OP-34: Clinical validation survey for blood loss quantification in forensic practice

Details

Serval ID
serval:BIB_C712721D304B
Type
Inproceedings: an article in a conference proceedings.
Publication sub-type
Abstract (Abstract): shot summary in a article that contain essentials elements presented during a scientific conference, lecture or from a poster.
Collection
Publications
Institution
Title
OP-34: Clinical validation survey for blood loss quantification in forensic practice
Title of the conference
IALM intersocietal symposium
Author(s)
Lardi C., Murith N., Perneger T., Mangin P., Fracasso T.
Address
Venise, Italie, 21-24 juin 2016
Publication state
Published
Issued date
2016
Peer-reviewed
Oui
Language
english
Abstract
Background and Aims. Blood loss evaluation in forensic medicine is of major relevance for survival time estimation and assessment of the degree of a life-threatening condition. Several algorithms for perioperative blood loss quantification have been proposed in the literature. Specific algorithm,.based on sex, height, weight, distant hemoglobin levels and transfusions, was selected. The aim of this study was to evaluate the power of this algorithm for forensic purposes.
Materials and Methods. A clinical prospective study was conducted on 30 consecutive patients during open abdominal aortic surgery. Hemoglobin level was registered at different time points: before, during and after. procedure. lntraoperative blood loss was measured by the surgeon and any transfusion (red blood cells and intraoperative autologous blood transfusion) was recorded. Estimated blood loss was calculated according to the algorithm and results were compared to measured intraoperative blood loss.
Results. Mean measured hemorrhage was 1008 ml per patient (min 120, max 2280, SD 714). Significant positive correlation was observed between measured and calculated results I (r=0.647, r=0.701, r=0.768; p<0.01). The algorithm globally overestimated the losses, showing significant difference between the results.
Conclusions. Measured hemorrhage was probably underestimated considering hidden blood loss. Nevertheless, caution is mandatory for application of this algorithm in forensic practice.
Keywords
Blood loss, quantification, algorithm, hemorrhage
Create date
13/07/2016 12:56
Last modification date
20/08/2019 16:42
Usage data