Cargando…

Predictors of Mortality in Critically Ill Patients With Antineutrophil Cytoplasmic Antibody-Associated Vasculitis

Background: Patients with antineutrophil cytoplasmic antibody-associated vasculitis (AAV) may require intensive care unit (ICU) admission due to different reasons, and the in-ICU mortality is high among AAV patients. The aim of this study was to explore the clinical features and risk factors of mort...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Yuqi, Guo, Jinyan, Zhang, Panpan, Zhang, Lei, Duan, Xiaoguang, Shi, Xiaofei, Guo, Nailiang, Liu, Shengyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8573203/
https://www.ncbi.nlm.nih.gov/pubmed/34760903
http://dx.doi.org/10.3389/fmed.2021.762004
_version_ 1784595371555553280
author Zhang, Yuqi
Guo, Jinyan
Zhang, Panpan
Zhang, Lei
Duan, Xiaoguang
Shi, Xiaofei
Guo, Nailiang
Liu, Shengyun
author_facet Zhang, Yuqi
Guo, Jinyan
Zhang, Panpan
Zhang, Lei
Duan, Xiaoguang
Shi, Xiaofei
Guo, Nailiang
Liu, Shengyun
author_sort Zhang, Yuqi
collection PubMed
description Background: Patients with antineutrophil cytoplasmic antibody-associated vasculitis (AAV) may require intensive care unit (ICU) admission due to different reasons, and the in-ICU mortality is high among AAV patients. The aim of this study was to explore the clinical features and risk factors of mortality of patients with AAV in the ICU. Methods: A retrospective study was conducted based on 83 AAV patients admitted to the ICU in a tertiary medical institution in China. Data on clinical characteristics, laboratory tests, treatment in ICU and outcomes were collected. The data were analyzed using univariate and multivariate logistic regression analysis to explore the variables that were independently related to mortality. Kaplan–Meier method was used to assess the long-term survival. Results: Among the 83 patients, 41 (49.4%) were female. The mean age of patients was 66 ± 13 years. Forty-four patients deceased, with the in-ICU mortality of 53%. The most common cause for ICU admission was active vasculitis (40/83, 48.2%). The main cause of death was infection (27/44, 61.4%) followed by active vasculitis (15/44, 34.1%). A multivariate analysis revealed that the Acute Physiology and Chronic Health Evaluation II (APACHE II) at ICU admission (OR = 1.333, 95% CI: 1.031–1.722) and respiratory failure (OR = 620.452, 95% CI: 11.495–33490.306) were independent risk factors of in-ICU death. However, hemoglobin (OR = 0.919, 95% CI: 0.849–0.995) was an independent protective factor. The nomogram established in this study was practical in predicting the risk of in-ICU mortality for AAV patients. Moreover, for 39 patients survived to the ICU stay, the cumulative survival rates at 0.5, 1, and 5 years were 58.3%, 54.2%, and 33.9%, respectively, and the median survival time was 14 months. Conclusion: In our study, active vasculitis was the most frequent reason for ICU admission, and the main cause of death was infection. APACHE II and respiratory failure were independent risk factors while hemoglobin was an independent protective factor of in-ICU mortality for AAV patients admitted to the ICU. The risk prediction model developed in this study may be a useful tool for clinicians in early recognition of high-risk patients and applying appropriate management.
format Online
Article
Text
id pubmed-8573203
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-85732032021-11-09 Predictors of Mortality in Critically Ill Patients With Antineutrophil Cytoplasmic Antibody-Associated Vasculitis Zhang, Yuqi Guo, Jinyan Zhang, Panpan Zhang, Lei Duan, Xiaoguang Shi, Xiaofei Guo, Nailiang Liu, Shengyun Front Med (Lausanne) Medicine Background: Patients with antineutrophil cytoplasmic antibody-associated vasculitis (AAV) may require intensive care unit (ICU) admission due to different reasons, and the in-ICU mortality is high among AAV patients. The aim of this study was to explore the clinical features and risk factors of mortality of patients with AAV in the ICU. Methods: A retrospective study was conducted based on 83 AAV patients admitted to the ICU in a tertiary medical institution in China. Data on clinical characteristics, laboratory tests, treatment in ICU and outcomes were collected. The data were analyzed using univariate and multivariate logistic regression analysis to explore the variables that were independently related to mortality. Kaplan–Meier method was used to assess the long-term survival. Results: Among the 83 patients, 41 (49.4%) were female. The mean age of patients was 66 ± 13 years. Forty-four patients deceased, with the in-ICU mortality of 53%. The most common cause for ICU admission was active vasculitis (40/83, 48.2%). The main cause of death was infection (27/44, 61.4%) followed by active vasculitis (15/44, 34.1%). A multivariate analysis revealed that the Acute Physiology and Chronic Health Evaluation II (APACHE II) at ICU admission (OR = 1.333, 95% CI: 1.031–1.722) and respiratory failure (OR = 620.452, 95% CI: 11.495–33490.306) were independent risk factors of in-ICU death. However, hemoglobin (OR = 0.919, 95% CI: 0.849–0.995) was an independent protective factor. The nomogram established in this study was practical in predicting the risk of in-ICU mortality for AAV patients. Moreover, for 39 patients survived to the ICU stay, the cumulative survival rates at 0.5, 1, and 5 years were 58.3%, 54.2%, and 33.9%, respectively, and the median survival time was 14 months. Conclusion: In our study, active vasculitis was the most frequent reason for ICU admission, and the main cause of death was infection. APACHE II and respiratory failure were independent risk factors while hemoglobin was an independent protective factor of in-ICU mortality for AAV patients admitted to the ICU. The risk prediction model developed in this study may be a useful tool for clinicians in early recognition of high-risk patients and applying appropriate management. Frontiers Media S.A. 2021-10-25 /pmc/articles/PMC8573203/ /pubmed/34760903 http://dx.doi.org/10.3389/fmed.2021.762004 Text en Copyright © 2021 Zhang, Guo, Zhang, Zhang, Duan, Shi, Guo and Liu. 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 Medicine
Zhang, Yuqi
Guo, Jinyan
Zhang, Panpan
Zhang, Lei
Duan, Xiaoguang
Shi, Xiaofei
Guo, Nailiang
Liu, Shengyun
Predictors of Mortality in Critically Ill Patients With Antineutrophil Cytoplasmic Antibody-Associated Vasculitis
title Predictors of Mortality in Critically Ill Patients With Antineutrophil Cytoplasmic Antibody-Associated Vasculitis
title_full Predictors of Mortality in Critically Ill Patients With Antineutrophil Cytoplasmic Antibody-Associated Vasculitis
title_fullStr Predictors of Mortality in Critically Ill Patients With Antineutrophil Cytoplasmic Antibody-Associated Vasculitis
title_full_unstemmed Predictors of Mortality in Critically Ill Patients With Antineutrophil Cytoplasmic Antibody-Associated Vasculitis
title_short Predictors of Mortality in Critically Ill Patients With Antineutrophil Cytoplasmic Antibody-Associated Vasculitis
title_sort predictors of mortality in critically ill patients with antineutrophil cytoplasmic antibody-associated vasculitis
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8573203/
https://www.ncbi.nlm.nih.gov/pubmed/34760903
http://dx.doi.org/10.3389/fmed.2021.762004
work_keys_str_mv AT zhangyuqi predictorsofmortalityincriticallyillpatientswithantineutrophilcytoplasmicantibodyassociatedvasculitis
AT guojinyan predictorsofmortalityincriticallyillpatientswithantineutrophilcytoplasmicantibodyassociatedvasculitis
AT zhangpanpan predictorsofmortalityincriticallyillpatientswithantineutrophilcytoplasmicantibodyassociatedvasculitis
AT zhanglei predictorsofmortalityincriticallyillpatientswithantineutrophilcytoplasmicantibodyassociatedvasculitis
AT duanxiaoguang predictorsofmortalityincriticallyillpatientswithantineutrophilcytoplasmicantibodyassociatedvasculitis
AT shixiaofei predictorsofmortalityincriticallyillpatientswithantineutrophilcytoplasmicantibodyassociatedvasculitis
AT guonailiang predictorsofmortalityincriticallyillpatientswithantineutrophilcytoplasmicantibodyassociatedvasculitis
AT liushengyun predictorsofmortalityincriticallyillpatientswithantineutrophilcytoplasmicantibodyassociatedvasculitis