Analysis on severe fever with thrombocytopenia syndrome bunyavirus infection combined with atrial fibrillation under digital model detection

dc.contributor.author Tao, Lin
dc.contributor.author Yi, Yinping
dc.contributor.author Shan, Yu
dc.contributor.author Yu, Dan
dc.contributor.author Zhang, Jing
dc.contributor.author Qu, Yongsheng
dc.contributor.author Qin, Qingzhu
dc.contributor.author Pei, Yongju
dc.contributor.author Zhang, Hongmei
dc.contributor.author Chen, Xiongbiao
dc.contributor.author Kaddouri, Meriem
dc.contributor.author Omar, Khairi Mohamed
dc.date.accessioned 2021-07-13T15:08:08Z
dc.date.available 2021-07-13T15:08:08Z
dc.date.copyright © 2021
dc.date.issued 2021
dc.description This article is not available at CUD collection. The version of scholarly record of this article is published in Results in Physics (2021), available online at: https://doi.org/10.1016/j.rinp.2021.104413 en_US
dc.description.abstract To heighten the diagnostic efficiency, in this study, the algebraic reconstruction technology (ART)-based echocardiography (ECG) was used to analyze severe fever with thrombocytopenia syndrome bunyavirus (SFTSV) complicated by atrial fibrillation. From Jan. 2015 to Dec. 2019, 200 elderly patients with SFTSV infection and hypertrophic cardiomyopathy (HCM) admitted to our hospital were selected as the observation group, and 20 healthy volunteers were in the control group. Then 200 patients were randomly divided into two groups with 100 people in each group. One group received routine clinical observation after surgery, and the other group received artificial intelligence atrial fibrillation monitoring. ECG displayed the left ventricular ejection fraction (LVEF), left ventricular mass index (LVMI), left ventricular end diastolic volume index (EDVI), and end systolic volume index (ESVI) of patients. The accuracy and satisfaction of different methods in observation were recorded. The risk factors of postoperative atrial fibrillation in elderly patients with HCM were evaluated, and changes in their white blood cell levels were detected. The results showed that, there was a significant difference in ECG between normal people and patients after surgery. Also, differences were noted in accuracy and satisfaction of the two methods in observation group (P < 0.05). The atrial fibrillation group and the non-atrial fibrillation group showed notable differences in smoking history and age (P < 0.05); the white blood cell content of the atrial fibrillation group was 8.64 × 109, and that in non-atrial fibrillation group was 3.25 × 109. The content of ST-2 in postoperative atrial fibrillation group was 21.3 g/mL, and the content of Gal-3 was 9.57 g/mL, while the content of ST-2 in non-atrial fibrillation group was 17.24 g/mL, and the content of Gal-3 was 5.21 g/mL. There was no significant difference in LVEF, LVMI, EDVI, ESVI between postoperative atrial fibrillation and the non-atrial fibrillation group. In summary, ECG can effectively detect HCM, and the digital model demonstrated superb capabilities in monitoring atrial fibrillation after cardiac sympathetic block. The atrial fibrillation group showed a higher level of white blood cells after surgery and was more likely to develop SFTSV infection. Measures should be taken to prevent infection. © 2021 The Authors en_US
dc.description.sponsorship Medical science and technology research plan of Henan Province / SBGJ2018065 en_US
dc.identifier.citation Tao, L., Yi, Y., Shan, Y., Yu, D., Zhang, J., Qu, Y., Qin, Q., Pei, Y., Zhang, H., Chen, X., Kaddouri, M. & Omar, K.M. (2021). Analysis on severe fever with thrombocytopenia syndrome bunyavirus infection combined with atrial fibrillation under digital model detection. Results in Physics, 26. https://doi.org/10.1016/j.rinp.2021.104413 en_US
dc.identifier.issn 22113797
dc.identifier.uri https://doi.org/10.1016/j.rinp.2021.104413
dc.identifier.uri http://hdl.handle.net/20.500.12519/405
dc.language.iso en en_US
dc.publisher Elsevier B.V. en_US
dc.relation Authors Affiliations : Tao, L., Cardiac Intensive Care Unit, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Henan University People's Hospital, Zhengzhou, Henan 450003, China; Yi, Y., Cardiac Intensive Care Unit, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Henan University People's Hospital, Zhengzhou, Henan 450003, China; Shan, Y., Cardiac Intensive Care Unit, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Henan University People's Hospital, Zhengzhou, Henan 450003, China; Yu, D., Cardiac Intensive Care Unit, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Henan University People's Hospital, Zhengzhou, Henan 450003, China; Zhang, J., Cardiac Intensive Care Unit, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Henan University People's Hospital, Zhengzhou, Henan 450003, China; Qu, Y., Cardiac Intensive Care Unit, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Henan University People's Hospital, Zhengzhou, Henan 450003, China; Qin, Q., Department of Cardiac, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Henan University People's Hospital ZhengzhouHenan 450003, China; Pei, Y., Respiratory Intensive Care Unit, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Henan University People's Hospital ZhengzhouHenan 450003, China; Zhang, H., Department of Nursing, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Henan University People's Hospital ZhengzhouHenan 450003, China; Chen, X., Department II of Cardiology, Peking Medical University Shenzhen Hospital, Shenzhen, Guangdong Province 518000, China; Kaddouri, M., Faculty of Communication, Arts and Sciences, Canadian University Dubai, Dubai, United Arab Emirates; Omar, K.M., Applied Science University, Al Eker, Bahrain
dc.relation.ispartofseries Results in Physics;Volume 26, July 2021
dc.rights Creative Commons CC-BY-NC-ND License
dc.rights.holder Copyright : © 2021 The Authors
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Atrial fibrillation en_US
dc.subject Digital model en_US
dc.subject Echocardiography en_US
dc.subject Senile HCM en_US
dc.subject SFTSV infection en_US
dc.title Analysis on severe fever with thrombocytopenia syndrome bunyavirus infection combined with atrial fibrillation under digital model detection en_US
dc.type Article en_US
Files
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2.01 KB
Format:
Item-specific license agreed upon to submission
Description: