Predictive values of the selected inflammatory index in elderly patients with papillary thyroid cancer.
Predictive values of the selected inflammatory index in elderly patients with papillary thyroid cancer.
复制标题
所选炎症指标对老年甲状腺乳头状癌患者的预测价值
DOI:
10.1186/s12967-018-1636-y
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发表时间:
2018-09-21
影响因子:
7.4
通讯作者:
Chen H
中科院分区:
文献类型:
--
作者:
Wen W;Wu P;Li J;Wang H;Sun J;Chen H
BackgroundThe American Joint Committee on Cancer has recently revised the tumor-node-metastasis (TNM) staging system on thyroid cancer, which illustrated that the cut-off age for predicting mortality has elevated from 45 to 55 years old. We aimed to investigate the inflammation index based on hematological parameters to predict the clinical characteristics of elderly papillary thyroid cancer (PTC) patients with an inferior prognosis.MethodsWe retrospectively analyzed 558 patients newly diagnosed with PTC from January 2013 to December 2017, and 82 out of the 558 patients were over 55 years old. Receiver operating characteristic (ROC) study and univariate and multivariate logistic analysis was conducted to evaluate the diagnostic value of these preoperative inflammation indexes in PTC patients ≥ 55 years of age.ResultsElevated neutrophils were prognostic of bilaterality (area under the ROC curve (AUC) = 0.673, p = 0.023) and lymph node metastasis (AUC = 0.649, p = 0·020). Decreased mean platelet volume (MPV) and platelet distribution width (PDW) were prognostic of coexistence with Hashimoto’s thyroiditis (AUC = 0.736, p = 0.016; AUC = 0.721, p = 0.024). Elevated lymphocyte and lymphocyte-to-monocyte ratio (LMR) were prognostic of advanced TNM stage (AUC = 0.691, p = 0.029; AUC = 0.680, p = 0.040). Meanwhile, the logistic regression model further revealed that LMR ≥ 5.45 was an independent risk factor for the advanced TNM stage (odds ratio (OR) = 7.306, p = 0.036).ConclusionsThe preoperative neutrophils, lymphocytes, MPV, PDW, LMR were all prognostic. More importantly, the increased in LMR independently contributed to the advanced TNM stage of PTC patients ≥ 55 years.
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影响因子:
6.6
作者:
Qing, Wei;Fang, Wei-Yuan;Ning, Guang
通讯作者:
Ning, Guang
影响因子:
3.7
作者:
Jegerlehner S;Bulliard JL;Aujesky D;Rodondi N;Germann S;Konzelmann I;Chiolero A;NICER Working Group
通讯作者:
NICER Working Group
影响因子:
7.2
作者:
Bastid J;Bonnefoy N;Eliaou JF;Bensussan A
通讯作者:
Bensussan A
影响因子:
2.5
作者:
Jiang, Ke;Lei, Jianyong;Zhu, Jingqiang
通讯作者:
Zhu, Jingqiang
影响因子:
4.6
作者:
Song W;Tian C;Wang K;Zhang RJ;Zou SB
通讯作者:
Zou SB