Browsing by Author "Kaddouri, Meriem"
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Item Analysis on severe fever with thrombocytopenia syndrome bunyavirus infection combined with atrial fibrillation under digital model detection(Elsevier B.V., 2021) Tao, Lin; Yi, Yinping; Shan, Yu; Yu, Dan; Zhang, Jing; Qu, Yongsheng; Qin, Qingzhu; Pei, Yongju; Zhang, Hongmei; Chen, Xiongbiao; Kaddouri, Meriem; Omar, Khairi MohamedTo 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 AuthorsItem Risk factors for diagnosis of Escherichia coli infection after flexible ureteroscope holmium laser lithotripsy by imaging information technology under Nomogram mathematical model(Elsevier B.V., 2021-06) Zhang, Yuelong; Zhang, Qi; Lv, Jia; Zhang, Dahong; Kaddouri, Meriem; Al Dulaimi, Saeed Hameed KurdiThe evaluation value of Nomogram mathematical model was investigated for risk factors of Escherichia coli infection after flexible ureteroscope holmium laser lithotripsy (f-URL) under the diagnosis of imaging information technology. A total of 124 cases with upper urinary tract calculi (UUTC) were selected as the research objects, and they were rolled into an infection group (41 cases) and a control group (83 cases) according to whether Escherichia coli infection occurred after the surgery. The difference of surgical indicators between the two groups was compared, and the Nomogram mathematical prediction model was established based on Logistic regression risk factors. Besides, the predictive ability of the Nomogram mathematical model was analyzed with indicators such as the integrated discrimination improvement (IDI), the area under the curve (AUC), and GiViTI calibration curve band. The results found that age, diabetes, stone size, surgical time, and antibiotic use time were all risk factors for Escherichia coli infection after surgery. The AUC of the different risk factors of the Nomogram mathematical model was between 0.752 and 0.814, the sensitivity was 57.45%, the specificity was 97.96%, the C-index was 0.734 (95% confidence interval (CI): 0.631–0.837). Both the 80% and 95% CI regions of the Giviti calibration curve band did not cross the 45° diagonal bisector, and P = 0.518. Moreover, the Nomogram model showed an increase of 8.9% (95% CI: 0.061–1.1874 and P = 0.043) compared with the Logistic regression analysis model. Therefore, these results indicated that the Nomogram mathematical model can markedly improve the prediction ability of Escherichia coli infection risk after f-URL, which had great value in the assessment and early diagnosis and treatment of Escherichia coli infection after f-URL. © 2021 The Authors