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Investigation of comorbidities of COVID-19 patients with hepatosteatosis using latent class analysis

INTRODUCTION: Coronavirus Disease 2019 (COVID-19) disease first appeared in Wuhan, China in December 2019. Subsequently, the pandemic spread rapidly throughout the entire world. The number of people who died from COVID-19 is rising daily due to the growing number cases. This retrospective study aims...

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Autores principales: Pasin, Ozge, Cetin, Sirin, Kaya, Ahmet Turan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9558709/
https://www.ncbi.nlm.nih.gov/pubmed/36249206
http://dx.doi.org/10.3389/fpubh.2022.990848
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author Pasin, Ozge
Cetin, Sirin
Kaya, Ahmet Turan
author_facet Pasin, Ozge
Cetin, Sirin
Kaya, Ahmet Turan
author_sort Pasin, Ozge
collection PubMed
description INTRODUCTION: Coronavirus Disease 2019 (COVID-19) disease first appeared in Wuhan, China in December 2019. Subsequently, the pandemic spread rapidly throughout the entire world. The number of people who died from COVID-19 is rising daily due to the growing number cases. This retrospective study aims to classify patients with hepatosteatosis (HS) who had COVID-19, depending on additional disease characteristics and to compare survival times and death rates. MATERIAL AND METHODS: The study included 433 individuals with COVID-19 and HS at Amasya University Sabuncuoglu Serefeddin Education and Research Hospital. Additional disease characteristics of patients with HS were analyzed using latent class analysis (LCA) and the patients were divided into two groups. RESULTS: The study results indicate that the survival time of the first group, which was formed as a result of the LCA, was significantly lower than that of the second group (p = 0.038). The rate of diabetes, coronary artery disease, chronic rhythm disorder, chronic obstructive pulmonary disease (COPD) and chronic kidney disease was significantly higher in group 1 than in group 2 (respectively p < 0.001; p < 0.001; p < 0.001; p < 0.001; p = 0.015). DISCUSSION: In patients with HS, the presence of diabetes, coronary artery disease, chronic rhythm problem, COPD, and chronic renal disorders contributes to an increase in death rates due to COVID-19.
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spelling pubmed-95587092022-10-14 Investigation of comorbidities of COVID-19 patients with hepatosteatosis using latent class analysis Pasin, Ozge Cetin, Sirin Kaya, Ahmet Turan Front Public Health Public Health INTRODUCTION: Coronavirus Disease 2019 (COVID-19) disease first appeared in Wuhan, China in December 2019. Subsequently, the pandemic spread rapidly throughout the entire world. The number of people who died from COVID-19 is rising daily due to the growing number cases. This retrospective study aims to classify patients with hepatosteatosis (HS) who had COVID-19, depending on additional disease characteristics and to compare survival times and death rates. MATERIAL AND METHODS: The study included 433 individuals with COVID-19 and HS at Amasya University Sabuncuoglu Serefeddin Education and Research Hospital. Additional disease characteristics of patients with HS were analyzed using latent class analysis (LCA) and the patients were divided into two groups. RESULTS: The study results indicate that the survival time of the first group, which was formed as a result of the LCA, was significantly lower than that of the second group (p = 0.038). The rate of diabetes, coronary artery disease, chronic rhythm disorder, chronic obstructive pulmonary disease (COPD) and chronic kidney disease was significantly higher in group 1 than in group 2 (respectively p < 0.001; p < 0.001; p < 0.001; p < 0.001; p = 0.015). DISCUSSION: In patients with HS, the presence of diabetes, coronary artery disease, chronic rhythm problem, COPD, and chronic renal disorders contributes to an increase in death rates due to COVID-19. Frontiers Media S.A. 2022-09-29 /pmc/articles/PMC9558709/ /pubmed/36249206 http://dx.doi.org/10.3389/fpubh.2022.990848 Text en Copyright © 2022 Pasin, Cetin and Kaya. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Pasin, Ozge
Cetin, Sirin
Kaya, Ahmet Turan
Investigation of comorbidities of COVID-19 patients with hepatosteatosis using latent class analysis
title Investigation of comorbidities of COVID-19 patients with hepatosteatosis using latent class analysis
title_full Investigation of comorbidities of COVID-19 patients with hepatosteatosis using latent class analysis
title_fullStr Investigation of comorbidities of COVID-19 patients with hepatosteatosis using latent class analysis
title_full_unstemmed Investigation of comorbidities of COVID-19 patients with hepatosteatosis using latent class analysis
title_short Investigation of comorbidities of COVID-19 patients with hepatosteatosis using latent class analysis
title_sort investigation of comorbidities of covid-19 patients with hepatosteatosis using latent class analysis
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9558709/
https://www.ncbi.nlm.nih.gov/pubmed/36249206
http://dx.doi.org/10.3389/fpubh.2022.990848
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