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电解质作为长新冠患者纤维肌痛疲劳评分的预测因子。

Electrolytes as predictors of fibro fatigue scores in Long-COVID patients.

机构信息

Department of Chemistry, College of Science, University of Kufa, Najaf, Iraq.

Faculty of Medicine, Department of Chemistry, University of Al-Ameed, Karbala, Iraq.

出版信息

PLoS One. 2024 Aug 28;19(8):e0309348. doi: 10.1371/journal.pone.0309348. eCollection 2024.

DOI:10.1371/journal.pone.0309348
PMID:39197062
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11357109/
Abstract

BACKGROUND

The complex effects of Long-COVID, a syndrome marked by enduring symptoms after COVID-19 infection, with an emphasis on patients' differing degrees of fibro fatigue (FF). Electrolyte disturbances may affect the severity of FF and may be used as a predictive tool for severe FF in Long-COVID patients.

OBJECTIVE

The aim is to use the electrolyte levels for prediction of the Long-COVID patients with high FF levels.

METHODS

The electrolyte levels, calcium, and magnesium, as well as albumin and C-reactive protein levels were measured in 120 Long-COVID patients and 60 controls. FF scale was used for scoring the fatigue severity in all subjects. Patients were divided into high-FF (FF score>25) and moderate-FF group (FF score<25).

RESULTS

FF is the major effector on the serum biomarker levels. High-FF group had older people, longer disease durations, lower SpO2, higher CRP, and higher peak temperatures than the control group. High-FF group has a significant decrease in serum total and ionized calcium compared with the controls and low-FF group. After controlling the cofounders, the major factor controlling the levels of the measured biomarkers is the FF value (Partial η2 = 0.468). The ROC-AUC analysis showed that the peak body temperature, Low-SpO2, high-CRP, and low electrolytes can predict the high-FF in a patient with Long-COVID with a moderate sensitivity and specificities (61.6-70%).

CONCLUSION

Long-COVID patients have an elevation in FF score. The decline in electrolytes can predict the severity of FF with moderate sensitivities and specificities.

摘要

背景

长新冠是一种在感染新冠病毒后出现持续症状的综合征,其特点是患者不同程度的纤维疲劳(FF)。电解质紊乱可能会影响 FF 的严重程度,并可作为预测长新冠患者严重 FF 的工具。

目的

旨在利用电解质水平预测长新冠患者中 FF 水平较高的患者。

方法

在 120 名长新冠患者和 60 名对照者中测量了电解质水平、钙和镁以及白蛋白和 C 反应蛋白水平。所有受试者均采用 FF 量表评估疲劳严重程度。患者分为高 FF(FF 评分>25)和中 FF 组(FF 评分<25)。

结果

FF 是影响血清生物标志物水平的主要因素。高 FF 组患者年龄较大、疾病持续时间较长、SpO2 较低、CRP 较高、峰值体温较高,与对照组相比差异有统计学意义。与对照组和低 FF 组相比,高 FF 组血清总钙和离子钙显著降低。在控制混杂因素后,控制所测量生物标志物水平的主要因素是 FF 值(部分 η2=0.468)。ROC-AUC 分析显示,峰值体温、低 SpO2、高 CRP 和低电解质可预测长新冠患者的高 FF,具有中等敏感性和特异性(61.6-70%)。

结论

长新冠患者的 FF 评分升高。电解质下降可预测 FF 的严重程度,具有中等的敏感性和特异性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9277/11357109/4589469cbcc8/pone.0309348.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9277/11357109/a7499cb9f249/pone.0309348.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9277/11357109/4589469cbcc8/pone.0309348.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9277/11357109/a7499cb9f249/pone.0309348.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9277/11357109/4589469cbcc8/pone.0309348.g002.jpg

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