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Survival rate in patients with ICU-acquired infections and its related factors in Iran’s hospitals

BACKGROUND: Hospital-acquired infections (HAIs) are a well-known cause of morbidity and mortality in hospitalized patients. This study aimed at investigating the survival rate in patients with ICU-acquired infections (ICU-AIs) and its related factors in Iran’s hospitals. METHODS: Data were obtained...

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Autores principales: Etemad, MEDSKorosh, Khani, Yousef, Hashemi-Nazari, Seyed-Saeed, Izadi, Neda, Eshrati, Babak, Mehrabi, Yadollah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8065317/
https://www.ncbi.nlm.nih.gov/pubmed/33894766
http://dx.doi.org/10.1186/s12889-021-10857-y
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author Etemad, MEDSKorosh
Khani, Yousef
Hashemi-Nazari, Seyed-Saeed
Izadi, Neda
Eshrati, Babak
Mehrabi, Yadollah
author_facet Etemad, MEDSKorosh
Khani, Yousef
Hashemi-Nazari, Seyed-Saeed
Izadi, Neda
Eshrati, Babak
Mehrabi, Yadollah
author_sort Etemad, MEDSKorosh
collection PubMed
description BACKGROUND: Hospital-acquired infections (HAIs) are a well-known cause of morbidity and mortality in hospitalized patients. This study aimed at investigating the survival rate in patients with ICU-acquired infections (ICU-AIs) and its related factors in Iran’s hospitals. METHODS: Data were obtained from the Iranian Nosocomial Infections Surveillance (INIS), which registers all necessary information on the main types of infection from different units of each included hospital. One thousand one hundred thirty-four duplicate cases were removed from the analysis using the variables of name, father’s name, age, hospital code, infection code, and bedridden date. From 2016 to 2019, 32,998 patients diagnosed with ICU-AI from about 547 hospitals. All patients were followed up to February 29, 2020. RESULTS: The median age of patients with ICU-AIs was 61 (IQR = 46) years. 45.5, 20.69, 17.63, 12.08, and 4.09% of infections were observed in general, surgical, internal, neonatal and pediatric ICUs, respectively. Acinetobacter (16.52%), E.coli (12.01%), and Klebsiella (9.93%) were the major types of microorganisms. From total, 40.76% of infected patients (13,449 patients) died. The 1, 3, 6-months and overall survival rate was 70, 25.72, 8.21 1.48% in ICU-AI patients, respectively. The overall survival rate was 5.12, 1.34, 0.0, 51.65, and 31.08% for surgical, general, internal, neonatal and pediatric ICU, respectively. Hazard ratio shows a significant relationship between age, hospitalization-infection length, infection type, and microorganism and risk of death in patients with ICU-AI. CONCLUSIONS: Based on the results, it seems that the nosocomial infections surveillance system should be more intelligent. This intelligence should act differently based on related factors such as the age of patients, hospitalization-infection length, infection type, microorganism and type of ward. In other words, this system should be able to dynamically provide the necessary and timely warnings based on the factors affecting the survival rate of infection due to the identification, intervention and measures to prevent the spread of HAIs based on a risk severity system. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-10857-y.
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spelling pubmed-80653172021-04-26 Survival rate in patients with ICU-acquired infections and its related factors in Iran’s hospitals Etemad, MEDSKorosh Khani, Yousef Hashemi-Nazari, Seyed-Saeed Izadi, Neda Eshrati, Babak Mehrabi, Yadollah BMC Public Health Research BACKGROUND: Hospital-acquired infections (HAIs) are a well-known cause of morbidity and mortality in hospitalized patients. This study aimed at investigating the survival rate in patients with ICU-acquired infections (ICU-AIs) and its related factors in Iran’s hospitals. METHODS: Data were obtained from the Iranian Nosocomial Infections Surveillance (INIS), which registers all necessary information on the main types of infection from different units of each included hospital. One thousand one hundred thirty-four duplicate cases were removed from the analysis using the variables of name, father’s name, age, hospital code, infection code, and bedridden date. From 2016 to 2019, 32,998 patients diagnosed with ICU-AI from about 547 hospitals. All patients were followed up to February 29, 2020. RESULTS: The median age of patients with ICU-AIs was 61 (IQR = 46) years. 45.5, 20.69, 17.63, 12.08, and 4.09% of infections were observed in general, surgical, internal, neonatal and pediatric ICUs, respectively. Acinetobacter (16.52%), E.coli (12.01%), and Klebsiella (9.93%) were the major types of microorganisms. From total, 40.76% of infected patients (13,449 patients) died. The 1, 3, 6-months and overall survival rate was 70, 25.72, 8.21 1.48% in ICU-AI patients, respectively. The overall survival rate was 5.12, 1.34, 0.0, 51.65, and 31.08% for surgical, general, internal, neonatal and pediatric ICU, respectively. Hazard ratio shows a significant relationship between age, hospitalization-infection length, infection type, and microorganism and risk of death in patients with ICU-AI. CONCLUSIONS: Based on the results, it seems that the nosocomial infections surveillance system should be more intelligent. This intelligence should act differently based on related factors such as the age of patients, hospitalization-infection length, infection type, microorganism and type of ward. In other words, this system should be able to dynamically provide the necessary and timely warnings based on the factors affecting the survival rate of infection due to the identification, intervention and measures to prevent the spread of HAIs based on a risk severity system. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-10857-y. BioMed Central 2021-04-24 /pmc/articles/PMC8065317/ /pubmed/33894766 http://dx.doi.org/10.1186/s12889-021-10857-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Etemad, MEDSKorosh
Khani, Yousef
Hashemi-Nazari, Seyed-Saeed
Izadi, Neda
Eshrati, Babak
Mehrabi, Yadollah
Survival rate in patients with ICU-acquired infections and its related factors in Iran’s hospitals
title Survival rate in patients with ICU-acquired infections and its related factors in Iran’s hospitals
title_full Survival rate in patients with ICU-acquired infections and its related factors in Iran’s hospitals
title_fullStr Survival rate in patients with ICU-acquired infections and its related factors in Iran’s hospitals
title_full_unstemmed Survival rate in patients with ICU-acquired infections and its related factors in Iran’s hospitals
title_short Survival rate in patients with ICU-acquired infections and its related factors in Iran’s hospitals
title_sort survival rate in patients with icu-acquired infections and its related factors in iran’s hospitals
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8065317/
https://www.ncbi.nlm.nih.gov/pubmed/33894766
http://dx.doi.org/10.1186/s12889-021-10857-y
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