Abdominal girth, vertebral column length and spread of intrathecal hyperbaric bupivacaine in the term parturient

2017 ◽  
Vol 31 ◽  
pp. 63-67 ◽  
Author(s):  
Chang-na Wei ◽  
Yin-fa Zhang ◽  
Feng Xia ◽  
Li-zhong Wang ◽  
Qing-he Zhou
Keyword(s):  
Vertebral Column ◽  
Column Length ◽  
Hyperbaric Bupivacaine ◽  
Abdominal Girth

scholarly journals The impact of height on the spread of spinal anesthesia and stress response in parturients undergoing caesarean section: a prospective observational study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ying-Jun She ◽  
Wen-Xing Liu ◽  
Ling-Yu Wang ◽  
Xin-Xu Ou ◽  
Hui-Hong Liang ◽  
...  
Keyword(s):  
Stress Response ◽  
Spinal Anesthesia ◽  
Vertebral Column ◽  
Muscle Relaxation ◽  
Body Height ◽  
Abdominal Muscle ◽  
Column Length ◽  
Amniotic Fluid Index ◽  
Abdominal Girth ◽  
The Impact

Abstract Background The spread of spinal anesthesia was influenced by many factors, and the effect of body height on spinal anesthesia is still arguable. This study aimed to explore the impact of height on the spread of spinal anesthesia and the stress response in parturients. Methods A total of ninety-seven parturients were allocated into two groups according to their height: the shorter group (body height was shorter than 158 cm) and taller group (body height was taller than 165 cm). Spinal anesthesia was performed with the same amount of 12 mg plain ropivacaine in mothers of different heights. The primary outcome of the study was the success or failure of the spinal anesthesia. The secondary outcomes of the study were stress response, time to T6 sensory level, the incidence of hypotension, the satisfaction of abdominal muscle relaxation and patient VAS scores. Results The rate of successful spinal anesthesia in the shorter group was significantly higher than that in the taller group (p = 0.02). The increase of maternal cortisol level in the shorter group was lower than that in the taller group at skin closure (p = 0.001). The incidence of hypotension (p = 0.013), time to T6 sensory block (p = 0.005), the quality of abdominal muscle relaxation (p <  0.001), and VAS values in stretching abdominal muscles and uterine exteriorization (p <  0.001) in the shorter group were significantly different from those in the taller group. Multivariate analysis showed that vertebral column length (p <  0.001), abdominal girth (p = 0.022), amniotic fluid index (p = 0.022) were significantly associated with successful spinal anesthesia. Conclusions It’s difficult to use a single factor to predict the spread of spinal anesthesia. Patient’s vertebral column length, amniotic fluid index and abdominal girth were the high determinant factors for predicting the spread of spinal anesthesia. Trials registration ChiCTR-ROC-17012030 (Chictr.org.cn), registered on 18/07/2017.

scholarly journals A Prediction Model using Machine-Learning Algorithm for Assessing Optimal Intrathecal Hyperbaric Bupivacaine Dose during Cesarean Section

2020 ◽  
Author(s):  
Chang-na Wei ◽  
Li-ying Wang ◽  
Xiang-he Zhou ◽  
Qing-he Zhou
Keyword(s):  
Machine Learning ◽  
Cesarean Section ◽  
Learning Algorithm ◽  
Machine Learning Algorithm ◽  
Column Length ◽  
Decision Support Model ◽  
Hyperbaric Bupivacaine ◽  
Abdominal Girth ◽  
Block Level ◽  
Physical Variables

Abstract Background: The optimal intrathecal hyperbaric bupivacaine dosage for cesarean section is difficult to predetermine. The aim of this study was to develop a decision-support model using a machine-learning algorithm for assessing intrathecal hyperbaric bupivacaine dose based on physical variables during cesarean section. Methods: Term parturients presenting for elective cesarean section under spinal anaesthesia were enrolled. Spinal anesthesia was performed at the L3/4 interspace with 0.5% hyperbaric bupivacaine at dosages determined by the anesthesiologist. A spinal spread level between T4-T6 was considered the appropriate block level. We used a machine-learning algorithm to identify relevant parameters. The dataset was split into derivation (80%) and validation (20%) cohorts. An optimal decision-support model was developed for obtaining the regression equation between optimized intrathecal 0.5% hyperbaric bupivacaine volume and physical variables. Results: A total of 684 parturients were included, of whom 516 (75.44%) and 168 (24.56%) had block levels between T4 and T6, and less than T6 or higher than T4, respectively. The appropriate block level rate was 75.44%. In lasso regression, based on the principle of predicting a reasonable dose of intrathecal bupivacaine with fewer physical variables, the optimal model is “Y=0.5922+ 0.055117* X1-0.017599*X2” (Y: bupivacaine volume; X1: vertebral column length; X2: abdominal girth), with λ 0.055, MSE(mean square error) 0.0087, and R2 0.807. Conclusion: After applying a machine-learning algorithm, we developed a decision model with R2 0.8070 and MSE due to error 0.0087 using abdominal girth and vertebral column length for predicting the optimized intrathecal 0.5% hyperbaric bupivacaine dosage during term cesarean sections.

scholarly journals A prediction model using machine-learning algorithm for assessing intrathecal hyperbaric bupivacaine dose during cesarean section

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Chang-na Wei ◽  
Li-ying Wang ◽  
Xiang-yang Chang ◽  
Qing-he Zhou
Keyword(s):  
Machine Learning ◽  
Cesarean Section ◽  
Learning Algorithm ◽  
Machine Learning Algorithm ◽  
Column Length ◽  
Decision Support Model ◽  
Hyperbaric Bupivacaine ◽  
Abdominal Girth ◽  
Block Level ◽  
Physical Variables

Abstract Background The intrathecal hyperbaric bupivacaine dosage for cesarean section is difficult to predetermine. This study aimed to develop a decision-support model using a machine-learning algorithm for assessing intrathecal hyperbaric bupivacaine dose based on physical variables during cesarean section. Methods Term parturients presenting for elective cesarean section under spinal anaesthesia were enrolled. Spinal anesthesia was performed at the L3/4 interspace with 0.5% hyperbaric bupivacaine at dosages determined by the anesthesiologist. A spinal spread level between T4-T6 was considered the appropriate block level. We used a machine-learning algorithm to identify relevant parameters. The dataset was split into derivation (80%) and validation (20%) cohorts. A decision-support model was developed for obtaining the regression equation between optimized intrathecal 0.5% hyperbaric bupivacaine volume and physical variables. Results A total of 684 parturients were included, of whom 516 (75.44%) and 168 (24.56%) had block levels between T4 and T6, and less than T6 or higher than T4, respectively. The appropriate block level rate was 75.44%, with the mean bupivacaine volume [1.965, 95%CI (1.945,1.984)]ml. In lasso regression, based on the principle of predicting a reasonable dose of intrathecal bupivacaine with fewer physical variables, the model is “Y=0.5922+ 0.055117* X1-0.017599*X2” (Y: bupivacaine volume; X1: vertebral column length; X2: abdominal girth), with λ 0.055, MSE 0.0087, and R2 0.807. Conclusions After applying a machine-learning algorithm, we developed a decision model with R2 0.8070 and MSE due to error 0.0087 using abdominal girth and vertebral column length for predicting the optimized intrathecal 0.5% hyperbaric bupivacaine dosage during term cesarean sections.

scholarly journals Developmental morphometry and allometry of spinal cord

2020 ◽  
Vol 1 (1) ◽  
pp. 7-12
Author(s):  
Maya S. ◽  
Sreeranjini A. R. ◽  
Leena C. ◽  
Sunilkumar N.S. ◽  
Irshad A.
Keyword(s):  
Spinal Cord ◽  
Body Weight ◽  
Vertebral Column ◽  
Conus Medullaris ◽  
Entire Length ◽  
Column Length ◽  
Cylindrical Structure ◽  
Vertebral Canal ◽  
Epidural Fat ◽  
Body Parameters

In mammals, the spinal cord forms a long, roughly cylindrical structure with cervical and lumbar enlargements. It is anchored in the vertebral canal, enclosed by meninges. The cord is protected by the epidural fat and terminates as the conus medullaris, which varied in level at different stages of gestation. The weight and length of the cord have a significant correlation in between them and with age, body weight, CRL, and vertebral column length and other body parameters. All cord segments did not correspond to the corresponding vertebrae. Initially, the spinal cord extended the entire length of the vertebral canal. Later it loose its correspondence with vertebral segments as gestation proceeds.

Prenatal growth and estimation of fetal age in the Australian feral goat

1988 ◽  
Vol 39 (4) ◽  
pp. 729 ◽  
Author(s):  
BJ McDonald ◽  
PK O'Rourke ◽  
JA Connell ◽  
WA Hoey
Keyword(s):  
Body Weight ◽  
Vertebral Column ◽  
Prenatal Development ◽  
Capra Hircus ◽  
Column Length ◽  
Third Trimester ◽  
Relative Growth ◽  
Prenatal Growth ◽  
Quadratic Response ◽  
Feral Goat

The prenatal development of the conceptus in the Australian feral goat (Capra hircus) was studied in 47 does containing 89 fetuses of known gestational age. Quantification of the growth of the fetus allowed the development of a number of predictors of fetal age. The effect of age of fetus was highly significant for the variables body weight, crown-rump straight and curved length, vertebral column length, thorax circumference, forelimb length and hindlimb length (P < 0.01). A quadratic response curve using loge of fetal age accounts for most of the variation in the log, of each fetal measurement (R2 = 0.991 to 0.995). The prenatal growth of these fetal parameters was partitioned using the regressions. There was little difference between the relative growth of crown-rump straight and curved length, vertebral column length and the thorax circumference over the trimesters of gestation. Growth of the limbs tended to be greater in the third trimester when compared with the former parameters. As might be expected from work in other species, 79% of the growth in fetal body weight occurred in the last trimester, and this exceeded the relative growth of all other characters during this period. There was marked (P < 0.01) increase in the weight of the empty uterus up to day 95, after which no change occurred.

COMPARISON OF BODY HEIGHT AND VERTEBRAL COLUMN LENGTH IN THE TERM PREGNANT WOMEN

1990 ◽  
Vol 70 (Supplement) ◽  
pp. S55
Author(s):  
B. J. Chen ◽  
W. F. Kwan ◽  
L. Virtusio
Keyword(s):  
Pregnant Women ◽  
Vertebral Column ◽  
Body Height ◽  
Column Length
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