Predictive value of inflammatory and nutritional indices for postoperative survival of elderly patients with esophageal squamous carcinoma
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摘要:目的
探讨炎症及营养指标对老年食管鳞癌患者术后生存的预测价值。
方法采用回顾性队列研究方法。收集2019年1月至2020年4月四川省肿瘤医院收治的130例老年食管鳞癌患者的临床病理资料;男102例,女28例;年龄为(70±4)岁。正态分布的计量资料以x±s表示。偏态分布的计量资料以M(Q1,Q3)或M(范围)表示。计数资料以绝对数表示,组间比较采用χ²检验。绘制受试者工作特征曲线(ROC)并计算曲线下面积(AUC)和最佳截断值,采用Kaplan⁃Meier法绘制生存曲线。Log‑rank检验进行生存分析。采用COX比例风险回归模型进行单因素和多因素分析。
结果(1)炎症及营养指标预测老年食管鳞癌患者术后生存情况。ROC分析结果显示:术前全身免疫炎症指数(SII)、系统炎症反应指数(SIRI)、中性粒细胞和淋巴细胞比值(NLR)、血小板和淋巴细胞比值(PLR)、预后营养指数(PNI)预测老年食管鳞癌患者术后生存情况的最佳截断值分别为470.71×109/L、1.11、2.07、136.24、46.28。(2)影响老年食管鳞癌患者术后生存情况的危险因素分析。多因素分析结果显示:术前SII≥470.71×109/L、术前SIRI≥1.11、术前PNI<46.28、术前患者主观整体营养评估量表(PG‑SGA)评分≥4分、术后病理学分期为Ⅳ期和术后有并发症是影响老年食管鳞癌患者术后总生存时间的独立危险因素(风险比=3.30、2.50、0.36、4.86、1.57、1.97,95%可信区间为1.10~9.88、1.07~5.88、0.16~0.81、1.13~20.87、1.20~2.06、1.02~3.82,P<0.05)。(3)随访情况。130例患者均获得随访,随访时间为39(1~60)个月。130例患者中,81例生存,49例死亡,中位总生存时间未达到。130例患者1、3年生存率分别为83.85%、54.62%。①术前SII≥470.71×109/L和<470.71×109/L患者的中位总生存时间分别为25(0,43)个月和未达到,两者比较,差异有统计学意义(χ2=60.59,P<0.05)。②术前SIRI≥1.11和<1.11患者的中位总生存时间分别为26(0,44)个月和未达到,两者比较,差异有统计学意义(χ²=45.57,P<0.05)。③术前PNI≥46.28和<46.28患者的中位总生存时间分别为未达到和38(0,47)个月,两者比较,差异有统计学意义(χ²=12.53,P<0.05)。④术前PG⁃SGA评分<4分和≥4分患者的中位总生存时间均为未达到,两者比较,差异有统计学意义(χ²=14.41,P<0.05)。⑤术后病理学分期为Ⅲ期患者的中位总生存时间为25(1,47)个月,Ⅳ期患者的中位总生存时间为12(1,32)个月,0期、Ⅰ期、Ⅱ期患者的中位总生存时间均为未达到,5者比较,差异有统计学意义(χ²=58.75,P<0.05)。⑥术后有并发症和无并发症患者的中位总生存时间分别为33(1,47)个月和未达到,两者比较,差异有统计学意义(χ²=14.27,P<0.05)。
结论术前SII、SIRI和PNI对老年食管鳞癌患者术后生存情况具有良好预测价值;术前SII≥470.71×109/L、SIRI≥1.11、PNI<46.28、PG‑SGA评分≥4分,术后病理学分期为Ⅳ期、术后有并发症是影响老年食管鳞癌患者术后总生存时间的独立危险因素。术前SII<470.71×109/L、SIRI<1.11、PNI≥46.28、PG‑SGA评分<4分,术后病理学分期为0期、Ⅰ期、Ⅱ期,术后无并发症患者的生存情况更好。
Abstract:ObjectiveTo investigate the predictive value of inflammatory and nutritional indices for postoperative survival of elderly patients with esophageal squamous carcinoma.
MethodsThe retrospective cohort study was conducted. The clinicopathological data of 130 elderly patients with esophageal squamous carcinoma who were admitted to Sichuan Cancer Hospital from January 2019 to April 2020 were collected. There were 102 males and 28 females, aged (70±4)years. Mea-surement data with normal distribution were represented as Mean±SD. Measurement data with skewed distribution were represented as M(Q1,Q3) or M(range). Count data were expressed as absolute numbers, and comparison between groups was conducted using the chi‑square test. Receiver opera-ting characteristic (ROC) curves were plotted. The area under the curve (AUC) and optimal cut-off values were calculated. The Kaplan‑Meier method was used to plot survival curves, and the Log-rank test was used for survival analysis. The COX proportional hazard regression model was used for univariate and multivariate analyses.
Results(1) Postoperative survival of elderly patients with esophageal squamous carcinoma predicted by inflammatory and multitional indices. Results of ROC curves analysis showed that the best cut‑off values of preoperative systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and prognostic nutrition index (PNI) for predicting postoperative survival of elderly patients with esophageal squamous carcinoma were 470.71×109/L, 1.11, 2.07, 136.24, and 46.28, respectively. (2) Risk factors analysis of postoperative survival of elderly patients with esophageal squamous carcinoma. Results of multivariate analysis showed that preoperative SII ≥470.71×109/L, preoperative SIRI ≥1.11, preoperative PNI<46.28, score of preoperative patient-generated subjective global assessment (PG‑SGA) ≥4, postoperative pathological stage Ⅳ and post-operative complications were independent risk factors for the overall survival time of elderly patients with esophageal squamous carcinoma (hazard ratio=3.30, 2.50, 0.36, 4.86, 1.57, 1.97, 95% confidence interval as 1.10‒9.88, 1.07‒5.88, 0.16‒0.81, 1.13‒20.87, 1.20‒2.06, 1.02‒3.82, P<0.05). (3) Follow-up. All the 130 patients were followed up for 39(range, 1‒60)months. Of the 130 patients, 81 cases survived, 49 cases died, and the median overall survival time was not reached. The 1‑ and 3‑year survival rates of the 130 patients were 83.85% and 54.62%, respectively. ① The median overall survival time was 25(0,43)months for patients with SII ≥470.71×109/L, and unreached for patients with SII <470.71×109/L, showing a significant difference between them (χ²=60.59, P<0.05). ② The median overall survival time was 26(0,44)months for patients with SIRI ≥1.11, and unreached for patients with SIRI <1.11, showing a significant difference between them (χ²=45.57, P<0.05). ③ The median overall survival time was unreached for patients with PNI ≥46.28, and 38(0,47)months for patients with PNI <46.28, showing a significant difference between them (χ²=12.53, P<0.05). ④ The median overall survival time was unreached for patients with PG-SGA <4 and ≥4, showing a signifi-cant difference between them (χ²=14.41, P<0.05). ⑤ The median overall survival time was 25(1,47)months for patients in pathological stage Ⅲ, 12(1,32)months for patients in stage Ⅳ, and unreached for patients in stage 0, Ⅰ, Ⅱ, respectively, showing a significant difference among them (χ²=58.75, P<0.05). ⑥ The median overall survival time was 33(1,47)months for patients with postoperative complication, and unreached for patients without postoperative complication, showing a significant difference between them (χ²=14.27, P<0.05).
ConclusionsPreoperative SII, SIRI and PNI have good predictive value for postoperative survival in elderly patients with esophageal squamous carcinoma. Preoperative SII ≥470.71×109/L, preoperative SIRI ≥1.11, preoperative PNI <46.28, score of preoperative PG‑SGA ≥4, postoperative pathological stage Ⅳ, and postoperative complications are independent risk factors for the overall survival time of elderly patients with esophageal squamous carcinoma. Patients with preoperative SII <470.71×109/L, preoperative SIRI <1.11, preoperative PNI >46.28, score of preoperative PG-SGA <4, postoperative pathological stage 0, Ⅰ, Ⅱ, and non post-operative complications have better survival.
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张玉霞、谢钦:收集数据,数据整理和论文撰写;张玉霞、魏思瑞、姜龙琳、缪艳:数据分析及论文修改;谢丽:统计学方法指导及审核;韩泳涛、缪艳:研究指导,经费支持所有作者均声明不存在利益冲突张玉霞, 谢钦, 魏思瑞, 等. 炎症及营养指标对老年食管鳞癌患者术后生存的预测价值[J]. 中华消化外科杂志, 2024, 23(9): 1200-1208. DOI: 10.3760/cma.j.cn115610-20240711-00332.
http://journal.yiigle.com/LinkIn.do?linkin_type=cma&DOI=10.3760/cma.j.cn115610-20240711-24332
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图 1 术前SII、SIRI、NLR、PLR预测130例老年食管鳞癌患者术后生存情况的受试者工作特征曲线
注:SII为全身免疫炎症指数;SIRI为系统炎症反应指数;NLR为中性粒细胞和淋巴细胞比值;PLR为血小板和淋巴细胞比值
Figure 1. Receiver operating characteristic curves of preoperative systemic immune inflammation index, systemic inflammation response index, neutrophil⁃to⁃lymphocyte ratio and platelet⁃to⁃lymphocyte ratio for predicting postoperative survival in 130 elderly patients with esophageal squamous carcinoma
表 1 影响130例老年食管鳞癌患者术后总生存时间的单因素分析
Table 1 Univariate analysis of postoperative overall survival time in 130 elderly patients with esophageal squamous carcinoma
临床病理因素 b值 标准误 Wald值 风险比(95%可信区间) P值 术前SII(≥470.71×109/L比<470.71×109/L) 2.30 0.36 40.71 9.98(4.92~20.24) <0.001 术前SIRI(≥1.11比<1.11) 1.96 0.34 33.86 7.13(3.68~13.82) <0.001 术前NLR(≥2.07比<2.07) 1.39 0.29 22.51 4.03(2.27~7.17) <0.001 术前PLR(≥136.24比<136.24) 1.25 0.31 16.68 3.49(1.92~6.37) <0.001 术前PNI(≥46.28比<46.28) -1.14 0.34 11.12 0.32(0.16~0.62) 0.001 术前PG‑SGA评分(≥4分比<4分) 2.23 0.72 9.56 9.33(2.26~38.44) 0.002 居住地(城市比农村) 0.72 0.30 5.80 2.06(1.14~3.71) 0.016 术后病理学分期(0期、Ⅰ期、Ⅱ期、Ⅲ期、Ⅳ期) 0.71 0.14 26.26 2.04(1.55~2.68) <0.001 术后并发症(无比有) 1.08 0.30 12.83 2.94(1.63~5.30) <0.001 文化程度(小学及以下、初中、高中、大专、本科及以上) -0.01 0.17 0.01 0.99(0.71~1.38) 0.944 婚姻状况(在婚、离异、其他) 0.07 0.23 0.10 1.08(0.69~1.69) 0.757 家庭人均月收入(<4 000元、4 000~7 999元、≥8 000元) -0.03 0.12 0.07 0.97(0.76~1.23) 0.789 医疗付费方式(自费、市职工医保、市城乡医保、省医保、省异地医保、其他) -0.15 0.09 2.53 0.86(0.72~1.04) 0.112 基础疾病(无比有) 0.10 0.32 0.10 1.11(0.59~2.08) 0.758 注: SII为全身免疫炎症指数;SIRI为系统炎症反应指数;NLR为中性粒细胞和淋巴细胞比值;PLR为血小板和淋巴细胞比值;PNI为预后营养指数;PG‑SGA为患者主观整体营养评估量表表 2 影响130例老年食管鳞癌患者术后总生存时间的多因素分析
Table 2 Multivariate analysis of postoperative overall survival time in 130 elderly patients with esophageal squamous carcinoma
临床病理因素 b值 标准误 Wald 值 风险比(95%可信区间) P值 术前SII(≥470.71×109/L比<470.71×109/L) 1.19 0.56 4.56 3.30(1.10~9.88) 0.033 术前SIRI(≥1.11比<1.11) 0.92 0.44 4.42 2.50(1.07~5.88) 0.035 术前PNI(≥46.28比<46.28) -1.03 0.42 6.12 0.36(0.16~0.81) 0.013 术前PG‑SGA评分(≥4分比<4分) 1.58 0.74 4.53 4.86(1.13~20.87) 0.033 术后病理学分期(0期、Ⅰ期、Ⅱ期、Ⅲ期、Ⅳ期) 0.45 0.14 10.91 1.57(1.20~2.06) 0.001 术后并发症(无比有) 0.68 0.34 4.06 1.97(1.02~3.82) 0.044 注: SII为全身免疫炎症指数;SIRI为系统炎症反应指数;PNI为预后营养指数;PG‑SGA为患者主观整体营养评估量表 -
[1] ZhangH, XiaoW, RenP, et al. The prognostic performance of the log odds of positive lymph nodes in patients with esophageal squamous cell carcinoma: a population study of the US SEER database and a Chinese single‑institution cohort[J]. Cancer Med,2021,10(17):6149‑6164. DOI:10.10 02/cam4.4120.
[2] PanL, LiuX, WangW, et al. The influence of different treatment strategies on the long‑term prognosis of T1 stage esophageal cancer patients[J]. Front Oncol,2021,11:700088. DOI: 10.3389/fonc.2021.700088.
[3] YanL, NakamuraT, Casadei‑GardiniA, et al. Long‑term and short‑term prognostic value of the prognostic nutritional index in cancer: a narrative review[J]. Ann Transl Med,2021,9(21):1630. DOI: 10.21037/atm-21-4528.
[4] AnL, ZhengR, ZengH, et al. The survival of esophageal cancer by subtype in China with comparison to the United States[J]. Int J Cancer,2023,152(2):151‑161. DOI: 10.1002/ijc.34232.
[5] HuangFL, YuSJ. Esophageal cancer: Risk factors, genetic association, and treatment[J]. Asian J Surg,2018,41(3):210‑215. DOI: 10.1016/j.asjsur.2016.10.005.
[6] 赖伟松.基于SEER数据库的老年局部晚期食管癌患者预后列线图构建[D].汕头:汕头大学,2022. DOI:10.27295/d.cnki.gstou. 2022.000846. [7] 叶敬霆.老年食管癌患者(≥70岁)的临床特征及预后分析:基于SEER数据库的回顾性研究[D].扬州:扬州大学,2018. DOI:10.7666/d. Y3432875. [8] Winther‑LarsenA, Aggerholm‑PedersenN, Sandfeld-PaulsenB. Inflammation scores as prognostic biomarkers in small cell lung cancer: a systematic review and meta‑analysis[J]. Syst Rev,2021,10(1):40. DOI:10.1186/s13643-021-015 85-w.
[9] 毛磊.术前PLR、NLR、MLR、SII、SIRI对肝切除术后肝细胞癌预后的影响[D].郑州:河北医科大学,2018. DOI: 10.7666/d.D01514764. [10] BeardJR, OfficerAM, CasselsAK. The world report on ageing and health[J]. Gerontologist,2016,56(Suppl 2):S163-S166. DOI: 10.1093/geront/gnw037.
[11] BauerJ, CapraS, FergusonM. Use of the scored Patient-Generated Subjective Global Assessment (PG‑SGA) as a nutrition assessment tool in patients with cancer[J]. Eur J Clin Nutr,2002,56(8):779‑785. DOI: 10.1038/sj.ejcn.1601412.
[12] XiangM, LiangZ, GaoY, et al. Prognostic value of final pathological stage in colon adenocarcinoma after neoadjuvant chemotherapy: a propensity score‑matched study[J]. Front Surg,2022,9:1022025. DOI:10.3389/fsurg.2022. 1022025.
[13] NakazawaN, SohdaM, YamaguchiA, et al. Preoperative risk factors and prognostic impact of postoperative complications associated with total gastrectomy[J]. Digestion,2022,103(6):397‑403. DOI: 10.1159/000525356.
[14] 陈万青,郑荣寿,张思维,等.2013年中国老年人群恶性肿瘤发病和死亡分析[J].中华肿瘤杂志,2017,39(1):60‑66. DOI: 10.3760/cma.j.issn.0253-3766.2017.2.012. [15] 章晓聪,彭鹏,吴春晓,等.2016年上海市食管癌发病和死亡情况与2002—2016年的变化趋势分析[J].肿瘤,2023,43(4):287-296. DOI: 10.3781/j.issn.1000-7431.2023.2303-0108. [16] 赵彦,祝淑钗,沈文斌,等.系统免疫炎症指数对食管癌放疗患者预后的影响[J].肿瘤,2021,41(6):409-417. DOI:10.37 81/j.issn.1000-7431.2021.2012-1140. [17] 盛虹,曹伟新.老年恶性肿瘤患者营养状况与一年内病死率的相关性分析[J].诊断学理论与实践,2017,16(4):425-429.DOI: 10.16150/j.1671-2870.2017.04.016. [18] 巴福华,钟鸣,陈影,等.再喂养综合征的临床防治进展[J].诊断学理论与实践,2023,22(1):80-84. DOI: 10.16150/j.1671-2870.2023.01.013. [19] 卓嘉璐,李子祥,韩婷.预后营养指数与相位角在结直肠肿瘤病人营养不良诊断中的价值[J].肠外与肠内营养,2022,29(3):129-134. DOI: 10.16151/j.1007-810x.2022.03.001. [20] KaziM, GoriJ, SasiS, et al. Prognostic nutritional index prior to rectal cancer resection predicts overall survival[J]. Nutr Cancer,2022,74(9):3228‑3235. DOI:10.1080/016 35581.2022.2072906.
[21] 缪艳,殷鸿,李姗姗,等.食管鳞癌患者预后营养指数与炎症反应标志物相关性分析[J/CD].肿瘤代谢与营养电子杂志,2021,8(3):274‑278. [22] 洪伟,吴斌,汪路超,等.早期肠内营养在食管癌术后的临床应用研究[J].肠外与肠内营养,2023,30(3):154-159. DOI: 10.16151/j.1007-810x.2023.03.006. [23] 刘旭东,王云生,杜鹏,等.术前淋巴细胞与单核细胞比值‑血小板与淋巴细胞比值评分模型对胰腺导管腺癌根治术预后的预测价值[J].中华消化外科杂志,2023,22(11):1351-1360. DOI: 10.3760/cma.j.cn115610-20230930-00125. [24] 夏娴娴,顾海娟,陆海敏,等.术前营养支持对食管癌术后营养状态、并发症及生活质量的影响[J].肠外与肠内营养,2022,29(5):274-279. DOI:10.16151/j.1007-810x.2022.05. 004. [25] 何天皓.术前全身炎症反应指数(SIRI)与结肠癌预后评估价值研究[D].长春:吉林大学,2022. DOI: 10.27162/d.cnki.gjlin.2022.006015. [26] DingP, GuoH, SunC, et al. Combined systemic immune-inflammatory index (SII) and prognostic nutritional index (PNI) predicts chemotherapy response and prognosis in locally advanced gastric cancer patients receiving neoadjuvant chemotherapy with PD‑1 antibody sintilimab and XELOX: a prospective study[J]. BMC Gastroenterol,2022, 22(1):121. DOI: 10.1186/s12876-022-02199-9.
[27] 蔡北平,胡正茂,陆俊,等.系统免疫炎症指数与Siewert Ⅱ、Ⅲ型食管胃结合部腺癌术后预后的关系[J].中国现代普通外科进展,2023,26(6):482-484,488. DOI:10.3969/j.issn. 1009-9905.2023.06.016. [28] ZhuM, ChenL, KongX, et al. The systemic inflammation response index as an independent predictor of survival in breast cancer patients: a retrospective study[J]. Front Mol Biosci,2022,9:856064. DOI: 10.3389/fmolb.2022.856064.
[29] JiangS, WangS, WangQ, et al. Systemic inflammation response index (SIRI) independently predicts survival in advanced lung adenocarcinoma patients treated with first-generation EGFR‑TKIs[J]. Cancer Manag Res,2021,13:1315-1322. DOI: 10.2147/CMAR.S287897.
[30] Ming‑ShengF, Mei‑LingD, Xun‑QuanC, et al. Preoperative neutrophil‑to‑lymphocyte ratio, platelet‑to‑lymphocyte ratio, and CEA as the potential prognostic biomarkers for colo-rectal cancer[J]. Can J Gastroenterol Hepatol,2022,2022:3109165. DOI: 10.1155/2022/3109165.
[31] 马炳奇,孟慧娟,张伟,等.多种免疫炎症指标对肝内胆管癌患者根治性切除术后预后的预测价值[J].临床肝胆病杂志,2022,38(9):2061-2066. DOI:10.3969/j.issn.1001-5256. 2022.09.021. [32] 楚伟可,吴雪,张鹏,等.炎症标志物对早期小肝癌行射频消融术预后的预测价值[J].临床肝胆病杂志,2022,38(4):843-850. DOI: 10.3969/j.issn.1001-5256.2022.04.020. [33] XieT, HouD, WangJ, et al. Neutrophil‑to‑lymphocyte ratio and platelet‑to‑lymphocyte ratio as predictive markers in hepatoblastoma[J]. Front Pediatr,2023,11:904730. DOI: 10.3389/fped.2023.904730.
[34] ParkY, ChangAR. Neutrophil to lymphocyte ratio and platelet to lymphocyte ratio in hepatocellular carcinoma treated with stereotactic body radiotherapy[J]. Korean J Gastroenterol,2022,79(6):252‑259. DOI:10.4166/kjg.2022. 021.
[35] 石坚,严燃星,杨勇.术前外周血NLR和PLR水平预测三阴性乳腺癌预后的临床价值[J].中国现代普通外科进展,2022,25(3):235-237,241. DOI:10.3969/j.issn.1009-9905.2022. 03.017. [36] 姜兆志,禚志明,汤小龙,等.外周血中性粒细胞/淋巴细胞比值与进展期胃癌患者新辅助化疗效果及预后的相关性分析[J].中国现代普通外科进展,2023,26(10):787-792. DOI: 10.3969/j.issn.1009-9905.2023.10.007. [37] 袁晓飞.SII和SIRI的动态观察对鼻咽癌患者预后预测价值的回顾性研究[D].广州:南方医科大学,2021. DOI:10.27003/d.cnki.gojyu.2021. 000738. [38] ShenYJ, QianLQ, DingZP, et al. Prognostic value of inflammatory biomarkers in patients with stage Ⅰ lung adenocarcinoma treated with surgical dissection[J]. Front Oncol,2021,11:711206. DOI: 10.3389/fonc.2021.711206.
[39] 王安琪,王子安.系统免疫炎性指数联合预后营养指数判断胃癌预后的价值分析[J].医学研究杂志,2023,52(7):113-118. DOI: 10.11969/j.issn.1673-548X.2023.07.023. [40] ZhuoZG, LuoJ, SongH, et al. Is immunonutrition superior to standard enteral nutrition in reducing postoperative complications in patients undergoing esophagectomy? A meta‑analysis of randomized controlled trials[J]. J BUON,2021,26(1):204‑210.
[41] SagarRC, KumarK, RamachandraC, et al. Perioperative artificial enteral nutrition in malnourished esophageal and stomach cancer patients and its impact on postoperative complications[J]. Indian J Surg Oncol,2019,10(3):460-464. DOI: 10.1007/s13193-019-00930-9.
[42] SugawaraK, AikouS, YajimaS, et al. Pre‑ and post-operative low prognostic nutritional index influences survival in older patients with gastric carcinoma[J]. J Geriatr Oncol,2020, 11(6):989‑996. DOI: 10.1016/j.jgo.2020.02.007.
[43] 袁冯,刘姗姗,葛少文,等.预后营养指数在口腔癌病人预后评估中的价值[J].肠外与肠内营养,2022,29(4):231-236. DOI: 10.16151/j.1007-810x.2022.04.007. [44] GeJ, LeiY, WenQ, et al. The prognostic nutritional index, an independent predictor of overall survival for newly diagnosed follicular lymphoma in China[J]. Front Nutr,2022,9:981338. DOI: 10.3389/fnut.2022.981338.
[45] 唐文超,李远伟,陈佳,等.预后营养指数评估根治性膀胱切除术患者预后的Meta分析[J].肿瘤防治研究,2021,48(9):871‑876. DOI: 10.3971/j.issn.1000-8578.2021.21.0326. [46] 卓嘉璐,李子祥,韩婷.预后营养指数与相位角在结直肠肿瘤病人营养不良诊断中的价值[J].肠外与肠内营养,2022,29(3):129-134. DOI: 10.16151/j.1007-810x.2022.03.001. [47] HanedaR, HiramatsuY, KawataS, et al. Survival impact of perioperative changes in prognostic nutritional index levels after esophagectomy[J]. Esophagus,2022,19(2):250‑259. DOI: 10.1007/s10388-021-00883-5.
[48] 冯丹,王光明.预后营养指数在食管癌放射治疗患者预后中的意义及预测模型[J/CD].肿瘤代谢与营养电子杂志,2022,9(6):794‑799. DOI:10.16689/j.cnki.cn11-9349/r.2022.06. 018. [49] 张铨,宋海峰,马冰磊,等.术前预后营养指数可作为预测非转移性肾细胞癌预后的指标[J].北京大学学报:医学版,2023,55(1):149‑155. DOI:10.19723/j.issn.1671-167X.2023.01. 023. [50] MaejimaK, TaniaiN, YoshidaH. The prognostic nutritio-nal index as a predictor of gastric cancer progression and recurrence [J]. J Nippon Med Sch,2022,89(5):487‑493. DOI: 10.1272/jnms.JNMS.2022_89-507.