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| Risk grouping after survival analysis of non-small-cell lung cancer surgery patients |
| Jiang Hao, Wang Xinyu, Su Shaofei, Zhang Meiqi, Wang Jiaying, Li Xi, Liu Meina |
| Department of Biostatistics, Harbin Medical University, Harbin 150081, China |
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Abstract Objective We obtained risk score through survival analysis of non-small-cell lung cancer surgery patients, and grouped death risk and discriminated patients with different death risk, so as to provide information to improve postoperative survival of patients. Methods We collected non-small-cell lung cancer medical records and follow-up data, and used Cox proportional hazards model for multivariate analysis, with the final model including factors with P＜0.10. The risk score was designed from coefficients of the significant factor1 and patients were divided into different groups according to their total score. Survival curves were estimated using Kaplan-Meier method. Results We collected 660 consecutive medical records and follow-up data in 5 years, and the overall 5-year survival rate was 55%. The final Cox regression model included age, tumor size, pathological types, pathological stage and systematic nodal dissection. Patients were grouped into low, medium, high and very high risk groups according to the risk scores. Five-year survival rates of the four groups were 66.4% in the low risk group, 53.4%(OR=1.72) in the medium group, 43.8%(OR=2.53) in the high risk group and 19.2%(OR=8.29) in the very high risk group respectively, and the difference was statistically significant different when the low risk group was compared with the other three groups. Conclusion We conducted survival analysis of non-small-cell lung cancer surgery patients and divided patients into different groups according to death risk scores, so as to differentiate patients of different death risks effectively. According to death risk groups, we can provide information for clinic for developing postoperative treatment, preventing postoperative death, and improving survival of non-small-cell lung cancer surgery patients.
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Received: 20 March 2017
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