子痫前期:危险因素及未来研究方向综述

IF 2.2 Q3 ENGINEERING, BIOMEDICAL Regenerative Engineering and Translational Medicine Pub Date : 2022-01-01 Epub Date: 2022-05-10 DOI:10.1007/s40883-021-00243-w
Kiara Lee, Lynae Brayboy, Anubhav Tripathi
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We then briefly describe predictive statistical models that have been created to improve screening detection rates, which use a combination of biophysical and biochemical biomarkers, as well as aspects of patient medical history as inputs. Lastly, technologies that aid in advancing pre-eclampsia screening worldwide are explored. The review concludes with suggestions for more robust pre-eclampsia research, which includes diversifying study sites, improving biomarker analytical tools, and for researchers to consider studying patients before they become pregnant to improve pre-eclampsia detection rates. Additionally, researchers must acknowledge the systemic racism involved in using race as a risk factor and include qualitative measures in study designs to capture the effects of racism on patients.</p><p><strong>Lay summary: </strong>Pre-eclampsia is a pregnancy-specific hypertensive disorder that can affect almost every organ system and complicates 2-8% of pregnancies globally. 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Pre-eclampsia: a Scoping Review of Risk Factors and Suggestions for Future Research Direction.

Abstract: Most of maternal deaths are preventable, and one-quarter of maternal deaths are due to pre-eclampsia and eclampsia. Prenatal screening is essential for detecting and managing pre-eclampsia. However, pre-eclampsia screening is solely based on maternal risk factors and has low (< 5% in the USA) detection rates. This review looks at pre-eclampsia from engineering, public health, and medical points of view. First, pre-eclampsia is defined clinically, and the biological basis of established risk factors is described. The multiple theories behind pre-eclampsia etiology should serve as the scientific basis behind established risk factors for pre-eclampsia; however, African American race does not have sufficient evidence as a risk factor. We then briefly describe predictive statistical models that have been created to improve screening detection rates, which use a combination of biophysical and biochemical biomarkers, as well as aspects of patient medical history as inputs. Lastly, technologies that aid in advancing pre-eclampsia screening worldwide are explored. The review concludes with suggestions for more robust pre-eclampsia research, which includes diversifying study sites, improving biomarker analytical tools, and for researchers to consider studying patients before they become pregnant to improve pre-eclampsia detection rates. Additionally, researchers must acknowledge the systemic racism involved in using race as a risk factor and include qualitative measures in study designs to capture the effects of racism on patients.

Lay summary: Pre-eclampsia is a pregnancy-specific hypertensive disorder that can affect almost every organ system and complicates 2-8% of pregnancies globally. Here, we focus on the biological basis of the risk factors that have been identified for the condition. African American race currently does not have sufficient evidence as a risk factor and has been poorly studied. Current clinical methods poorly predict a patient's likelihood of developing pre-eclampsia; thus, researchers have made statistical models that are briefly described in this review. Then, low-cost technologies that aid in advancing pre-eclampsia screening are discussed. The review ends with suggestions for research direction to improve pre-eclampsia screening in all settings.Overall, we suggest that the future of pre-eclampsia screening should aim to identify those at risk before they become pregnant. We also suggest that the clinical standard of assessing patient risk solely on patient characteristics needs to be reevaluated, that study locations of pre-eclampsia research need to be expanded beyond a few high-income countries, and that low-cost technologies should be developed to increase access to prenatal screening.

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来源期刊
CiteScore
4.90
自引率
11.50%
发文量
41
期刊介绍: Regenerative Engineering is an international journal covering convergence of the disciplines of tissue engineering, advanced materials science, stem cell research, the physical sciences, and areas of developmental biology. This convergence brings exciting opportunities to translate bench-top research into bedside methods, allowing the possibility of moving beyond maintaining or repairing tissues to regenerating them. The journal encourages both top-down engineering approaches and bottom-up strategies integrating materials science with stem cell research and developmental biology. Convergence papers on instructive biomaterials, stimuli-responsive biomaterials, micro- and nano-patterning for regenerative engineering, elastomeric biomaterials, hydrogels for tissue engineering, and rapid prototyping and bioprinting approaches are particularly welcome. The journal provides a premier, single-blind peer-reviewed forum for the publication of original papers, authoritative reviews, rapid communications, news and views, and opinion papers addressing the most important issues and efforts toward successfully regenerating complex human tissues and organs. All research articles feature a lay abstract highlighting the relevance and future impact for patients, government and other health officials, and members of the general public. Bridging the gap between the lab and the clinic, the journal also serves as a dedicated platform for showcasing translational research that brings basic scientific research and discoveries into clinical methods and therapies, contributing to the improvement of human health care. Topics covered in Regenerative Engineering and Translational Medicine include: Advanced materials science for regenerative and biomedical applicationsStem cells for tissue regenerationDrug delivery for tissue regenerationNanomaterials and nanobiotechnology for tissue regenerationStudies combining tissue engineering/regeneration with developmental biologyConvergence research in pre-clinical and clinical phases
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