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<art>
	<ui>cc3526</ui>
	<ji>CCJ</ji>
	<fm>
		<dochead>Review</dochead>
		<bibl>
			<title>
				<p>Bench-to-bedside review: Oxygen debt and its metabolic correlates as quantifiers of the severity of hemorrhagic and post-traumatic shock</p>
			</title>
			<aug>
				<au id="A1" ca="yes">
					<snm>Rixen</snm>
					<fnm>Dieter</fnm>
					<insr iid="I1"/>
					<email>dieter.rixen@uni-wh.de</email>
				</au>
				<au id="A2">
					<snm>Siegel</snm>
					<mi>H</mi>
					<fnm>John</fnm>
					<insr iid="I2"/>
					<email>siegeljh@umdnj.edu</email>
				</au>
			</aug>
			<insg>
				<ins id="I1">
					<p>Department of Trauma/Orthopedic Surgery, University of Witten/Herdecke at the Hospital Merheim, Cologne, Germany</p>
				</ins>
				<ins id="I2">
					<p>Department of Surgery &amp; Department of Cell Biology and Molecular Medicine, New Jersey Medical School, University of Medicine and Dentistry of New Jersey (UMDNJ), Newark, New Jersey, USA</p>
				</ins>
			</insg>
			<source>Critical Care</source>
			<issn>1364-8535</issn>
			<pubdate>2005</pubdate>
			<volume>9</volume><issue>5</issue><fpage>441</fpage><lpage>453</lpage><xrefbib>
				<pubidlist><pubid idtype="pmpid">16277731</pubid><pubid idtype="doi">10.1186/cc3526</pubid>
				</pubidlist></xrefbib>
		</bibl>
		<history>
			<pub>
				<date>
					<day>20</day>
					<month>4</month>
					<year>2005</year>
				</date>
			</pub>
		</history>
		<cpyrt>
			<year>2005</year>
			<collab>BioMed Central Ltd</collab>
		</cpyrt>
		<abs>
			<sec>
				<st>
					<p>Abstract</p>
				</st>
				<p>Evidence is increasing that oxygen debt and its metabolic correlates are important quantifiers of the severity of hemorrhagic and post-traumatic shock and and may serve as useful guides in the treatment of these conditions. The aim of this review is to demonstrate the similarity between experimental oxygen debt in animals and human hemorrhage/post-traumatic conditions, and to examine metabolic oxygen debt correlates, namely base deficit and lactate, as indices of shock severity and adequacy of volume resuscitation. Relevant studies in the medical literature were identified using Medline and Cochrane Library searches. Findings in both experimental animals (dog/pig) and humans suggest that oxygen debt or its metabolic correlates may be more useful quantifiers of hemorrhagic shock than estimates of blood loss, volume replacement, blood pressure, or heart rate. This is evidenced by the oxygen debt/probability of death curves for the animals, and by the consistency of lethal dose (LD)<sub>25,50 </sub>points for base deficit across all three species. Quantifying human post-traumatic shock based on base deficit and adjusting for Glasgow Coma Scale score, prothrombin time, Injury Severity Score and age is demonstrated to be superior to anatomic injury severity alone or in combination with Trauma and Injury Severity Score. The data examined in this review indicate that estimates of oxygen debt and its metabolic correlates should be included in studies of experimental shock and in the management of patients suffering from hemorrhagic shock.</p>
			</sec>
		</abs>
	</fm>
	<bdy>
		<sec>
			<st>
				<p>Introduction</p>
			</st>
			<p>In a noninjured, nonseptic, healthy state, oxygen consumption (VO<sub>2</sub>) is a closely regulated process because oxygen serves as the critical carbon acceptor in the generation of energy from a wide variety of metabolic fuels. Post-traumatic hemorrhage leads to a hypovolemia in which blood flow and consequently oxygen delivery to vital organs are decreased. When oxygen delivery is decreased to a degree sufficient to reduce VO<sub>2 </sub>to below a critical level, a state of shock occurs, producing ischemic metabolic insuffiency <abbrgrp><abbr bid="B1">1</abbr><abbr bid="B2">2</abbr><abbr bid="B3">3</abbr></abbrgrp>. This degree of restriction in VO<sub>2 </sub>can also be produced by cardiogenic or vasodilatory shock, in which oxygen delivery is restricted by low flow. When this critical level of oxygen restriction is reached, an oxygen debt (O<sub>2</sub>D) occurs. In the literature, the terms 'oxygen debt' and 'oxygen deficit' are used interchangeably and are defined as the integral difference between the prehemorrhage/pretrauma resting normal VO<sub>2 </sub>and the VO<sub>2 </sub>during the hypovolemic, hemorrhage period <abbrgrp><abbr bid="B4">4</abbr><abbr bid="B5">5</abbr><abbr bid="B6">6</abbr><abbr bid="B7">7</abbr><abbr bid="B8">8</abbr><abbr bid="B9">9</abbr></abbrgrp>. For purposes of simplification, the term O<sub>2</sub>D ('oxygen debt') is used in this review. The presence and extent of an O<sub>2</sub>D is further highlighted by an increase in the unmetabolized metabolic acids generated by the anaerobic processes. It is the close congruence of O<sub>2</sub>D and related metabolic acidemia that permits precise quantification of the severity of the ischemic shock process in both animals and humans.</p>
			<p>The aim of this review is to demonstrate the quantitative similarity between experimental O<sub>2</sub>D shock and that induced in humans by post-traumatic or severe hemorrhagic, hypovolemic conditions. It also examines the use of metabolic correlates of O<sub>2</sub>D as indices of the severity of the shock process in two mammalian species and in humans, and the value of these correlates as guides to the adequacy of volume-mediated resuscitation.</p>
			<p>This review is based on a search of the Medline and Cochrane Library databases from 1964 to December 2004. The search terms 'oxygen debt or deficit', 'base excess or deficit', 'lactate', 'hemorrhagic shock' and 'multiple trauma' were used. These terms were mapped to Medline Subject Headings (MESH) terms, as well as being searched for as text items. The following combinations were studied: 'oxygen debt' or 'oxygen deficit' and 'hemorrhagic shock', 'lactate' and 'multiple trauma', as well as 'base excess' or 'base deficit' and 'multiple trauma'. No language restrictions were applied.</p>
		</sec>
		<sec>
			<st>
				<p>The clinical problem of quantification of hemorrhagic shock severity and the effectiveness of resuscitation</p>
			</st>
			<p>That post-traumatic shock is initiated by acute volume loss was first noted by Cannon <abbrgrp><abbr bid="B10">10</abbr></abbrgrp> and later demonstrated by the experimental studies conducted by Blalock <abbrgrp><abbr bid="B11">11</abbr></abbrgrp>. Subsequently, Wiggers <abbrgrp><abbr bid="B12">12</abbr></abbrgrp> and Guyton <abbrgrp><abbr bid="B13">13</abbr></abbrgrp> developed a variety of animal models based on controlled hemorrhage. Other models involving uncontrolled bleeding <abbrgrp><abbr bid="B14">14</abbr><abbr bid="B15">15</abbr></abbrgrp>, fixed volume loss <abbrgrp><abbr bid="B16">16</abbr><abbr bid="B17">17</abbr><abbr bid="B18">18</abbr><abbr bid="B19">19</abbr><abbr bid="B20">20</abbr></abbrgrp>, or a defined level of hypotension <abbrgrp><abbr bid="B16">16</abbr><abbr bid="B19">19</abbr><abbr bid="B20">20</abbr><abbr bid="B21">21</abbr><abbr bid="B22">22</abbr></abbrgrp> have been used. In previous studies, the severity of shock was defined by the degree and duration of the resulting hypovolemia. Thus, attempts were made to quantify the effectiveness of resuscitation by assessing the improvement in blood pressure or perfusion occurring in response to different volumes of electrolyte, colloid, or blood-containing fluids, which are administered to prevent death during the immediate postshock period.</p>
			<p>In the clinical arena, this issue became acute during World War II, when fluid transfusion and use of blood and blood products as a means of effectively restoring blood volume became a realistic possibility. Consequently, volume infusion and blood or blood product transfusion were used extensively for the first time during the North African Campaign by US and UK forces <abbrgrp><abbr bid="B23">23</abbr></abbrgrp>, and was a primary modality for treatment of shock in the Korean War <abbrgrp><abbr bid="B24">24</abbr></abbrgrp>. These clinical advances led to extensive efforts to elucidate human hypovolemic shock and to establish experimental models that emulate clinical shock. The most extensive series of clinical/physiologic studies were performed in postoperative <abbrgrp><abbr bid="B25">25</abbr><abbr bid="B26">26</abbr></abbrgrp> and posttrauma <abbrgrp><abbr bid="B27">27</abbr></abbrgrp> shock patients, in whom the response to volume infusion was evaluated. These and other studies <abbrgrp><abbr bid="B28">28</abbr><abbr bid="B29">29</abbr></abbrgrp> of resuscitation after hypovolemic shock demonstrated the fall in VO<sub>2 </sub>associated with the decrease in cardiac output, and demonstrated the arterial vasoconstriction that occurred in an attempt to compensate for the fall in blood pressure. They also demonstrated the postresuscitation hyperdynamic state, in which cardiac output rises to permit an increase in VO<sub>2</sub>, apparently compensating for and even exceeding the initial fall in VO<sub>2 </sub><abbrgrp><abbr bid="B1">1</abbr><abbr bid="B2">2</abbr><abbr bid="B26">26</abbr></abbrgrp>. These data appeared to validate in humans the 'oxygen deficit' concept initially enunciated by Crowell and Smith <abbrgrp><abbr bid="B4">4</abbr></abbrgrp> based on experimental findings. Nevertheless, in spite of these animal and clinical physiological studies, controversy remains with regard to the optimal nature and magnitude of postshock volume resuscitation. Options include massive isotonic fluid replacement <abbrgrp><abbr bid="B30">30</abbr><abbr bid="B31">31</abbr></abbrgrp>, use of intravascular colloid containing fluids <abbrgrp><abbr bid="B32">32</abbr></abbrgrp>, and substitution with small volume hypertonic saline after hemorrhage <abbrgrp><abbr bid="B33">33</abbr></abbrgrp>.</p>
			<p>Recently, however, a new resuscitation concept has emerged for application when the degree of autogenous vascular control is uncertain, namely permissive hypotension; this is achieved by administering small volumes of resuscitation fluid, permitting only minimal increase in perfusion until full vascular control of hemorrhage can be achieved by surgical intervention <abbrgrp><abbr bid="B34">34</abbr><abbr bid="B35">35</abbr></abbrgrp>. Although the statistical validity of the initial human studies <abbrgrp><abbr bid="B34">34</abbr></abbrgrp> has been questioned <abbrgrp><abbr bid="B36">36</abbr></abbrgrp>, the concept appears to have some utility, provided that sufficient levels of tissue VO<sub>2 </sub>can be achieved to prevent the acute consequences of cellular ischemia <abbrgrp><abbr bid="B37">37</abbr></abbrgrp>. These issues focus on the need for accurate and easily measured correlates of O<sub>2</sub>D that can quantify the severity of O<sub>2</sub>D and that can be monitored on a continuing basis during resuscitation.</p>
		</sec>
		<sec>
			<st>
				<p>Experimental models of hemorrhagic hypovolemic shock</p>
			</st>
			<p>A large number of animal models have been developed to simulate the critical end-points of hemorrhagic shock. Deitch <abbrgrp><abbr bid="B38">38</abbr></abbrgrp> divided these models into three general categories: uncontrolled bleeding, controlled bleeding volume, and controlled decrements in blood pressure.</p>
			<p>A more physiologically relevant animal model is needed because of the clinical requirement to progress beyond the traditional end-points of volume loss and subsequent blood pressure levels <abbrgrp><abbr bid="B39">39</abbr></abbrgrp>. Furthermore, such a model is needed to determine why a state of hyperdynamic cardiovascular compensation develops after hypovolemic shock <abbrgrp><abbr bid="B25">25</abbr><abbr bid="B40">40</abbr></abbrgrp>. Also, numerous clinical studies have shown that hypovolemic trauma patients can remain in a state of shock, with evidence of inadequate tissue perfusion and metabolic acidosis <abbrgrp><abbr bid="B29">29</abbr><abbr bid="B41">41</abbr><abbr bid="B42">42</abbr></abbrgrp>, even if the traditional end-points have been normalized <abbrgrp><abbr bid="B1">1</abbr><abbr bid="B2">2</abbr><abbr bid="B25">25</abbr><abbr bid="B40">40</abbr></abbrgrp>. This is reflected in the present definition promulgated by the American College of Surgeons: 'Shock is an abnormality of the circulatory system that results in inadequate organ perfusion and tissue oxygenation' <abbrgrp><abbr bid="B3">3</abbr></abbrgrp>. This understanding of the relationship between shock and inadequate perfusion has led to the development of a possibly more clinically relevant fourth general category of experimental hemorrhagic shock models, based on the concept of repayment of shock-induced O<sub>2</sub>D. Table <tblr tid="T1">1</tblr> summarizes the historical development of hemorrhagic shock models with O<sub>2</sub>D as an end-point. It is based on a systematic Medline/Cochrane Library literature search using the terms 'oxygen debt or deficit' and 'hemorrhagic shock'. From 52 suggested articles, only 13 that strictly dealt with defined O<sub>2</sub>D in a hemorrhagic shock model are included.</p>
			<tbl id="T1">
				<title>
					<p>Table 1</p>
				</title>
				<caption>
					<p>Historical development of hemorrhagic shock models with oxygen debt as an end-point</p>
				</caption>
				<tblbdy cols="4">
					<r>
						<c ca="left">
							<p>Author (year) [ref.]</p>
						</c>
						<c ca="left">
							<p>Model</p>
						</c>
						<c ca="left">
							<p>Method</p>
						</c>
						<c ca="left">
							<p>Result</p>
						</c>
					</r>
					<r>
						<c cspan="4">
							<hr/>
						</c>
					</r>
					<r>
						<c ca="left">
							<p>Crowell and Smith (1964) [4]</p>
						</c>
						<c ca="left">
							<p>Dog</p>
						</c>
						<c ca="left">
							<p>Hypotension of 30 mmHg; various oxygen deficits were allowed to accumulate</p>
						</c>
						<c ca="left">
							<p>O<sub>2</sub>D as an indicator of survival</p>
						</c>
					</r>
					<r>
						<c ca="left">
							<p>Rush <it>et al</it>. (1965) [5]</p>
						</c>
						<c ca="left">
							<p>Dog</p>
						</c>
						<c ca="left">
							<p>30 min hemorrhage with varying hemorrhage volumes; achieved O<sub>2</sub>D varied</p>
						</c>
						<c ca="left">
							<p>O<sub>2</sub>D as an indicator of cardiovascular change; the end-point 'survival' was not evaluated</p>
						</c>
					</r>
					<r>
						<c ca="left">
							<p>Goodyer (1967) [90]</p>
						</c>
						<c ca="left">
							<p>Dog</p>
						</c>
						<c ca="left">
							<p>Hypotension of 30&#8211;50 mmHg; various oxygen deficits were allowed to accumulate</p>
						</c>
						<c ca="left">
							<p>Irreversibility of shock is determined by peripheral mechanisms; the end-point'survival' was not evaluated</p>
						</c>
					</r>
					<r>
						<c ca="left">
							<p>Jones <it>et al</it>. (1968) [7]</p>
						</c>
						<c ca="left">
							<p>Dog</p>
						</c>
						<c ca="left">
							<p>Hypotension of 30 mmHg; an oxygen deficit of120 cm<sup>3</sup>/kg was allowed to accumulate</p>
						</c>
						<c ca="left">
							<p>O<sub>2</sub>D as an indicator of survival</p>
						</c>
					</r>
					<r>
						<c ca="left">
							<p>Rothe (1968) [6]</p>
						</c>
						<c ca="left">
							<p>Dog</p>
						</c>
						<c ca="left">
							<p>Hypotension of 30 mmHg; various oxygen deficits were allowed to accumulate</p>
						</c>
						<c ca="left">
							<p>No correlation betweeen O<sub>2</sub>D and survival</p>
						</c>
					</r>
					<r>
						<c ca="left">
							<p>Neuhof <it>et al</it>. (1973) [8]</p>
						</c>
						<c ca="left">
							<p>Rabbit</p>
						</c>
						<c ca="left">
							<p>30 min hemorrhage (1 ml/kg per min); achieved O<sub>2</sub>D varied</p>
						</c>
						<c ca="left">
							<p>O<sub>2</sub>D as an indicator of survival</p>
						</c>
					</r>
					<r>
						<c ca="left">
							<p>Schoenberg <it>et al</it>. (1985) [21]</p>
						</c>
						<c ca="left">
							<p>Dog</p>
						</c>
						<c ca="left">
							<p>Hypotension of 30 mmHg; various oxygen deficits were allowed to accumulate</p>
						</c>
						<c ca="left">
							<p>No correlation betweeen O<sub>2</sub>D and survival</p>
						</c>
					</r>
					<r>
						<c ca="left">
							<p>Reinhart <it>et al</it>. (1989) [91]</p>
						</c>
						<c ca="left">
							<p>Dog</p>
						</c>
						<c ca="left">
							<p>Hypotension of 40 mmHg; various oxygen deficits were allowed to accumulate</p>
						</c>
						<c ca="left">
							<p>Excess oxygen uptake in recovery with hydroxyethylstarch; the end-point 'survival' was not evaluated</p>
						</c>
					</r>
					<r>
						<c ca="left">
							<p>Dunham <it>et al</it>. (1991) [9]</p>
						</c>
						<c ca="left">
							<p>Dog</p>
						</c>
						<c ca="left">
							<p>Predetermined O<sub>2</sub>D after 60 min; independent of blood pressure or hemorrhage volume</p>
						</c>
						<c ca="left">
							<p>O<sub>2</sub>D as an indicator of survival and O<sub>2</sub>D probability of death defined for dog</p>
						</c>
					</r>
					<r>
						<c ca="left">
							<p>Sheffer <it>et al</it>. (1997) [92]</p>
						</c>
						<c ca="left">
							<p>Computer</p>
						</c>
						<c ca="left">
							<p>Computer simulation of myocardial oxygen deficit</p>
						</c>
						<c ca="left">
							<p>For hemorrhage of 100 ml/min: time interval from injury to cardiac O<sub>2</sub>D inversely related to infusion rate; the end-point 'survival' was not evaluated</p>
						</c>
					</r>
					<r>
						<c ca="left">
							<p>Siegel <it>et al</it>. (1997) [43]</p>
						</c>
						<c ca="left">
							<p>Dog</p>
						</c>
						<c ca="left">
							<p>Predetermined O<sub>2</sub>D after 60 min; independent of blood pressure or hemorrhage volume</p>
						</c>
						<c ca="left">
							<p>Superiority of recombinant hemoglobin over colloid or whole blood in resuscitation</p>
						</c>
					</r>
					<r>
						<c ca="left">
							<p>Rixen <it>et al</it>. (2001) [44]</p>
						</c>
						<c ca="left">
							<p>Pig</p>
						</c>
						<c ca="left">
							<p>Predetermined O<sub>2</sub>D after 60 min; independent of blood pressure or hemorrhage volume</p>
						</c>
						<c ca="left">
							<p>O<sub>2</sub>D as an indicator of survival and O<sub>2</sub>D probability of death defined for pig.</p>
						</c>
					</r>
					<r>
						<c ca="left">
							<p>Siegel <it>et al</it>. (2003) [37]</p>
						</c>
						<c ca="left">
							<p>Dog</p>
						</c>
						<c ca="left">
							<p>Predetermined O<sub>2</sub>D after 60 min; independent of blood pressure or hemorrhage volume</p>
						</c>
						<c ca="left">
							<p>Determination of critical level of partial resuscitation as 30% of blood volume loss to return O<sub>2</sub>D to survival levels without vital organ cellular injury</p>
						</c>
					</r>
				</tblbdy>
				<tblfn>
					<p>O<sub>2</sub>D, oxygen debt.</p>
				</tblfn>
			</tbl>
			<p>Thus, development of models of hemorrhagic shock must follow current knowledge and must consider indices of inadequate organ perfusion and tissue oxygenation, which are more meaningful end-points in the clinical setting <abbrgrp><abbr bid="B4">4</abbr></abbrgrp>. Up to the 1990s O<sub>2</sub>D was used as a secondary end-point in pressure-controlled or volume-controlled models of hemorrhagic shock (Table <tblr tid="T1">1</tblr>); in contrast, Dunham and coworkers <abbrgrp><abbr bid="B9">9</abbr></abbrgrp> described a canine model of hemorrhagic shock in which O<sub>2</sub>D was used as the independent predictor of the probability of death and organ failure. This canine model, which was validated in subsequent studies <abbrgrp><abbr bid="B37">37</abbr><abbr bid="B43">43</abbr></abbrgrp>, follows the hypothesis that the total magnitude of O<sub>2</sub>D reached during hemorrhage is the critical determinant of survival, and that this variable and its metabolic consequences of lactic acidemia and base deficit better reflect the severity of the cellular insult than do traditional variables such as bleeding volume and blood pressure. This hypothesis was also verified in a pig model of O<sub>2</sub>D hemorrhagic shock <abbrgrp><abbr bid="B44">44</abbr></abbrgrp>.</p>
		</sec>
		<sec>
			<st>
				<p>General principles in the identification and quantification of oxygen debt</p>
			</st>
			<p>In healthy young men, the resting VO<sub>2 </sub>has been shown to average 140 ml/min per m<sup>2</sup>. If this VO<sub>2 </sub>is decreased by reduced blood flow with restriction in organ and tissue perfusion, a critical level of ischemia is induced, with a disparity between the oxidative requirement mandated by the level of metabolism and the level of oxygen delivery &#8211; an O<sub>2</sub>D occurs. Physiologically, if resuscitation is performed before a fatal metabolic debt is incurred then there is rapid repayment of the O<sub>2</sub>D, with VO<sub>2 </sub>overshoot as the unmetabolized acids are oxidatively metabolized during the reperfusion period. This is effected by an increase in oxygen delivery mediated by a rise in cardiac output &#8211; the 'hyperdynamic state' <abbrgrp><abbr bid="B1">1</abbr><abbr bid="B26">26</abbr></abbrgrp>. However, as the O<sub>2</sub>D accumulates the likelihood of cellular injury increases, with reduction in cellular membrane integrity and consequent cell swelling as intracellular water increases. Later in the process intracellular organelles become damaged, cellular synthetic mechanisms cease, and finally lysosomes are activated, which results in cell necrosis and death <abbrgrp><abbr bid="B45">45</abbr></abbrgrp>. Even at less severe O<sub>2</sub>D levels, mechanisms that initiate later apoptosis are activated <abbrgrp><abbr bid="B46">46</abbr></abbrgrp>. Depending on the extent and severity of the cellular injury, specific features of multiple organ failure (MOF) are initiated. Cells with the greatest oxidative requirements (e.g. brain, liver, kidney, myocardium and immunologic tissues) appear to be most vulnerable to O<sub>2</sub>D-induced injury or cell death.</p>
			<p>Although evidence of cellular and organ failure often appears at various time points after recovery from O<sub>2</sub>D, it has long been known that the relationship between O<sub>2</sub>D and acute death can be quantified. Crowell and Smith <abbrgrp><abbr bid="B4">4</abbr></abbrgrp> were the first to describe the effect of O<sub>2</sub>D in terms of a lethal dose (LD) effect. In their canine studies, O<sub>2</sub>Ds of 100 ml/kg or less were not lethal; O<sub>2</sub>Ds of 120 ml/kg led to an LD<sub>50 </sub>(i.e. a dose sufficient to kill 50% of the population studied); and O<sub>2</sub>Ds of 140 ml/kg or more were invariably fatal. A more precise quantification of the probability of death with increasing O<sub>2</sub>D in the same animal species was conducted by Dunham and coworkers <abbrgrp><abbr bid="B9">9</abbr></abbrgrp>, who established a complete probability of death function (Fig. <figr fid="F1">1a</figr>). Their studies noted an exponential relationship between probability of death and O<sub>2</sub>D, such that although the LD<sub>25 </sub>was at an O<sub>2</sub>D of 95.5 ml/kg, the LD<sub>50 </sub>lay at 113.5 ml/kg and the LD<sub>75 </sub>was at 126.5 ml/kg. This relationship has repeatedly been confirmed in dogs by more recent studies <abbrgrp><abbr bid="B37">37</abbr><abbr bid="B43">43</abbr></abbrgrp>. Studies in pigs <abbrgrp><abbr bid="B44">44</abbr></abbrgrp> have found a nearly identical relationship, although the LD<sub>50 </sub>for the pig is at a slightly lower O<sub>2</sub>D/kg (95 ml/kg; Fig. <figr fid="F1">1b</figr>), corresponding with values calculated by Hannon and coworkers <abbrgrp><abbr bid="B19">19</abbr></abbrgrp> in the same species. This difference between the two animals appears to reflect the greater percentage of adipose tissue in the pig as compared with the much leaner hound dog over the same range of body weight.</p>
			<fig id="F1">
				<title>
					<p>Figure 1</p>
				</title>
				<caption>
					<p>Probability of death as a function of oxygen debt</p>
				</caption>
				<text>
					<p>Probability of death as a function of oxygen debt. <b>(a) </b>Regression-derived relation of Kaplan&#8211;Meier probability of death as a function of increasing oxygen debt (O<sub>2</sub>D) in a canine O<sub>2</sub>D hemorrhagic shock model. Noted on the figure are the O<sub>2</sub>D values for lethal dose (LD)<sub>25 </sub>(i.e. a dose sufficient to kill 25% of the population studied), LD<sub>50</sub>, and LD<sub>75 </sub>probabilities. Points plotted along the regression line and its 95% confidence limits represent the actual Kaplan&#8211;Meier survival (S) values at 60 min of hemorrhage, or values at the time of death (D) for nonsurviving animals dying during the hemorrhage period or within 5 min of the 60 min hemorrhage sample. Note the good correlation of Kaplan&#8211;Meier points to the regression-estimated line. Reproduced with permission from Dunham and coworkers [9]. <b>(b) </b>Probability of death as a function of O<sub>2</sub>D in a pig O<sub>2</sub>D hemorrhagic shock model. Noted on the figure are the O<sub>2</sub>D values for LD<sub>25</sub>, LD<sub>50</sub>, and LD<sub>75 </sub>probabilities. Points plotted along the regression line and its 95% confidence limits represent the values of cumulative O<sub>2</sub>D (in ml/kg) at 60 min of hemorrhage for survivors (marked with circles) and nonsurvivors (marked with squares). Modified from Rixen and coworkers [44].</p>
				</text>
				<graphic file="cc3526-1"/>
			</fig>
			<p>To understand better the concept of hemorrhage-induced O<sub>2</sub>D accumulation and its repayment by volume infusion, experimental animal responses were recently studied by Siegel and coworkers <abbrgrp><abbr bid="B37">37</abbr></abbrgrp>. In that study 40 dogs were bled to achieve an O<sub>2</sub>D of 104 &#177; 7.6 ml/kg at 60 min after initiation of hemorrhage (estimated probability of death: 35.7% <abbrgrp><abbr bid="B9">9</abbr></abbrgrp>; actual death rate: 40%; shed blood volume [SBV]: 71.0 &#177; 6.8% of the animals' estimated total blood volume <abbrgrp><abbr bid="B37">37</abbr></abbrgrp>). Following hemorrhage, the animals were either given no initial resuscitation for 2 hours and then fully resuscitated with a volume of 5% colloid equivalent to 120% of their SBV. Alternatively, they were randomly assigned to initial resuscitation (R1) with a predetermined percentage of their SBV (again by infusing 5% colloid) equivalent to 8.4%, 15%, 30%, or 120% of their SBV. Then, after a 2 hour delay period in which no further volume resuscitation was given, the animals were given the remaining portion of the calculated 120% of the SBV lost during hemorrhage (delayed resuscitation: R2). This made the final quantity of volume replacement in each animal equal to 120% of the SBV. It is important to note that in those animals given no initial resuscitation, the O<sub>2</sub>D accumulation rate continued to rise either at the same (or slighly lower) rate as during the hemorrhage to or above the 90% mortality level, even though no further blood loss occurred. However, in all instances of R1, the O<sub>2</sub>D also continued to rise slightly until a critical quantity of R1 was given (at least 30% of the SBV), but the initial rate of recovery from the hemorrhage-induced O<sub>2</sub>D level was increased proportionately to the increase in R1. This relationship between the magnitude of initial resuscitation and the rate of O<sub>2</sub>D decrease was highly significant (<it>P </it>&lt; 0.001) and predicted later evidence of cell death and organ failure in 7-day postshock survivors <abbrgrp><abbr bid="B37">37</abbr></abbrgrp>. In contrast to the significant discrimination provided by O<sub>2</sub>D level, the simultaneously measured mean blood pressure responses were not found to be significant predictive of the adequacy of resuscitation <abbrgrp><abbr bid="B37">37</abbr></abbrgrp>.</p>
			<p>These canine data and parallel data obtained in the O<sub>2</sub>D pig model <abbrgrp><abbr bid="B44">44</abbr></abbrgrp> demonstrate that quantity of blood volume loss or replacement, blood pressure, and even cardiac output response do not reflect well the severity of shock or the effectiveness of volume resuscitation. However, these end-points are well defined in a quantitative manner by the magnitude of the O<sub>2</sub>D and by its rate of resolution during the resuscitation period, independent of species.</p>
		</sec>
		<sec>
			<st>
				<p>Metabolic correlates of oxygen debt</p>
			</st>
			<p>A considerable body of evidence has accumulated that strongly suggests, both in the animal setting <abbrgrp><abbr bid="B9">9</abbr><abbr bid="B37">37</abbr><abbr bid="B43">43</abbr><abbr bid="B44">44</abbr></abbrgrp> and in humans <abbrgrp><abbr bid="B29">29</abbr><abbr bid="B41">41</abbr><abbr bid="B47">47</abbr><abbr bid="B48">48</abbr><abbr bid="B49">49</abbr></abbrgrp>, that metabolic acids in blood or plasma are indices that reflect the degree of tissue hypoxia associated with hypovolemic ischemia. In this review the strict definition of base deficit (BD) &#8211; namely, a negative base excess &#8211; is used <abbrgrp><abbr bid="B29">29</abbr><abbr bid="B49">49</abbr><abbr bid="B50">50</abbr></abbrgrp>, with a decrease in base excess with increasing metabolic decompensation implying progressively negative values (e.g. -6 mmol/l to -10 mmol/l). However, because BD implies a negative base excess, only positive values of BD (without the minus sign) are used in the present review.</p>
			<p>As the concept of O<sub>2</sub>D as the key process determining outcome evolved, one of the major goals of experimental studies was to examine the relationship between lactate or BD and hemorrhage-induced O<sub>2</sub>D <abbrgrp><abbr bid="B9">9</abbr><abbr bid="B37">37</abbr><abbr bid="B43">43</abbr><abbr bid="B44">44</abbr></abbrgrp>. This significant relationship was repeatedly demonstrated in progressive hemorrhage, with increases in BD or lactate being paralleled by increases in O<sub>2</sub>D <abbrgrp><abbr bid="B9">9</abbr><abbr bid="B37">37</abbr><abbr bid="B43">43</abbr><abbr bid="B44">44</abbr></abbrgrp>. Similar significant relationships were noted between decreases in these metabolic variables; the O<sub>2</sub>D fell during volume resuscitation, regardless of whether the fluid was crystalloid, hypertonic saline, carbonate/gelatine, colloid, or whole blood <abbrgrp><abbr bid="B9">9</abbr><abbr bid="B37">37</abbr><abbr bid="B43">43</abbr><abbr bid="B44">44</abbr><abbr bid="B51">51</abbr></abbrgrp>. The rate of decline in O<sub>2</sub>D (and BD and lactate) was significantly more rapid when an oxygen-carrying solution of recombinant hemoglobin was employed for resuscitation <abbrgrp><abbr bid="B43">43</abbr></abbrgrp>. The relationship between BD and O<sub>2</sub>D tended to reflect better the effectiveness of increases in initial volume resuscitation, whereas lactate reflected the overall trend in effectiveness of resuscitation but with less discrimination <abbrgrp><abbr bid="B37">37</abbr></abbrgrp>. Very similar, albeit more variable, significant relationships (<it>P </it>&lt; 0.0001) for the two metabolic correlates of O<sub>2</sub>D were also noted in the pig model <abbrgrp><abbr bid="B44">44</abbr></abbrgrp>. The greater variability found in the pig may reflect a closer similarity to broad range of adipose tissue found in humans. Nevertheless, BD and lactate appear to correlate best with O<sub>2</sub>D in experimental hemorrhagic shock. This relationship is significant across species <abbrgrp><abbr bid="B9">9</abbr><abbr bid="B44">44</abbr></abbrgrp>.</p>
			<p>Finally, the relationship between O<sub>2</sub>D and BD can be used to address the problem of quantifying the effectiveness of small volume resuscitation during permissive hypotension. In other words, the paramedic, surgeon, or intensivist could resuscitate a hypovolemic patient to a level at which perfusion will yield a reduction in O<sub>2</sub>D that will allow critical organ oxidative metabolism to be maintained, at a blood pressure that will not encourage further hemorrhage until all open vessels are Although it is generally not practical to measure O<sub>2</sub>D in humans, a model for this approach using BD can be derived from animal data. In a canine O<sub>2</sub>D shock model, Siegel and coworkers <abbrgrp><abbr bid="B37">37</abbr></abbrgrp> demonstrated that animals that were effectively volume resuscitated moved progressively down the O<sub>2</sub>D/BD regression line to lower values compatible with a reduced probability of death <abbrgrp><abbr bid="B37">37</abbr></abbrgrp>. However, those animals that received inadequate volume resuscitation, particularly those that died during the 2 hour postshock period, moved to progressively higher points in the O<sub>2</sub>D/BD relationship. A similar but less quantifiable relationship was found for the O<sub>2</sub>D/lactate relationship.</p>
			<p>In this respect attention must be paid to the recent development of hemorrhagic shock models with a target endpoint of metabolic acidosis <abbrgrp><abbr bid="B52">52</abbr><abbr bid="B53">53</abbr><abbr bid="B54">54</abbr></abbrgrp>. Schultz <abbrgrp><abbr bid="B52">52</abbr></abbrgrp> and Powell <abbrgrp><abbr bid="B53">53</abbr></abbrgrp> and their groups studied bacterial translocation and restoration of central venous oxygen saturation after BD-guided hemorrhagic shock in rats. Also, DeAngeles and coworkers <abbrgrp><abbr bid="B54">54</abbr></abbrgrp> studied resuscitation from BD/lactate guided hemorrhagic shock with diaspirin cross-linked hemoglobin, blood, and hetastarch in sheep. Thus, the use of BD and lactate as clinically useful surrogates for O<sub>2</sub>D is strongly supported by experimentation in numerous animal species.</p>
		</sec>
		<sec>
			<st>
				<p>Metabolic correlates of oxygen debt in determining the severity of shock and the effectiveness of resuscitation in humans Lactate</p>
			</st>
			<p>The search for identifiable and easily measured metabolic correlates of shock that could be used to quantify the severity of human circulatory failure began with the pioneering work of Huckabee <abbrgrp><abbr bid="B55">55</abbr></abbrgrp>, Weil and Afifi <abbrgrp><abbr bid="B56">56</abbr></abbrgrp> and Harken <abbrgrp><abbr bid="B57">57</abbr></abbrgrp>. These studies confirmed that the circulating level of lactate provided an indication of the anaerobic component induced by the shock process. Bakker and coworkers <abbrgrp><abbr bid="B58">58</abbr></abbrgrp> reported evidence that the dependency on oxygen supply to body tissues was associated with increasing lactate levels.</p>
			<p>Table <tblr tid="T2">2</tblr> provides a summary of literature on lactate as an outcome predictor in adult multiple trauma patients based on a systematic Medline/Cochrane Library literature search, using the terms 'lactate' and 'multiple trauma'. Of 59 originally retrieved articles, 27 are specifically noted in the present review because they strictly deal with lactate as an outcome predictor in multiple trauma patients. In almost 3000 multiple trauma patients lactate was shown to predict outcome following postoperative complications, intracranial pressure, infection, sepsis, adult respiratory distress syndrome (ARDS), MOF, injury and hemorrhage severity, and survival.</p>
			<tbl id="T2">
				<title>
					<p>Table 2</p>
				</title>
				<caption>
					<p>Literature on lactate as an outcome predictor in adult multiple trauma patients</p>
				</caption>
				<tblbdy cols="3">
					<r>
						<c ca="left">
							<p>Author (year) [ref.]</p>
						</c>
						<c ca="center">
							<p>Trauma patients</p>
						</c>
						<c ca="left">
							<p>Outcome prediction</p>
						</c>
					</r>
					<r>
						<c cspan="3">
							<hr/>
						</c>
					</r>
					<r>
						<c ca="left">
							<p>Oestern <it>et al</it>. (1978/1979) [93,94]</p>
						</c>
						<c ca="center">
							<p>50</p>
						</c>
						<c ca="left">
							<p>Survival</p>
						</c>
					</r>
					<r>
						<c ca="left">
							<p>Brandl <it>et al</it>. (1989) [95]</p>
						</c>
						<c ca="center">
							<p>51</p>
						</c>
						<c ca="left">
							<p>Survival</p>
						</c>
					</r>
					<r>
						<c ca="left">
							<p>Siegel <it>et al</it>. (1990) [29]</p>
						</c>
						<c ca="center">
							<p>185</p>
						</c>
						<c ca="left">
							<p>Survival</p>
						</c>
					</r>
					<r>
						<c ca="left">
							<p>Woltmann and Kress (1991) [96]</p>
						</c>
						<c ca="center">
							<p>35</p>
						</c>
						<c ca="left">
							<p>Survival</p>
						</c>
					</r>
					<r>
						<c ca="left">
							<p>Nast-Kolb <it>et al</it>. (1992) [97]</p>
						</c>
						<c ca="center">
							<p>100</p>
						</c>
						<c ca="left">
							<p>Survival</p>
						</c>
					</r>
					<r>
						<c ca="left">
							<p>Waydhas <it>et al</it>. (1992) [98]</p>
						</c>
						<c ca="center">
							<p>100</p>
						</c>
						<c ca="left">
							<p>MOF, sepsis</p>
						</c>
					</r>
					<r>
						<c ca="left">
							<p>Roumen <it>et al</it>. (1993) [99]</p>
						</c>
						<c ca="center">
							<p>56</p>
						</c>
						<c ca="left">
							<p>MOF, ARDS</p>
						</c>
					</r>
					<r>
						<c ca="left">
							<p>Abramson <it>et al</it>. (1993) [61]</p>
						</c>
						<c ca="center">
							<p>76</p>
						</c>
						<c ca="left">
							<p>Survival</p>
						</c>
					</r>
					<r>
						<c ca="left">
							<p>Sauaia <it>et al</it>. (1994) [100]</p>
						</c>
						<c ca="center">
							<p>394</p>
						</c>
						<c ca="left">
							<p>MOF</p>
						</c>
					</r>
					<r>
						<c ca="left">
							<p>Dunham <it>et al</it>. (1994) [101]</p>
						</c>
						<c ca="center">
							<p>17</p>
						</c>
						<c ca="left">
							<p>MOF, ARDS</p>
						</c>
					</r>
					<r>
						<c ca="left">
							<p>Scalea <it>et al</it>. (1994) [102]</p>
						</c>
						<c ca="center">
							<p>30</p>
						</c>
						<c ca="left">
							<p>Intracranial pressure</p>
						</c>
					</r>
					<r>
						<c ca="left">
							<p>Manikis <it>et al</it>. (1995) [103]</p>
						</c>
						<c ca="center">
							<p>129</p>
						</c>
						<c ca="left">
							<p>MOF, survival</p>
						</c>
					</r>
					<r>
						<c ca="left">
							<p>Ivatury <it>et al</it>. (1995) [104]</p>
						</c>
						<c ca="center">
							<p>27</p>
						</c>
						<c ca="left">
							<p>Survival</p>
						</c>
					</r>
					<r>
						<c ca="left">
							<p>Regel <it>et al</it>. (1996) [105]</p>
						</c>
						<c ca="center">
							<p>342</p>
						</c>
						<c ca="left">
							<p>MOF</p>
						</c>
					</r>
					<r>
						<c ca="left">
							<p>Mikulaschek <it>et al</it>. (1996) [64]</p>
						</c>
						<c ca="center">
							<p>52</p>
						</c>
						<c ca="left">
							<p>Survival</p>
						</c>
					</r>
					<r>
						<c ca="left">
							<p>Charpentier <it>et al</it>. (1997) [106]</p>
						</c>
						<c ca="center">
							<p>20</p>
						</c>
						<c ca="left">
							<p>Survival</p>
						</c>
					</r>
					<r>
						<c ca="left">
							<p>Nast-Kolb <it>et al</it>. (1997) [107]</p>
						</c>
						<c ca="center">
							<p>66</p>
						</c>
						<c ca="left">
							<p>MOF</p>
						</c>
					</r>
					<r>
						<c ca="left">
							<p>Cairns <it>et al</it>. (1997) [85]</p>
						</c>
						<c ca="center">
							<p>24</p>
						</c>
						<c ca="left">
							<p>MOF</p>
						</c>
					</r>
					<r>
						<c ca="left">
							<p>Sauaia <it>et al</it>. (1998) [108]</p>
						</c>
						<c ca="center">
							<p>411</p>
						</c>
						<c ca="left">
							<p>MOF</p>
						</c>
					</r>
					<r>
						<c ca="left">
							<p>Blow <it>et al</it>. (1999) [109]</p>
						</c>
						<c ca="center">
							<p>116</p>
						</c>
						<c ca="left">
							<p>MOF, survival</p>
						</c>
					</r>
					<r>
						<c ca="left">
							<p>Claridge <it>et al</it>. (2000) [110]</p>
						</c>
						<c ca="center">
							<p>364</p>
						</c>
						<c ca="left">
							<p>Infection, survival</p>
						</c>
					</r>
					<r>
						<c ca="left">
							<p>Crowl <it>et al</it>. (2000) [111]</p>
						</c>
						<c ca="center">
							<p>77</p>
						</c>
						<c ca="left">
							<p>'Postoperative complications'</p>
						</c>
					</r>
					<r>
						<c ca="left">
							<p>Rixen <it>et al</it>. (2000) [77]</p>
						</c>
						<c ca="center">
							<p>80</p>
						</c>
						<c ca="left">
							<p>ARDS</p>
						</c>
					</r>
					<r>
						<c ca="left">
							<p>Ertel <it>et al</it>. (2001) [112]</p>
						</c>
						<c ca="center">
							<p>20</p>
						</c>
						<c ca="left">
							<p>Severity of hemorrhage, survival</p>
						</c>
					</r>
					<r>
						<c ca="left">
							<p>Cerovic <it>et al</it>. (2003) [113]</p>
						</c>
						<c ca="center">
							<p>98</p>
						</c>
						<c ca="left">
							<p>Injury severity, survival</p>
						</c>
					</r>
					<r>
						<c ca="left">
							<p>Egger <it>et al</it>. (2004) [114]</p>
						</c>
						<c ca="center">
							<p>26</p>
						</c>
						<c ca="left">
							<p>Injury severity</p>
						</c>
					</r>
				</tblbdy>
				<tblfn>
					<p>ARDS, acute respiratory distress syndrome; MOF, multiple organ failure.</p>
				</tblfn>
			</tbl>
			<p>Clinically, however, it is important to note that not all cases of hyperlactatemia are accompanied by acidosis, and neither are all cases of hyperlactatemia caused by O<sub>2</sub>D. Other metabolic dysfunctions may also be associated with hyper-lactatemia <abbrgrp><abbr bid="B59">59</abbr></abbrgrp> and can confuse assessment of the O<sub>2</sub>D effect, as can excessive alcohol intake and acute cocaine use. The most prominent group of patients with increased lactate levels in the absense of hypovolemia are patients with severe sepsis <abbrgrp><abbr bid="B28">28</abbr></abbrgrp>. However, diabetic patients with keto-acidosis have increased lactate, and in patients with impaired hepatic function lactate uptake may be reduced and lactate levels may rise. Of specific importance in patients resuscitated from hemorrhagic shock is that administration of large quantities of exogenous lactate (e.g. via mass infusion of Ringer's lactate) has been shown to increase lactate to levels significantly greater than those expected to result from the shock process alone <abbrgrp><abbr bid="B60">60</abbr></abbrgrp>. This clearly may distort interpretation of lactate levels as a clinical diagnostic tool. Furthermore, the reduction in oxygen delivery that induces O<sub>2</sub>D also causes other metabolic acids to accumulate in the extracellular/intravascular components, and so plasma lactate levels may not always quantitatively reflect the O<sub>2</sub>D process. Thus, the origin of a hyperlactatemia is clinically important and has direct implications for treatment choice.</p>
			<p>Although the use of lactate-free resuscitation fluids may become routine in the future <abbrgrp><abbr bid="B60">60</abbr></abbrgrp>, the current widespread use of Ringer's lactate may be a further reason why it remains unclear whether the lactate level on hospital admission is prognostically significant in multiple trauma patients. Several studies have noted the predictive value of the initial lactate level <abbrgrp><abbr bid="B58">58</abbr><abbr bid="B61">61</abbr><abbr bid="B62">62</abbr></abbrgrp>, but others have shown other variables to be equivalent <abbrgrp><abbr bid="B63">63</abbr></abbrgrp> or even better <abbrgrp><abbr bid="B29">29</abbr></abbrgrp> in outcome prediction. In contrast, more than one study found no significant correlation between initial lactate level and posttrauma outcome <abbrgrp><abbr bid="B49">49</abbr><abbr bid="B64">64</abbr><abbr bid="B65">65</abbr><abbr bid="B66">66</abbr></abbrgrp>. Nevertheless, in a study of 375 trauma patients admitted directly from the scene of injury to a level I trauma center <abbrgrp><abbr bid="B62">62</abbr></abbrgrp>, simultaneously obtained arterial and peripheral venous lactate levels were shown to be highly correlated, and a lactate threshold level of &gt; 2 mmol/l appeared to predict the likelihood of the Injury Severity Score (ISS) being 13 or greater with a high degree of accuracy. Thus, lactate appears to represent a good triage tool.</p>
			<sec>
				<st>
					<p>Base deficit</p>
				</st>
				<p>In the search for a more precise quantifier of severity of posttrauma hemorrhagic shock, Siegel <abbrgrp><abbr bid="B29">29</abbr></abbrgrp>, Rutherford <abbrgrp><abbr bid="B47">47</abbr></abbrgrp>, Davis <abbrgrp><abbr bid="B50">50</abbr></abbrgrp>, and Rixen <abbrgrp><abbr bid="B49">49</abbr></abbrgrp> and their groups studied the value of BD as a single predictor of the severity of posttrauma hemorrhagic shock. The findings of those studies, which represent more than 8000 trauma patients with varying severities of injury, are shown in Fig. <figr fid="F2">2</figr>. All of the studies indicate that BD can be used to stratify trauma patients with respect to their likelihood of dying, and suggest that BD can also be used to provide an index of the effectiveness of resuscitation in humans as well as in experimental animals.</p>
				<fig id="F2">
					<title>
						<p>Figure 2</p>
					</title>
					<caption>
						<p>Mortality as a function of base deficit</p>
					</caption>
					<text>
						<p>Mortality as a function of base deficit. Mortality curves presented as a function of the admission base deficit in more than 8000 multiple trauma patients derived from four independent studies. Modified from Zander [89].</p>
					</text>
					<graphic file="cc3526-2"/>
				</fig>
				<p>With respect to studies in patients with greater injury severity, Table <tblr tid="T3">3</tblr> provides a summary of literature on BD as an outcome predictor in adult multiple trauma patients based on a systematic Medline/Cochrane Library literature search using the terms 'base excess' or 'base deficit' and 'multiple trauma'. From 34 originally retrieved articles, 15 are noted because they strictly deal with base excess/BD as an outcome predictor in adult multiple trauma patients. Among the 6567 multiple trauma patients represented in Table <tblr tid="T3">3</tblr>, BD was found to predict outcomes in terms of hemodynamics, transfusion requirements, metabolism, coagulation, volume deficit, neutrophil chemiluminescence and CD11b expression, complement activation, acute lung injury, ARDS, hepatic dysfunction, MOF, and survival.</p>
				<tbl id="T3">
					<title>
						<p>Table 3</p>
					</title>
					<caption>
						<p>Literature on base excess/base deficit as an outcome predictor in adult multiple trauma patients</p>
					</caption>
					<tblbdy cols="3">
						<r>
							<c ca="left">
								<p>Author (year) [ref.]</p>
							</c>
							<c ca="center">
								<p>Trauma patients</p>
							</c>
							<c ca="left">
								<p>Outcome prediction</p>
							</c>
						</r>
						<r>
							<c cspan="3">
								<hr/>
							</c>
						</r>
						<r>
							<c ca="left">
								<p>Oestern <it>et al</it>. (1978/1979) [93,94]</p>
							</c>
							<c ca="center">
								<p>50</p>
							</c>
							<c ca="left">
								<p>Survival</p>
							</c>
						</r>
						<r>
							<c ca="left">
								<p>Davis <it>et al</it>. (1988) [41]</p>
							</c>
							<c ca="center">
								<p>209</p>
							</c>
							<c ca="left">
								<p>Blood pressure, severity of volume deficit</p>
							</c>
						</r>
						<r>
							<c ca="left">
								<p>Siegel <it>et al</it>. (1990) [29]</p>
							</c>
							<c ca="center">
								<p>508</p>
							</c>
							<c ca="left">
								<p>Survival</p>
							</c>
						</r>
						<r>
							<c ca="left">
								<p>Sauaia <it>et al</it>. (1994) [100]</p>
							</c>
							<c ca="center">
								<p>394</p>
							</c>
							<c ca="left">
								<p>MOF</p>
							</c>
						</r>
						<r>
							<c ca="left">
								<p>Regel <it>et al</it>. (1996) [105]</p>
							</c>
							<c ca="center">
								<p>342</p>
							</c>
							<c ca="left">
								<p>MOF</p>
							</c>
						</r>
						<r>
							<c ca="left">
								<p>Botha <it>et al</it>. (1997) [48]</p>
							</c>
							<c ca="center">
								<p>17</p>
							</c>
							<c ca="left">
								<p>Neutrophil CD11b expression</p>
							</c>
						</r>
						<r>
							<c ca="left">
								<p>Davis <it>et al</it>. (1998) [115]</p>
							</c>
							<c ca="center">
								<p>674</p>
							</c>
							<c ca="left">
								<p>Survival</p>
							</c>
						</r>
						<r>
							<c ca="left">
								<p>Krishna <it>et al</it>. (1998) [116]</p>
							</c>
							<c ca="center">
								<p>40</p>
							</c>
							<c ca="left">
								<p>Survival</p>
							</c>
						</r>
						<r>
							<c ca="left">
								<p>Fosse <it>et al</it>. (1998) [117]</p>
							</c>
							<c ca="center">
								<p>108</p>
							</c>
							<c ca="left">
								<p>Complement activation</p>
							</c>
						</r>
						<r>
							<c ca="left">
								<p>Brown <it>et al</it>. (1999) [118]</p>
							</c>
							<c ca="center">
								<p>12</p>
							</c>
							<c ca="left">
								<p>PMN chemiluminescence</p>
							</c>
						</r>
						<r>
							<c ca="left">
								<p>Eberhard <it>et al</it>. (2000) [119]</p>
							</c>
							<c ca="center">
								<p>102</p>
							</c>
							<c ca="left">
								<p>Acute lung injury</p>
							</c>
						</r>
						<r>
							<c ca="left">
								<p>Rixen <it>et al</it>. (2000) [77]</p>
							</c>
							<c ca="center">
								<p>80</p>
							</c>
							<c ca="left">
								<p>ARDS</p>
							</c>
						</r>
						<r>
							<c ca="left">
								<p>Rixen <it>et al</it>. (2001) [49]</p>
							</c>
							<c ca="center">
								<p>2069</p>
							</c>
							<c ca="left">
								<p>Hemodynamic, transfusion requirements, metabolism, coagulation, survival</p>
							</c>
						</r>
						<r>
							<c ca="left">
								<p>Harbrecht <it>et al</it>. (2001) [120]</p>
							</c>
							<c ca="center">
								<p>1962</p>
							</c>
							<c ca="left">
								<p>Hepatic dysfunction</p>
							</c>
						</r>
					</tblbdy>
					<tblfn>
						<p>ARDS, acute respiratory distress syndrome; MOF, multiple organ failure.</p>
					</tblfn>
				</tbl>
				<p>Although multiple trauma patients were not included exclusively, attention must be given to the studies conducted by Mackersie <abbrgrp><abbr bid="B67">67</abbr></abbrgrp> and Davis <abbrgrp><abbr bid="B68">68</abbr></abbrgrp> and their groups in more than 6000 trauma patients; those investigators showed that BD may also be considered an indicator of significant abdominal injury. Furthermore, the admission BD was also found to be an important prognostic indicator with respect to injury severity and death in pediatric <abbrgrp><abbr bid="B69">69</abbr><abbr bid="B70">70</abbr><abbr bid="B71">71</abbr></abbrgrp> and elderly <abbrgrp><abbr bid="B72">72</abbr></abbrgrp> trauma populations.</p>
				<p>However, Siegel and coworkers <abbrgrp><abbr bid="B29">29</abbr></abbrgrp> demonstrated that BD alone did not provide the best prediction of posttrauma mortality, and that it could be quantitatively coupled with an estimate of head injury, such as that provided by the Glasgow Coma Scale (GCS). The interaction between GCS score, BD, and mortality is illustrated in Fig. <figr fid="F3">3a</figr>, which was developed from findings in 185 patients whose major injury was blunt hepatic trauma. Also shown is the relationship of predicted to observed deaths based on the regression model (Fig. <figr fid="F3">3b</figr>). This relationship was verified in an independent group of 323 multiple trauma patients with pelvic fracture <abbrgrp><abbr bid="B29">29</abbr></abbrgrp>. Indeed, the substantial differences in the proportion of trauma patients with severe head injury in the studies shown in Fig. <figr fid="F2">2</figr> may account for the variation in the LD<sub>25 </sub>and LD<sub>50 </sub>points seen in these different clinical studies.</p>
				<fig id="F3">
					<title>
						<p>Figure 3</p>
					</title>
					<caption>
						<p>Interaction between base excess, Glasgow Coma Scale (GCS) and mortality</p>
					</caption>
					<text>
						<p>Interaction between base excess, Glasgow Coma Scale (GCS) and mortality. <b>(a) </b>Linear logistic model for predicting mortality from GCS and admission extracellular base excess (BEA) for 185 patients with blunt traumatic hepatic injury (&#955; = - 0.21 [GCS] - 0.147 [BEA<sub>ECF</sub>] + 0.285; <it>P </it>&lt; 0.0001 for model). <b>(b) </b>Predicted versus observed mortality in linear logistic model from GCS and BEA for patients with blunt traumatic hepatic injury. ECF, extracellular fluid. Reproduced with permission from Siegel and coworkers [29].</p>
					</text>
					<graphic file="cc3526-3"/>
				</fig>
				<p>The validity of the use of BD in conjunction with other predictive variables was extended to a larger series of 2069 multiple trauma patients included in the German Trauma Society registry <abbrgrp><abbr bid="B73">73</abbr></abbrgrp>. That study validated the probability of death relationship between BD and GCS, but it also showed that additional improvement in the sensitivity/specificity receiver operating characteristic (ROC) curve (ROC = 0.904, with greatest sensitivity and specificity of 82.3% and 83.0%, respectively) could be obtained by the addition of prothrombin time, age, and ISS to the equation. In this multifactorial analysis, the admission BD was one of the five best predictors for outcome (BD, GCS, age, prothrombin time, and ISS). Each of these five variables contributed significantly to the derived multifactorial regression model:</p>
				<p>pDeath = 1/1 + e<sup>{-(intercept + &#946;1[BD] + &#946;2[GCS] + &#946;3[prothrombin time] + &#946;4[age] + &#946;5[ISS])}</sup></p>
				<p>Where pDeath = probability of death, BD = hospital admission BD, intercept = -0.1551, &#946;1 = 0.0840, &#946;2 = -0.2067, &#946;3 = -0.0359, &#946;4 = 0.0438, and &#946;5 = 0.0252.</p>
				<p>However, when the three physiologic variables and age were added sequentially into the regression model, the ISS contributed only an additional 0.4% to the correctness of prediction. These data suggest that, because the full extent of the patient's injuries and their severities may not be readily evident on hospital admission, a reasonable immediate estimate of severity can be made on the basis of the patient's physiologic/metabolic response adjusted for age.</p>
				<p>This prediction model was validated prospectively in an independent set of 1745 additional multiple trauma patients included in the German Trauma Society registry <abbrgrp><abbr bid="B73">73</abbr></abbrgrp>. In both the development set (2069 patients) and in the independent validation set (1745 additional multiple trauma patients), the probability of death predicted by the model was compared with the observed mortality rate. The validation set yielded an area under the ROC curve for the model of 0.901, with greatest sensitivity and specificity of 82.2% and 83.3%, respectively (Fig. <figr fid="F4">4a</figr>). Using the goodness-of-fit test, there was no significant difference between the observed and predicted distributions of mortality. The model predicted the numbers of observed and expected events equally well across all strata in the development and validation sets (Fig. <figr fid="F4">4b</figr>), and therefore the model appeared to be well calibrated in both development and validation sets of multiple trauma patients.</p>
				<fig id="F4">
					<title>
						<p>Figure 4</p>
					</title>
					<caption>
						<p>Discrimination and calibration of the multivariate outcome prediction model</p>
					</caption>
					<text>
						<p>Discrimination and calibration of the multivariate outcome prediction model. <b>(a) </b>Discrimination. Receiver operating characteristic curve of the multivariate outcome prediction model based on base deficit, Glasgow Coma Scale score, prothrombin time, age and Injury Severity Score, compared with that derived from the Trauma and Injury Severity Score (TRISS) in the validation set of 1745 multiple trauma patients. The diagonal line corresponds to a test that is sensitive or specific just by chance. The area under the curve for the multivariate outcome prediction model is 0.901 and that for the TRISS score is 0.866. <b>(b) </b>Calibration. Predicted versus observed mortality for the multivariate outcome prediction model and the TRISS score in the validation set of 1745 multiple trauma patients.</p>
					</text>
					<graphic file="cc3526-4"/>
				</fig>
				<p>The validation of this outcome prediction model for multiple trauma patients was completed by its comparison with the predictive ability of an international gold standard, namely the Trauma and Injury Severity Score (TRISS) score <abbrgrp><abbr bid="B74">74</abbr></abbrgrp>. In the validation set of patients discussed above, TRISS discrimination yielded an area under the ROC curve of 0.866 (Fig. <figr fid="F4">4a</figr>). Although this difference in overall predictive ability may appear to be small, when the predicted versus observed death rates are examined in detail it is apparent that there is under-prediction by the TRISS score from the 30% to the 90% mortality range, which is the region of greatest clinical interest (Fig. <figr fid="F4">4b</figr>). Using the goodness-of-fit test <abbrgrp><abbr bid="B75">75</abbr></abbrgrp> there was a significant difference between the observed and predicted mortality distributions in the TRISS score. Thus, the TRISS score did not predict well the number of observed events across all strata as compared with the prediction model based on BD, GCS, prothrombin time, age, and ISS. This weakness of TRISS and other scoring systems based on the Revised Trauma Score and ISS alone, without inclusion of specific patient metabolic data, has been extensively examined in comparison with other systems and is consistent with these observations <abbrgrp><abbr bid="B76">76</abbr></abbrgrp>.</p>
				<p>The use of BD allows critical thresholds to be established by which the clinician can be alerted to the beginning of a deleterious trend in O<sub>2</sub>D or to progression of putative shock to a condition of life-threatening potential. In this regard, both the studies conducted by Davis <abbrgrp><abbr bid="B41">41</abbr></abbrgrp> and Siegel <abbrgrp><abbr bid="B29">29</abbr></abbrgrp> and their groups, as well as the more recent multicenter trial data <abbrgrp><abbr bid="B49">49</abbr></abbrgrp>, have shown that a critical threshold exists at or slightly above a BD of 6.0 mmol/l (Fig. <figr fid="F2">2</figr>). When the probability of death is analyzed as a function of BD <abbrgrp><abbr bid="B29">29</abbr></abbrgrp>, this is the point at which the exponential rise in probability of death begins, and it is also the point in the experimentally derived BD/O<sub>2</sub>D relationship <abbrgrp><abbr bid="B9">9</abbr></abbrgrp> at which the O<sub>2</sub>D begins to rise exponentially. In contrast to the animal studies, in posttrauma humans, where there is frequently an associated brain injury, the observed mortality induced by a rise in BD to 6.0 mmol/l is also a function of the level of impairment in GCS, rising from a probability of death of 15% with a GCS score of 15 to 30% with a GCS score of 9 and 45% at a GCS score of 6 (Fig. <figr fid="F3">3</figr>). Thus, the overall probability of death both in the initial study conducted by Siegel and coworkers <abbrgrp><abbr bid="B29">29</abbr></abbrgrp> and in the more recent report by Rixen and coworkers <abbrgrp><abbr bid="B49">49</abbr></abbrgrp> exceeded 25% (LD<sub>25</sub>) when the admission BD was increased to 6.0 mmol/l or greater, independent of GCS score.</p>
				<p>Furthermore, change in BD over time is an important variable in the prediction of outcome following hypovolemic post-traumatic shock. Rixen and coworkers <abbrgrp><abbr bid="B49">49</abbr></abbrgrp> noted that the change in BD between hospital and intensive care unit (ICU) admission was a further significant predictor of outcome. Those investigators analyzed the development of BD over the period from hospital to ICU admission with respect to mortality rate. The trauma patients were subdivided into two groups at the time of hospital and subsequent ICU admission with respect to the LD<sub>25 </sub>threshold value of 6 mmol/l, which was previously noted to be the critical level <abbrgrp><abbr bid="B29">29</abbr><abbr bid="B41">41</abbr><abbr bid="B49">49</abbr></abbrgrp>; patients with a BD below 6 mmol/l were considered to have 'good prognosis', and patients with a BD of 6 mmol/l or greater were considered to have 'bad prognosis'. Patients with a BD below 6 mmol/l on hospital admission and who subsequently had a BD below 6 mmol/l on ICU admission had the lowest mortality rate (13%). Patients with a BD above 6 mmol/l on hospital admission and who subsequently had a BD of 6 mmol/l or greater on ICU admission had the highest mortality rate (45%; <it>P </it>&lt; 0.0001). Finally, the level of admission BD was shown to predict the probability of development of post-traumatic ARDS, with the incidence rising exponentially above a BD of 6.6 mmol/l <abbrgrp><abbr bid="B77">77</abbr></abbrgrp>.</p>
			</sec>
		</sec>
		<sec>
			<st>
				<p>Conclusion</p>
			</st>
			<p>The data reported above strongly indicate a need to add quantitative estimates of the effectiveness of perfusion and VO<sub>2 </sub>to hemorrhagic shock studies. Currently, indirect measurement techniques that reflect cellular oxygen utilization and perfusion either systemically (lactate and BD) or locally (gastric intramucosal pH and microdialysis <abbrgrp><abbr bid="B78">78</abbr></abbrgrp>) predominate. It would be ideal to measure O<sub>2</sub>D at the cellular level as an end-point of experimental and clinical hemorrhagic shock. The muscle beds, subcutaneous tissue, and even skin have been advocated as sites at which perfusion may be more directly measured at the tissue level. Hartmann and coworkers <abbrgrp><abbr bid="B79">79</abbr></abbrgrp> found good correlations between subcutaneous and transcutaneous partial oxygen tension (PO<sub>2</sub>), and with gastric tonometry in pigs. Subcutaneous PO<sub>2 </sub>tissue probes have been used in the experimental setting <abbrgrp><abbr bid="B80">80</abbr></abbrgrp> as well as in severely injured patients <abbrgrp><abbr bid="B81">81</abbr><abbr bid="B82">82</abbr></abbrgrp>. McKinley and coworkers <abbrgrp><abbr bid="B83">83</abbr></abbrgrp> studied skeletal muscle PO<sub>2</sub>, partial carbon dioxide tension, and pH using fiberoptic technology in hemorrhaged dogs, and Knudson and coworkers <abbrgrp><abbr bid="B84">84</abbr></abbrgrp> examined the posthemorrhage and resuscitation oxygen tension response in muscle and liver in pigs. Another technique that holds promise for the future is that of near infrared spectroscopy <abbrgrp><abbr bid="B85">85</abbr></abbrgrp>. All of these techniques, along with others currently being developed, may move the endpoints of hemorrhagic shock models to the organ, cellular, and subcellular levels. However, at present these newer technologies require the use of relatively complex and expensive or invasive methodologies, whereas relatively inexpensive handheld devices now exist for rapid field, emergency room, or ICU determinations of lactate and BD <abbrgrp><abbr bid="B86">86</abbr></abbrgrp>.</p>
			<p>However, it is clear from experimental <abbrgrp><abbr bid="B87">87</abbr></abbrgrp> and clinical studies <abbrgrp><abbr bid="B81">81</abbr><abbr bid="B88">88</abbr></abbrgrp> that some vascular beds may be more vasoconstricted than others; the skin, subcutaneous and muscle tissue, and intestinal perfusion are sacrificed to preserve cardiac, central nervous system, renal, and hepatic perfusion. Consequently, probes placed in the physiologically expendable tissues may not reflect the true total body situation, and especially vital organ O<sub>2</sub>Ds. This contention is supported by the findings reported by Siegel and coworkers <abbrgrp><abbr bid="B37">37</abbr></abbrgrp>, which showed that adequate resuscitation with a volume of 30% of SBV could preserve essential organ histology and physiologic function from an LD<sub>35&#8211;40 </sub>of O<sub>2</sub>D without increasing the cardiac index above control preshock levels. Only when the remaining volume of delayed full resuscitation was given did the cardiac index and oxygen consumption rise to hyperdynamic levels, suggesting that a large percentage of this hyperdynamic state is devoted to repayment of the O<sub>2</sub>D in less essential organs, which collectively represent the greater portion of body cell mass.</p>
			<p>Nevertheless, both animal and clinical data strongly suggest that the overall O<sub>2</sub>D and/or its metabolic correlates (BD and lactate) better reflect the severity of shock than do currently available measures of local tissue or organ perfusion. This is shown by the probability of death curves for individual species, and by the relative consistency of LD<sub>25 </sub>and LD<sub>50 </sub>points for BD across species and especially in humans, when adjusted for GCS and other significant variables.</p>
			<p>We require a more precise technique for assessing total body O<sub>2</sub>D, or at least that of critical organs, that can easily and repeatedly be applied in the clinical setting. Until such a technique becomes available the use of BD, either alone or in combination with GCS score and other significant variables of high predictive accuracy (e.g. prothrombin time and age), represents the best present system for clinical assessment of shock severity and success of resuscitation. These variables may be used to obtain information rapidly on a patient's level of compensation in response to posttrauma or hemorrhagic shock either by immediate reference to a predetermined graph (Fig. <figr fid="F3">3</figr>) or by entry of data into a handheld computer for computation of an estimate of probability of death using the regression equation shown above. This would facilitate clinical decision making at the bedside, in the emergency room, or in the ICU.</p>
			<p>In conclusion, the data examined in this review strongly indicate that there is a need to add quantitative estimates of O<sub>2</sub>D and resulting metabolic acidosis to clinical studies, and that these variables should be considered in the management of patients sustaining severe hemorrhagic shock. The data also suggest that evaluation of metabolic correlates of the total body O<sub>2</sub>D (BD and, to a lesser extent, lactate) may be more useful in quantifying the responses of trauma or nontrauma patients to hemorrhage than are estimates of blood loss, quantitative measurements of volume replacement, or blood pressure and heart rate. Finally, we believe that further research based on the parameters of oxygen utilization and O<sub>2</sub>D will achieve even better, clinically suitable variables by which to assess the magnitude and severity of human stress physiology and to quantify the effectiveness of resuscitation therapies in the multiple trauma patient or the patient with life-threatening hemorrhage from a gastrointestinal lesion.</p>
		</sec>
		<sec>
			<st>
				<p>Abbreviations</p>
			</st>
			<p>ARDS = acute respiratory distress syndrome; BD = base deficit; GCS = Glasgow Coma Scale; ICU = intensive care unit; ISS = Injury Severity Score; LD = lethal dose; MOF = multiple organ failure; O<sub>2</sub>D = oxygen debt; PO<sub>2 </sub>= partial oxygen tension; ROC = receiver operating characteristic; SBV = shed blood volume; TRISS = Trauma and Injury Severity Score; VO<sub>2 </sub>= oxygen consumption.</p>
		</sec>
		<sec>
			<st>
				<p>Competing interests</p>
			</st>
			<p>The author(s) declare that they have no competing interests.</p>
		</sec>
		<sec>
			<st>
				<p>Authors' contributions</p>
			</st>
			<p>Both authors (DR and JHS) made substantial contributions to the conception and design of this review, and to the acquisition, analysis, and interpretation of data. Furthermore, both authors were involved in drafting the article and revising it critically for important content, and gave final approval of the version to be published.</p>
		</sec>
	</bdy>
	<bm>
		<ack>
			<sec>
				<st>
					<p>Acknowledgements</p>
				</st>
				<p>Supported in part by the Deutsche Forschungsgemeinschaft in a grant to Dr Rixen and by the New Jersey Medical School: Wesley J. Howe Professorship in Trauma Surgery held by Dr Siegel.</p>
			</sec>
		</ack>
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