%0 Journal Article
%T Based on Cardiopulmonary Exercise Testing to Construct and Validate Nomogram of Long-Term Prognosis Within 12 Months for NSCLC.
%A Wang X
%A Li J
%A Zhou J
%A Gao M
%A Wang B
%A Tong Y
%A Cao Y
%A Chen W
%J Clin Respir J
%V 18
%N 8
%D 2024 Aug
%M 39118279
%F 1.761
%R 10.1111/crj.13806
%X <B>OBJECTIVE: </B>Construction nomogram was to effectively predict long-term prognosis in patients with non-small cell lung cancer (NSCLC).<BR><B>METHODS: </B>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.<BR><B>RESULTS: </B>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.<BR><B>CONCLUSIONS: </B>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.