• 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

相似文献

1
Anticipating outcomes for patients with COVID-19 and identifying prognosis patterns.预测新冠肺炎患者的预后并识别预后模式。
Lancet Infect Dis. 2021 Jun;21(6):744-745. doi: 10.1016/S1473-3099(21)00073-6. Epub 2021 Feb 23.
2
The authors respond: Anticipating Covid prognosis from white blood cell count.作者回应:通过白细胞计数预测新冠预后。
Am J Emerg Med. 2021 Sep;47:297-298. doi: 10.1016/j.ajem.2021.04.078. Epub 2021 May 1.
3
Increased Incidence of In-Hospital Ischemic Stroke During SARS-CoV-2 Outbreak: A Single-Center Study.新冠病毒爆发期间住院缺血性脑卒中发病率增加:一项单中心研究。
Neurocrit Care. 2022 Feb;36(1):208-215. doi: 10.1007/s12028-021-01286-1. Epub 2021 Jul 15.
4
SARS-CoV-2 infection and H1N1 vaccination: does a relationship between the two factors really exist? A retrospective analysis of a territorial cohort in Ferrara, Italy.SARS-CoV-2 感染和 H1N1 疫苗接种:这两个因素之间真的存在关联吗?对意大利费拉拉地区队列的回顾性分析。
Eur Rev Med Pharmacol Sci. 2021 Mar;25(6):2795-2801. doi: 10.26355/eurrev_202103_25441.
5
The relationship of serum testosterone levels with the clinical course and prognosis of COVID-19 disease in male patients: A prospective study.血清睾酮水平与男性 COVID-19 患者临床病程和预后的关系:一项前瞻性研究。
Andrology. 2022 Jan;10(1):24-33. doi: 10.1111/andr.13081. Epub 2021 Aug 2.
6
Predicting patients with false negative SARS-CoV-2 testing at hospital admission: A retrospective multi-center study.预测入院时 SARS-CoV-2 检测假阴性的患者:一项回顾性多中心研究。
PLoS One. 2021 May 12;16(5):e0251376. doi: 10.1371/journal.pone.0251376. eCollection 2021.
7
Sociodemographic, clinical, and immunological factors associated with SARS-CoV-2 diagnosis and severe COVID-19 outcomes in people living with HIV: a retrospective cohort study.与 HIV 感染者 SARS-CoV-2 诊断和重症 COVID-19 结局相关的社会人口学、临床和免疫学因素:一项回顾性队列研究。
Lancet HIV. 2021 Nov;8(11):e701-e710. doi: 10.1016/S2352-3018(21)00240-X. Epub 2021 Oct 13.
8
Estimating COVID-19 Infection and Severity Risks in Patients with Chronic Rhinosinusitis: A Korean Nationwide Cohort Study.估算慢性鼻-鼻窦炎患者感染 COVID-19 及严重程度的风险:一项韩国全国性队列研究。
J Allergy Clin Immunol Pract. 2021 Jun;9(6):2262-2271.e2. doi: 10.1016/j.jaip.2021.03.044. Epub 2021 Apr 28.
9
An online tool for predicting the prognosis of cancer patients with SARS-CoV-2 infection: a multi-center study.一种用于预测 SARS-CoV-2 感染癌症患者预后的在线工具:一项多中心研究。
J Cancer Res Clin Oncol. 2021 Apr;147(4):1247-1257. doi: 10.1007/s00432-020-03420-6. Epub 2020 Oct 11.
10
Non-alcoholic Fatty Liver Disease and COVID-19 Susceptibility and Outcomes: a Korean Nationwide Cohort.非酒精性脂肪性肝病与 COVID-19 易感性和结局:一项韩国全国队列研究。
J Korean Med Sci. 2021 Oct 25;36(41):e291. doi: 10.3346/jkms.2021.36.e291.

引用本文的文献

1
Effect of the COVID-19 pandemic on the mental health, daily and occupational activities among health professionals in Colombia: a national study.COVID-19 大流行对哥伦比亚卫生专业人员心理健康、日常和职业活动的影响:一项全国性研究。
BMC Psychiatry. 2022 Nov 4;22(1):682. doi: 10.1186/s12888-022-04337-9.
2
Untargeted saliva metabolomics by liquid chromatography-Mass spectrometry reveals markers of COVID-19 severity.基于液相色谱-质谱联用的非靶向唾液代谢组学分析发现 COVID-19 严重程度的标志物。
PLoS One. 2022 Sep 22;17(9):e0274967. doi: 10.1371/journal.pone.0274967. eCollection 2022.
3
Sex-specific treatment characteristics and 30-day mortality outcomes of critically ill COVID-19 patients over 70 years of age-results from the prospective COVIP study.COVID-19 危重症患者 70 岁以上人群的性别特异性治疗特征和 30 天死亡率结果-来自前瞻性 COVIP 研究。
Can J Anaesth. 2022 Nov;69(11):1390-1398. doi: 10.1007/s12630-022-02304-2. Epub 2022 Aug 9.
4
Anti-SARS-CoV-2 Titers Predict the Severity of COVID-19.抗 SARS-CoV-2 滴度预测 COVID-19 的严重程度。
Viruses. 2022 May 18;14(5):1089. doi: 10.3390/v14051089.
5
Systematic review with meta-analysis of diagnostic test accuracy for COVID-19 by mass spectrometry.基于质谱技术的 COVID-19 诊断检测准确性的系统评价与荟萃分析。
Metabolism. 2022 Jan;126:154922. doi: 10.1016/j.metabol.2021.154922. Epub 2021 Oct 27.

本文引用的文献

1
Identification and validation of clinical phenotypes with prognostic implications in patients admitted to hospital with COVID-19: a multicentre cohort study.2019冠状病毒病(COVID-19)住院患者中具有预后意义的临床表型的识别与验证:一项多中心队列研究
Lancet Infect Dis. 2021 Jun;21(6):783-792. doi: 10.1016/S1473-3099(21)00019-0. Epub 2021 Feb 23.
2
Association of Intensive Care Unit Patient Load and Demand With Mortality Rates in US Department of Veterans Affairs Hospitals During the COVID-19 Pandemic.在 COVID-19 大流行期间,美国退伍军人事务部医院 ICU 患者负担和需求与死亡率的关联。
JAMA Netw Open. 2021 Jan 4;4(1):e2034266. doi: 10.1001/jamanetworkopen.2020.34266.
3
New variant of SARS-CoV-2 in UK causes surge of COVID-19.英国出现的新冠病毒新变种导致新冠肺炎病例激增。
Lancet Respir Med. 2021 Feb;9(2):e20-e21. doi: 10.1016/S2213-2600(21)00005-9. Epub 2021 Jan 5.
4
Identification of Distinct Immunophenotypes in Critically Ill Coronavirus Disease 2019 Patients.危重症 2019 冠状病毒病患者中 distinct immunophenotypes 的鉴定。
Chest. 2021 May;159(5):1884-1893. doi: 10.1016/j.chest.2020.11.049. Epub 2020 Dec 11.
5
Clinical characteristics and day-90 outcomes of 4244 critically ill adults with COVID-19: a prospective cohort study.4244 例危重症 COVID-19 成年患者的临床特征和第 90 天结局:一项前瞻性队列研究。
Intensive Care Med. 2021 Jan;47(1):60-73. doi: 10.1007/s00134-020-06294-x. Epub 2020 Oct 29.
6
Increased mortality in patients with severe SARS-CoV-2 infection admitted within seven days of disease onset.发病七天内住院的严重 SARS-CoV-2 感染患者死亡率增加。
Intensive Care Med. 2020 Sep;46(9):1714-1722. doi: 10.1007/s00134-020-06202-3. Epub 2020 Aug 11.
7
Genomewide Association Study of Severe Covid-19 with Respiratory Failure.全基因组关联研究严重新冠肺炎伴呼吸衰竭。
N Engl J Med. 2020 Oct 15;383(16):1522-1534. doi: 10.1056/NEJMoa2020283. Epub 2020 Jun 17.
8
Estimating the burden of SARS-CoV-2 in France.估算法国 SARS-CoV-2 的负担。
Science. 2020 Jul 10;369(6500):208-211. doi: 10.1126/science.abc3517. Epub 2020 May 13.
9
Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness.机器学习和人工智能研究如何造福患者:透明度、可重复性、伦理和有效性方面的 20 个关键问题。
BMJ. 2020 Mar 20;368:l6927. doi: 10.1136/bmj.l6927.
10
Calibration of risk prediction models: impact on decision-analytic performance.风险预测模型的校准:对决策分析性能的影响。
Med Decis Making. 2015 Feb;35(2):162-9. doi: 10.1177/0272989X14547233. Epub 2014 Aug 25.

Anticipating outcomes for patients with COVID-19 and identifying prognosis patterns.

作者信息

Darmon Michael, Dumas Guillaume

机构信息

APHP, Service de médecine intensive et de réanimation, Hôpital Saint-Louis, 75010 Paris, France; Université de Paris, ECSTRA team, UMR 1153, Center of Epidemiology and Biostatistics, INSERM, Paris, France.

APHP, Service de médecine intensive et de réanimation, Hôpital Saint-Louis, 75010 Paris, France; Université de Paris, ECSTRA team, UMR 1153, Center of Epidemiology and Biostatistics, INSERM, Paris, France.

出版信息

Lancet Infect Dis. 2021 Jun;21(6):744-745. doi: 10.1016/S1473-3099(21)00073-6. Epub 2021 Feb 23.

DOI:10.1016/S1473-3099(21)00073-6
PMID:33636149
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7906629/
Abstract
摘要