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Quantifying systemic congestion with Point-Of-Care ultrasound: development of the venous excess ultrasound grading system

The Ultrasound Journal volume 12, Article number: 16 (2020) Cite this article

Abstract

Background

Organ congestion is a mediator of adverse outcomes in critically ill patients. Point-Of-Care ultrasound (POCUS) is widely available and could enable clinicians to detect signs of venous congestion at the bedside. The aim of this study was to develop several grading system prototypes using POCUS and to determine their respective ability to predict acute kidney injury (AKI) after cardiac surgery. This is a post-hoc analysis of a single-center prospective study in 145 patients undergoing cardiac surgery for which repeated daily measurements of hepatic, portal, intra-renal vein Doppler and inferior vena cava (IVC) ultrasound were performed during the first 72 h after surgery. Five prototypes of venous excess ultrasound (VExUS) grading system combining multiple ultrasound markers were developed.

Results

The association between each score and AKI was assessed using time-dependant Cox models as well as conventional performance measures of diagnostic testing. A total of 706 ultrasound assessments were analyzed. We found that defining severe venous congestion as the presence of severe flow abnormalities in multiple Doppler patterns with a dilated IVC (≥ 2 cm) showed the strongest association with the development of subsequent AKI compared with other combinations (HR: 3.69 CI 1.65–8.24 p = 0.001). The association remained significant after adjustment for baseline risk of AKI and vasopressor/inotropic support (HR: 2.82 CI 1.21–6.55 p = 0.02). Furthermore, this severe VExUS grade offered a useful positive likelihood ratio (+LR: 6.37 CI 2.19–18.50) when detected at ICU admission, which outperformed central venous pressure measurements.

Conclusions

The combination of multiple POCUS markers may identify clinically significant venous congestion.

Background

Hemodynamic management in critically ill patients has traditionally focused on maintaining adequate cardiac output and arterial blood pressure by relying on fluid administration and vasopressor/inotropic support [1, 2]. However, organ perfusion is affected by other important factors [3, 4]. Among them, the venous pressure is often overlooked as a hemodynamic parameter that may be of critical importance. The development of clinically significant organ congestion is susceptible to occur in patients with right ventricular failure or pulmonary hypertension, and in patients with fluid overload. These contributors are likely to be synergistic in critically ill patients, particularly when renal dysfunction aggravates fluid retention. A reduction of the arteriovenous gradient across vital organs may hamper adequate perfusion [5]. This phenomenon may be worsened with the development of interstitial edema after prolonged elevation of capillary hydrostatic pressure in the context of a dysfunctional endothelial barrier [4]. In encapsulated organs such as the kidney and the brain, interstitial edema may result in a rapid elevation in interstitial pressure, which then decreases organ blood flow [6, 7]. Furthermore, interstitial edema is hypothesized to impair tissue oxygenation by increasing the diffusion distances within the interstitium [8].

An exceedingly challenging aspect of hemodynamic evaluation is determining what represents clinically significant venous hypertension. Central venous pressure (CVP) measurements performed in the intensive care unit (ICU) remain invasive and are subject to important measurement errors even among experienced operators [9]. Furthermore, while higher CVP has been associated with complications in multiple settings [10,11,12], it remains unclear what level of CVP is deleterious and may be considered a trigger for intervention [13]. Other metrics such as cumulative fluid balance, weight variations and physical examination for peripheral edema, each have important limitations and may not be proportional to systemic venous pressure [14,15,16].

Point-Of-Care ultrasound (POCUS) enables the clinician to visualize the vascular anatomy and assess blood velocity using Doppler imaging. Within any venous vascular system, the additional volume associated with congestive factors will eventually reach the upper limits of the systemic venous capacitance, causing a rapid rise in venous pressures. Several markers of the high pressures associated with this congestive process have been proposed including the assessment of large veins (vena cava, internal jugular) as well as detecting abnormal venous waveforms suggestive that the limit of the systemic venous compliance in the portal vein, hepatic veins and intra-renal veins [17]. All of these markers have been associated with adverse consequences of venous hypertension, both in acute and chronic settings [18,19,20,21]. However, they also all have significant limitations that may hamper their clinical usefulness when interpreted in isolation [22,23,24]. It is likely that considering a combination of these ultrasonographic features may increase the clinical usefulness of POCUS for the purpose of detecting significant venous congestion.

The primary objective of the exploratory study was to develop a prototypical Venous Excess Ultrasound (VExUS) grading system of the severity of venous congestion, and to validate its potential clinical value in predicting the occurrence of acute kidney injury (AKI) after cardiac surgery using existing data from a recent prospective cohort study. The secondary objective was to compare its clinical usefulness to CVP measurements.

Methods

Study design and participants

This is a post-hoc analysis of data collected during a prospective cohort study at a tertiary cardiac surgery center from August 2016 to July 2017 (NCT02831907) [21]. Written consent was obtained for all patients and the project was approved by the Montreal Heart Institute Ethics Committee (2016-1946).

Non-critically ill patients 18 years and older undergoing cardiac surgery with the use of cardiopulmonary bypass were eligible to participate. Complete inclusion and exclusion criteria have been previously described [21]. Notably, patients with critical illness, AKI or delirium before surgery were excluded as well as patients with conditions that may have interfered with portal Doppler assessment (cirrhosis, portal thrombosis) and patients with severe chronic kidney disease (estimated glomerular filtration rate < 15 mL/min per 1.73 m2 calculated using the Modified Diet in Renal Disease formula [25]) or dialysis.

Ultrasound assessment

All patients underwent repeated POCUS assessment the day before surgery, at ICU admission after surgery and daily from post-operative days 1 to 3. Each ultrasound assessment consisted of hepatic vein Doppler, portal vein Doppler, intra-renal venous Doppler and inferior vena cava (IVC) ultrasound. The complete method for hepatic, portal and renal Doppler assessment has been previously published [21]. The assessments were performed with concurrent electrocardiogram tracing to adequately identify the hepatic waveform phases during the cardiac cycle. Inter-observer variability for identifying portal and intra-renal vein Doppler patterns were good, as previously reported [21].

The IVC diameter was measured in its intra-hepatic portion at 2 cm of the junction with the hepatic veins using a longitudinal view from a sub-xiphoid position [26]. When the sub-xiphoid window was not appropriate the probe was moved laterally to the right side of the body, over the liver, until an adequate view was achieved. The maximal diameter during the respiratory cycle was measured.

Development of VExUS grading system prototypes

Based on an original concept (P.R.), a multidisciplinary team composed of intensivists (A.D., P.R.), anesthesiologist (A.D.), emergency physicians (R.S., K.H.) and nephrologist (W.B.S) developed five VExUS grading system prototypes based on the severity of venous ultrasonographic markers (Fig. 1). For the hepatic vein Doppler, a systolic phase was of lesser amplitude than the diastolic phase but toward the liver was considered mild while the presence of a reversed systolic phase was considered severe [17, 27]. For the portal vein Doppler, a pulsatility fraction (PF) of 30–49% was considered mild while a PF > 50% was considered severe based on the previous studies [21, 28, 29]. For the intra-renal venous Doppler, a discontinuous pattern with a systolic and a diastolic phase was considered mild while a discontinuous pattern with only a diastolic phase was considered severe [18, 21]. The prototype grading systems were named VExUS “A” through “E” (Fig. 1) with multiple grades within each grading system. The VExUS score was determined for all patients and for all timepoints. Overall, echographic variables were > 95% complete within the dataset. In the case of a missing value for an echographic marker, the last known value for this marker for the patient (i.e., assessment performed the previous day) was imputed.

Fig. 1
figure 1

The Venous Excess UltraSound (VExUS) grading system prototypes combining inferior vena cava (IVC) diameter and venous Doppler waveform of the portal, hepatic and interlobular renal veins. Hepatic Doppler is considered mildly abnormal when the systolic (S) component is lower in magnitude than the diastolic (D) component, but still toward the liver while it is considered severely abnormal when the S component is reversed (toward the heart). Portal Doppler is considered mildly abnormal when a variation in the velocities during the cardiac cycle of 30 to < 50% are observed, while is considered severely abnormal when a variation of ≥ 50% is seen. Intra-renal venous Doppler is considered mildly abnormal when it is discontinuous with a systolic (S) and diastolic (D) phase, while is it considered severely abnormal when it is discontinuous with only a diastolic phase seen during the cardiac cycle

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Clinical data collection

Demographic, baseline information, cumulative fluid balance information, hemodynamic parameters at the time of assessment and outcomes during hospitalization were all collected prospectively during the study as previously published [21]. The presence of left and right systolic ventricular dysfunction on trans-esophageal echocardiography performed by the attending anesthesiologist before cardiopulmonary bypass was also collected. Left ventricular dysfunction was defined as a left ventricular ejection fraction (LVEF) ≤ 40%, and right systolic ventricular dysfunction was defined by either tricuspid annular plane systolic excursion < 16 mm or right ventricular area of change < 35% [27]. Mean CVP measurements were obtained using a jugular central venous catheter. Measurements were noted before POCUS assessment at ICU admission and daily if the central line was still in place at the time of POCUS assessment. The mean CVP values were noted after verifying the position of the pressure transducer in relation with the patient. The height of the bed was adjusted if needed to insure proper positioning at the level of the right atrium (intersection between mid-axillary line and fourth intercostal space). N-terminal pro-beta natriuretic peptide (NT-pro-BNP) was also measured prospectively before surgery and on the morning of post-operative days 1, 2 and 3. The European System Operative Score Risk Evaluation score (EuroSCORE II) was calculated, as well as a validated risk score by Birnie et al. for the prediction of AKI in cardiac surgery patients based on pre-operative characteristics and validated for the Kidney Disease: Improving Global Outcomes (KDIGO) criteria [30]. During the post-operative period, AKI was defined by the KDIGO criteria as an increase of serum creatinine > 26 μmol/L within a 48‐h period or 50% from baseline creatinine within a week from cardiac surgery [31]. Vasopressors (norepinephrine, vasopressin, dopamine) and inotrope (epinephrine, milrinone, dobutamine) use was noted at the time of ultrasound assessment. The vasopressor–inotrope score (VIS) was calculated to estimate the degree of pharmacologic support at the time of ultrasound assessment [32, 33]. The VIS was calculated using the following formula: VIS = dopamine dose (μg/kg/min) + dobutamine dose (μg/kg/min) + (100 * epinephrine dose (μg/kg/min)) + (10 * milrinone dose (μg/kg/min)) + (10,000 * vasopressin dose (U/kg/min)) + (100 * norepinephrine dose (μg/kg/min)) [32, 34].

Data analysis

Results are presented in number (%) for dichotomous variables and in mean ± standard deviation (SD) or median and interquartile range (IQR) for continuous variables, where appropriate. Comparisons between two groups for continuous variables were done using Student t-test or Mann–Whitney U test, as appropriate, and comparison between two groups for categorical variables was done using Chi squared test. The prevalence of each VExUS grade was presented as descriptive data for each timepoint. The association between the VExUS grades and the risk of new‐onset of AKI was assessed using a Cox proportional hazards model with the VExUS grades considered as segmented time‐dependent covariates. After identifying the VExUS grade most associated with AKI in univariable analysis, multivariable Cox regression was performed. A first model was constructed by including the pre-operative risk of AKI as performed by Birnie et al. [30] as an a priori covariate. This score included age, sex, body mass index, smoker status, New York Heart Association functional status, diabetes, peripheral vascular disease, chronic hypertension, hemoglobin level, renal function, recent coronary angiogram, triple vessel disease, operative priority and procedure type. In addition, a second model was created by adding the VIS as a segmented time‐dependent covariate to the first model. As a sensitivity analysis, other multivariable models including CBP duration and cardiac output measured at the end of surgery were performed. Results are presented as hazard ratio (HR) with 95% confidence intervals (CI).

The sensitivity and specificity as well as the positive likelihood ratio (+LR) and the negative likelihood ratio (−LR) of the different VExUS grades assessed at ICU admission to predict AKI after cardiac surgery were presented. The same analysis was performed using different cut-offs of CVP (≥ 8, ≥ 10, ≥ 12 and ≥ 14 mmHg), as well as individual ultrasound findings included in the VExUS grading systems. The CVP cut-off used was chosen based on current literature and expert opinion [10, 11, 13, 35]. Results are presented with 95% CI. Leaf plots were created to visually compare the diagnostic performance of grade 3 of the VExUS C grading system and CVP ≥ 12 mmHg [36, 37]. Leaf plots were generated using an online tool [38]. As a supplementary analysis, specificity of grade 3 of the VExUS C grading system was compared to other variables using exact McNemar test for paired nominal data.

The association between the VExUS grading system prototypes and commonly used markers of venous congestion (cumulative fluid balance, NT-pro-BNP and CVP) and VIS was first assessed using generalized estimating equation models using a robust estimator for the covariance matrix and an exchangeable structure for the working correlation matrix was used. This type of analysis accounts for the repeated measures’ design, implying that the sample was not independent. In addition to the VExUS grades, the time of assessment (4 timepoints: Day 0 to Day 3) was included as a factor in the analysis and the interaction between the studied variable and the time of ultrasound assessment was tested. We found multiple significant interactions (p < 0.05) with the time of assessment. Consequently, we presented the association for each timepoint and for each VExUS grade. The difference between the different grades was assessed using one-way ANOVA or Kruskall–Wallis test, where appropriate depending on the distribution of data. In the presence of a significant result (p < 0.05), multiple post-hoc pairwise comparisons with Bonferroni correction were performed and significant results were presented. Statistical tests were performed in SPSS version 24 (IBM, Armonk, New York, USA).

Results

Complete data from all 145 participants included in the original prospective study were included in the analysis. Baseline characteristics of patients have been previously published [21] and a summary is available in Additional file 1: Table S1. The median age was 66 ± 13 years and the median risk of complications based on pre-operative characteristics according to the EuroSCORE II was 2.96% (1.70; 4.79%). Known heart failure with reduced ejection fraction (LVEF ≤ 40%) was present in 31 patients (21.4%) and stage III chronic kidney disease or higher (corresponding to an eGFR < 60 mL/min/1.73 m2) was present in 37 patients (25.5%). At the start of the surgery before cardiopulmonary bypass, trans-esophageal echocardiography revealed low LVEF in 37 patients (25.5%) and systolic right ventricular dysfunction in 18 patients (12.4%). After surgery, 49 patients (33.8%) developed AKI but no patients received renal replacement therapy.

The complete distributions of all VExUS grades (0–3) according to candidate grading systems (A–E) during the peri-operative period are presented in Fig. 2. Severe venous congestion (Grade 3) was less often diagnosed with grading systems requiring the presence of severe flow abnormalities in multiple Doppler patterns (VExUS grading systems C and E) compared with grading systems requiring at least one severe Doppler finding (VExUS grading system A) or the combination of mild and severe Doppler findings (VExUS grading systems B or D). Compared with scores which did not consider IVC measurements (VExUS grading systems D and E), corresponding grading systems which included IVC measurements (VExUS grading systems B and C) identified less patients as having severe congestion (Grade 3). Before surgery, EuroSCORE II was different for all VExUS grading systems, with more severe VExUS grades being associated with a higher pre-operative risk assessment (Additional file 1: Table S2).

Fig. 2
figure 2

Distribution of Venous Excess UltraSound (VExUS) grading system prototypes a, b, c, d and e in the perioperative period in 145 patients undergoing cardiac surgery

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In the post-operative period, the presence of severe congestion (Grade 3) was associated with the development of subsequent AKI for all VExUS grading systems (Table 1). Severe congestion (Grade 3) defined by the VExUS C grading system was the most strongly associated with AKI (HR 3.69, CI 1.65–8.24, p = 0.001). After adjustment for the baseline risk of AKI and pharmacologic support (VIS), severe congestion (Grade 3) defined by the VExUS C grading system remained associated with the subsequent development of AKI after surgery (HR 2.82, CI 1.21–6.55 p = 0.02) (Table 2). Adjustment with cardiac output measured at the end of surgery and cardiopulmonary bypass duration yielded similar results (Additional file 1: Table S3). As for moderate congestion (Grade 2), only the VExUS C grading system was associated with the development of AKI (HR 2.65, CI 1.07–6.60 p = 0.036).

Table 1 Association between Venous Excess UltraSound (VExUS) grading system prototypes and the risk of acute kidney injury in the post-operative period
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Table 2 Multivariable proportional hazards models to predict acute kidney injury in 145 patients after cardiac surgery using the Venous EXcess UltraSound (VExUS) C grading system
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While only considering the assessment performed at ICU admission after surgery, severe congestion (Grade 3) defined by the VExUS C grading system had a high specificity (96% CI 89–99%) but low sensitivity (27% CI 15–41%) for the development of subsequent AKI resulting in a moderate +LR of 6.37 (CI 2.19–18.5) which surpassed the performance of other grading systems (Table 3). All VExUS grading systems had a low sensitivity (< 75%) resulting in poor − LR (> 0.5). A low CVP cut-off (≥ 8 mmHg) had a moderately useful − LR of 0.49 (CI 0.28–0.86). However, none of the studied CVP cut-offs or individual ultrasound markers outperformed grade 3 of the VExUS C grading system with respect to the +LR. The performance of VExUS C grade 3 and CVP ≥ 12 mmHg is represented graphically in Fig. 3. The specificity of grade 3 of the VExUS C grading system was statistically better than all other candidate variables except severe portal vein pulsatility, severe alteration of intra-renal venous flow and VExUS E grade 3 (see Additional file 1: Table S4).

Table 3 Performance parameters of the different VExUS grading systems assessed at ICU admission to predict acute kidney injury in 145 patients after cardiac surgery
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Fig. 3
figure 3

Leaf plots displaying the relationship between the assumed pre-test probability (on the x-axis) and the post-test probability (on the y-axis) of acute kidney injury (AKI) for the following cut-off: a severe congestion (Grade 3) defined by the VExUS C grading system and b central venous pressure of ≥ 12 mmHg. The upper half part of the curve indicates the post-test probability in case of a positive result while the lower half indicated is for a negative test result. The dashed double-sided arrow indicated the test performance considering the incidence of acute kidney injury (pre-rest probability) within the studied cohort (33.8%)

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Other congestion markers including cumulative fluid balance, NT-pro-BNP and CVP were associated with severe congestion (Grade 3) in all studied VExUS grading systems (see Additional file 1: Table S5). However, a statistical interaction with the time of assessment is present in multiple analyses. For the VExUS C grading system, severe congestion (Grade 3) was associated with a greater cumulative fluid balance (β = 899 CI 470; 1327 p < 0.001) and a higher CVP (β = 2.4 CI 0.70; 4.0 p = 0.004) without statistical interaction with the time of assessment. While an interaction was present for the analysis involving NT-pro-BNP, a significant difference in NT-pro-BNP measurements among grades was also present at each studied timepoint was as shown in Fig. 4. Comparison for other VExUS grading systems yielded similar results (see Additional file 1: Tables S6 to S10).

Fig. 4
figure 4

Clinical parameters in relationship with the Venous Excess UltraSound (VExUS) grading system C during the peri-operative period. a Central venous pressure at the time of ultrasound assessment in relationship with VExUS C grading system. b N-terminal pro-beta natriuretic peptide (NT-pro-BNP) in relationship with VExUS C grading system. c Cumulative fluid balance in relationship with VExUS C grading system. Significant results (p < 0.05) are highlighted. Complete results of comparisons are presented in Additional file 1: Table S3

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Discussion

In this work, we aimed to investigate the performance of different venous congestion grading systems based on ultrasound markers to predict AKI after cardiac surgery. We found that severe congestion, defined as the presence of severe flow abnormalities in multiple Doppler patterns with a dilated IVC (VExUS grading system C—Grade 3), offered the strongest association with the development of subsequent AKI compared with other combinations of ultrasonographic features. Examples of VExUS C grading are presented in Fig. 5. Importantly, this association remained significant after adjustment with known risk factors for AKI as well as vasopressor–inotropic support after surgery, with a HR of 2.82. Furthermore, the presence of severe congestion defined by the VExUS C grading system at ICU admission after cardiac surgery offered a high specificity but low sensitivity to predict AKI resulting in a moderate +LR which outperformed the use of common CVP measurement cut-offs. Of note, IVC dilatation alone had poor diagnostic performance (Specificity 41%) suggesting that this commonly used ultrasound assessment in the ICU is not sufficient to detect clinically significant congestion. However, VExUS grading systems that included IVC assessment had small improvement in specificity suggesting that IVC dilatation might be a useful to avoid false-positives.

Fig. 5
figure 5

Example of VExUS C grading system assessment in cardiac surgery. Patient #1: A 55-year-old woman undergoing tricuspid valve repair aortic valve replacement and mitral valve replacement known with chronic kidney disease (baseline eGFR = 35 mL/min/1.73 m2) with left ventricular ejection fraction of 40% and a high risk of major complications (EuroSCORE II = 16.8%) presented the following ultrasound findings at ICU admission after surgery: a Normal hepatic triphasic pattern, b a non-pulsatile portal flow and c continuous intral-renal venous flow and an IVC diameter of > 2.1 cm (not shown) corresponding to Grade 1 of VExUS C grading system. The patient did not develop acute kidney injury, was extubated 2.2 h after ICU admission and was discharged from the ICU less than 24 h after surgery. Patient #2: A 70-year-old man undergoing mitral valve repair with a left ventricular ejection fraction of 50% and a moderate risk of major complication (EuroSCORE II = 1.54%) presented the following ultrasound findings at ICU admission after surgery complicated by right ventricular dysfunction after cardiopulmonary bypass: d Systolic reversal of the hepatic venous flow, e severe portal flow pulsatility and f severe alteration in intra-renal venous flow corresponding to Grade 3 of the VExUS C grading system. The patient developed severe acute kidney injury and delirium in the post-operative period

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While there is now a widespread agreement that systemic venous hypertension resulting from fluid overload and right ventricular failure is associated with multiorgan injury and adverse outcomes [39]. POCUS may enable the clinician to detect clinically significant systemic venous hypertension. However, each of the proposed markers has some pitfalls and limitations. Hepatic vein Doppler is strongly influenced by tricuspid regurgitation which may influence its interpretation [40]. Pulsatile portal vein flow and IVC dilatation have been reported in healthy athletic volunteers which raise the possibility of false-positives [24, 41]. Finally, intra-renal venous Doppler is more technically challenging to perform and has a greater chance to provide ambiguous results in patients with poor ultrasound penetration or with devices offering less-sensitive Doppler capabilities. We therefore used a combination of these findings to better predict AKI and showed that it outperformed CVP measurement to predict congestive AKI. Previous studies have reported associations between echographic findings of right ventricular dysfunction and AKI after cardiac surgery [42, 43]. In addition to requiring advanced training, a high number of patients (> 25%) were excluded from these studies because of inadequate image quality. This raise concerns about the clinical usefulness of these assessments [42, 43]. Furthermore, in contrast to previous work, we performed a time-dependant analysis with repeated measurements. In addition, we performed multivariable adjustment for obvious potential confounders including validated scores summarizing the baseline risk of AKI and hemodynamic stability after cardiac surgery [30, 32].

In the present work, the low sensitivity to predict AKI is not surprising since venous congestion is unlikely to be a contributive factor in all cases. A multitude of other factors, venous congestion being only one of them, may trigger AKI in the peri-operative period [44]. However, the positive likelihood ratio exhibited by VExUS C Grade 3 indicates that most patients (96%) with these ultrasound features at ICU admission will develop AKI in the post-operative period. A small proportion of patients did not develop AKI despite presenting signs of severe venous congestion. Clearly, the presence of severe congestion alone is not enough to perfectly predict organ failure. However, this may not be entirely unexpected as perfusion also depends on arterial flow. Damman et al. elegantly demonstrated in a cohort of acutely decompensated congestive heart failure patients that venous hypertension was particularly deleterious in patients with reduced cardiac output [45]. This finding is also consistent with early animal experiments in which only very high venous pressure (≥ 25 mmHg) resulted in a decrease in the glomerular filtration rate when arterial blood flow was maintained [7, 46]. It is likely that the VExUS grading system, while being useful to assess the clinical importance of venous hypertension, will only give us partial information on how to guide intervention aimed at improving organ perfusion which could be complemented additional information related to arterial pefusion.

The present work has several limitations. First, we performed a relatively small single-center study including only cardiac surgery patients which limits the generalizability of the findings. Most importantly, the formation of interstitial edema also depends on vascular permeability which may be quite variable depending of the underlying disease. Consequently, caution should be taken when interpreting these finding in other clinical contexts. Furthermore, while the relationship between portal Doppler patterns and other echocardiographic variables during cardiac surgery has been previously described by our group [20] and others [47], we did not assess right ventricular function in this study which precludes us to determine if systolic right ventricular dysfunction was an important mechanism associated with severe VExUS grade in our cohort. Furthermore, because this analysis was based on retrospective data, other pertinent ultrasound features such as the respiratory collapsibility, 3-dimensional measurements of the IVC [48] or the evaluation of extra-vascular lung water could not be integrated in the VExUS grading systems. Finally, the confidence interval over the diagnostic performance parameters (sensitivity, specificity, +LR, − LR) is large due to the limited number of patients available in this cohort which also limits the power to detect significant differences in the performance of the studied grading systems. Consequently, we cannot definitely confirm based on the available data the superiority of the VExUS C grading system compared to the other candidate classifications or compared to individual findings.

Conclusions

In conclusion, we used existing data to propose a novel grading system for venous congestion, the Venous Excess UltraSound (VExUS) grading system based on the combination of multiple ultrasound findings. The presence of at least two severe alterations of hepatic vein, portal vein or intra-renal venous flow on pulse-wave Doppler ultrasound with an IVC of ≥ 2 cm of diameter at ICU admission after cardiac surgery indicates a high risk of post-operative AKI. Further studies should aim to validate this grading system in different clinical settings, confirm the optimal criteria for diagnostic performance and determine whether it could be used to personalize interventions to improve organ perfusion.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

AKI:

Acute kidney injury

CI:

Confidence interval

CVP:

Central venous pressure

EuroSCORE II:

European System Operative Score Risk Evaluation score

HR:

Hazard ratio

KDIGO:

Kidney disease: improving global outcomes

ICU:

Intensive care unit

IQR:

Interquartile range

IVC:

Inferior vena cava

LR:

Likelihood ratio

LVEF:

Left ventricular ejection fraction

NT-Pro-BNP:

N-terminal pro-beta natriuretic peptide

PF:

Pulsatility fraction

POCUS:

Point-Of-Care ultrasound

SD:

Standard deviation

VExUS:

Venous Excess Ultrasound

VIS:

Vasopressor–inotrope score

References

  1. Seymour CW, Rosengart MR (2015) Septic Shock: advances in diagnosis and treatment. JAMA 314:708–717

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. van Diepen S, Katz Jason N, Albert Nancy M, Henry Timothy D, Jacobs Alice K, Kapur Navin K, Kilic A, Menon V, Ohman EM, Sweitzer Nancy K, Thiele H, Washam Jeffrey B, Cohen Mauricio G (2017) Contemporary management of cardiogenic shock: a scientific statement from the American Heart Association. Circulation 136:e232–e268

    Article  PubMed  Google Scholar 

  3. Squara P, Hollenberg S, Payen D (2019) Reconsidering vasopressors for cardiogenic shock: everything should be made as simple as possible, but not simpler. Chest 156:392–401

    Article  PubMed  Google Scholar 

  4. De Backer D, Orbegozo Cortes D, Donadello K, Vincent J-L (2014) Pathophysiology of microcirculatory dysfunction and the pathogenesis of septic shock. Virulence 5:73–79

    Article  PubMed  Google Scholar 

  5. Saito S, Uchino S, Takinami M, Uezono S, Bellomo R (2016) Postoperative blood pressure deficit and acute kidney injury progression in vasopressor-dependent cardiovascular surgery patients. Crit Care 20:74

    Article  PubMed  PubMed Central  Google Scholar 

  6. Cruces P, Salas C, Lillo P, Salomon T, Lillo F, Hurtado DE (2014) The renal compartment: a hydraulic view. Intensive Care Med Exp 2:26

    Article  PubMed  PubMed Central  Google Scholar 

  7. Winton FR (1931) The influence of venous pressure on the isolated mammalian kidney. J Physiol 72:49–61

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Lim HS (2016) Cardiogenic shock: failure of oxygen delivery and oxygen utilization. Clin Cardiol 39:477–483

    Article  PubMed  PubMed Central  Google Scholar 

  9. Figg KK, Nemergut EC (2009) Error in central venous pressure measurement. Anesth Analg 108:1209–1211

    Article  PubMed  Google Scholar 

  10. Chen KP, Cavender S, Lee J, Feng M, Mark RG, Celi LA, Mukamal KJ, Danziger J (2016) Peripheral edema, central venous pressure, and risk of AKI in critical illness. Clin J Am Soc Nephrol 11:602–608

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Boyd JH, Forbes J, Nakada TA, Walley KR, Russell JA (2011) Fluid resuscitation in septic shock: a positive fluid balance and elevated central venous pressure are associated with increased mortality. Crit Care Med 39:259–265

    Article  PubMed  Google Scholar 

  12. Li DK, Wang XT, Liu DW (2017) Association between elevated central venous pressure and outcomes in critically ill patients. Ann Intensive Care 7:83

    Article  PubMed  PubMed Central  Google Scholar 

  13. De Backer D, Vincent J-L (2018) Should we measure the central venous pressure to guide fluid management? Ten answers to 10 questions. Crit Care 22:43

    Article  PubMed  PubMed Central  Google Scholar 

  14. Perren A, Markmann M, Merlani G, Marone C, Merlani P (2011) Fluid balance in critically ill patients. Should we really rely on it? Minerva Anestesiol 77:802–811

    CAS  PubMed  Google Scholar 

  15. Flentje KM, Knight CL, Stromfeldt I, Chakrabarti A, Friedman ND (2018) Recording patient bodyweight in hospitals: are we doing well enough? Intern Med J 48:124–128

    Article  PubMed  Google Scholar 

  16. Cook DJ, Simel DL (1996) The rational clinical examination. Does this patient have abnormal central venous pressure? JAMA 275:630–634

    Article  CAS  PubMed  Google Scholar 

  17. Beaubien-Souligny W, Bouchard J, Desjardins G, Lamarche Y, Liszkowski M, Robillard P, Denault A (2017) Extracardiac signs of fluid overload in the critically ill cardiac patient: a focused evaluation using bedside ultrasound. Can J Cardiol 33:88–100

    Article  PubMed  Google Scholar 

  18. Iida N, Seo Y, Sai S, Machino-Ohtsuka T, Yamamoto M, Ishizu T, Kawakami Y, Aonuma K (2016) Clinical implications of intrarenal hemodynamic evaluation by Doppler ultrasonography in heart failure. JACC Heart Fail 4:674–682

    Article  PubMed  Google Scholar 

  19. Ikeda Y, Ishii S, Yazaki M, Fujita T, Iida Y, Kaida T, Nabeta T, Nakatani E, Maekawa E, Yanagisawa T, Koitabashi T, Inomata T, Ako J (2018) Portal congestion and intestinal edema in hospitalized patients with heart failure. Heart Vessels 33:740–751

    Article  PubMed  Google Scholar 

  20. Eljaiek R, Cavayas YA, Rodrigue E, Desjardins G, Lamarche Y, Toupin F, Denault AY, Beaubien-Souligny W (2019) High postoperative portal venous flow pulsatility indicates right ventricular dysfunction and predicts complications in cardiac surgery patients. Br J Anaesth 122:206–214

    Article  CAS  PubMed  Google Scholar 

  21. Beaubien-Souligny W, Benkreira A, Robillard P, Bouabdallaoui N, Chasse M, Desjardins G, Lamarche Y, White M, Bouchard J, Denault A (2018) Alterations in portal vein flow and intrarenal venous flow are associated with acute kidney injury after cardiac surgery: a prospective observational cohort study. J Am Heart Assoc 7:e009961

    Article  PubMed  PubMed Central  Google Scholar 

  22. Goldhammer E, Mesnick N, Abinader EG, Sagiv M (1999) Dilated inferior vena cava: a common echocardiographic finding in highly trained elite athletes. J Am Soc Echocardiogr 12:988–993

    Article  CAS  PubMed  Google Scholar 

  23. Hedman K, Nylander E, Henriksson J, Bjarnegard N, Brudin L, Tamas E (2016) Echocardiographic characterization of the inferior vena cava in trained and untrained females. Ultrasound Med Biol 42:2794–2802

    Article  PubMed  Google Scholar 

  24. Gallix BP, Taourel P, Dauzat M, Bruel JM, Lafortune M (1997) Flow pulsatility in the portal venous system: a study of Doppler sonography in healthy adults. AJR Am J Roentgenol 169:141–144

    Article  CAS  PubMed  Google Scholar 

  25. Levey AS, Coresh J, Greene T, Stevens LA, Zhang YL, Hendriksen S, Kusek JW, Van Lente F, Epidemiology Chronic Kidney Disease (2006) Using standardized serum creatinine values in the modification of diet in renal disease study equation for estimating glomerular filtration rate. Ann Intern Med 145:247–254

    Article  CAS  PubMed  Google Scholar 

  26. Wallace DJ, Allison M, Stone MB (2010) Inferior vena cava percentage collapse during respiration is affected by the sampling location: an ultrasound study in healthy volunteers. Acad Emerg Med 17:96–99

    Article  PubMed  Google Scholar 

  27. Rudski LG, Lai WW, Afilalo J, Hua L, Handschumacher MD, Chandrasekaran K, Solomon SD, Louie EK, Schiller NB (2010) Guidelines for the echocardiographic assessment of the right heart in adults: a report from the American Society of Echocardiography endorsed by the European Association of Echocardiography, a registered branch of the European Society of Cardiology, and the Canadian Society of Echocardiography. J Am Soc Echocardiogr 23:685–713 (quiz 786-688)

    Article  PubMed  Google Scholar 

  28. Denault AY, Beaubien-Souligny W, Elmi-Sarabi M, Eljaiek R, El-Hamamsy I, Lamarche Y, Chronopoulos A, Lambert J, Bouchard J, Desjardins G (2017) Clinical significance of portal hypertension diagnosed with bedside ultrasound after cardiac surgery. Anesth Analg 124:1109–1115

    Article  PubMed  Google Scholar 

  29. Benkreira A, Beaubien-Souligny W, Mailhot T, Bouabdallaoui N, Robillard P, Desjardins G, Lamarche Y, Cossette S, Denault A (2019) Portal hypertension is associated with congestive encephalopathy and delirium after cardiac surgery. Can J Cardiol 35:1134–1141

    Article  PubMed  Google Scholar 

  30. Birnie K, Verheyden V, Pagano D, Bhabra M, Tilling K, Sterne JA, Murphy GJ, Collaborators UAiCS (2014) Predictive models for kidney disease: improving global outcomes (KDIGO) defined acute kidney injury in UK cardiac surgery. Crit Care 18:606

    Article  PubMed  PubMed Central  Google Scholar 

  31. Kellum JA, Lameire N, Aspelin P, Barsoum RS, Burdmann EA, Goldstein SL, Herzog CA, Joannidis M, Kribben A, Levey AS, MacLeod AM (2013) Kidney disease: improving global outcomes (KDIGO) CKD Work Group. KDIGO 2012 clinical practice guideline for the evaluation and management of chronic kidney disease. Kidney inter Suppl 3:1–150

    Google Scholar 

  32. Koponen T, Karttunen J, Musialowicz T, Pietilainen L, Uusaro A, Lahtinen P (2019) Vasoactive-inotropic score and the prediction of morbidity and mortality after cardiac surgery. Br J Anaesth 122:428–436

    Article  PubMed  PubMed Central  Google Scholar 

  33. Gaies MG, Gurney JG, Yen AH, Napoli ML, Gajarski RJ, Ohye RG, Charpie JR, Hirsch JC (2010) Vasoactive-inotropic score as a predictor of morbidity and mortality in infants after cardiopulmonary bypass. Pediatr Crit Care Med 11:234–238

    Article  PubMed  Google Scholar 

  34. McIntosh AM, Tong S, Deakyne SJ, Davidson JA, Scott HF (2017) Validation of the vasoactive-inotropic score in pediatric sepsis. Pediatr Crit Care Med 18:750–757

    Article  PubMed  PubMed Central  Google Scholar 

  35. Legrand M, Dupuis C, Simon C, Gayat E, Mateo J, Lukaszewicz AC, Payen D (2013) Association between systemic hemodynamics and septic acute kidney injury in critically ill patients: a retrospective observational study. Crit Care 17:R278

    Article  PubMed  PubMed Central  Google Scholar 

  36. Zampieri FG, Einav S (2019) When will less monitoring and diagnostic testing benefit the patient more? Intensive Care Med 45(10):1447–1450

    Article  PubMed  Google Scholar 

  37. Coulthard MG, Coulthard T (2019) The leaf plot: a novel way of presenting the value of tests. Br J Gen Pract 69:205–206

    Article  PubMed  PubMed Central  Google Scholar 

  38. Saxhaug L (2019) Leaf plot. In: Editor (ed)^(eds) Book Leaf plot. City, pp. Leaf plot generator

  39. Prowle JR, Echeverri JE, Ligabo EV, Ronco C, Bellomo R (2010) Fluid balance and acute kidney injury. Nat Rev Nephrol 6:107–115

    Article  PubMed  Google Scholar 

  40. Scheinfeld MH, Bilali A, Koenigsberg M (2009) Understanding the spectral Doppler waveform of the hepatic veins in health and disease. Radiographics 29:2081–2098

    Article  PubMed  Google Scholar 

  41. Mordi I, Manian U, Bagur R, Tzemos N (2019) Diagnosis and follow-up of idiopathic dilatation of inferior vena cava. Echocardiography 36:831–836

    Article  PubMed  Google Scholar 

  42. Yockelson SR, Heitner SB, Click S, Geleto G, Treggiari MM, Hutchens MP (2019) Right ventricular systolic performance determined by 2D speckle-tracking echocardiography and acute kidney injury after cardiac surgery. J Cardiothorac Vasc Anesth 33:725–731

    Article  PubMed  Google Scholar 

  43. Guinot PG, Abou-Arab O, Longrois D, Dupont H (2015) Right ventricular systolic dysfunction and vena cava dilatation precede alteration of renal function in adult patients undergoing cardiac surgery: an observational study. Eur J Anaesthesiol 32:535–542

    Article  PubMed  Google Scholar 

  44. Thiele RH, Isbell JM, Rosner MH (2015) AKI associated with cardiac surgery. Clin J Am Soc Nephrol 10:500–514

    Article  PubMed  Google Scholar 

  45. Damman K, Navis G, Smilde TD, Voors AA, van der Bij W, van Veldhuisen DJ, Hillege HL (2007) Decreased cardiac output, venous congestion and the association with renal impairment in patients with cardiac dysfunction. Eur J Heart Fail 9:872–878

    Article  PubMed  Google Scholar 

  46. Firth JD, Raine AE, Ledingham JG (1988) Raised venous pressure: a direct cause of renal sodium retention in oedema? Lancet 1:1033–1035

    Article  CAS  PubMed  Google Scholar 

  47. Singh NG, Kumar KN, Nagaraja PS, Manjunatha N (2020) Portal venous pulsatility fraction, a novel transesophageal echocardiographic marker for right ventricular dysfunction in cardiac surgical patients. Ann Card Anaesth 23:39–42

    Article  PubMed  PubMed Central  Google Scholar 

  48. Huguet R, Fard D, d’Humieres T, Brault-Meslin O, Faivre L, Nahory L, Dubois-Rande JL, Ternacle J, Oliver L, Lim P (2018) Three-dimensional inferior vena cava for assessing central venous pressure in patients with cardiogenic shock. J Am Soc Echocardiogr 31:1034–1043

    Article  PubMed  Google Scholar 

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Acknowledgements

None.

Funding

William Beaubien‐Souligny has received support from Fonds de Recherche du Québec en Santé (FRQS). The costs for laboratory measurements were covered by the SQIC‐Alliance BMS‐Pfizer grant on heart failure and renal failure from Société Québécoise de l’Insuffisance Cardiaque (SQIC). Denault is supported by the Montreal Heart Institute Foundation and the Richard Kaufman Endowment Fund in Anesthesiology and Critical Care. The funding sources had no role in the conduct of the study.

Author information

Authors and Affiliations

  1. Department of Anesthesiology and Intensive Care, Montreal Heart Institute, Université de Montréal, Montreal, QC, Canada

    William Beaubien-Souligny & André Y. Denault

  2. Division of Nephrology, Centre Hospitalier de l’Université de Montreal, 1000, Rue St-Denis, Montreal, QC, H2X 0C1, Canada

    William Beaubien-Souligny

  3. Division of Intensive Care, Santa Cabrini Hospital, Montreal, QC, Canada

    Philippe Rola

  4. Department of Emergency Medicine, Loma Linda University School of Medicine, Loma Linda, CA, 92354, USA

    Korbin Haycock

  5. Division of Nephrology, Hôpital Sacré-Cœur de Montréal, Montreal, QC, Canada

    Josée Bouchard

  6. Department of Surgery and Critical Care, Montreal Heart Institute, Université de Montréal, Montréal, QC, Canada

    Yoan Lamarche

  7. Departments of Critical Care and Emergency Medicine, Washington Hospital Center, Georgetown University, Washington, DC, USA

    Rory Spiegel

  8. Division of Intensive Care, Centre Hospitalier de L’Université de Montreal, Montreal, QC, Canada

    André Y. Denault

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  1. William Beaubien-Souligny
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Contributions

WBS designed and conducted the study, performed data analysis and drafted the manuscript, PL, KH and RS contributed to the design of the study and reviewed the manuscript, JB and YL contributed to data analysis and reviewed the manuscript, AYD overviewed the conduct of the study, contributed to study design, to results interpretation and reviewed the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to William Beaubien-Souligny.

Ethics declarations

Ethics approval and consent to participate

Written consent was obtained for all patients and the project was approved by the Montreal Heart Institute Ethics Committee (2016-1946).

Consent for publication

Not applicable.

Competing interests

André Y. Denault is a Speaker for CAE Healthcare, Edwards and Masimo. The other authors have no conflict of interest to declare.

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Supplementary information

Additional file 1.

Quantifying systemic congestion with Point-Of-Care ultrasound: development of the Venous EXcess UltraSound (VExUS) grading system.

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Beaubien-Souligny, W., Rola, P., Haycock, K. et al. Quantifying systemic congestion with Point-Of-Care ultrasound: development of the venous excess ultrasound grading system. Ultrasound J 12, 16 (2020). https://doi.org/10.1186/s13089-020-00163-w

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Keywords

  • Acute kidney injury
  • Cardiac surgery
  • Point-Of-Care ultrasound
  • Venous congestion
  • Fluid balance