Objective To investigate the expression and significance of cellular inhibitor of protein phosphatase 2A (CIP2A), bcl-2 and p63 in papillary thyroid cancer (PTC). Methods Using immunohistochemistry to detect the expression of CIP2A, bcl-2 and p63 in 30 cases of nodular goiter (NG), 30 cases of thyroid adenoma (TA) and 57 cases of PTC [including classical PTC (cPTC) 20 cases, papillary microcarcinoma (PMC) 20 cases, follicular thyroid papillary carcinoma (FPTC) 7 cases]. Results In NG group, TA group and PTC group, positive rates of CIP2A were 0, 0 and 94.74 % (54/57), respectively. The differences were statistically significant. In NG group, TA group and PTC group, positive rates of bcl-2 were 16.67 % (5/30), 13.33 % (4/30) and 85.96 % (49/57), respectively. The differences were statistically significant. In each group, positive rates of p63 were 6.67% (2/30), 3.33% (1/30) and 5.26% (3/57), respectively, no significant difference among them. In PTC, expression of CIP2A and bcl-2 were significantly higher than in NG and TA (χ2 = 105.56, P= 0.00; χ2 = 58.95, P= 0.00). Furthermore, the expression of CIP2A and bcl-2 had correlation in PTC (r=0.94, P=0.00). The expression of CIP2A, bcl-2 and p63 had no significantly difference among all the PTC subtype (χ2 values were 2.02, 2.64, 1.85; all P> 0.05). The expression of CIP2A, bcl-2 and p63 was not associated with patients'age, sex, site, lymph node metastasis (all P>0.05). Conclusions High expression of CIP2A and bcl-2 is associated with PTC, and the expression of CIP2A and bcl-2 has correlation in PTC. The expression of p63 has no correlation with PTC.

It is very important to extract electroencephalogram (EEG) rhythm in clinical diagnoses. Digital filter and wavelet transform are used to extract the rhythm from a piece of EEG at the sampling rate of 2 kHz. The Daubechies order 4 wavelet (db4) was used to decompose the EEG at 8 levels. According to the filter characteristic of wavelet decomposition, the reconstructions of aS, d8, d7, d6 and d5 component are nearly corresponding to the rhythms of delta, theta, alpha, gamma separately. The 6 order ellipse infinite impulse response (IIR) filter is also used to decompose the EEG. As the quality factor of wavelet decomposition filter is constant, the wavelet transform obtains better extracted rhythm than the digital filter. Furthermore, the wavelet transform method can be used to extract the low frequency rhythm from wide frequency band.
Algorithms ; Artifacts ; Brain ; physiology ; Electroencephalography ; methods ; Humans ; Signal Processing, Computer-Assisted

Objective To construct the syndrome differentiation nursing plan for end-of-life patients with digestive symptoms so as to provide an objective evidence for the standardizing and popularizing the traditional Chinese medicine (TCM) nursing operation in end-of-life patients. Methods The initial syndrome differentiation nursing recommendations for end-of-life patients with digestive symptoms were constructed based on literature review combined with digestive symptoms characteristics of end-of-life patients including the digestive syndromes end-of-life patients, TCM nursing operation, operation method and considerations. The method of Delphi expert consultation was used to two rounds of consultation by 16 experts and to calculate the expert positive coefficients and expert authority coefficient (Cr); item importance was analyzed with the mean, variation coefficient (CV) and Kendall's concordance coefficient (Kendall's W) to finally determine the syndrome differentiation nursing plan for end-of-life patients with digestive symptoms. Results Around two rounds of expert consultation, there were 16 valid questionnaires respectively. The expert positive coefficients and Cr were 100％ and 0.89 respectively. Variation coefficients of all indexes ranged from 0.05 to 0.27,which were <0.03; the Kendall's W ranged from 0.13 to 0.43 (P<0.01). Conclusions The syndrome differentiation nursing plan for end-of-life patients with digestive symptoms based on literature review and Delphi method standardizes the application of TCM nursing operation in end-of-life patients which has practical value on improving the quality of life of end-of-life patients and availability of medical resources.

Objective:To explore the effect of out-of-hospital nursing based on gratitude extension-construction theory on self-management efficacy of young and middle-aged patients undergoing percutaneous coronary intervention (PCI) .Methods:A total of 136 young and middle-aged patients who underwent PCI in Coronary Heart Disease Ward of Department of Cardiology in Henan Provincial People's Hospital were selected as the research objects by the convenient sampling method. The patients were randomly divided into the control group and the observation group by the envelop method, with 68 patients in each group. The control group received routine out-of-hospital nursing, while the observation group received out-of-hospital nursing based on gratitude extension-construction theory. Self-management efficacy was compared before and after intervention between the two groups.Results:After intervention, the scores for self psychological management, self-management confidence, self-management behavior, self-management cognition and self-management information in the observation group were higher than those in the control group, and the differences were statistically significant ( P<0.01) . Conclusions:Out-of-hospital nursing based on gratitude extension-construction theory can significantly improve self-management efficacy of young and middle-aged patients undergoing PCI.