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Objective: To explore the predictive value of serum thyroglobulin autoantibody (TgAb) for recurrence / metastasisin of thyroglobulin (TG)-negative and TgAb-positive patients with differentiated thyroid carcinoma(DTC) after thyroid ablation. Methods: The clinical data of 57 patients with DTC,undergoing complete resection of thyroid tissue, TG negative and TgAb positive, who were reviewed in Liaocheng People's Hospital during April 2013 to April 2015, were selected and divided into recurrence/metastasis group (n=20) and no recurrence/metastasis group (n=37). The TG and TgAb levels in the two groups were detected and compared by the electrochemical luminescence method,the sensitivity, specificity, positive predictive value and negative predictive value of TgAb in the diagnosis of DTC recurrence / metastasis were analyzed; the independent risk factors of DTC recurrence / metastasis were analyzed by Logistic regression. Results: The TgAb levels(72～3850 IU/mL) in the recurrence/metastasis group was higher than that(18～3638 IU/mL) in the no recurrence/metastasis group, the difference was statistically significant (P＜0.05). The sensitivity, specificity positive predictive value, negative preictive value of TgAb in the diagnosis of recurrence/metastasis of DTC were 85.71％, 83.33％, 75.00％, 90.91％, respectively. Logistic Regression analysis showed that the 100≤ TgAb ＜204 IU/mL, 204≤ TgAb≤ 1000IU/mL, and ＞ 1000IU/rnL levels of TgAb were the independent risk factors of rucurrence/metastasis of DTC (OR=1.267, 2.853, 6.791, P＜0.05). Conclusion: TgAb can be used as evaluation of an important index of the recurrence/metastasis of patients with DTC when serum thyroglobulin (TG) was negative and TgAb was positive after thyroid ablation. The higher the TgAb levels, the more probability of the recurrence/metastasis. [ABSTRACT FROM AUTHOR]

In order to increase the visibility and contrast effect of air pollutants, and more visually demonstrate the impact of the meteorological characteristics on the air pollutants concentrations, this paper firstly conducts a periodical analysis of PM2.5 pollutant concentration in Ningbo. The data are obtained by the extracting the seasonal variations of PM2.5 pollutant concentration. Secondly, a reliability lest on Ningbo meteorological data and air pollution data is carried out. The results show that the confidence interval is over 90% . Thirdly, the paper analyzes the data concerning the wind power and direction in Ningbo, using Python language to conduct a polar coordinate transformation, and also an analyzes the visibility test on wind power and direction. Finally, by using Python language, a demonstration of the PM2.5, PM10, SO2, NO2, O3 and CO concentrations through the 3D coordinate system has been completed. After the four steps, we conclude that through reliability test, polar coordinative transformation, frequency comparison, by directly using the air and meteorological data, visibility contrast and correlation analysis could be positively completed. [ABSTRACT FROM AUTHOR]