Clinical Diagnosis of Infection in Surgical Intensive Care Unit: You're Not as Good as You Think!

Madhu Subramanian1,2, Carol Hirschkorn1, Stephanie A Eyerly-Webb3

  • 1Division of Burn/Trauma/Critical Care, Department of Surgery, University of Texas Southwestern Medical Center, Dallas, Texas.

Surgical Infections
|September 26, 2019
PubMed

Insights

Clinical diagnosis of infection in critically ill patients is unreliable. Objective data and cultures are crucial for accurate diagnosis and appropriate antibiotic use, improving treatment outcomes.

Area of Science:

  • Critical Care Medicine
  • Infectious Diseases
  • Medical Diagnostics

Background:

  • Rising healthcare costs and complex reimbursement policies question the need for extensive laboratory work-ups in suspected infections.
  • Intensivists' ability to clinically differentiate infected from non-infected patients and pinpoint infection sources is hypothesized.

Purpose of the Study:

  • To evaluate the accuracy of clinical diagnosis in differentiating infected from non-infected critically ill patients.
  • To assess the reliability of clinical assessment in identifying infection sources.
  • To compare the appropriateness of antibiotic initiation based on clinical evaluation versus objective data.

Main Methods:

  • Prospective data collection on critically ill patients in a surgical intensive care unit (SICU) over six months.
  • Comparison of physicians' clinical diagnoses with objective evidence from laboratory or imaging data.
  • Analysis of diagnostic accuracy, physician concordance, and antibiotic treatment appropriateness.

Main Results:

  • Clinical diagnosis showed only 61.5% accuracy in differentiating infected from non-infected patients (sensitivity 60.3%, specificity 64.4%).
  • Physician concordance was poor (κ = 0.33), with correct source prediction in only 60% of cases.
  • Appropriate antibiotic initiation was 78% with objective data/protocols versus 48% with clinical evaluation alone.

Conclusions:

  • Clinical diagnosis of infection in critically ill patients is difficult, inaccurate, and unreliable without objective data.
  • Thorough work-up including cultures and sensitivity testing is essential for suspected infections.
  • Objective data and established protocols significantly improve antibiotic prescribing accuracy.

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