Based on Cardiopulmonary Exercise Testing to Construct and Validate Nomogram of Long‐Term Prognosis Within 12 Months for NSCLC

ABSTRACT Objective Construction nomogram was to effectively predict long‐term prognosis in patients with non‐small cell lung cancer (NSCLC). Materials and Methods The nomogram is developed by a retrospective study of 347 patients with NSCLC who underwent cardiopulmonary exercise testing (CPET) before surgery from May 2019 to February 2022. Cross‐validation divided the data into a training cohort and validation cohort. The discrimination and accuracy ability of the nomogram were proofed by concordance index (C‐index), calibration curve, receiver operating characteristic (ROC) curve, the area under the curve (AUC), and time‐dependent ROC in validation cohort. Results Age, intraoperative blood loss, VO2 peak, and VE/VCO2 slope were included in the model of nomogram. The model demonstrated good discrimination and accuracy with C‐index of 0.770 (95% CI: 0.712–0.822). AUC of 6 (AUC: 0.789, 95% CI: 0.726–0.851) and 12 months (AUC: 0.787, 95% CI: 0.724–0.850) were shown in ROC. Time‐independent ROC maintains a good effect within 12 months. Conclusion We developed a nomogram based on CPET. This model has a good ability of discrimination and accuracy. It could help clinicians to make treatment decision in clinical decision. Currently none developed nomogram considers cardiopulmonary exercise testing parameter. We first time construct a nomogram included age, intraoperative blood loss, VO2 peak, and VE/VCO2 slop. The model demonstrated good discrimination and accuracy with C‐index of 0.770 (95% CI: 0.712–0.822). AUC of 6 (AUC: 0.789, 95% CI: 0.726–0.851) and 12 months (AUC: 0.787, 95% CI: 0.724–0.850) were shown in ROC. Time‐independent ROC maintain a good effect within 12 months. This model with good ability of discrimination and accuracy could help clinicians make treatment decision.