• 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
Risk factors for disease progression in hospitalized patients with COVID-19: a retrospective cohort study.COVID-19 住院患者疾病进展的风险因素:一项回顾性队列研究。
Infect Dis (Lond). 2020 Jul;52(7):498-505. doi: 10.1080/23744235.2020.1759817. Epub 2020 May 6.
2
Predictors of progression from moderate to severe coronavirus disease 2019: a retrospective cohort.从中度到重度 2019 冠状病毒病进展的预测因素:一项回顾性队列研究。
Clin Microbiol Infect. 2020 Oct;26(10):1400-1405. doi: 10.1016/j.cmi.2020.06.033. Epub 2020 Jul 2.
3
A Retrospective Study of the C-Reactive Protein to Lymphocyte Ratio and Disease Severity in 108 Patients with Early COVID-19 Pneumonia from January to March 2020 in Wuhan, China.回顾性研究 2020 年 1 月至 3 月中国武汉 108 例早期 COVID-19 肺炎患者 C 反应蛋白与淋巴细胞比值与疾病严重程度的关系
Med Sci Monit. 2020 Sep 11;26:e926393. doi: 10.12659/MSM.926393.
4
Factors associated with death outcome in patients with severe coronavirus disease-19 (COVID-19): a case-control study.与严重新型冠状病毒病(COVID-19)患者死亡结局相关的因素:病例对照研究。
Int J Med Sci. 2020 May 18;17(9):1281-1292. doi: 10.7150/ijms.46614. eCollection 2020.
5
Neutrophil to CD4+ lymphocyte ratio as a potential biomarker in predicting virus negative conversion time in COVID-19.中性粒细胞与 CD4+ 淋巴细胞比值作为预测 COVID-19 患者病毒阴转时间的潜在生物标志物。
Int Immunopharmacol. 2020 Aug;85:106683. doi: 10.1016/j.intimp.2020.106683. Epub 2020 Jun 6.
6
Clinical progression of patients with COVID-19 in Shanghai, China.中国上海 COVID-19 患者的临床进展。
J Infect. 2020 May;80(5):e1-e6. doi: 10.1016/j.jinf.2020.03.004. Epub 2020 Mar 19.
7
The timeline and risk factors of clinical progression of COVID-19 in Shenzhen, China.中国深圳 COVID-19 临床进展的时间线和风险因素。
J Transl Med. 2020 Jul 3;18(1):270. doi: 10.1186/s12967-020-02423-8.
8
Risk factors associated with disease progression in a cohort of patients infected with the 2019 novel coronavirus.2019新型冠状病毒感染患者队列中与疾病进展相关的危险因素。
Ann Palliat Med. 2020 Mar;9(2):428-436. doi: 10.21037/apm.2020.03.26. Epub 2020 Mar 17.
9
C-reactive protein correlates with computed tomographic findings and predicts severe COVID-19 early.C 反应蛋白与计算机断层扫描结果相关,可早期预测严重 COVID-19。
J Med Virol. 2020 Jul;92(7):856-862. doi: 10.1002/jmv.25871. Epub 2020 Apr 25.
10
Liver impairment in COVID-19 patients: A retrospective analysis of 115 cases from a single centre in Wuhan city, China.COVID-19 患者的肝损伤:来自中国武汉市单个中心的 115 例回顾性分析。
Liver Int. 2020 Sep;40(9):2095-2103. doi: 10.1111/liv.14455. Epub 2020 Apr 28.

引用本文的文献

1
Epidemiological and clinical characteristics of COVID-19 mortality: a retrospective study.新型冠状病毒肺炎死亡病例的流行病学及临床特征:一项回顾性研究
Front Med (Lausanne). 2025 Mar 10;12:1464274. doi: 10.3389/fmed.2025.1464274. eCollection 2025.
2
Cardiac arrhythmia in COVID-19 patients.COVID-19 患者的心律失常。
Ann Noninvasive Electrocardiol. 2024 Mar;29(2):e13105. doi: 10.1111/anec.13105.
3
Potential biomarkers for fatal outcome prognosis in a cohort of hospitalized COVID-19 patients with pre-existing comorbidities.住院 COVID-19 合并基础疾病患者队列中预示死亡结局的潜在生物标志物。
Clin Transl Sci. 2023 Dec;16(12):2687-2699. doi: 10.1111/cts.13663. Epub 2023 Nov 9.
4
Development and Validation of a Prediction Model of the Risk of Pneumonia in Patients with SARS-CoV-2 Infection.新型冠状病毒肺炎患者肺炎风险预测模型的建立与验证
Can J Infect Dis Med Microbiol. 2023 Jul 18;2023:6696048. doi: 10.1155/2023/6696048. eCollection 2023.
5
Stress, adversity quotient, and health behaviors of undergraduate students in a Thai university during COVID-19 outbreak.新冠疫情期间泰国一所大学本科生的压力、逆境商数与健康行为
Belitung Nurs J. 2021 Feb 22;7(1):1-7. doi: 10.33546/bnj.1276. eCollection 2021.
6
Prognostic factors for the severity of SARS-CoV-2 infection.新型冠状病毒2019感染严重程度的预后因素。
Adv Lab Med. 2021 Mar 3;2(2):253-265. doi: 10.1515/almed-2021-0017. eCollection 2021 May.
7
Effects of COVID-19 on Arrhythmia.新型冠状病毒肺炎对心律失常的影响。
J Cardiovasc Dev Dis. 2022 Sep 2;9(9):292. doi: 10.3390/jcdd9090292.
8
The Epidemiological, Clinical Features and Outcomes of Imported Chinese COVID-19 Patients Following Inactivated Vaccines Injection.中国输入性新冠病毒肺炎患者接种灭活疫苗后的流行病学、临床特征及转归
Infect Drug Resist. 2022 Apr 22;15:2115-2125. doi: 10.2147/IDR.S356460. eCollection 2022.
9
European Society of Cardiology guidance for the diagnosis and management of cardiovascular disease during the COVID-19 pandemic: part 1-epidemiology, pathophysiology, and diagnosis.欧洲心脏病学会在 COVID-19 大流行期间心血管疾病的诊断和管理指南:第 1 部分-流行病学、病理生理学和诊断。
Cardiovasc Res. 2022 May 6;118(6):1385-1412. doi: 10.1093/cvr/cvab342.
10
European Society of Cardiology guidance for the diagnosis and management of cardiovascular disease during the COVID-19 pandemic: part 1-epidemiology, pathophysiology, and diagnosis.欧洲心脏病学会在 COVID-19 大流行期间心血管疾病的诊断和管理指南:第 1 部分-流行病学、病理生理学和诊断。
Eur Heart J. 2022 Mar 14;43(11):1033-1058. doi: 10.1093/eurheartj/ehab696.

本文引用的文献

1
Duration of SARS-CoV-2 viral shedding during COVID-19 infection.新型冠状病毒肺炎(COVID-19)感染期间严重急性呼吸综合征冠状病毒2(SARS-CoV-2)病毒脱落的持续时间。
Infect Dis (Lond). 2020 Jul;52(7):511-512. doi: 10.1080/23744235.2020.1748705. Epub 2020 Apr 10.
2
Coronavirus disease 2019 in elderly patients: Characteristics and prognostic factors based on 4-week follow-up.2019 年冠状病毒病在老年患者中的特征和预后因素:基于 4 周随访的研究。
J Infect. 2020 Jun;80(6):639-645. doi: 10.1016/j.jinf.2020.03.019. Epub 2020 Mar 30.
3
Epidemiological and Clinical Predictors of COVID-19.新型冠状病毒肺炎的流行病学和临床预测因子。
Clin Infect Dis. 2020 Jul 28;71(15):786-792. doi: 10.1093/cid/ciaa322.
4
Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study.中国武汉成人 COVID-19 住院患者的临床病程和死亡危险因素:一项回顾性队列研究。
Lancet. 2020 Mar 28;395(10229):1054-1062. doi: 10.1016/S0140-6736(20)30566-3. Epub 2020 Mar 11.
5
Analysis of factors associated with disease outcomes in hospitalized patients with 2019 novel coronavirus disease.分析与 2019 年新型冠状病毒病住院患者疾病结局相关的因素。
Chin Med J (Engl). 2020 May 5;133(9):1032-1038. doi: 10.1097/CM9.0000000000000775.
6
Clinical characteristics of hospitalized patients with SARS-CoV-2 infection: A single arm meta-analysis.住院的 SARS-CoV-2 感染患者的临床特征:一项单臂荟萃分析。
J Med Virol. 2020 Jun;92(6):612-617. doi: 10.1002/jmv.25735. Epub 2020 Mar 11.
7
A systematic review of lopinavir therapy for SARS coronavirus and MERS coronavirus-A possible reference for coronavirus disease-19 treatment option.洛匹那韦疗法治疗严重急性呼吸综合征冠状病毒和中东呼吸综合征冠状病毒的系统评价——为新型冠状病毒病治疗方案提供参考。
J Med Virol. 2020 Jun;92(6):556-563. doi: 10.1002/jmv.25729. Epub 2020 Mar 12.
8
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.
9
Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China.《武汉 2019 年新型冠状病毒感染的肺炎 138 例住院患者临床特征分析》
JAMA. 2020 Mar 17;323(11):1061-1069. doi: 10.1001/jama.2020.1585.
10
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.

COVID-19 住院患者疾病进展的风险因素:一项回顾性队列研究。

Risk factors for disease progression in hospitalized patients with COVID-19: a retrospective cohort study.

机构信息

Beijing YouAn Hospital, Capital Medical University, Beijing, China.

出版信息

Infect Dis (Lond). 2020 Jul;52(7):498-505. doi: 10.1080/23744235.2020.1759817. Epub 2020 May 6.

DOI:10.1080/23744235.2020.1759817
PMID:32370577
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7212540/
Abstract

To investigate the risk factors related to aggravation and clinical outcomes in coronavirus disease 2019 (COVID-19) patients. We performed a retrospective study on the risk factors for disease progression of cases with COVID-19. Based on the clinical types, the patients were divided into a progression group and an improvement group. Multivariable logistic regression and ROC curve analysis were performed to explore the risk factors for disease progression. A total of 101 patients were included in this study; diseases progression occurred in 17 patients, 84 patients improved, 6 were transferred to intensive care unit (ICU), and 5 died. The mean time to obtain negative nucleic acid results was 12.5 ± 5.0 days. Multivariate logistic analysis indicated that age (OR, 0.104;  = .002), C-reactive protein (CRP) (OR, 0.093; .001) and lymphocyte count (OR, 3.397;  = .022) were risk factors for disease progression. ROC curve analysis revealed that the AUC of age, CRP and lymphocyte count for disease progression were 0.873, 0.911 and 0.817, respectively. Older age increased CRP and decreased lymphocyte count resulted in potential risk factors for COVID-19 progression. This may be helpful in identifying patients whose condition worsens at an early stage.

摘要

目的

探讨 2019 冠状病毒病(COVID-19)患者病情加重的相关危险因素和临床转归。方法:对 COVID-19 患者的疾病进展危险因素进行回顾性研究。根据临床类型,将患者分为进展组和改善组。采用多变量逻辑回归和 ROC 曲线分析探讨疾病进展的危险因素。结果:本研究共纳入 101 例患者;17 例患者病情进展,84 例患者好转,6 例转入重症监护病房(ICU),5 例死亡。获得阴性核酸结果的平均时间为 12.5±5.0 天。多变量逻辑分析表明,年龄(OR,0.104; = .002)、C 反应蛋白(CRP)(OR,0.093;.001)和淋巴细胞计数(OR,3.397;  = .022)是疾病进展的危险因素。ROC 曲线分析显示,年龄、CRP 和淋巴细胞计数对疾病进展的 AUC 分别为 0.873、0.911 和 0.817。年龄越大,CRP 升高,淋巴细胞计数降低,可能是 COVID-19 进展的潜在危险因素。这可能有助于在早期识别病情恶化的患者。