1. SCVCI.
2. Total volume of spinal drug. (ml)
3. Upper sensory level.
4. Total fluid administered before spinal anaesthesia. (ml)
5. Induction-to-delivery interval (min).
6. Total fluid before delivery of baby or post spinal hypotension
whichever is earlier (ml).
7. Total dose of vasoactive drug administered(mcg/mg).
Statistical Analysis:
Data analysis will include following steps:
• The data will be collected from desired sample population using
standard, pre-validated case record proforma.
• The collected data will be entered using M.S. Excel software.
For the normality check, the Shapiro–Wilk test will be used. The patient
and obstetric characteristics will be presented as mean ± standard
deviation or median (interquartile range), as appropriate, and will be
analyzed by an unpaired Student’s t-test (quantitative data between two
groups), Fisher’s exact probability test, or Pearson’s Chi-Square test
(categorical data), as appropriate.
The SCVCI measured by ultrasound in the supine position, will be
analyzed by multinomial logistic regression analysis to determine if they
are independently associated with the incidence of post-spinal
hypotension. The area under the receiver operating characteristic (ROC)
curves will be used to test the ability of the identified parameters to
predict post-spinal hypotension, and the area under the curve (AUC) will
be calculated. The perioperative hemodynamic parameters will be
assessed by two-way analysis of variance with the Bonferroni post hoc
test. A cut off value for SCVCI variation for the prediction of post spinal
hypotension will be determined using the ROC(Receiver Operator
Characteristic curve) and the relation between the total amount of fluid
administered and SCVCI will be analysed using Pearson’s coefficient
test. The secondary parameters associated with hypotension(like BMI,
Gestational age, Amniotic fluid index[AFI],etc) influencing the
development of hypotension, total dose of vasoactive drugs
administration in case of hypotension, total amount of fluid infused
before delivery etc will be assessed by using logistic regression analysis.
All statistical analyses will be performed using SPSS for Windows,
version 24.0 (SPSS Inc., Chicago, IL, USA). If calculated p-values found
less than 0.05, the difference will be considered as significant.