Influence of reverse Trendelenburg position on aortocaval compression in obese pregnant women

K Saravanakumar, M Hendrie, F Smith, P Danielian

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

Abstract

INTRODUCTION: Obese pregnant women are at risk of aortocaval compression and associated hypotension with neuraxial anaesthesia. We hypothesised that addition of reverse Trendelenburg tilt to the standard practice of pelvic tilt may attenuate aortocaval compression.

METHODS: After ethical approval and consent, six women with a singleton pregnancy and booking body mass index of 30-35kg/m(2) underwent magnetic resonance imaging scanning in six different positions: right lateral decubitus; left lateral decubitus; supine with pelvic tilt; and reverse Trendelenburg positions of 5°, 10° and 15°. Dimensions of the inferior vena cava and abdominal aorta at the L2-3 intervertebral disc level were obtained from axial images using medical imaging software OsiriX™.

RESULTS: Inferior vena cava dimensions were higher in left lateral decubitus position compared to supine with pelvic tilt (P=0.002). Inferior vena cava compression was noted in all participants (59±33%, 95% CI 32 to 86). Addition of 15° reverse Trendelenburg tilt to standard pelvic tilt produced a non-statistically significant increase in inferior vena cava area (10.54±9.91cm(2), 95% CI 2.61 to 18.47, P=0.06).

CONCLUSION: A non-statistically significant improvement of aortocaval compression was noted with the addition of 15° reverse Trendelenburg tilt to the supine with pelvic tilt position in obese pregnant women.

Original languageEnglish
Pages (from-to)15-18
Number of pages4
JournalInternational Journal of Obstetric Anesthesia
Volume26
Early online date1 Oct 2015
DOIs
Publication statusPublished - May 2016

Bibliographical note

The authors wish to acknowledge Dr. Senthilkumar Arcot Raghupathy, Consultant Radiologist, Aberdeen Royal Infirmary and the radiographers for help in data collection, and Mr. Neil Scott, Department of Statistics, University of Aberdeen for statistical support.

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