• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

COVID-GRAM 和 CURB-65 评分在预测 COVID-19 患者严重程度中的作用。

Usefulness of the COVID-GRAM and CURB-65 scores for predicting severity in patients with COVID-19.

机构信息

Service of Infectious Diseases, Hospital Universitario Marqués de Valdecilla, University of Cantabria, IDIVAL, Santander, Spain.

Service of Respiratory Medicine, Hospital Universitario Marqués de Valdecilla, Santander, Spain.

出版信息

Int J Infect Dis. 2021 Jul;108:282-288. doi: 10.1016/j.ijid.2021.05.048. Epub 2021 May 24.

DOI:10.1016/j.ijid.2021.05.048
PMID:34044145
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8142713/
Abstract

AIM

The aim of this study was to determine the usefulness of COVID-GRAM and CURB-65 scores as predictors of the severity of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in Caucasian patients.

METHODS

This was a retrospective observational study including all adults with SARS-CoV-2 infection admitted to Hospital Universitario Marqués de Valdecilla from February to May 2020. Patients were stratified according to COVID-GRAM and CURB-65 scores as being at low-medium or high risk of critical illness. Univariate analysis, multivariate logistic regression models, receiver operating characteristic curve, and area under the curve (AUC) were calculated.

RESULTS

A total of 523 patients were included (51.8% male, 48.2% female; mean age 65.63 years (standard deviation 17.89 years)), of whom 110 (21%) presented a critical illness (intensive care unit admission 10.3%, 30-day mortality 13.8%). According to the COVID-GRAM score, 122 (23.33%) patients were classified as high risk; 197 (37.7%) presented a CURB-65 score ≥2. A significantly greater proportion of patients with critical illness had a high COVID-GRAM score (64.5% vs 30.5%; P < 0.001). The COVID-GRAM score emerged as an independent predictor of critical illness (odds ratio 9.40, 95% confidence interval 5.51-16.04; P < 0.001), with an AUC of 0.779. A high COVID-GRAM score showed an AUC of 0.88 for the prediction of 30-day mortality, while a CURB-65 ≥2 showed an AUC of 0.83.

CONCLUSIONS

The COVID-GRAM score may be a useful tool for evaluating the risk of critical illness in Caucasian patients with SARS-CoV-2 infection. The CURB-65 score could be considered as an alternative.

摘要

目的

本研究旨在确定 COVID-GRAM 和 CURB-65 评分作为预测白人严重急性呼吸综合征冠状病毒 2 (SARS-CoV-2) 感染严重程度的指标的有用性。

方法

这是一项回顾性观察性研究,纳入了 2020 年 2 月至 5 月期间因 SARS-CoV-2 感染入住 Hospital Universitario Marqués de Valdecilla 的所有成年患者。根据 COVID-GRAM 和 CURB-65 评分,将患者分为低-中危或高危重症的亚组。进行了单因素分析、多因素逻辑回归模型、受试者工作特征曲线和曲线下面积(AUC)的计算。

结果

共纳入 523 例患者(51.8%为男性,48.2%为女性;平均年龄 65.63 岁(标准差 17.89 岁)),其中 110 例(21%)出现重症(入住重症监护病房 10.3%,30 天死亡率 13.8%)。根据 COVID-GRAM 评分,122 例(23.33%)患者被归类为高危;197 例(37.7%)患者的 CURB-65 评分≥2。重症患者中 COVID-GRAM 评分高的比例明显更高(64.5% vs 30.5%;P < 0.001)。COVID-GRAM 评分是重症的独立预测因子(优势比 9.40,95%置信区间 5.51-16.04;P < 0.001),AUC 为 0.779。高 COVID-GRAM 评分预测 30 天死亡率的 AUC 为 0.88,而 CURB-65≥2 的 AUC 为 0.83。

结论

COVID-GRAM 评分可用于评估白人 SARS-CoV-2 感染患者发生重症的风险,是一种有用的工具。CURB-65 评分可作为替代指标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b037/8142713/8978c98b049a/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b037/8142713/ef2e97ebf2b3/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b037/8142713/8978c98b049a/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b037/8142713/ef2e97ebf2b3/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b037/8142713/8978c98b049a/gr2_lrg.jpg

相似文献

1
Usefulness of the COVID-GRAM and CURB-65 scores for predicting severity in patients with COVID-19.COVID-GRAM 和 CURB-65 评分在预测 COVID-19 患者严重程度中的作用。
Int J Infect Dis. 2021 Jul;108:282-288. doi: 10.1016/j.ijid.2021.05.048. Epub 2021 May 24.
2
Performance of the CURB-65, ISARIC-4C and COVID-GRAM scores in terms of severity for COVID-19 patients.CURB-65、ISARIC-4C 和 COVID-GRAM 评分在 COVID-19 患者严重程度方面的表现。
Int J Clin Pract. 2021 Oct;75(10):e14759. doi: 10.1111/ijcp.14759. Epub 2021 Sep 3.
3
[Comparison of severity classification of Chinese protocol, pneumonia severity index and CURB-65 in risk stratification and prognostic assessment of coronavirus disease 2019].[中国方案、肺炎严重程度指数及CURB-65在2019冠状病毒病风险分层及预后评估中的严重程度分类比较]
Zhonghua Jie He He Hu Xi Za Zhi. 2020 Oct 12;43(10):834-838. doi: 10.3760/cma.j.cn112147-20200226-00186.
4
CURB-65 may serve as a useful prognostic marker in COVID-19 patients within Wuhan, China: a retrospective cohort study.CURB-65 可能是中国武汉 COVID-19 患者有用的预后标志物:一项回顾性队列研究。
Epidemiol Infect. 2020 Oct 1;148:e241. doi: 10.1017/S0950268820002368.
5
Performance of the quick COVID-19 severity index and the Brescia-COVID respiratory severity scale in hospitalized patients with COVID-19 in a community hospital setting.社区医院环境中 COVID-19 住院患者的快速 COVID-19 严重程度指数和布雷西亚-COVID 呼吸严重程度量表的性能。
Int J Infect Dis. 2021 Jan;102:571-576. doi: 10.1016/j.ijid.2020.11.003. Epub 2020 Nov 9.
6
Pneumonia Severity Index and CURB-65 Score Are Good Predictors of Mortality in Hospitalized Patients With SARS-CoV-2 Community-Acquired Pneumonia.肺炎严重指数和 CURB-65 评分是预测 SARS-CoV-2 社区获得性肺炎住院患者死亡率的良好指标。
Chest. 2022 Apr;161(4):927-936. doi: 10.1016/j.chest.2021.10.031. Epub 2021 Nov 2.
7
Performance of pneumonia severity index and CURB-65 in predicting 30-day mortality in patients with COVID-19.肺炎严重程度指数和CURB-65在预测新型冠状病毒肺炎患者30天死亡率中的表现
Int J Infect Dis. 2020 Sep;98:84-89. doi: 10.1016/j.ijid.2020.06.038. Epub 2020 Jun 14.
8
Pneumonia severity indices predict prognosis in coronavirus disease-2019.肺炎严重指数可预测 2019 冠状病毒疾病患者的预后。
Respir Med Res. 2021 May;79:100826. doi: 10.1016/j.resmer.2021.100826. Epub 2021 Apr 27.
9
Quick COVID-19 Severity Index, CURB-65 and Quick SOFA Scores Comparison in Predicting Mortality and Risk Factors of COVID-19 Patients.快速COVID-19严重程度指数、CURB-65和快速序贯器官衰竭评估(SOFA)评分在预测COVID-19患者死亡率及风险因素方面的比较
Arch Iran Med. 2022 Jul 1;25(7):443-449. doi: 10.34172/aim.2022.73.
10
Prediction of an increase in oxygen requirement of SARS-CoV-2 pneumonia using three different scoring systems.使用三种不同评分系统预测 SARS-CoV-2 肺炎的氧需求增加。
J Infect Chemother. 2021 Feb;27(2):336-341. doi: 10.1016/j.jiac.2020.12.009. Epub 2020 Dec 16.

引用本文的文献

1
Performance of Risk Scores in SARS-CoV-2 Infection: A Retrospective Study.SARS-CoV-2感染风险评分的表现:一项回顾性研究
Int J Environ Res Public Health. 2025 Jul 23;22(8):1166. doi: 10.3390/ijerph22081166.
2
Evaluating the predictive performance of PIRO score against six clinical prediction scores for COVID-19 outcomes in the emergency department.评估急诊科中PIRO评分对COVID-19结局的六种临床预测评分的预测性能。
Sci Rep. 2025 Jul 29;15(1):27657. doi: 10.1038/s41598-025-13131-y.
3
FeNO as a biomarker of interstitial and fibrotic pulmonary sequelae in patients admitted for severe SARS-CoV-2 pneumonia.

本文引用的文献

1
Correction to: Clinical and laboratory data, radiological structured report findings and quantitative evaluation of lung involvement on baseline chest CT in COVID-19 patients to predict prognosis.对以下内容的修正:COVID-19患者基线胸部CT的临床和实验室数据、放射学结构化报告结果及肺部受累情况的定量评估以预测预后
Radiol Med. 2021 Apr;126(4):643. doi: 10.1007/s11547-020-01322-8.
2
Clinical characteristics and outcomes among hospitalized adults with severe COVID-19 admitted to a tertiary medical center and receiving antiviral, antimalarials, glucocorticoids, or immunomodulation with tocilizumab or cyclosporine: A retrospective observational study (COQUIMA cohort).在一家三级医疗中心收治的患有严重新型冠状病毒肺炎(COVID-19)并接受抗病毒药物、抗疟药、糖皮质激素或使用托珠单抗或环孢素进行免疫调节的住院成人患者的临床特征及转归:一项回顾性观察性研究(COQUIMA队列研究)
EClinicalMedicine. 2020 Nov;28:100591. doi: 10.1016/j.eclinm.2020.100591. Epub 2020 Oct 15.
3
呼出气一氧化氮作为重症新型冠状病毒肺炎患者间质性和纤维化肺部后遗症的生物标志物。
Sci Rep. 2025 Jul 16;15(1):25696. doi: 10.1038/s41598-025-09229-y.
4
Time‑dependent ROC curve analysis to determine the predictive capacity of seven clinical scales for mortality in patients with COVID‑19: Study of a hospital cohort with very high mortality.采用时间依赖性ROC曲线分析来确定七种临床量表对COVID-19患者死亡率的预测能力:一项高死亡率医院队列研究。
Biomed Rep. 2024 May 9;20(6):100. doi: 10.3892/br.2024.1788. eCollection 2024 Jun.
5
Clinical features that predict the mortality risk in older patients with Omicron pneumonia: the MLWAP score.奥密克戎肺炎老年患者死亡风险预测的临床特征:MLWAP 评分。
Intern Emerg Med. 2024 Mar;19(2):465-475. doi: 10.1007/s11739-023-03506-2. Epub 2023 Dec 16.
6
Evaluation of risk scores as predictors of mortality and hospital length of stay for older COVID-19 patients.评估风险评分作为老年COVID-19患者死亡率和住院时间预测指标的情况。
Aging Med (Milton). 2023 Jan 10;6(1):56-62. doi: 10.1002/agm2.12238. eCollection 2023 Mar.
7
External Validation of COVID-19 Risk Scores during Three Waves of Pandemic in a German Cohort-A Retrospective Study.德国队列中三波疫情期间新冠病毒疾病风险评分的外部验证——一项回顾性研究
J Pers Med. 2022 Oct 28;12(11):1775. doi: 10.3390/jpm12111775.
8
The Usefulness of the COVID-GRAM Score in Predicting the Outcomes of Study Population with COVID-19.COVID-GRAM 评分在预测 COVID-19 研究人群结局中的作用。
Int J Environ Res Public Health. 2022 Oct 1;19(19):12537. doi: 10.3390/ijerph191912537.
9
Clinical prediction models in hospitalized patients with COVID-19: A multicenter cohort study.COVID-19 住院患者的临床预测模型:一项多中心队列研究。
Respir Med. 2022 Oct;202:106954. doi: 10.1016/j.rmed.2022.106954. Epub 2022 Aug 21.
10
Predicting the Disease Severity of Virus Infection.预测病毒感染的疾病严重程度。
Adv Exp Med Biol. 2022;1368:111-139. doi: 10.1007/978-981-16-8969-7_6.
Does Serum Vitamin D Level Affect COVID-19 Infection and Its Severity?-A Case-Control Study.血清维生素D水平是否会影响新型冠状病毒肺炎感染及其严重程度?一项病例对照研究。
J Am Coll Nutr. 2021 Nov-Dec;40(8):724-731. doi: 10.1080/07315724.2020.1826005. Epub 2020 Oct 13.
4
Predicting severe outcomes in Covid-19 related illness using only patient demographics, comorbidities and symptoms.仅使用患者人口统计学、合并症和症状预测与 Covid-19 相关疾病的严重结局。
Am J Emerg Med. 2021 Jul;45:378-384. doi: 10.1016/j.ajem.2020.09.017. Epub 2020 Sep 9.
5
A novel severity score to predict inpatient mortality in COVID-19 patients.一种预测 COVID-19 患者住院死亡率的新型严重程度评分。
Sci Rep. 2020 Oct 7;10(1):16726. doi: 10.1038/s41598-020-73962-9.
6
CURB-65 may serve as a useful prognostic marker in COVID-19 patients within Wuhan, China: a retrospective cohort study.CURB-65 可能是中国武汉 COVID-19 患者有用的预后标志物:一项回顾性队列研究。
Epidemiol Infect. 2020 Oct 1;148:e241. doi: 10.1017/S0950268820002368.
7
[Comparison of severity classification of Chinese protocol, pneumonia severity index and CURB-65 in risk stratification and prognostic assessment of coronavirus disease 2019].[中国方案、肺炎严重程度指数及CURB-65在2019冠状病毒病风险分层及预后评估中的严重程度分类比较]
Zhonghua Jie He He Hu Xi Za Zhi. 2020 Oct 12;43(10):834-838. doi: 10.3760/cma.j.cn112147-20200226-00186.
8
Assessment of risk scores in Covid-19.新冠病毒风险评分评估。
Int J Clin Pract. 2021 Dec;75(12):e13705. doi: 10.1111/ijcp.13705. Epub 2020 Nov 21.
9
Development and validation of prognosis model of mortality risk in patients with COVID-19.开发和验证 COVID-19 患者死亡率风险预后模型。
Epidemiol Infect. 2020 Aug 4;148:e168. doi: 10.1017/S0950268820001727.
10
Adult ICU Triage During the Coronavirus Disease 2019 Pandemic: Who Will Live and Who Will Die? Recommendations to Improve Survival.2019 年冠状病毒病大流行期间的成人 ICU 分诊:谁将生存,谁将死亡?提高生存率的建议。
Crit Care Med. 2020 Aug;48(8):1196-1202. doi: 10.1097/CCM.0000000000004410.