• 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-19 重症住院患者的临床特征和危险因素:中国的一项回顾性研究。

Clinical features and risk factors for severe inpatients with COVID-19: A retrospective study in China.

机构信息

Department of Education Administration, Beijing University of Chinese Medicine, Beijing, China.

Department of Scientific Research, Beijing University of Chinese Medicine, Beijing, China.

出版信息

PLoS One. 2020 Dec 17;15(12):e0244125. doi: 10.1371/journal.pone.0244125. eCollection 2020.

DOI:10.1371/journal.pone.0244125
PMID:33332437
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7745975/
Abstract

BACKGROUND

A worldwide outbreak of coronavirus disease (COVID-19), since 2019, has brought a disaster to people all over the world. Many researchers carried out clinical epidemiological studies on patients with COVID-19 previously, but risk factors for patients with different levels of severity are still unclear.

METHODS

562 patients with laboratory-confirmed COVID-19 from 12 hospitals in China were included in this retrospective study. Related clinical information, therapies, and imaging data were extracted from electronic medical records and compared between patients with severe and non-severe status. We explored the risk factors associated with different severity of COVID-19 patients by logistic regression methods.

RESULTS

Based on the guideline we cited, 509 patients were classified as non-severe and 53 were severe. The age range of whom was 5-87 years, with a median age of 47 (IQR 35.0-57.0). And the elderly patients (older than 60 years old) in non-severe group were more likely to suffer from fever and asthma, accompanied by higher level of D-dimer, red blood cell distribution width and low-density lipoprotein. Furthermore, we found that the liver and kidney function of male patients was worse than that of female patients in both severe and non-severe groups with different age levels, while the severe females had faster ESR and lower inflammatory markers. Of major laboratory markers in non-severe cases, baseline albumin and the lymphocyte percentage were higher, while the white blood cell and the neutrophil count were lower. In addition, severe patients were more likely to be accompanied by an increase in cystatin C, mean hemoglobin level and a decrease in oxygen saturation. Besides that, advanced age and indicators such as count of white blood cell, glucose were proved to be the most common risk factors preventing COVID-19 patients from aggravating.

CONCLUSION

The potential risk factors found in our study have shown great significance to prevent COVID-19 patients from aggravating and turning to critical cases during treatment. Meanwhile, focusing on gender and age factors in groups with different severity of COVID-19, and paying more attention to specific clinical symptoms and characteristics, could improve efficacy of personalized intervention to treat COVID-19 effectively.

摘要

背景

自 2019 年以来,一场全球性的冠状病毒病(COVID-19)爆发给全世界人民带来了灾难。此前,许多研究人员对 COVID-19 患者进行了临床流行病学研究,但不同严重程度患者的危险因素仍不清楚。

方法

本回顾性研究纳入了来自中国 12 家医院的 562 例实验室确诊的 COVID-19 患者。从电子病历中提取相关临床信息、治疗和影像学数据,并比较严重和非严重状态患者之间的差异。我们通过逻辑回归方法探讨了与 COVID-19 患者不同严重程度相关的危险因素。

结果

根据我们引用的指南,509 例患者被分类为非严重,53 例为严重。年龄范围为 5-87 岁,中位数年龄为 47(IQR 35.0-57.0)。非严重组中年龄较大(>60 岁)的患者更易出现发热和哮喘,且 D-二聚体、红细胞分布宽度和低密度脂蛋白水平较高。此外,我们发现,无论年龄大小,非严重组中男性患者的肝肾功能均较女性患者差,而严重组中女性患者的 ESR 更快,炎症标志物水平更低。非严重组中主要实验室标志物的基线白蛋白和淋巴细胞百分比较高,而白细胞和中性粒细胞计数较低。此外,严重患者更易出现胱抑素 C、平均血红蛋白水平升高和氧饱和度降低。此外,高龄和白细胞计数等指标被证明是预防 COVID-19 患者病情加重的最常见危险因素。

结论

本研究发现的潜在危险因素对治疗过程中预防 COVID-19 患者病情加重和转为危重症具有重要意义。同时,关注不同严重程度 COVID-19 患者的性别和年龄因素,并关注特定的临床症状和特征,可提高个性化干预治疗 COVID-19 的疗效。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c50d/7745975/6d6f70060e14/pone.0244125.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c50d/7745975/6d6f70060e14/pone.0244125.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c50d/7745975/6d6f70060e14/pone.0244125.g001.jpg

相似文献

1
Clinical features and risk factors for severe inpatients with COVID-19: A retrospective study in China.COVID-19 重症住院患者的临床特征和危险因素:中国的一项回顾性研究。
PLoS One. 2020 Dec 17;15(12):e0244125. doi: 10.1371/journal.pone.0244125. eCollection 2020.
2
Factors Associated with a Positive Severe Acute Respiratory Syndrome Coronavirus 2 Testing in Suspected Cases Presenting with Pneumonia: A Retrospective Cohort Study in a Single Medical Center.与疑似肺炎患者 SARS-CoV-2 检测呈阳性相关的因素:单中心回顾性队列研究。
Respiration. 2020;99(9):739-747. doi: 10.1159/000508398. Epub 2020 Nov 18.
3
Temporal changes in laboratory markers of survivors and non-survivors of adult inpatients with COVID-19.COVID-19 成年住院患者幸存者和非幸存者实验室标志物的时间变化。
BMC Infect Dis. 2020 Dec 11;20(1):952. doi: 10.1186/s12879-020-05678-0.
4
The clinical implication of dynamic neutrophil to lymphocyte ratio and D-dimer in COVID-19: A retrospective study in Suzhou China.新冠肺炎患者中性粒细胞与淋巴细胞比值和 D-二聚体的临床意义:中国苏州的一项回顾性研究。
Thromb Res. 2020 Aug;192:3-8. doi: 10.1016/j.thromres.2020.05.006. Epub 2020 May 6.
5
Clinical Characteristics of Patients with Severe Pneumonia Caused by the SARS-CoV-2 in Wuhan, China.中国武汉严重肺炎患者的临床特征。
Respiration. 2020;99(8):649-657. doi: 10.1159/000507940. Epub 2020 Aug 25.
6
Analysis of factors for disease progression in 61 patients with COVID-19 in Xiaogan, Hubei, China.中国湖北孝感 61 例 COVID-19 患者疾病进展的因素分析。
Eur Rev Med Pharmacol Sci. 2020 Dec;24(23):12490-12499. doi: 10.26355/eurrev_202012_24045.
7
Predictive role of clinical features in patients with coronavirus disease 2019 for severe disease.2019冠状病毒病患者临床特征对重症疾病的预测作用
Zhong Nan Da Xue Xue Bao Yi Xue Ban. 2020 May 28;45(5):536-541. doi: 10.11817/j.issn.1672-7347.2020.200384.
8
What Is the Impact of Baseline Inflammatory and Hemostatic Indicators with the Risk of Mortality in Severe Inpatients with COVID-19: A Retrospective Study.基线炎症和止血指标对 COVID-19 重症住院患者死亡率的影响:一项回顾性研究。
Clin Appl Thromb Hemost. 2024 Jan-Dec;30:10760296241255959. doi: 10.1177/10760296241255959.
9
Analysis of Risk Factors for Thromboembolic Events in 88 Patients with COVID-19 Pneumonia in Wuhan, China: A Retrospective Descriptive Report.中国武汉 88 例新冠肺炎肺炎患者血栓栓塞事件危险因素分析:回顾性描述性报告。
Med Sci Monit. 2021 Apr 11;27:e929708. doi: 10.12659/MSM.929708.
10
The value of clinical parameters in predicting the severity of COVID-19.临床参数在预测 COVID-19 严重程度中的价值。
J Med Virol. 2020 Oct;92(10):2188-2192. doi: 10.1002/jmv.26031. Epub 2020 Jun 2.

引用本文的文献

1
Mental Wellbeing and Resilience in Suicide Prevention Crisis Line Volunteers.自杀预防危机热线志愿者的心理健康与心理韧性
Community Ment Health J. 2023 Nov;59(8):1562-1567. doi: 10.1007/s10597-023-01143-9. Epub 2023 May 31.
2
Role of cystatin C and calprotectin as potential early prognostic biomarkers in COVID-19 patients admitted to a dedicated COVID care facility.胱抑素C和钙卫蛋白作为入住专门新冠护理机构的新冠患者潜在早期预后生物标志物的作用。
J Family Med Prim Care. 2022 Jul;11(7):3971-3979. doi: 10.4103/jfmpc.jfmpc_545_22. Epub 2022 Jul 22.
3
Prognostic Performance of Cystatin C in COVID-19: A Systematic Review and Meta-Analysis.

本文引用的文献

1
Cardiovascular disease as a biomarker for an increased risk of COVID-19 infection and related poor prognosis.心血管疾病作为新冠病毒感染风险增加及相关不良预后的生物标志物。
Biomark Med. 2020 Jun;14(9):713-716. doi: 10.2217/bmm-2020-0201. Epub 2020 May 19.
2
Age-Dependent Risks of Incidence and Mortality of COVID-19 in Hubei Province and Other Parts of China.中国湖北省及其他地区新冠肺炎发病与死亡的年龄依赖性风险
Front Med (Lausanne). 2020 Apr 30;7:190. doi: 10.3389/fmed.2020.00190. eCollection 2020.
3
Reflection on lower rates of COVID-19 in children: Does childhood immunizations offer unexpected protection?
胱抑素 C 对 COVID-19 预后评估的价值:系统评价和荟萃分析。
Int J Environ Res Public Health. 2022 Nov 7;19(21):14607. doi: 10.3390/ijerph192114607.
4
Heterogeneity and Risk of Bias in Studies Examining Risk Factors for Severe Illness and Death in COVID-19: A Systematic Review and Meta-Analysis.研究2019冠状病毒病重症和死亡风险因素的研究中的异质性和偏倚风险:一项系统评价和荟萃分析
Pathogens. 2022 May 10;11(5):563. doi: 10.3390/pathogens11050563.
5
Serum hydroxybutyrate dehydrogenase and COVID-19 severity and mortality: a systematic review and meta-analysis with meta-regression.血清羟基丁酸脱氢酶与 COVID-19 严重程度和死亡率的关系:系统评价和荟萃分析及荟萃回归。
Clin Exp Med. 2022 Nov;22(4):499-508. doi: 10.1007/s10238-021-00777-x. Epub 2021 Nov 19.
6
Risk Factors of In-Hospital Mortality in Non-Specialized Tertiary Center Repurposed for Medical Care to COVID-19 Patients in Russia.俄罗斯将非专科三级医疗中心改造用于治疗新冠患者时院内死亡的危险因素
Diagnostics (Basel). 2021 Sep 15;11(9):1687. doi: 10.3390/diagnostics11091687.
7
Chronic Diseases as a Predictor for Severity and Mortality of COVID-19: A Systematic Review With Cumulative Meta-Analysis.慢性病作为新冠病毒疾病严重程度和死亡率的预测指标:一项累积荟萃分析的系统评价
Front Med (Lausanne). 2021 Sep 1;8:588013. doi: 10.3389/fmed.2021.588013. eCollection 2021.
8
Asthma and COVID-19 risk: a systematic review and meta-analysis.哮喘与 COVID-19 风险:系统评价和荟萃分析。
Eur Respir J. 2022 Mar 31;59(3). doi: 10.1183/13993003.01209-2021. Print 2022 Mar.
9
Asthma in Adult Patients with COVID-19. Prevalence and Risk of Severe Disease.成人 COVID-19 患者中的哮喘。患病率和严重疾病风险。
Am J Respir Crit Care Med. 2021 Apr 1;203(7):893-905. doi: 10.1164/rccm.202008-3266OC.
对儿童 COVID-19 发病率较低的反思:儿童免疫接种是否提供了意外的保护?
Med Hypotheses. 2020 Oct;143:109842. doi: 10.1016/j.mehy.2020.109842. Epub 2020 May 15.
4
Epidemiological, clinical, and virological characteristics of 465 hospitalized cases of coronavirus disease 2019 (COVID-19) from Zhejiang province in China.中国浙江省 465 例新冠肺炎(COVID-19)住院病例的流行病学、临床和病毒学特征。
Influenza Other Respir Viruses. 2020 Sep;14(5):564-574. doi: 10.1111/irv.12758. Epub 2020 May 19.
5
The importance of hypertension as a risk factor for severe illness and mortality in COVID-19.高血压作为新冠病毒病严重疾病和死亡风险因素的重要性。
Anaesthesia. 2020 Jul;75(7):976-977. doi: 10.1111/anae.15103. Epub 2020 May 9.
6
Protecting older people from COVID-19: should the United Kingdom start at age 60?保护老年人免受新冠病毒感染:英国是否应从60岁开始?
J R Soc Med. 2020 May;113(5):169-170. doi: 10.1177/0141076820921107. Epub 2020 Apr 21.
7
Angiotensin-Converting Enzyme 2: SARS-CoV-2 Receptor and Regulator of the Renin-Angiotensin System: Celebrating the 20th Anniversary of the Discovery of ACE2.血管紧张素转换酶 2:SARS-CoV-2 受体和肾素-血管紧张素系统的调节剂:庆祝 ACE2 发现 20 周年。
Circ Res. 2020 May 8;126(10):1456-1474. doi: 10.1161/CIRCRESAHA.120.317015. Epub 2020 Apr 8.
8
Diabetes is a risk factor for the progression and prognosis of COVID-19.糖尿病是新冠病毒疾病(COVID-19)进展和预后的一个风险因素。
Diabetes Metab Res Rev. 2020 Oct;36(7):e3319. doi: 10.1002/dmrr.3319. Epub 2020 Apr 7.
9
Preparation for Possible Sustained Transmission of 2019 Novel Coronavirus: Lessons From Previous Epidemics.针对2019新型冠状病毒可能的持续传播做准备:既往疫情的教训
JAMA. 2020 Mar 24;323(12):1129-1130. doi: 10.1001/jama.2020.1960.
10
Functional exhaustion of antiviral lymphocytes in COVID-19 patients.新冠病毒肺炎患者抗病毒淋巴细胞的功能耗竭
Cell Mol Immunol. 2020 May;17(5):533-535. doi: 10.1038/s41423-020-0402-2. Epub 2020 Mar 19.