Literature DB >> 34112965

Clinical risk models for preterm birth less than 28 weeks and less than 32 weeks of gestation using a large retrospective cohort.

Reza Arabi Belaghi1,2, Joseph Beyene3,4, Sarah D McDonald5,6,7,8.   

Abstract

OBJECTIVE: To develop risk prediction models for singleton preterm birth (PTB) < 28 weeks and <32 weeks.
METHODS: Using a retrospective cohort of 267,226 singleton births in Ontario hospitals, we included variables from the first and second trimester in multivariable logistic regression models to predict overall and spontaneous PTB < 28 weeks and <32 weeks.
RESULTS: During the first trimester, the area under the curve (AUC) for prediction of PTB < 28 weeks for nulliparous and multiparous women was 68.5% (95% CI: 63.5-73.6%) and 73.4% (68.6-78.2%), respectively, while for PTB < 32 weeks it was 68.9% (65.5-72.3%) and 75.5% (72.3-78.7%), respectively. AUCs for second-trimester models were 72.4% (95% CI: 69.7-75.1%) and 78.2% (95% CI: 75.8-80.5%), respectively, in nulliparous and multiparous women. Predicted probabilities were well-calibrated within a wide range around expected base prevalence for the study outcomes.
CONCLUSIONS: Our prediction models generated acceptable AUCs for PTB < 28 weeks and <32 weeks with good calibration during the first and second trimester.

Entities:  

Year:  2021        PMID: 34112965     DOI: 10.1038/s41372-021-01109-3

Source DB:  PubMed          Journal:  J Perinatol        ISSN: 0743-8346            Impact factor:   2.521


  32 in total

1.  Data mining methods find demographic predictors of preterm birth.

Authors:  L K Goodwin; M A Iannacchione; W E Hammond; P Crockett; S Maher; K Schlitz
Journal:  Nurs Res       Date:  2001 Nov-Dec       Impact factor: 2.381

2.  Application of machine-learning to predict early spontaneous preterm birth among nulliparous non-Hispanic black and white women.

Authors:  Ann Weber; Gary L Darmstadt; Susan Gruber; Megan E Foeller; Suzan L Carmichael; David K Stevenson; Gary M Shaw
Journal:  Ann Epidemiol       Date:  2018-08-24       Impact factor: 3.797

3.  Counselling and management for anticipated extremely preterm birth.

Authors:  Brigitte Lemyre; Gregory Moore
Journal:  Paediatr Child Health       Date:  2017-08-11       Impact factor: 2.253

4.  Prediction of Spontaneous Preterm Birth Among Nulliparous Women With a Short Cervix.

Authors:  William A Grobman; Yinglei Lai; Jay D Iams; Uma M Reddy; Brian M Mercer; George Saade; Alan T Tita; Dwight J Rouse; Yoram Sorokin; Ronald J Wapner; Kenneth J Leveno; Sean C Blackwell; M Sean Esplin; Jorge E Tolosa; John M Thorp; Steve N Caritis
Journal:  J Ultrasound Med       Date:  2016-05-05       Impact factor: 2.153

5.  Population-based study of infants born at less than 28 weeks' gestation in New South Wales, Australia, in 1992-3. New South Wales Neonatal Intensive Care Unit Study Group.

Authors:  L Sutton; B Bajuk
Journal:  Paediatr Perinat Epidemiol       Date:  1999-07       Impact factor: 3.980

Review 6.  Outcomes for extremely premature infants.

Authors:  Hannah C Glass; Andrew T Costarino; Stephen A Stayer; Claire M Brett; Franklyn Cladis; Peter J Davis
Journal:  Anesth Analg       Date:  2015-06       Impact factor: 5.108

7.  The cost of preterm birth throughout childhood in England and Wales.

Authors:  Lindsay J Mangham; Stavros Petrou; Lex W Doyle; Elizabeth S Draper; Neil Marlow
Journal:  Pediatrics       Date:  2009-02       Impact factor: 7.124

8.  Deep learning predicts extreme preterm birth from electronic health records.

Authors:  Cheng Gao; Sarah Osmundson; Digna R Velez Edwards; Gretchen Purcell Jackson; Bradley A Malin; You Chen
Journal:  J Biomed Inform       Date:  2019-10-31       Impact factor: 6.317

9.  Impact of preterm birth on maternal well-being and women's perceptions of their baby: a population-based survey.

Authors:  Jane Henderson; Claire Carson; Maggie Redshaw
Journal:  BMJ Open       Date:  2016-10-08       Impact factor: 2.692

Review 10.  Early and long-term outcome of infants born extremely preterm.

Authors:  Samantha Johnson; Neil Marlow
Journal:  Arch Dis Child       Date:  2016-08-10       Impact factor: 3.791

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  2 in total

1.  Prediction of low Apgar score at five minutes following labor induction intervention in vaginal deliveries: machine learning approach for imbalanced data at a tertiary hospital in North Tanzania.

Authors:  Clifford Silver Tarimo; Soumitra S Bhuyan; Yizhen Zhao; Weicun Ren; Akram Mohammed; Quanman Li; Marilyn Gardner; Michael Johnson Mahande; Yuhui Wang; Jian Wu
Journal:  BMC Pregnancy Childbirth       Date:  2022-04-01       Impact factor: 3.007

2.  PredictPTB: an interpretable preterm birth prediction model using attention-based recurrent neural networks.

Authors:  Rawan AlSaad; Qutaibah Malluhi; Sabri Boughorbel
Journal:  BioData Min       Date:  2022-02-14       Impact factor: 2.522

  2 in total

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