Literature DB >> 33132560

Combination of Inferior Vena Cava Diameter, Hepatic Venous Flow, and Portal Vein Pulsatility Index: Venous Excess Ultrasound Score (VEXUS Score) in Predicting Acute Kidney Injury in Patients with Cardiorenal Syndrome: A Prospective Cohort Study.

Vimal Bhardwaj1, Gunaseelan Vikneswaran2, Philippe Rola3, Siddharth Raju4, Rammohan S Bhat5, Arunkumar Jayakumar5, Arjun Alva1.   

Abstract

BACKGROUND: Fluid overload is deleterious in critically ill patients. It can lead to venous congestion, thereby increasing venous pressure, theoretically increasing the backpressure, and thereby reducing renal blood flow. Venous congestion thus can be an important contributor to acute kidney injury (AKI), with no validated tools to objectively identify venous congestion bedside.
MATERIALS AND METHODS: Patients above 18 years admitted in ICU with a provisional diagnosis of cardiorenal syndrome were included in the study. Those with inadequate window, inferior vena cava (IVC) thrombus, and known case of cirrhosis with portal hypertension were excluded from the study. Patients underwent ultrasound examination with serial determination till AKI resolved or patient is initiated on dialysis. Venous excess ultrasound score (VEXUS) comprising inferior vena cava, hepatic vein waveform, and portal vein pulsatility was assessed.
RESULTS: Thirty patients were enrolled for the study. The mean age was 59.53 ± 16.47 with 21 (70%) males. Mean sequential organ failure assessment (SOFA) score was 5.03 ± 1.97. Fourteen patients (46.7%) were in AKI stage 1, while eight patients (26.7%) were in AKI stage 2 and stage 3 each. Twenty patients (66.7%) had VEXUS grade III. Resolution of AKI injury showed significant correlation with improvement in VEXUS grade (p value 0.003). Similarly, there was significant association between changes in VEXUS grade and fluid balance (p value 0.006). There was no correlation between central venous pressure (CVP), left ventricular function, and right ventricular function with change in VEXUS grade.
CONCLUSION: The study shows that a combined grading of IVC, hepatic vein, and portal vein might reliably demonstrate venous congestion and aid in the clinical decision to perform fluid removal. HOW TO CITE THIS ARTICLE: Bhardwaj V, Vikneswaran G, Rola P, Raju S, Bhat RS, Jayakumar A, et al. Combination of Inferior Vena Cava Diameter, Hepatic Venous Flow, and Portal Vein Pulsatility Index: Venous Excess Ultrasound Score (VEXUS Score) in Predicting Acute Kidney Injury in Patients with Cardiorenal Syndrome: A Prospective Cohort Study. Indian J Crit Care Med 2020;24(9):783-789.
Copyright © 2020; Jaypee Brothers Medical Publishers (P) Ltd.

Entities:  

Keywords:  Acute kidney injury; Fluid balance; Portal vein pulsatility; Venous congestion; Volume overload

Year:  2020        PMID: 33132560      PMCID: PMC7584837          DOI: 10.5005/jp-journals-10071-23570

Source DB:  PubMed          Journal:  Indian J Crit Care Med        ISSN: 0972-5229


Background

Fluid overload is deleterious in critically ill patients; apart from increased mortality, it can cause end-organ damage, thereby increasing the incidence of acute kidney injury (AKI), length of stay in ICU, and duration of mechanical ventilation.[1-3] The attributable mortality to AKI is 20% and is an independent predictor of mortality.[4] Fluid overload leads to venous congestion, thereby increasing venous pressure and theoretically increasing the backpressure and reducing renal blood flow, and since kidneys are encapsulated organs it might make them more sensitive to this effect. There is no clear consensus to measure renal venous pressure. Clinical signs of fluid overload like peripheral edema and ascites are poor indicators of fluid overload in the ICU setup.[5] Central venous pressure (CVP), which is routinely used in ICU, has shown to be associated with increased incidence of AKI, but CVP as a single measure reflecting venous pressure is highly questionable as there is no clear consensus on reference value, position of the patients, effect of varying intrathoracic pressure in mechanically ventilated patients, and might not reflect preload directly.[6,7] In view of lack of reliable peripheral signs of venous congestion, objective determination of the same is the need of the hour to aid key clinical decisions like stopping fluids, diuretic administration, and management of AKI, to name a few. The underlying physiological principle has been considered to grade venous congestion bedside. The inferior vena cava (IVC) is the initial screen for venous congestion. Whether due to increased stressed venous volume or an increased right atrial pressure (for any given reason), the first venous compartment where congestion becomes apparent is the IVC. In an observational trial by Guinot et al., right ventricular systolic dysfunction and venacaval dilatation preceded altered renal function in postoperative cardiac surgery patients serving as a marker of venous congestion.[8] Dilated inferior vena cava was associated with renal failure but it was found to be inconsistent as a marker for hemodynamic congestion.[9] When the IVC reaches the flat part of its compliance, the pressure begins to be transmitted in a retrograde fashion and dilation of the hepatic venous tree is seen and so on for the renal veins. The portal system may show abnormalities as the congestion becomes more severe, making it potentially a more specific marker of an injurious level of congestion. This likely takes place because the pressure has to transmit across the hepatic sinusoids, which buffer the hepatic venous pressure. Eventually, the portal venous flow pattern changes, going from a monophasic signal to a progressively more pulsatile pattern that can eventually become interrupted (100% pulsatility). A fairly linear relationship between right atrial pressure and the portal vein pulsatility index has been described in congestive heart failure (CHF) patients in acute exacerbation.[10] A case series published by Denault et al. on post-cardiac surgery patients showed portal vein Doppler assessment to be a promising modality for end-organ venous congestion in post-cardiac surgery patients.[11] Portal vein is subjected to variation because of body habitus and intrathoracic pressure.[12,13] Hence, venous congestion leads to distension of IVC followed by hepatic venous flow abnormality along with development of portal vein pulsatility and renal venous Doppler flow abnormalities, which was proposed as the VEXUS scoring system.[10] By utilizing multiple parameters, the negative aspects of individual parameters might get negated and emerge as a reliable tool to assess congestion of kidneys. There has been a greater emphasis on maintaining the perfusion than identifying venous congestion, which can be an important contributor to AKI; there are no validated tools to objectively identify venous congestion bedside, hence we hypothesize that venous excess ultrasound score (VEXUS), which uses three parameters, i.e., inferior vena cava, hepatic vein waveform, and portal vein pulsatility, correlates with severity of fluid overload. In our study, we have not included renal venous Doppler, which was proposed in the original VEXUS score.

Materials and Methods

The single-center prospective study was conducted at medical ICU and recruited patients admitted with provisional diagnosis of cardiorenal syndrome during a period of 6 months from September 2019 to February 2020. Patients aged more than 18 years being admitted to ICU with a provisional diagnosis of cardiorenal syndrome were eligible for the study. Patients were excluded from study if they were known cases of cirrhosis with portal hypertension, not willing for ultrasound examination, inadequate window, and IVC thrombus. Patients enrolled in the study underwent ultrasound examination with serial determination till AKI resolved or patient is initiated on dialysis. The study was approved by the institutional ethics committee. The primary objective was to assess the correlation between serial VEXUS score and AKI in patients with cardiorenal syndrome. The secondary objective was to assess correlation between VEXUS score and fluid balance, right heart function, and clinical signs of fluid overload.

Data Collection

Demographic details along with clinical diagnosis and AKI staging done were noted. Creatinine measurements with urine output, daily fluid balance and sequential organ failure assessment (SOFA) score, CVP, MAP, vasopressors use, if any, use of mechanical/noninvasive mechanical ventilation, baseline echocardiographic recording of ejection fraction, pulmonary artery pressure, TAPSE, use of nephrotoxic agents, and contrast administration were documented on a daily basis. Serial digital images of the deidentified patients’ data were recorded and maintained in a digital library. Daily VEXUS score along with AKI staging was done for all the enrolled patients. Acute kidney injury was defined by the AKIN criteria and staging was done according to the AKIN criteria. The AKIN classification was used in the study; an increase in serum creatinine of more than 0.3 mg/dL or a decrease in urine output within 48 hours will be considered as AKI.[14,15]

Ultrasound Assessment

Ultrasound assessment was performed bedside using Sonosite M Turbo machine using a curvilinear abdominal probe of 8–3 MHz by intensivist who is experienced in ultrasound examination for at least 3 years. The investigator performing the ultrasound examination was blinded to serum creatinine values. Patients were positioned in the dorsal decubitus position with headend of bed elevation between 0° and 30°. Hepatic Doppler visualizing either the middle hepatic vein in the subxiphoid area or the right hepatic vein from a lateral angle was done. Similarly, the portal vein Doppler was interrogated from a lateral approach. As for all Doppler examinations, the waveforms were traced during a respiratory pause, if respiratory liver movement prevented proper trace generation. The IVC is interrogated in long and short axis along the intrahepatic segment and a visual average is done. Respiratory variation was defined as a 20% or more change in surface area in the short axis. Grade 0: <5 mm with respiratory variation Grade I: 5–9 mm with respiratory variation Grade II: 10–19 mm with respiratory variation Grade III: >20 mm with respiratory variation Grade IV: >20 mm with minimal or no respiratory variation Hepatic vein (HV): interrogation by pulsed wave Doppler, identification and analysis of A, S, and D waves: Grade 0: normal S > D Grade I: S < D with antegrade S Grade III: S flat or inverted or biphasic trace We have chosen the approach that the S wave is normally the larger of the two negative deflections. Portal vein Doppler (PD) Portal vein (PV) interrogation Grade 0: <0.3 pulsatility index Grade I: 0.3–0.49 pulsatility index Grade III: 0.5–1.0 pulsatility index Pulsatility index is calculated as (Vmax − Vmin)/Vmax The individual Doppler staging has been compiled into VEXUS staging of venous congestion. Venous Excess Ultrasound Score (VEXUS) Grade 0: IVC grade Grade I: IVC grade IV, but normal HV/PV pattern Grade II: IVC grade IV with mild flow pattern abnormalities in HV/PV Grade III: IVC grade IV with severe flow pattern abnormalities in HV/PV

Statistical Analysis

Data were analyzed using the SPSS software version 19. Continuous variables were expressed using mean and standard deviation. Categorical variables were expressed using frequency and percentage. Patients were categorized into three groups (VEXUS score improving, no change, and worsening) based on change in VEXUS score from baseline. Association between change in VEXUS score and improvement in AKI grading was analyzed by the Fischer exact test. For secondary objective, the Fischer exact test was used to test for association between VEXUS score and signs of fluid balance, right heart function, and clinical signs of fluid overload. The Kruskal–Wallis test used to compare fluid balance between the three categories of VEXUS score followed by the Bonferroni test for between group comparison. The p value less than 0.05 was considered statistically significant.

Results

A total of 35 patients were enrolled into the study, and 5 patients were excluded in view of poor visualization of portal and hepatic vein. Thirty patients with AKI were included for the study with a mean age of 59.53 ± 16.47. Seventy percent of them (21 of 30) were males. Mean SOFA score was 5.03 ± 1.97. Fourteen patients (46.7%) were in AKI stage 1, while eight patients (26.7%) were in AKI stage 2 and stage 3 each. Twenty patients (66.7%) had a VEXUS grade III (Table 1).
Table 1

Baseline characteristics of study subjects

VariableDescription (n = 30)
Age (years)59.53 ± 16.47
Gender
    Male (%)21 (70%)
Diagnosis
    Cor pulmonale with AKI8 (26.66%)
    Decompensated heart failure with AKI17 (56.66%)
    Myocarditis with AKI5 (16.66%)
Central venous pressure18.20 ± 4.75
AKIN stage
    Stage 114 (46.7%)
    Stage 28 (26.7%)
    Stage 38 (26.7%)
VEXUS score
    03 (10%)
    12 (6.7%)
    25 (16.7%)
    320 (66.7%)
SOFA score5.03 ± 1.97
Ascitis15 (50%)
Pulmonary edema14 (46.7%)
Pedal edema29 (96.7%)
Pleural effusion13 (43.3%)
Sepsis5 (16.7%)
Mechanical ventilation23 (76.7%)
Vasopressors6 (20%)
Cardiac function
    Ejection fraction%42.50 ± 10.06
    Pulmonary artery systolic pressure (PASP) mm Hg45.63 ± 12.10

Continuous variables expressed as mean and standard deviation. Categorical variables expressed in frequency and percentage. AKI, acute kidney injury

Patients were categorized on day 3 based on VEXUS grade as improving, no change, or worsening. Resolution of AKI injury showed significant correlation with improvement in the VEXUS grade (p value 0.003). Similarly, there was significant association between changes in the VEXUS grade and fluid balance (p value 0.006). There was no correlation between CVP, left ventricular function, and right ventricular function with change in VEXUS grade (Table 2). There was a significant difference in fluid balance between the VEXUS score improving group (0.20 ± 1.24) compared to the no change group (1.67 ± 1.03) and the worsening group (1.00 ± 0.00) (p value 0.03).
Table 2

Comparison of change in kidney function and fluid balance with change in VEXUS score

VEXUS score improvingVEXUS score no changeVEXUS score worseningp value
AKI0.003*
     Resolving20 (87%)3 (13%)0
     Not resolving2 (28.6%)3 (42.9%)2 (28.6%)
Fluid balance as
     Decreasing17 (89.5%)2 (10.5%)00.006*
     Increasing3 (33.3%)4 (44.4%)2 (22.2%)
Fluid balance in liters day 20.20 ± 1.241.67±1.031.00 ± 0.000.03
CVP0.15
     Normalized8 (88.9%)01 (11.1%)
     Not normalized12 (63.2%)6 (31.6%)1 (5.3%)
LVF0.65
     Normal15 (78.9%)3 (15.8%)1 (5.3%)
     Reduced7 (63.6%)3 (27.3%)1 (9.1%)
RVF0.19
     Normal16 (84.2%)2 (10.5%)1 (5.3%)
     Reduced6 (54.5%)4 (36.4%)1 (9.1%)

Statistical test used the Fischer exact test for categorical outcomes and the Kruskal–Wallis test for fluid balance in liters. *p value less than 0.05 considered statistically significant. CVP, central venous pressure; LVF, left ventricular function; RVF, right ventricular function

Figure 1 shows relationship between the VEXUS grade and AKI staging. With improvement in kidney function, there is decline in the VEXUS grade as well.
Fig. 1

Intrahepatic portion of IVC with no respiratory variation (grade IV IVC according to staging)

Patients were assessed for the presence of pulmonary edema, pleural effusion, pedal edema, and ascites and were categorized based on the number of positive signs. Peripheral signs of volume overload were not associated with change in the VEXUS grade (Table 3). There was no association with use of IV fluids, inotropes, diuretics, and dialysis on change in VEXUS grades (Table 4).
Table 3

Association of VEXUS score with signs of volume load

Peripheral signsVEXUS score improvingVEXUS score no changeVEXUS score worseningp value
One sign positive7 (70%)3 (30%)00.67
Two positive signs6 (85.7%)1 (14.3%)0
Three positive signs3 (60%)1 (20%)1 (20%)
Four positive signs6 (75%)1 (12.5%)1 (12.5%)

Patients were assessed for the presence of pulmonary edema, pleural effusion, pedal edema, and ascites and were categorized based on the number of positive signs. Statistical test used: Fischer exact test.

Table 4

Association of VEXUS score with treatment

TreatmentVEXUS score improvingVEXUS score no changeVEXUS score worseningp value
IV fluid yes1 (33.3%)2 (66.7%)00.10
No21 (77.8%)4 (14.8%)2 (7.4%)
Dialysis yes1 (50%)1 (50%)00.53
No21 (75%)5 (17.9%)2 (7.1%)
Inotropes yes10 (83.3%)1 (8.3%)1 (8.3%)0.42
No12 (66.7%)5 (27.8%)1 (5.6%)
Diuretics yes18 (72%)5 (20%)2 (8%)0.80
No4 (80%)1 (20%)0

Statistical test used the Fischer exact test

Discussion

Acute kidney injury is characterized by a rapid deterioration of kidney function; its occurrence in the ICU is associated with significant mortality and morbidity with an attributable mortality of 40–65%.[1] Baseline characteristics of study subjects Continuous variables expressed as mean and standard deviation. Categorical variables expressed in frequency and percentage. AKI, acute kidney injury Acute kidney injury can be caused by multiple factors, i.e., circulatory failure, sepsis, nephrotoxic agents, vasopressors, as well as venous congestion. There has long been an emphasis on forward flow, with a focus on maintaining MAP, avoiding nephrotoxic agents, as well as the aggressive treatment of sepsis. However, the quest to achieve normovolemia and normotension with aggressive fluid therapy and vasopressors may be counterproductive as it can lead to fluid overload and venous congestion leading to a decrease in organ perfusion. Indeed, the focus, traditionally being on managing the inflow pressure (MAP), the outflow pressure, a critical determinant of the organ perfusion pressure, is generally overlooked in clinical practice, with important consequences (Figs 2 to 6).
Fig. 2

Hepatic venous Doppler showing S wave and D wave (normal waveforms). The image has been taken from venous congestion chapter by Dr Philippe Rola after permission[7]

Fig. 6

Change in VEXUS grade with change in AKI stage

Our study uses a new scoring system: the VEXUS for the evaluation of venous congestion in a cohort of patients with cardiorenal syndrome. As AKI has many confounding factors, we chose cardiorenal syndrome patients as they are more prone to venous congestion. The study tests the utility of bedside serial ultrasonographic examination of two-dimensional and spectral Doppler imaging of the inferior vena cava, hepatic vein, and portal vein, with a derived scoring system based on hypothesis that the first venous compartment where congestion becomes apparent is the IVC. When the IVC reaches the flat part of its compliance, the pressure begins to be transmitted in a retrograde fashion and dilation of the hepatic venous tree is seen followed by the development of portal vein pulsatility and renal venous Doppler flow abnormalities. This scoring system was first validated by Beaubien-Souligny et al. in postoperative cardiac surgery patients where a significant association was found between an elevated VEXUS score and the development of AKI.[16] Comparison of change in kidney function and fluid balance with change in VEXUS score Statistical test used the Fischer exact test for categorical outcomes and the Kruskal–Wallis test for fluid balance in liters. *p value less than 0.05 considered statistically significant. CVP, central venous pressure; LVF, left ventricular function; RVF, right ventricular function Intrahepatic portion of IVC with no respiratory variation (grade IV IVC according to staging) Our study results support the hypothesis that serial VEXUS scoring is correlated with AKI staging. Among 30 patients, 20 patients with resolving AKI correlated with the downward/improving trend of VEXUS score accounting for 87% of cases associated with a decreasing trend of fluid balance. Five patients who had worsening of AKI showed either no change or worsening in VEXUS score correlating with the clinical picture. This finding shows that the dynamic trend of VEXUS grading correlated with the improving clinical condition. Association of VEXUS score with signs of volume load Patients were assessed for the presence of pulmonary edema, pleural effusion, pedal edema, and ascites and were categorized based on the number of positive signs. Statistical test used: Fischer exact test. Association of VEXUS score with treatment Statistical test used the Fischer exact test Hepatic venous Doppler showing S wave and D wave (normal waveforms). The image has been taken from venous congestion chapter by Dr Philippe Rola after permission[7] Elevated CVP correlated with AKI as corroborated by a meta-analysis done by Chen et al.[11] Central venous pressure did not normalize in those patients with AKI resolution showing CVP trend might not truly reflect the clinical picture because of its limitations, and possibly also because different patients may have different levels of tolerance of CVP, whereas Doppler flow markers may better reflect the severity of organ congestion and potential dysfunction. Peripheral signs of fluid overload did not correlate with AKI, which reemphasizes the fact that they might not truly reflect the intravascular volume status.[5] Right heart dysfunction and VEXUS scoring did not have a statistically significant association suggesting that a high congestion score and its resolution reflecting resolving AKI was associated with venous fluid overload and not necessarily with cardiac dysfunction per se. This study adds to the growing body of literature underscoring the critical importance of the venous side of the circulation, which, although not a novel concept,[17] has been largely overlooked in favor of the arterial side ever since critical care has existed. Normal or grade 0 HD with S wave more than D wave Hepatic venous Doppler showing grade I congestion (the image has been taken from venous congestion chapter by Dr Philippe Rola after permission) (A) Monophasic portal vein grade 0; (B) Portal vein Doppler showing 100% pulsatility grade II PD Change in VEXUS grade with change in AKI stage With the growing availability of point-of-care ultrasound (POCUS), dynamic flow parameters of physiology are becoming increasingly available to the clinician, many of which only require basic echographic competence. Along with the increasing prevalence of POCUS training in the core medical curriculum, this should change the landscape of clinical assessment in the next decade. Approach to AKI patient Given the prevalence of AKI in critically ill patients, fluid therapy is an important question. Unfortunately, clinicians today are confronted with contradictory data in the literature, with fluid resuscitation goals (SCCM reference of 8–12 CVP)[18] and renal dysfunction indicators (Damman et al. up curve at 6–8 CVP of renal) being at odds with each other.[19] Limitations of the study mainly include single-center study, small sample size, and observational design with no randomization of the patient. Additionally, as an observational study, it is hypothesis-generating, and a therapeutic direction cannot be widely implemented solely on its basis. Also, it is conducted in a specific group of patients with AKI that is cardiorenal syndrome. Future directions: the VEXUS grading may be a useful tool in acute care and can be employed in various critical care scenarios: As a fluid stop and/or removal point in any fluid resuscitation (sepsis, hypovolemia) As a routine parameter in the evaluation of AKI to aid the clinical decision to add/increase the dose of diuretic and/or inotropic support In the critical phase of viral syndromes (severe dengue) to decide on fluids/diuretics We propose a new flow chart as an initial approach to AKI subject to further testing by interventional clinical trials (Flowchart 1).
Flowchart 1

Approach to AKI patient

Conclusion

The above results show that a combined grading of IVC, hepatic vein, and portal vein might reliably demonstrate venous congestion and aid in the clinical decision to perform fluid removal. We conclude that bedside sonographic assessment of dynamic blood flow parameters is of great importance and warrants urgent further interventional trials.
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2.  Clinical Significance of Portal Hypertension Diagnosed With Bedside Ultrasound After Cardiac Surgery.

Authors:  André Y Denault; William Beaubien-Souligny; Mahsa Elmi-Sarabi; Roberto Eljaiek; Ismail El-Hamamsy; Yoan Lamarche; Alexandra Chronopoulos; Jean Lambert; Josée Bouchard; Georges Desjardins
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Journal:  J Crit Care       Date:  2015-04-09       Impact factor: 3.425

4.  The limited reliability of physical signs for estimating hemodynamics in chronic heart failure.

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5.  Surviving Sepsis Campaign: International Guidelines for Management of Sepsis and Septic Shock: 2016.

Authors:  Andrew Rhodes; Laura E Evans; Waleed Alhazzani; Mitchell M Levy; Massimo Antonelli; Ricard Ferrer; Anand Kumar; Jonathan E Sevransky; Charles L Sprung; Mark E Nunnally; Bram Rochwerg; Gordon D Rubenfeld; Derek C Angus; Djillali Annane; Richard J Beale; Geoffrey J Bellinghan; Gordon R Bernard; Jean-Daniel Chiche; Craig Coopersmith; Daniel P De Backer; Craig J French; Seitaro Fujishima; Herwig Gerlach; Jorge Luis Hidalgo; Steven M Hollenberg; Alan E Jones; Dilip R Karnad; Ruth M Kleinpell; Younsuk Koh; Thiago Costa Lisboa; Flavia R Machado; John J Marini; John C Marshall; John E Mazuski; Lauralyn A McIntyre; Anthony S McLean; Sangeeta Mehta; Rui P Moreno; John Myburgh; Paolo Navalesi; Osamu Nishida; Tiffany M Osborn; Anders Perner; Colleen M Plunkett; Marco Ranieri; Christa A Schorr; Maureen A Seckel; Christopher W Seymour; Lisa Shieh; Khalid A Shukri; Steven Q Simpson; Mervyn Singer; B Taylor Thompson; Sean R Townsend; Thomas Van der Poll; Jean-Louis Vincent; W Joost Wiersinga; Janice L Zimmerman; R Phillip Dellinger
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Authors:  Kevin Damman; Vincent M van Deursen; Gerjan Navis; Adriaan A Voors; Dirk J van Veldhuisen; Hans L Hillege
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Authors:  Pierre Grégoire Guinot; Osama Abou-Arab; Dan Longrois; Herve Dupont
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Authors:  Ravindra L Mehta; John A Kellum; Sudhir V Shah; Bruce A Molitoris; Claudio Ronco; David G Warnock; Adeera Levin
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Review 10.  Renal failure in critically ill patients, beware of applying (central venous) pressure on the kidney.

Authors:  Xiukai Chen; Xiaoting Wang; Patrick M Honore; Herbert D Spapen; Dawei Liu
Journal:  Ann Intensive Care       Date:  2018-09-20       Impact factor: 6.925

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