Literature DB >> 33236277

Techniques for blood loss estimation in major non-cardiac surgery: a systematic review and meta-analysis.

Alexandre Tran1, Jordan Heuser1, Timothy Ramsay2, Daniel I McIsaac2,3, Guillaume Martel4,5.   

Abstract

PURPOSE: Estimated blood loss (EBL) is an important tool in clinical decision-making and surgical outcomes research. It guides perioperative transfusion practice and serves as a key predictor of short-term perioperative risks and long-term oncologic outcomes. Despite its widespread clinical and research use, there is no gold standard for blood loss estimation. We sought to systematically review and compare techniques for intraoperative blood loss estimation in major non-cardiac surgery with the objective of informing clinical estimation and research standards. SOURCE: A structured search strategy was applied to Ovid Medline, Embase, and Cochrane Library databases from inception to March 2020, to identify studies comparing methods of intraoperative blood loss in adult patients undergoing major non-cardiac surgery. We summarized agreement between groups of pairwise comparisons as visual estimation vs formula estimation, visual estimation vs other, and formula estimation vs other. For each of these comparisons, we described tendencies for higher or lower EBL values, consistency of findings, pooled mean differences, standard deviations, and confidence intervals. PRINCIPLE
FINDINGS: We included 26 studies involving 3,297 patients in this review. We found that visual estimation is the most frequently studied technique. In addition, visual techniques tended to provide lower EBL values than formula-based estimation or other techniques, though this effect was not statistically significant in pooled analyses likely due to sample size limitations. When accounting for the contextual mean blood loss, similar case-to-case variation exists for all estimation techniques.
CONCLUSIONS: We found that significant case-by-case variation exists for all methods of blood loss evaluation and that there is significant disagreement between techniques. Given the importance placed on EBL, particularly for perioperative prognostication models, clinicians should consider the universal adoption of a practical and reproducible method for blood loss evaluation. TRIAL REGISTRATION: PROSPERO (CRD42015029439); registered: 18 November 2015.PROSPERO (CRD42015029439); registered: 18 November 2015.

Entities:  

Keywords:  blood loss; estimation; surgery

Mesh:

Year:  2020        PMID: 33236277     DOI: 10.1007/s12630-020-01857-4

Source DB:  PubMed          Journal:  Can J Anaesth        ISSN: 0832-610X            Impact factor:   5.063


  7 in total

1.  Blood loss in operations; a statistical comparison of losses as determined by the gravimetric and colorimetric methods.

Authors:  I D BARONOFSKY; A E TRELOAR; O H WANGENSTEEN
Journal:  Surgery       Date:  1946-12       Impact factor: 3.982

2.  Prediction of blood volume in normal human adults.

Authors:  Samuel B Nadler; John H Hidalgo; Ted Bloch
Journal:  Surgery       Date:  1962-02       Impact factor: 3.982

3.  Blood-volume measurements before and after operation and determination of operative blood loss.

Authors:  J Brockner; H J Ladegaard-Pedersen; H C Engell; M Donvig
Journal:  Acta Anaesthesiol Scand       Date:  1969       Impact factor: 2.105

Review 4.  Systematic reviews of diagnostic tests in cancer: review of methods and reporting.

Authors:  Susan Mallett; Jonathan J Deeks; Steve Halligan; Sally Hopewell; Victoria Cornelius; Douglas G Altman
Journal:  BMJ       Date:  2006-07-18

5.  Surgeons often underestimate the amount of blood loss in replacement surgeries.

Authors:  Ganesan-Ganesan Ram; Perumal Suresh; Phagal-Varthi Vijayaraghavan
Journal:  Chin J Traumatol       Date:  2014

6.  First clinical implications of perioperative red cell volume measurement with a nonradioactive marker (sodium fluorescein).

Authors:  V H Orth; M Rehm; M Thiel; U Kreimeier; M Haller; H Brechtelsbauer; U Finsterer
Journal:  Anesth Analg       Date:  1998-12       Impact factor: 5.108

7.  Multiple kernel learning captures a systems-level functional connectivity biomarker signature in amyotrophic lateral sclerosis.

Authors:  Tomer Fekete; Neta Zach; Lilianne R Mujica-Parodi; Martin R Turner
Journal:  PLoS One       Date:  2013-12-31       Impact factor: 3.240

  7 in total
  4 in total

1.  Postoperative mortality risk prediction that incorporates intraoperative vital signs: development and internal validation in a historical cohort.

Authors:  Janny Xue Chen Ke; Daniel I McIsaac; Ronald B George; Paula Branco; E Francis Cook; W Scott Beattie; Robin Urquhart; David B MacDonald
Journal:  Can J Anaesth       Date:  2022-08-22       Impact factor: 6.713

2.  Intraoperative phlebotomies and bleeding in liver transplantation: a historical cohort study and causal analysis.

Authors:  François Martin Carrier; Steve Ferreira Guerra; Janie Coulombe; Éva Amzallag; Luc Massicotte; Michaël Chassé; Helen Trottier
Journal:  Can J Anaesth       Date:  2022-02-02       Impact factor: 6.713

3.  Effect of Two Different Tranexamic Acid Doses on Blood Loss in Head and Neck Cancer Surgery: A Randomized, Double-Blind, Controlled Study.

Authors:  Mittapalli J Babu; Praveen K Neema; Habib M Reazaul Karim; Samarjit Dey; Ripudaman Arora
Journal:  Cureus       Date:  2021-12-05

4.  A Closed-Loop Audit for Orthopedic Trauma Operation Notes Comparing Typed Electronic Notes With Handwritten Notes.

Authors:  Fitzgerald Anazor; Vusumuzi Sibanda; Aisha Abubakar; Mutmainah Ekungba-Adewole; Hany Elbardesy; Baljinder S Dhinsa
Journal:  Cureus       Date:  2022-07-13
  4 in total

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