Sunday, November 9, 2025

Venous Congestion and Microcirculatory Dysfunction: A Paradigm Shift

 

Venous Congestion and Microcirculatory Dysfunction: A Paradigm Shift in Critical Care Assessment

Dr Neeraj Manikath , claude.ai

Abstract

Venous congestion has emerged as a critical yet historically underappreciated determinant of organ dysfunction in critically ill patients. Traditional hemodynamic management has focused predominantly on arterial perfusion and cardiac output, often overlooking the venous side of circulation. Recent evidence demonstrates that elevated venous pressures impair microcirculatory flow, compromise organ perfusion, and independently predict adverse outcomes. The Venous Excess Ultrasound (VExUS) score represents a paradigm shift, offering bedside assessment of systemic venous congestion through integrated evaluation of inferior vena cava distension and organ-specific venous Doppler patterns. This review synthesizes current understanding of venous congestion pathophysiology, explores its impact on microcirculation, and provides practical guidance for implementing VExUS and related assessment tools in critical care practice.

Introduction

The traditional approach to hemodynamic resuscitation in critical care has been dominated by the Starling curve paradigm—optimizing preload to maximize cardiac output and oxygen delivery. However, mounting evidence suggests this arterial-centric model is incomplete. Venous congestion, defined as elevated central venous pressure (CVP) with resultant backward transmission into organ-specific venous beds, has been independently associated with acute kidney injury, liver dysfunction, and increased mortality across diverse critical care populations.

The concept is elegantly simple yet clinically profound: while inadequate arterial flow causes ischemic injury, excessive venous pressure causes congestive injury. The kidney, liver, intestines, and other abdominal organs are particularly vulnerable due to their low-pressure venous drainage systems and capsular constraints that limit edema accommodation.

Pearl #1: Think of organ perfusion pressure not just as MAP minus CVP, but consider that the CVP itself represents the downstream resistance to organ blood flow. High CVP is analogous to trying to empty a bathtub while the drain is partially blocked—inflow matters little if outflow is impaired.

Pathophysiology of Venous Congestion

Microcirculatory Effects

Venous congestion compromises microcirculation through multiple mechanisms:

  1. Increased capillary hydrostatic pressure: Elevated venous pressure transmits retrograde into capillary beds, driving fluid extravasation, interstitial edema, and compression of adjacent microvessels.

  2. Reduced perfusion pressure gradient: Organ perfusion pressure (OPP) equals mean arterial pressure (MAP) minus organ venous pressure. Elevated CVP directly reduces this gradient, decreasing microcirculatory flow even when MAP is adequate.

  3. Endothelial glycocalyx degradation: Sustained venous hypertension damages the glycocalyx, increasing permeability and perpetuating edema formation.

  4. Lymphatic overload: Chronically elevated venous pressures overwhelm lymphatic drainage capacity, allowing progressive fluid accumulation.

Studies using sublingual videomicroscopy have demonstrated that elevated CVP correlates with reduced microcirculatory perfusion, decreased functional capillary density, and increased heterogeneity of flow—changes that persist despite adequate systemic hemodynamics.

Organ-Specific Vulnerability

Kidney: Renal venous congestion increases renal interstitial pressure, compresses peritubular capillaries, and reduces glomerular filtration. The concept of "congestive acute kidney injury" recognizes that elevated CVP may be more predictive of renal dysfunction than decreased cardiac output in many contexts.

Liver: Hepatic congestion impairs sinusoidal flow, leading to centrilobular hypoxia, hepatocyte injury, and elevated liver enzymes. Chronic congestion contributes to cardiac cirrhosis and hepatorenal syndrome.

Intestine: Splanchnic venous congestion increases mucosal permeability, potentially contributing to bacterial translocation and systemic inflammation.

Pearl #2: The "congestion-first" hypothesis suggests that in many critically ill patients, particularly those with heart failure or fluid overload, venous congestion precedes and may be more clinically significant than arterial hypoperfusion. This challenges the reflexive pursuit of higher cardiac output through aggressive fluid administration.

The VExUS Score: A Practical Assessment Tool

Conceptual Framework

The Venous Excess Ultrasound (VExUS) score, first described by Beaubien-Souligny and colleagues, provides a semi-quantitative assessment of systemic venous congestion by integrating:

  1. Inferior vena cava (IVC) diameter: Measured in the subcostal view, 2-4 cm from the right atrial junction during quiet respiration
  2. Hepatic vein Doppler: Pulsatility patterns reflecting right atrial pressure transmission
  3. Portal vein Doppler: Pulsatility indicating hepatic congestion
  4. Intrarenal venous Doppler: Flow patterns in segmental or interlobar renal veins

VExUS Grading System

Grade 0 (No congestion):

  • IVC diameter <2 cm
  • Normal continuous hepatic vein flow
  • Continuous portal vein flow
  • Continuous intrarenal venous flow

Grade 1 (Mild congestion):

  • IVC diameter ≥2 cm
  • Normal or mildly abnormal organ venous patterns

Grade 2 (Moderate congestion):

  • IVC diameter ≥2 cm
  • Abnormal flow in one organ system (severe hepatic vein pulsatility, portal vein pulsatility, or biphasic/monophasic intrarenal venous flow)

Grade 3 (Severe congestion):

  • IVC diameter ≥2 cm
  • Abnormal flow in two or more organ systems

Technical Performance

Hepatic Vein Doppler: Place the probe in the right anterior axillary line, 1-2 intercostal spaces below the xiphoid, angled medially and cranially. Normal hepatic vein flow shows gentle pulsatility (S>D pattern). Severe congestion produces marked pulsatility or flow reversal (S<D or S-reversal patterns).

Portal Vein Doppler: Image from the same position or subcostally. Normal portal flow is continuous and hepatopetal (toward the liver). Pulsatility >30-50% is abnormal, indicating elevated right-sided pressures.

Intrarenal Venous Doppler: Using a low-frequency probe, identify arcuate or interlobar veins at the corticomedullary junction. Normal flow is continuous. Biphasic flow (flow in systole and diastole with a notch) or monophasic flow (only diastolic flow) indicates congestion.

Hack #1: For intrarenal venous Doppler, reduce the Doppler gain and scale (velocity range 10-20 cm/s) to visualize the subtle venous waveforms. Use color Doppler to identify veins (blue, away from probe), then apply pulsed-wave Doppler. The signal is often faint—patience and practice are essential.

Clinical Evidence and Applications

Association with Outcomes

Multiple studies have validated VExUS as a predictor of clinical outcomes:

  • A prospective study of cardiac surgery patients found VExUS grade ≥2 was independently associated with postoperative acute kidney injury (OR 3.69, 95% CI 1.65-8.26).
  • In critically ill patients, higher VExUS scores correlated with longer ICU stay and increased need for renal replacement therapy.
  • Serial VExUS assessments showed that improvement in congestion grade was associated with renal recovery and successful liberation from mechanical ventilation.

Guiding Deresuscitation

VExUS has particular utility in guiding fluid removal during the deresuscitative phase of critical illness. Traditional markers (clinical exam, CVP, fluid balance) have limited sensitivity for detecting venous congestion. VExUS provides objective, real-time assessment to:

  • Identify patients who may benefit from diuresis or ultrafiltration
  • Titrate the rate and intensity of fluid removal
  • Recognize when adequate decongestion has been achieved
  • Avoid excessive depletion that could compromise perfusion

Oyster #1: VExUS should not replace clinical judgment or be used in isolation. A patient with VExUS grade 3 who is hemodynamically stable may require gradual, cautious decongestion, while one with hypoperfusion requires different management. Integration with other assessments (lactate, skin perfusion, urine output) is essential.

Beyond VExUS: Complementary Assessment Tools

Point-of-Care Ultrasound (POCUS)

Lung ultrasound: B-lines quantify pulmonary congestion, complementing VExUS assessment of systemic venous congestion. The combination provides comprehensive evaluation of fluid status.

LVEF and RV function: Echocardiographic assessment identifies cardiac dysfunction driving congestion and guides therapy.

Jugular venous Doppler: Non-invasive assessment of CVP through internal jugular vein waveform analysis.

Near-Infrared Spectroscopy (NIRS)

StO2 measurements can assess tissue oxygenation at the microcirculatory level, potentially identifying occult hypoperfusion despite adequate systemic hemodynamics.

Sublingual Videomicroscopy

While primarily a research tool, handheld vital microscopy devices are emerging for bedside microcirculatory assessment. Parameters include microvascular flow index, perfused vessel density, and heterogeneity index.

Hack #2: When VExUS suggests significant congestion but you're uncertain about tolerability of diuresis, perform a "fluid responsiveness test in reverse"—give a small diuretic bolus (e.g., furosemide 20-40 mg) and reassess after 2-4 hours. Improvement in VExUS grade, increased urine output, and stable hemodynamics confirm safety of continued decongestion.

Practical Implementation Strategy

Step-by-Step Approach

  1. Baseline assessment: Perform VExUS examination on admission and when clinical status changes
  2. Integration: Combine VExUS with physical examination, laboratory markers (BNP, creatinine), and other POCUS findings
  3. Therapeutic decision-making: Use VExUS grade to guide timing and aggressiveness of fluid removal
  4. Reassessment: Repeat VExUS every 12-24 hours during active fluid management
  5. Documentation: Record findings systematically to track trends

Common Pitfalls

  • Technical errors: Inadequate image quality, incorrect Doppler settings, or anatomical variation can produce misleading results. Training and quality assurance are critical.
  • Overinterpretation: VExUS provides one data point. Clinical context, trends, and complementary assessments must inform decisions.
  • Timing: VExUS is most informative during the de-resuscitative phase, after initial hemodynamic stabilization. In shock states with ongoing hypoperfusion, congestion assessment may need to be deferred.

Pearl #3: Not all "congestion" is equal. Acute congestion (cardiogenic shock, massive fluid overload) may respond rapidly to intervention, while chronic congestion (advanced heart failure, cirrhosis) represents structural adaptation that cannot be quickly reversed. Adjust expectations and goals accordingly.

Future Directions

Automation and AI

Machine learning algorithms may enable automated VExUS scoring from ultrasound images, reducing operator dependence and variability.

Continuous Monitoring

Wearable or implantable sensors capable of real-time venous pressure monitoring could revolutionize management of chronic heart failure and guide outpatient diuretic titration.

Personalized Thresholds

Individual optimal venous pressure may vary based on chronic adaptation, comorbidities, and acuity. Research into personalized targets could improve outcomes.

Mechanistic Studies

Further investigation of how specific VExUS patterns correlate with microcirculatory dysfunction and organ injury could refine interpretation and therapeutic targeting.

Conclusion

Venous congestion represents a critical yet historically neglected aspect of hemodynamic management in critical care. Recognition that elevated venous pressures independently impair microcirculatory function and organ perfusion has profound implications for fluid management strategies. The VExUS score provides an accessible, validated bedside tool for assessing systemic venous congestion and guiding deresuscitation.

As critical care evolves toward more nuanced, individualized hemodynamic management, integration of venous congestion assessment with traditional markers of perfusion and cardiac function will become standard practice. Clinicians must develop proficiency in VExUS and related techniques, understanding both their utility and limitations. The ultimate goal is achieving the delicate balance between adequate arterial perfusion and avoidance of venous congestion—a paradigm that may be termed "optimal perfusion pressure" rather than simply "optimal cardiac output."

Final Hack: Create a "VExUS bundle" in your ICU: establish a core group of trained operators, develop standardized imaging protocols, integrate VExUS into daily rounds, and track outcomes. Collaborative learning and systematic implementation are key to translating this tool from theory to improved patient care.

Key References

  1. 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. 2020;12:16.

  2. Bhardwaj V, Vikneswaran G, Rola P, 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. Indian J Crit Care Med. 2020;24(9):783-789.

  3. Mullens W, Damman K, Harjola VP, et al. The use of diuretics in heart failure with congestion - a position statement from the Heart Failure Association of the European Society of Cardiology. Eur J Heart Fail. 2019;21(2):137-155.

  4. Argaiz ER. VExUS nexus: bedside assessment of venous congestion. Adv Chronic Kidney Dis. 2021;28(3):252-261.

  5. Ince C. Hemodynamic coherence and the rationale for monitoring the microcirculation. Crit Care. 2015;19 Suppl 3:S8.

  6. Damman K, van Deursen VM, Navis G, et al. Increased central venous pressure is associated with impaired renal function and mortality in a broad spectrum of patients with cardiovascular disease. J Am Coll Cardiol. 2009;53(7):582-588.


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