• 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

北京新冠肺炎确诊患者的临床特征

Clinical characteristics of patients diagnosed with COVID-19 in Beijing.

作者信息

Jin Aihua, Yan Benyong, Hua Wei, Feng Dandan, Xu Bin, Liang Lianchun, Guo Caiping

机构信息

C8 Ward, Infection Center, Beijing You'an Hospital, Capital Medical University, Beijing 100069, China.

出版信息

Biosaf Health. 2020 Jun;2(2):104-111. doi: 10.1016/j.bsheal.2020.05.003. Epub 2020 May 12.

DOI:10.1016/j.bsheal.2020.05.003
PMID:32835210
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7217107/
Abstract

This study aimed to determine the clinical characteristics of patients diagnosed with the coronavirus disease 2019 (COVID-19). Clinical data of COVID-19 patients diagnosed between January 28, 2020 and February 23, 2020 at the Beijing You'an Hospital were summarized and analyzed. Overall, 45 (18 men and 27 women) patients were included in this study. The average age of patients was 58 years (range, 7-94 years). Furthermore, 21 patients (47%) experienced underlying chronic diseases, with another four patients (9%) having three or more chronic diseases simultaneously. The first symptoms appeared at the onset of illness onset include fever in 36 patients (80%), cough in 23 patients (51%), and expectoration in 15 patients (33%), respectively. Patients may experience hepatic and renal injury as well as abnormal myocardial enzymes in varying degrees. Senior patients (≥58) and accompanying chronic diseases were considered as independent predictors for developing a severe and critically ill population with increased mortality. Laboratory results regarding the NEU percentage, NLR, ALC, and C-reactive protein levels were considered significant in predicting clinically critical disease or for prognosis assessment and thus require further studies. COVID-19 may affect multiple organs of the human body. Glucocorticoid is considered effective in the treatment of patients diagnosed with severe COVID-19.

摘要

本研究旨在确定2019冠状病毒病(COVID-19)确诊患者的临床特征。对2020年1月28日至2020年2月23日在北京佑安医院确诊的COVID-19患者的临床资料进行了总结和分析。本研究共纳入45例患者(18例男性和27例女性)。患者的平均年龄为58岁(范围为7至94岁)。此外,21例患者(47%)患有基础慢性病,另有4例患者(9%)同时患有三种或更多慢性病。发病初期出现的首发症状分别为发热36例(80%)、咳嗽23例(51%)、咳痰15例(33%)。患者可能会出现不同程度的肝肾功能损伤以及心肌酶异常。老年患者(≥58岁)和伴有慢性病被认为是发展为重症和危重症人群、死亡率增加的独立预测因素。关于中性粒细胞百分比、中性粒细胞与淋巴细胞比值、淋巴细胞绝对值和C反应蛋白水平的实验室结果在预测临床危重病或评估预后方面具有重要意义,因此需要进一步研究。COVID-19可能会影响人体的多个器官。糖皮质激素被认为对确诊为重症COVID-19的患者治疗有效。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d625/7217107/fe402ec58f88/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d625/7217107/3c533d24b9b0/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d625/7217107/89180cd9f653/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d625/7217107/fe402ec58f88/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d625/7217107/3c533d24b9b0/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d625/7217107/89180cd9f653/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d625/7217107/fe402ec58f88/gr3.jpg

相似文献

1
Clinical characteristics of patients diagnosed with COVID-19 in Beijing.北京新冠肺炎确诊患者的临床特征
Biosaf Health. 2020 Jun;2(2):104-111. doi: 10.1016/j.bsheal.2020.05.003. Epub 2020 May 12.
2
Epidemiological and clinical characteristics of COVID-19 patients in Hengyang, Hunan Province, China.中国湖南省衡阳市新冠肺炎患者的流行病学和临床特征
World J Clin Cases. 2020 Jun 26;8(12):2554-2565. doi: 10.12998/wjcc.v8.i12.2554.

引用本文的文献

1
Cayley-Purser secured communication and jackknife correlative classification for COVID patient data analysis.凯利-珀泽尔为新冠患者数据分析确保通信安全并采用折刀相关分类法。
Sci Rep. 2025 Feb 7;15(1):4666. doi: 10.1038/s41598-025-88105-1.
2
The Impact of Vaccination on COVID-19 Outcomes in Vietnam.疫苗接种对越南新冠疫情结局的影响
Diagnostics (Basel). 2024 Dec 18;14(24):2850. doi: 10.3390/diagnostics14242850.
3
Immunological and biochemical biomarker alterations among SARS-COV-2 patients with varying disease phenotypes in Uganda.乌干达不同疾病表型的 SARS-COV-2 患者的免疫和生化生物标志物改变。
BMC Infect Dis. 2023 Dec 6;23(1):857. doi: 10.1186/s12879-023-08854-0.
4
Clinical Characteristics of 6102 Asymptomatic and Mild Cases for Patients with COVID-19 in Indonesia.印度尼西亚6102例新冠肺炎无症状和轻症患者的临床特征
Pathophysiology. 2023 Aug 4;30(3):366-376. doi: 10.3390/pathophysiology30030028.
5
Remote Monitoring of COVID-19 Patients Using Multisensor Body Area Network Innovative System.使用多传感器体域网创新系统对 COVID-19 患者进行远程监测。
Comput Intell Neurosci. 2022 Sep 15;2022:9879259. doi: 10.1155/2022/9879259. eCollection 2022.
6
Serum soluble Fas ligand is a severity and mortality prognostic marker for COVID-19 patients.血清可溶性 Fas 配体是 COVID-19 患者严重程度和死亡率的预后标志物。
Front Immunol. 2022 Aug 31;13:947401. doi: 10.3389/fimmu.2022.947401. eCollection 2022.
7
Predictive Value of Systemic Immune-Inflammation index and Neutrophil-to-Lymphocyte Ratio in Patients with Severe COVID-19.全身免疫炎症指数和中性粒细胞与淋巴细胞比值对重症 COVID-19 患者的预测价值。
Clin Appl Thromb Hemost. 2022 Jan-Dec;28:10760296221111391. doi: 10.1177/10760296221111391.
8
Integrated analysis of gut microbiome and host immune responses in COVID-19.COVID-19 中肠道微生物组和宿主免疫反应的综合分析。
Front Med. 2022 Apr;16(2):263-275. doi: 10.1007/s11684-022-0921-6. Epub 2022 Mar 8.
9
Analysis of Clinical Characteristics and Virus Strains Variation of Patients Infected With SARS-CoV-2 in Jiangsu Province-A Retrospective Study.江苏省感染 SARS-CoV-2 患者的临床特征和病毒株变异分析——一项回顾性研究。
Front Public Health. 2021 Dec 24;9:791600. doi: 10.3389/fpubh.2021.791600. eCollection 2021.
10
SERS-PCR assays of SARS-CoV-2 target genes using Au nanoparticles-internalized Au nanodimple substrates.使用内吞 Au 纳米颗粒的 Au 纳米坑底物的 SARS-CoV-2 靶基因 SERS-PCR 检测。
Biosens Bioelectron. 2022 Feb 1;197:113736. doi: 10.1016/j.bios.2021.113736. Epub 2021 Oct 31.

本文引用的文献

1
Comorbidity and its impact on 1590 patients with COVID-19 in China: a nationwide analysis.中国 COVID-19 患者 1590 例的合并症及其影响:一项全国性分析。
Eur Respir J. 2020 May 14;55(5). doi: 10.1183/13993003.00547-2020. Print 2020 May.
2
The species Severe acute respiratory syndrome-related coronavirus: classifying 2019-nCoV and naming it SARS-CoV-2.严重急性呼吸综合征相关冠状病毒:将 2019-nCoV 进行分类并命名为 SARS-CoV-2。
Nat Microbiol. 2020 Apr;5(4):536-544. doi: 10.1038/s41564-020-0695-z. Epub 2020 Mar 2.
3
Pathological findings of COVID-19 associated with acute respiratory distress syndrome.
与急性呼吸窘迫综合征相关的新型冠状病毒肺炎的病理表现
Lancet Respir Med. 2020 Apr;8(4):420-422. doi: 10.1016/S2213-2600(20)30076-X. Epub 2020 Feb 18.
4
Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study.中国武汉 99 例 2019 年新型冠状病毒肺炎患者的流行病学和临床特征:描述性研究。
Lancet. 2020 Feb 15;395(10223):507-513. doi: 10.1016/S0140-6736(20)30211-7. Epub 2020 Jan 30.
5
Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China.中国武汉地区 2019 年新型冠状病毒感染患者的临床特征。
Lancet. 2020 Feb 15;395(10223):497-506. doi: 10.1016/S0140-6736(20)30183-5. Epub 2020 Jan 24.