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18 Perioperative Fluid Management andVolume Assessment
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Dynamic Parameters
Classically in mechanically ventilated patients, during inspiration positive intra­thoracic pressure decreases venous return to the heart, leading to a reduction in right ventricular SV, resulting in reduced left ventricular preload and SV.During expiration, the opposite is observed where both right ventricular and left ven­tricular SV increase. These cyclic changes may be accentuated in patients who are hypovolemic, and contribute to evaluate volume responsiveness [28]. More modern investigations focus on pulse pressure variation (PPV), systolic pressure variability (SPV), stroke volume variation (SVV), and pulse oximetry plethys­mography variability index (PVI), and their ability to predict uid responsive­ness [29].
Pulse Pressure Variation
PPV is calculated using the following equation:
()
PPV along with SVV have been documented in several small series, and their value for detecting uid responsiveness is promising [30]. PPV can be less reliable during spontaneous ventilation, low tidal volumes in mechanically ventilated patients, high-frequency ventilation such as jet ventilation, presence of pulmonary hypertension, limited lung compliance, altered chest compliance such as open chest conditions, aberrant cardiac rhythms, and elevated intraabdominal pressure [9].
PPmax PPmin
 
PPmax PPmin
%
=
− +
2
 
×
 
Systolic Pressure Variability
SPV is the difference between the maximal and minimal systolic blood pressure (SBP) following a positive pressure breath and can be calculated using measure­ments from an arterial waveform. In patients receiving positive pressure ventilation, systolic pressure variability has utility in assessing volume responsiveness. SPV can be calculated using this equation:
290
S
   
S
 
 
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SBPmax SBPmin
PV mmHg
()
In intravascularly depleted patients, a signicant SPV can be expected, and an SPV >10mmHg is consistent with uid responsiveness [31, 32].
=
SBPmax SBPmin
 
− +
2
 
R. Bangalore et al.
Stroke Volume Variation
SVV is given by the following equation:
VV
SV can be estimated using invasive or non-invasive hemodynamic monitoring devices including echocardiography. Some devices that provide direct or indirect SVV measurements during the perioperative period include, LiDCO LXi™, Masimo Corporation, Irvine, CA, USA), FloTrac/Vigileo® and ClearSight™ (Edwards Lifesciences, Irvine, CA, USA), PiCCO (Pulse Index Contour Cardiac Output, Getinge, Wayne, NJ, USA), Argos® (Retia Medical, White Plains, NY, USA).
These devices tend to provide a much less invasive method compared to pulmo­nary artery (PAC) or Swan Ganz catheter derived measurements of CO, and have been shown to measure similar mean CO values, albeit with inconsistencies in mea­suring the dynamic trends among various techniques [33].
The FLoTrac® needs a specic transducer whereas the Argos® monitor does not require a special transducer as it analyzes information from the regular arterial transducer and incorporates its proprietary Multi-Beat Analysis (MBA late the cardiac output and other hemodynamic variables. The ClearSight™ depends on a noninvasive nger cuff. As with some other measurements, complex computation is essential to calculate SVV, potentially introducing errors in the estimate [34].
Like PPV, an SVV > 13% can predict volume responsiveness [29, 31]. Although, in mechanically ventilated patients with tidal volume <6mL/kg, SVV may have limited ability in recognizing a uid responder [36]. By increasing the tidal volume from 6 to 8mL/kg and causing a greater impact to preload, volume responsiveness can be identied using the absolute change in SVV. The threshold for ΔSVV is
2.5% with a sensitivity of 81% and specicity of 80% [35, 36]. The presence of normal sinus rhythm, absence of valvular heart disease, relatively normal lung and chest compliance, and normal intraabdominal pressure are generally required for SVV to accurately predict uid responsiveness.
Plethysmographic Variability Index (PVI) and Perfusion Index (PI).
()
SVmaxSVmin
=
%
SVmean
×
) to calcu-
PV
 
 
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Perfusion index (PI) is the ratio of pulsatile blood ow to the non-pulsatile blood in peripheral tissues, and most pulse oximetry devices can display PI continuously. With PI values, PVI can be obtained using this equation:
291
%
=
PImaxPImin
PImax
×
I
PVI is a dynamic index between 0 and 100 with higher values indicating increased variability, signaling a higher likelihood that a patient may be uid responsive [3739].
Nevertheless PPV and SVV are more widely employed. One meta-analysis focusing these two indexes indicated reduced mortality (odds ratio 0.55, 95% CI
0.30–1.03) and ICU-related costs (1619, 95% CI 2174 to −1063 USD) for criti- cally ill patients [40, 41].
()
Clinical Tests forFluid Responsiveness
Passive Leg Raising
The passive leg raising (PLR) test allows a clinician to directly observe the response to augmented cardiac output with an increase in preload. To accurately test for uid responsiveness, the patient is positioned in a semi-recumbent position with the head of the bed at a 45° angle as shown in Fig.18.2 with legs extended, and a baseline CO is obtained. The bed is then positioned to elevate the legs, and CO is measured again within a minute. This positional shift mobilizes approximately 300cc of uid from the legs to the central venous system, thereby increasing the preload to the right heart, which would increasing the CO by 10% in volume-responsive patients [9]. CO measurement is superior to arterial blood pressure in predicting hemody­namics that will improve with volume expansion [40, 41].
Fig. 18.2 Passive leg raising test. The patient is positioned with head of the bed raised to 45° elevating the torso while the legs remain at. The position is shifted to elevate the legs 45° above the heart to augment preload. The cardiac output is measured at baseline (on the left) which is compared to the cardiac output with change in position (on the right)
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End-Expiratory Occlusion Test
In situations where PLR cannot be performed, the end-expiratory occlusion (EEO) test is an alternative for volume assessment during passive ventilation. At the end of expiration, ventilation is paused for 15–30s while evaluating for any changes in cardiac output. With a ventilatory pause, there is a physiologic increase in venous return to the right side leading to increased preload and, in turn, an augmented CO.If the measured CO is greater than 5% from baseline, it is indicative of uid responsiveness [42, 43]. EEO may be able to detect volume responsiveness during the intraoperative and postoperative periods independent of ventilatory settings and the duration of the expiratory hold [43]. Nevertheless it is not a standard procedure in most services yet.
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Echocardiography
Both transesophageal (TEE) and transthoracic (TTE) echocardiography have been around for decades, yet they are not recommended by guidelines nor are they rou­tinely employed in the perioperative period, except for specic interventions nota­bly concerning cardiac surgery. Both suffer from quality limitations, compared to CT and magnetic resonance imaging, and TEE utilization can be followed by upper gastrointestinal injuries. Imaging shortcomings have been substantially improved by more modern three-dimensional echocardiography (3D-TEE).
Echocardiographic measurement of left ventricular end-diastolic volume can be used as a surrogate for preload, and the subaortic velocity time integral (VTI) mea­sured at the left ventricular outow tract (LVOT) can reect SV and thus help assess volume responsiveness. Additionally, ultrasonographic examination of the IVC can also help evaluate uid status and gauge uid responsiveness.
LVOT andVTI
In the parasternal long-axis view, the LVOT diameter can be measured at 0.5cm into the ventricle from the aortic cusp insertion (Fig. 18.3). In the apical ve­chamber view, a doppler signal placed across the LVOT and tracing along the ejec­tion signal is calculated to be the VTI representing the blood ow during the cardiac cycle (Fig.18.4). Similar to SV, variation in VTI is observed during the cardiac cycle and is calculated using the following equation.
TI variation
%
()
VTImax VTImin
=
VTImax VTImin
 
− +
2
 
×
 
Cardiac Output Stroke VolumeHeart Rate
S
TI
LV
 
 
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Fig. 18.3 Parasternal long-axis view. The diameter of the left ventricular outow tract is measured as shown in red
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VTImax represents the highest value while VTImin represents the lowest value measured during 10 cardiac cycles.
In septic mechanically ventilated patients, a VTI variation of 15.9% can detect volume responsiveness with a sensitivity of 87.5% and specicity of 95% [44]. LVOT VTI can also be used with the PLR test, and an increase in VTI >12% is indicative of volume responsiveness [45]. Additionally, a series of calculations using the LVOT diameter and VTI can be used to estimate the CO (Fig.18.4).
troke VolumeLVOT areaLVOTV
OT area
LVOT diameter
=
π
2
IVC Diameter
From the subxiphoid view, the IVC diameter can be visualized (Fig.18.5). It is a static parameter that approximates the CVP or right atrial pressure. An IVC diam­eter of <2.1cm is consistent with right atrial pressures between 0 and 5mmHg and a diameter >2.1cm is indicative of pressure between 10 and 20mmHg. However,
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Right
Ventricle
Right
Atrium
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Left
Ventricle
Left
Atrium
Time
Velocity
Fig. 18.4 Apical ve-chamber view with doppler across left ventricular outow tract (Top). Doppler placed as shown in red to obtain velocity time integral by tracing around the curve (Bottom)
like CVP and PAOP, the diameter of IVC, when used alone, is a poor marker for volume responsiveness [21]. On the contrary, the variance of the inferior vena cava throughout the respiratory cycle, as a dynamic marker, can be used to evaluate vol­ume responsiveness [46]. The collapsibility of the IVC can be calculated using the equation:
Velocity Time
Integral
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Fig. 18.5 Inferior Vena Cava in the subcostal view with doppler. (Top) M-Mode view of inferior vena cava with maximum and minimal diameter. (Bottom) Dmax Maximum diameter, Dmin Minimum diameter
where Dmax is the maximal diameter and Dmin is the minimal diameter of the IVC during the respiratory cycle.
IVCCollapsibility =
   
 
DD
maxmin
+
DD
maxmin
2
  
×
1000
 
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IVC diameter and collapsibility have been shown to accurately estimate CVP and right atrial pressure, particularly in spontaneously breathing patients [47]. The diagnostic accuracy is less consistent in mechanically ventilated patients, making this assessment less useful for patients under general anesthesia. The collapsibility index of >12% is indicative of volume responsiveness in a spontaneously breath­ing patient. In mechanically ventilated patients, the distensibility of the IVC can be measured and volume responsiveness is likely if the distensibility index >18% [21].
DD
maxmin
IVCDistensiblity =
 
D
min
()
×
100
 
Perioperative Fluid Management
The commonly used 0.9% normal saline (NS) is an unbalanced isotonic crystalloid as it has a non-physiologic chloride concentration [48, 49]. More balanced alterna­tives are shown in Table18.1.
In spite of controversial reports, the SMART (Isotonic Solutions and Major Adverse Renal Events) protocol demonstrated less renal complications and less mortality with balanced preparations [5055].
Table 18.1 Composition of commonly used crystalloid solutions
3%
Saline Sodium (mmol/L) 513 154 140 130 77 77 Chloride (mmol/L) 513 154 98 109 77 77 Potassium (mmol/L) 0 0 5 4 0 0 Magnesium (mmol/L) 0 0 3 0 0 0 Calcium (mmol/L) 0 0 0 3 0 0 Acetate (mmol/L) 0 0 27 0 0 0 Gluconate (mmol/L) 0 0 23 0 0 0 Lactate (mmol/L) 0 0 0 28 0 0 Dextrose (mEq/L) 0 0 0 0 25 0 Osmolarity
(mOsm/L) pH 5 5 7.4 6.5 4.5 5.6
D5 5% Dextrose, NS Normal saline, D5 ½ NS 5% Dextrose combined with diluted normal saline, ½ NS Normal saline diluted in water 1:1
1026 308 294 273 280 154
0.9% Saline
Plasma­lyte
Lactated ringers
D5 ½ NS½
NS
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Colloids
They have been widely prescribed in the past, as a means of minimizing capil­lary leakage, replacing expensive and not always available blood transfusions [56]. However, morbidity and mortality increased and their use has been discontinued.
At this moment only human serum albumin (5% and 25% formulations) is an option, for selected cases of decompensated cirrhosis, ascites as well as other rare conditions, not for routine administration. Synthetic colloids still exist in the mar­ket; however, most countries discourage their use [57].
Crystalloids Versus Colloids
After traumatic brain injury (TBI), mortality rate was higher and neurologic out­comes poorer when albumin was administered [58, 59]. In contrast, a post-hoc anal- ysis showed a decreased risk of mortality in patients with septic shock when receiving albumin to correct hypoalbuminemia [60]. The Surviving Sepsis Guidelines recommend considering albumin in patients who have received large­volume crystalloid resuscitation [6163].
Liberal Versus Restrictive Fluid Management
In a 2003 study, patients in the liberal group gained 4kg compared to 1kg in the restrictive group by the rst postoperative day [64]. There has been much variability in the practice of perioperative uid administration over the past two decades, as outcomes research has prompted changes in practice [6467]. Current existing evi­dence comparing liberal and restrictive uid replacement strategies is rather incon­clusive. In earlier studies, liberal uid management strategy was associated with increased perioperative morbidity, hospital costs, and length of stay [68]. After colorectal surgery, uid overload is still incriminated for postoperative ileus [66], and surgical complications such as pneumonia and anastomotic leakage, seem more frequent in the same circumstances of excessive uid utilization after esophagec­tomy [67].
In a large randomized controlled trial focusing major abdominal surgery, no difference in overall 1-year survival was observed; however, patients in the restrictive group had a higher incidence of acute kidney injury [69]. A subse­quent meta- analysis found no difference in early or late postoperative mortal­ity [70].
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Enhanced Recovery After Surgery (ERAS)
Despite not uncommon criticisms, the increasingly popular ERAS programs advo­cate for a “zero-balance” uid goal [17, 71]. For high-risk surgical patients, ERAS guidelines endorse goal-directed uid therapy techniques, which are discussed below [16, 19].
Goal-Directed Therapy
Goal-directed therapy (GDT) is a strategy that aims to provide clear objectives for uid administration during the perioperative period. This approach involves real­time assessments of hemodynamic and cardiac output parameters to guide uid therapy. A predened algorithm, as illustrated in Fig.18.6, is selected depending on the operation, setting, and experience of the team, to determine when a uid bolus is necessary. For example, if SVV remains above 13% for 5–10min, and the patient is also hypotensive, this may indicate that the patient could benet from additional uid administration.
The evidence supporting GDT is not entirely conclusive, much like the uid strategies described earlier [7275].
A large meta-analysis found moderate evidence of benet only concerning infec­tious postoperative complications and anastomotic leakage [76]. One should
Fig. 18.6 Sample algorithm for goal directed uid therapy with uid administration guided by stroke volume variation. SVV Stroke volume variation, MAP Mean arterial pressure