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A Model to Predict Vaginal Delivery and Maternal and Neonatal Morbidity in Low-Risk Nulliparous Patients at Term.
Costantine, Maged M; Sandoval, Grecio; Grobman, William A; Bailit, Jennifer L; Reddy, Uma M; Wapner, Ronald J; Varner, Michael W; Thorp, John M; Caritis, Steve N; Prasad, Mona; Tita, Alan T N; Sorokin, Yoram; Rouse, Dwight J; Blackwell, Sean C; Tolosa, Jorge E.
Afiliación
  • Costantine MM; Departments of Obstetrics and Gynecology of University of Texas Medical Branch, Galveston, Texas.
  • Sandoval G; The George Washington University Biostatistics Center, Washington, Dist. of Columbia.
  • Grobman WA; Department of Obstetrics and Gynecology, Northwestern University, Chicago, Illinois.
  • Bailit JL; Department of Obstetrics and Gynecology, MetroHealth Medical Center-Case Western Reserve University, Cleveland, Ohio.
  • Reddy UM; Department of Obstetrics and Gynecology, The Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland.
  • Wapner RJ; Department of Obstetrics and Gynecology, Columbia University, New York, New York.
  • Varner MW; Department of Obstetrics and Gynecology, University of Utah Health Sciences Center, Salt Lake City, Utah.
  • Thorp JM; Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
  • Caritis SN; Department of Obstetrics and Gynecology, University of Pittsburgh, Pittsburgh, Pennsylvania.
  • Prasad M; Department of Obstetrics and Gynecology, The Ohio State University, Columbus, Ohio.
  • Tita ATN; Department of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, Alabama.
  • Sorokin Y; Department of Obstetrics and Gynecology, Wayne State University, Detroit, Michigan.
  • Rouse DJ; Department of Obstetrics and Gynecology, Brown University, Providence, Rhode Island.
  • Blackwell SC; Department of Obstetrics and Gynecology, The University of Texas Health Science Center at Houston, McGovern Medical School-Children's Memorial Hermann Hospital, Houston, Texas.
  • Tolosa JE; Department of Obstetrics and Gynecology, Oregon Health and Science University, Portland, Oregon.
Am J Perinatol ; 39(7): 786-796, 2022 05.
Article en En | MEDLINE | ID: mdl-33075842
ABSTRACT

OBJECTIVE:

This study aimed to develop and validate a model to predict the probability of vaginal delivery (VD) in low-risk term nulliparous patients, and to determine whether it can predict the risk of severe maternal and neonatal morbidity.

METHODS:

Secondary analysis of an obstetric cohort of patients and their neonates born in 25 hospitals across the United States (n = 115,502). Trained and certified research personnel abstracted the maternal and neonatal records. Nulliparous patients with singleton, nonanomalous vertex fetuses, admitted with an intent for VD ≥ 37 weeks were included in this analysis. Patients in active labor (cervical exam > 5 cm), those with prior cesarean and other comorbidities were excluded. Eligible patients were randomly divided into a training and test sets. Based on the training set, and using factors available at the time of admission for delivery, we developed and validated a logistic regression model to predict the probability of VD, and then estimated the prevalences of severe morbidity according to the predicted probability of VD.

RESULTS:

A total of 19,611 patients were included. Based on the training set (n = 9,739), a logistic regression model was developed that included maternal age, body mass index (BMI), cervical dilatation, and gestational age on admission. The model was internally validated on the test set (n = 9,872 patients) and yielded a receiver operating characteristic-area under the curve (ROC-AUC) of 0.71 (95% confidence interval [CI] 0.70-0.72). Based on a subset of 18,803 patients with calculated predicted probabilities, we demonstrated that the prevalences of severe morbidity decreased as the predicted probability of VD increased (p < 0.01).

CONCLUSION:

In a large cohort of low-risk nulliparous patients in early labor or undergoing induction of labor, at term with singleton gestations, we developed and validated a model to calculate the probability of VD, and maternal and neonatal morbidity. If externally validated, this calculator may be clinically useful in helping to direct level of care, staffing, and adjustment for case-mix among various systems. KEY POINTS · A model to predict the probability of vaginal delivery in low-risk nulliparous patients at term.. · The model also predicts the risk of severe maternal and neonatal morbidity.. · The prevalences of severe morbidity decrease as the probability of vaginal delivery increases..
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Trabajo de Parto / Parto Obstétrico Tipo de estudio: Clinical_trials / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Newborn / Pregnancy País/Región como asunto: America do norte Idioma: En Revista: Am J Perinatol Año: 2022 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Trabajo de Parto / Parto Obstétrico Tipo de estudio: Clinical_trials / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Newborn / Pregnancy País/Región como asunto: America do norte Idioma: En Revista: Am J Perinatol Año: 2022 Tipo del documento: Article