Abstract：Objective To investigate the clinical value of prognostic nutritional index PNI for predicting the survival outcome of
non-small cell lung cancer NSCLC patients. Method The clinicopathological information and survival data of 150 NSCLC patients
who underwent surgical resection in Haian Hospital from January 2017 to January 2019 were retrospectively collected and the PNI value calculated as peripheral blood lymphocyte count× 5+ serum albumin level. Receiver operator characteristic ROC curve was used to
determine the optimal cut-off value of PNI. Kaplan-Meier curves were plotted and multivariate Cox regression analysis were conducted
to determine the prognostic significance of PNI for NSCLC patients. Result ROC curve showed that the optimal cut-off value of preoperative PNI for predicting overall survival OS of NSCLC patients was 42. 6 and the area under curve AUC value sensitivity and
specificity was 0. 766 95%CI = 0. 605-0. 928 73. 3% and 77. 8% respectively. Based on the threshold of preoperative PNI all
patients were divided into high PNI ≥42. 6 n = 108 and low PNI group PNI<42. 6 n = 42 . By comparing the general information
and clinicopathological features between the two groups we found that preoperative low PNI <42. 6 was significantly correlated with
advanced age P= 0. 011 ECOG performance status P= 0. 041 and T stage P<0. 001 . Kaplan-Meier curves indicated that the
3-year overall survival OS of patients with PNI< 42. 6 and PNI≥42. 6 were 65. 5% and 96. 3% respectively
χ
2 = 21. 922 P<
0. 001 . The preoperative low PNI was a predictor of poor OS in NSCLC patients. Furthermore the results of the multivariate Cox regression analysis demonstrated that ECOG performance status HR = 4. 192 95% CI = 1. 136- 15. 465 P = 0. 031 T stage HR =
6. 832 95%CI = 2. 014-23. 178 P= 0. 002 lymph node metastasis HR= 2. 836 95%CI = 1. 001-8. 038 P= 0. 048 and preoperative PNI HR= 5. 069 95%CI = 1. 330-19. 317 P = 0. 017 were independent prognostic factors for NSCLC patients. Conclusion
Preoperative PNI might be used as a reliable predictor of OS in NSCLC patients with a significant clinical value.
收稿日期: 2021-10-09
基金资助:江苏省卫生计生委 2018 年度医学科研课题(H201883)
通讯作者:
仲扬荣,电子邮箱:szm4567nt@163.com
引用本文:
仲扬荣,陆松华,杨长刚. 预后营养指数在非小细胞肺癌患者预后评估中的应用研究
[J]. 肿瘤代谢与营养电子杂志, 2022, 9(3): 380-384.
Zhong Yangrong， Lu Songhua， Yang Changgang. Application of prognostic nutritional index in the prognostic evaluation of patients with non-small cell lung cancer. Electron J Metab Nutr Cancer, 2022, 9(3): 380-384.
