Journal of Inflammation Research (Jun 2022)
Naples Prognostic Score is an Independent Prognostic Factor in Patients with Small Cell Lung Cancer and Nomogram Predictive Model Established
Abstract
Shuangqing Chen,1,2 Shicheng Liu,1 Siwei Xu,3 Shumin Cao,4,5 Zhaohui Han,1,2 Lingxin Kong,1,5 Dahu Ren,1,5 Guochen Duan6 1Department of Thoracic Surgery, Hebei General Hospital, Shijiazhuang, 050057, People’s Republic of China; 2Graduate School, Hebei North University, Zhangjiakou, 075000, People’s Republic of China; 3Department of Thoracic Surgery, The First Hospital of Hebei Medical University, Shijiazhuang, 050057, People’s Republic of China; 4Department of Oncology, Hebei General Hospital, Shijiazhuang, 050057, People’s Republic of China; 5Graduate School, Hebei Medical University, Shijiazhuang, 050011, People’s Republic of China; 6Department of Thoracic Surgery, Children’s Hospital of Hebei Province, Shijiazhuang, 050000, People’s Republic of ChinaCorrespondence: Guochen Duan, Children’s Hospital of Hebei Province, No. 133 Jianhua South Street, Yuhua District, Shijiazhuang, 050000, People’s Republic of China, Tel +8613513380703, Email [email protected] Shicheng Liu, Hebei General Hospital, No. 348, Heping West Road, Xinhua District, Shijiazhuang, 050000, People’s Republic of China, Tel +861309388955, Email [email protected]: The routine clinical nutritional and inflammatory indicators such as serum albumin, total cholesterol and lymphocytes have been widely investigated in the prognosis of small cell lung cancer (SCLC). The Naples prognostic score (NPS), based on nutritional and inflammatory status, has been identified as a prognostic impactor in several malignancies. However, the prognostic role of NPS in SCLC has not been elucidated. This study aims to evaluate the prognostic effect of NPS in SCLC patients.Patients and Methods: Patients with SCLC were recruited at Hebei General Hospital between April 2015 and August 2021. Pretreatment clinical and laboratory data were obtained. Participants were assigned into three groups according to NPS (group 0: NPS=0, group 1: NPS=1 or 2, group 2: NPS=3 or 4). Kaplan-Meier and Cox regression analysis were performed to assess the prognostic significance of NPS. The RMS package in R software was used to draw the nomogram predictive model.Results: A total of 128 patients were enrolled. The median progression-free survival (PFS) and overall survival (OS) was 7.2 and 12.3 months, respectively. The median PFS and OS was 12.3 vs 19.8 months, 7.6 vs 14.1 months and 6.0 vs 8.45 months for the three groups respectively. There were significant differences in both OS and FPS among the three groups. Survival analysis showed that NPS was significantly correlated with both OS and PFS (P< 0.05). Lower NPS is associated with longer OS and PFS. Multivariate analysis showed that NPS has an independent prognostic impact on OS (P< 0.05). The nomogram predictive model showed that NPS has good predictive power for survival rates.Conclusion: NPS is an independent prognostic factor for OS in SCLC patients. Low NPS may predict longer OS. Therefore NPS plays a vital role in the nomogram predictive model of survival rates in SCLC patients.Keywords: small cell lung cancer, Naples prognostic score, prognostic factor, nomogram predictive model
