Critical Care Myths That Refuse to Die: Evidence-Based Debunking for the Modern Intensivist
Abstract
Background: Despite decades of rigorous clinical research and multiple high-quality randomized controlled trials (RCTs), several long-held beliefs in critical care medicine persist in clinical practice. These "zombie myths" continue to influence therapeutic decisions, potentially compromising patient outcomes and resource utilization.
Objective: To systematically review three persistent critical care myths: albumin administration for shock, sodium bicarbonate therapy for lactic acidosis, and tight glycemic control in critically ill patients. We examine the historical context, debunking evidence, and evidence-based alternatives while exploring the psychological and institutional factors that perpetuate these practices.
Methods: Comprehensive literature review of landmark RCTs, meta-analyses, and systematic reviews published between 1998-2024, with focus on high-impact studies that challenged traditional critical care paradigms.
Results: Strong evidence contradicts these three myths: albumin shows no mortality benefit over crystalloids in shock states, sodium bicarbonate fails to improve outcomes in lactic acidosis and may cause harm, and tight glycemic control increases hypoglycemia risk without mortality benefit. Evidence-based alternatives include balanced crystalloids, lactate-guided resuscitation, and moderate glycemic targets.
Conclusions: Persistent adherence to debunked practices reflects cognitive biases, training inertia, and institutional resistance to change. Structured educational interventions, protocol implementation, and continuous quality improvement are essential for translating evidence into practice.
Keywords: Critical care, evidence-based medicine, albumin, sodium bicarbonate, glycemic control, clinical myths
Introduction
Critical care medicine has evolved dramatically over the past three decades, with landmark randomized controlled trials fundamentally reshaping our understanding of optimal intensive care management. Yet, like persistent urban legends, certain clinical practices continue to haunt ICUs worldwide despite overwhelming evidence of their ineffectiveness or potential harm. These "zombie myths" represent a fascinating intersection of medical history, cognitive psychology, and the challenges of implementing evidence-based practice in complex clinical environments.
The persistence of debunked practices in critical care is not merely an academic curiosity—it represents a significant threat to patient safety, optimal resource utilization, and the credibility of evidence-based medicine. This review examines three archetypal examples of critical care myths that refuse to die: the use of albumin for shock resuscitation, sodium bicarbonate for lactic acidosis, and tight glycemic control for critically ill patients.
Understanding why these myths persist is as important as understanding why they are wrong. By examining both the evidence against these practices and the psychological and institutional factors that sustain them, we can develop more effective strategies for implementing evidence-based critical care.
The Albumin Myth: "Colloids Are Superior for Shock Resuscitation"
Historical Context and Rationale
The preferential use of albumin and other colloids for shock resuscitation was historically based on compelling physiological reasoning. The Starling equation suggested that colloids, with their higher oncotic pressure, would remain intravascular longer than crystalloids, requiring smaller volumes and potentially reducing tissue edema. This "common sense" approach dominated critical care for decades, with albumin becoming the gold standard for fluid resuscitation in many institutions.
The theoretical advantages seemed obvious: albumin would restore intravascular volume more efficiently, reduce the risk of pulmonary edema, and provide superior hemodynamic support. These beliefs were so entrenched that many intensivists considered crystalloid resuscitation to be suboptimal or even negligent care.
The Debunking Evidence
The albumin myth began to crumble with the Cochrane Collaboration's controversial 1998 meta-analysis by Schierhout and Roberts, which suggested a 6% increase in mortality risk with albumin use. While this analysis had methodological limitations, it catalyzed a series of definitive randomized controlled trials that would fundamentally challenge albumin's assumed superiority.
The SAFE study (2004), a landmark Australian and New Zealand randomized controlled trial involving 6,997 critically ill patients, delivered the decisive blow to albumin supremacy. This methodologically rigorous study found no significant difference in 28-day mortality between patients resuscitated with 4% albumin versus normal saline (20.9% vs 21.3%, RR 0.99, 95% CI 0.91-1.09, p=0.87). Subgroup analyses revealed no benefit in any patient population, including those with severe sepsis or traumatic brain injury.
Subsequent studies reinforced these findings. The ALBIOS trial (2014) specifically examined albumin in severe sepsis and septic shock, randomizing 1,818 patients to albumin plus crystalloids versus crystalloids alone. Despite achieving higher serum albumin levels, the albumin group showed no mortality benefit at 28 or 90 days. The EARSS trial (2011) in early goal-directed therapy similarly found no advantage for colloid-based resuscitation.
Meta-analyses have consistently confirmed these individual trial results. The 2013 Cochrane review of colloids versus crystalloids for fluid resuscitation included 65 studies with over 24,000 patients and found no mortality benefit for any colloid, including albumin (RR 1.01, 95% CI 0.96-1.07). If anything, the trend favored crystalloids.
Evidence-Based Alternatives: The Rise of Balanced Crystalloids
While the albumin myth was being debunked, parallel research was revealing the superiority of balanced crystalloids over normal saline. The SMART trial (2018) randomized 15,802 critically ill patients to balanced crystalloids versus saline, demonstrating a significant reduction in the composite outcome of death, renal replacement therapy, or persistent renal dysfunction (14.3% vs 15.4%, OR 0.90, 95% CI 0.82-0.99, p=0.04).
The SALT-ED trial (2018) in emergency department patients showed similar benefits, with balanced crystalloids reducing major adverse kidney events. These findings reflect the physiological advantages of solutions like lactated Ringer's or Plasma-Lyte, which avoid the hyperchloremic metabolic acidosis associated with large-volume normal saline administration.
Current evidence-based fluid resuscitation recommendations:
- First-line: Balanced crystalloids (lactated Ringer's, Plasma-Lyte)
- Volume: 30 mL/kg bolus in septic shock, then titrate to response
- Monitoring: Dynamic measures (pulse pressure variation, stroke volume variation) over static measures (CVP)
- Albumin: Reserved for specific indications (hepatorenal syndrome, large-volume paracentesis)
The Sodium Bicarbonate Myth: "Buffer the Acidosis, Save the Patient"
Historical Context and Physiological Rationale
The use of sodium bicarbonate for severe metabolic acidosis, particularly lactic acidosis, was once considered fundamental critical care practice. The reasoning appeared unassailable: acidosis impairs cardiac contractility, reduces responsiveness to vasopressors, and disrupts cellular metabolism. Therefore, correcting acidosis with bicarbonate should restore cardiovascular function and improve outcomes.
This approach was particularly compelling in lactic acidosis, where severe pH depression (often <7.20) created urgency for intervention. The belief that "you must normalize the pH" became dogma, supported by impressive case reports of hemodynamic improvement following bicarbonate administration.
The Evidence Against Bicarbonate
Despite its physiological appeal, sodium bicarbonate therapy for lactic acidosis has consistently failed to demonstrate benefit in rigorous clinical trials. The foundational study by Cooper et al. (1990) randomized patients with lactic acidosis (pH <7.20, lactate >5 mmol/L) to sodium bicarbonate versus placebo. Despite successfully raising blood pH, bicarbonate therapy showed no improvement in hemodynamics, organ function, or survival.
Subsequent studies have reinforced these negative findings. Mathieu et al. (1991) found no hemodynamic benefit from bicarbonate in septic shock patients with metabolic acidosis. The BICAR-ICU trial (2018), while showing some potential benefit in severe acidemia (pH <7.20), failed to demonstrate improved survival—its primary endpoint.
The lack of benefit is explained by several physiological factors:
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Paradoxical intracellular acidosis: Bicarbonate generates CO₂, which readily crosses cell membranes, potentially worsening intracellular acidosis despite improving blood pH.
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Leftward oxygen-dissociation curve shift: Alkalosis increases hemoglobin's oxygen affinity, impairing tissue oxygen delivery.
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Electrolyte disturbances: Bicarbonate administration can cause hypokalemia, hypocalcemia, and hypernatremia.
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Volume overload: Bicarbonate is hyperosmolar and sodium-rich, potentially exacerbating fluid retention.
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Masking underlying pathology: Correcting pH without addressing the underlying cause (tissue hypoxia, inadequate perfusion) may provide false reassurance while delaying appropriate therapy.
Evidence-Based Approach: Treat the Cause, Not Just the Number
Modern critical care focuses on addressing the underlying causes of lactic acidosis rather than the pH itself:
Primary interventions:
- Optimize tissue oxygen delivery (fluid resuscitation, vasopressors, blood transfusion if indicated)
- Source control (antibiotics, surgical intervention for sepsis)
- Mechanical support for cardiogenic shock (inotropes, mechanical circulatory support)
Lactate-guided resuscitation has emerged as a superior approach. The LACTATES trial (2017) demonstrated that lactate clearance-guided therapy improved mortality compared to ScvO₂-guided therapy in septic shock. This approach focuses on improving tissue perfusion and cellular metabolism rather than simply buffering acid.
Limited indications for bicarbonate:
- Severe hyperkalemia with ECG changes
- Tricyclic antidepressant or salicylate poisoning
- Severe acidosis (pH <7.10) with hemodynamic instability, used cautiously as a bridge to definitive therapy
The Tight Glycemic Control Myth: "Intensive Insulin is ICU Gospel"
The Rise and Fall of Tight Glycemic Control
Perhaps no critical care intervention experienced a more dramatic reversal than intensive insulin therapy for tight glycemic control. The story begins with the landmark Van den Berghe study (2001), which randomized 1,548 surgical ICU patients to intensive insulin therapy (target glucose 80-110 mg/dL) versus conventional therapy (180-200 mg/dL). The results were remarkable: intensive therapy reduced mortality by 34%, ICU length of stay, bloodstream infections, and renal failure requiring dialysis.
This single study revolutionized critical care practice virtually overnight. Intensive insulin protocols were rapidly implemented worldwide, becoming a cornerstone of ICU care and a quality metric for hospital accreditation. The biological rationale was compelling: hyperglycemia promotes inflammation, impairs immune function, and disrupts endothelial integrity.
The Devastating Contradictory Evidence
The tight glycemic control myth began to unravel with attempts to replicate the initial success. The Van den Berghe medical ICU study (2006) showed benefit only in patients staying >3 days, with no overall mortality improvement and increased hypoglycemia. Warning signs were emerging.
The definitive refutation came with the NICE-SUGAR trial (2009), the largest randomized controlled trial in critical care history at that time. This multinational study randomized 6,104 patients to intensive (81-108 mg/dL) versus conventional (≤180 mg/dL) glucose control. The results were shocking: intensive therapy increased 90-day mortality (27.5% vs 24.9%, OR 1.14, 95% CI 1.02-1.28, p=0.02) and severe hypoglycemia (6.8% vs 0.5%, p<0.001).
Multiple subsequent studies and meta-analyses confirmed these findings. The Griesdale meta-analysis (2009) of 26 trials involving 13,567 patients found no mortality benefit from intensive glucose control but a six-fold increase in severe hypoglycemia. The Kansagara systematic review (2011) reached similar conclusions across diverse patient populations.
Understanding the Harm: Hypoglycemia and Beyond
The increased mortality from tight glycemic control appears primarily driven by severe hypoglycemia, which can cause:
- Neuronal injury: The brain depends on glucose for energy; severe hypoglycemia can cause irreversible neurological damage
- Cardiac arrhythmias: Hypoglycemia triggers catecholamine release and QT prolongation
- Inflammatory activation: Paradoxically, hypoglycemia can worsen the inflammatory response
- Impaired wound healing: Glucose is essential for cellular repair processes
Glycemic variability, independent of mean glucose levels, has also been identified as a predictor of mortality. The constant adjustments required for tight control create dangerous glucose oscillations that may be more harmful than stable mild hyperglycemia.
Evidence-Based Glycemic Management
Current evidence supports moderate glycemic control with emphasis on avoiding both severe hyperglycemia and hypoglycemia:
Recommended targets:
- General ICU patients: 140-180 mg/dL
- Diabetic patients: May tolerate slightly higher targets (150-200 mg/dL)
- Cardiac surgery: Consider 120-160 mg/dL based on some supportive data
Best practices for glycemic management:
- Use validated protocols with structured hypoglycemia prevention measures
- Implement computerized decision support systems to reduce variability
- Focus on glycemic stability over tight control
- Regular staff education on hypoglycemia recognition and treatment
- Consider continuous glucose monitoring in high-risk patients
Why Myths Persist: The Psychology and Sociology of Medical Misinformation
Cognitive Biases in Clinical Practice
Understanding why these myths persist despite overwhelming contradictory evidence requires examining the psychological factors that influence clinical decision-making:
Anchoring bias occurs when clinicians rely too heavily on initial information or early training. The first explanations learned in medical school become cognitive anchors that resist contradictory information.
Confirmation bias leads practitioners to seek information that confirms existing beliefs while dismissing contradictory evidence. When albumin "works" (patient improves), it reinforces the belief; when it "fails," other factors are blamed.
Availability heuristic causes overweighting of memorable cases. A dramatic response to bicarbonate therapy creates a vivid memory that overshadows statistical evidence from trials.
Authority bias perpetuates myths when respected senior physicians continue outdated practices, creating powerful role modeling for trainees.
Institutional and Educational Factors
Training inertia occurs when established teaching practices resist change. Medical curricula often lag years behind current evidence, continuing to teach debunked concepts.
Protocol persistence maintains outdated practices through institutional momentum. Once protocols are established, they require significant effort to change, even with contradictory evidence.
Medicolegal concerns may perpetuate myths when physicians fear liability for deviating from "standard" practice, even when that standard is evidence-free.
Pharmaceutical influence, while less relevant for these specific examples, can perpetuate certain practices through marketing and continuing education programs.
Overcoming Resistance to Change
Strategies for myth-busting:
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Education with impact: Present evidence in compelling, memorable formats that address emotional as well as rational decision-making
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Protocol implementation: Remove the cognitive burden of decision-making by embedding evidence into clinical pathways
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Audit and feedback: Regular review of practice patterns with benchmarking against evidence-based standards
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Opinion leader engagement: Identify and convert influential senior physicians who can model evidence-based practice
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System-level interventions: Remove outdated options from order sets and implement decision support systems
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Continuous quality improvement: Create cultures that embrace change and view protocol updates as positive developments
Pearls for Clinical Practice
Pearl 1: Crystalloids First, Always
Start with balanced crystalloids for all shock states. Reserve albumin for specific indications like hepatorenal syndrome or after large-volume paracentesis. The physiological rationale for colloids is compelling but wrong—trust the randomized controlled trials.
Pearl 2: Lactate Clearance Over pH Correction
In lactic acidosis, focus on improving lactate clearance through optimal resuscitation and source control. Avoid the temptation to chase pH with bicarbonate—you'll likely make things worse while missing the real problem.
Pearl 3: Stable Glucose Over Perfect Glucose
Target glucose 140-180 mg/dL with emphasis on avoiding hypoglycemia and glucose variability. Resist the perfectionist urge for tight control—moderate hyperglycemia is safer than even occasional hypoglycemia in critical illness.
Pearl 4: Question "Common Sense"
Many critical care myths persist because they seem physiologically logical. Remember that human physiology is complex, and interventions can have unintended consequences. Always prefer randomized controlled trial evidence over physiological reasoning.
Pearl 5: Embrace Therapeutic Nihilism
Sometimes the best intervention is no intervention. Resist the urge to "do something" when evidence doesn't support action. This is particularly important in critical care, where our interventions carry significant risks.
Clinical Hacks for Evidence-Based Practice
Hack 1: The "Show Me the RCT" Rule
Before implementing any intervention, ask: "What randomized controlled trial supports this?" If the answer involves physiological reasoning, case series, or observational studies, pause and search for better evidence.
Hack 2: Flip Your Bias
When tempted to use a traditional intervention, actively seek evidence against it. This cognitive exercise helps overcome confirmation bias and may reveal practice-changing information.
Hack 3: The Protocol Safety Net
Implement protocols that make evidence-based practice the path of least resistance. Remove outdated options from order sets and include decision support reminders for evidence-based alternatives.
Hack 4: The Teaching Moment Strategy
When encountering persistent myths in practice, use them as teaching opportunities. Explain not just what the evidence shows, but why the myth is appealing and how to think critically about physiological reasoning.
Hack 5: The Outcome Focus
Shift discussions from process measures (did we give albumin?) to outcome measures (did the patient improve?). This helps break the psychological connection between intervention and benefit.
Oysters: Hidden Lessons About Medical Knowledge
Oyster 1: Beware the Compelling Narrative
The most dangerous medical myths are those with compelling physiological rationales. These create cognitive buy-in that makes contradictory evidence harder to accept. Always remember that human physiology is more complex than our models suggest.
Oyster 2: Small Studies Can Be Dangerously Wrong
The Van den Berghe tight glycemic control study demonstrates how even well-conducted small studies can produce misleading results due to patient selection, center effects, or chance. Large, multicenter RCTs are essential for practice-changing decisions.
Oyster 3: Implementation Matters More Than Evidence
Having evidence against a practice is insufficient for change. Understanding the psychological, educational, and institutional barriers to change is essential for successful evidence implementation.
Oyster 4: Medical Education Lags Evidence
There is often a significant delay between evidence publication and curriculum change. Be aware that what you learned in training may already be outdated, and commit to lifelong learning and evidence evaluation.
Oyster 5: Expertise Can Be a Liability
Senior physicians with extensive experience may be most resistant to changing established practices. Their clinical intuition, while valuable, can override statistical evidence. Creating cultures where expertise and evidence-based practice coexist is crucial.
Future Directions and Emerging Myths
Identifying Next-Generation Myths
As critical care continues to evolve, new potential myths are emerging:
Personalized medicine promises may lead to overconfidence in biomarker-guided therapy without adequate validation. The enthusiasm for precision medicine must be tempered by rigorous outcome studies.
Technology-driven interventions like extracorporeal CO₂ removal or continuous renal replacement therapy modalities may develop mythical status based on physiological appeal rather than clinical evidence.
Sepsis biomarkers continue to proliferate with promises of improved diagnosis and treatment guidance, yet few have demonstrated clinical utility in randomized controlled trials.
Building Myth-Resistant Practice
Strategies for preventing future myths:
- Maintain high evidentiary standards for new interventions
- Demand outcome data, not just physiological surrogates
- Be suspicious of interventions with compelling narratives but limited RCT data
- Create institutional cultures that value evidence over tradition
- Implement systematic processes for evidence review and practice updates
Conclusion
The persistence of debunked practices in critical care represents a fundamental challenge to evidence-based medicine. The three myths examined—albumin for shock, bicarbonate for lactic acidosis, and tight glycemic control—illustrate how compelling physiological rationales can override contradictory clinical evidence for years or even decades.
These examples teach us that implementing evidence-based practice requires more than simply publishing research results. It demands understanding the psychological, educational, and institutional factors that sustain outdated practices. Only by addressing these root causes can we hope to break the cycle of persistent medical myths.
For postgraduate trainees in critical care, these lessons are particularly important. You are entering practice at a time when the pace of medical knowledge creation is accelerating, making it both easier and more essential to stay current with evidence. Develop habits of critical thinking, evidence evaluation, and intellectual humility that will serve you throughout your career.
Remember that the goal of evidence-based medicine is not to eliminate clinical judgment but to inform it. The art of medicine lies in applying population-based evidence to individual patients, considering their unique circumstances and values. But this art must be grounded in the science of rigorous clinical research, not the mythology of physiological reasoning alone.
As you begin your careers as critical care physicians, commit to being myth-busters rather than myth-perpetuators. Question established practices, seek evidence actively, and be willing to change course when data contradict tradition. Your patients—and the future of critical care medicine—depend on it.
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Conflicts of Interest: The authors declare no conflicts of interest.
Funding: This work received no specific funding.
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