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New insights on labor progression: a systematic review.
He, Xiaoqing; Zeng, Xiaojing; Troendle, James; Ahlberg, Maria; Tilden, Ellen L; Souza, João Paulo; Bernitz, Stine; Duan, Tao; Oladapo, Olufemi T; Fraser, William; Zhang, Jun.
Afiliação
  • He X; International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China; Ministry of Education -Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shang
  • Zeng X; Ministry of Education -Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Troendle J; Office of Biostatistics Research, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD.
  • Ahlberg M; Clinical Epidemiology Division, Department of Medicine, Solna, Karolinska Institute, Stockholm, Sweden.
  • Tilden EL; Department of Obstetrics and Gynecology, School of Medicine, Department of Nurse-Midwifery, School of Nursing, Oregon Health & Science University, Portland, OR.
  • Souza JP; Department of Social Medicine, Ribeirão Preto Medical School, University of São Paulo, São Paulo, Brazil.
  • Bernitz S; Department of Obstetrics and Gynaecology, Østfold Hospital Trust, Grålum, Norway; Department of Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, Oslo, Norway.
  • Duan T; Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China.
  • Oladapo OT; United Nations Development Programme/United Nations Population Fund/ United Nations Children's Fund/World Health Organization/World Bank Special Programme of Research, Development and Research Training in Human Reproduction, Department of Reproductive Health and Research, World Health Organization,
  • Fraser W; Department of Obstetrics and Gynecology, Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, Canada.
  • Zhang J; International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China; Ministry of Education -Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shang
Am J Obstet Gynecol ; 228(5S): S1063-S1094, 2023 05.
Article em En | MEDLINE | ID: mdl-37164489
ABSTRACT
The past 20 years witnessed an invigoration of research on labor progression and a change of thinking regarding normal labor. New evidence is emerging, and more advanced statistical methods are applied to labor progression analyses. Given the wide variations in the onset of active labor and the pattern of labor progression, there is an emerging consensus that the definition of abnormal labor may not be related to an idealized or average labor curve. Alternative approaches to guide labor management have been proposed; for example, using an upper limit of a distribution of labor duration to define abnormally slow labor. Nonetheless, the methods of labor assessment are still primitive and subject to error; more objective measures and more advanced instruments are needed to identify the onset of active labor, monitor labor progression, and define when labor duration is associated with maternal/child risk. Cervical dilation alone may be insufficient to define active labor, and incorporating more physical and biochemical measures may improve accuracy of diagnosing active labor onset and progression. Because the association between duration of labor and perinatal outcomes is rather complex and influenced by various underlying and iatrogenic conditions, future research must carefully explore how to integrate statistical cut-points with clinical outcomes to reach a practical definition of labor abnormalities. Finally, research regarding the complex labor process may benefit from new approaches, such as machine learning technologies and artificial intelligence to improve the predictability of successful vaginal delivery with normal perinatal outcomes.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Trabalho de Parto / Distocia Tipo de estudo: Prognostic_studies / Systematic_reviews Limite: Child / Female / Humans / Pregnancy Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Trabalho de Parto / Distocia Tipo de estudo: Prognostic_studies / Systematic_reviews Limite: Child / Female / Humans / Pregnancy Idioma: En Ano de publicação: 2023 Tipo de documento: Article