Literature DB >> 12812382

A model for clinical estimation of perioperative hemorrhage.

Christopher Howe1, Christopher Paschall, Amit Panwalkar, James Beal, Anil Potti.   

Abstract

The purpose of this study was to assess the accuracy of estimated blood loss (EBL) as a reliable predictor of actual blood loss during orthopedic procedures. Between 1999 and 2002, 198 orthopedic cases were reviewed. A retrospective review compiled preoperative and postoperative demographic and laboratory data from the surgical patients. Estimated blood loss data was collected from the perioperative and anesthesia reports. Statistical analysis of EBL vs. change in hemoglobin yielded a correlation coefficient of 0.189 and a p value of 0.008. We used multiple linear regression to obtain a model to predict change in hemoglobin based on EBL and the intravenous fluids received. The model is as follows: predicted change in hemoglobin = 1.001 x estimated blood loss (in liters) + 0.441 x intravenous fluids received (in liters) + 2.334. The study population included 198 patients, 126 males and 72 females, who met our inclusion criteria. The mean age was 68.1 years (range: SD 12.5), including 126 males (64%) and 72 females (37%). The mean amount of perioperative intravenous fluids given was 1,732 mL (SD: 773). The mean surgical time was 64.8 minutes (SD: 23.1). The mean preoperative hematocrit and hemoglobin levels were 40.9 g/dL (SD: 4.3) and 13.9 g/dL (SD: 1.6), respectively. The mean postoperative hematocrit and hemoglobin levels were 32.0 g/dL (SD: 6.0) and 10.7 g/dL (SD: 1.6), respectively. The mean difference of preoperative hemoglobin vs. postoperative hemoglobin was 3.3 g/dL (SD 2.1). In this retrospective study, clinical estimation of blood loss was closely correlated with actual change in perioperative hemoglobin. Accurately predicting the postoperative hemoglobin level may prevent many unnecessary blood transfusions and related complications.

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Year:  2003        PMID: 12812382     DOI: 10.1177/107602960300900207

Source DB:  PubMed          Journal:  Clin Appl Thromb Hemost        ISSN: 1076-0296            Impact factor:   2.389


  7 in total

1.  Predicting postoperative day 1 hematocrit levels after uncomplicated hysterectomy.

Authors:  Carolyn W Swenson; Michael S Lanham; Daniel M Morgan; Mitchell B Berger
Journal:  Int J Gynaecol Obstet       Date:  2015-03-31       Impact factor: 3.561

2.  Study to estimate the average blood loss in different orthopedic procedures: A retrospective review.

Authors:  Mohammad Noah Hasan Khan; K Yasser Jamal; Hassan Shafiq; Ammal Imran Qureshi; Basharat Ghafoor Khan; Sadia Farrukh
Journal:  Ann Med Surg (Lond)       Date:  2021-10-15

3.  A prospective, randomized, double-blinded single-site control study comparing blood loss prevention of tranexamic acid (TXA) to epsilon aminocaproic acid (EACA) for corrective spinal surgery.

Authors:  Kushagra Verma; Thomas J Errico; Kenneth M Vaz; Baron S Lonner
Journal:  BMC Surg       Date:  2010-04-06       Impact factor: 2.102

4.  Total hip arthroplasty in patients with haemophilia - What are the risks of bleeding in the immediate peri-operative period?

Authors:  Grainne Colgan; Joseph F Baker; N Donlon; N Hogan; T McCarthy
Journal:  J Orthop       Date:  2016-07-27

5.  A Comparison of Two Different Dosing Protocols for Tranexamic Acid in Posterior Spinal Fusion for Spinal Deformity: A Prospective, Randomized Trial.

Authors:  Kushagra Verma; Eitan Kohan; Christopher P Ames; Dana L Cruz; Vedat Deviren; Sigurd Berven; Thomas J Errico
Journal:  Int J Spine Surg       Date:  2015-11-19

6.  The effect of perioperative anemia on clinical and functional outcomes in patients with hip fracture.

Authors:  Ethan A Halm; Jason J Wang; Kenneth Boockvar; Joan Penrod; Stacey B Silberzweig; Jay Magaziner; Kenneth J Koval; Albert L Siu
Journal:  J Orthop Trauma       Date:  2004-07       Impact factor: 2.512

Review 7.  Comparison of common perioperative blood loss estimation techniques: a systematic review and meta-analysis.

Authors:  Lara Gerdessen; Patrick Meybohm; Suma Choorapoikayil; Eva Herrmann; Isabel Taeuber; Vanessa Neef; Florian J Raimann; Kai Zacharowski; Florian Piekarski
Journal:  J Clin Monit Comput       Date:  2020-08-19       Impact factor: 2.502

  7 in total

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