Background and purpose:In order to look for the new biomarker with higher specificity and sensitivity, we investigated the relationship between expression of MGB-2 and chemotherapy response, and tried to find out whether MGB-2 may sever as a prognostic factor for the patients with ovarian carcinoma. Methods:The expression of MGB-2 was detected by flow-cytometry technology in ovarian carcinoma tissue. We analyzed the correlations among MGB-2 expression and clinical pathological factors, therapeutic effect and prognosis of the patients with ovarian carcinoma.Results:Positive detection of MGB-2 was 78%.(66/885). For the patients whose serum CA125 level did not drop to normal level after two courses of chemotherapy, the MGB-2 positive rate was significantly higher than in those whose serum CA125 level decreased markedly ( 85% vs. 62%, P=0.018). The positive rate was also higher in patients with recurrent disease than in those without recurrence (83% vs. 67%, P=0.097). In univariate survival analysis, the expression of MGB-2 was significantly associated with median survival time (P=0.021).Conclusions:MGB-2 expression is correlated with chemotherapy response and poor prognostic for the patients with ovarian carcinoma.

Objective To detect the serum level of vitamin D in infants with atopic dermatitis (AD),and to investigate the relationship between the serum level of vitamin D and severity of AD in infants.Methods Clinical data were collected from patients with moderate to severe AD (AD group)through a questionnaire survey in Children's Hospital of Shanxi from February to April in 2016,and the severity of AD was evaluated by the SCORing atopic dermatitis (SCORAD) score.A total of 95 health checkup examinees served as the control group.Enzyme-linked immunosorbent assay (ELISA)was performed to detect the serum level of 25 (OH) D3 in the AD group and control group,as well as the total serum IgE level in the AD group.Blood cell analyzer was used to determine the proportion of blood eosinophils in the AD group.Results A total of 97 patients with AD were enrolled into the study,including 43 (44.3 ％) patients with moderate AD and 54 (55.7％) patients with severe AD.The serum level of 25 (OH) D3 was significantly lower in the AD group than in the healthy control group ([66.71 ± 21.07] nmol/L vs.[85.43 ± 14.87] nmol/L,P ＜ 0.01),as well as in the patients with severe AD than in the patients with moderate AD ([47.54 ± 29.36] nmol/L vs.[63.89 ± 26.67] nmol/L,P =0.006).The proportion of blood eosinophils was significantly higher in the severe AD group than in the moderate AD group (0.124 ± 0.094 vs.0.061 ± 0.060,P ＜ 0.001).There was no significant difference in the total serum IgE level between the moderate AD group and severe AD group (P =0.375).Among the patients with AD,the serum level of 25 (OH) D3 was negatively correlated with the proportion of blood eosinophils (r =-0.336,P ＜ 0.05),but there was no correlation between the serum level of 25 (OH)D3 and total serum IgE level (r =-0.174,P ＞ 0.05).The serum level of 25 (OH)D3 was significantly associated with breastfeeding and vitamin D supplementation (P ＜ 0.05),but unrelated to age,gender,course of disease and acute exudative phase (all P ＞ 0.05).Conclusion The serum level of 25 (OH) D3 is evidently decreased in infants with AD,and vitamin D deficiency is closely related to the severity of AD in infancy.

Background/Aims: The purpose of this study was to develop a diagnostic model utilizing multimodal ultrasound parameters to aid in the detection of cervical lymph node metastasis in papillary thyroid cancer (PTC) patients. Methods: The study included 84 suspicious lymph nodes from 69 PTC patients, all of whom underwent fine needle aspiration with pathological results. Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher’s stepwise discriminant analysis. The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results: Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = -3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = -8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. If Y1 < Y2, the LN would be diagnosed as metastatic lymph nodes. The model demonstrated an area under the curve of 0.833, with a sensitivity of 83.33% and specificity of 83.33%. Conclusions The multimodal ultrasound diagnostic model, established through Fisher’s stepwise discriminant analysis, proved effective in identifying metastatic lymph nodes in PTC patients.

Background/Aims: The purpose of this study was to develop a diagnostic model utilizing multimodal ultrasound parameters to aid in the detection of cervical lymph node metastasis in papillary thyroid cancer (PTC) patients. Methods: The study included 84 suspicious lymph nodes from 69 PTC patients, all of whom underwent fine needle aspiration with pathological results. Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher’s stepwise discriminant analysis. The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results: Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = -3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = -8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. If Y1 < Y2, the LN would be diagnosed as metastatic lymph nodes. The model demonstrated an area under the curve of 0.833, with a sensitivity of 83.33% and specificity of 83.33%. Conclusions The multimodal ultrasound diagnostic model, established through Fisher’s stepwise discriminant analysis, proved effective in identifying metastatic lymph nodes in PTC patients.

Background/Aims: The purpose of this study was to develop a diagnostic model utilizing multimodal ultrasound parameters to aid in the detection of cervical lymph node metastasis in papillary thyroid cancer (PTC) patients. Methods: The study included 84 suspicious lymph nodes from 69 PTC patients, all of whom underwent fine needle aspiration with pathological results. Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher’s stepwise discriminant analysis. The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results: Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = -3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = -8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. If Y1 < Y2, the LN would be diagnosed as metastatic lymph nodes. The model demonstrated an area under the curve of 0.833, with a sensitivity of 83.33% and specificity of 83.33%. Conclusions The multimodal ultrasound diagnostic model, established through Fisher’s stepwise discriminant analysis, proved effective in identifying metastatic lymph nodes in PTC patients.

Objective:To explore the development trend of the combination of medical treatment and endowment and nursing by analyzing the keywords related to the combination of medical treatment and endowment and nursing in China from 2005 to 2017.Methods:Relevant articles about the combination of medical treatment and endowment which were published up to April 22, 2018 were retrieved from Wanfang, CNKI and VIP databases, and descriptive statistical methods were used to analyze the publication sources, number of keywords, word frequency, value of popularity, word meaning, etc.Results:Totally 5 704 articles were identified, and 1 655 were left after screening. The research on nursing started late among all researches on the combination of Chinese medical treatment and endowment, and there were few literatures, which had not received widespread attention from nursing journals. The proportion of Chinese nursing-related research in the combination of medical treatment and endowment was low. The keyword most concerned about was "senior caregivers". There was a lacking of technical and professional nursing research as well as specific discussions related to home care for the elderly.Conclusions:We should promote multi-angle and multi-level systematic nursing research, strengthen professional research in the combination of medical treatment and endowment and home care for the elderly, and provide technical support and practical basis for improving China's knowledge system of "the combination of medical treatment and endowment", and achieving a win-win situation for healthcare providers, caregivers, nurses and patients.

Frailty and trauma are closely related, and together affect the health outcomes of elderly trauma patients. However, insufficient attention has been paid to the frailty of elderly trauma patients in China. This paper reviews the relationship between frailty and trauma, assessment tools and management of frailty in elderly trauma patients, in order to provide a new perspective of nursing care for elderly trauma patients in China and to provide references for carrying out research on frailty in elderly trauma patients.

Background/Aims: The purpose of this study was to develop a diagnostic model utilizing multimodal ultrasound parameters to aid in the detection of cervical lymph node metastasis in papillary thyroid cancer (PTC) patients. Methods: The study included 84 suspicious lymph nodes from 69 PTC patients, all of whom underwent fine needle aspiration with pathological results. Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher’s stepwise discriminant analysis. The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results: Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = -3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = -8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. If Y1 < Y2, the LN would be diagnosed as metastatic lymph nodes. The model demonstrated an area under the curve of 0.833, with a sensitivity of 83.33% and specificity of 83.33%. Conclusions The multimodal ultrasound diagnostic model, established through Fisher’s stepwise discriminant analysis, proved effective in identifying metastatic lymph nodes in PTC patients.

Background/Aims: The purpose of this study was to develop a diagnostic model utilizing multimodal ultrasound parameters to aid in the detection of cervical lymph node metastasis in papillary thyroid cancer (PTC) patients. Methods: The study included 84 suspicious lymph nodes from 69 PTC patients, all of whom underwent fine needle aspiration with pathological results. Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher’s stepwise discriminant analysis. The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results: Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = -3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = -8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. If Y1 < Y2, the LN would be diagnosed as metastatic lymph nodes. The model demonstrated an area under the curve of 0.833, with a sensitivity of 83.33% and specificity of 83.33%. Conclusions The multimodal ultrasound diagnostic model, established through Fisher’s stepwise discriminant analysis, proved effective in identifying metastatic lymph nodes in PTC patients.

Objective: To observe the differences in specific IgE of allergic diseases. Methods: The allergens in 1 028 patients (including 606 cases of eczema/specific dermatitis, 319 Cases of urticaria, 103 cases of papular urticaria and prurigo) were detected by German Allergy Screen Immune mark method. Results: There were statistically significant differences (P<0.05) in the positive rate of allergens among the four allergic diseases, including Penicillium notatum/ Piptocephalis/ aspergillus fumigatus/aspergillus niger/Alternaria (χ²=6.663), milk (χ²=10.320) and cashew nut (χ²=14.325); The common allergen in <1-year-old group was cat dander (22.75%), egg white (35.93%); The common allergen in 1 to 3 years old group was dog dander (22.17%), milk (61.82%) and crab (3.45%). The common allergen in>3-year-old group was dust mite (10.77%), cockroach (3.52%), Penicillium notatum/Piptocephalis/ aspergillus fumigatus/aspergillus niger/Alternaria (21.32%), Short ragweed/artemisia/Humulus scandens/quinoa (14.73%). The positive rate of specific IgE against house dust in the third quarter was the highest (17.78%) and the difference was statistically significant (χ²=14.443, P=0.002). Among the statistically significant difference in the positive rate of specific IgE between eczema/atopic dermatitis in different age groups (χ²=10.204, P=0.006), the positive rate in the group of 1 to 3 years was the highest. Conclusions Different diseases, ages, and seasonal specific allergens are different, individualized treatment can be carried out according to disease types, ages and seasons.