Back

A clinical decision making model for NTSV deliveries

Crabtree, L.; Frasch, M. G.; Gheorghe, C. P.

2026-03-02 obstetrics and gynecology
10.64898/2026.02.24.26346894 medRxiv
Show abstract

ObjectiveTo evaluate modifiable antepartum and intrapartum factors associated with nulliparous, term, singleton, vertex (NTSV) cesarean delivery and to model risk stratified induction timing strategies that minimize cesarean risk across maternal risk profiles. Study DesignThis retrospective cohort study included all NTSV deliveries at a tertiary care center from January 2015 through August 2025 (overall cohort n=10,525; limited risk cohort n=5,663). Machine learning identified key predictors of cesarean delivery, with maternal age and pre pregnancy body mass index (BMI) used to define low, moderate, and high risk strata. Logistic regression estimated the association between induction and cesarean delivery, and a Monte Carlo simulation compared elective induction at 39, 40, or 41 weeks versus expectant management to 42 weeks within each stratum. ResultsCesarean delivery occurred in 20.1% of the overall cohort and 19.0% of the limited risk cohort, with a U shaped relationship between gestational age and cesarean risk and lowest rates at 38-39 weeks. Induction was associated with higher cesarean rates than spontaneous labor in both cohorts (overall: 24.1% vs. 17.1%; limited risk: 22.9% vs. 15.7%) after adjustment for age, BMI, and gestational age. No single induction policy minimized cesarean risk across all strata. For high risk patients (age >=35 years and BMI >=35), induction at 39 weeks yielded the lowest modeled cesarean rate, whereas later delivery (40 to 41 weeks or expectant management to 41 weeks) was favored for low and moderate risk patients. A universal 39 week induction policy for low and moderate risk strata modestly increased modeled cesarean rates, adding an estimated 46 cesarean deliveries. ConclusionGestational age at delivery and induction strategy are key modifiable determinants of NTSV cesarean delivery, but optimal timing varies by maternal age and BMI risk profile, supporting risk stratified rather than universal 39 week induction policies.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
BMC Pregnancy and Childbirth
20 papers in training set
Top 0.1%
12.5%
2
JAMA Network Open
127 papers in training set
Top 0.1%
12.3%
3
PLOS ONE
4510 papers in training set
Top 19%
10.1%
4
PLOS Medicine
98 papers in training set
Top 0.3%
8.4%
5
Journal of the American Medical Informatics Association
61 papers in training set
Top 0.3%
8.4%
50% of probability mass above
6
Nature Communications
4913 papers in training set
Top 29%
6.3%
7
Scientific Reports
3102 papers in training set
Top 31%
4.0%
8
BMJ Open
554 papers in training set
Top 6%
3.6%
9
The Lancet Digital Health
25 papers in training set
Top 0.3%
2.1%
10
Human Reproduction
18 papers in training set
Top 0.2%
2.1%
11
Journal of Medical Economics
10 papers in training set
Top 0.1%
1.9%
12
Journal of the American Heart Association
119 papers in training set
Top 3%
1.8%
13
BMJ
49 papers in training set
Top 0.6%
1.7%
14
Frontiers in Public Health
140 papers in training set
Top 5%
1.7%
15
Journal of Clinical Pathology
12 papers in training set
Top 0.2%
1.5%
16
Clinical Infectious Diseases
231 papers in training set
Top 3%
1.2%
17
BMC Medicine
163 papers in training set
Top 5%
1.1%
18
Journal of Biomedical Informatics
45 papers in training set
Top 1%
1.1%
19
Pain
70 papers in training set
Top 0.7%
0.9%
20
npj Digital Medicine
97 papers in training set
Top 3%
0.9%
21
American Journal of Psychiatry
20 papers in training set
Top 0.3%
0.9%
22
Journal of Clinical Medicine
91 papers in training set
Top 5%
0.9%
23
Healthcare
16 papers in training set
Top 2%
0.7%
24
BMJ Open Quality
15 papers in training set
Top 0.8%
0.7%
25
BMC Medical Education
20 papers in training set
Top 0.9%
0.7%
26
JAMIA Open
37 papers in training set
Top 2%
0.7%
27
BMC Biology
248 papers in training set
Top 5%
0.7%
28
The Journal of Clinical Endocrinology & Metabolism
35 papers in training set
Top 1%
0.7%
29
PeerJ
261 papers in training set
Top 16%
0.7%