Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/7298
Title: Estimating blood loss during cesarean delivery: A comparison of methods
Authors: Gari, Abdulrahim
Hussein, Khulood
Daghestani, Mazin
Aljuhani, Sarah
Bukhari, Mahdya
Alqahtani, Abrar
Almarwani, Miznah
Keywords: Blood loss
Caesarean delivery
Hemoglobin concentration
Obstetrician
Visual estimation
Issue Date: 2022
Publisher: Journal of Taibah University Medical Sciences
Series/Report no.: Original Article;732-736
Abstract: Objectives: Obstetrical hemorrhage contributes significantly to maternal morbidity and mortality. Assessment of blood loss while undergoing cesarean sections (CS) is essential in lowering the morbidity and mortality, however this amount is commonly underestimated by the surgeon and probably the anesthetist too. Methods: This study addresses this issue by comparing three separate ways of assessing blood loss during cesarean sections. For each of 97 full-term pregnant women undergoing elective CS, blood loss was measured by the following: visual estimation by both the obstetrician and the anesthetist, weighing surgical pads pre operatively and post operatively and by calculations (multiplying the difference of pre-operative and postoperative hemoglobin values by the patient’s estimated blood volume). Results: The results of this study indicated that the lowest estimated value for blood loss came from visual estimation, while the highest value came from the mathematical formula. Anesthetists were more accurate in their visual estimation of blood loss than were obstetricians. Conclusion: This study found the amount of blood loss during CS to be overestimated by the mathematical calculation and underestimated by obstetricians. However, the estimate given by anesthetists was close to that obtained by weighing pads. This underscores the need for more accurate methods of blood loss estimation in cesarean sections to be adopted.
URI: http://localhost:8080/xmlui/handle/123456789/7298
ISSN: 1658-3612
Appears in Collections:Vol 17 No 5 (2022)

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