» Articles » PMID: 39527314

Identifying Influencing Factors and Constructing a Prediction Model for Long COVID-19 in Hemodialysis Patients

Overview
Publisher Springer
Specialty Nephrology
Date 2024 Nov 11
PMID 39527314
Authors
Affiliations
Soon will be listed here.
Abstract

Purpose: This study aimed to identify the potential influencing factors and construct a prediction model for long COVID in hemodialysis patients.

Methods: We retrospectively reviewed 115 patients undergoing hemodialysis in a tertiary hospital between December 2022 and January 2023. Both univariate and multivariate logistic regression models were applied to identify potential influencing factors, and the prediction model was constructed using an ROC curve.

Results: Of the 115 included patients, 60 experienced long COVID, with a prevalence of 52.2%. The univariate analysis found that a three-dose COVID-19 vaccination was associated with a reduced risk of long COVID (OR: 0.10; 95%CI: 0.01-0.86; P = 0.036). However, severe COVID (OR: 9.49; 95%CI: 1.14-78.90; P = 0.037), undergoing CT examination (OR: 3.01; 95%CI: 1.34-6.78; P = 0.008), and abnormal neutrophil (OR: 5.95; 95%CI: 1.26-28.19; P = 0.025), and platelet (OR: 2.39; 95%CI: 1.11-5.13; P = 0.025) counts were associated with a higher risk of long COVID. After adjusting for potential confounding factors, undergoing CT examination (OR: 2.60; 95%CI: 1.02-6.64; P = 0.046) and having abnormal neutrophil (OR: 8.16; 95%CI: 1.57-42.38; P = 0.013) and monocyte (OR: 17.77; 95%CI: 1.30-242.29; P = 0.031) counts were associated with a higher risk of long COVID. The prediction model constructed based on these factors showed a relatively better predictive value (AUC: 0.738; 95%CI: 0.648-0.828; P < 0.001).

Conclusions: The risk of long COVID-19 in hemodialysis patients was significantly related to undergoing CT examination and having abnormal neutrophil and monocyte counts, and the prediction model constructed using these factors showed a moderate predictive value.

References
1.
Bassler K, Schulte-Schrepping J, Warnat-Herresthal S, Aschenbrenner A, Schultze J . The Myeloid Cell Compartment-Cell by Cell. Annu Rev Immunol. 2019; 37:269-293. DOI: 10.1146/annurev-immunol-042718-041728. View

2.
Mann E, Menon M, Knight S, Konkel J, Jagger C, Shaw T . Longitudinal immune profiling reveals key myeloid signatures associated with COVID-19. Sci Immunol. 2020; 5(51). PMC: 7857390. DOI: 10.1126/sciimmunol.abd6197. View

3.
Soriano J, Murthy S, Marshall J, Relan P, Diaz J . A clinical case definition of post-COVID-19 condition by a Delphi consensus. Lancet Infect Dis. 2021; 22(4):e102-e107. PMC: 8691845. DOI: 10.1016/S1473-3099(21)00703-9. View

4.
Kreuter M, Lee J, Tzouvelekis A, Oldham J, Molyneaux P, Weycker D . Monocyte Count as a Prognostic Biomarker in Patients with Idiopathic Pulmonary Fibrosis. Am J Respir Crit Care Med. 2021; 204(1):74-81. PMC: 8437112. DOI: 10.1164/rccm.202003-0669OC. View

5.
Altmann D, Whettlock E, Liu S, Arachchillage D, Boyton R . The immunology of long COVID. Nat Rev Immunol. 2023; 23(10):618-634. DOI: 10.1038/s41577-023-00904-7. View