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doi: 10.1097/SHK.0b013e31827f1c6a
Clinical Aspects

Applying Dynamic Parameters to Predict Hemodynamic Response to Volume Expansion in Spontaneously Breathing Patients With Septic Shock

Lanspa, Michael J.*†‡; Grissom, Colin K.*†‡; Hirshberg, Eliotte L.*†‡§; Jones, Jason P.; Brown, Samuel M.*†‡

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*Division of Pulmonary and Critical Care Medicine, University of Utah School of Medicine, Salt Lake City; and Division of Pulmonary and Critical Care Medicine and Critical Care Echocardiography Service, Intermountain Medical Center, Murray; and §Division of Pediatric Critical Care, University of Utah School of Medicine, Salt Lake City, Utah; and Kaiser-Permanente Southern California Medical Group, Pasadena, California

Received 30 Oct 2012; first review completed 19 Nov 2012; accepted in final form 20 Nov 2012

Address reprint requests to Michael J. Lanspa, MD, Division of Pulmonary and Critical Care, Intermountain Medical Center, 5121 S Cottonwood St, Shock Trauma ICU, Murray, UT 84107. E-mail:

This study was supported by grants from the Easton Family Fund, the Deseret Foundation, and the Intermountain Medical Research Foundation. S.M.B. is supportedby a career development award from the National Institute of General Medical Sciences (K23GM094465).

All authors report no relevant conflicts of interest.

Supplemental digital content is available for this article. Direct URL citation appears in the printed text and is provided in the HTML and PDF versions of this article on the journal’s Web site (

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ABSTRACT: Volume expansion is a mainstay of therapy in septic shock, although its effect is difficult to predict using conventional measurements. Dynamic parameters, which vary with respiratory changes, appear to predict hemodynamic response to fluid challenge in mechanically ventilated, paralyzed patients. Whether they predict response in patients who are free from mechanical ventilation is unknown. We hypothesized that dynamic parameters would be predictive in patients not receiving mechanical ventilation. This is a prospective, observational, pilot study. Patients with early septic shock and who were not receiving mechanical ventilation received 10-mL/kg volume expansion (VE) at their treating physician’s discretion after initial resuscitation in the emergency department. We used transthoracic echocardiography to measure vena cava collapsibility index and aortic velocity variation before VE. We used a pulse contour analysis device to measure stroke volume variation (SVV). Cardiac index was measured immediately before and after VE using transthoracic echocardiography. Hemodynamic response was defined as an increase in cardiac index 15% or greater. Fourteen patients received VE, five of whom demonstrated a hemodynamic response. Vena cava collapsibility index and SVV were predictive (area under the curve = 0.83, 0.92, respectively). Optimal thresholds were calculated: vena cava collapsibility index, 15% or greater (positive predictive value, 62%; negative predictive value, 100%; P = 0.03); SVV, 17% or greater (positive predictive value 100%, negative predictive value 82%, P = 0.03). Aortic velocity variation was not predictive. Vena cava collapsibility index and SVV predict hemodynamic response to fluid challenge patients with septic shock who are not mechanically ventilated. Optimal thresholds differ from those described in mechanically ventilated patients.

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Volume expansion (VE) with intravenous fluid is a mainstay of therapy for septic shock and is often one of the first therapies performed. The rationale behind VE is to increase cardiac preload by increasing mean circulatory filling pressure. In early sepsis, aggressive VE appears to be beneficial (1, 2), but evidence suggests that excessive VE is deleterious (3–5). Current consensus statements advocate treatment of septic shock by VE until a goal central venous pressure (CVP) is achieved (6). Despite the widespread clinical use of CVP, multiple studies demonstrate that CVP poorly predicts hemodynamic improvement after VE (7–9). A limitation of CVP is that it is a static measurement and therefore offers little information about a patient’s response to VE. A patient’s response to VE is determined by the intersection of his/her Frank-Starling cardiac output curve and venous return curve (10). This curve may vary from patient to patient, as well as within a patient at different points in time.

Measurements that assess the heart-lung interactions that occur with respiratory variations in intrathoracic pressure may offer a better estimate of hemodynamic response to VE. These measures include respiratory variations in pulse pressure (11, 12), left ventricular stroke volume (13–15), aortic blood velocity (16, 17), vena cava diameter (18–20), and vena cava pressure (21). Many studies of dynamic parameters have largely been confined to intubated patients receiving mechanical ventilation and chemical paralysis (16, 17, 19, 20, 22). These studies caution that dynamic parameters are not useful in spontaneously breathing patients but make this assessment on patient population largely confined to assisted mode of ventilation (9, 23, 24). Typically, these studies have utilized transesophageal echocardiography (14, 16, 17, 20, 22, 23). In contemporary critical care environments, relatively few patients in septic shock receive mechanical ventilation under chemical paralysis (6). Transthoracic echocardiography (TTE) is less invasive than transesophageal echocardiography and is better tolerated by the nonintubated patient. Our goal, therefore, was to use a noninvasive measure that could be obtained easily at bedside and applied to the non–mechanically ventilated patient in septic shock. We selected three measurements that had been validated as useful predictors of hemodynamic response to VE in the mechanically ventilated, paralyzed patient: vena cava collapsibility index (VCCI), aortic blood velocity variation (AoVV), and stroke volume variation (SVV). We hypothesized that these measurements would be predictive of hemodynamic response to VE in unassisted, spontaneously breathing patients in septic shock.

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This prospective, observational study was conducted between January 2010 and April 2011 in the 24-bed Shock/Trauma Intensive Care Unit and the 12-bed Respiratory Intensive Care Unit at the Intermountain Medical Center, an academic, tertiary-care 452-bed hospital, with 80 intensive care unit (ICU) beds, in Murray, Utah. The protocol was approved by the Intermountain Healthcare institutional review board, and all patients or their legally authorized representatives provided written, informed consent.

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We screened patients admitted to the ICU with septic shock defined by standard criteria (25). The patients were enrolled within 6 h from time of admission to the ICU. We included patients who were at least 14 years of age with suspected infection and two or more systemic inflammatory response syndrome criteria (white blood cell count <4,000/µL or >12,000/µL or differential with >10% immature forms, heart rate >90 beats/min, respiratory rate >20 breaths/min or PaCO2 <32 mmHg, temperature <36°C or >38°C), evidence of refractory hypotension (a systolic blood pressure <90 mmHg despite VE of at least 20 mL/kg), and in whom the treating physician intended to perform VE. Inclusion criteria also included the presence of a central venous catheter and arterial catheter. When the treating physician decided that VE was clinically indicated, 10 mL/kg crystalloid was infused intravenously over a period of less than 20 min. We excluded patients receiving positive-pressure ventilation (endotracheal or noninvasive positive-pressure ventilation). We excluded patients with known pregnancy, severe aortic stenosis, irregular ventricular rhythm (atrial fibrillation or frequent premature ventricular contractions), or in whom the treating physician deemed aggressive care unsuitable. We excluded anyone with active airway obstruction (concomitant diagnosis of acute exacerbation of asthma or chronic obstructive pulmonary disease). The analysis was restricted to the first VE administered after enrollment. A VE was excluded if there was a change in vasopressor dosage or administration of bolus catecholamine simultaneous with VE. All patients were managed in the emergency department and after admission to the ICU according to Surviving Sepsis Campaign Guidelines 2008 as included in the “sepsis bundle” used at Intermountain Medical Center (6).

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All measurements were obtained with the patient lying supine, with the head of the bed at 0-degree elevation for at least 30 s before recording data. All echocardiographic measurements, including cardiac output, VCCI, and AoVV, were made off-line, with agreement between two of the authors (M.J.L. and E.L.H.). Both authors are testamurs of the National Board of Echocardiography Examination of Special Competence in Adult Echocardiography. Measurements of dynamic parameters were performed blinded to the measurement of hemodynamic response.

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Cardiac index

We used TTE to assess cardiac index, according to a standard technique (26–28). Images were obtained using a Philips CX50 ultrasound system (Philips Medical Systems, Bothell, Wash). We performed serial limited TTE examinations immediately before and immediately after VE. The cardiac index was calculated using velocity-time integration and left ventricular outflow tract diameter and normalized to body surface area, averaged over three consecutive ventricular contractions obtained at end-expiration. The treating physicians were blinded to the results of the limited TTE until after the completion of the study. All patients had an electrical impedance respirometer to assess breathing activity.

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Vena cava collapsibility index

Immediately before VE, TTE was used to obtain a two-dimensional image, visualizing the inferior vena cava as it entered the right atrium (subcostal window, long-axis view) (29). The M-mode cursor was used to create a time-motion image of the inferior vena cava diameter just proximal to the junction of the hepatic veins that lie approximately 0.5 to 3.0 cm proximal to the ostium of the right atrium (Fig. 1). Inferior vena cava diameters were collected over a 20-s period of spontaneous respirations, and the VCCI was calculated from the respiratory cycle with the greatest amount of caval collapse. Vena cava collapsibility index is calculated as the difference in maximum and minimum diameters divided by the maximum diameter. This index has previously been reported in mechanically ventilated patients, using the superior vena cava (19).

Fig. 1
Fig. 1
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Aortic blood velocity variation

Immediately before the fluid challenge, a two-dimensional echocardiographic image was obtained, visualizing the left ventricular outflow tract and aortic valve (apical window, 5-chamber view). The continuous wave Doppler cursor was aligned with the direction of blood flow during systole (Fig. 2). Maximum and minimum aortic velocities were collected over a 20-s period of spontaneous respirations, and the AoVV was calculated from the respiratory cycle with the greatest amount of velocity variation. Aortic blood velocity variation is calculated as the difference in the maximum and minimum aortic blood velocity divided by the average of the maximum and minimum aortic blood velocity. This index has previously been reported in mechanically ventilated patients and in healthy volunteers (17, 30).

Fig. 2
Fig. 2
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Stroke volume variation

Immediately before the fluid challenge, the SVV was recorded. Stroke volume variation was assessed by pulse contour analysis, using a radial arterial catheter and FloTrac Vigileo system (Edwards Life Sciences, Irvine, Calif). The FloTrac uses a proprietary algorithm to calculate SVV (31). Criticisms have been raised regarding the accuracy of the FloTrac to measure cardiac output in septic shock (32), but the SVV has demonstrated an ability to predict response to VE in mechanically ventilated, paralyzed patients in septic shock (33).

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Statistical analysis

We assessed the diagnostic accuracy of VCCI, AoVV, SVV, and CVP in predicting hemodynamic response to a fluid challenge. Hemodynamic response is defined as an increase in cardiac index of 15% or greater after a fluid challenge. Receiver operating characteristic curves were calculated for the parameters. Group comparisons used Fisher exact test, Student t test, or Wilcoxon rank sum, where appropriate. P < 0.05 was considered statistically significant. All analyses were performed using Stata v12.0 (StataCorp, College Station, Tex).

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Clinical and demographic data

Fourteen patients were studied. Demographic and clinical information regarding patients is shown in Table 1 and Table, Supplemental Digital Content 1, at Ten patients were initially resuscitated in our emergency department, with a median duration of 1.5 h before ICU admission and a median amount of 4.6 L of crystalloid administered. Two patients were transferred to the ICU from a referring emergency department, and two were transferred from the hospital ward. More than half (56%) of the patients were receiving vasoactive medications at time of enrollment. Median time to acquire all echocardiographic images (including cardiac index) preceding the VE was less than 4 min. There were no significant differences in patient demographics, receipt of vasopressors, amount of fluid received before study, or in heart rate, blood pressure, or CVP. Patients who were classified as responders to VE had greater values of VCCI (52% vs. 11%, P = 0.04) than did nonresponders, but no difference in SVV (19% vs. 10%, P = 0.08) and AoVV (29% vs. 22%, P = 0.41). Neither CVP nor dynamic parameters differed in patients receiving vasopressor compared with those who did not (Table 2).

Table 1
Table 1
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Table 2
Table 2
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Hemodynamic response

Five of 14 VEs resulted in an increase in cardiac index 15% or greater. The median increase in cardiac index for all VEs was 11.6%. There were statistically significant differences between responders and nonresponders in VCCI. Receiver operating characteristic curves predicting hemodynamic response to VE demonstrated good diagnostic accuracy for VCCI (area under the curve [AUC] = 0.83; 95% confidence interval, 0.58–1.00; Fig. 3), excellent accuracy for SVV (AUC, 0.92; 95% confidence interval, 0.73–1.0), and poor accuracy for AoVV (AUC, 0.67; 95% confidence interval, 0.32–1.00). We performed sensitivity analyses to determine optimal thresholds for each parameter. A threshold for VCCI of 15% or greater had poor positive predictive value (PPV) (62%) but excellent negative predictive value (NPV) (100%, P = 0.03, Table 3). A threshold for VCCI of 50% or greater had fair PPV (75%) and good NPV (80%), although this did not achieve statistical significance (P = 0.09). A threshold for AoVV of 25% or greater was not predictive (PPV = 50%, NPV = 85%, P = 0.27). A threshold for SVV of 17% or greater had excellent NPV and good PPV (100% and 82%, respectively, P = 0.03).

Table 3
Table 3
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Fig. 3
Fig. 3
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In a sensitivity analysis, we also examined the value of VCCI and AoVV in predicting hemodynamic response to VE if variation were calculated from the minimum and maximum values over a 20-s period. In this case, AoVV had an AUC of 0.86 (0.65–1.00), and VCCI had an AUC of 0.84 (0.63–1.0).

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This is the first study to demonstrate that SVV can predict hemodynamic response to VE in patients with septic shock who are not receiving mechanical ventilation and the second study to demonstrate that VCCI can predict VE in the same population (34). Prior studies in this area have largely been confined to the mechanically ventilated patient receiving fully controlled ventilation (14, 16, 17, 20, 22, 23). Before this study and the study by Muller and colleagues (34), the only dynamic parameter that reliably predicted hemodynamic response to VE in the nonintubated septic patient is the passive leg-raise maneuver (35). However, the passive leg-raise maneuver requires manipulation of patient position, as well as a device to measure changes in cardiac output or stroke volume. Furthermore, the passive leg raise may be inaccurate in the setting of abdominal compartment syndrome (36). The parameters in this study require no cooperation from or movement of the patient and can be easily obtained in less than 1 min by a trained clinician, and they do not require measurement of cardiac output after the VE.

Dynamic fluctuations in intrathoracic pressure will occur not only in the passive mechanical breath but also in the spontaneously breathing patient (37). A measurable delta in intrathoracic pressure, whether positive or negative, may allow the clinician to infer the patient’s position on the Frank-Starling curve. In the patient receiving passive mechanical ventilation, the change in intrathoracic pressure is positive deflection, whereas in the patient free from mechanical ventilation, the change is a negative deflection. In a patient receiving a mechanically assisted breath, the net effect of intrathoracic pressure change may be difficult to assess (38).

We suspect that reported poor prediction of dynamic parameters in the spontaneously breathing, mechanically ventilated patient may be due to two factors. First, spontaneous breathing in assisted mechanical ventilation may have more complex hemodynamic effects than either unassisted breathing or controlled ventilation (38–40). Kimura and colleagues (41) demonstrated that the inferior vena cava collapsibility may be affected by the amount of diaphragmatic excursion versus the amount of chest excursion. Second, the tidal volumes and intrathoracic pressures are inconsistent in the spontaneously breathing patient. One of the few positive studies in which dynamic parameters predicted hemodynamic response to VE in non–mechanically breathing subjects did so in healthy volunteers (30). That study required the subjects to synchronize their breathing to a metronome set at 6 breaths/min to decrease breath-to-breath variability. Our study made no attempts to pace the breathing of the patient.

This study is the second study to demonstrate that VCCI is predictive in the spontaneously breathing patient. Muller and colleagues (34) examined VCCI in a group of spontaneously breathing patients with acute circulatory failure, 24 of whom were in septic shock. In their nonblinded study, they demonstrated that a VCCI of 40% or greater was likely to predict hemodynamic response to VE, whereas a VCCI of less than 40% was not very useful. Taken together with our study, it appears that either very large or very small values of VCCI may have some utility in predicting response to VE, although VCCI may have a wide range where it is clinically indeterminate in the spontaneously breathing patient.

In our study, the echocardiographically derived AoVV was poorly predictive, whereas the SVV, derived from arterial pulse contour, had excellent predictive value. In most cases, the peak aortic blood velocity should be proportional with the stroke volume, although it does not correlate with stroke volume as well as the velocity-time integration. One possible explanation for the discrepancy between AoVV and SVV is that the FloTrac uses an algorithm that calculates SVV from all data points, continuously averaged over a period of time (20 s), whereas our AoVV was calculated from the largest single variation over a 20-s period. Calculation of the AoVV from the largest and smallest values over a 20-s period yielded a greater AUC (0.86; 0.64–1.0). Another possible explanation for the difference between AoVV and SVV is that the AoVV is dependent on the ultrasound probe angle and therefore may be prone to artifact from cardiac movement or from operator technique. If either the heart or the ultrasound probe moved during recording, it would alter the measurement of aortic blood velocity. We attempted to mitigate the possibility of cardiac translation during respiration by always measuring cardiac output at end expiration. However, respiration-induced cardiac translation cannot be eliminated from the AoVV, as it is measured throughout respiration.

We chose the largest single respiratory variation during a 20-s observation (to capture the largest signal) because it may be difficult for a clinician at beside to average several consecutive measurements in real time. This methodology is similar to previous studies in mechanically ventilated patients, which measured changes over the course of a single breath, or an average over several consecutive respiratory cycles (17, 19, 20, 22). However, in these previous studies, there was minimal breath-to-breath variation, and thus no preference was given to one respiratory cycle over another.

The thresholds of the studied parameters are somewhat larger than similar values reported in mechanically ventilated patients receiving chemical paralysis. Vieillard-Baron and colleagues (19) assessed superior vena cava collapsibility using transesophageal echocardiography in septic shock, finding that a threshold of 36% had good sensitivity and specificity. Barbier and colleagues (22) assessed inferior vena cava distensibility in mechanically ventilated patient in septic shock, with a threshold of 18%. Feissel and colleagues (17) calculated an AoVV of 12% in mechanically ventilated septic patients, whereas Skulec and colleagues (30) calculated a threshold value for AoVV of 14% in spontaneously breathing, healthy volunteers. Stroke volume variation obtained from FloTrac device has been validated in mechanically ventilated patients recovering from cardiac surgery (13, 15), but at the time of this writing, it has not yet been validated in patients with septic shock (31). The useful threshold for SVV in mechanically ventilated postoperative patients is 10% (15). We posit two possible explanations for why the optimal thresholds for VCCI and AoVV in this study were larger than those calculated in previous studies: First, we used the largest single respiratory variation observed over a 20-s period rather than an average breath-to-breath calculation. Second, there may be greater efficiency in the work of breathing in patients free from mechanical ventilation compared with patients receiving passive mechanical ventilation. This increased efficiency may result in decreased delta to the intrathoracic pressure for a comparable tidal volume and therefore may require a larger signal to achieve comparable effect.

This study enrolled patients after their initial emergency department resuscitation. Every enrolled patient had received 2 to 5 L of intravenous fluid before enrollment. Therefore, this study is relevant to the intensivist managing early septic shock after the initial emergency department resuscitation. In our study, 64% (8/14) of VEs, all of which were administered for clinical indications, failed to improve hemodynamics. This number is within range of other similar studies (28%–70%) (10, 22, 42). These studies, combined with the known harms of excess VE, serve as a reminder to the intensivist that continued administration of fluid may not be indicated in the early ICU resuscitation of septic patients (3–5).

This is a pilot study and therefore is limited by its small size. However, the sample size is not much smaller than similar studies in the field. Feissel and colleagues (17) demonstrated AoVV to be predictive in 19 mechanically ventilated patients, and Barbier and colleagues (22) demonstrated inferior vena cava distention was predictive in 23 mechanically ventilated patients. All echocardiographic measurements were obtained by a single physician, which eliminates interobserver variability but does not allow for assessment of reproducibility. The study assessed only a single 10-mL/kg VE and cannot inform on the value of larger or smaller VEs. Clinical parameters, such as increase in urine output or improved survival, were not studied. Strengths of this study include its prospective nature and its measurement of cardiac index by echocardiography, which is more relevant to current clinical practice and avoids the risks of assessing cardiac index with a pulmonary artery catheter (26). This study also more closely replicates the clinical setting, as the intensivist typically treats patients in septic shock who have already received initial emergency department resuscitation.

Further work in this area, in addition to external validation, should explore composite measurements of these parameters and others to create a robust model to predict a patient’s likelihood to respond to fluid administration.

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The authors thank Ben Briggs for screening patients, Naresh Kumar for consenting patients, and Amanda Borba for administrative support.

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What’s New in Shock? February 2013
Moldawer, LL
Shock, 39(2): 117-120.
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Sepsis; fluid; hemodynamics; echocardiography

©2013The Shock Society

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