Guidelines for Scientific Decision-Making in Labor and Delivery: Analysis of Biomechanical and Clinical Variables Affecting Conduct of Labor and Delivery
The decision on the mode of delivery is one of the most complex and dynamic assessment processes in obstetrics. In this article, we systematically analyze the scientific mechanisms affecting the success rate of vaginal delivery from three dimensions: biomechanics, clinical variables and uncontrollable factors, and establish a risk prediction model. I. Biomechanical optimization path of vaginal delivery 1. Golden ratio between fetal weight and maternal pelvis Ideal fetal weight should be controlled in the range of 2800-3300 grams (corresponding to a biparietal diameter of 8.5-9.5 cm). The risk of cephalopelvic disproportion (CPD) rises by 12% for every 100 gram increase in weight. For pregnant women of different body types: Dwarf body type (height 150cm³ increases the success rate of vaginal delivery to 85%. 3. Optimization of labor dynamics Efficacy of uterine contractions: contraction pressure should reach 50-60 mmHg, frequency 3-5 times/10 minutes (contraction curve score ≥200 Montevideo units) Abdominal muscle synergy training: daily modified crunches (30° inclination, 10 repetitions per set) from 28 weeks of gestation onwards, to improve the efficiency of intra-abdominal pressure generation by 40% Pelvic floor muscle elasticity remodeling: Kegel exercises combined with biofeedback therapy resulted in class II muscle fiber contraction duration of ≥6 seconds II. Risk stratification management of uncontrollable variables 1. Fetal position dynamic monitoring technology The rate of sustained cephalic position after 35 weeks of gestation is only 78%, of which: Occipital anterior (OA): 92% success rate of natural rotation Occipital Transverse (OT): 65% success rate of hand rotation of the fetal position Occipital Posterior (OP): persistent OP position leads to a 3-fold increased risk of prolongation of the second stage of labor Magnetic resonance diffusion tensor imaging (DTI) can be used to predict the stability of the fetal position up to 6 weeks in advance. 2. Early warning system for umbilical cord mechanical parameters Umbilical cord effective length 7.15 IV. Intelligent support system for modern obstetrics 1. Artificial intelligence prediction…