scholarly journals Temporal changes of CT findings between non-severe and severe cases of COVID-19 pneumonia: a multi-center, retrospective, longitudinal Study

2020 ◽  
Vol 17 (17) ◽  
pp. 2653-2662 ◽  
Author(s):  
Meng Dai ◽  
Xiaoming Liu ◽  
Xiqi Zhu ◽  
Tiejun Liu ◽  
Cihao Xu ◽  
...  
Keyword(s):  
Longitudinal Study ◽  
Temporal Changes ◽  
Ct Findings

scholarly journals Temporal Changes of CT Findings in 90 Patients with COVID-19 Pneumonia: A Longitudinal Study

Radiology ◽  
2020 ◽  
Vol 296 (2) ◽  
pp. E55-E64 ◽  
Author(s):  
Yuhui Wang ◽  
Chengjun Dong ◽  
Yue Hu ◽  
Chungao Li ◽  
Qianqian Ren ◽  
...  
Keyword(s):  
Longitudinal Study ◽  
Temporal Changes ◽  
Ct Findings

scholarly journals Temporal changes of quantitative CT findings from 102 patients with COVID-19 in Wuhan, China: A longitudinal study

2021 ◽  
Vol 29 ◽  
pp. 297-309
Author(s):  
Xiaohui Chen ◽  
Wenbo Sun ◽  
Dan Xu ◽  
Jiaojiao Ma ◽  
Feng Xiao ◽  
...  
Keyword(s):  
Lung Diseases ◽  
Early Stage ◽  
Temporal Changes ◽  
Time Interval ◽  
Lesion Area ◽  
Quantitative Ct ◽  
Diagnosis And Prognosis ◽  
Ct Findings ◽  
Stage 4 ◽  
Stage 1

BACKGROUND: Computed tomography (CT) imaging combined with artificial intelligence is important in the diagnosis and prognosis of lung diseases. OBJECTIVE: This study aimed to investigate temporal changes of quantitative CT findings in patients with COVID-19 in three clinic types, including moderate, severe, and non-survivors, and to predict severe cases in the early stage from the results. METHODS: One hundred and two patients with confirmed COVID-19 were included in this study. Based on the time interval between onset of symptoms and the CT scan, four stages were defined in this study: Stage-1 (0 ∼7 days); Stage-2 (8 ∼ 14 days); Stage-3 (15 ∼ 21days); Stage-4 (> 21 days). Eight parameters, the infection volume and percentage of the whole lung in four different Hounsfield (HU) ranges, ((-, -750), [-750, -300), [-300, 50) and [50, +)), were calculated and compared between different groups. RESULTS: The infection volume and percentage of four HU ranges peaked in Stage-2. The highest proportion of HU [-750, 50) was found in the infected regions in non-survivors among three groups. CONCLUSIONS: The findings indicate rapid deterioration in the first week since the onset of symptoms in non-survivors. Higher proportion of HU [-750, 50) in the lesion area might be a potential bio-marker for poor prognosis in patients with COVID-19.

scholarly journals Improved physiology and metabolic flux after Roux-en-Y gastric bypass is associated with temporal changes in the circulating microRNAome: a longitudinal study in humans

BMC Obesity ◽  
2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Abdullah Alkandari ◽  
Hutan Ashrafian ◽  
Thozhukat Sathyapalan ◽  
Peter Sedman ◽  
Ara Darzi ◽  
...  
Keyword(s):  
Gastric Bypass ◽  
Longitudinal Study ◽  
Metabolic Flux ◽  
Temporal Changes

scholarly journals Initial CT findings and temporal changes in patients with the novel coronavirus pneumonia (2019-nCoV): a study of 63 patients in Wuhan, China

2020 ◽  
Vol 30 (6) ◽  
pp. 3306-3309 ◽  
Author(s):  
Yueying Pan ◽  
Hanxiong Guan ◽  
Shuchang Zhou ◽  
Yujin Wang ◽  
Qian Li ◽  
...  
Keyword(s):  
Temporal Changes ◽  
The Novel ◽  
Ct Findings ◽  
Novel Coronavirus

scholarly journals Temporal changes in serum biomarkers and risk for progression of gastric precancerous lesions: A longitudinal study

2014 ◽  
Vol 136 (2) ◽  
pp. 425-434 ◽  
Author(s):  
Huakang Tu ◽  
Liping Sun ◽  
Xiao Dong ◽  
Yuehua Gong ◽  
Qian Xu ◽  
...  
Keyword(s):  
Longitudinal Study ◽  
Precancerous Lesions ◽  
Temporal Changes ◽  
Serum Biomarkers

scholarly journals Temporal Trends in the Prevalence of Metabolic Syndrome among Middle-aged and Elderly adults from 2011 to 2015 in China: The China Health and Retirement Longitudinal Study (CHARLS)

2020 ◽  
Author(s):  
Bo Liu ◽  
Guanqun Chen ◽  
Ruijie Zhao ◽  
Dan Huang ◽  
Lixin Tao
Keyword(s):  
Metabolic Syndrome ◽  
Longitudinal Study ◽  
Urban Areas ◽  
Elderly Women ◽  
Temporal Trends ◽  
Mainland China ◽  
International Diabetes Federation ◽  
Temporal Changes ◽  
Elderly Adults ◽  
Nationally Representative

Abstract Background: Metabolic syndrome (MetS) is a major risk factor for cardiovascular diseases. The objective of the study was to evaluate the updated prevalence of MetS and provide a comprehensive illustration of the possible temporal changes in MetS prevalence in China from 2011 to 2015.Methods: The data for this study are from the 2011 and 2015 waves of the China Health and Retirement Longitudinal Study (CHARLS). CHARLS is a nationally representative survey targeting populations aged 45 and above from 28 provinces in mainland China. A total of 11847 and 13013 participants were eligible for data analysis at the two time points.Results: The estimated prevalence of MetS in 2015 was 20.41% (95% CI: 19.02%-21.8%) by the ATP III criteria, 34.77% (95% CI: 33.12%-36.42%) by the International Diabetes Federation (IDF) criteria, 39.68% (95% CI: 37.88%-41.47%) by the revised ATP III criteria, and 25.55% (95% CI: 24.19%-26.91%) by the Chinese Diabetes Society (CDS) criteria. The prevalence was higher among women and elderly adults and in urban and northern populations. Furthermore, the trends in the prevalence decreased significantly between 2011 and 2015 by the ATP III, revised ATP III and CDS criteria. However, trends increased significantly from 2011 to 2015 by the IDF criteria.Conclusions: In China, elderly women living in northern urban areas should receive more attention. Notably, temporal changes in the prevalence of MetS varied somewhat according to different criteria.

scholarly journals Temporal trends in the prevalence of metabolic syndrome among middle-aged and elderly adults from 2011 to 2015 in China: the China health and retirement longitudinal study (CHARLS)

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Bo Liu ◽  
Guanqun Chen ◽  
Ruijie Zhao ◽  
Dan Huang ◽  
Lixin Tao
Keyword(s):  
Metabolic Syndrome ◽  
Longitudinal Study ◽  
Urban Areas ◽  
Elderly Women ◽  
Temporal Trends ◽  
International Diabetes Federation ◽  
Temporal Changes ◽  
Blood Cholesterol ◽  
Elderly Adults ◽  
Middle Aged

Abstract Background Metabolic syndrome (MetS) is a major risk factor for cardiovascular diseases. The objective of the study was to evaluate the updated prevalence of MetS and provide a comprehensive illustration of the possible temporal changes in MetS prevalence in China from 2011 to 2015. Methods The data for this study are from the 2011 and 2015 waves of the China Health and Retirement Longitudinal Study (CHARLS). CHARLS is a nationally representative survey targeting populations aged 45 and above from 28 provinces in mainland China. A total of 11,847 and 13,013 participants were eligible for data analysis at the two time points. Results The estimated prevalence of MetS in 2015 was 20.41% (95% CI: 19.02–21.8%) by the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (ATP III) criteria, 34.77% (95% CI: 33.12–36.42%) by the International Diabetes Federation (IDF) criteria, 39.68% (95% CI: 37.88–41.47%) by the revised ATP III criteria, and 25.55% (95% CI: 24.19–26.91%) by the Chinese Diabetes Society (CDS) criteria. The prevalence was higher among women and elderly adults and in urban and northern populations. Furthermore, the trends in the prevalence decreased significantly between 2011 and 2015 by the ATP III, revised ATP III and CDS criteria. However, trends increased significantly from 2011 to 2015 by the IDF criteria. Conclusions A higher prevalence of MetS is found in those who reported being middle aged and elderly, women, residing in northern China or living in urban areas. Additionally, temporal changes in the prevalence of MetS varied according to different criteria. Increased attention to the causes associated with populations who have higher levels of MetS is warranted.

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