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探索新冠后症状数量的轨迹恢复曲线:LONG-COVID-EXP-CM 多中心研究。

Exploring the trajectory recovery curve of the number of post-COVID Symptoms: The LONG-COVID-EXP-CM Multicenter Study.

机构信息

Department of Physical Therapy, Occupational Therapy, Physical Medicine and Rehabilitation, Universidad Rey Juan Carlos (URJC), Madrid. Spain.

Intelligent Data Analysis Laboratory, Department of Electronic Engineering, ETSE (Engineering School), Universitat de València (UV), Valencia, Spain.

出版信息

Int J Infect Dis. 2022 Apr;117:201-203. doi: 10.1016/j.ijid.2022.02.010. Epub 2022 Feb 9.

DOI:10.1016/j.ijid.2022.02.010
PMID:35150911
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8826603/
Abstract

OBJECTIVES

This multicenter study investigated the recovery curve of the number of post-COVID-19 symptoms in previously hospitalized patients using an exponential decay model and mosaic plots.

METHODS

Patients hospitalized during the first wave of the pandemic (from March 10, 2010-May 31, 2020) due to COVID-19 from 5 hospitals in Madrid, Spain were scheduled for 2 telephone interviews at 2 follow-ups with a 5-month period in between and were asked about the presence of post-COVID-19 symptoms. The total number of post-COVID-19 symptoms was monitored. Clinical features, symptoms at hospital admission, and hospitalization data were collected from medical records.

RESULTS

A total of 1593 patients who had COVID-19 were assessed 8.4 (T1) and 13.2 (T2) months after hospitalization. The mean number of post-COVID-19 symptoms was 2.6 (SD 2.0) at T1 and 1.5 (SD 1.4) at T2. The trajectory curve showed a decrease in prevalence trend. The analysis also revealed that 985 (61.8%) subjects reported more (T1>T2), 549 (34.5%) equal (T1 = T2), and 59 (3.7%) fewer (T1<T2) post-COVID-19 symptoms in the first tertile (T1: 8.4 months) compared with the second tertile (T2: 13.2 months) assessment.

CONCLUSIONS

Current trajectory analysis revealed an overall decrease in the tendency in the number of post-COVID-19 symptoms throughout the 2 years after the infection.

摘要

目的

本多中心研究使用指数衰减模型和马赛克图调查了先前住院的 COVID-19 患者新冠症状数量的恢复曲线。

方法

来自西班牙马德里 5 家医院的 COVID-19 患者在大流行的第一波期间(2020 年 3 月 10 日至 5 月 31 日)住院,在 2 次随访中安排了 2 次电话访谈,随访间隔为 5 个月,并询问了新冠后症状的存在情况。监测新冠后症状的总数量。从病历中收集了临床特征、入院时的症状和住院数据。

结果

共有 1593 名患有 COVID-19 的患者在住院后 8.4 个月(T1)和 13.2 个月(T2)进行了评估。T1 时新冠后症状的平均数量为 2.6(SD 2.0),T2 时为 1.5(SD 1.4)。轨迹曲线显示出患病率下降的趋势。分析还表明,985 名(61.8%)患者报告了更多的新冠后症状(T1>T2),549 名(34.5%)报告了相等的症状(T1=T2),59 名(3.7%)报告了更少的新冠后症状(T1<T2)在第一个三分位数(T1:8.4 个月)与第二个三分位数(T2:13.2 个月)评估。

结论

当前的轨迹分析显示,在感染后 2 年内,新冠后症状数量总体呈下降趋势。

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