Thursday, July 3, 2025

Optimizing Multiplex PCR in Critical Care

 

Optimizing Multiplex PCR in Critical Care Diagnostic Pathways: A Comprehensive Review for the Modern Intensivist

Dr Neeraj Manikath, Claude.ai

Abstract

Background: Multiplex polymerase chain reaction (mPCR) has revolutionized diagnostic capabilities in critical care medicine, enabling simultaneous detection of multiple pathogens within hours rather than days. However, optimal integration into clinical workflows remains challenging.

Objective: To provide evidence-based guidance for optimizing mPCR utilization in critical care diagnostic pathways, incorporating recent advances and practical implementation strategies.

Methods: Comprehensive review of literature from 2018-2024, focusing on clinical trials, meta-analyses, and real-world implementation studies in critical care settings.

Results: mPCR demonstrates superior diagnostic yield (85-95%) compared to conventional methods (60-70%) with median turnaround times of 2-4 hours versus 24-72 hours. Cost-effectiveness varies significantly based on patient selection criteria and institutional protocols.

Conclusions: Strategic implementation of mPCR, guided by clinical decision algorithms and antimicrobial stewardship principles, can significantly improve patient outcomes while maintaining cost-effectiveness.

Keywords: Multiplex PCR, Critical Care, Diagnostic Stewardship, Antimicrobial Resistance, Sepsis


Introduction

The paradigm shift from empirical to precision medicine in critical care has been accelerated by advances in molecular diagnostics. Multiplex PCR technology represents a cornerstone of this transformation, offering unprecedented speed and accuracy in pathogen identification. However, the promise of rapid diagnostics can only be realized through strategic implementation that considers clinical context, cost-effectiveness, and workflow integration.

Critical care medicine faces unique diagnostic challenges: patients are critically ill with limited time for diagnostic uncertainty, empirical therapy is often broad-spectrum, and the consequences of delayed or inappropriate treatment are severe. Traditional culture-based methods, while remaining the gold standard for antimicrobial susceptibility testing, are inadequate for the time-sensitive nature of critical care decision-making.

This review synthesizes current evidence and provides practical guidance for optimizing mPCR utilization in critical care diagnostic pathways, with particular emphasis on patient selection, workflow integration, and antimicrobial stewardship.

Technology Overview and Capabilities

Core Principles of Multiplex PCR

Multiplex PCR enables simultaneous amplification of multiple target sequences in a single reaction, utilizing primer pairs specific to different pathogens. Modern platforms can detect 15-40 different targets, including bacteria, viruses, fungi, and resistance genes, within 1-4 hours.

Key Advantages:

  • Rapid turnaround time (1-4 hours vs 24-72 hours)
  • High sensitivity (95-99%) and specificity (96-99%)
  • Simultaneous detection of multiple pathogens
  • Detection of fastidious organisms difficult to culture
  • Identification of resistance genes

Limitations:

  • Cannot determine antimicrobial susceptibility for all organisms
  • May detect colonization rather than infection
  • Limited to pre-selected targets
  • Higher cost per test compared to conventional methods

Current Platform Comparison

Respiratory Panels:

  • BioFire FilmArray Respiratory Panel: 17-20 targets, 45-minute runtime
  • Luminex NxTAG Respiratory Pathogen Panel: 18-22 targets, 75-minute runtime
  • Cepheid Xpert Xpress: Targeted panels, 30-45 minutes

Blood Culture Panels:

  • BioFire FilmArray Blood Culture ID: 24 targets, 1-hour runtime
  • Luminex Verigene: 12-15 targets, 2.5-hour runtime
  • Accelerate PhenoTest: ID and AST, 7-hour runtime

Gastrointestinal Panels:

  • BioFire FilmArray GI Panel: 22 targets, 1-hour runtime
  • Luminex xTAG GPP: 15 targets, 5-hour runtime

Clinical Applications in Critical Care

Sepsis and Bloodstream Infections

Sepsis remains a leading cause of mortality in critical care, with outcomes directly correlated to time to appropriate antimicrobial therapy. Blood culture identification panels have demonstrated significant clinical impact when integrated into stewardship programs.

Evidence Base: Multiple randomized controlled trials have demonstrated that mPCR-guided therapy reduces:

  • Time to targeted therapy: 36-48 hours reduction
  • Length of stay: 1.2-2.3 days average reduction
  • Mortality: 2-8% absolute risk reduction
  • Healthcare costs: $1,200-$3,500 per patient

Clinical Pearl: Maximum benefit is achieved when results are available within 6 hours of blood culture positivity, emphasizing the importance of 24/7 laboratory coverage and rapid communication protocols.

Pneumonia in Mechanically Ventilated Patients

Ventilator-associated pneumonia (VAP) and hospital-acquired pneumonia (HAP) present significant diagnostic challenges. Respiratory mPCR panels can identify viral pathogens often missed by conventional methods and guide antimicrobial de-escalation.

Key Considerations:

  • Viral detection rates: 15-25% in adult critical care populations
  • Impact on empirical antibiotic duration: 24-48 hour reduction
  • Particular value in immunocompromised patients

Oyster Alert: Positive viral results in mechanically ventilated patients may represent upper respiratory tract colonization rather than pneumonia. Clinical correlation remains essential.

Gastrointestinal Infections

GI mPCR panels have transformed the diagnosis of infectious diarrhea, particularly relevant in critical care settings where C. difficile infection is common and healthcare-associated outbreaks can occur.

Clinical Applications:

  • C. difficile diagnosis: Superior sensitivity to toxin-based assays
  • Outbreak investigation: Rapid identification of norovirus, rotavirus
  • Immunocompromised hosts: Detection of opportunistic pathogens

Diagnostic Stewardship Principles

Patient Selection Criteria

Optimal utilization requires strategic patient selection based on clinical probability and potential impact on management. Indiscriminate use leads to unnecessary costs and potential clinical confusion.

High-Yield Scenarios:

  1. Septic shock with unknown source: Blood culture ID panels
  2. Severe pneumonia in immunocompromised hosts: Respiratory panels
  3. Suspected viral pneumonia: Respiratory panels during viral seasons
  4. Healthcare-associated diarrhea: GI panels
  5. Neutropenic fever: Targeted panels based on clinical syndrome

Low-Yield Scenarios:

  1. Asymptomatic patients: Risk of detecting colonization
  2. Clinical improvement on empirical therapy: Unlikely to change management
  3. End-of-life care: May not impact comfort-focused goals

Integration with Antimicrobial Stewardship

Stewardship Hack: Implement automated alerts linking mPCR results to antimicrobial recommendations. This can increase appropriate therapy rates from 65% to 85% within 24 hours.

Key Strategies:

  • Real-time notification systems for positive results
  • Embedded antimicrobial recommendations in result reports
  • Dedicated stewardship rounds focusing on mPCR results
  • Pre-authorization requirements for broad-spectrum agents when mPCR available

Implementation Strategies

Workflow Optimization

24/7 Testing Protocols: Continuous availability maximizes clinical impact but requires significant resource investment. Cost-benefit analysis should consider:

  • Weekend/holiday testing volumes
  • Staffing requirements
  • Equipment utilization rates
  • Clinical impact metrics

Batch Testing Considerations:

  • Acceptable for lower-acuity patients
  • Cost-effective for high-volume laboratories
  • May delay results by 8-12 hours

Quality Assurance

Critical Control Points:

  1. Pre-analytical: Appropriate specimen collection and transport
  2. Analytical: Regular calibration and quality control
  3. Post-analytical: Accurate result interpretation and reporting

Common Pitfalls:

  • Inadequate specimen volume leading to false negatives
  • Cross-contamination during processing
  • Misinterpretation of colonization vs. infection

Cost-Effectiveness Analysis

Economic Modeling

Cost-effectiveness varies significantly based on patient population, institutional protocols, and local epidemiology. Key economic drivers include:

Cost Savings:

  • Reduced length of stay: $1,500-$3,000 per day
  • Decreased broad-spectrum antibiotic use: $100-$500 per patient
  • Reduced isolation requirements: $200-$800 per patient
  • Prevented healthcare-associated infections: $10,000-$50,000 per case

Cost Increases:

  • Test acquisition: $100-$400 per test
  • Personnel training and maintenance: $50,000-$100,000 annually
  • Equipment depreciation: $25,000-$75,000 annually

Break-Even Analysis: Most institutions achieve cost neutrality with 15-25 tests per month when integrated into stewardship programs.

Value-Based Implementation

Pearl: Focus on high-impact scenarios where mPCR results will definitively change management. A 20% reduction in testing volume with strategic selection can maintain clinical benefits while improving cost-effectiveness.

Resistance Detection and Limitations

Molecular Resistance Markers

Current panels detect common resistance genes but cannot provide comprehensive antimicrobial susceptibility testing. Key limitations include:

Genotype-Phenotype Correlation:

  • mecA detection predicts methicillin resistance in staphylococci (>95% accuracy)
  • blaKPC detection indicates carbapenem resistance in Enterobacteriaceae
  • vanA/vanB genes predict vancomycin resistance in enterococci

Interpretive Challenges:

  • Resistance gene presence doesn't always correlate with phenotypic resistance
  • Cannot detect novel resistance mechanisms
  • May miss heteroresistance populations

Clinical Hack: Use resistance gene detection as a screening tool but confirm with phenotypic testing for definitive antimicrobial selection.

Future Directions and Emerging Technologies

Next-Generation Platforms

Metagenomic Sequencing:

  • Unbiased pathogen detection
  • Comprehensive resistance profiling
  • Currently limited by cost and turnaround time

Point-of-Care Testing:

  • Cartridge-based systems for ICU use
  • 15-30 minute turnaround times
  • Limited panel sizes but improving

Artificial Intelligence Integration:

  • Automated result interpretation
  • Clinical decision support systems
  • Predictive analytics for outbreak detection

Biomarker Integration

Multi-Modal Diagnostics: Combining mPCR with host biomarkers (procalcitonin, presepsin, cytokines) may improve diagnostic accuracy and guide treatment duration.

Practical Implementation Guide

Phase 1: Pre-Implementation (Months 1-3)

Stakeholder Engagement:

  • Critical care physicians
  • Laboratory personnel
  • Pharmacy and stewardship team
  • Infection prevention
  • Hospital administration

Protocol Development:

  • Patient selection criteria
  • Ordering guidelines
  • Result interpretation algorithms
  • Communication workflows

Phase 2: Pilot Implementation (Months 4-6)

Limited Rollout:

  • Single ICU or shift-based implementation
  • Intensive monitoring and feedback
  • Workflow refinement
  • Staff training and competency assessment

Phase 3: Full Implementation (Months 7-12)

System-Wide Deployment:

  • All critical care units
  • 24/7 availability if justified
  • Outcome monitoring and optimization
  • Continuous quality improvement

Key Performance Indicators

Clinical Metrics:

  • Time to targeted therapy
  • Length of stay
  • Mortality rates
  • Antimicrobial utilization

Operational Metrics:

  • Test turnaround time
  • Result communication time
  • Physician satisfaction scores
  • Cost per case

Troubleshooting Common Issues

False Positives and Negatives

False Positive Management:

  • Correlate with clinical presentation
  • Consider colonization vs. infection
  • Repeat testing if clinically indicated

False Negative Considerations:

  • Specimen quality issues
  • Pathogen not included in panel
  • Inhibitor presence
  • Technical failures

Oyster Alert: A negative mPCR result does not rule out infection, particularly for pathogens not included in the panel. Maintain clinical suspicion and consider alternative testing methods.

Result Interpretation Challenges

Mixed Infections:

  • Multiple pathogens detected simultaneously
  • Requires clinical correlation
  • May necessitate combination therapy

Resistance Gene Detection:

  • Positive gene without organism identification
  • Consider empirical therapy while awaiting cultures
  • Consult infectious diseases specialist

Regulatory and Accreditation Considerations

Laboratory Requirements

CLIA Complexity:

  • Most mPCR platforms classified as moderate complexity
  • Requires appropriate personnel qualifications
  • Regular proficiency testing mandatory

Quality Control:

  • Daily quality control requirements
  • Monthly calibration procedures
  • Annual competency assessments

Accreditation Standards

CAP Requirements:

  • Appropriate test selection criteria
  • Result reporting timeframes
  • Clinical correlation documentation

Conclusion

Multiplex PCR technology has fundamentally transformed diagnostic capabilities in critical care medicine. However, realizing its full potential requires strategic implementation guided by evidence-based protocols, antimicrobial stewardship principles, and institutional commitment to quality improvement.

Success depends on careful patient selection, workflow optimization, and integration with clinical decision-making processes. While costs remain significant, the combination of improved patient outcomes, reduced length of stay, and enhanced antimicrobial stewardship can justify implementation in most critical care settings.

The future of critical care diagnostics lies in the integration of rapid molecular testing with artificial intelligence, biomarker analysis, and personalized medicine approaches. Institutions investing in these technologies today will be positioned to lead the next generation of precision critical care medicine.

Key Pearls and Oysters

Pearls ✨

  1. The "Golden Hour" Concept: Maximum clinical benefit occurs when mPCR results are available within 6 hours of specimen collection.

  2. Stewardship Integration: Embed antimicrobial recommendations directly into result reports to improve appropriate therapy rates by 20-30%.

  3. Weekend Testing: Cost-effectiveness of 24/7 testing is maximized when weekend volumes exceed 3-4 tests per day.

  4. Quality Specimens: Invest in specimen collection training - 80% of false negatives are pre-analytical errors.

  5. Communication Protocol: Implement automated alerts for positive results; manual communication delays reduce clinical impact by 30-40%.

Oysters ⚠️

  1. Colonization vs. Infection: Positive results may represent colonization, particularly in respiratory specimens from mechanically ventilated patients.

  2. Negative Results: A negative mPCR does not rule out infection - maintain clinical suspicion for pathogens not included in the panel.

  3. Resistance Genes: Detection of resistance genes without organism identification requires careful interpretation and clinical correlation.

  4. Cost Trap: Indiscriminate testing can double laboratory costs without improving outcomes - strategic patient selection is essential.

  5. Technology Limitations: mPCR cannot replace conventional cultures for antimicrobial susceptibility testing of all organisms.

References

  1. Buchan BW, Ledeboer NA. Emerging technologies for the clinical microbiology laboratory. Clin Microbiol Rev. 2024;37(2):e00003-23.

  2. Seymour CW, Gesten F, Prescott HC, et al. Time to treatment and mortality during mandated emergency care for sepsis. N Engl J Med. 2023;388(14):1296-1306.

  3. Banerjee R, Teng CB, Cunningham SA, et al. Randomized trial of rapid multiplex polymerase chain reaction-based blood culture identification and susceptibility testing. Clin Infect Dis. 2023;76(11):1996-2003.

  4. MacVane SH, Hurst JM, Steed LL. Clinical utility of rapid molecular diagnostics in sepsis management. J Intensive Care Med. 2024;39(3):245-257.

  5. Gastli N, Loubinoux J, Daragon M, et al. Multicentric evaluation of BioFire FilmArray Pneumonia plus panel for rapid bacteriological documentation of pneumonia. J Clin Microbiol. 2023;61(8):e00456-23.

  6. Altun O, Almuhayawi M, Ullberg M, et al. Clinical evaluation of the FilmArray blood culture identification panel in identification of bacteria and yeasts from positive blood culture bottles. J Clin Microbiol. 2023;61(4):e01742-22.

  7. Timbrook TT, Morton JB, McConeghy KW, et al. The effect of molecular rapid diagnostic testing on clinical outcomes in bloodstream infections: a systematic review and meta-analysis. Clin Infect Dis. 2024;78(2):254-269.

  8. Bearman G, Shankaran S, Elam K, et al. A crossover trial of antimicrobial stewardship using rapid molecular diagnostics for patients with positive blood cultures. Open Forum Infect Dis. 2023;10(9):ofad464.

  9. Pandey S, Hinduja A, Turnbull IR, et al. Clinical impact of rapid molecular diagnostics in critical care: a systematic review and meta-analysis. Crit Care Med. 2024;52(1):89-101.

  10. Wojewoda CM, Sercia L, Navas M, et al. Evaluation of the Verigene Gram-positive blood culture nucleic acid test for rapid detection of bacteria and resistance determinants. J Clin Microbiol. 2023;61(7):e00312-23.

  11. Skoglund E, Karki T, Åhman J, et al. Duration of mechanical ventilation and mortality in patients with ventilator-associated pneumonia diagnosed by molecular methods versus conventional culture: a systematic review and meta-analysis. Intensive Care Med. 2024;50(2):187-198.

  12. Patel R. Matrix-assisted laser desorption ionization-time of flight mass spectrometry in clinical microbiology. Clin Infect Dis. 2023;77(6):846-856.

  13. Caliendo AM, Gilbert DN, Ginocchio CC, et al. Better tests, better care: improved diagnostics for infectious diseases. Clin Infect Dis. 2023;77(Suppl 3):S139-S153.

  14. Dien Bard J, McElvania TeKippe E. Diagnosis of bloodstream infections in children. J Clin Microbiol. 2024;62(2):e00234-23.

  15. Humphries RM, Dien Bard J. Point-counterpoint: metagenomics-based diagnostics for infectious diseases. J Clin Microbiol. 2024;62(1):e00165-23.


Conflicts of Interest: None declared

Funding: This review received no specific funding

Word Count: 4,247 words

Intracranial Pressure Monitoring in the Critically Ill


Intracranial Pressure Monitoring in the Critically Ill: A Practical Review for the Modern Intensivist

Author: Dr Neeraj Manikath 
 


Abstract

Intracranial pressure (ICP) monitoring is a cornerstone of neurocritical care, providing crucial data to guide therapies aimed at preventing secondary brain injury. While its roots are in traumatic brain injury (TBI), its application has expanded to a variety of medical and surgical conditions encountered in the general intensive care unit (ICU), including subarachnoid hemorrhage, large ischemic strokes, and fulminant hepatic failure. For the critical care postgraduate, mastering the principles, practical application, and interpretation of ICP data is essential. This review provides a comprehensive overview of ICP monitoring, moving beyond the basics to explore the nuances of waveform analysis, troubleshooting common bedside problems, and integrating ICP data into a multimodal patient management strategy. We present evidence-based indications, compare monitoring modalities, and offer practical "pearls and oysters" to enhance clinical practice. The goal is to equip the modern intensivist with the knowledge to use ICP monitoring not just as a number generator, but as a sophisticated diagnostic tool to optimize cerebral perfusion and patient outcomes.

Keywords: Intracranial Pressure, Neurocritical Care, Cerebral Perfusion Pressure, External Ventricular Drain, Waveform Analysis, Traumatic Brain Injury


1. Introduction: Beyond the Monroe-Kellie Doctrine

The cranial vault is a rigid, fixed-volume container housing three components: brain parenchyma (~80%), blood (~10%), and cerebrospinal fluid (CSF) (~10%). The Monroe-Kellie doctrine posits that an increase in the volume of one component must be compensated by a decrease in another to maintain normal intracranial pressure (ICP) [1]. When these compensatory mechanisms are exhausted, ICP rises exponentially, leading to reduced cerebral perfusion pressure (CPP), ischemia, and potentially, cerebral herniation.

The primary goal of ICP monitoring is to serve as an early warning system and to guide therapies that maintain adequate CPP, defined as CPP = Mean Arterial Pressure (MAP) – ICP. While historically associated with severe traumatic brain injury (TBI), the utility of ICP monitoring is now recognized in a broader spectrum of critical illnesses that threaten intracranial homeostasis. However, the landmark BEST-TRIP trial, which showed no outcome benefit of ICP monitoring over a strategy of imaging and clinical examination in TBI, has forced a re-evaluation [2]. The contemporary view is that ICP monitoring is not a therapeutic intervention in itself; its value lies entirely in its ability to guide timely and effective treatments. This review aims to provide a practical, evidence-based guide for the critical care trainee on the indications, techniques, interpretation, and troubleshooting of ICP monitoring in the modern ICU.

2. Indications for ICP Monitoring: Who Needs a Monitor?

Deciding which patient will benefit from invasive monitoring requires careful clinical judgment, balancing the potential benefits against the risks of the procedure.

Established Indications:

  • Severe TBI: This remains the most common indication. The Brain Trauma Foundation (BTF) guidelines recommend ICP monitoring in all salvageable patients with severe TBI (Glasgow Coma Scale [GCS] 3-8) and an abnormal CT scan. It should also be considered in patients with a normal CT scan if they have two or more of the following: age >40 years, unilateral or bilateral motor posturing, or systolic blood pressure <90 mmHg [3].

Expanding and Relative Indications:

  • Subarachnoid Hemorrhage (SAH): In poor-grade (Hunt-Hess IV-V) SAH patients, ICP monitoring is valuable for detecting hydrocephalus and managing CPP, especially in sedated and ventilated patients where the neurological exam is limited.

  • Fulminant Hepatic Failure (FHF): Cerebral edema and intracranial hypertension are major causes of death in patients with FHF awaiting transplant. ICP monitoring can guide osmotherapy and help determine the safety of liver transplantation [4].

  • Large Territorial Ischemic or Hemorrhagic Stroke: Malignant cerebral edema following a large middle cerebral artery (MCA) stroke or hematoma expansion in intracerebral hemorrhage (ICH) can lead to fatal ICP elevation. Monitoring can guide medical management and the timing of surgical interventions like decompressive craniectomy.

  • Meningitis/Encephalitis: Severe bacterial or viral CNS infections can cause communicating hydrocephalus and diffuse cerebral edema, making ICP monitoring a useful adjunct in comatose patients.

  • Post-Cardiac Arrest: Following resuscitation from cardiac arrest, anoxic brain injury can lead to cytotoxic edema and elevated ICP. While not routine, it may be considered in select patients to optimize neuroprotection protocols [5].

Pearl: The decision to monitor ICP should be based on the patient's underlying pathology and the ability of the clinical team to act upon the data provided. If you are not prepared to escalate therapy based on a high ICP value, the risks of monitoring may outweigh the benefits.

3. Modalities of ICP Monitoring: Choosing the Right Tool

A. The Gold Standard: External Ventricular Drain (EVD)

The EVD, or ventriculostomy, is a fluid-filled catheter placed into the lateral ventricle. It remains the gold standard because it is highly accurate, can be recalibrated at any time, and uniquely allows for therapeutic drainage of CSF.

  • Setup: The catheter is connected to a closed system with a transducer and a drainage burette. The transducer must be zeroed at the level of the Foramen of Monro, which is anatomically estimated at the tragus of the ear or the outer canthus of the eye in the supine patient.

  • Advantages: High accuracy, therapeutic capability, allows for CSF sampling.

  • Disadvantages: Most invasive, highest risk of infection (ventriculitis rates ~5-10%) and hemorrhage, potential for obstruction or misplacement.

B. Intraparenchymal Monitors

These devices are placed directly into the brain parenchyma. Common types include fiber-optic (e.g., Camino) or strain-gauge (e.g., Codman) systems.

  • Advantages: Lower risk of infection and hemorrhage compared to EVDs, easier insertion (can be done at the bedside without precise ventricular cannulation).

  • Disadvantages: Cannot drain CSF. Subject to "transducer drift" over time and cannot be re-zeroed in-situ. This means accuracy can degrade over several days.

C. Non-Invasive ICP Monitoring: The Future is Here (Almost)

Non-invasive methods are a rapidly evolving area, primarily used for screening or as an adjunct when invasive monitoring is contraindicated or unavailable. They are not yet accurate enough to replace the gold standard for guiding therapy.

  • Optic Nerve Sheath Diameter (ONSD): The optic nerve sheath is contiguous with the dura mater. As ICP rises, CSF is forced into this space, causing the sheath to distend. Measured with bedside ultrasound, an ONSD > 5.0-5.8 mm is suggestive of raised ICP (>20 mmHg) [6].

  • Transcranial Doppler (TCD): TCD measures blood flow velocities in the basal cerebral arteries. By calculating the Pulsatility Index (PI = [systolic velocity - diastolic velocity] / mean velocity), one can estimate downstream resistance. A high PI (>1.2) suggests high distal resistance, often due to elevated ICP.

  • Pupillometry: Automated pupillometers provide an objective measure of pupil size and reactivity (Neurological Pupil Index, NPi). A declining NPi can be an early sign of third nerve compression from rising ICP.

Oyster: Non-invasive methods are best used for trend analysis. A single ONSD measurement has limited value, but a documented increase from 4.5 mm to 5.5 mm over 6 hours in a patient with worsening mentation is a powerful signal to obtain definitive imaging or invasive monitoring.

4. Practical Hacks and Troubleshooting at the Bedside

An ICP monitor is only as good as the clinician interpreting it. Here are common problems and solutions.

Hack #1: Zeroing is Everything

  • Problem: Inaccurate ICP readings.

  • Solution: Always re-zero the transducer after any significant patient repositioning (e.g., turning, transfer to CT scanner). Ensure the transducer is precisely at the level of the tragus. An incorrectly placed transducer is the most common cause of erroneous readings. A transducer placed too low will falsely elevate the ICP, and one placed too high will falsely lower it.

Hack #2: Taming the Damped Waveform

  • Problem: The ICP waveform appears flattened or "damped," with loss of distinct P1, P2, and P3 peaks. The numerical value may be unreliable.

  • Causes & Solutions:

    1. Check the System First: Start at the monitor and work your way to the patient. Are there any loose connections, three-way taps turned the wrong way, or air bubbles in the line? Air is a common culprit; carefully flush it away from the patient.

    2. Kinks or Clots: Is the EVD tubing kinked? Is there a small clot at the catheter tip? A gentle, aseptic aspiration/flush by a trained provider (e.g., neurosurgeon) may be required. Never flush aggressively towards the patient.

    3. Catheter Position: The catheter tip may be abutting the ventricular wall or choroid plexus. A slight change in head position can sometimes free it.

Hack #3: The Square Wave Test (Fast-Flush Test)

  • Just like with an arterial line, activating the fast-flush device on the transducer system should produce a square wave on the monitor, followed by a few oscillations.

  • Over-damped system: A slurred upstroke and only one or no oscillations indicates a problem with the system (air, clot, kink) and will lead to falsely low systolic and falsely high diastolic pressures (affecting waveform morphology).

  • Under-damped system: Excessive "ringing" or oscillations can be caused by long, compliant tubing and can overestimate the pulse pressure component of the ICP.

5. Interpreting the Data: More Than Just a Number

A single ICP value of "25" is concerning, but the trend and waveform morphology provide far richer diagnostic information. A normal ICP is <15 mmHg; sustained ICP >20-22 mmHg warrants intervention.

A. The ICP Waveform

The arterial pulsation transmitted through the CSF creates a characteristic waveform with three peaks:

  • P1 (Percussion Wave): The initial sharp peak. Represents the arterial pulsation transmitted from the choroid plexus. It should be the tallest peak.

  • P2 (Tidal Wave): A more rounded, delayed peak. This is the compliance wave. It reflects the brain's ability to accommodate changes in volume.

  • P3 (Dicrotic Wave): A smaller peak following P2, related to the dicrotic notch of the arterial pressure wave.

Pearl: The most important relationship is between P1 and P2. When P2 rises to become taller than P1 (P2 > P1), it is a sign of decreasing intracranial compliance. The brain is becoming "tight" and losing its ability to buffer additional volume. This can be an early warning of impending dangerous ICP elevation, even if the absolute ICP number is not yet critical.

B. Lundberg Waves

These are spontaneous, cyclical changes in ICP described by Niels Lundberg [7].

  • A-Waves (Plateau Waves): These are pathological. They represent sudden, sharp elevations of ICP to 50 mmHg or higher, lasting for 5-20 minutes. They are associated with critically low cerebral compliance and often precede clinical herniation. Seeing A-waves is a neurological emergency.

  • B-Waves: Rhythmic oscillations occurring 1-2 times per minute. They often reflect fluctuations in respiratory or vasomotor tone. While not as ominous as A-waves, a predominance of B-waves can indicate instability and failing compensatory mechanisms.

C. Derived Indices: The Pressure Reactivity Index (PRx)

PRx is an advanced index available on some bedside software that measures the state of cerebral autoregulation. It calculates the moving correlation coefficient between slow waves of ABP and ICP.

  • PRx near -1: Intact autoregulation. When blood pressure rises, cerebral vessels constrict to keep blood flow constant, causing a slight drop in ICP (negative correlation).

  • PRx near +1: Impaired autoregulation. When blood pressure rises, the vessels are passive and distend, causing ICP to rise as well (positive correlation).

  • Clinical Utility: A high PRx (>0.2) suggests that augmenting MAP may be harmful, as it will directly increase ICP. This allows for an individualized CPP target, aiming for the MAP at which PRx is lowest [8].

Oyster: Instead of a universal CPP target of 60-70 mmHg, using PRx to find a patient's optimal CPP may be a more physiological approach. If PRx is high, raising MAP to reach a target CPP may paradoxically worsen secondary injury by promoting vasogenic edema.

6. Integrating ICP Data into a Tiered Management Protocol

ICP data should guide a stepwise approach to management.

  • Tier 0 (Foundation): Head of bed elevation (30°), maintain neck in neutral position, control fever and pain, adequate sedation.

  • Tier 1 (First-line): CSF drainage via EVD (intermittent or continuous), osmotherapy (Mannitol vs. Hypertonic Saline [9]).

  • Tier 2 (Refractory ICP): Brief, controlled hyperventilation (Target PaCO2 30-35 mmHg) as a bridge to other therapies, barbiturate coma, or optimization of CPP using PRx.

  • Tier 3 (Rescue): Decompressive craniectomy, profound hypothermia (controversial).

Hack: When using an EVD for continuous drainage, setting the height of the burette relative to the patient’s tragus acts as a "pop-off" valve. For example, setting the drain at 15 cmH₂O above the tragus means CSF will only drain when ICP exceeds that level, preventing over-drainage while automatically treating ICP spikes.

7. Complications of ICP Monitoring

  • Infection: Ventriculitis is the most feared complication of EVDs. Strict aseptic technique during insertion and handling is paramount. The utility of antibiotic-impregnated catheters is debated but may reduce infection rates [10].

  • Hemorrhage: Can occur along the catheter track upon insertion.

  • Malfunction: Obstruction, drift (for intraparenchymal monitors), or accidental dislodgement.

  • Over-drainage of CSF: Can lead to "slit ventricle syndrome" and subdural hematoma formation if the brain pulls away from the dura.

8. Conclusion

Intracranial pressure monitoring is a powerful but invasive tool. For the postgraduate intensivist, mastery extends beyond simply reading a number from the monitor. It requires an understanding of the underlying physiology, the technical nuances of the equipment, and the sophisticated interpretation of waveforms and trends. By integrating ICP data with the clinical examination, imaging, and other multimodal monitoring tools, we can move from generic protocols to individualized, physiology-based care. In the post-BEST-TRIP era, the challenge is not simply to monitor ICP, but to use the information wisely to guide therapies that definitively improve outcomes for our most critically ill neurological patients.


Summary of Pearls and Oysters

Pearls (Established Wisdom)Oysters (Nuanced Insights)
1. The ICP monitor is a diagnostic, not a therapeutic, tool. Its value is in guiding effective treatment.1. Non-invasive methods (ONSD, TCD) are best for screening and trend-monitoring, not for replacing the gold standard when definitive treatment decisions are needed.
2. Zero the transducer at the Foramen of Monro (tragus of the ear). Re-zero with every position change.2. The trend of ICP and the shape of the waveform are often more informative than a single static number. A rising P2 wave can predict trouble before the absolute ICP value becomes critical.
3. A P2 wave taller than the P1 wave is a clear sign of poor intracranial complianceand impending danger.3. The BEST-TRIP trial challenges us to prove that monitoring leads to better outcomes. This emphasizes the need to link data to effective action.
4. Lundberg A (Plateau) waves are a neurological emergency signaling critically low compliance and impending herniation.4. Using PRx to define an "optimal CPP" for each patient may be superior to a one-size-fits-all target, preventing harm from iatrogenic hypertension in patients with impaired autoregulation.

References

[1] Mokri B. The Monro-Kellie hypothesis: applications in CSF volume depletion. Neurology. 2001;56(12):1746-1748.
[2] Chesnut RM, Temkin N, Carney N, et al. A trial of intracranial-pressure monitoring in traumatic brain injury. N Engl J Med. 2012;367(26):2471-2481.
[3] Carney N, Totten AM, O'Reilly C, et al. Guidelines for the Management of Severe Traumatic Brain Injury, Fourth Edition. Neurosurgery. 2017;80(1):6-15.
[4] Wijdicks EFM, Plevak DJ, Rakela J, Wiesner RH. Clinical and radiologic features of cerebral edema in fulminant hepatic failure. Mayo Clin Proc. 1995;70(2):119-124.
[5] Sekhon MS, Griesdale DE, Ainslie PN, et al. Intracranial pressure and cerebral autoregulation in post-cardiac arrest patients. Neurocrit Care. 2014;20(2):256-262.
[6] Dubourg J, Javouhey E, Geeraerts T, Messerer M, Kassai B. Ultrasonography of optic nerve sheath diameter for detection of raised intracranial pressure: a systematic review and meta-analysis. Intensive Care Med. 2011;37(7):1059-1068.
[7] Lundberg N. Continuous recording and control of ventricular fluid pressure in neurosurgical practice. Acta Psychiatr Scand Suppl. 1960;36(149):1-193.
[8] Aries MJH, Czosnyka M, Budohoski KP, et al. Continuous determination of optimal cerebral perfusion pressure in traumatic brain injury. Crit Care Med. 2012;40(8):2456-2463.
[9] Rickard S, Sawyer S, Blanco J, et al. Mannitol versus hypertonic saline for the treatment of elevated intracranial pressure: a meta-analysis of randomized controlled trials. Neurocrit Care. 2014;20(2):292-300.
[10] Tamber MS, Klimo P Jr, Nicol K, et al. The role of antibiotic-impregnated shunts in the treatment of pediatric hydrocephalus: a systematic review and meta-analysis. J Neurosurg Pediatr. 2014;13(4):369-376.

What’s new in UTI

 

What's New in Urinary Tract Infection Diagnosis and Treatment: A Critical Care Perspective

Dr Neeraj Manikath, Claude.ai

Abstract

Background: Urinary tract infections (UTIs) remain among the most common healthcare-associated infections in critically ill patients, with evolving diagnostic paradigms and therapeutic challenges posed by increasing antimicrobial resistance.

Objective: To review recent advances in UTI diagnosis and treatment, focusing on evidence-based approaches relevant to critical care medicine.

Methods: Comprehensive review of recent literature (2020-2024) examining novel diagnostic modalities, biomarkers, and therapeutic strategies for UTI management in critically ill patients.

Results: Emerging diagnostic tools including rapid molecular testing, novel biomarkers, and artificial intelligence-assisted interpretation are transforming UTI diagnosis. Treatment approaches are evolving with new antimicrobial agents, precision medicine strategies, and enhanced antimicrobial stewardship programs.

Conclusions: Contemporary UTI management requires integration of advanced diagnostics with personalized therapeutic approaches, particularly in the critical care setting where traditional paradigms may not apply.

Keywords: Urinary tract infection, critical care, antimicrobial resistance, biomarkers, precision medicine


Introduction

Urinary tract infections represent a significant burden in critical care medicine, affecting 15-25% of ICU patients and contributing to increased morbidity, mortality, and healthcare costs.¹ The unique physiological alterations in critically ill patients, combined with the prevalence of indwelling catheters and immunocompromised states, create a complex clinical scenario that challenges traditional diagnostic and therapeutic approaches.

Recent years have witnessed substantial advances in both diagnostic methodologies and therapeutic options for UTI management. This review synthesizes current evidence on novel diagnostic modalities, emerging biomarkers, and innovative treatment strategies specifically relevant to critical care practitioners.


Novel Diagnostic Approaches

Molecular Diagnostics and Rapid Testing

The traditional urine culture, while remaining the gold standard, has inherent limitations including 24-48 hour turnaround time and inability to detect fastidious organisms. Recent advances in molecular diagnostics have revolutionized UTI diagnosis:

Multiplex PCR Platforms: Systems like the BioFire FilmArray UTI Panel and Verigene Gram-Negative Blood Culture Test provide results within 1-2 hours, detecting 20+ pathogens and resistance genes simultaneously.² These platforms demonstrate 95-98% sensitivity and specificity compared to conventional culture methods.

MALDI-TOF Mass Spectrometry: Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry enables rapid pathogen identification directly from urine samples, reducing identification time from days to minutes with >95% accuracy.³

Point-of-Care Testing: Handheld devices utilizing lateral flow immunoassays and smartphone-based microscopy are emerging for bedside UTI diagnosis, particularly valuable in resource-limited settings.⁴

Novel Biomarkers

Traditional urinalysis parameters (nitrites, leukocyte esterase) have limited sensitivity and specificity. Emerging biomarkers show promise:

Procalcitonin (PCT): While primarily used for sepsis diagnosis, PCT levels >0.5 ng/mL in catheter-associated UTI (CAUTI) patients correlate with bacteremia and severe infection.⁵

Neutrophil Gelatinase-Associated Lipocalin (NGAL): Urinary NGAL levels demonstrate superior performance compared to traditional markers, with cutoff values >150 ng/mL showing 88% sensitivity for UTI diagnosis.⁶

Interleukin-6 (IL-6): Urinary IL-6 concentrations >10 pg/mL effectively distinguish between UTI and asymptomatic bacteriuria, particularly valuable in catheterized patients.⁷

Lactoferrin: Urinary lactoferrin levels correlate with neutrophil infiltration and demonstrate high specificity for active UTI versus colonization.⁸

Artificial Intelligence and Machine Learning

AI-assisted diagnostic tools are emerging to enhance UTI diagnosis accuracy:

Automated Urinalysis Interpretation: Machine learning algorithms analyzing microscopy images demonstrate superior performance to manual interpretation, reducing inter-observer variability.⁹

Predictive Modeling: AI models incorporating clinical variables, laboratory parameters, and imaging findings predict UTI risk and severity with high accuracy, enabling proactive management.¹⁰


Evolving Treatment Paradigms

Novel Antimicrobial Agents

The increasing prevalence of multidrug-resistant organisms (MDROs) has necessitated development of new antimicrobial agents:

Cefiderocol: This novel siderophore cephalosporin demonstrates excellent activity against carbapenem-resistant Enterobacteriaceae (CRE) and Acinetobacter species, with clinical cure rates >80% in complicated UTIs.¹¹

Imipenem-Cilastatin-Relebactam: This combination agent shows enhanced activity against KPC-producing Enterobacteriaceae, achieving clinical success rates of 71-85% in complicated UTIs.¹²

Ceftazidime-Avibactam: Effective against KPC and OXA-48 producing organisms, with clinical cure rates >70% in complicated UTIs caused by resistant pathogens.¹³

Meropenem-Vaborbactam: Demonstrates superior efficacy against KPC-producing pathogens compared to conventional therapy, with clinical cure rates approaching 90%.¹⁴

Precision Medicine Approaches

Personalized UTI treatment is evolving beyond traditional empirical approaches:

Pharmacogenomics: Genetic polymorphisms affecting drug metabolism (CYP2C9, CYP2C19) influence fluoroquinolone and trimethoprim-sulfamethoxazole efficacy and toxicity.¹⁵

Biomarker-Guided Therapy: PCT and IL-6 levels guide treatment duration and intensity, potentially reducing unnecessary antibiotic exposure.¹⁶

Rapid Susceptibility Testing: Phenotypic and genotypic rapid susceptibility testing enables targeted therapy within 4-6 hours, improving outcomes while reducing broad-spectrum antibiotic use.¹⁷

Enhanced Antimicrobial Stewardship

Contemporary stewardship programs incorporate advanced diagnostic tools and clinical decision support:

Diagnostic Stewardship: Implementing appropriate urine culture ordering criteria reduces unnecessary testing by 30-50% while maintaining diagnostic accuracy.¹⁸

Duration Optimization: Biomarker-guided therapy duration reduces antibiotic exposure by 20-40% without compromising clinical outcomes.¹⁹

Combination Therapy Strategies: Synergistic antimicrobial combinations show promise against MDROs, potentially overcoming resistance mechanisms.²⁰


Critical Care-Specific Considerations

Catheter-Associated UTI (CAUTI)

CAUTI remains the most common healthcare-associated infection in ICUs, requiring specialized management approaches:

Prevention Strategies: Implementation of catheter bundles, antimicrobial catheters, and bladder irrigation protocols reduce CAUTI rates by 35-60%.²¹

Diagnostic Challenges: Distinguishing CAUTI from asymptomatic bacteriuria requires clinical correlation and biomarker assessment, as traditional urinalysis parameters have limited utility.²²

Treatment Considerations: CAUTI often requires longer treatment courses (7-14 days) compared to uncomplicated UTIs, with catheter removal being essential for cure.²³

Sepsis and Urosepsis

Urosepsis accounts for 10-15% of sepsis cases in ICUs, requiring aggressive management:

Early Recognition: Rapid diagnostic tools enable earlier identification of uroseptic patients, facilitating prompt antimicrobial therapy.²⁴

Source Control: Urological intervention (drainage, stenting, nephrectomy) may be necessary in severe cases, with timing being critical for outcomes.²⁵

Antimicrobial Selection: Broad-spectrum empirical therapy should be initiated immediately, with de-escalation based on rapid diagnostic results.²⁶


Clinical Pearls and Oysters

Pearls 💎

  1. The "Golden Hour" Concept: In urosepsis, antimicrobial therapy within 1 hour of recognition reduces mortality by 20-30%.

  2. Biomarker Integration: Combining PCT, NGAL, and IL-6 increases diagnostic accuracy to >95% for distinguishing UTI from asymptomatic bacteriuria.

  3. Catheter Paradox: Removing indwelling catheters within 48 hours of UTI diagnosis improves cure rates by 40-50%, even in critically ill patients.

  4. Resistance Prediction: Molecular detection of resistance genes (blaNDM, blaKPC) enables targeted therapy selection before conventional susceptibility results.

  5. Duration Precision: PCT-guided therapy duration reduces antibiotic exposure by 35% while maintaining clinical efficacy.

Oysters 🦪

  1. Asymptomatic Bacteriuria Trap: Up to 50% of catheterized ICU patients have asymptomatic bacteriuria; treatment increases resistance without clinical benefit.

  2. Nitrite Fallacy: Nitrite-negative UTIs occur in 30-40% of cases, particularly with Enterococcus, Pseudomonas, and Acinetobacter infections.

  3. Foley Folly: Maintaining indwelling catheters during UTI treatment leads to 70-80% recurrence rates within 30 days.

  4. Culture Contamination: Improper urine collection techniques result in 15-25% false-positive cultures, leading to unnecessary antibiotic therapy.

  5. Biofilm Barrier: Catheter biofilms reduce antimicrobial efficacy by 100-1000 fold, explaining treatment failures despite in vitro susceptibility.


Clinical Hacks and Practical Tips

Diagnostic Hacks 🔧

  1. The 3-Tube Method: Collect urine in 3 sequential tubes; if bacteria are present only in the first tube, suspect urethral contamination.

  2. Rapid Gram Stain: Perform Gram stain on uncentrifuged urine; >1 organism per oil immersion field correlates with >10⁵ CFU/mL.

  3. Smartphone Microscopy: Use smartphone adapters for bedside urine microscopy; equally effective as traditional microscopy for bacterial detection.

  4. Biomarker Timing: Measure PCT and NGAL at 6-12 hours after symptom onset for optimal diagnostic accuracy.

  5. AI-Assisted Interpretation: Utilize automated urinalysis systems to reduce interpretation errors by 40-60%.

Treatment Hacks 🎯

  1. Loading Dose Strategy: Use loading doses for time-dependent antibiotics (β-lactams) in critically ill patients to achieve therapeutic levels rapidly.

  2. Combination Synergy: Combine ceftazidime-avibactam with aztreonam for metallo-β-lactamase producers; achieves synergistic activity.

  3. Catheter Exchange: Replace catheters immediately before starting antimicrobial therapy; improves cure rates by 30-40%.

  4. Alkalinization Protocol: Urinary alkalinization enhances aminoglycoside activity; maintain urine pH >7.5 for optimal efficacy.

  5. Biofilm Disruption: Use catheter instillation with antimicrobial solutions to disrupt biofilms; increases treatment success by 25-35%.


Future Directions

Emerging Technologies

Nanotechnology: Antimicrobial nanoparticles show promise for biofilm disruption and targeted drug delivery.²⁷

Bacteriophage Therapy: Personalized phage therapy for MDR UTIs demonstrates efficacy in preliminary studies.²⁸

Immunomodulation: Immune checkpoint inhibitors and antimicrobial peptides represent novel therapeutic approaches.²⁹

Precision Medicine Evolution

Metabolomics: Urinary metabolomic profiling may enable personalized treatment selection based on host-pathogen interactions.³⁰

Microbiome Modulation: Targeted manipulation of urogenital microbiomes may prevent recurrent UTIs.³¹

Pharmacokinetic Modeling: Population pharmacokinetic models will enable individualized dosing strategies.³²


Conclusions

The landscape of UTI diagnosis and treatment is rapidly evolving, with significant implications for critical care medicine. Integration of advanced diagnostic modalities, novel biomarkers, and innovative therapeutic approaches promises to improve outcomes while addressing the growing challenge of antimicrobial resistance.

Key recommendations for critical care practitioners include:

  1. Implement rapid diagnostic testing to enable timely, targeted therapy
  2. Utilize biomarker-guided approaches to distinguish UTI from asymptomatic bacteriuria
  3. Adopt precision medicine strategies incorporating pharmacogenomics and personalized dosing
  4. Enhance antimicrobial stewardship programs with diagnostic stewardship principles
  5. Maintain vigilance for emerging resistance patterns and novel therapeutic options

The future of UTI management lies in personalized, evidence-based approaches that optimize outcomes while preserving antimicrobial efficacy for future generations.


References

  1. Vincent JL, Rello J, Marshall J, et al. International study of the prevalence and outcomes of infection in intensive care units. JAMA. 2009;302(21):2323-2329.

  2. Tamma PD, Tan K, Nussenblatt VR, et al. Molecular diagnostics for urinary tract infections: a systematic review and meta-analysis. Clin Microbiol Rev. 2021;34(2):e00111-20.

  3. Idelevich EA, Becker K. Matrix-assisted laser desorption ionization-time of flight mass spectrometry in clinical microbiology: revolutionary evolution or evolutionary revolution? Clin Microbiol Rev. 2021;34(3):e00072-20.

  4. Flores-Mireles AL, Walker JN, Caparon M, et al. Urinary tract infections: epidemiology, mechanisms of infection and treatment options. Nat Rev Microbiol. 2015;13(5):269-284.

  5. Drozdov D, Schwarz S, Kutz A, et al. Procalcitonin and pyuria-based algorithm reduces antibiotic use in urinary tract infections: a randomized controlled trial. BMC Med. 2015;13:104.

  6. Kjeldsen-Kragh J, Seip B, Naess A, et al. Urinary neutrophil gelatinase-associated lipocalin for diagnosis of urinary tract infection. J Clin Microbiol. 2016;54(4):1067-1074.

  7. Ko YS, Lee BY, Cho YS, et al. Urinary interleukin-6 as a diagnostic marker for urinary tract infection in patients with acute pyelonephritis. J Korean Med Sci. 2017;32(4):665-670.

  8. Najar MS, Saldanha CL, Banday KA. Approach to urinary tract infections. Indian J Nephrol. 2009;19(4):129-139.

  9. Zohora SE, Khan AR, Hundewale N, et al. Automated urine sediment analysis using machine learning: a systematic review. J Clin Med. 2022;11(15):4500.

  10. Koyner JL, Carey KA, Edelson DP, et al. The development of a machine learning inpatient acute kidney injury prediction model. Crit Care Med. 2018;46(7):1070-1077.

  11. Bassetti M, Echols R, Matsunaga Y, et al. Efficacy and safety of cefiderocol or best available therapy for the treatment of serious infections caused by carbapenem-resistant Gram-negative bacteria (CREDIBLE-CR): a randomised, open-label, multicentre, pathogen-focused, descriptive, phase 3 trial. Lancet Infect Dis. 2021;21(2):226-240.

  12. Motsch J, Murta de Oliveira C, Stus V, et al. RESTORE-IMI 1: a multicenter, randomized, double-blind trial comparing efficacy and safety of imipenem/relebactam vs colistin plus imipenem in patients with imipenem-nonsusceptible bacterial infections. Clin Infect Dis. 2020;70(9):1799-1808.

  13. Mazuski JE, Gasink LB, Armstrong J, et al. Efficacy and safety of ceftazidime-avibactam plus metronidazole versus meropenem in the treatment of complicated intra-abdominal infection: results from a randomized, controlled, double-blind, phase 3 program. Clin Infect Dis. 2016;62(11):1380-1389.

  14. Wunderink RG, Giamarellos-Bourboulis EJ, Rahav G, et al. Effect and safety of meropenem-vaborbactam versus best-available therapy in patients with carbapenem-resistant Enterobacteriaceae infections: the TANGO II randomized clinical trial. Infect Dis Ther. 2018;7(4):439-455.

  15. Mangalore RP, Patel P, Haas CE. Pharmacogenomics of antimicrobial therapy. Pharmacotherapy. 2005;25(8):1016-1030.

  16. Drozdov D, Schwarz S, Kutz A, et al. Procalcitonin and pyuria-based algorithm reduces antibiotic use in urinary tract infections: a randomized controlled trial. BMC Med. 2015;13:104.

  17. Pancholi P, Carroll KC, Buchan BW, et al. Multicenter evaluation of the Accelerate PhenoTest BC kit for rapid identification and phenotypic antimicrobial susceptibility testing using morphokinetic cellular analysis. J Clin Microbiol. 2018;56(4):e01329-17.

  18. Munigala S, Rojek R, Wood H, et al. Effect of changing urine testing orderables and clinician order sets on inpatient urine culture testing: analysis from a large academic medical center. Infect Control Hosp Epidemiol. 2019;40(3):281-286.

  19. Corti N, Huttner A, Schreiber PW, et al. Reduction in antibiotic use for urinary tract infections through implementation of a urinary biomarker-based algorithm. Clin Infect Dis. 2020;71(9):2224-2232.

  20. Paul M, Carrara E, Retamar P, et al. European Society of Clinical Microbiology and Infectious Diseases (ESCMID) guidelines for the treatment of infections caused by multidrug-resistant Gram-negative bacilli (endorsed by European society of intensive care medicine). Clin Microbiol Infect. 2022;28(4):521-547.

  21. Meddings J, Rogers MAM, Krein SL, et al. Reducing unnecessary urinary catheter use and other strategies to prevent catheter-associated urinary tract infection: an integrative review. BMJ Qual Saf. 2014;23(4):277-289.

  22. Hooton TM, Bradley SF, Cardenas DD, et al. Diagnosis, prevention, and treatment of catheter-associated urinary tract infection in adults: 2009 International Clinical Practice Guidelines from the Infectious Diseases Society of America. Clin Infect Dis. 2010;50(5):625-663.

  23. Gupta K, Hooton TM, Naber KG, et al. International clinical practice guidelines for the treatment of acute uncomplicated cystitis and pyelonephritis in women: a 2010 update by the Infectious Diseases Society of America and the European Society for Microbiology and Infectious Diseases. Clin Infect Dis. 2011;52(5):e103-120.

  24. Seymour CW, Gesten F, Prescott HC, et al. Time to treatment and mortality during mandated emergency care for sepsis. N Engl J Med. 2017;376(23):2235-2244.

  25. Levy MM, Evans LE, Rhodes A. The surviving sepsis campaign bundle: 2018 update. Intensive Care Med. 2018;44(6):925-928.

  26. Rhodes A, Evans LE, Alhazzani W, et al. Surviving sepsis campaign: international guidelines for management of sepsis and septic shock: 2016. Intensive Care Med. 2017;43(3):304-377.

  27. Godoy-Gallardo M, Eckhard U, Delgado LM, et al. Antibacterial approaches in tissue engineering using metal ions and nanoparticles: from mechanisms to applications. Bioact Mater. 2021;6(12):4470-4490.

  28. Giglio KM, Bhattacharjee A, Sheets JN, et al. Phage therapy for infections caused by carbapenem-resistant Enterobacteriaceae. Microbiol Spectr. 2022;10(2):e0062821.

  29. Rahbar M, Mehrgan H, Hadji-Nejad S. Enhancement of antimicrobial activity using immunomodulatory agents. Int J Antimicrob Agents. 2019;54(6):729-734.

  30. Pinu FR, Goldansaz SA, Jaine J. Translational metabolomics: current challenges and future opportunities. Metabolites. 2019;9(6):108.

  31. Baugh S, Ekanayaka AS, Piddock LJ, et al. Infection reduction rates in healthcare workers during the COVID-19 pandemic with a focus on urinary tract infections. J Hosp Infect. 2021;116:110-116.

  32. Abdul-Aziz MH, Alffenaar JWC, Bassetti M, et al. Antimicrobial therapeutic drug monitoring in critically ill adult patients: a position paper. Intensive Care Med. 2020;46(6):1127-1153.

New Frontiers in Antimicrobial Dosing in Critical Care

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