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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.
Abstract:
Because of the everincreasing costs and the complexity of institutional medical reimbursement policies, the necessity for extensive laboratory work-up of potentially infected patients has come into question. We hypothesized that intensivists are able to differentiate between infected and non-infected patients clinically, without the need to pan-culture, and are able to identify the location of the infection clinically in order to administer timely and appropriate treatment. Data collected prospectively on critically ill patients suspected of having an infection in the surgical intensive care unit (SICU) was obtained over a six-month period in a single tertiary academic medical center. Objective evidence of infection derived from laboratory or imaging data was compared with the subjective answers of the three most senior physicians' clinical diagnoses. Thirty-nine critically ill surgical patients received 52 work-ups for suspected infections on the basis of signs and symptoms (e.g., fever, altered mental status). Thirty patients were found to be infected. Clinical diagnosis differentiated infected and non-infected patients with only 61.5% accuracy (sensitivity 60.3%; specificity 64.4%; p = 0.0049). Concordance between physicians was poor (κ = 0.33). Providers were able to predict the infectious source correctly only 60% of the time. Utilization of culture/objective data and SICU antibiotic protocols led to overall 78% appropriate initiation of antibiotics compared with 48% when treatment was based on clinical evaluation alone. Clinical diagnosis of infection is difficult, inaccurate, and unreliable in the absence of culture and sensitivity data. Infection suspected on the basis of signs and symptoms should be confirmed via objective and thorough work-up.
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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