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住院COVID-19患者预后较差的预测因素,重点关注胸部计算机断层扫描数据:一项回顾性研究。

Prognostic factors of worse outcome for hospitalized COVID-19 patients, with emphasis on chest computed tomography data: a retrospective study.

作者信息

do Amaral E Castro Adham, Yokoo Patrícia, Fonseca Eduardo Kaiser Ururahy Nunes, Otoni Jessyca Couto, Haiek Sarah Lustosa, Shoji Hamilton, Chate Rodrigo Caruso, Pereira Andrea Z, Queiroz Marcos Roberto Gomes de, Batista Marcelo Costa, Szarf Gilberto

机构信息

Hospital Israelita Albert Einstein, São Paulo, SP, Brazil.

Hospital Israelita Albert Einstein, Goiânia, GO, Brazil.

出版信息

Einstein (Sao Paulo). 2022 May 30;20:eAO6953. doi: 10.31744/einstein_journal/2022AO6953. eCollection 2022.

DOI:10.31744/einstein_journal/2022AO6953
PMID:35649055
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9126606/
Abstract

OBJECTIVE

To evaluate anthropometric and clinical data, muscle mass, subcutaneous fat, spine bone mineral density, extent of acute pulmonary disease related to COVID-19, quantification of pulmonary emphysema, coronary calcium, and hepatic steatosis using chest computed tomography of hospitalized patients with confirmed diagnosis of COVID-19 pneumonia and verify its association with disease severity.

METHODS

A total of 123 adults hospitalized due to COVID-19 pneumonia were enrolled in the present study, which evaluated the anthropometric, clinical and chest computed tomography data (pectoral and paravertebral muscle area and density, subcutaneous fat, thoracic vertebral bodies density, degree of pulmonary involvement by disease, coronary calcium quantification, liver attenuation measurement) and their association with poorer prognosis characterized through a combined outcome of intubation and mechanical ventilation, need of intensive care unit, and death.

RESULTS

Age (p=0.013), body mass index (p=0.009), lymphopenia (p=0.034), and degree of pulmonary involvement of COVID-19 pneumonia (p<0.001) were associated with poor prognosis. Extent of pulmonary involvement by COVID-19 pneumonia had an odds ratio of 1,329 for a poor prognosis and a cutoff value of 6.5 for increased risk, with a sensitivity of 64.9% and specificity of 67.1%.

CONCLUSION

The present study found an association of high body mass index, older age, extent of pulmonary involvement by COVID-19, and lymphopenia with severity of COVID-19 pneumonia in hospitalized patients.

摘要

目的

利用确诊为新型冠状病毒肺炎的住院患者的胸部计算机断层扫描,评估人体测量学和临床数据、肌肉质量、皮下脂肪、脊柱骨密度、与新型冠状病毒肺炎相关的急性肺部疾病程度、肺气肿量化、冠状动脉钙化和肝脂肪变性,并验证其与疾病严重程度的关联。

方法

本研究共纳入123例因新型冠状病毒肺炎住院的成年人,评估了人体测量学、临床和胸部计算机断层扫描数据(胸肌和椎旁肌面积及密度、皮下脂肪、胸椎椎体密度、疾病所致肺部受累程度、冠状动脉钙化量化、肝脏衰减测量)及其与通过插管和机械通气、重症监护病房需求和死亡的综合结果所表征的较差预后的关联。

结果

年龄(p=0.013)、体重指数(p=0.009)、淋巴细胞减少(p=0.034)和新型冠状病毒肺炎的肺部受累程度(p<0.001)与预后不良相关。新型冠状病毒肺炎的肺部受累程度对于预后不良的比值比为1329,风险增加的临界值为6.5,敏感性为64.9%,特异性为67.1%。

结论

本研究发现,高体重指数、老年、新型冠状病毒肺炎的肺部受累程度和淋巴细胞减少与住院患者新型冠状病毒肺炎的严重程度相关。

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本文引用的文献

1
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J Gerontol A Biol Sci Med Sci. 2021 Jul 13;76(8):e110-e116. doi: 10.1093/gerona/glab085.
2
CT-derived Chest Muscle Metrics for Outcome Prediction in Patients with COVID-19.基于 CT 的胸部肌肉指标预测 COVID-19 患者的预后。
Radiology. 2021 Aug;300(2):E328-E336. doi: 10.1148/radiol.2021204141. Epub 2021 Mar 16.
3
Retraction notice to Obesity a nd Mortality of COVID-19.Meta-analysis [Obesity Research & Clinical Practice 14/4 (2020) 295-300].
新型冠状病毒肺炎患者异常体成分表型的流行情况及其临床意义:系统综述。
Am J Clin Nutr. 2023 Jun;117(6):1288-1305. doi: 10.1016/j.ajcnut.2023.04.003. Epub 2023 Apr 8.
4
COVID-19 and MAFLD/NAFLD: An updated review.2019冠状病毒病与代谢功能障碍相关脂肪性肝病/非酒精性脂肪性肝病:最新综述
Front Med (Lausanne). 2023 Mar 24;10:1126491. doi: 10.3389/fmed.2023.1126491. eCollection 2023.
《关于“肥胖与2019冠状病毒病死亡率。荟萃分析”的撤稿通知》[《肥胖研究与临床实践》14/4 (2020) 295 - 300]
Obes Res Clin Pract. 2021 Jan-Feb;15(1):100. doi: 10.1016/j.orcp.2020.12.008.
4
Association of Body Mass Index and Age With Morbidity and Mortality in Patients Hospitalized With COVID-19: Results From the American Heart Association COVID-19 Cardiovascular Disease Registry.体重指数和年龄与 COVID-19 住院患者发病率和死亡率的关系:美国心脏协会 COVID-19 心血管疾病登记研究结果。
Circulation. 2021 Jan 12;143(2):135-144. doi: 10.1161/CIRCULATIONAHA.120.051936. Epub 2020 Nov 17.
5
Predictive value of CT in the short-term mortality of Coronavirus Disease 2019 (COVID-19) pneumonia in nonelderly patients: A case-control study.CT 对非老年 COVID-19 肺炎患者短期死亡率的预测价值:一项病例对照研究。
Eur J Radiol. 2020 Nov;132:109298. doi: 10.1016/j.ejrad.2020.109298. Epub 2020 Sep 21.
6
Higher frequency of hepatic steatosis at CT among COVID-19-positive patients.COVID-19 阳性患者 CT 检查中肝脂肪变性的频率更高。
Abdom Radiol (NY). 2020 Sep;45(9):2748-2754. doi: 10.1007/s00261-020-02648-7. Epub 2020 Jul 18.
7
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8
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Cardiovasc Res. 2020 Dec 1;116(14):2239-2246. doi: 10.1093/cvr/cvaa193.
9
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J Korean Med Sci. 2020 Jun 29;35(25):e237. doi: 10.3346/jkms.2020.35.e237.
10
Clinical characteristics and chest CT imaging features of critically ill COVID-19 patients.危重症 COVID-19 患者的临床特征和胸部 CT 影像学特征。
Eur Radiol. 2020 Nov;30(11):6151-6160. doi: 10.1007/s00330-020-06955-x. Epub 2020 May 30.