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COVID-19 疫情对住院患者生命体征的影响:来自一家大型教学医院的前后热图研究。

The effect of COVID-19 epidemic on vital signs in hospitalized patients: a pre-post heat-map study from a large teaching hospital.

机构信息

IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089, Milan, Italy.

Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072, Milan, Italy.

出版信息

J Clin Monit Comput. 2022 Jun;36(3):829-837. doi: 10.1007/s10877-021-00715-y. Epub 2021 May 10.

Abstract

The Lombardy SARS-CoV-2 outbreak in February 2020 represented the beginning of COVID-19 epidemic in Italy. Hospitals were flooded by thousands of patients with bilateral pneumonia and severe respiratory, and vital sign derangements compared to the standard hospital population. We propose a new visual analysis technique using heat maps to describe the impact of COVID-19 epidemic on vital sign anomalies in hospitalized patients. We conducted an electronic health record study, including all confirmed COVID-19 patients hospitalized from February 21st, 2020 to April 21st, 2020 as cases, and all non-COVID-19 patients hospitalized in the same wards from January 1st, 2018 to December 31st, 2018. All data on temperature, peripheral oxygen saturation, respiratory rate, arterial blood pressure, and heart rate were retrieved. Derangement of vital signs was defined according to predefined thresholds. 470 COVID-19 patients and 9241 controls were included. Cases were older than controls, with a median age of 79 vs 76 years in non survivors (p =  < 0.002). Gender was not associated with mortality. Overall mortality in COVID-19 hospitalized patients was 18%, ranging from 1.4% in patients below 65 years to about 30% in patients over 65 years. Heat maps analysis demonstrated that COVID-19 patients had an increased frequency in episodes of compromised respiratory rate, acute desaturation, and fever. COVID-19 epidemic profoundly affected the incidence of severe derangements in vital signs in a large academic hospital. We validated heat maps as a method to analyze the clinical stability of hospitalized patients. This method may help to improve resource allocation according to patient characteristics.

摘要

2020 年 2 月伦巴第 SARS-CoV-2 爆发是意大利 COVID-19 疫情的开始。与标准医院人群相比,数千名患有双侧肺炎和严重呼吸及生命体征紊乱的患者涌入医院。我们提出了一种新的热图可视化分析技术,用于描述 COVID-19 疫情对住院患者生命体征异常的影响。我们进行了一项电子病历研究,包括 2020 年 2 月 21 日至 4 月 21 日期间确诊的所有 COVID-19 住院患者(病例),以及 2018 年 1 月 1 日至 2018 年 12 月 31 日期间在同一病房住院的所有非 COVID-19 患者(对照)。检索了所有关于体温、外周血氧饱和度、呼吸频率、动脉血压和心率的数据。根据预设阈值定义生命体征紊乱。共纳入 470 例 COVID-19 患者和 9241 例对照。病例组患者年龄大于对照组,非幸存者中位数年龄为 79 岁 vs 76 岁(p<0.002)。性别与死亡率无关。COVID-19 住院患者总体死亡率为 18%,65 岁以下患者死亡率为 1.4%,65 岁以上患者死亡率约为 30%。热图分析显示,COVID-19 患者呼吸频率异常、急性低氧血症和发热的发作频率增加。COVID-19 疫情对大型学术医院生命体征严重紊乱的发生率产生了深远影响。我们验证了热图作为分析住院患者临床稳定性的方法。这种方法可以根据患者特征帮助改善资源分配。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cc4/8108436/a1ce7bd43ca3/10877_2021_715_Fig1_HTML.jpg

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