Correlation between Chest CT Severity Scores and the Clinical Parameters of Adult Patients with COVID-19 Pneumonia.
Correlation between Chest CT Severity Scores and the Clinical Parameters of Adult Patients with COVID-19 Pneumonia.
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DOI：
10.1155/2021/6697677
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发表时间：
2021
影响因子：
2.7
通讯作者：
Almazrouei S
中科院分区：
文献类型：
--
作者：
Saeed GA;Gaba W;Shah A;Al Helali AA;Raidullah E;Al Ali AB;Elghazali M;Ahmed DY;Al Kaabi SG;Almazrouei S
我们的目的是将COVID-19感染患者的临床状况与Chang等人的25分CT严重程度评分（2005年设计用于评估SARS患者的ARDS）联系起来。收集2020年3月至4月至我院就诊的疑似COVID-19感染的连续症状患者的资料。所有患者均进行了两次连续的RT-PCR检测，并在就诊时进行了非对比HRCT扫描。从最初的1062例患者队列中，160例患者被排除，总人数为902例。平均年龄44.2±11.9岁，其中男性85.3%，女性14.7%。CT严重程度评分与淋巴细胞减少、血清CRP、d-二聚体和铁蛋白水平升高呈正相关（p < 0.0001）。需氧量和住院时间随扫描严重程度的增加而增加。25分CT严重程度评分与COVID-19临床严重程度呈正相关。我们的数据表明，胸部CT评分系统可以帮助预测COVID-19疾病结局，并与实验室检查和氧气需求显着相关。
Our aim is to correlate the clinical condition of patients with COVID-19 infection with the 25-point CT severity score by Chang et al. (devised for assessment of ARDS in patients with SARS in 2005). Data of consecutive symptomatic patients who were suspected to have COVID-19 infection and presented to our hospital were collected from March to April 2020. All patients underwent two consecutive RT-PCR tests and had a noncontrast HRCT scan done at presentation. From the original cohort of 1062 patients, 160 patients were excluded leaving a total number of 902 patients. The mean age was 44.2 ± 11.9 years (85.3% males, 14.7% females). CT severity score was found to be positively correlated with lymphopenia, increased serum CRP, d-dimer, and ferritin levels (p < 0.0001). The oxygen requirements and length of hospital stay were increasing with the increase in scan severity. The 25-point CT severity score correlates well with the COVID-19 clinical severity. Our data suggest that chest CT scoring system can aid in predicting COVID-19 disease outcome and significantly correlates with lab tests and oxygen requirements.
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DOI：
10.1148/ryct.2020200075
发表时间：
2020-04-01
期刊：
RADIOLOGY-CARDIOTHORACIC IMAGING
影响因子：
--
作者：
Huang, Lu;Han, Rui;Xia, Liming
通讯作者：
Xia, Liming
影响因子：
5.9
作者：
Li, Yan;Yang, Zhenlu;Xia, Liming
通讯作者：
Xia, Liming
影响因子：
24.3
作者：
Guan, Wei-jie;Liang, Wen-hua;He, Jian-xing
通讯作者：
He, Jian-xing
影响因子：
158.5
作者：
Ackermann, Maximilian;Verleden, Stijn E.;Jonigk, Danny
通讯作者：
Jonigk, Danny
影响因子：
5.9
作者：
Francone, Marco;Iafrate, Franco;Catalano, Carlo
通讯作者：
Catalano, Carlo