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Optimizing Inpatient Care for Lung Cancer Patients with Immune Checkpoint Inhibitor- Related Pneumonitis Using a
Norman Brito-Dellan1, Maria Cecilia Franco-Vega1, Juan Ignacio Ruiz1
1The University of Texas MD Anderson Cancer Center.
Implementing a clinical care pathway algorithm significantly reduced treatment time for immune checkpoint inhibitor-related pneumonitis (ICI-P). This structured approach improves care for this high-mortality condition.
Area of Science:
- Oncology
- Pulmonology
- Clinical Informatics
Background:
- Immune checkpoint inhibitor-related pneumonitis (ICI-P) presents a significant mortality risk, demanding rapid diagnosis and treatment.
- Standardized management protocols are crucial for optimizing patient outcomes in ICI-P.
Approach:
- A clinical care pathway algorithm was implemented in two phases to streamline ICI-P management.
- A multi-modal intervention promoted algorithm adoption among healthcare providers.
- Pre- and post-intervention analyses assessed the time from diagnosis to treatment initiation.
Key Points:
- The study involved lung cancer patients with suspected ICI-P, predominantly linked to non-small cell lung cancer and Pembrolizumab use.
- Post-intervention, mean treatment times decreased significantly, particularly after phase 2 (1.27 days).
- Utilization of the immunotoxicity order set increased, and outpatient pulmonology follow-ups improved, indicating enhanced care continuity.
Conclusions:
- Implementing a clinical care pathway algorithm standardizes care for ICI-P.
- This structured approach demonstrably improves patient outcomes and management efficiency.
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