• 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

纤维生成 4 指数作为 COVID-19 住院患者死亡率的预测指标:一项回顾性多中心队列研究。

Fibrosis-4 index as a predictor for mortality in hospitalised patients with COVID-19: a retrospective multicentre cohort study.

机构信息

Department of Internal Medicine, College of Medicine, Yeungnam University, Daegu, South Korea.

Department of Internal Medicine, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, South Korea.

出版信息

BMJ Open. 2020 Nov 12;10(11):e041989. doi: 10.1136/bmjopen-2020-041989.

DOI:10.1136/bmjopen-2020-041989
PMID:33184086
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7662142/
Abstract

OBJECTIVE

The reliable risk factors for mortality of COVID-19 has not evaluated in well-characterised cohort. This study aimed to identify risk factors for in-hospital mortality within 56 days in patients with severe infection of COVID-19.

DESIGN

Retrospective multicentre cohort study.

SETTING

Five tertiary hospitals of Daegu, South Korea.

PARTICIPANTS

1005 participants over 19 years old confirmed COVID-19 using real-time PCR from nasopharyngeal and oropharyngeal swabs.

METHODS

The clinical and laboratory features of patients with COVID-19 receiving respiratory support were analysed to ascertain the risk factors for mortality using the Cox proportional hazards regression model. The relationship between overall survival and risk factors was analysed using the Kaplan-Meier method.

OUTCOME

In-hospital mortality for any reason within 56 days.

RESULTS

Of the 1005 patients, 289 (28.8%) received respiratory support, and of these, 70 patients (24.2%) died. In multivariate analysis, high fibrosis-4 index (FIB-4; HR 2.784), low lymphocyte count (HR 0.480), diabetes (HR 1.917) and systemic inflammatory response syndrome (HR 1.714) were found to be independent risk factors for mortality in patients with COVID-19 receiving respiratory support (all p<0.05). Regardless of respiratory support, survival in the high FIB-4 group was significantly lower than in the low FIB-4 group (28.8 days vs 44.0 days, respectively, p<0.001). A number of risk factors were also significantly related to survival in patients with COVID-19 regardless of respiratory support (0-4 risk factors, 50.2 days; 49.7 days; 44.4 days; 32.0 days; 25.0 days, respectively, p<0.001).

CONCLUSION

FIB-4 index is a useful predictive marker for mortality in patients with COVID-19 regardless of its severity.

摘要

目的

在特征明确的队列中,尚未评估 COVID-19 死亡率的可靠危险因素。本研究旨在确定 COVID-19 严重感染患者住院 56 天内的死亡风险因素。

设计

回顾性多中心队列研究。

地点

韩国大邱的五所三级医院。

参与者

1005 名年龄在 19 岁以上的患者,通过鼻咽和口咽拭子实时 PCR 检测确诊为 COVID-19。

方法

对接受呼吸支持的 COVID-19 患者的临床和实验室特征进行分析,使用 Cox 比例风险回归模型确定死亡率的风险因素。采用 Kaplan-Meier 法分析总生存率与风险因素的关系。

结果

56 天内任何原因导致的院内死亡率。

结果

在 1005 名患者中,289 名(28.8%)接受了呼吸支持,其中 70 名(24.2%)患者死亡。多变量分析发现,高纤维化-4 指数(FIB-4;HR 2.784)、低淋巴细胞计数(HR 0.480)、糖尿病(HR 1.917)和全身炎症反应综合征(HR 1.714)是 COVID-19 患者接受呼吸支持后死亡的独立危险因素(均 P<0.05)。无论是否接受呼吸支持,FIB-4 高组的生存率均明显低于 FIB-4 低组(分别为 28.8 天和 44.0 天,P<0.001)。无论是否接受呼吸支持,许多风险因素与 COVID-19 患者的生存率显著相关(0-4 个风险因素,50.2 天;49.7 天;44.4 天;32.0 天;25.0 天,均 P<0.001)。

结论

FIB-4 指数是 COVID-19 患者死亡率的有用预测指标,无论严重程度如何。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6481/7662142/92298e5c9ccd/bmjopen-2020-041989f04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6481/7662142/52a91d6cfae9/bmjopen-2020-041989f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6481/7662142/387ac856ee82/bmjopen-2020-041989f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6481/7662142/ec3d2d2a3231/bmjopen-2020-041989f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6481/7662142/92298e5c9ccd/bmjopen-2020-041989f04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6481/7662142/52a91d6cfae9/bmjopen-2020-041989f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6481/7662142/387ac856ee82/bmjopen-2020-041989f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6481/7662142/ec3d2d2a3231/bmjopen-2020-041989f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6481/7662142/92298e5c9ccd/bmjopen-2020-041989f04.jpg

相似文献

1
Fibrosis-4 index as a predictor for mortality in hospitalised patients with COVID-19: a retrospective multicentre cohort study.纤维生成 4 指数作为 COVID-19 住院患者死亡率的预测指标:一项回顾性多中心队列研究。
BMJ Open. 2020 Nov 12;10(11):e041989. doi: 10.1136/bmjopen-2020-041989.
2
Evaluation of the clinical profile, laboratory parameters and outcome of two hundred COVID-19 patients from a tertiary centre in India.对来自印度一家三级中心的200例新冠肺炎患者的临床特征、实验室参数及预后进行评估。
Monaldi Arch Chest Dis. 2020 Nov 9;90(4). doi: 10.4081/monaldi.2020.1507.
3
Fasting Plasma Glucose Level Independently Predicts the Mortality of Patients with Coronavirus Disease 2019 Infection: A Multicenter, Retrospective Cohort Study.空腹血糖水平可独立预测 2019 年冠状病毒病感染患者的死亡率:一项多中心回顾性队列研究。
Endocrinol Metab (Seoul). 2020 Sep;35(3):595-601. doi: 10.3803/EnM.2020.719. Epub 2020 Aug 26.
4
Risk Factors Associated With Mortality Among Patients With COVID-19 in Intensive Care Units in Lombardy, Italy.意大利伦巴第地区重症监护病房中 COVID-19 患者死亡的相关危险因素。
JAMA Intern Med. 2020 Oct 1;180(10):1345-1355. doi: 10.1001/jamainternmed.2020.3539.
5
The Clinical Characteristics and Outcomes of Patients with Moderate-to-Severe Coronavirus Disease 2019 Infection and Diabetes in Daegu, South Korea.韩国大邱市 2019 年冠状病毒病中度至重度感染合并糖尿病患者的临床特征和结局。
Diabetes Metab J. 2020 Aug;44(4):602-613. doi: 10.4093/dmj.2020.0146. Epub 2020 Aug 12.
6
Liver damage at admission is an independent prognostic factor for COVID-19.入院时的肝损伤是 COVID-19 的一个独立预后因素。
J Dig Dis. 2020 Sep;21(9):512-518. doi: 10.1111/1751-2980.12925.
7
Prognostic factors in hospitalized patients diagnosed with SARS-CoV-2 infection, Bogotá, Colombia.哥伦比亚波哥大确诊感染新冠病毒的住院患者的预后因素
Biomedica. 2020 Oct 30;40(Supl. 2):116-130. doi: 10.7705/biomedica.5764.
8
Patient characteristics, clinical course and factors associated to ICU mortality in critically ill patients infected with SARS-CoV-2 in Spain: A prospective, cohort, multicentre study.西班牙感染新型冠状病毒肺炎(SARS-CoV-2)的危重症患者的特征、临床病程及与重症监护病房(ICU)死亡率相关的因素:一项前瞻性队列多中心研究
Rev Esp Anestesiol Reanim (Engl Ed). 2020 Oct;67(8):425-437. doi: 10.1016/j.redar.2020.07.003. Epub 2020 Jul 13.
9
Risk factors of severe cases with COVID-19: a meta-analysis.COVID-19 重症病例的风险因素:荟萃分析。
Epidemiol Infect. 2020 Aug 12;148:e175. doi: 10.1017/S095026882000179X.
10
Experience with tocilizumab in severe COVID-19 pneumonia after 80 days of follow-up: A retrospective cohort study.托珠单抗治疗 80 天后严重 COVID-19 肺炎的经验:一项回顾性队列研究。
J Autoimmun. 2020 Nov;114:102523. doi: 10.1016/j.jaut.2020.102523. Epub 2020 Jul 16.

引用本文的文献

1
Prognostic impact of FAN score in patients receiving nivolumab plus ipilimumab for metastatic renal cell carcinoma.接受纳武利尤单抗联合伊匹单抗治疗转移性肾细胞癌患者中 FAN 评分的预后影响。
Sci Rep. 2024 May 29;14(1):12398. doi: 10.1038/s41598-024-63403-2.
2
Prognostic Value of Fibrosis 4 (FIB-4) Index in Sepsis Patients.脓毒症患者中纤维化4(FIB-4)指数的预后价值
J Pers Med. 2024 May 16;14(5):531. doi: 10.3390/jpm14050531.
3
Impact of liver fibrosis on COVID-19 in-hospital mortality in Southern Italy.意大利南部肝纤维化对 COVID-19 住院死亡率的影响。

本文引用的文献

1
Elevation of Liver Fibrosis Index FIB-4 Is Associated With Poor Clinical Outcomes in Patients With COVID-19.肝纤维化指数 FIB-4 升高与 COVID-19 患者的临床预后不良相关。
J Infect Dis. 2020 Aug 4;222(5):726-733. doi: 10.1093/infdis/jiaa355.
2
Multicenter analysis of clinical characteristics and outcomes in patients with COVID-19 who develop liver injury.对发生肝损伤的新型冠状病毒肺炎患者临床特征及预后的多中心分析
J Hepatol. 2020 Aug;73(2):455-458. doi: 10.1016/j.jhep.2020.04.010. Epub 2020 Apr 17.
3
A Tool for Early Prediction of Severe Coronavirus Disease 2019 (COVID-19): A Multicenter Study Using the Risk Nomogram in Wuhan and Guangdong, China.
PLoS One. 2024 May 7;19(5):e0296495. doi: 10.1371/journal.pone.0296495. eCollection 2024.
4
Fibrosis-4 (FIB-4) index as a predictor for mechanical ventilation and 30-day mortality across COVID-19 variants.纤维化-4(FIB-4)指数作为新冠病毒变异株机械通气和30天死亡率的预测指标。
J Clin Transl Sci. 2023 Jul 17;7(1):e213. doi: 10.1017/cts.2023.594. eCollection 2023.
5
The effect of postoperative hepatic fibrosis factors on morbidity in mitral valve replacement surgery: A single center ten years' experience.术后肝纤维化因素对二尖瓣置换术发病率的影响:单中心十年经验。
Ann Card Anaesth. 2023 Apr-Jun;26(2):190-196. doi: 10.4103/aca.aca_55_22.
6
Fib-4 score is able to predict intra-hospital mortality in 4 different SARS-COV2 waves.Fib-4 评分能够预测 4 波不同 SARS-COV2 浪潮中的院内死亡率。
Intern Emerg Med. 2023 Aug;18(5):1415-1427. doi: 10.1007/s11739-023-03310-y. Epub 2023 Jul 25.
7
Association of non-alcoholic fatty liver and metabolic-associated fatty liver with COVID-19 outcomes: A systematic review and meta-analysis.非酒精性脂肪肝和代谢相关脂肪性肝病与 COVID-19 结局的关系:系统评价和荟萃分析。
World J Gastroenterol. 2023 Jun 7;29(21):3362-3378. doi: 10.3748/wjg.v29.i21.3362.
8
Metabolic-associated fatty liver disease and liver fibrosis scores as COVID-19 outcome predictors: a machine-learning application.代谢相关脂肪性肝病和肝纤维化评分作为 COVID-19 结局预测因子:机器学习应用。
Intern Emerg Med. 2023 Oct;18(7):2063-2073. doi: 10.1007/s11739-023-03316-6. Epub 2023 Jun 3.
9
Predicting In-Hospital Mortality in Severe COVID-19: A Systematic Review and External Validation of Clinical Prediction Rules.预测重症 COVID-19 的院内死亡率:临床预测规则的系统评价与外部验证
Biomedicines. 2022 Sep 27;10(10):2414. doi: 10.3390/biomedicines10102414.
10
Prognostic Impact of Myosteatosis on Mortality in Hospitalized Patients with COVID-19.肌少脂性肥胖对COVID-19住院患者死亡率的预后影响
Diagnostics (Basel). 2022 Sep 18;12(9):2255. doi: 10.3390/diagnostics12092255.
一种用于早期预测严重 2019 冠状病毒病(COVID-19)的工具:来自中国武汉和广东的多中心研究使用风险列线图。
Clin Infect Dis. 2020 Jul 28;71(15):833-840. doi: 10.1093/cid/ciaa443.
4
Prediction models for diagnosis and prognosis in Covid-19.新型冠状病毒肺炎诊断与预后的预测模型
BMJ. 2020 Apr 14;369:m1464. doi: 10.1136/bmj.m1464.
5
Spread of SARS-CoV-2 in the Icelandic Population.SARS-CoV-2 在冰岛人群中的传播。
N Engl J Med. 2020 Jun 11;382(24):2302-2315. doi: 10.1056/NEJMoa2006100. Epub 2020 Apr 14.
6
Clinical Features of COVID-19-Related Liver Functional Abnormality.新型冠状病毒病相关肝功能异常的临床特征。
Clin Gastroenterol Hepatol. 2020 Jun;18(7):1561-1566. doi: 10.1016/j.cgh.2020.04.002. Epub 2020 Apr 10.
7
Neutrophil-to-lymphocyte ratio as an independent risk factor for mortality in hospitalized patients with COVID-19.中性粒细胞与淋巴细胞比值可作为 COVID-19 住院患者死亡的独立危险因素。
J Infect. 2020 Jul;81(1):e6-e12. doi: 10.1016/j.jinf.2020.04.002. Epub 2020 Apr 10.
8
Clinical characteristics of coronavirus disease 2019 (COVID-19) in China: A systematic review and meta-analysis.《中国 2019 年冠状病毒病(COVID-19)的临床特征:系统评价和荟萃分析》
J Infect. 2020 Jun;80(6):656-665. doi: 10.1016/j.jinf.2020.03.041. Epub 2020 Apr 10.
9
Pathogenesis of COVID-19 from a cell biology perspective.从细胞生物学角度看 COVID-19 的发病机制。
Eur Respir J. 2020 Apr 16;55(4). doi: 10.1183/13993003.00607-2020. Print 2020 Apr.
10
Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal.COVID-19 诊断和预后预测模型:系统评价和批判性评估。
BMJ. 2020 Apr 7;369:m1328. doi: 10.1136/bmj.m1328.