• 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
Evaluation of the Charlson Comorbidity Index and Laboratory Parameters as Independent Early Mortality Predictors in Covid 19 Patients.评估Charlson合并症指数和实验室参数作为新冠病毒19患者早期死亡率的独立预测指标
Int J Gen Med. 2022 Jul 27;15:6301-6307. doi: 10.2147/IJGM.S374246. eCollection 2022.
2
Poor Prognostic Biochemical Markers Predicting Fatalities Caused by COVID-19: A Retrospective Observational Study From a Developing Country.预测新冠病毒疾病所致死亡的不良预后生化标志物:一项来自发展中国家的回顾性观察研究
Cureus. 2020 Aug 5;12(8):e9575. doi: 10.7759/cureus.9575.
3
Evaluation of clinically relevant serum proteins as biomarkers for monitoring COVID-19 severity, and end-organ damage among hospitalized unvaccinated patients.评估临床相关血清蛋白作为监测 COVID-19 严重程度和住院未接种疫苗患者靶器官损伤的生物标志物。
BMC Infect Dis. 2024 Feb 20;24(1):231. doi: 10.1186/s12879-024-09113-6.
4
Routine laboratory parameters in estimating mortality and morbidity in COVID-19 diagnosed cases followed in the intensive care unit.在重症监护病房中对 COVID-19 确诊病例进行死亡率和发病率评估时的常规实验室参数。
Eur Rev Med Pharmacol Sci. 2023 Jun;27(12):5885-5892. doi: 10.26355/eurrev_202306_32828.
5
The predictive and prognostic role of hematologic and biochemical parameters in the emergency department among coronavirus disease 2019 patients.血液学和生化学参数在 2019 年冠状病毒病患者急诊科的预测和预后作用。
Chin J Physiol. 2021 Nov-Dec;64(6):306-311. doi: 10.4103/cjp.cjp_77_21.
6
Mortality Prediction of COVID-19 Patients at Intensive Care Unit Admission.新冠病毒疾病(COVID-19)患者入住重症监护病房时的死亡率预测
Cureus. 2021 Nov 18;13(11):e19690. doi: 10.7759/cureus.19690. eCollection 2021 Nov.
7
Sex differences in determinants of COVID-19 severe outcomes - findings from the National COVID Cohort Collaborative (N3C).COVID-19 严重结局决定因素中的性别差异 - 来自国家 COVID 队列协作(N3C)的研究结果。
BMC Infect Dis. 2022 Oct 12;22(1):784. doi: 10.1186/s12879-022-07776-7.
8
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.
9
Risk factors for infection and mortality among hemodialysis patients during COVID-19 pandemic.COVID-19 大流行期间血液透析患者感染和死亡的危险因素。
Int Urol Nephrol. 2022 Mar;54(3):661-669. doi: 10.1007/s11255-021-02926-3. Epub 2021 Jul 5.
10
SARS-CoV-2 Infection-Dependent Modulation in Vital Components of the Serum Profile of Severely SARS-CoV-2 Infected Patients.严重感染SARS-CoV-2患者血清谱关键成分中SARS-CoV-2感染依赖性调节
Infect Drug Resist. 2024 Apr 29;17:1653-1667. doi: 10.2147/IDR.S463238. eCollection 2024.

引用本文的文献

1
Predictors of Unfavorable Outcomes in COVID-19-Related Sepsis: A Prospective Cohort Study.新冠病毒相关脓毒症不良结局的预测因素:一项前瞻性队列研究。
Viruses. 2025 Mar 21;17(4):455. doi: 10.3390/v17040455.
2
Tracing In-Hospital COVID-19 Outcomes: A Multistate Model Exploration (TRACE).追踪医院内新冠病毒感染的结果:多州模型探索(TRACE)
Life (Basel). 2024 Sep 21;14(9):1195. doi: 10.3390/life14091195.
3
Comparative study of the severity of Covid-19 infection between female and male patients.新冠病毒感染女性与男性患者严重程度的比较研究。
Niger Med J. 2024 Apr 21;65(1):56-66. doi: 10.60787/nmj-v65i1-451. eCollection 2024 Jan-Feb.
4
Serum butyrylcholinesterase as a marker of COVID-19 mortality: Results of the monocentric prospective observational study.血清丁酰胆碱酯酶作为 COVID-19 死亡率的标志物:一项单中心前瞻性观察研究的结果。
Chem Biol Interact. 2023 Aug 25;381:110557. doi: 10.1016/j.cbi.2023.110557. Epub 2023 May 19.
5
Cytokine Levels and Severity of Illness Scoring Systems to Predict Mortality in COVID-19 Infection.用于预测新冠病毒感染死亡率的细胞因子水平及疾病严重程度评分系统
Healthcare (Basel). 2023 Jan 29;11(3):387. doi: 10.3390/healthcare11030387.

本文引用的文献

1
Elevated Liver Enzymes along with Comorbidity Is a High Risk Factor for COVID-19 Mortality: A South Indian Study on 1,512 Patients.肝功能酶升高合并共病是COVID-19死亡的高风险因素:一项针对1512名患者的南印度研究
J Clin Transl Hepatol. 2022 Feb 28;10(1):120-127. doi: 10.14218/JCTH.2020.00100. Epub 2021 Jun 16.
2
Age-adjusted Charlson Comorbidity Index: A Simple Tool, but Needs Further Validation in COVID-19 Patients.年龄校正的查尔森合并症指数:一个简单的工具,但需要在新冠肺炎患者中进一步验证。
Indian J Crit Care Med. 2021 Sep;25(9):963-964. doi: 10.5005/jp-journals-10071-23973.
3
Clinical Spectrum of Severe Acute Respiratory Syndrome Coronavirus 2 Infection and Protection From Symptomatic Reinfection.严重急性呼吸综合征冠状病毒 2 感染的临床谱及对有症状再感染的保护作用。
Clin Infect Dis. 2022 Aug 24;75(1):e257-e266. doi: 10.1093/cid/ciab717.
4
Roles of certain biochemical and hematological parameters in predicting mortality and ICU admission in COVID-19 patients.某些生化和血液学参数在预测 COVID-19 患者死亡率和 ICU 入院率中的作用。
Rev Assoc Med Bras (1992). 2021 Jul 9;67Suppl 1(Suppl 1):67-73. doi: 10.1590/1806-9282.67.Suppl1.20200788. eCollection 2021.
5
Hematological profile and biochemical markers of COVID-19 non-survivors: A retrospective analysis.新型冠状病毒肺炎死亡患者的血液学特征和生化标志物:一项回顾性分析。
Clin Epidemiol Glob Health. 2021 Jul-Sep;11:100770. doi: 10.1016/j.cegh.2021.100770. Epub 2021 May 8.
6
Risk factors for predicting mortality of COVID-19 patients: A systematic review and meta-analysis.预测 COVID-19 患者死亡率的风险因素:系统评价和荟萃分析。
PLoS One. 2020 Nov 30;15(11):e0243124. doi: 10.1371/journal.pone.0243124. eCollection 2020.
7
Risk factors for severe and critically ill COVID-19 patients: A review.COVID-19 患者重症和危重症的危险因素:综述。
Allergy. 2021 Feb;76(2):428-455. doi: 10.1111/all.14657. Epub 2020 Dec 4.
8
Predictors of COVID-19 severity: a systematic review and meta-analysis.预测 COVID-19 严重程度的因素:系统评价和荟萃分析。
F1000Res. 2020 Sep 9;9:1107. doi: 10.12688/f1000research.26186.2. eCollection 2020.
9
Charlson comorbidity index and a composite of poor outcomes in COVID-19 patients: A systematic review and meta-analysis.新冠肺炎患者Charlson 共病指数与不良结局综合指标的系统评价和荟萃分析。
Diabetes Metab Syndr. 2020 Nov-Dec;14(6):2103-2109. doi: 10.1016/j.dsx.2020.10.022. Epub 2020 Oct 28.
10
Lymphopenia and neutrophilia at admission predicts severity and mortality in patients with COVID-19: a meta-analysis.入院时淋巴细胞减少和中性粒细胞增多可预测COVID-19患者的严重程度和死亡率:一项荟萃分析。
Acta Biomed. 2020 Sep 7;91(3):e2020008. doi: 10.23750/abm.v91i3.10217.

评估Charlson合并症指数和实验室参数作为新冠病毒19患者早期死亡率的独立预测指标

Evaluation of the Charlson Comorbidity Index and Laboratory Parameters as Independent Early Mortality Predictors in Covid 19 Patients.

作者信息

Cavuşoğlu Türker Betül, Türker Fatih, Ahbab Süleyman, Hoca Emre, Urvasızoğlu Ayşe Oznur, Cetin Seher Irem, Ataoğlu Hayriye Esra

机构信息

University of Health Sciences, Taksim Health Training and Research Hospital, Internal Medicine Clinic, İstanbul, Turkey.

University of Health Sciences, Haseki Health Training and Research Hospital, Internal Medicine Clinic, İstanbul, Turkey.

出版信息

Int J Gen Med. 2022 Jul 27;15:6301-6307. doi: 10.2147/IJGM.S374246. eCollection 2022.

DOI:10.2147/IJGM.S374246
PMID:35924178
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9343174/
Abstract

PURPOSE

Various parameters have been proposed to predict the outcome of patients with coronavirus disease. The aim of this study was to evaluate the utility of the age-adjusted CCI score and biochemical parameters for predicting outcomes for COVID-19 patients on admission.

PATIENTS AND METHODS

A total of 511 patients were included in the study. Only swab or serological tests positive patients were included. The clinical characteristics of the patients were compared between survival and non-survival COVID-19 inpatients. Hemoglobin, platelet, sedimentation, creatinine, AST, ALT, LDH, CK, albumin, ferritin, lymphocyte, neutrophil, CRP (1-5;5-10;10-20 × upper limit), procalcitonin (5-10;10-20; > 20 × upper limit), D Dimer (> 2 × upper limit), age, gender, chronic diseases and CCI scores were compared between the two groups.

RESULTS

68 patients died and 443 patients survived. Mean age was 74.3±7.3 years in survival group and 76.7±8.0 in nonsurvival group. Age, male sex, ischemic heart disease (CHD), chronic kidney disease and active malignancy was statistically higher in non-survivor group. The biochemical parameters was compared in survival and nonsurvival group. CCI score, AST, LDH, CK, Ferritin, CRP are significantly higher and albumin, lymphocyte levels are significantly lower in nonsurvival group. D-dimer and procalcitonin levels are significantly higher in nonsurvival group. CCI score and neutrophil, creatinine, ALT, AST, d-dimer and procalcitonin elevations were correlated. Low albumin and lymphocyte levels were correlated with the CCI score. There was no significant correlation between ferritin, sedimentation, CRP levels and CCI score. A multivariate logistic regression analysis indicated that anaemia, elevated CRP (> 10-20 × upper limit), procalcitonin (> 5-10 × upper limit), ALT, AST levels and higher CCI score were independent risk factors for mortality in COVID-19 patients.

CONCLUSION

Anaemia, elevated CRP, procalcitonin levels, ALT, AST levels and higher CCI score were found independent risk factors for mortality in COVID-19 patients.

摘要

目的

已提出多种参数来预测冠状病毒病患者的预后。本研究的目的是评估年龄校正后的CCI评分和生化参数对预测COVID-19患者入院时预后的效用。

患者与方法

本研究共纳入511例患者。仅纳入拭子或血清学检测呈阳性的患者。比较了COVID-19存活和非存活住院患者的临床特征。比较了两组患者的血红蛋白、血小板、血沉、肌酐、谷草转氨酶(AST)、谷丙转氨酶(ALT)、乳酸脱氢酶(LDH)、肌酸激酶(CK)、白蛋白、铁蛋白、淋巴细胞、中性粒细胞、C反应蛋白(1 - 5;5 - 10;10 - 20×上限)、降钙素原(5 - 10;10 - 20;> 20×上限)、D - 二聚体(> 2×上限)、年龄、性别、慢性病和CCI评分。

结果

68例患者死亡,443例患者存活。存活组的平均年龄为74.3±7.3岁,非存活组为76.7±8.0岁。非存活组的年龄、男性、缺血性心脏病(CHD)、慢性肾病和活动性恶性肿瘤在统计学上更高。比较了存活组和非存活组的生化参数。非存活组的CCI评分、AST、LDH、CK、铁蛋白、C反应蛋白显著更高,白蛋白、淋巴细胞水平显著更低。非存活组的D - 二聚体和降钙素原水平显著更高。CCI评分与中性粒细胞、肌酐、ALT、AST、D - 二聚体和降钙素原升高相关。低白蛋白和淋巴细胞水平与CCI评分相关。铁蛋白、血沉、C反应蛋白水平与CCI评分之间无显著相关性。多因素逻辑回归分析表明,贫血、C反应蛋白升高(> 10 - 20×上限)、降钙素原升高(> 5 - 10×上限)、ALT、AST水平以及较高的CCI评分是COVID-19患者死亡的独立危险因素。

结论

贫血、C反应蛋白升高、降钙素原水平、ALT、AST水平以及较高的CCI评分是COVID-19患者死亡的独立危险因素。