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比较匈牙利大流行 SARS-CoV-2 相关肺炎和社区获得性肺炎患者的临床特征 - 一项试点历史病例对照研究。

Comparison of clinical characteristics of patients with pandemic SARS-CoV-2-related and community-acquired pneumonias in Hungary - a pilot historical case-control study.

机构信息

Department of Internal Medicine and Oncology, Faculty of Medicine, Semmelweis University, Korányi S. u. 2/a, Budapest, H-1083, Hungary.

Emergency Department, Faculty of Medicine, Semmelweis University, Budapest, Hungary.

出版信息

Geroscience. 2021 Feb;43(1):53-64. doi: 10.1007/s11357-020-00294-x. Epub 2020 Nov 11.

Abstract

The distinction between severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-related and community-acquired pneumonias poses significant difficulties, as both frequently involve the elderly. This study aimed to predict the risk of SARS-CoV-2-related pneumonia based on clinical characteristics at hospital presentation. Case-control study of all patients admitted for pneumonia at Semmelweis University Emergency Department. Cases (n = 30) were patients diagnosed with SARS-CoV-2-related pneumonia (based on polymerase chain reaction test) between 26 March 2020 and 30 April 2020; controls (n = 82) were historical pneumonia cases between 1 January 2019 and 30 April 2019. Logistic models were built with SARS-CoV-2 infection as outcome using clinical characteristics at presentation. Patients with SARS-CoV-2-related pneumonia were younger (mean difference, 95% CI: 9.3, 3.2-15.5 years) and had a higher lymphocyte count, lower C-reactive protein, presented more frequently with bilateral infiltrate, less frequently with abdominal pain, diarrhoea, and nausea in age- and sex-adjusted models. A logistic model using age, sex, abdominal pain, C-reactive protein, and the presence of bilateral infiltrate as predictors had an excellent discrimination (AUC 0.88, 95% CI: 0.81-0.96) and calibration (p = 0.27-Hosmer-Lemeshow test). The clinical use of our screening prediction model could improve the discrimination of SARS-CoV-2 related from other community-acquired pneumonias and thus help patient triage based on commonly used diagnostic approaches. However, external validation in independent datasets is required before its clinical use.

摘要

严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)相关肺炎和社区获得性肺炎之间的区别带来了重大困难,因为两者都常涉及老年人。本研究旨在根据入院时的临床特征预测 SARS-CoV-2 相关肺炎的风险。

这是一项在塞梅尔维斯大学急救科因肺炎入院的所有患者中进行的病例对照研究。病例(n = 30)为 2020 年 3 月 26 日至 4 月 30 日期间被诊断为 SARS-CoV-2 相关肺炎(基于聚合酶链反应检测)的患者;对照组(n = 82)为 2019 年 1 月 1 日至 2019 年 4 月 30 日期间的历史肺炎病例。使用入院时的临床特征,建立以 SARS-CoV-2 感染为结局的逻辑模型。

SARS-CoV-2 相关肺炎患者年龄更小(平均差异,95%CI:9.3,3.2-15.5 岁),淋巴细胞计数较高,C 反应蛋白较低,更常表现为双侧浸润,在年龄和性别调整模型中,较少表现为腹痛、腹泻和恶心。使用年龄、性别、腹痛、C 反应蛋白和双侧浸润作为预测因子的逻辑模型具有极好的区分度(AUC 0.88,95%CI:0.81-0.96)和校准度(p = 0.27-Hosmer-Lemeshow 检验)。

我们的筛选预测模型的临床应用可以提高 SARS-CoV-2 相关肺炎与其他社区获得性肺炎的区分度,从而有助于根据常用的诊断方法对患者进行分诊。但是,在将其临床应用之前,需要在独立数据集上进行外部验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe54/8050158/ec419d57a48c/11357_2020_294_Fig1_HTML.jpg

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