Related Experiment Video
Updated: Feb 15, 2026

An Experimental Paradigm for the Prediction of Post-Operative Pain PPOP
Published on: January 27, 2010
Oxygen Uptake Efficiency Slope and Prediction of Post-operative Morbidity and Mortality in Patients with Lung Cancer
Sertaç Yakal1, Sevtün Sofyalı1, Berker Özkan2
1Department of Sports Medicine, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey.
Objective:
Peak oxygen consumption is a very valuable cardiopulmonary functional parameter in pre-operative evaluation of patients with lung cancer. However, it has several critical limitations for operability decision due to failure in achieving maximal level of exercise test for cases. The aim of this study was to reveal the importance of more accurate cardiopulmonary parameters that can be calculated from data of submaximal level test, such as oxygen uptake efficiency slope (OUES) and to determine whether it could be used in the operability decision phase for borderline cases by means of morbidity and mortality.
Materials And Methods:
One hundred and twenty-five patients who were scheduled to undergo lung surgery due to lung cancer were included in the study. Peak oxygen uptake (pVO2), heart rate at the anaerobic threshold, and oxygen consumption volume at anaerobic threshold values were obtained after performing the cardiopulmonary exercise test. The OUES value was calculated from the ratio of the peak VO2 value and logarithmic equivalent of the ventilatory volume (VE). The following equation was used for determining OUES: VO2/log10 VE.
Results:
The peak VO2 mean value was 21.37 ± 4.20 mL/min/kg in patients. However, OUES mean value was 12.44 ± 2.11. When the metabolic parameters of the patients were compared, a significant correlation was determined between the peak VO2 value and peak VE, OUES, and survival (p < 0.01).
Conclusion:
This study demonstrated that OUES is significantly correlated with peak VO2 and it does not require the performance of maximal exercise and can be used together with peak VO2 in this patient population when there is difficulty in making decision for surgery in patients with lung cancer.
More Related Videos
06:46Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
07:43Using 22C3 Anti-PD-L1 Antibody Concentrate on Biopsy and Cytology Samples from Non-small Cell Lung Cancer Patients
Published on: September 25, 2018
Related Concept Videos
Cardiomyopathy VII: Pre and Post Operative Nursing Management
Predicting Molecular Geometry
Lung Capacity
Prediction Intervals
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
Real Number Operations
Operational Amplifiers