Cargando…

Network meta-analysis of deaths from various underlying diseases after COVID-19 infection

Network meta-analysis of deaths from various underlying diseases after COVID-19 infection. This study included more than 10 research centers with the same level of care. In total, 1,676 subjects were included in our study, including 1,122 men and 554 women, patients diagnosed with COVID-19, and comb...

Descripción completa

Detalles Bibliográficos
Autores principales: Yang, Jinqiang, Li, Ming, Zhang, Renmin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9452881/
https://www.ncbi.nlm.nih.gov/pubmed/36091527
http://dx.doi.org/10.3389/fpubh.2022.959073
_version_ 1784785014756474880
author Yang, Jinqiang
Li, Ming
Zhang, Renmin
author_facet Yang, Jinqiang
Li, Ming
Zhang, Renmin
author_sort Yang, Jinqiang
collection PubMed
description Network meta-analysis of deaths from various underlying diseases after COVID-19 infection. This study included more than 10 research centers with the same level of care. In total, 1,676 subjects were included in our study, including 1,122 men and 554 women, patients diagnosed with COVID-19, and combined with underlying diseases; provided data on the number of deaths from related diseases, such as hypertension, diabetes, heart disease, cerebrovascular disease, malignant tumor, chronic kidney disease, chronic liver disease, and respiratory disease. The comparison RR between hypertension and different diseases shows that it is (RR = 2.35, 95% CI: 1.47, 3.98) compared with diabetes, compared with coronary heart disease (RR = 2.57, 95% CI: 1.5, 4.4), compared with cerebrovascular disease (RR = 3.68, 95% CI: 1.87, 7.29), compared with malignant tumor (RR = 6.35, 95% CI: 3.45, 11.97), and compared with chronic kidney disease (RR = 5.53 95% CI: 3.04, 10.34), compared with chronic liver disease (RR = 15.51, 95% CI: 5.26, 50.98), compared with respiratory diseases (RR = 4.35, 95% CI: 2.37, 7.65), RR values are >1, which is statistically significant. The surface under the cumulative ranking curve (SUCRA) showed that the ranking of disease mortality from high to low was hypertension> diabetes> heart disease> cerebrovascular disease> respiratory disease> chronic kidney disease> malignant tumor> chronic liver disease. The study that hypertension, diabetes, and heart disease are the top three risk factors for patients infected with COVID-19, and management of these patients should be strengthened to improve the prognosis of patients. Ethical approval and patient consent are not required as this study is a meta-analysis based on published studies. The results of this network meta-analysis will be submitted to a peer-reviewed journal for the publication.
format Online
Article
Text
id pubmed-9452881
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-94528812022-09-09 Network meta-analysis of deaths from various underlying diseases after COVID-19 infection Yang, Jinqiang Li, Ming Zhang, Renmin Front Public Health Public Health Network meta-analysis of deaths from various underlying diseases after COVID-19 infection. This study included more than 10 research centers with the same level of care. In total, 1,676 subjects were included in our study, including 1,122 men and 554 women, patients diagnosed with COVID-19, and combined with underlying diseases; provided data on the number of deaths from related diseases, such as hypertension, diabetes, heart disease, cerebrovascular disease, malignant tumor, chronic kidney disease, chronic liver disease, and respiratory disease. The comparison RR between hypertension and different diseases shows that it is (RR = 2.35, 95% CI: 1.47, 3.98) compared with diabetes, compared with coronary heart disease (RR = 2.57, 95% CI: 1.5, 4.4), compared with cerebrovascular disease (RR = 3.68, 95% CI: 1.87, 7.29), compared with malignant tumor (RR = 6.35, 95% CI: 3.45, 11.97), and compared with chronic kidney disease (RR = 5.53 95% CI: 3.04, 10.34), compared with chronic liver disease (RR = 15.51, 95% CI: 5.26, 50.98), compared with respiratory diseases (RR = 4.35, 95% CI: 2.37, 7.65), RR values are >1, which is statistically significant. The surface under the cumulative ranking curve (SUCRA) showed that the ranking of disease mortality from high to low was hypertension> diabetes> heart disease> cerebrovascular disease> respiratory disease> chronic kidney disease> malignant tumor> chronic liver disease. The study that hypertension, diabetes, and heart disease are the top three risk factors for patients infected with COVID-19, and management of these patients should be strengthened to improve the prognosis of patients. Ethical approval and patient consent are not required as this study is a meta-analysis based on published studies. The results of this network meta-analysis will be submitted to a peer-reviewed journal for the publication. Frontiers Media S.A. 2022-08-25 /pmc/articles/PMC9452881/ /pubmed/36091527 http://dx.doi.org/10.3389/fpubh.2022.959073 Text en Copyright © 2022 Yang, Li and Zhang. 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
Yang, Jinqiang
Li, Ming
Zhang, Renmin
Network meta-analysis of deaths from various underlying diseases after COVID-19 infection
title Network meta-analysis of deaths from various underlying diseases after COVID-19 infection
title_full Network meta-analysis of deaths from various underlying diseases after COVID-19 infection
title_fullStr Network meta-analysis of deaths from various underlying diseases after COVID-19 infection
title_full_unstemmed Network meta-analysis of deaths from various underlying diseases after COVID-19 infection
title_short Network meta-analysis of deaths from various underlying diseases after COVID-19 infection
title_sort network meta-analysis of deaths from various underlying diseases after covid-19 infection
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9452881/
https://www.ncbi.nlm.nih.gov/pubmed/36091527
http://dx.doi.org/10.3389/fpubh.2022.959073
work_keys_str_mv AT yangjinqiang networkmetaanalysisofdeathsfromvariousunderlyingdiseasesaftercovid19infection
AT liming networkmetaanalysisofdeathsfromvariousunderlyingdiseasesaftercovid19infection
AT zhangrenmin networkmetaanalysisofdeathsfromvariousunderlyingdiseasesaftercovid19infection