초록접수 현황
| 16F-065 | 구연 발표 |
The Prognostic Value of the Systemic Inflammation-based Prognostic Factors in Patients Undergoing Curative Resection for Esophageal Squamous Cell Carcinoma.
Sang Seok Jeong, Jung Hoon Yi, Jae Hwa Jeong, Pil Jo Choi
Department of Thoracic and Cardiovascular Surgery, Dong-A University Hospital, Dong-A University College of Medicine, Busan, Korea
Background : Inflammation-based prognostic factors such as Glasgow prognostic score(GPS) ,modified GPS(mGPS), high-sensitivity mGPS(HS-mGPS), neutrophil lymphocyte ratio (NLR), platelet lymphocyte ratio(PLR), C-reactive protein/Albumin(CRP/Alb) ratio, prognostic nutritional index(PNI) have been reported to have prognostic value in patients with certain types of cancer. The aim of the present study was to evaluate the potential role of the systemic inflammation-based prognostic factors in patients undergoing curative resection for esophageal squamous cell carcinoma(ESCC).
Methods : This retrospective study included 83 patients who underwent resection for ESCC between June 2004 and June 2014 in our institution. The figure of inflammation-based prognostic factors on preoperative blood cell counts, CRP and albumin were extracted from the medical records. The potential prognostic factors for morbidity, disease free survival(DFS) and overall survival(OS) were investigated and a subgroup analysis of localized cancer and advanced cancer was conducted.
Results : Age(odds ratio 1.1;p=0.040) and PNI(odds ratio 0.9;p=0.044) were identified as an independent prognostic factors of perioperative morbidity. T II (hazard ratio 3.7;p=0.036), T III (hazard ratio 5.2;p=0.001), T IV (hazard ratio 10.9;p=0.000) were significantly associated with poor DFS in multivariate analysis. Moreover, univariate analysis showed that the risk factors for OS consisted of body mass index, GPS, NLR, PLR, T factor, N factor and pathologic stage(pStage). Multivariate analysis revealed that NLR (hazard ratio 1.9;p=0.001), pStage II(hazard ratio 4.4;p=0.003), pStage III(hazard ratio 7.6;p=0.000) were independent risk factors for OS. In subgroup analysis, NLR (hazard ratio 2.1;p=0.010, hazard ratio 2.0;p=0.020) is associated with both localized cancer and advanced cancer and has independent prognostic significance on OS.
Conclusion : In patients undergoing curative resection for ESCC, preoperative PNI was identified as a significant predictor of morbidity and NLR was a useful factor for predicting long-term outcome. Therefore, in predicting postoperative complications and OS, the PNI and NLR are applicable as readily available and cost-effective biomarkers.
Methods : This retrospective study included 83 patients who underwent resection for ESCC between June 2004 and June 2014 in our institution. The figure of inflammation-based prognostic factors on preoperative blood cell counts, CRP and albumin were extracted from the medical records. The potential prognostic factors for morbidity, disease free survival(DFS) and overall survival(OS) were investigated and a subgroup analysis of localized cancer and advanced cancer was conducted.
Results : Age(odds ratio 1.1;p=0.040) and PNI(odds ratio 0.9;p=0.044) were identified as an independent prognostic factors of perioperative morbidity. T II (hazard ratio 3.7;p=0.036), T III (hazard ratio 5.2;p=0.001), T IV (hazard ratio 10.9;p=0.000) were significantly associated with poor DFS in multivariate analysis. Moreover, univariate analysis showed that the risk factors for OS consisted of body mass index, GPS, NLR, PLR, T factor, N factor and pathologic stage(pStage). Multivariate analysis revealed that NLR (hazard ratio 1.9;p=0.001), pStage II(hazard ratio 4.4;p=0.003), pStage III(hazard ratio 7.6;p=0.000) were independent risk factors for OS. In subgroup analysis, NLR (hazard ratio 2.1;p=0.010, hazard ratio 2.0;p=0.020) is associated with both localized cancer and advanced cancer and has independent prognostic significance on OS.
Conclusion : In patients undergoing curative resection for ESCC, preoperative PNI was identified as a significant predictor of morbidity and NLR was a useful factor for predicting long-term outcome. Therefore, in predicting postoperative complications and OS, the PNI and NLR are applicable as readily available and cost-effective biomarkers.
책임저자: Pil Jo Choi
Department of Thoracic and Cardiovascular Surgery, Dong-A University Hospital, Dong-A University College of Medicine, Busan, Korea
발표자: Sang Seok Jeong, E-mail : ssjeong49@hanmail.net