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Discrepancy in Postoperative Outcomes between Auditing Databases: A NSQIP Comparison.

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    Comparing pancreatectomy outcomes between ACS-NSQIP® and EIAS databases revealed significant differences in reported complication rates. Understanding database definitions is crucial for accurate surgical outcome analysis.

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    Area of Science:

    • Surgical Outcomes Research
    • Health Informatics
    • Comparative Database Analysis

    Background:

    • The American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP®) began collecting pancreatectomy data in 2014.
    • The Enhanced Recovery After Surgery® Interactive Audit System (EIAS) also prospectively collected pancreatectomy data concurrently.
    • Both systems aim to improve outcome reporting and risk calculation for pancreatectomy procedures.

    Purpose of the Study:

    • To compare reported clinical outcomes between the ACS-NSQIP® and EIAS auditing databases for pancreatectomy patients.
    • To determine if complication rates differ significantly between these two major data collection systems.
    • To identify factors contributing to discrepancies in reported outcomes.

    Main Methods:

    • Identified 171 common patients across both the EIAS and ACS-NSQIP® databases.
    • Extracted and compared clinical outcomes, including complication rates, from both databases.
    • Employed Wilcoxon rank sum and Pearson's chi-squared tests to assess statistical significance.

    Main Results:

    • No significant demographic differences were observed between the EIAS and ACS-NSQIP® datasets.
    • Statistically significant differences were found in reported rates for renal dysfunction, postoperative pancreatic fistula, return to operative room, and urinary tract infection.
    • Discrepancies in complication rates were largely attributed to variations in the definitions of postoperative occurrences between the databases.

    Conclusions:

    • Significant differences exist in reported pancreatectomy complication rates between the EIAS and ACS-NSQIP® databases.
    • Subtle variations in the definitions of postoperative events are the primary driver of these discrepancies.
    • Surgeons must be aware of and understand the specific definitions used by each auditing database to accurately interpret complication rates.