Electrolytes as predictors of fibro fatigue scores in Long-COVID patients.
Humans
Female
COVID-19
/ blood
Male
Middle Aged
Electrolytes
/ blood
C-Reactive Protein
/ analysis
Biomarkers
/ blood
Fatigue
/ blood
Adult
Calcium
/ blood
SARS-CoV-2
/ isolation & purification
Aged
Severity of Illness Index
Post-Acute COVID-19 Syndrome
Magnesium
/ blood
Case-Control Studies
ROC Curve
Journal
PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081
Informations de publication
Date de publication:
2024
2024
Historique:
received:
18
03
2024
accepted:
09
08
2024
medline:
29
8
2024
pubmed:
29
8
2024
entrez:
28
8
2024
Statut:
epublish
Résumé
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. The aim is to use the electrolyte levels for prediction of the Long-COVID patients with high FF levels. 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). 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%). Long-COVID patients have an elevation in FF score. The decline in electrolytes can predict the severity of FF with moderate sensitivities and specificities.
Sections du résumé
BACKGROUND
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
OBJECTIVE
The aim is to use the electrolyte levels for prediction of the Long-COVID patients with high FF levels.
METHODS
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
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
CONCLUSIONS
Long-COVID patients have an elevation in FF score. The decline in electrolytes can predict the severity of FF with moderate sensitivities and specificities.
Identifiants
pubmed: 39197062
doi: 10.1371/journal.pone.0309348
pii: PONE-D-24-09563
doi:
Substances chimiques
Electrolytes
0
C-Reactive Protein
9007-41-4
Biomarkers
0
Calcium
SY7Q814VUP
Magnesium
I38ZP9992A
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e0309348Informations de copyright
Copyright: © 2024 Al Masoodi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Déclaration de conflit d'intérêts
The authors have declared that no competing interests exist.