Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
Objective. Ultrasound images based on a multioperator algorithm were used to explore the relationship between hemodynamic parameters of pregnant women and fetuses with abnormal glucose metabolism (AGM) during pregnancy and an adverse pregnancy outcome (APO). In addition, the influencing factors leading to APO were analyzed. Methods. 121 pregnant women with AGM during the third trimester of pregnancy were divided into poor prognosis group (group P, 80 cases) and good prognosis group (group G, 41 cases) according to the pregnancy outcome. Ultrasound technology based on a multioperator algorithm was used to detect the two groups of pregnant women, and the detection indexes were hemodynamic parameters of the fetus and uterus. The correlation between hemodynamic parameters and pregnancy outcome was analyzed by Logistic regression. Results. Compared with group G, the values of MCA-PI and MCA/UA in group P were dramatically decreased, while Ut-A-PI was dramatically increased p < 0.05 . When MCA-PI was less than 1.60, the sensitivity and specificity of MCA-PI for predicting APO reached 92.5% and 90.2%, respectively. The mean age of pregnant women, high-density lipoprotein level, family history of diabetes, and number of exercises during pregnancy in baseline data of group P were dramatically different from that of group G p < 0.05 . Advanced age and high-density lipoprotein level were risk factors for a poor prognosis, while MCA-PI, MCA-RI, and MCA/UA were protective factors for a good prognosis. Conclusion. The results show that color Doppler ultrasound based on the multioperator algorithm can be used to predict APO, and MCA-PI less than 1.60 was the most important predictive index and critical value.
Objective. Ultrasound images based on a multioperator algorithm were used to explore the relationship between hemodynamic parameters of pregnant women and fetuses with abnormal glucose metabolism (AGM) during pregnancy and an adverse pregnancy outcome (APO). In addition, the influencing factors leading to APO were analyzed. Methods. 121 pregnant women with AGM during the third trimester of pregnancy were divided into poor prognosis group (group P, 80 cases) and good prognosis group (group G, 41 cases) according to the pregnancy outcome. Ultrasound technology based on a multioperator algorithm was used to detect the two groups of pregnant women, and the detection indexes were hemodynamic parameters of the fetus and uterus. The correlation between hemodynamic parameters and pregnancy outcome was analyzed by Logistic regression. Results. Compared with group G, the values of MCA-PI and MCA/UA in group P were dramatically decreased, while Ut-A-PI was dramatically increased p < 0.05 . When MCA-PI was less than 1.60, the sensitivity and specificity of MCA-PI for predicting APO reached 92.5% and 90.2%, respectively. The mean age of pregnant women, high-density lipoprotein level, family history of diabetes, and number of exercises during pregnancy in baseline data of group P were dramatically different from that of group G p < 0.05 . Advanced age and high-density lipoprotein level were risk factors for a poor prognosis, while MCA-PI, MCA-RI, and MCA/UA were protective factors for a good prognosis. Conclusion. The results show that color Doppler ultrasound based on the multioperator algorithm can be used to predict APO, and MCA-PI less than 1.60 was the most important predictive index and critical value.
As síndromes hipertensivas gestacionais são as complicações mais frequentes na gestação e uma das principais causa de mortalidade materna, sendo notório conhecer seu perfil epidemiológico. Trata-se de uma revisão integrativa da literatura com o objetivo de identificar e agrupar os fatores associados e de risco das síndromes hipertensivas gestacionais em gestantes brasileiras apresentados na literatura recente. A busca deu-se nas bases de dados SciELO, MEDLINE e LILACS no período de 2018-2023, através dos Descritores em Ciências da Saúde: hipertensão gestacional, pré-eclampsia, toxemia gravídica, eclampsia, hipertensão induzida pela gravidez, síndrome hellp, fatores de risco; prevenção; prevenção de doenças; epidemiologia clínica. Foram identificados 49 artigos e inclusos segundo os critérios apenas 07 deles. Os grupos de fatores de riscos e associados principais para SHGs foram: multiparidade associada com idade avançada e história clínica-obstétrica desfavorável; obesidade e diabetes prévios à gestação; baixa escolaridade, renda baixa e idade média entre 20-30 anos. Conclui-se que é importante melhorar as informações obtidas na história de saúde de gestantes, além de ser necessário criar melhores associações entre os fatores de riscos de agravos maternos para atuação eficaz do serviço preventivo a doenças de alto risco na gestação.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.