4 results on '"Yang, Ling"'
Search Results
2. Some characteristics of clinical sequelae of COVID‐19 survivors from Wuhan, China: A multi‐center longitudinal study.
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Chen, Xian, Li, Ying, Shao, Tong‐Ren, Yang, Ling‐Li, Li, Si‐Jing, Wang, Xiu‐Juan, Li, Ao, Wu, Yin‐Yu, Liu, Xue‐Fei, Liu, Chun‐Mei, Liu, Yu‐Hui, Zeng, Fan, and Cen, Yuan
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COVID-19 , *COVID-19 pandemic , *LOGISTIC regression analysis , *DISEASE complications , *LONGITUDINAL method - Abstract
Background: The pandemic of COVID‐19 has a persistent impact on global health, yet its sequelae need to be addressed at a wide scale around the globe. This study aims to investigate the characteristics, prevalence, and risk factors for mid‐term (>6 months) clinical sequelae in a cohort of COVID‐19 survivors. Methods: Totally 715 COVID‐19 survivors discharged before April 1, 2020, from three medical centers in Wuhan, China, were included. The longitudinal study was conducted by telephone interviews based on a questionnaire including the clinical sequelae of general, respiratory, and cardiovascular systems. Demographics and some characteristics of clinical sequelae of the survivors were recorded and analyzed. Multivariate logistic regression analysis was applied to explore the risk factors for the sequelae. Results: The median time interval from discharge to telephone interview was 225.0 days. The COVID‐19 survivors' median ages were 69 years, and 51.3% were male. Among them, 29.9% had at least one clinical sequela. There were 19.2%, 22.7%, and 5.0% of the survivors reporting fatigue, respiratory symptoms, and cardiovascular symptoms, respectively. Comorbidities, disease severity, the application of mechanical ventilation and high‐flow oxygen therapy, and the history of re‐admission were associated with the presence of clinical sequelae. Conclusions: Our study provides further evidence for the prevalence and characteristics of clinical sequelae of COVID‐19 survivors, suggesting long‐term monitoring and management is needed for their full recovery. [ABSTRACT FROM AUTHOR]
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- 2022
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3. Post-infection cognitive impairments in a cohort of elderly patients with COVID-19.
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Liu, Yu-Hui, Wang, Ye-Ran, Wang, Qing-Hua, Chen, Yang, Chen, Xian, Li, Ying, Cen, Yuan, Xu, Cheng, Hu, Tian, Liu, Xu-Dong, Yang, Ling-Li, Li, Si-Jing, Liu, Xue-Fei, Liu, Chun-Mei, Zhu, Jie, Li, Wei, Zhang, Li-Li, Liu, Juan, and Wang, Yan-Jiang
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COVID-19 , *COGNITION disorders , *OLDER patients , *MILD cognitive impairment , *SARS-CoV-2 , *COGNITIVE ability - Abstract
Background: Understanding the long-term effects of coronavirus disease 2019 (COVID-19) on cognitive function is essential for monitoring the cognitive decline in the elderly population. This study aims to assess the current cognitive status and the longitudinal cognitive decline in elderly patients recovered from COVID-19. Methods: This cross-sectional study recruited 1539 COVID-19 inpatients aged over 60 years who were discharged from three COVID-19-designated hospitals in Wuhan, China, from February 10 to April 10, 2020. In total, 466 uninfected spouses of COVID-19 patients were selected as controls. The current cognitive status was assessed using a Chinese version of the Telephone Interview of Cognitive Status-40 (TICS-40) and the longitudinal cognitive decline was assessed using an Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE). Cognitive assessments were performed 6 months after patient discharge. Results: Compared with controls, COVID-19 patients had lower TICS-40 scores and higher IQCODE scores [TICS-40 median (IQR): 29 (25 to 32) vs. 30 (26 to 33), p < 0.001; IQCODE median (IQR): 3.19 (3.00 to 3.63) vs. 3.06 (3.00 to 3.38), p < 0.001]. Severe COVID-19 patients had lower TICS-40 scores and higher IQCODE scores than non-severe COVID-19 patients [TICS-40 median (IQR): 24 (18 to 28) vs. 30 (26 to 33), p < 0.001; IQCODE median (IQR): 3.63 (3.13 to 4.31) vs. 3.13 (3.00 to 3.56), p < 0.001] and controls [TICS-40 median (IQR): 24 (18 to 28) vs. 30 (26 to 33), p < 0.001; IQCODE median (IQR) 3.63 (3.13 to 4.31) vs. 3.06 (3.00 to 3.38), p < 0.001]. Severe COVID-19 patients had a higher proportion of cases with current cognitive impairment and longitudinal cognitive decline than non-severe COVID-19 patients [dementia: 25 (10.50 %) vs. 9 (0.69 %), p < 0.001; Mild cognitive impairment (MCI): 60 (25.21 %) vs. 63 (4.84 %), p < 0.001] and controls [dementia: 25 (10.50 %) vs. 0 (0 %), p < 0.001; MCI: 60 (25.21 %) vs. 20 (4.29 %), p < 0.001)]. COVID-19 severity, delirium and COPD were risk factors of current cognitive impairment. Low education level, severe COVID-19, delirium, hypertension and COPD were risk factors of longitudinal cognitive decline. Conclusions: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is associated with an increased risk of long-term cognitive decline in elderly population. COVID-19 patients, especially severe patients, should be intensively monitored for post-infection cognitive decline. [ABSTRACT FROM AUTHOR]
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- 2021
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4. The impact of individual lifestyle and status on the acquisition of COVID-19: A case—Control study.
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Gao, Chang, Zhao, Zhi, Li, Fengyuan, Liu, Jia-lin, Xu, Hongyang, Zeng, Yuanying, Yang, Ling, Chen, Jiahao, Lu, Xiaoting, Wang, Can, and Guo, Qiang
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COVID-19 , *HEALTH behavior , *SARS-CoV-2 , *ODDS ratio , *PHYSICAL activity - Abstract
Background: Coronavirus disease 2019 (COVID-19) has spread to the world. Whether there is an association between lifestyle behaviors and the acquisition of COVID-19 remains unclear. Methods: In this case-control study, we recruited 105 patients with SARS-CoV-2 infection as a case group from the Wuhan Tongji Hospital (Wuhan, China). For each case two control subjects were recruited. Participants were randomly selected from communities in Wuhan and matched for sex, age (± 2yrs), and pre-existing comorbidities (hypertension and diabetes). Results: A total of 105 patients diagnosed with COVID-19 and 210 controls were included. Compared with control group, the case group had higher proportions of lack of sleep (30.5% vs. 14.8%, P = 0.001) and increased physical activities (56.2% vs. 32.9%, P < 0.001). And patients in the case group were more likely to have alopecia (28.6% vs. 10.0%, P < 0.001) than people from the control group. Overall, we found that lack of sleep [adjusted odds ratio (OR) 1.56, 95% confidence interval (CI) 1.03–2.39)], physical activities (≥ 5 times a week) (adjusted OR 2.05, 95%CI 1.39–3.02) and alopecia (adjusted OR 1.73, 95%CI 1.13–2.66) were independent risk factors for COVID-19 infection. Conversely, low-dose alcohol intake (<100g alcohol per week), hand hygiene, and fruits intake (daily) were significantly associated with a decrease in morbidity. Conclusions: Individual lifestyle behaviors and health status can affect the occurrence of COVID-19. [ABSTRACT FROM AUTHOR]
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- 2020
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