Development and validation of a predictive model for forceps delivery risk in term singleton primiparas for early identification and labor management optimization - Report - MDSpire
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Development and validation of a predictive model for forceps delivery risk in term singleton primiparas for early identification and labor management optimization
Clinical Report: Predictive Framework for Forceps Delivery in Primiparas
Overview
This study establishes a predictive model for identifying the risk of forceps-assisted delivery in term singleton primiparas.
Background
The rising rates of cesarean deliveries have highlighted the need for effective management of labor, particularly in cases requiring assisted vaginal delivery. Identifying high-risk patients early can facilitate timely interventions.
Data Highlights
Parameter
Value
AUC
0.775 (95% CI: 0.741–0.810)
Optimal cutoff value
0.413
Sensitivity
0.688
Specificity
0.725
Corrected C-index
0.771
Key Findings
Independent risk factors for forceps delivery include BMI ≥ 28 kg/m2, fetal abdominal circumference ≥ 340 mm, grade II or III meconium-stained fluid, non-occipital anterior fetal position, and active phase duration ≥ 120 min.
The predictive model achieved an AUC of 0.775.
The model demonstrated acceptable calibration.
After 500 internal bootstrap validations, the corrected C-index was 0.771.
Clinical Implications
The predictive model assists healthcare providers in identifying high-risk primiparas early in labor.
Conclusion
The proposed predictive model offers a structured approach for early risk stratification of forceps delivery in term singleton primiparas.
The partner in the next room, the hormone in the blister pack, the cat on the couch, the minute-long chair stand. Several new studies suggest the factor shaping outcomes may be the one clinicians aren’t routinely measuring.
