Diagnosis of pathological conditions through electronic nose analysis of urine samples: a systematic review and meta-analysis

Detalhes bibliográficos
Autor(a) principal: Afonso, HAS
Data de Publicação: 2022
Outros Autores: Farraia, MV, Vieira, MA, Cavaleiro Rufo, J
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/151675
Resumo: Currently available urinalysis methods are often applied for screening and monitoring of several pathologies. However, traditionally analyzed biomarkers in urinalysis still lack sensitivity and specificity to accurately diagnose some diseases. Several studies have proposed the use of electronic noses (eNoses) for the analysis of volatile organic compounds in urine samples that may, directly or indirectly, correlate with certain pathologies. Hence, the aim of this study was to perform a systematic review and meta-analysis of studies concerning the use of portable electronic noses for diagnosis or monitoring of pathologies through analysis of urine samples. A systematic review of the literature was held according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Twenty-four articles met the inclusion criteria and were included in the analysis. The results of the revised studies showed that there are various volatile organic compound profiles, identified through eNose analysis, that may be applied for diagnosis or monitoring of several diseases, such as diabetes, urinary tract infection, inflammatory bowel disease, and kidney disease. A meta-analysis was conducted taking into consideration the data of 10 of the initial 24 articles. The pooled sensitivity, specificity, and diagnostic odds ratio were 84% (95% CI, 0.72–0.92), 85% (95% CI, 0.75–0.91), and 24.17 (95% CI: 7.85–74.41), respectively. The area under the receiver operating characteristic curve was 0.897. These results suggest that eNose technology has adequate diagnostic accuracy for several pathologies and could be a promising screening tool for clinical settings. However, more studies are needed to reduce heterogeneity between results.
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spelling Diagnosis of pathological conditions through electronic nose analysis of urine samples: a systematic review and meta-analysisCurrently available urinalysis methods are often applied for screening and monitoring of several pathologies. However, traditionally analyzed biomarkers in urinalysis still lack sensitivity and specificity to accurately diagnose some diseases. Several studies have proposed the use of electronic noses (eNoses) for the analysis of volatile organic compounds in urine samples that may, directly or indirectly, correlate with certain pathologies. Hence, the aim of this study was to perform a systematic review and meta-analysis of studies concerning the use of portable electronic noses for diagnosis or monitoring of pathologies through analysis of urine samples. A systematic review of the literature was held according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Twenty-four articles met the inclusion criteria and were included in the analysis. The results of the revised studies showed that there are various volatile organic compound profiles, identified through eNose analysis, that may be applied for diagnosis or monitoring of several diseases, such as diabetes, urinary tract infection, inflammatory bowel disease, and kidney disease. A meta-analysis was conducted taking into consideration the data of 10 of the initial 24 articles. The pooled sensitivity, specificity, and diagnostic odds ratio were 84% (95% CI, 0.72–0.92), 85% (95% CI, 0.75–0.91), and 24.17 (95% CI: 7.85–74.41), respectively. The area under the receiver operating characteristic curve was 0.897. These results suggest that eNose technology has adequate diagnostic accuracy for several pathologies and could be a promising screening tool for clinical settings. However, more studies are needed to reduce heterogeneity between results.Wolters Kluwer Health20222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10216/151675eng2444-866410.1097/j.pbj.0000000000000188Afonso, HASFarraia, MVVieira, MACavaleiro Rufo, Jinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T14:14:14Zoai:repositorio-aberto.up.pt:10216/151675Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:57:33.555952Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Diagnosis of pathological conditions through electronic nose analysis of urine samples: a systematic review and meta-analysis
title Diagnosis of pathological conditions through electronic nose analysis of urine samples: a systematic review and meta-analysis
spellingShingle Diagnosis of pathological conditions through electronic nose analysis of urine samples: a systematic review and meta-analysis
Afonso, HAS
title_short Diagnosis of pathological conditions through electronic nose analysis of urine samples: a systematic review and meta-analysis
title_full Diagnosis of pathological conditions through electronic nose analysis of urine samples: a systematic review and meta-analysis
title_fullStr Diagnosis of pathological conditions through electronic nose analysis of urine samples: a systematic review and meta-analysis
title_full_unstemmed Diagnosis of pathological conditions through electronic nose analysis of urine samples: a systematic review and meta-analysis
title_sort Diagnosis of pathological conditions through electronic nose analysis of urine samples: a systematic review and meta-analysis
author Afonso, HAS
author_facet Afonso, HAS
Farraia, MV
Vieira, MA
Cavaleiro Rufo, J
author_role author
author2 Farraia, MV
Vieira, MA
Cavaleiro Rufo, J
author2_role author
author
author
dc.contributor.author.fl_str_mv Afonso, HAS
Farraia, MV
Vieira, MA
Cavaleiro Rufo, J
description Currently available urinalysis methods are often applied for screening and monitoring of several pathologies. However, traditionally analyzed biomarkers in urinalysis still lack sensitivity and specificity to accurately diagnose some diseases. Several studies have proposed the use of electronic noses (eNoses) for the analysis of volatile organic compounds in urine samples that may, directly or indirectly, correlate with certain pathologies. Hence, the aim of this study was to perform a systematic review and meta-analysis of studies concerning the use of portable electronic noses for diagnosis or monitoring of pathologies through analysis of urine samples. A systematic review of the literature was held according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Twenty-four articles met the inclusion criteria and were included in the analysis. The results of the revised studies showed that there are various volatile organic compound profiles, identified through eNose analysis, that may be applied for diagnosis or monitoring of several diseases, such as diabetes, urinary tract infection, inflammatory bowel disease, and kidney disease. A meta-analysis was conducted taking into consideration the data of 10 of the initial 24 articles. The pooled sensitivity, specificity, and diagnostic odds ratio were 84% (95% CI, 0.72–0.92), 85% (95% CI, 0.75–0.91), and 24.17 (95% CI: 7.85–74.41), respectively. The area under the receiver operating characteristic curve was 0.897. These results suggest that eNose technology has adequate diagnostic accuracy for several pathologies and could be a promising screening tool for clinical settings. However, more studies are needed to reduce heterogeneity between results.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-01-01T00:00:00Z
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url https://hdl.handle.net/10216/151675
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language eng
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10.1097/j.pbj.0000000000000188
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dc.publisher.none.fl_str_mv Wolters Kluwer Health
publisher.none.fl_str_mv Wolters Kluwer Health
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