Predicting the Risk of Postoperative Respiratory Failure in Elective Abdominal and Vascular Operations Using the...

Area of Science:

• Anesthesiology and Perioperative Medicine
• Surgical Outcomes Research
• Pulmonary Medicine

Background:

• Postoperative respiratory failure (RF) significantly increases mortality and healthcare costs.
• Existing risk stratification tools often do not specifically target elective surgical candidates.
• There is a need for validated tools to assess preoperative RF risk in outpatient settings.

Purpose of the Study:

• To develop and validate a Respiratory Failure Risk Score (RFRS) for predicting RF in elective abdominal and vascular surgery patients.
• To enable risk stratification and guide preoperative pulmonary optimization in the outpatient setting.

Main Methods:

• Utilized a large dataset (2012 National Surgical Quality Improvement Program) for multivariable logistic regression to identify independent RF risk factors.
• Derived a weighted RFRS and assessed its goodness-of-fit and optimal cutoff values using receiver operator characteristic analysis and Youden indices.
• Validated the RFRS internally and externally using a retrospective institutional cohort (2013-2014).

Main Results:

• Identified 12 independent preoperative risk factors for RF from 151,700 patients.
• The RFRS demonstrated good external predictive ability with a c-statistic of 0.73.
• An optimal cutoff of 30 yielded a sensitivity of 0.62 and specificity of 0.75; other cutoffs optimized sensitivity or specificity.

Conclusions:

• The RFRS provides effective preoperative risk stratification for patients undergoing elective surgery.
• The score categorizes patients into low, moderate, and high-risk groups (<15, 15-29, 30-39, >39).
• RFRS assists in patient counseling and guides the application of perioperative pulmonary optimization measures.