R, Ellwood D, Teoh Z, Allanson E, Blencowe H, Draper ES, Erwich JJ, Frøen JF, Gardosi J, Gold K, Gordijn S, Gordon A, Heazell A, Khong TY, Korteweg F, Lawn JE, McClure EM, Oats J, Pattinson R, Pettersson K, Siassakos D, Silver RM, Smith G, Tunçalp Ö, Flenady V. Making stillbirths visible: a systematic review of globally reported causes of stillbirth. BJOG 2017; 125:212-224. [PMID: 29193794 DOI: 10.1111/1471-0528.14971] [Citation(s) in RCA: 107] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/08/2017] [Indexed: 01/06/2023]
Abstract
BACKGROUND Stillbirth is a global health problem. The World Health Organization (WHO) application of the International Classification of Diseases for perinatal mortality (ICD-PM) aims to improve data on stillbirth to enable prevention. OBJECTIVES To identify globally reported causes of stillbirth, classification systems, and alignment with the ICD-PM. SEARCH STRATEGY We searched CINAHL, EMBASE, Medline, Global Health, and Pubmed from 2009 to 2016. SELECTION CRITERIA Reports of stillbirth causes in unselective cohorts. DATA COLLECTION AND ANALYSIS Pooled estimates of causes were derived for country representative reports. Systems and causes were assessed for alignment with the ICD-PM. Data are presented by income setting (low, middle, and high income countries; LIC, MIC, HIC). MAIN RESULTS Eighty-five reports from 50 countries (489 089 stillbirths) were included. The most frequent categories were Unexplained, Antepartum haemorrhage, and Other (all settings); Infection and Hypoxic peripartum (LIC), and Placental (MIC, HIC). Overall report quality was low. Only one classification system fully aligned with ICD-PM. All stillbirth causes mapped to ICD-PM. In a subset from HIC, mapping obscured major causes. CONCLUSIONS There is a paucity of quality information on causes of stillbirth globally. Improving investigation of stillbirths and standardisation of audit and classification is urgently needed and should be achievable in all well-resourced settings. Implementation of the WHO Perinatal Mortality Audit and Review guide is needed, particularly across high burden settings. FUNDING HR, SH, SHL, and AW were supported by an NHMRC-CRE grant (APP1116640). VF was funded by an NHMRC-CDF (APP1123611). TWEETABLE ABSTRACT Urgent need to improve data on causes of stillbirths across all settings to meet global targets. PLAIN LANGUAGE SUMMARY Background and methods Nearly three million babies are stillborn every year. These deaths have deep and long-lasting effects on parents, healthcare providers, and the society. One of the major challenges to preventing stillbirths is the lack of information about why they happen. In this study, we collected reports on the causes of stillbirth from high-, middle-, and low-income countries to: (1) Understand the causes of stillbirth, and (2) Understand how to improve reporting of stillbirths. Findings We found 85 reports from 50 different countries. The information available from the reports was inconsistent and often of poor quality, so it was hard to get a clear picture about what are the causes of stillbirth across the world. Many different definitions of stillbirth were used. There was also wide variation in what investigations of the mother and baby were undertaken to identify the cause of stillbirth. Stillbirths in all income settings (low-, middle-, and high-income countries) were most frequently reported as Unexplained, Other, and Haemorrhage (bleeding). Unexplained and Other are not helpful in understanding why a baby was stillborn. In low-income countries, stillbirths were often attributed to Infection and Complications during labour and birth. In middle- and high-income countries, stillbirths were often reported as Placental complications. Limitations We may have missed some reports as searches were carried out in English only. The available reports were of poor quality. Implications Many countries, particularly those where the majority of stillbirths occur, do not report any information about these deaths. Where there are reports, the quality is often poor. It is important to improve the investigation and reporting of stillbirth using a standardised system so that policy makers and healthcare workers can develop effective stillbirth prevention programs. All stillbirths should be investigated and reported in line with the World Health Organization standards.
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Affiliation(s)
- H E Reinebrant
- Centre of Research Excellence in Stillbirth, Mater Research Institute, The University of Queensland (MRI-UQ), Brisbane, QLD, Australia.,International Stillbirth Alliance, Bristol, UK
| | - S H Leisher
- Centre of Research Excellence in Stillbirth, Mater Research Institute, The University of Queensland (MRI-UQ), Brisbane, QLD, Australia.,International Stillbirth Alliance, Bristol, UK
| | - M Coory
- Murdoch Childrens Research Institute, Melbourne, Vic., Australia.,Department of Paediatrics, University of Melbourne, Melbourne, Vic., Australia
| | - S Henry
- Centre of Research Excellence in Stillbirth, Mater Research Institute, The University of Queensland (MRI-UQ), Brisbane, QLD, Australia.,International Stillbirth Alliance, Bristol, UK
| | - A M Wojcieszek
- Centre of Research Excellence in Stillbirth, Mater Research Institute, The University of Queensland (MRI-UQ), Brisbane, QLD, Australia.,International Stillbirth Alliance, Bristol, UK
| | - G Gardener
- Centre of Research Excellence in Stillbirth, Mater Research Institute, The University of Queensland (MRI-UQ), Brisbane, QLD, Australia.,International Stillbirth Alliance, Bristol, UK
| | - R Lourie
- Centre of Research Excellence in Stillbirth, Mater Research Institute, The University of Queensland (MRI-UQ), Brisbane, QLD, Australia.,Translational Research Institute, Brisbane, QLD, Australia
| | - D Ellwood
- Griffith University School of Medicine, Gold Coast, QLD, Australia.,Gold Coast University Hospital, Gold Coast, QLD, Australia
| | - Z Teoh
- Centre of Research Excellence in Stillbirth, Mater Research Institute, The University of Queensland (MRI-UQ), Brisbane, QLD, Australia.,Department of Medicine-Pediatrics, University of Louisville, Louisville, KY, USA
| | - E Allanson
- Department of Reproductive Health and Research including UNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP), World Health Organization, Geneva, Switzerland.,School of Women's and Infants' Health, Faculty of Medicine, Dentistry and Health Sciences, University of Western Australia, Perth, WA, Australia
| | - H Blencowe
- London School of Hygiene & Tropical Medicine, London, UK
| | - E S Draper
- MBRRACE-UK, Department of Health Sciences, University of Leicester Centre for Medicine, Leicester, UK
| | - J J Erwich
- International Stillbirth Alliance, Bristol, UK.,University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - J F Frøen
- Norwegian Institute of Public Health, Oslo, Norway.,Centre for Intervention Science in Maternal and Child Health (CISMAC), University of Bergen, Bergen, Norway
| | | | - K Gold
- International Stillbirth Alliance, Bristol, UK.,Department of Family Medicine, University of Michigan, Ann Arbor, MI, USA.,Department of Obstetrics and Gynecology, University of Michigan, Ann Arbor, MI, USA
| | - S Gordijn
- International Stillbirth Alliance, Bristol, UK.,University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - A Gordon
- University of Sydney, Sydney, NSW, Australia
| | - Aep Heazell
- Division of Developmental Biomedicine, Faculty of Medical and Human Sciences, University of Manchester, Manchester, UK.,St Mary's Hospital, Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - T Y Khong
- SA Pathology, Women's and Children's Hospital, North Adelaide, SA, Australia
| | - F Korteweg
- Department of Obstetrics and Gynecology, Martini Hospital, Groningen, the Netherlands
| | - J E Lawn
- London School of Hygiene & Tropical Medicine, London, UK
| | - E M McClure
- International Stillbirth Alliance, Bristol, UK.,Department of Social, Statistical and Environmental Health Sciences, Research Triangle Institute, Research Triangle Park, NC, USA
| | - J Oats
- Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Vic., Australia.,Consultative Council on Obstetric and Paediatric Mortality and Morbidity (CCOPMM), Melbourne, Vic., Australia
| | - R Pattinson
- Department of Obstetrics and Gynaecology, University of Pretoria, Pretoria, South Africa
| | - K Pettersson
- Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden
| | - D Siassakos
- International Stillbirth Alliance, Bristol, UK.,Obstetrics and Gynaecology, School of Social and Community Medicine, Southmead Hospital, University of Bristol, Bristol, UK
| | - R M Silver
- University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Gcs Smith
- Department of Obstetrics and Gynaecology, NIHR Cambridge Comprehensive Biomedical Research Centre, University of Cambridge, Cambridge, UK
| | - Ö Tunçalp
- Department of Reproductive Health and Research including UNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP), World Health Organization, Geneva, Switzerland
| | - V Flenady
- Centre of Research Excellence in Stillbirth, Mater Research Institute, The University of Queensland (MRI-UQ), Brisbane, QLD, Australia.,International Stillbirth Alliance, Bristol, UK
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Mecacci F, Serena C, Avagliano L, Cozzolino M, Baroni E, Rambaldi MP, Simeone S, Castiglione F, Taddei GL, Bulfamante G. Stillbirths at Term: Case Control Study of Risk Factors, Growth Status and Placental Histology. PLoS One 2016; 11:e0166514. [PMID: 27936018 PMCID: PMC5147826 DOI: 10.1371/journal.pone.0166514] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2016] [Accepted: 10/31/2016] [Indexed: 02/07/2023] Open
Abstract
Objective To investigate the proportion of stillbirths at term associated with abnormal growth using customized birth weight percentiles and to compare histological placental findings both in underweight stillborn fetuses and in live births. Methods A retrospective case-control study of 150 singleton term stillbirths. The livebirth control groups included 586 cases of low-risk pregnancies and 153 late fetal growth restriction fetuses. Stillbirths and livebirths from low-risk pregnancies were classified using customized standards for fetal weight at birth, as adequate for gestational age (AGA; 10-90th percentile), small (SGA; <10th percentile) or large for gestational age (LGA; >90th percentile). Placental characteristics in stillbirth were compared with those from livebirths using four categories: inflammation, disruptive, obstructive and adaptive lesions. Results There was a higher rate of SGA (26% vs 6%, p<0.001) and LGA fetuses (10.6% vs 5.6%, p<0.05) in the stillbirth group. Among stillbirth fetuses, almost half of the SGA were very low birthweight (≤3°percentile) (12% vs 0.3%, p<0.001). The disruptive (7.3% vs 0.17%;p<0.001), obstructive (54.6% vs 7.5%;p<0.001) and adaptive (46.6% vs 35.8%;p<0.001) findings were significantly more common in than in livebirth-low risk. Placental characteristics of AGA and SGA stillbirth were compared with those of AGA and FGR livebirth. In stillbirths-SGA we found a higher number of disruptive (12.8% vs 0%; p<0.001), obstructive (58.9% vs 23.5%;p<0.001) and adaptive lesions (56.4% vs 49%; p 0.47) than in livebirth-FGR. Conclusion The assessment of fetal weight with customized curves can identify fetuses which have not reached their genetically determined growth potential and are therefore at risk for adverse outcomes. Placental evaluation in stillbirths can reveal chronic histological signs that might be useful to clinical assessment, especially in underweight fetuses.
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Affiliation(s)
- Federico Mecacci
- Department of Sciences for the Health of Women and Children, Careggi Hospital, Florence, Italy
| | - Caterina Serena
- Department of Sciences for the Health of Women and Children, Careggi Hospital, Florence, Italy
- * E-mail:
| | - Laura Avagliano
- Department of Health Sciences, San Paolo Hospital Medical School University of Milan, Milan, Italy
| | - Mauro Cozzolino
- Department of Biomedical, Experimental and Clinical Sciences-Division of Obstetrics and Gynaecology, University of Florence, Florence, Italy
| | - Eleonora Baroni
- Department of Sciences for the Health of Women and Children, Careggi Hospital, Florence, Italy
| | - Marianna Pina Rambaldi
- Department of Sciences for the Health of Women and Children, Careggi Hospital, Florence, Italy
| | - Serena Simeone
- Department of Sciences for the Health of Women and Children, Careggi Hospital, Florence, Italy
| | | | | | - Gaetano Bulfamante
- Department of Health Sciences, San Paolo Hospital Medical School University of Milan, Milan, Italy
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21
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Chaiworapongsa T, Romero R, Whitten AE, Korzeniewski SJ, Chaemsaithong P, Hernandez-Andrade E, Yeo L, Hassan SS. The use of angiogenic biomarkers in maternal blood to identify which SGA fetuses will require a preterm delivery and mothers who will develop pre-eclampsia. J Matern Fetal Neonatal Med 2016; 29:1214-28. [PMID: 26303962 DOI: 10.3109/14767058.2015.1048431] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
OBJECTIVE To determine (1) whether maternal plasma concentrations of angiogenic and anti-angiogenic factors can predict which mothers diagnosed with "suspected small for gestational age fetuses (sSGA)" will develop pre-eclampsia (PE) or require an indicated early preterm delivery (≤ 34 weeks of gestation); and (2) whether risk assessment performance is improved using these proteins in addition to clinical factors and Doppler parameters. METHODS This prospective cohort study included women with singleton pregnancies diagnosed with sSGA (estimated fetal weight <10th percentile) between 24 and 34 weeks of gestation (n = 314). Plasma concentrations of soluble vascular endothelial growth factor receptor-1 (sVEGFR-1), soluble endoglin (sEng) and placental growth factor (PlGF) were determined in maternal blood obtained at the time of diagnosis. Doppler velocimetry of the umbilical (Umb) and uterine (UT) arteries was performed. The outcomes were (1) subsequent development of PE; and (2) indicated preterm delivery at ≤ 34 weeks of gestation (excluding deliveries as a result of spontaneous preterm labor, preterm pre-labor rupture of membranes or chorioamnionitis). RESULTS (1) The prevalence of PE and indicated preterm delivery was 9.2% (n = 29/314) and 7.3% (n = 23/314), respectively; (2) the area under the receiver operating characteristic curve (AUC) for the identification of patients who developed PE and/or required indicated preterm delivery was greater than 80% for the UT artery pulsatility index (PI) z-score and each biochemical marker (including their ratios) except sVEGFR-1 MoM; (3) using cutoffs at a false positive rate of 15%, women with abnormal plasma concentrations of angiogenic/anti-angiogenic factors were 7-13 times more likely to develop PE, and 12-22 times more likely to require preterm delivery than those with normal plasma MoM concentrations of these factors; (4) sEng, PlGF, PIGF/sEng and PIGF/sVEGFR-1 ratios MoM, each contributed significant information about the risk of PE beyond that provided by clinical factors and/or Doppler parameters: women who had low MoM values for these biomarkers were at 5-9 times greater risk of developing PE than women who had normal values, adjusting for clinical factors and Doppler parameters (adjusted odds ratio for PlGF: 9.1, PlGF/sEng: 5.6); (5) the concentrations of sVEGFR-1 and PlGF/sVEGFR-1 ratio MoM, each contributed significant information about the risk of indicated preterm delivery beyond that provided by clinical factors and/or Doppler parameters: women who had abnormal values were at 8-9 times greater risk for indicated preterm delivery, adjusting for clinical factors and Doppler parameters; and (6) for a two-stage risk assessment (Umb artery Doppler followed by Ut artery Doppler plus biochemical markers), among women who had normal Umb artery Doppler velocimetry (n = 279), 21 (7.5%) developed PE and 11 (52%) of these women were identified by an abnormal UT artery Doppler mean PI z-score (>2SD): a combination of PlGF/sEng ratio MoM concentration and abnormal UT artery Doppler velocimetry increased the sensitivity of abnormal UT artery Doppler velocimetry to 76% (16/21) at a fixed false-positive rate of 10% (p = 0.06). CONCLUSION Angiogenic and anti-angiogenic factors measured in maternal blood between 24 and 34 weeks of gestation can identify the majority of mothers diagnosed with "suspected SGA" who subsequently developed PE or those who later required preterm delivery ≤ 34 weeks of gestation. Moreover, incorporation of these biochemical markers significantly improves risk assessment performance for these outcomes beyond that of clinical factors and uterine and umbilical artery Doppler velocimetry.
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Nappi L, Trezza F, Bufo P, Riezzo I, Turillazzi E, Borghi C, Bonaccorsi G, Scutiero G, Fineschi V, Greco P. Classification of stillbirths is an ongoing dilemma. J Perinat Med 2016; 44:837-843. [PMID: 26910736 DOI: 10.1515/jpm-2015-0318] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2015] [Accepted: 01/18/2016] [Indexed: 11/15/2022]
Abstract
AIM To compare different classification systems in a cohort of stillbirths undergoing a comprehensive workup; to establish whether a particular classification system is most suitable and useful in determining cause of death, purporting the lowest percentage of unexplained death. METHODS Cases of stillbirth at gestational age 22-41 weeks occurring at the Department of Gynecology and Obstetrics of Foggia University during a 4 year period were collected. The World Health Organization (WHO) diagnosis of stillbirth was used. All the data collection was based on the recommendations of an Italian diagnostic workup for stillbirth. Two expert obstetricians reviewed all cases and classified causes according to five classification systems. RESULTS Relevant Condition at Death (ReCoDe) and Causes Of Death and Associated Conditions (CODAC) classification systems performed best in retaining information. The ReCoDe system provided the lowest rate of unexplained stillbirth (14%) compared to de Galan-Roosen (16%), CODAC (16%), Tulip (18%), Wigglesworth (62%). CONCLUSION Classification of stillbirth is influenced by the multiplicity of possible causes and factors related to fetal death. Fetal autopsy, placental histology and cytogenetic analysis are strongly recommended to have a complete diagnostic evaluation. Commonly employed classification systems performed differently in our experience, the most satisfactory being the ReCoDe. Given the rate of "unexplained" cases, none can be considered optimal and further efforts are necessary to work out a clinically useful system.
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23
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Leisher SH, Teoh Z, Reinebrant H, Allanson E, Blencowe H, Erwich JJ, Frøen JF, Gardosi J, Gordijn S, Gülmezoglu AM, Heazell AEP, Korteweg F, Lawn J, McClure EM, Pattinson R, Smith GCS, Tunçalp Ӧ, Wojcieszek AM, Flenady V. Classification systems for causes of stillbirth and neonatal death, 2009-2014: an assessment of alignment with characteristics for an effective global system. BMC Pregnancy Childbirth 2016; 16:269. [PMID: 27634615 PMCID: PMC5025539 DOI: 10.1186/s12884-016-1040-7] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2015] [Accepted: 08/11/2016] [Indexed: 11/10/2022] Open
Abstract
Background To reduce the burden of 5.3 million stillbirths and neonatal deaths annually, an understanding of causes of deaths is critical. A systematic review identified 81 systems for classification of causes of stillbirth (SB) and neonatal death (NND) between 2009 and 2014. The large number of systems hampers efforts to understand and prevent these deaths. This study aimed to assess the alignment of current classification systems with expert-identified characteristics for a globally effective classification system. Methods Eighty-one classification systems were assessed for alignment with 17 characteristics previously identified through expert consensus as necessary for an effective global system. Data were extracted independently by two authors. Systems were assessed against each characteristic and weighted and unweighted scores assigned to each. Subgroup analyses were undertaken by system use, setting, type of death included and type of characteristic. Results None of the 81 systems were aligned with more than 9 of the 17 characteristics; most (82 %) were aligned with four or fewer. On average, systems were aligned with 19 % of characteristics. The most aligned system (Frøen 2009-Codac) still had an unweighted score of only 9/17. Alignment with individual characteristics ranged from 0 to 49 %. Alignment was somewhat higher for widely used as compared to less used systems (22 % v 17 %), systems used only in high income countries as compared to only in low and middle income countries (20 % vs 16 %), and systems including both SB and NND (23 %) as compared to NND-only (15 %) and SB-only systems (13 %). Alignment was higher with characteristics assessing structure (23 %) than function (15 %). Conclusions There is an unmet need for a system exhibiting all the characteristics of a globally effective system as defined by experts in the use of systems, as none of the 81 contemporary classification systems assessed was highly aligned with these characteristics. A particular concern in terms of global effectiveness is the lack of alignment with “ease of use” among all systems, including even the most-aligned. A system which meets the needs of users would have the potential to become the first truly globally effective classification system. Electronic supplementary material The online version of this article (doi:10.1186/s12884-016-1040-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Susannah Hopkins Leisher
- Mater Research Institute, The University of Queensland (MRI-UQ), Brisbane, Australia. .,International Stillbirth Alliance, Millburn, USA.
| | - Zheyi Teoh
- Mater Research Institute, The University of Queensland (MRI-UQ), Brisbane, Australia
| | - Hanna Reinebrant
- Mater Research Institute, The University of Queensland (MRI-UQ), Brisbane, Australia.,International Stillbirth Alliance, Millburn, USA
| | - Emma Allanson
- Department of Reproductive Health and Research including UNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP), World Health Organization, Geneva, Switzerland.,School of Women's and Infants' Health, Faculty of Medicine, Dentistry and Health Sciences, University of Western Australia, Perth, Australia
| | | | - Jan Jaap Erwich
- International Stillbirth Alliance, Millburn, USA.,University Medical Center Groningen, The University of Groningen, Groningen, The Netherlands
| | - J Frederik Frøen
- Department of International Public Health, Norwegian Institute of Public Health, Oslo, Norway.,Center for Intervention Science for Maternal and Child Health, University of Bergen, Bergen, Norway
| | | | - Sanne Gordijn
- International Stillbirth Alliance, Millburn, USA.,University Medical Center Groningen, The University of Groningen, Groningen, The Netherlands
| | - A Metin Gülmezoglu
- Department of Reproductive Health and Research including UNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP), World Health Organization, Geneva, Switzerland
| | - Alexander E P Heazell
- International Stillbirth Alliance, Millburn, USA.,Maternal and Fetal Health Research Centre, University of Manchester, Manchester, UK.,St. Mary's Hospital, Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Fleurisca Korteweg
- International Stillbirth Alliance, Millburn, USA.,Department of Obstetrics and Gynaecology, Martini Hospital, Groningen, The Netherlands
| | - Joy Lawn
- London School of Hygiene & Tropical Medicine, London, UK
| | - Elizabeth M McClure
- International Stillbirth Alliance, Millburn, USA.,Research Triangle Institute, North Carolina, USA
| | - Robert Pattinson
- South Africa Medical Research Council Maternal and Infant Health Care Strategies Unit, University of Pretoria, Pretoria, South Africa
| | - Gordon C S Smith
- NIHR Biomedical Research Centre & Department of Obstetrics & Gynaecology, Cambridge University, Cambridge, UK
| | - Ӧzge Tunçalp
- Department of Reproductive Health and Research including UNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP), World Health Organization, Geneva, Switzerland
| | - Aleena M Wojcieszek
- Mater Research Institute, The University of Queensland (MRI-UQ), Brisbane, Australia.,International Stillbirth Alliance, Millburn, USA
| | - Vicki Flenady
- Mater Research Institute, The University of Queensland (MRI-UQ), Brisbane, Australia.,International Stillbirth Alliance, Millburn, USA
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Simeone S, Marchi L, Canarutto R, Pina Rambaldi M, Serena C, Servienti C, Mecacci F. Doppler velocimetry and adverse outcome in labor induction for late IUGR. J Matern Fetal Neonatal Med 2016; 30:323-328. [DOI: 10.3109/14767058.2016.1171839] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Affiliation(s)
- Serena Simeone
- High Risk Pregnancy Unit, Careggi University Hospital,– Florence, Italy and
| | - Laura Marchi
- Fetal Medicine Unit, Careggi University Hospital,– Florence, Italy
| | - Rita Canarutto
- High Risk Pregnancy Unit, Careggi University Hospital,– Florence, Italy and
| | | | - Caterina Serena
- High Risk Pregnancy Unit, Careggi University Hospital,– Florence, Italy and
| | - Cristina Servienti
- High Risk Pregnancy Unit, Careggi University Hospital,– Florence, Italy and
| | - Federico Mecacci
- High Risk Pregnancy Unit, Careggi University Hospital,– Florence, Italy and
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25
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Gardosi J, Giddings S, Clifford S, Wood L, Francis A. Association between reduced stillbirth rates in England and regional uptake of accreditation training in customised fetal growth assessment. BMJ Open 2013; 3:e003942. [PMID: 24345900 PMCID: PMC3884620 DOI: 10.1136/bmjopen-2013-003942] [Citation(s) in RCA: 63] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
OBJECTIVE To assess the effect that accreditation training in fetal growth surveillance and evidence-based protocols had on stillbirth rates in England and Wales. DESIGN Analysis of mortality data from Office of National Statistics. SETTING England and Wales, including three National Health Service (NHS) regions (West Midlands, North East and Yorkshire and the Humber) which between 2008 and 2011 implemented training programmes in customised fetal growth assessment. POPULATION Live births and stillbirths in England and Wales between 2007 and 2012. MAIN OUTCOME MEASURE Stillbirth. RESULTS There was a significant downward trend (p=0.03) in stillbirth rates between 2007 and 2012 in England to 4.81/1000, the lowest rate recorded since adoption of the current stillbirth definition in 1992. This drop was due to downward trends in each of the three English regions with high uptake of accreditation training, and led in turn to the lowest stillbirth rates on record in each of these regions. In contrast, there was no significant change in stillbirth rates in the remaining English regions and Wales, where uptake of training had been low. The three regions responsible for the record drop in national stillbirth rates made up less than a quarter (24.7%) of all births in England. The fall in stillbirth rate was most pronounced in the West Midlands, which had the most intensive training programme, from the preceding average baseline of 5.73/1000 in 2000-2007 to 4.47/1000 in 2012, a 22% drop which is equivalent to 92 fewer deaths a year. Extrapolated to the whole of the UK, this would amount to over 1000 fewer stillbirths each year. CONCLUSIONS A training and accreditation programme in customised fetal growth assessment with evidence-based protocols was associated with a reduction in stillbirths in high-uptake areas and resulted in a national drop in stillbirth rates to their lowest level in 20 years.
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Affiliation(s)
- Jason Gardosi
- Perinatal Institute, Birmingham, UK
- University of Warwick Medical School, Coventry, UK
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26
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Gouyon JB, Ferdynus C, Quantin C. Les courbes de poids fœtales et néonatales et la restriction de croissance intra-utérine. Arch Pediatr 2013; 20:1039-45. [DOI: 10.1016/j.arcped.2013.06.017] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2013] [Accepted: 06/19/2013] [Indexed: 11/26/2022]
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