Correlation between chest CT severity scores and clinical and biochemical parameters of COVID-19 pneumonia.
Correlation between chest CT severity scores and clinical and biochemical parameters of COVID-19 pneumonia.
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胸部CT严重程度评分与COVID-19肺炎临床和生化指标的相关性。
DOI：
10.1111/crj.13515
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发表时间：
2022-07
期刊：
影响因子：
--
通讯作者：
中科院分区：
文献类型：
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作者：
2019冠状病毒病疫情于二零一九年十二月首次出现于中国武汉，并迅速蔓延至地球仪各地，至今仍构成严重威胁。由于COVID-19的快速传染，需要快速准确的诊断方法来尽快识别、隔离和治疗患者。在本研究中，研究了半定量评分方法与计算机断层扫描在诊断COVID-19中确定疾病严重程度与临床和实验室参数以及患者生存率的关系沿着在预后预测中的价值。本研究回顾性评估了2020年3月11日至2020年5月31日期间因COVID-19肺炎在胸部疾病诊所接受随访的共计277名成人患者。根据解剖结构将双肺分为5个区域，根据病灶在每个区域的分布情况进行半定量放射学评分，评分范围为0 ~ 25分。研究半定量放射学评分与年龄、性别、合并症、临床和实验室参数之间的关系。在本研究进行的单变量分析中，检测到高龄、淋巴细胞减少、低氧饱和度、高铁蛋白、D-二聚体和放射学评分之间存在显著相关性。在ROC分析中，发现半定量放射学评分的临界值为15（AUC：0.615，95% CI：0.554-0.617，p = 0.106）。Kaplan-Meier分析发现放射学评分低于15分的患者生存率更高（HR：4.71，95%CI：1.43-15.46，p < 0.01）。在放射学评分和非参数相关分析中，CRP、D-二聚体、AST、LDH、铁蛋白和pro-BNP之间呈正相关，氧分压和氧饱和度之间呈负相关（p = 0.01，r = 0.321/0.313/0.362/0.343/0.313/0.333/−0.235/−0.231，）研究发现，在2019冠状病毒病患者胸部HRCT中定量计算的评分系统是确定疾病严重程度和预后的预测因素，临床和实验室参数。考虑到半定量评分≥ 15分的患者在预后不良和生存期短方面存在风险，密切随访和早期治疗可能有效降低死亡率。研究发现，Covid-19患者胸部HRCT中定量计算的评分系统与临床和实验室参数的相关性是确定疾病严重程度和预后的预测因素。
The COVID‐19 pandemic, which first appeared in Wuhan, China, in December 2019 and spread rapidly around the globe, continues to be a serious threat today. Rapid and accurate diagnostic methods are needed to identify, isolate and treat patients as soon as possible because of the rapid contagion of COVID‐19. In the present study, the relation of the semi‐quantitative scoring method with computed tomography in the diagnosis of COVID‐19 in determining the severity of the disease with clinical and laboratory parameters and survival of the patients were investigated along with its value in prognostic prediction. A total of 277 adult patients who were followed up in the chest diseases clinic because of COVID‐19 pneumonia between 11.03.2020 and 31.05.2020 were evaluated retrospectively in the present study. Both lungs were divided into five regions in line with their anatomical structures, and semiquantitative radiological scoring was made between 0 and 25 points according to the distribution of lesions in each region. The relations between semiquantitative radiological score and age, gender, comorbidity, and clinical and laboratory parameters were examined. A significant correlation was detected between advanced age, lymphopenia, low oxygen saturation, high ferritin, D‐dimer, and radiological score in the univariate analysis performed in the present study. The cut‐off value of the semiquantitative radiology score was found to be 15 (AUC: 0.615, 95% CI: 0.554–0.617, p = 0.106) in ROC analysis. The survival was found to be better in cases with a radiology score below 15, in Kaplan–Meier analysis (HR: 4.71, 95% CI: 1.43–15.46, p < 0.01). In the radiological score and nonparametric correlation analyses, positive correlations were detected between CRP, D‐dimer, AST, LDH, ferritin, and pro‐BNP, and a negative correlation was found between partial oxygen pressure and oxygen saturation (p = 0.01, r = 0.321/0.313/0.362/0.343/0.313/0.333/−0.235/−0.231, respectively) It was found that the scoring system that was calculated quantitatively in thorax HRCTs in Covid‐19 patients is a predictive actor in determining the severity and prognosis of the disease in correlation with clinical and laboratory parameters. Considering patients who have a score of 15 and above with semiquantitative scoring risky in terms of poor prognosis and short survival and close follow‐up and early treatment may be effective to reduce mortality rates. Correlation of the quantitatively calculated scoring system in thorax HRCTs in Covid‐19 patients with clinical and laboratory parameters was found to be a predictive factor in determining the severity and prognosis of the disease.
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DOI：
10.1016/s0140-6736(22)00017-4
发表时间：
2022-01-29
期刊：
Lancet (London, England)
影响因子：
--
作者：
Wolter N;Jassat W;Walaza S;Welch R;Moultrie H;Groome M;Amoako DG;Everatt J;Bhiman JN;Scheepers C;Tebeila N;Chiwandire N;du Plessis M;Govender N;Ismail A;Glass A;Mlisana K;Stevens W;Treurnicht FK;Makatini Z;Hsiao NY;Parboosing R;Wadula J;Hussey H;Davies MA;Boulle A;von Gottberg A;Cohen C
通讯作者：
Cohen C
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：
2.7
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
通讯作者：
Almazrouei S
影响因子：
5.9
作者：
Francone, Marco;Iafrate, Franco;Catalano, Carlo
通讯作者：
Catalano, Carlo
影响因子：
19.7
作者：
Lessmann, Nikolas;Sanchez, Clara, I;van Ginneken, Bram
通讯作者：
van Ginneken, Bram