Establishment of Dose Prediction Model of Dexmedetomidine in Labor Analgesia with Regular Intermittent Epidural Injection of Ropivacaine
Objective To establish a model for predicting the dose of dexmedetomidine in labor analgesia with regular intermittent epidural injection of ropivacaine.Methods 120 primiparas who were delivered by PCEA in our hospital from December 2020 to May 2022 were selected as study subjects.According to the principle of single-blind randomization,they were divided into D group ( artificial neural network model group ),A group ( univariate linear regression equation model group ),and M group ( multivariate linear regression equation model group ),with 40 cases in each group.The general data,pain VAS score,body temperature,newborn condition,use of analgesic drugs,analgesic effect,delivery mode,and maternal satisfaction of the three groups were compared and analyzed.Kaplan-Meier method was used to draw the survival curve.Results The visual analogue scale ( VAS ) of pain at T1 and the onset time of analgesia in D group were significantly lower than those in A and M groups ( P<0.05 ),and the duration of analgesia was notably higher than those in A and M groups ( P<0.05 ) .The PCEA pressing times and pain VAS score in D group at T2,compared with M group,showed no significant difference ( P>0.05 ),but were significantly lower than those in A group ( P<0.05 ) .The dosage of dexmedetomidine in M group was significantly lower than that in A group and D group ( P<0.05 ) .The results of the survival curve demonstrated notable differences in the total labor process time among the three groups ( P<0.05 );there was no notable difference between A group,D group,and M group ( P>0.05 );however,there was a notable difference in the total labor process time between D group and A group ( P<0.05 ) .The proportion of women with excellent satisfaction in D group was the highest,and those without poor satisfaction were none,but there was no notable difference among the three groups ( P>0.05 ) .Conclusion The effectiveness and satisfaction of dexmedetomidine dose calculated by multiple linear regression equation model and artificial neural network model in labor pains with regular intermittent epidural injection of ropivacaine were better than those of the univariate linear regression equation with VAS score as the main reference index,and the artificial neural network model was the best.This indicates that the dose prediction model of dexmedetomidine has certain clinical application value.
DeliveryAnalgesiaRopivacaineDexmedetomidinePatient-Controlled Epidural AnalgesiaPrediction Model