• 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

墨西哥重症 COVID-19 患者死亡的临床风险因素

Clinical Risk Factors for Mortality Among Critically Ill Mexican Patients With COVID-19.

作者信息

Hernández-Cárdenas Carmen M, Choreño-Parra José Alberto, Torruco-Sotelo Carlos, Jurado Felipe, Serna-Secundino Héctor, Aguilar Cristina, García-Olazarán José G, Hernández-García Diana, Choreño-Parra Eduardo M, Zúñiga Joaquín, Lugo-Goytia Gustavo

机构信息

Respiratory Intensive Care Unit, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico.

Laboratory of Immunobiology and Genetics, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico.

出版信息

Front Med (Lausanne). 2021 Aug 27;8:699607. doi: 10.3389/fmed.2021.699607. eCollection 2021.

DOI:10.3389/fmed.2021.699607
PMID:34513872
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8429783/
Abstract

Little literature exists about critically ill patients with coronavirus disease 2019 (COVID-19) from Latin America. Here, we aimed to describe the clinical characteristics and mortality risk factors in mechanically ventilated COVID-19 patients from Mexico. For this purpose, we recruited 67 consecutive mechanically ventilated COVID-19 patients which were grouped according to their clinical outcome (survival vs. death). Clinical risk factors for mortality were identified by machine-learning and logistic regression models. The median age of participants was 42 years and 65% were men. The most common comorbidity observed was obesity (49.2%). Fever was the most frequent symptom of illness (88%), followed by dyspnea (84%). Multilobe ground-glass opacities were observed in 76% of patients by thoracic computed tomography (CT) scan. Fifty-two percent of study participants were ventilated in prone position, and 59% required cardiovascular support with norepinephrine. Furthermore, 49% of participants were coinfected with a second pathogen. Two-thirds of COVID-19 patients developed acute kidney injury (AKIN). The mortality of our cohort was 44.7%. AKIN, uric acid, lactate dehydrogenase (LDH), and a longitudinal increase in the ventilatory ratio were associated with mortality. Baseline PaO2/FiO2 values and a longitudinal recovery of lymphocytes were protective factors against mortality. Our study provides reference data about the clinical phenotype and risk factors for mortality in mechanically ventilated Mexican patients with COVID-19.

摘要

关于拉丁美洲2019冠状病毒病(COVID-19)危重症患者的文献较少。在此,我们旨在描述墨西哥接受机械通气的COVID-19患者的临床特征和死亡风险因素。为此,我们连续招募了67例接受机械通气的COVID-19患者,并根据其临床结局(存活与死亡)进行分组。通过机器学习和逻辑回归模型确定死亡的临床风险因素。参与者的中位年龄为42岁,65%为男性。观察到的最常见合并症是肥胖(49.2%)。发热是最常见的症状(88%),其次是呼吸困难(84%)。76%的患者通过胸部计算机断层扫描(CT)观察到多叶磨玻璃影。52%的研究参与者采用俯卧位通气,59%需要去甲肾上腺素进行心血管支持。此外,49%的参与者合并感染了第二种病原体。三分之二的COVID-19患者发生急性肾损伤(AKIN)。我们队列的死亡率为44.7%。AKIN、尿酸、乳酸脱氢酶(LDH)以及通气比的纵向增加与死亡率相关。基线PaO2/FiO2值和淋巴细胞的纵向恢复是死亡率的保护因素。我们的研究提供了关于墨西哥接受机械通气的COVID-19患者临床表型和死亡风险因素的参考数据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1d8/8429783/23500400f544/fmed-08-699607-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1d8/8429783/14ce755a56c1/fmed-08-699607-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1d8/8429783/23500400f544/fmed-08-699607-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1d8/8429783/14ce755a56c1/fmed-08-699607-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1d8/8429783/23500400f544/fmed-08-699607-g0002.jpg

相似文献

1
Clinical Risk Factors for Mortality Among Critically Ill Mexican Patients With COVID-19.墨西哥重症 COVID-19 患者死亡的临床风险因素
Front Med (Lausanne). 2021 Aug 27;8:699607. doi: 10.3389/fmed.2021.699607. eCollection 2021.
2
Role of computed tomography in predicting critical disease in patients with covid-19 pneumonia: A retrospective study using a semiautomatic quantitative method.CT 对预测新冠肺炎患者危重症的作用:一项使用半自动定量方法的回顾性研究。
Eur J Radiol. 2020 Sep;130:109202. doi: 10.1016/j.ejrad.2020.109202. Epub 2020 Jul 29.
3
Sustained oxygenation improvement after first prone positioning is associated with liberation from mechanical ventilation and mortality in critically ill COVID-19 patients: a cohort study.首次俯卧位通气后持续改善氧合与危重症新型冠状病毒肺炎患者机械通气脱机及死亡率的相关性:一项队列研究
Ann Intensive Care. 2021 Apr 26;11(1):63. doi: 10.1186/s13613-021-00853-1.
4
Prone positioning in mechanically ventilated patients with severe acute respiratory distress syndrome and coronavirus disease 2019.俯卧位通气在严重急性呼吸窘迫综合征合并 2019 冠状病毒病机械通气患者中的应用。
Acta Anaesthesiol Scand. 2021 Mar;65(3):360-363. doi: 10.1111/aas.13741. Epub 2020 Nov 22.
5
Critical Illness Due to Covid-19: A Description of the Surge in a Single Center in Sioux Falls.新型冠状病毒肺炎所致危重症:南达科他州苏福尔斯市某单一中心的激增情况描述
S D Med. 2020 Jul;73(7):312-317.
6
Baseline Characteristics and Outcomes of 1591 Patients Infected With SARS-CoV-2 Admitted to ICUs of the Lombardy Region, Italy.意大利伦巴第地区 1591 名 ICU 收治的 SARS-CoV-2 感染患者的基线特征和结局。
JAMA. 2020 Apr 28;323(16):1574-1581. doi: 10.1001/jama.2020.5394.
7
Clinical Characteristics and Predictors of 28-Day Mortality in 352 Critically Ill Patients with COVID-19: A Retrospective Study.352 例 COVID-19 危重症患者 28 天病死率的临床特征及其预测因素:一项回顾性研究。
J Epidemiol Glob Health. 2021 Mar;11(1):98-104. doi: 10.2991/jegh.k.200928.001. Epub 2020 Oct 3.
8
High serum lactate dehydrogenase and dyspnea: Positive predictors of adverse outcome in critical COVID-19 patients in Yichang.高血清乳酸脱氢酶与呼吸困难:宜昌市危重型新型冠状病毒肺炎患者不良结局的阳性预测指标
World J Clin Cases. 2020 Nov 26;8(22):5535-5546. doi: 10.12998/wjcc.v8.i22.5535.
9
Comparison and clinical characteristics of COVID-19 between January and February 2020 in Wuhan, China.中国武汉2020年1月至2月期间新型冠状病毒肺炎的对比及临床特征
Ann Palliat Med. 2021 Apr;10(4):4201-4213. doi: 10.21037/apm-20-2222. Epub 2021 Mar 23.
10
Clinical characteristics of critically ill patients with COVID-19.新型冠状病毒肺炎危重症患者的临床特征
Medicina (B Aires). 2021;81(4):527-535.

引用本文的文献

1
Machine Learning-Based Identification of Risk Factors for ICU Mortality in 8902 Critically Ill Patients with Pandemic Viral Infection.基于机器学习对8902例大流行性病毒感染重症患者ICU死亡风险因素的识别
J Clin Med. 2025 Jul 30;14(15):5383. doi: 10.3390/jcm14155383.
2
Global geographic and socioeconomic disparities in COVID-associated acute kidney injury: a systematic review and meta-analysis.新冠相关急性肾损伤的全球地理和社会经济差异:一项系统综述和荟萃分析。
J Glob Health. 2025 Jul 25;15:04166. doi: 10.7189/jogh.15.04166.
3
Clinical characteristics of adult asthma patients hospitalized by COVID-19 in Mexico City: a real-world study.

本文引用的文献

1
Lactate dehydrogenase levels predict coronavirus disease 2019 (COVID-19) severity and mortality: A pooled analysis.乳酸脱氢酶水平可预测 2019 冠状病毒病(COVID-19)的严重程度和死亡率:一项汇总分析。
Am J Emerg Med. 2020 Sep;38(9):1722-1726. doi: 10.1016/j.ajem.2020.05.073. Epub 2020 May 27.
2
Reappearance of effector T cells is associated with recovery from COVID-19.效应 T 细胞的再现与 COVID-19 的康复有关。
EBioMedicine. 2020 Jul;57:102885. doi: 10.1016/j.ebiom.2020.102885. Epub 2020 Jul 7.
3
Reduction and Functional Exhaustion of T Cells in Patients With Coronavirus Disease 2019 (COVID-19).
墨西哥城因 COVID-19 住院的成年哮喘患者的临床特征:一项真实世界研究。
Ann Med. 2024 Dec;56(1):2424448. doi: 10.1080/07853890.2024.2424448. Epub 2024 Dec 2.
4
Clinical Characteristics of Hospitalized Patients With COVID-19 and Their Association With the Progression to Critical Illness and Death: A Single-Center Retrospective Study From Northwestern Mexico.墨西哥西北部单中心回顾性研究:COVID-19 住院患者的临床特征及其与进展为重症和死亡的关系。
Clin Respir J. 2024 Jul;18(7):e13813. doi: 10.1111/crj.13813.
5
Risk Factors for Mortality of Hospitalized Adult Patients with COVID-19 Pneumonia: A Two-Year Cohort Study in a Private Tertiary Care Center in Mexico.墨西哥一家私立三级护理中心的一项为期两年的队列研究:住院成人 COVID-19 肺炎患者死亡的危险因素。
Int J Environ Res Public Health. 2023 Mar 2;20(5):4450. doi: 10.3390/ijerph20054450.
6
Differential Leukocyte Expression of and in Patients with Severe Pandemic Influenza A(H1N1) and COVID-19.严重大流行流感 A(H1N1)和 COVID-19 患者白细胞中 和 的差异表达。
J Interferon Cytokine Res. 2022 Aug;42(8):430-443. doi: 10.1089/jir.2022.0036. Epub 2022 Jun 14.
7
Comparing the Cytokine Storms of COVID-19 and Pandemic Influenza.比较 COVID-19 和大流行性流感的细胞因子风暴。
J Interferon Cytokine Res. 2022 Aug;42(8):369-392. doi: 10.1089/jir.2022.0029. Epub 2022 Jun 7.
新型冠状病毒病(COVID-19)患者 T 细胞减少和功能耗竭。
Front Immunol. 2020 May 1;11:827. doi: 10.3389/fimmu.2020.00827. eCollection 2020.
4
Extrapulmonary manifestations of COVID-19: Radiologic and clinical overview.COVID-19 的肺外表现:影像学和临床概述。
Clin Imaging. 2020 Oct;66:35-41. doi: 10.1016/j.clinimag.2020.05.013. Epub 2020 May 18.
5
Acute kidney injury in patients hospitalized with COVID-19.COVID-19 住院患者中的急性肾损伤。
Kidney Int. 2020 Jul;98(1):209-218. doi: 10.1016/j.kint.2020.05.006. Epub 2020 May 16.
6
Gender Differences in Patients With COVID-19: Focus on Severity and Mortality.COVID-19 患者的性别差异:关注严重程度和死亡率。
Front Public Health. 2020 Apr 29;8:152. doi: 10.3389/fpubh.2020.00152. eCollection 2020.
7
Postmortem examination of COVID-19 patients reveals diffuse alveolar damage with severe capillary congestion and variegated findings in lungs and other organs suggesting vascular dysfunction.对新冠病毒疾病(COVID-19)患者的尸检显示,肺部出现弥漫性肺泡损伤,伴有严重的毛细血管充血,肺部及其他器官呈现出多样化的表现,提示存在血管功能障碍。
Histopathology. 2020 Aug;77(2):198-209. doi: 10.1111/his.14134. Epub 2020 Jul 5.
8
High-dimensional immune profiling by mass cytometry revealed immunosuppression and dysfunction of immunity in COVID-19 patients.通过质谱流式细胞术进行的高维免疫分析揭示了COVID-19患者的免疫抑制和免疫功能障碍。
Cell Mol Immunol. 2020 Jun;17(6):650-652. doi: 10.1038/s41423-020-0447-2. Epub 2020 Apr 28.
9
Clinical value of immune-inflammatory parameters to assess the severity of coronavirus disease 2019.免疫炎症参数评估 2019 年冠状病毒病严重程度的临床价值。
Int J Infect Dis. 2020 Jun;95:332-339. doi: 10.1016/j.ijid.2020.04.041. Epub 2020 Apr 22.
10
Endothelial cell infection and endotheliitis in COVID-19.新型冠状病毒肺炎中的内皮细胞感染与内皮炎
Lancet. 2020 May 2;395(10234):1417-1418. doi: 10.1016/S0140-6736(20)30937-5. Epub 2020 Apr 21.