<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">Health</journal-id><journal-title-group><journal-title>Health</journal-title></journal-title-group><issn pub-type="epub">1949-4998</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/health.2019.114033</article-id><article-id pub-id-type="publisher-id">Health-91862</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject><subject> Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Approaches on the Major Predictors of Blood Transfusion in Cardiovascular Surgery: A Systematic Review
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Maria</surname><given-names>Christiane Valéria Braga Braile-Sternieri</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Eliana</surname><given-names>Migliorini Mustafa</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Victor</surname><given-names>Rodrigues Ribeiro Ferreira</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Sofia</surname><given-names>Braile Sabino</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Cibele</surname><given-names>Olegário Vianna Queiroz</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Bethina</surname><given-names>Canaroli Sbardellini</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Giovanni</surname><given-names>Braile Sternieri</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Lúcia</surname><given-names>Angélica Buffulin de Faria</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Idiberto</surname><given-names>José Zotarelli Filho</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Domingo</surname><given-names>Marcolino Braile</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Faceres, Medical School of Sao Jose do Rio Preto, Sao Jose do Rio Preto, Sao Paulo, Brazil</addr-line></aff><aff id="aff1"><addr-line>Domingo Braile Institute of Sao Jose do Rio Preto (SP), Rua Luiz Vaz de Camoes, Sao Jose do Rio Preto, Sao Paulo, Brazil</addr-line></aff><pub-date pub-type="epub"><day>12</day><month>04</month><year>2019</year></pub-date><volume>11</volume><issue>04</issue><fpage>371</fpage><lpage>379</lpage><history><date date-type="received"><day>14,</day>	<month>February</month>	<year>2019</year></date><date date-type="rev-recd"><day>15,</day>	<month>April</month>	<year>2019</year>	</date><date date-type="accepted"><day>18,</day>	<month>April</month>	<year>2019</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Introduction: Experimental Clinical studies have shown that loss of up to 77.0% of red cell mass can be tolerated as long as it kept the blood volume. However, the blood volume loss of about 34.0% is fatal. The initial attention in patients with bleeding should be given to maintaining blood volume and oxygen transport. Thus, transfusions of allogeneic blood products are associated with an increased risk of morbidity and mortality in cardiac surgery. Some transfusion risk scores have been proposed for cardiac surgery patients. 
  Objective: To review and discuss literature blood transfusion (blood components gradient) in cardiovascular surgery versus polytrauma, gastrointestinal bleeding, and neoplastic diseases. 
  Methods: The model followed for the review was PRISMA. We used the databases as Scielo, Lilacs, Google Scholar, PubMed articles and works of scientific and doctoral theses master. 
  Results: According to the discussion in the literature, the acute bleeding of large volumes is challenging to emergency services. Accordingly, the need to support hemotherapeutics led to the development of protocols for more rational utilization of the monitored blood components. 
  Conclusion: Hemotherapy services have adopted a very dynamic approach to the clinical condition presented by patients, the need for four or more red blood cell units.
 
</p></abstract><kwd-group><kwd>Cardiovascular Surgery</kwd><kwd> Polytrauma</kwd><kwd> Transfusion Blood Components</kwd><kwd> Survival</kwd><kwd> Epidemiologic Data</kwd><kwd> Time to Hemostasis</kwd><kwd> Derivatives Volume</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>In the United States, the trauma is a major cause of death among people 1 - 44 years and the third leading cause of death among others. Approximately 21.0% to 44.0% of trauma deaths or cardiovascular surgery occurs after admission and result from massive hemorrhage [<xref ref-type="bibr" rid="scirp.91862-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.91862-ref2">2</xref>]. There are multicenter studies or randomized clinical corroborating with the practice of resuscitation with blood products, so there are many conflicting recommendations [<xref ref-type="bibr" rid="scirp.91862-ref2">2</xref>].</p><p>Transfusion of allogeneic blood products is associated with an increased risk of morbidity and mortality in cardiac surgery. Currently, some transfusion risk scores have been proposed for cardiac surgery patients. In other Western countries, it is the third cause of death after cardiovascular diseases and cancers, and those below 45 years of age, the leading cause of death [<xref ref-type="bibr" rid="scirp.91862-ref3">3</xref>]. According to the Ministry of Health, there were 127,633 deaths from trauma in Brazil in 2005, representing 12.67% of total deaths. In December 2015, there were 86,583 hospitalizations for trauma in the country [<xref ref-type="bibr" rid="scirp.91862-ref3">3</xref>].</p><p>In addition, PRP before cardiopulmonary bypass (CPB) and transfusion of autologous platelet-rich plasma (aPRP) after reversal of heparin could reduce postoperative blood loss. Experimental clinical studies have shown that the loss of up to 75.0% of red cell mass can be tolerated as long as the blood volume remains. However, the blood volume loss of about 30.0% is fatal [<xref ref-type="bibr" rid="scirp.91862-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.91862-ref5">5</xref>]. The initial attention in patients with bleeding should be given to maintaining blood volume, and we should then stick to the oxygen-carrying capacity. The patient should be clinically evaluated in order to quantify blood loss, which is often difficult for a patient with bleeding. Therefore, it is recommended by the ATLS (Advanced Trauma Life Support) [<xref ref-type="bibr" rid="scirp.91862-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.91862-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.91862-ref7">7</xref>].</p><p>In general, there is no need for red blood cell transfusion for patients with acute trauma of Class I and II, particularly in young patients who can adapt well to anemia due to acute loss, and should receive crystalloid solutions [<xref ref-type="bibr" rid="scirp.91862-ref8">8</xref>]. If more than 40% of the blood volume has been lost (Class III and IV) in young patients or less in elderly patients who may already have critically impaired physiological functions in addition to receiving crystalloid solutions, it needs to restore the ability of oxygen delivery, and reversible replacement elements responsible for homeostasis [<xref ref-type="bibr" rid="scirp.91862-ref8">8</xref>].</p><p>The prospective observational multicenter study of transfusion in trauma (The Prospective Observational Multicenter Major Trauma Transfusion Trial) showed that doctors were transfusing patients with blood products in a 1:1:1 or 1:1:2 relative to plasma, platelets and red blood cells [<xref ref-type="bibr" rid="scirp.91862-ref9">9</xref>]. It was also demonstrated that early plasma and platelet transfusion associated with improvement in survival at 6 hours after admission (Holcomb). In patients with severe trauma, and severe hemorrhage, the early administration of plasma, platelets and CHAD in the ratio 1:1:1 compared to a ratio of 1:1:2 resulted in no significant differences in mortality at 24 hours and mortality 30 days, however, more patients in group 1:1:1 obtained homeostasis and lower mortality due to exsanguination in 24 h. Although there was an increase in the use of plasma and platelets transfused group 1:1:1, no other significant differences identified between the two groups [<xref ref-type="bibr" rid="scirp.91862-ref9">9</xref>].</p><p>This study aimed to make a literary discussion of blood transfusion (blood components gradient) in patients under cardiovascular disease, correlating the statistical data of the main continuous and categorical predictors the polytrauma, gastrointestinal disease and neoplastic diseases with the main predictors of response, fluid replacement.</p></sec><sec id="s2"><title>2. Methods</title><p>The model followed for the review was PRISMA (http://www.prisma-statement.org/). We used the databases as Scielo, Lilacs, Google Scholar, PubMed articles and works of scientific and doctoral theses master, according to Flow Chart below. The main descriptors (Mesh Terms) used were “Cardiovascular surgery”, “Polytrauma”, “Transfusion Blood components”, “Survival”, “Epidemiological data”, “Time to hemostasis”, “Volume-based”, as shown by <xref ref-type="fig" rid="fig1">Figure 1</xref> and <xref ref-type="fig" rid="fig2">Figure 2</xref>.</p><sec id="s2_1"><title>2.1. Flow Chart</title><disp-formula id="scirp.91862-formula3"><graphic  xlink:href="//html.scirp.org/file/3-8204550x4.png"  xlink:type="simple"/></disp-formula></sec><sec id="s2_2"><title>2.2. Continuous Predictors</title><p>The continuous predictors were cardiovascular surgery, polytrauma, gastrointestinal bleeding and neoplastic diseases.</p></sec><sec id="s2_3"><title>2.3. Response Predictors</title><p>The response predictors were “Volume replacement”, “Time to hemostasis” and “Survival”.</p></sec><sec id="s2_4"><title>2.4. Primary Outcome</title><p>It was to assess the efficacy and safety of blood products in transfusions in patients with severe cardiovascular surgery, severe trauma and severe bleeding using plasma, platelets and red blood cells (CH).</p></sec><sec id="s2_5"><title>2.5. Secondary Outcome</title><p>To analyze the quality of life after transfusion of blood products.</p></sec></sec><sec id="s3"><title>3. Literature Review and Discussion</title><p>According to the literature, it was found several works and among them were highlighted the following in sequence, with a focus on blood transfusion (blood components gradient) in patients under cardiovascular surgery, polytrauma, gastrointestinal bleeding and neoplastic diseases.</p><p>In this context, one study evaluated the use of atorvastatin in relation to bleeding after cardiac surgery. Thus, they observed that postoperative bleeding was significantly lower in the atorvastatin group compared to controls in the first 12 hours after surgery (372 &#177; 137 vs 561 &#177; 219 ml; p = 0.001) and considering overall bleeding (678 &#177; 387 vs 981 &#177; 345 ml, p = 0.001). A total of 32.3% of controls and 26.3% of atorvastatin users received red blood cell concentrate (p = 0.027), and major surgical complications were similar between groups. Postoperative time was lower in the atorvastatin group with a mean reduction of 1 day of hospitalization (6.0 &#177; 1.4 vs 6.9 &#177; 2.1 days, p = 0.001). Postoperative hemorrhage among patients treated with atorvastatin was significantly higher in those who took lower doses compared to those taking higher doses of atorvastatin with a 20% difference between groups (p = 0.001). Preoperative treatment with atorvastatin may reduce postoperative bleeding and transfusion of packed red blood cells in patients undergoing elective isolated aortic valve replacement. This result can translate into a faster recovery after surgery and reduce hospitalization costs [<xref ref-type="bibr" rid="scirp.91862-ref1">1</xref>].</p><p>A randomized clinical study on cardiovascular surgery explored the effects of platelet-rich plasmapheresis (PRP) on the amount of postoperative blood loss and the requirements for allogeneic fresh frozen plasma (FFP) and red blood cell (RBC) transfusions. A bibliographic search of 7 online databases was performed. Fifteen randomized controlled trials enrolled a total of 1002 patients, including 501 patients who received PRP and 501 control patients. Meta-analysis of the data from these trials showed that PRP reduced the total volume of postoperative blood loss (standardized mean difference [SMD], −0.74; 95% confidence interval [CI], −1.18 to −0, P &lt; 0.05), reduced postoperative fresh frozen plasma (PFM) (SMD, −0.38, 95% CI, −0.69 to −0.08, P &lt; 0.05), reduced postoperative red blood cell transfusion (SMD, −0.44, 95% CI, −0.77 to −0.10, P &lt; 0.05), and reduced the proportion of patients receiving red blood cell transfusions (relative risk [RR], 0.44, 95% CI, 0.21 - 0.91, P &lt; 0.05) during cardiovascular surgery. PRP before cardiopulmonary bypass (CPB) and transfusion of autologous platelet-rich plasma (aPRP) after heparin reversal could reduce blood loss in the postoperative period, the requirements for transfusion of blood products during cardiovascular surgery [<xref ref-type="bibr" rid="scirp.91862-ref2">2</xref>]. In this sense, transfusions of allogeneic blood products are associated with an increased risk of morbidity and mortality in cardiac surgery. Currently, some transfusion risk scores have been proposed for cardiac surgery patients [<xref ref-type="bibr" rid="scirp.91862-ref2">2</xref>].</p><p>Thus, one study developed a new score and compared it with preexisting scores-transfusion risk score and clinical knowledge (TRACK) and TRUST score (Scoring Understanding Scoring Tool) [<xref ref-type="bibr" rid="scirp.91862-ref3">3</xref>]. A total of 1014 adult patients undergoing cardiac surgery were included in the retrospective study. A predictive score was developed from six variables using logistic regression analysis, and the new score was compared with the other existing scores―TRACK and TRUST. The new score had the following predictive factors: age &gt; 58 years, weight &lt; 63 kg for males and &lt;49 kg for females, sex (female), complex surgery, hemoglobin &lt; 13.5 g/dl and creatinine &gt; 1.36 mg/dl. The validation of the new score demonstrated an acceptable predictive power (area under the curve [AUC] 0.749) and a good calibration in the Hosmer-Lemeshow test. The new score was comparable to the TRACK score with P = 0.578 (AUC of TRACK 0.756 and AUC of the new score 0.749). There was a significant difference between the new score and the TRUST score, p = 0.01 (AUC of TRUST 0.72 and AUC of the new score 0.749). The new score is a simple risk model based on six predictors with similar accuracy and calibration in predicting the rate of transfusion in cardiac surgery when compared to the TRACK score [<xref ref-type="bibr" rid="scirp.91862-ref3">3</xref>].</p><p>In this context, the transfusion is not without risk, including transfusion reaction, infection, and increased mortality [<xref ref-type="bibr" rid="scirp.91862-ref4">4</xref>]. A hemoglobin level of 7.0 gdL<sup>−1</sup> is safe in the setting of critical illness, sepsis, gastrointestinal bleeding, and trauma. The doctor should assess and transfuse based on the clinical setting and hemodynamic status of the patient instead of using a specific limit [<xref ref-type="bibr" rid="scirp.91862-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.91862-ref6">6</xref>].</p><p>Another study showed that the ready-made fibrinogen prevented fibrinogen to treat patients with trauma as the first-line treatment of trauma bleeding will increase clot strength, as measured by thrombelastography, transfusion requirements and survival in patients receiving hemostatic resuscitation according to the current standard of care [<xref ref-type="bibr" rid="scirp.91862-ref7">7</xref>].</p><p>In addition, another study showed that the importance of red blood cell transfusions may lead to secondary hemochromatosis. Thus, a case was presented describing the acute development of secondary hemochromatosis multiple transfusions in a burned patient. Therefore, the secondary hemochromatosis was unavoidable [<xref ref-type="bibr" rid="scirp.91862-ref8">8</xref>]. Based on other work, it was shown that most polytrauma geriatric patients with severe pelvic fractures were at high risk of massive transfusion [<xref ref-type="bibr" rid="scirp.91862-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.91862-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.91862-ref10">10</xref>].</p><p>A systematic review study found that components mimic whole blood can produce survival benefits in massively transfused patients after trauma. Twenty-one studies were included in the analysis. Those who received high-experienced rates had a higher survival benefit. [<xref ref-type="bibr" rid="scirp.91862-ref10">10</xref>]. A transfusion study in 24 patients with acute bleeding consisted of an average of 16 to 18 units of red blood cells resuspended (ranging from 4.880 mL to 5.220 mL), fresh frozen plasma (980 mL to 1220 mL); cryoprecipitate (average 10 to 15 units or 500 to 750 mL) and concentrated platelets (approximately an average of 8 to 12 units ie, 240 - 360 mL). As a result, it was confirmed pathophysiological mechanism in the medical literature that after the transfusion of large volumes of concentrated red cells, develops dilutional coagulopathy, caused by a sharp drop in the platelet count and reduced activity of labile coagulation factors the circulation of the patient [<xref ref-type="bibr" rid="scirp.91862-ref11">11</xref>].</p><p>According to the discussion in the literature, the acute bleeding of large volumes is challenging to emergency services [<xref ref-type="bibr" rid="scirp.91862-ref12">12</xref>]. In the historical context, the need to understand the pathophysiology of hemorrhagic shock and the adoption of appropriate therapy dates back to World War I, although significant progress has only been made from the use of plasma volume expander as in World War II. In the '50s, the Korean conflict, and in the 60s and 70s, the Vietnam War, brought to American surgeons greater knowledge and experience of hemorrhagic shock [<xref ref-type="bibr" rid="scirp.91862-ref12">12</xref>].</p><p>Accordingly, the need to support hemotherapeutic led to the development of protocols for more rational utilization of the monitored blood products [<xref ref-type="bibr" rid="scirp.91862-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.91862-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.91862-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.91862-ref16">16</xref>]. In shock by massive blood loss commitment of both tissue perfusion and oxygenation is critical, as well as complications from the base frame (shock and tissue hypoxia) and secondary to therapy [<xref ref-type="bibr" rid="scirp.91862-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.91862-ref18">18</xref>] [<xref ref-type="bibr" rid="scirp.91862-ref19">19</xref>].</p><p>Thus, when there is massive bleeding in an emergency room or an operating room is necessary to make massive transfusion with replacement of at least one blood volume in a range of up to 24 hours, or to spare 50.0% of volume in three hours or transfusion of more than 20 units of red blood cells [<xref ref-type="bibr" rid="scirp.91862-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.91862-ref21">21</xref>].</p><p>It is important to remember that only the third volume of crystalloid volume remains in the intravascular space, the rest spills rapidly into the interstitial space, so blood loss, when restored with crystalloid, should maintain the proportion of three volumes of crystalloid for each volume of blood loss [<xref ref-type="bibr" rid="scirp.91862-ref22">22</xref>] [<xref ref-type="bibr" rid="scirp.91862-ref23">23</xref>].</p><p>Another detail periods tissue hypoperfusion variables determine significant changes in permeability of microcirculation, causing the distribution to the interstitial space is facilitated, that is alleviated by solutions that increase intravascular colloid osmotic pressure using human albumin solutions or plasma expanders, the use of these is not without complications as interference in hemostasis and anaphylactic reactions [<xref ref-type="bibr" rid="scirp.91862-ref24">24</xref>]. Hematocrit is not a good parameter to guide the decision to transfuse or not to transfuse, due to the fact that it only starts to decrease one to two hours after the onset of hemorrhage [<xref ref-type="bibr" rid="scirp.91862-ref25">25</xref>].</p></sec><sec id="s4"><title>4. Conclusion</title><p>Therefore, transfusion services have adopted a very dynamic vision to forecast the clinical condition presented by patients, the need for four or more red blood cell units. For more complete service of massive transfusions, it is imperative to review the concepts of volume/perfusion and tissue oxygenation, and the difference that exists between the concepts.</p></sec><sec id="s5"><title>Acknowledgements</title><p>The work was supported by Domingo Braile Institute―S&#227;o Jos&#233; do Rio Preto―SP, Brazil.</p></sec><sec id="s6"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s7"><title>Cite this paper</title><p>Braile-Sternieri, M.C.V., Mustafa, E.M., Ferreira, V.R.R., Sabino, S.B., Vianna Queiroz, C.O., Sbardellini, B.C., Sternieri, G.B., Buffulin de Faria, L.A., Zotarelli Filho, I.J. and Braile, D.M. (2019) Approaches on the Major Predictors of Blood Transfusion in Cardiovascular Surgery: A Systematic Review. 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