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

dc.contributor.authorTao, Lin
dc.contributor.authorYi, Yinping
dc.contributor.authorShan, Yu
dc.contributor.authorYu, Dan
dc.contributor.authorZhang, Jing
dc.contributor.authorQu, Yongsheng
dc.contributor.authorQin, Qingzhu
dc.contributor.authorPei, Yongju
dc.contributor.authorZhang, Hongmei
dc.contributor.authorChen, Xiongbiao
dc.contributor.authorKaddouri, Meriem
dc.contributor.authorOmar, Khairi Mohamed
dc.date.accessioned2021-07-13T15:08:08Z
dc.date.available2021-07-13T15:08:08Z
dc.date.copyright© 2021
dc.date.issued2021
dc.descriptionThis 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.2021.104413en_US
dc.description.abstractTo 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 Authorsen_US
dc.description.sponsorshipMedical science and technology research plan of Henan Province / SBGJ2018065en_US
dc.identifier.citationTao, 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.2021.104413en_US
dc.identifier.issn22113797
dc.identifier.urihttps://doi.org/10.1016/j.rinp.2021.104413
dc.identifier.urihttp://hdl.handle.net/20.500.12519/405
dc.language.isoenen_US
dc.publisherElsevier B.V.en_US
dc.relationAuthors 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.ispartofseriesResults in Physics;Volume 26, July 2021
dc.rightsCreative Commons CC-BY-NC-ND License
dc.rights.holderCopyright : © 2021 The Authors
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectAtrial fibrillationen_US
dc.subjectDigital modelen_US
dc.subjectEchocardiographyen_US
dc.subjectSenile HCMen_US
dc.subjectSFTSV infectionen_US
dc.titleAnalysis on severe fever with thrombocytopenia syndrome bunyavirus infection combined with atrial fibrillation under digital model detectionen_US
dc.typeArticleen_US
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