1.Bibliometric analysis of application of Q method in nursing research based on Web of Science
Wenjia LONG ; Jun ZHONG ; Biying XIA ; Yanting ZHANG ; Jingyi WANG
Chinese Journal of Modern Nursing 2022;28(22):2993-3000
Objective:To explore the application situation and hotspots of the Q method in the field of nursing research and provide a reference for the nursing workers in China to learn and apply the Q method.Methods:Literature retrieval was conducted based on Web of Science, and statistical analysis was conducted on the number of articles published, countries, journals, institutions, authors, highly cited papers, research directions and high-frequency co-occurrence words by using the analysis function of Web of Science and visual imaging of VOSviewer.Results:A total of 686 authors from 25 countries and 23 institutions published 326 papers in 157 journals applying the Q method in nursing research, showing an overall increasing trend. South Korea (12.27%) , the United States (7.98%) , the United Kingdom (7.06%) ranked the highest number of articles published, and China ranked the sixth (3.68%) The number of citations per article was the highest in the United Kingdom (33.78 times) , followed by Canada (19.67 times) . Psychology and health care were the most interdisciplinary subjects. The research hotspots expanded from methodological discussions to nursing education, clinical practice, psychological nursing and health promotion.Conclusions:Q method is still in its infancy in the field of nursing in China and has not been widely promoted and practiced. China's publication volume and influence are relatively weak. In the future, international exchanges and cooperation should be expanded and academic frontiers and research hotspots should be grasped to improve the level and quality of research.
2.Epidemiological characteristics of asymptomatic infection cases of COVID-19 in Guangdong province
Shilan XIE ; Jianhua HUANG ; Jun LIU ; Jun LIU ; Qisui LONG ; Xin XIE ; Yuhuang LIAO ; Lingling TANG ; Wenjia LIANG ; Haojie ZHONG ; Yan LI
Chinese Journal of Epidemiology 2020;41(9):1406-1410
Objective:To analyze the epidemiological characteristics of the cases firstly reported as "asymptomatic infection of COVID-19" in Guangdong province.Methods:The follow-up observation method was used to continuously track and observe the cases firstly reported as "asymptomatic patients with COVID-19" in Guangdong province from January 14 to March 31, 2020. The epidemiological data of the cases were collected to analyze their epidemiological characteristics, outcome and influencing factors.Results:From January 14 to March 31, 2020, a total of 325 cases were firstly reported as "asymptomatic infections of COVID-19" in Guangdong province. The epidemic curve of asymptomatic infection cases was similar to that of confirmed cases, and it had two peaks. The first peak was from January 27 to February 5, and the second peak was from March 17 to March 26. Of the 325 cases, 184 (56.6%) were subsequently converted to confirmed cases. These cases were defined as incubation period asymptomatic infection cases. The age median of the cases was 40 years, and 93.5% (172/184) of the cases showed symptoms within 3 days after the first positive nucleic acid tests were conducted, and 141 (43.4%) of the 325 cases remained asymptomatic status until they were cured and discharged. They were inapparent infection cases, accounting for 8.6% (141/1 642) of those diagnosed with COVID-19 in Guangdong province during the same period. The age median of inapparent infection cases was 27 years. The median of the interval between the first positive nucleic acid test and discharge was 14 days. Up to 90.8% (138/141) of the inapparent infection cases were discharged for centralized medical observation within 28 days. The longest interval between the first positive nucleic acid test and the last positive nucleic acid test was 73 days. The positive rate of nucleic acid test was 0.3% in close contacts of inapparent infection cases and 2.2% in close contacts of incubation period asymptomatic infection cases. There were significant differences in age distribution and source of infection between incubation period asymptomatic infection cases and inapparent infection cases ( P<0.05). Old age was the risk factor for the conversion of firstly reported asymptomatic infection cases to confirmed cases. Compared with the 0-19-year-old group, The patients aged 40-59 years and 60 years and above were more likely to become confirmed cases. The OR (95 %CI) values were 2.730 (1.380-5.402) and 5.302 (2.199-12.783), and P values were 0.004 and 0.000, respectively. People being infected in China were more likely to become confirmed cases ( OR=7.121, P=0.000). Conclusions:There were asymptomatic infection cases among patients diagnosed with COVID-19. The infectiousness of incubation period asymptomatic infection cases might be stronger than that of inapparent infection cases. The proportion of younger cases among asymptomatic infection cases was higher than that of the confirmed cases. Old age and domestic infection were the risk factors for the conversion of asymptomatic infection cases to confirmed cases, to which more attention should be paid. Further serological investigations are needed to provide a basis for the development of COVID-19 prevention and control strategies.
3.Review of studies on the application of biomechanical factors in the evaluation of glaucoma.
Hongfang SONG ; Qi LI ; Ningli WANG ; Wenjia WANG ; Xiaoxue LONG ; Zhicheng LIU
Journal of Biomedical Engineering 2019;36(2):315-319
There are so many biomechanical risk factors related with glaucoma and their relationship is much complex. This paper reviewed the state-of-the-art research works on glaucoma related mechanical effects. With regards to the development perspectives of studies on glaucoma biomechanics, a completely novel biomechanical evaluation factor -- Fractional Flow Reserve (FPR) for glaucoma was proposed, and developing clinical application oriented glaucoma risk assessment algorithm and application system by using the new techniques such as artificial intelligence and machine learning were suggested.
Algorithms
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Artificial Intelligence
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Biomechanical Phenomena
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Glaucoma
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diagnosis
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Humans
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Intraocular Pressure
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Machine Learning
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Risk Assessment
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Risk Factors
4.Applying the Electrical Impedance Tomography to Assess Lung Regional Ventilation Distribution in ICU Patients After Cardiac Surgery and Exploring Its Preliminary Values
Wenjia LIU ; Runshi ZHOU ; Zunzhu LI ; Longxiang SU ; Wenbo CUI ; Yun LONG ; Huaiwu HE
Medical Journal of Peking Union Medical College Hospital 2024;15(3):573-579
To apply electrical impedance tomography (EIT) technology to assess the lung regional ventilation distribution in patients admitted to the intensive care unit (ICU) after a cardiac surgery, and to analyze its value of predicting patients' short-term prognosis. Data from 46 patients admitted to ICU after a cardiac surgery from January to November 2023 were retrospectively collected. Using EIT, we assessed the lung regional ventilation of four regions of interest (ROI) and analyzed its influence on patients' length of stay in ICU, mechanical ventilation duration and tracheal intubation duration. A total of 46 patients were selected, including 29 males and 17 females, with an average age of (58.2±9.5) years.The patients who received a cardiac surgery equal to or over 5 hours had worse ventilation in the dorsal region (ROI 4) ( The length of a cardiac surgery influences patients' lung ventilation, which further impacts patients' prognosis. EIT can be used as a bedside tool to assess patients' lung ventilation and inform corresponding clinical interventions to improve patients' prognosis.