Suppr超能文献

合并症、影像学表现、年龄及淋巴细胞减少(CORAL)工具:为应对新冠疫情及后续情况为急诊医生打造的诊断助手。

The Comorbidities, Radiographic Findings, Age, and Lymphopenia (CORAL) Tool: A Diagnostic Ally for Emergency Physicians Created for the COVID-19 Crisis and Beyond.

作者信息

Castro-Vásquez Carlos, Bass Michelle, Díaz Gustavo, Camargo Manuel, Cubillos Julian, Alvarez Sebastian, Garcia-Rairan Luis, Sandoval Nicolas, Sandoval Adrian, Patiño Andres M, Lall Michelle D

机构信息

Department of Emergency Medicine, Trinity Health Livonia Hospital, Michigan State University College of Osteopathic Medicine, Livonia, USA.

Department of Medicine, El Bosque University, Bogotá, COL.

出版信息

Cureus. 2023 Jun 27;15(6):e41036. doi: 10.7759/cureus.41036. eCollection 2023 Jun.

Abstract

BACKGROUND

This study aimed to develop a novel clinical approach to predict intensive care unit (ICU) admission and mortality among coronavirus disease 2019 (COVID-19) patients in the emergency department (ED).

METHODS

A retrospective cohort study was conducted including adults ≥ 18 years diagnosed with COVID-19 in the emergency department and admitted to the ICU between March and July 2020 in an academic hospital. The outcome variables were mortality and ICU admission. Additional variables that were collected included sex, age, comorbidities, symptom phenotype, and laboratory (lymphopenia) and imaging findings. A logistic regression model was used to construct and validate the risk models.

RESULTS

A total of 808 patients were included in the study; 61.9% were men. The mean age was 57.8 ± 15.9 years, and high blood pressure (HBP) was the most prevalent comorbidity (31.8%). Seventy-six (9.4%) patients were admitted to the ICU. Age ≥ 60 years, chronic obstructive pulmonary disease (COPD), lymphopenia, and imaging findings correlated with mortality. Age ≥ 60 years, lymphopenia (<1,000 cells per microliter), and hypothyroidism correlated with ICU admission. These variables were incorporated into a scoring system (Comorbidities, Radiographic findings, Age, and Lymphopenia (CORAL) tool) to predict mortality and ICU admission.

CONCLUSIONS

Our Comorbidities, Radiographic findings, Age, and Lymphopenia (CORAL) tool is a practical tool for different clinical settings independent of access to advanced medical resources or technologies. CORAL is suitable for emergency physicians in low- and middle-income countries.

摘要

背景

本研究旨在开发一种新颖的临床方法,以预测急诊科(ED)中2019冠状病毒病(COVID-19)患者的重症监护病房(ICU)收治情况和死亡率。

方法

进行了一项回顾性队列研究,纳入2020年3月至7月期间在一家学术医院急诊科被诊断为COVID-19且入住ICU的18岁及以上成年人。结局变量为死亡率和ICU收治情况。收集的其他变量包括性别、年龄、合并症、症状表型以及实验室检查结果(淋巴细胞减少)和影像学检查结果。使用逻辑回归模型构建并验证风险模型。

结果

本研究共纳入808例患者;其中61.9%为男性。平均年龄为57.8±15.9岁,高血压(HBP)是最常见的合并症(31.8%)。76例(9.4%)患者入住ICU。年龄≥60岁、慢性阻塞性肺疾病(COPD)、淋巴细胞减少和影像学检查结果与死亡率相关。年龄≥60岁、淋巴细胞减少(每微升<1000个细胞)和甲状腺功能减退与ICU收治相关。这些变量被纳入一个评分系统(合并症、影像学检查结果、年龄和淋巴细胞减少(CORAL)工具),以预测死亡率和ICU收治情况。

结论

我们的合并症、影像学检查结果、年龄和淋巴细胞减少(CORAL)工具是一种适用于不同临床环境的实用工具,与是否能够获得先进医疗资源或技术无关。CORAL适用于低收入和中等收入国家的急诊科医生。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/64a7/10373796/15ce1250b9e3/cureus-0015-00000041036-i01.jpg

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