Affiliation:
1. M.B.B.S, M.D., Department of Anaesthesia , Dr D Y Patil Medical College,Hospital and Research Centre
2. M.B.B.S, Dr D Y Patil Medical College, Hospital and Research Centre, Pimpri, Pune 411018
3. M.B.B.S, M.D., Department of Anaesthesia, Dr D Y Patil Medical College,Hospital and Resaerch Centre
Abstract
Introduction: Accurate assessment of blood loss is a problem in specialities like neurosurgery and orthopaedic surgeries
where large volume of uid is used for irrigating wounds during surgery. Blood loss quantication remains unreliable and
inaccurate and hence the debate between surgeons and anaesthetist pertaining to whether to transfuse or not and on what basis remains a
problem.We studied 2 methods of blood loss calculation based on observation and calculation and compared them with visual blood loss. Aims:
“Comparison of 2 methods of blood loss formula and their comparison based on visual observation by anaesthetist in major surgeries.”
Objectives :(1)Calculation of blood loss based on haematocrit. (2) Calculate blood loss based on haemoglobin (3)Persistence of anaemia based
on lab haemoglobin values in patients pre and post operatively (4) Comparing formula 1 & 2 to nd the appropriate formula for blood loss against
visual loss on gauze and mops and suction. This randomised trial was conducted Materials And Methods: on 85 patients at Dr. D.Y.Patil medical
college ,pune. Since different methods were used we dened 2 units measured blood volume loss which was calculated by the Blood volume loss
formula and measured hemoglobin mass loss calculated by the hemoglobin mass loss formula. The actual blood loss was assessed Result:
visually in terms of number of gauze pieces and mops used. In patients with preoperative hemoglobin less than 12g the mean actual blood loss is
statistically similar to Blood volume loss formula while in patients with preoperative hemoglobin more than 12 the mean actual blood loss is
statistically similar to hemoglobin mass loss formula The mean actual blood loss is statistically si Conclusion: milar to Hemoglobin mass loss in
patients with preoperative hb more than 12 and blood volume loss in patients with preoperative hemoglobin less than 12.
Subject
General Engineering,Applied Mathematics,Computational Theory and Mathematics,Numerical Analysis,Statistics and Probability,Analysis,Information Systems and Management,Information Systems,Management Information Systems,Management of Technology and Innovation,Library and Information Sciences,Organizational Behavior and Human Resource Management,Information Systems,Management Information Systems,Computer Science Applications,Information Systems,Software,Astronomy and Astrophysics,Instrumentation,Library and Information Sciences,Communication,Library and Information Sciences,Library and Information Sciences,Electrical and Electronic Engineering,Hardware and Architecture
Reference13 articles.
1. Bose P, Regan F, Paterson-Brown S. Improving the accuracy of estimated blood loss at obstetric haemorrhage using clinical reconstructions. BJOG. 2006;113(8):919– 24.
2. Kathariya R, Devanoorkar A, Jain H. Intra-operative hemorrhage: A review of literature. J Med Diagn Meth. 2013;2(146).
3. Solon JG, Egan C, McNamara DA. Safe surgery: how accurate are we at predicting intra-op
4. Abbasi S, Khan FA,Adil S, Et all. Comparison of visual estimation of blood loss with serial hemoglobin and hematocrit estimation in supratentorial craniotomy. The International Journal of Anaesthesia. ISSN 1361-8245.Online.URL:https://www.priory.com/anaesthesia/Blood-Loss.html
5. Beattie WS, Karkouti K, Wijeysundera DN, Tait G. Risk associated with preoperative anemia in noncardiac surgery: a single-center cohort study. Anesthesiology 2009; 110:674-581.