P-176PROGNOSTIC MODEL FOR NON-SMALL-CELL LUNG CANCER PATIENTS LONG-TERM POSTOPERATIVE SURVIVAL AND HEALTH-RELATED QUALITY OF LIFE

• Published in: Interactive cardiovascular and thoracic surgery 2014-06, Vol.18 (suppl_1), p.S46-S46
• Main Authors: Rauma, Ville, Ilonen, I.K., Sintonen, H., Räsänen, J.V., Salo, J.A.
• Format: Article
• Language: English
• ISSN: 1569-9293; 1569-9285
• DOI: 10.1093/icvts/ivu167.176

Objectives: To evaluate patient, disease and treatment features in order to predict long-term survival and long-term health-related quality of life (HRQoL) in patients with non-small-cell lung cancer. Methods: A total of 586 non-small-cell lung cancer (NSCLC) patients were operated between January 2000 and June 2009. Two validated quality of life questionnaires, the 15D and the EORTC QLQ-C30, were sent to patients alive in June 2011. Patient, disease and treatment features predicting survival and long-term HRQoL were identified using a binary logistic regression model and two different linear regression models, respectively. Features included in the models: gender, age at time of operation, time since operation, smoking status and smoking pack years, comorbidities measured with Charlson comorbidity index, preoperative FEV1% of predicted value, neoadjuvant therapy, type of operation and extent of resection, pathological stage and histology of tumour, postoperative complications, and adjuvant therapy. Results: Two hundred and seventy-six patients were sent questionnaires and 230 (83%) replied. Median follow-up time was 4.85 years. Features predicting lower survival rate: old age at operation time, presence of comorbidity, pathological stage II-IV, postoperative infections, and male gender. Features associated with poorer long-term HRQoL measured with the 15D: comorbidity, preoperatively decreased FEV1% of predicted value, postoperative complications use of VATS technique. When measured with QLQ-C30, decreased preoperative FEV1% and bleeding complications had similar effect on HRQoL, while adjuvant chemotherapy predicted higher long-term HRQoL. The score representing HRQoL ranges between 0 and 1 in 15D and between 0 and 100 in QLQ-C30, a higher score representing a better quality of life. Conclusions: With the patient and disease features used in the study, long-term survival can be predicted fairly well while long-term HRQoL stays poorly predictable. Postoperative complications seem to have a long-lasting effect on patients' wellbeing. Better indicators for long-term HRQoL need to be determined in the future, especially such that can be altered already preoperatively. Disclosure: No significant relationships.