[Lung resection: predictive value of respiratory function]

Area of Science:

• Pulmonology
• Thoracic Surgery
• Respiratory Physiology

Background:

• Preoperative cardiopulmonary variables like FEV1, DLCO, MVO2, and SO2 are crucial for identifying lung resection patients at increased risk.
• Accurate prediction of postoperative respiratory function is essential for surgical planning and patient management.

Purpose of the Study:

• To evaluate the predictive ability and clinical usefulness of postoperative FEV1 (FEV1-ppo) using Nakahara's formula in patients undergoing lung resection.
• To assess the reliability of Nakahara's formula for identifying high-risk patients prior to surgery.

Main Methods:

• Prospective evaluation of 80 patients undergoing lung resection.
• Spirometry performed preoperatively and 6 months postoperatively.
• Calculation of residual respiratory function using Nakahara's formula and statistical analysis with the chi-squared test.

Main Results:

• Predictive FEV1-ppo values derived from Nakahara's formula showed strong comparability with observed postoperative FEV1 values in 63.75% of patients.
• A statistically significant correlation (P < 0.005) was found between predicted and observed postoperative FEV1.
• Nakahara's formula demonstrated a high degree of accuracy in predicting postoperative lung function.

Conclusions:

• Nakahara's formula is a reliable and simple method for assessing preoperative cardiopulmonary risk in patients undergoing lung resection.
• The formula's ease of execution and significant predictive accuracy support its use as a standard method for surgical planning.
• Accurate prediction of postoperative FEV1 aids in optimizing surgical decisions and managing patient risk stratification.