The Artificial Neural Network as a Diagnostic Tool of the Risk of Clostridioides difficile Infection among Patients with Chronic Kidney Disease

The majority of recently published studies indicate a greater incidence and mortality due to Clostridioides difficile infection (CDI) in patients with chronic kidney disease (CKD). Hospitalization, older age, the use of antibiotics, immunosuppression, proton pump inhibitors (PPI), and chronic diseas...

Descripción completa

Detalles Bibliográficos
Autores principales: Stojanowski, Jakub, Konieczny, Andrzej, Lis, Łukasz, Frosztęga, Weronika, Brzozowska, Patrycja, Ciszewska, Anna, Rydzyńska, Klaudia, Sroka, Michał, Krakowska, Kornelia, Gołębiowski, Tomasz, Hruby, Zbigniew, Kusztal, Mariusz, Krajewska, Magdalena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10380971/
https://www.ncbi.nlm.nih.gov/pubmed/37510869
http://dx.doi.org/10.3390/jcm12144751
_version_ 1785080327626031104
author Stojanowski, Jakub
Konieczny, Andrzej
Lis, Łukasz
Frosztęga, Weronika
Brzozowska, Patrycja
Ciszewska, Anna
Rydzyńska, Klaudia
Sroka, Michał
Krakowska, Kornelia
Gołębiowski, Tomasz
Hruby, Zbigniew
Kusztal, Mariusz
Krajewska, Magdalena
author_facet Stojanowski, Jakub
Konieczny, Andrzej
Lis, Łukasz
Frosztęga, Weronika
Brzozowska, Patrycja
Ciszewska, Anna
Rydzyńska, Klaudia
Sroka, Michał
Krakowska, Kornelia
Gołębiowski, Tomasz
Hruby, Zbigniew
Kusztal, Mariusz
Krajewska, Magdalena
author_sort Stojanowski, Jakub
collection PubMed
description The majority of recently published studies indicate a greater incidence and mortality due to Clostridioides difficile infection (CDI) in patients with chronic kidney disease (CKD). Hospitalization, older age, the use of antibiotics, immunosuppression, proton pump inhibitors (PPI), and chronic diseases such as CKD are responsible for the increased prevalence of infections. The aim of the study is to identify clinical indicators allowing, in combination with artificial intelligence (AI) techniques, the most accurate assessment of the patients being at elevated risk of CDI.
format Online
Article
Text
id pubmed-10380971
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-103809712023-07-29 The Artificial Neural Network as a Diagnostic Tool of the Risk of Clostridioides difficile Infection among Patients with Chronic Kidney Disease Stojanowski, Jakub Konieczny, Andrzej Lis, Łukasz Frosztęga, Weronika Brzozowska, Patrycja Ciszewska, Anna Rydzyńska, Klaudia Sroka, Michał Krakowska, Kornelia Gołębiowski, Tomasz Hruby, Zbigniew Kusztal, Mariusz Krajewska, Magdalena J Clin Med Article The majority of recently published studies indicate a greater incidence and mortality due to Clostridioides difficile infection (CDI) in patients with chronic kidney disease (CKD). Hospitalization, older age, the use of antibiotics, immunosuppression, proton pump inhibitors (PPI), and chronic diseases such as CKD are responsible for the increased prevalence of infections. The aim of the study is to identify clinical indicators allowing, in combination with artificial intelligence (AI) techniques, the most accurate assessment of the patients being at elevated risk of CDI. MDPI 2023-07-18 /pmc/articles/PMC10380971/ /pubmed/37510869 http://dx.doi.org/10.3390/jcm12144751 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Stojanowski, Jakub
Konieczny, Andrzej
Lis, Łukasz
Frosztęga, Weronika
Brzozowska, Patrycja
Ciszewska, Anna
Rydzyńska, Klaudia
Sroka, Michał
Krakowska, Kornelia
Gołębiowski, Tomasz
Hruby, Zbigniew
Kusztal, Mariusz
Krajewska, Magdalena
The Artificial Neural Network as a Diagnostic Tool of the Risk of Clostridioides difficile Infection among Patients with Chronic Kidney Disease
title The Artificial Neural Network as a Diagnostic Tool of the Risk of Clostridioides difficile Infection among Patients with Chronic Kidney Disease
title_full The Artificial Neural Network as a Diagnostic Tool of the Risk of Clostridioides difficile Infection among Patients with Chronic Kidney Disease
title_fullStr The Artificial Neural Network as a Diagnostic Tool of the Risk of Clostridioides difficile Infection among Patients with Chronic Kidney Disease
title_full_unstemmed The Artificial Neural Network as a Diagnostic Tool of the Risk of Clostridioides difficile Infection among Patients with Chronic Kidney Disease
title_short The Artificial Neural Network as a Diagnostic Tool of the Risk of Clostridioides difficile Infection among Patients with Chronic Kidney Disease
title_sort artificial neural network as a diagnostic tool of the risk of clostridioides difficile infection among patients with chronic kidney disease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10380971/
https://www.ncbi.nlm.nih.gov/pubmed/37510869
http://dx.doi.org/10.3390/jcm12144751
work_keys_str_mv AT stojanowskijakub theartificialneuralnetworkasadiagnostictooloftheriskofclostridioidesdifficileinfectionamongpatientswithchronickidneydisease
AT koniecznyandrzej theartificialneuralnetworkasadiagnostictooloftheriskofclostridioidesdifficileinfectionamongpatientswithchronickidneydisease
AT lisłukasz theartificialneuralnetworkasadiagnostictooloftheriskofclostridioidesdifficileinfectionamongpatientswithchronickidneydisease
AT frosztegaweronika theartificialneuralnetworkasadiagnostictooloftheriskofclostridioidesdifficileinfectionamongpatientswithchronickidneydisease
AT brzozowskapatrycja theartificialneuralnetworkasadiagnostictooloftheriskofclostridioidesdifficileinfectionamongpatientswithchronickidneydisease
AT ciszewskaanna theartificialneuralnetworkasadiagnostictooloftheriskofclostridioidesdifficileinfectionamongpatientswithchronickidneydisease
AT rydzynskaklaudia theartificialneuralnetworkasadiagnostictooloftheriskofclostridioidesdifficileinfectionamongpatientswithchronickidneydisease
AT srokamichał theartificialneuralnetworkasadiagnostictooloftheriskofclostridioidesdifficileinfectionamongpatientswithchronickidneydisease
AT krakowskakornelia theartificialneuralnetworkasadiagnostictooloftheriskofclostridioidesdifficileinfectionamongpatientswithchronickidneydisease
AT gołebiowskitomasz theartificialneuralnetworkasadiagnostictooloftheriskofclostridioidesdifficileinfectionamongpatientswithchronickidneydisease
AT hrubyzbigniew theartificialneuralnetworkasadiagnostictooloftheriskofclostridioidesdifficileinfectionamongpatientswithchronickidneydisease
AT kusztalmariusz theartificialneuralnetworkasadiagnostictooloftheriskofclostridioidesdifficileinfectionamongpatientswithchronickidneydisease
AT krajewskamagdalena theartificialneuralnetworkasadiagnostictooloftheriskofclostridioidesdifficileinfectionamongpatientswithchronickidneydisease
AT stojanowskijakub artificialneuralnetworkasadiagnostictooloftheriskofclostridioidesdifficileinfectionamongpatientswithchronickidneydisease
AT koniecznyandrzej artificialneuralnetworkasadiagnostictooloftheriskofclostridioidesdifficileinfectionamongpatientswithchronickidneydisease
AT lisłukasz artificialneuralnetworkasadiagnostictooloftheriskofclostridioidesdifficileinfectionamongpatientswithchronickidneydisease
AT frosztegaweronika artificialneuralnetworkasadiagnostictooloftheriskofclostridioidesdifficileinfectionamongpatientswithchronickidneydisease
AT brzozowskapatrycja artificialneuralnetworkasadiagnostictooloftheriskofclostridioidesdifficileinfectionamongpatientswithchronickidneydisease
AT ciszewskaanna artificialneuralnetworkasadiagnostictooloftheriskofclostridioidesdifficileinfectionamongpatientswithchronickidneydisease
AT rydzynskaklaudia artificialneuralnetworkasadiagnostictooloftheriskofclostridioidesdifficileinfectionamongpatientswithchronickidneydisease
AT srokamichał artificialneuralnetworkasadiagnostictooloftheriskofclostridioidesdifficileinfectionamongpatientswithchronickidneydisease
AT krakowskakornelia artificialneuralnetworkasadiagnostictooloftheriskofclostridioidesdifficileinfectionamongpatientswithchronickidneydisease
AT gołebiowskitomasz artificialneuralnetworkasadiagnostictooloftheriskofclostridioidesdifficileinfectionamongpatientswithchronickidneydisease
AT hrubyzbigniew artificialneuralnetworkasadiagnostictooloftheriskofclostridioidesdifficileinfectionamongpatientswithchronickidneydisease
AT kusztalmariusz artificialneuralnetworkasadiagnostictooloftheriskofclostridioidesdifficileinfectionamongpatientswithchronickidneydisease
AT krajewskamagdalena artificialneuralnetworkasadiagnostictooloftheriskofclostridioidesdifficileinfectionamongpatientswithchronickidneydisease

Ejemplares similares