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Dive into the research topics where Sanne J. Gordijn is active.

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Featured researches published by Sanne J. Gordijn.


Archives of Pathology & Laboratory Medicine | 2016

Sampling and Definitions of Placental Lesions: Amsterdam Placental Workshop Group Consensus Statement

T. Yee Khong; Eoghan Mooney; Ilana Ariel; Nathalie C.M. Balmus; Theonia K. Boyd; Marie Anne Brundler; Hayley Derricott; Margaret J. Evans; Ona Faye-Petersen; John Gillan; Alex E.P. Heazell; Debra S. Heller; Suzanne M. Jacques; Sarah Keating; Peter Kelehan; Ann Maes; Eileen McKay; Terry K. Morgan; Peter G. J. Nikkels; W. Tony Parks; Raymond W. Redline; Irene Scheimberg; Mirthe H. Schoots; Nj Sebire; Albert Timmer; Gitta Turowski; J. Patrick van der Voorn; Ineke Van Lijnschoten; Sanne J. Gordijn

CONTEXT -The value of placental examination in investigations of adverse pregnancy outcomes may be compromised by sampling and definition differences between laboratories. OBJECTIVE -To establish an agreed-upon protocol for sampling the placenta, and for diagnostic criteria for placental lesions. Recommendations would cover reporting placentas in tertiary centers as well as in community hospitals and district general hospitals, and are also relevant to the scientific research community. DATA SOURCES -Areas of controversy or uncertainty were explored prior to a 1-day meeting where placental and perinatal pathologists, and maternal-fetal medicine specialists discussed available evidence and subsequently reached consensus where possible. CONCLUSIONS -The group agreed on sets of uniform sampling criteria, placental gross descriptors, pathologic terminologies, and diagnostic criteria. The terminology and microscopic descriptions for maternal vascular malperfusion, fetal vascular malperfusion, delayed villous maturation, patterns of ascending intrauterine infection, and villitis of unknown etiology were agreed upon. Topics requiring further discussion were highlighted. Ongoing developments in our understanding of the pathology of the placenta, scientific bases of the maternofetoplacental triad, and evolution of the clinical significance of defined lesions may necessitate further refinements of these consensus guidelines. The proposed structure will assist in international comparability of clinicopathologic and scientific studies and assist in refining the significance of lesions associated with adverse pregnancy and later health outcomes.


British Journal of Obstetrics and Gynaecology | 2006

The Tulip classification of perinatal mortality: introduction and multidisciplinary inter-rater agreement

Fleurisca J. Korteweg; Sanne J. Gordijn; Albertus Timmer; Johannes Erwich; Klasina Bergman; Katelijne Bouman; Joke M. Ravise; M. P. Heringa; Jozien P. Holm

Objective  To introduce the pathophysiological Tulip classification system for underlying cause and mechanism of perinatal mortality based on clinical and pathological findings for the purpose of counselling and prevention.


BMC Pregnancy and Childbirth | 2009

Causes of death and associated conditions (Codac) – a utilitarian approach to the classification of perinatal deaths

J Frederik Frøen; Halit Pinar; Vicki Flenady; Safiah Bahrin; Adrian Charles; Lawrence Chauke; Katie Day; Charles W Duke; Fabio Facchinetti; Ruth C. Fretts; Glenn Gardener; Kristen Gilshenan; Sanne J. Gordijn; Adrienne Gordon; Grace Guyon; Catherine Harrison; Rachel Koshy; Robert Clive Pattinson; Karin Petersson; Laurie Russell; Eli Saastad; Gordon C. S. Smith; Rozbeh Torabi

A carefully classified dataset of perinatal mortality will retain the most significant information on the causes of death. Such information is needed for health care policy development, surveillance and international comparisons, clinical services and research. For comparability purposes, we propose a classification system that could serve all these needs, and be applicable in both developing and developed countries. It is developed to adhere to basic concepts of underlying cause in the International Classification of Diseases (ICD), although gaps in ICD prevent classification of perinatal deaths solely on existing ICD codes.We tested the Causes of Death and Associated Conditions (Codac) classification for perinatal deaths in seven populations, including two developing country settings. We identified areas of potential improvements in the ability to retain existing information, ease of use and inter-rater agreement. After revisions to address these issues we propose Version II of Codac with detailed coding instructions.The ten main categories of Codac consist of three key contributors to global perinatal mortality (intrapartum events, infections and congenital anomalies), two crucial aspects of perinatal mortality (unknown causes of death and termination of pregnancy), a clear distinction of conditions relevant only to the neonatal period and the remaining conditions are arranged in the four anatomical compartments (fetal, cord, placental and maternal).For more detail there are 94 subcategories, further specified in 577 categories in the full version. Codac is designed to accommodate both the main cause of death as well as two associated conditions. We suggest reporting not only the main cause of death, but also the associated relevant conditions so that scenarios of combined conditions and events are captured.The appropriately applied Codac system promises to better manage information on causes of perinatal deaths, the conditions associated with them, and the most common clinical scenarios for future study and comparisons.


BMC Pregnancy and Childbirth | 2009

Making stillbirths count, making numbers talk - Issues in data collection for stillbirths

J Frederik Frøen; Sanne J. Gordijn; Hany Abdel-Aleem; Per Bergsjø; Ana Pilar Betrán; Charles W Duke; Vincent Fauveau; Vicki Flenady; Sven Gudmund Hinderaker; G Justus Hofmeyr; Abdul Hakeem Jokhio; Joy E Lawn; Pisake Lumbiganon; Mario Merialdi; Robert Clive Pattinson; Anuraj H. Shankar

BackgroundStillbirths need to count. They constitute the majority of the worlds perinatal deaths and yet, they are largely invisible. Simply counting stillbirths is only the first step in analysis and prevention. From a public health perspective, there is a need for information on timing and circumstances of death, associated conditions and underlying causes, and availability and quality of care. This information will guide efforts to prevent stillbirths and improve quality of care.DiscussionIn this report, we assess how different definitions and limits in registration affect data capture, and we discuss the specific challenges of stillbirth registration, with emphasis on implementation. We identify what data need to be captured, we suggest a dataset to cover core needs in registration and analysis of the different categories of stillbirths with causes and quality indicators, and we illustrate the experience in stillbirth registration from different cultural settings. Finally, we point out gaps that need attention in the International Classification of Diseases and review the qualities of alternative systems that have been tested in low- and middle-income settings.SummaryObtaining high-quality data will require consistent definitions for stillbirths, systematic population-based registration, better tools for surveys and verbal autopsies, capacity building and training in procedures to identify causes of death, locally adapted quality indicators, improved classification systems, and effective registration and reporting systems.


Ultrasound in Obstetrics & Gynecology | 2016

Consensus definition of fetal growth restriction: a Delphi procedure

Sanne J. Gordijn; Irene Beune; B. Thilaganathan; A. T. Papageorghiou; A. A. Baschat; P. N. Baker; Robert M. Silver; Klaske Wynia; Wessel Ganzevoort

To determine, by expert consensus, a definition for early and late fetal growth restriction (FGR) through a Delphi procedure.


BMC Pregnancy and Childbirth | 2016

Seeking order amidst chaos: A systematic review of classification systems for causes of stillbirth and neonatal death, 2009-2014

Susannah Hopkins Leisher; Zheyi Teoh; Hanna E. Reinebrant; Emma Allanson; Hannah Blencowe; Jan Jaap Erwich; J Frederik Frøen; Jason Gardosi; Sanne J. Gordijn; A Metin Gülmezoglu; Alexander Heazell; Fleurisca J. Korteweg; Joy E Lawn; Elizabeth M. McClure; Robert Clive Pattinson; Gordon C. S. Smith; Ӧ Tunçalp; Aleena M Wojcieszek; Vicki Flenady

BackgroundEach year, about 5.3 million babies die in the perinatal period. Understanding of causes of death is critical for prevention, yet there is no globally acceptable classification system. Instead, many disparate systems have been developed and used. We aimed to identify all systems used or created between 2009 and 2014, with their key features, including extent of alignment with the International Classification of Diseases (ICD) and variation in features by region, to inform the World Health Organization’s development of a new global approach to classifying perinatal deaths.MethodsA systematic literature review (CINAHL, EMBASE, Medline, Global Health, and PubMed) identified published and unpublished studies and national reports describing new classification systems or modifications of existing systems for causes of perinatal death, or that used or tested such systems, between 2009 and 2014. Studies reporting ICD use only were excluded. Data were independently double-extracted (except from non-English publications). Subgroup analyses explored variation by extent and region.ResultsEighty-one systems were identified as new, modifications of existing systems, or having been used between 2009 and 2014, with an average of ten systems created/modified each year. Systems had widely varying characteristics: (i) comprehensiveness (40 systems classified both stillbirths and neonatal deaths); (ii) extent of use (systems were created in 28 countries and used in 40; 17 were created for national use; 27 were widely used); (iii) accessibility (three systems available in e-format); (iv) underlying cause of death (64 systems required a single cause of death); (v) reliability (10 systems tested for reliability, with overall Kappa scores ranging from .35–.93); and (vi) ICD alignment (17 systems used ICD codes). Regional databases were not searched, so system numbers may be underestimated. Some non-differential misclassification of systems was possible.ConclusionsThe plethora of systems in use, and continuing system development, hamper international efforts to improve understanding of causes of death. Recognition of the features of currently used systems, combined with a better understanding of the drivers of continued system creation, may help the development of a truly effective global system.


BMC Pregnancy and Childbirth | 2016

Characteristics of a global classification system for perinatal deaths: a Delphi consensus study

Aleena M Wojcieszek; Hanna E. Reinebrant; Susannah Hopkins Leisher; Emma Allanson; Michael Coory; Jan Jaap Erwich; J Frederik Frøen; Jason Gardosi; Sanne J. Gordijn; Metin Gülmezoglu; Alexander Heazell; Fleurisca J. Korteweg; Elizabeth M. McClure; Robert Clive Pattinson; Robert M. Silver; Gordon C. S. Smith; Zheyi Teoh; Özge Tunçalp; Vicki Flenady

BackgroundDespite the global burden of perinatal deaths, there is currently no single, globally-acceptable classification system for perinatal deaths. Instead, multiple, disparate systems are in use world-wide. This inconsistency hinders accurate estimates of causes of death and impedes effective prevention strategies. The World Health Organisation (WHO) is developing a globally-acceptable classification approach for perinatal deaths. To inform this work, we sought to establish a consensus on the important characteristics of such a system.MethodsA group of international experts in the classification of perinatal deaths were identified and invited to join an expert panel to develop a list of important characteristics of a quality global classification system for perinatal death. A Delphi consensus methodology was used to reach agreement. Three rounds of consultation were undertaken using a purpose built on-line survey. Round one sought suggested characteristics for subsequent scoring and selection in rounds two and three.ResultsThe panel of experts agreed on a total of 17 important characteristics for a globally-acceptable perinatal death classification system. Of these, 10 relate to the structural design of the system and 7 relate to the functional aspects and use of the system.ConclusionThis study serves as formative work towards the development of a globally-acceptable approach for the classification of the causes of perinatal deaths. The list of functional and structural characteristics identified should be taken into consideration when designing and developing such a system.


Seminars in Fetal & Neonatal Medicine | 2017

Classification of causes and associated conditions for stillbirths and neonatal deaths

Vicki Flenady; Aleena M Wojcieszek; David Ellwood; Susannah Hopkins Leisher; Jan Jaap Erwich; Elizabeth S. Draper; Elizabeth M. McClure; Hanna E. Reinebrant; Jeremy Oats; Lesley McCowan; Alison L. Kent; Glenn Gardener; Adrienne Gordon; David Tudehope; Dimitrios Siassakos; Claire Storey; Jane Zuccollo; Jane E. Dahlstrom; Katherine J. Gold; Sanne J. Gordijn; Karin Pettersson; Vicki Masson; Robert Clive Pattinson; Jason Gardosi; T. Yee Khong; J Frederik Frøen; Robert M. Silver

Accurate and consistent classification of causes and associated conditions for perinatal deaths is essential to inform strategies to reduce the five million which occur globally each year. With the majority of deaths occurring in low- and middle-income countries (LMICs), their needs must be prioritised. The aim of this paper is to review the classification of perinatal death, the contemporary classification systems including the World Health Organizations International Classification of Diseases - Perinatal Mortality (ICD-PM), and next steps. During the period from 2009 to 2014, a total of 81 new or modified classification systems were identified with the majority developed in high-income countries (HICs). Structure, definitions and rules and therefore data on causes vary widely and implementation is suboptimal. Whereas system testing is limited, none appears ideal. Several systems result in a high proportion of unexplained stillbirths, prompting HICs to use more detailed systems that require data unavailable in low-income countries. Some systems appear to perform well across these different settings. ICD-PM addresses some shortcomings of ICD-10 for perinatal deaths, but important limitations remain, especially for stillbirths. A global approach to classification is needed and seems feasible. The new ICD-PM system is an important step forward and improvements will be enhanced by wide-scale use and evaluation. Implementation requires national-level support and dedicated resources. Future research should focus on implementation strategies and evaluation methods, defining placental pathologies, and ways to engage parents in the process.


Ultrasound in Obstetrics & Gynecology | 2016

Consensus definition for placental fetal growth restriction: a Delphi procedure

Sanne J. Gordijn; Irene Beune; B. Thilaganathan; A.T. Papageorghiou; A. A. Baschat; P. N. Baker; Robert M. Silver; Klaske Wynia; Wessel Ganzevoort

To determine, by expert consensus, a definition for early and late fetal growth restriction (FGR) through a Delphi procedure.


British Journal of Obstetrics and Gynaecology | 2018

Making stillbirths visible: a systematic review of globally reported causes of stillbirth

Hanna E. Reinebrant; Susannah Hopkins Leisher; Michael Coory; S. Henry; Aleena M Wojcieszek; Glenn Gardener; Rohan Lourie; David Ellwood; Z. Teoh; Emma Allanson; Hannah Blencowe; Elizabeth S. Draper; Johannes Erwich; J. F. Froen; Jason Gardosi; Katherine J. Gold; Sanne J. Gordijn; Adrienne Gordon; Alexander Heazell; T. Y. Khong; Fleurisca J. Korteweg; Joy E Lawn; Elizabeth M. McClure; Jeremy Oats; Robert Clive Pattinson; Karin Pettersson; Dimitrios Siassakos; Robert M. Silver; Gcs Smith; Özge Tunçalp

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.

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Irene Beune

University Medical Center Groningen

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Jan Jaap Erwich

University Medical Center Groningen

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Klaske Wynia

University Medical Center Groningen

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Sicco A. Scherjon

University Medical Center Groningen

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Vicki Flenady

University of Queensland

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J Frederik Frøen

Norwegian Institute of Public Health

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