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Objective To establish a sensitive quality index system for blood purification nursing, providing reference for the evaluation and monitoring of nursing safety quality in the blood purification room, and providing quality control targets and basis for nursing managers. Methods Set up a research team to analyze the patient data, nursing bad events, draw on the data of the National Nursing Quality Control Center and other research results of nursing experts at home and abroad. The research team conducted analysis and discussion, expert meeting consultation(discussed by professional nursing experts in Beijing and Inner Mongolia), expert letters, screening and final determination of nursing sensitive quality indicators. Results Finally, a set of 13 sensitive quality indicators for specialized care for blood purification was constructed, including 3 structural indicators, 10 outcome indicators and 100 % effective recovery rates for the two rounds of expert questionnaires. The indicators for consultation are 0.12-0 .17 and 0.10-0 .14, respectively, and the expert authoritative coefficients are 0.786 and 0.807, respectively, which are statistically significant (P<0.01). Conclusion The system of sensitive quality index of blood purification nursing is in conformity with the principles of science, reliability and practicality, and can be used as a tool for evaluating the quality of blood purification room nursing safety.
ABSTRACT
Objective@#To establish a sensitive quality index system for blood purification nursing, providing reference for the evaluation and monitoring of nursing safety quality in the blood purification room, and providing quality control targets and basis for nursing managers.@*Methods@#Set up a research team to analyze the patient data, nursing bad events, draw on the data of the National Nursing Quality Control Center and other research results of nursing experts at home and abroad. The research team conducted analysis and discussion, expert meeting consultation(discussed by professional nursing experts in Beijing and Inner Mongolia), expert letters, screening and final determination of nursing sensitive quality indicators.@*Results@#Finally, a set of 13 sensitive quality indicators for specialized care for blood purification was constructed, including 3 structural indicators, 10 outcome indicators and 100% effective recovery rates for the two rounds of expert questionnaires. The indicators for consultation are 0.12-0.17 and 0.10-0.14, respectively, and the expert authoritative coefficients are 0.786 and 0.807, respectively, which are statistically significant (P< 0.01).@*Conclusion@#The system of sensitive quality index of blood purification nursing is in conformity with the principles of science, reliability and practicality, and can be used as a tool for evaluating the quality of blood purification room nursing safety.
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<p><b>OBJECTIVE</b>To assess clinical and pathological features of ovarian transitional cell tumors.</p><p><b>METHODS</b>Fourteen cases of ovarian transitional cell carcinoma (TCC) were selected and investigated for their clinical and pathological features. Their immunohistochemical profiles were compared with 12 cases of serous adenocarcinoma (SC) admixed with TCC and 4 cases of EC admixed with TCC 20 cases of pure high-grade serous adenocarcinoma (HG-SC), 15 cases of endometrioid adenocarcinoma (EC), 6 cases of Brenner tumor (BT, 2 cases of malignant BT and 4 cases of benign BT).</p><p><b>RESULTS</b>The patients' age ranged from 36-63 years (mean, 56 years). All cases underwent surgery and postoperative chemotherapy with TP or CAP program. Clinical follow-up was available in 9 cases, of which 2 patients died. Histologically, all cases showed features of transitional cell carcinoma without BT component. Immunohistochemically, 13 of 14 TCCs were positive for WT-1 and all were positive for CK7, ER, PR and CA125, but negative for Uroplakin III and CK20.Similar immunohistochemical staining patterns were seen in SC admixed with TCC and pure HG-SC. Percentage of the 14 TCC cases were also diffusely positive for BRCA1. All SCs admixed with TCC and pure HG-SCs were diffusely or heterogeneously positive for WT-1, with a sharp contrast and mottled distribution pattern in the heterogeneous cases. All TCCs were diffusely and strongly positive for p53, while 16 of 20 cases of pure HG-SC were positive. The positive ratio of p53 in SCs admixed with TCC cases was 11/12.WT-1 expression in TCCs was significantly higher than BTs, ECs and ECs admixed with TCC (P < 0.01), while no obvious difference was seen when compared with SCs admixed with TCC and pure HG-SCs.SCs admixed with TCC, TCCs and EC were positive for BRCA1 except pure ECs and BTs. The positive rate of Ki-67 of BTs was low, while it was higher in TCCs, SCs admixed with TCC and pure HG-SCs. Only BTs expressed Uroplakin III.</p><p><b>CONCLUSIONS</b>Ovarian TCC has characteristic morphological and immunohistochemical features, similar to SC but different from BT. Therefore, TCC should be considered as a morphological variant of HG-SC.</p>
Subject(s)
Adult , Female , Humans , Middle Aged , Brenner Tumor , Metabolism , Pathology , CA-125 Antigen , Metabolism , Carcinoma, Endometrioid , Pathology , Carcinoma, Transitional Cell , Pathology , Cystadenocarcinoma, Serous , Pathology , Neoplasm Proteins , Metabolism , Neoplasms, Glandular and Epithelial , Pathology , Ovarian Neoplasms , Metabolism , Pathology , Uroplakin III , MetabolismABSTRACT
In order to choose a fast and efficient real-time method in beta wave information extraction, we compared the result and the efficiency of the information separation of both fast Fourier transform (FFT) and wavelet transform of EEG beta band in the present paper. Our work provides the basis for the EEG data come from the real-time health assessment of 3DTV. We took the EEGs of 5 healthy volunteers before, after and during the process of watching 3DTV and meanwhile recorded the results. The trends of the relative energy and the time cost of two methods were compared by using both the FFT and wavelet packet transform (WPT) which was to extract the feature of EEG beta wave. It demonstrated that (1) Results of the two methods were consistent in the trends of watching 3DTV; (2) Results of the differences in two methods were consistent before and after watching 3DTV; (3) FFT took less time than the wavelet transform in the same case. It is concluded that the results of both FFT and Wavelet transform are consistent in feature extraction of EEG, and a fast method to work with the large quantities of EEG data obtained in the experiments can be offered in the future.