Univariate Analysis of Short-Chain Fatty Acids Related to Sudden Infant Death Syndrome
| Autor: | José M. Celaya-Padilla, Hamurabi Gamboa-Rosales, Laura A. Zanella-Calzada, Karen E. Villagrana-Bañuelos, Arturo Moreno-Baez, Jorge I. Galván-Tejada, Huizilopoztli Luna-García, Carlos E. Galván-Tejada |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Multivariate statistics
sudden infant death syndrome Clinical Biochemistry short-chain fatty acids Physiology Article 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Common fund Medicine 030216 legal & forensic medicine Cause of death chemistry.chemical_classification lcsh:R5-920 Univariate analysis Receiver operating characteristic business.industry Univariate Fatty acid Sudden infant death syndrome univariate analysis chemistry generalized linear model lcsh:Medicine (General) business |
| Zdroj: | Diagnostics Volume 10 Issue 11 Diagnostics, Vol 10, Iss 896, p 896 (2020) |
| ISSN: | 2075-4418 |
| DOI: | 10.3390/diagnostics10110896 |
| Popis: | Sudden infant death syndrome (SIDS) is defined as the death of a child under one year of age, during sleep, without apparent cause, after exhaustive investigation, so it is a diagnosis of exclusion. SIDS is the principal cause of death in industrialized countries. Inborn errors of metabolism (IEM) have been related to SIDS. These errors are a group of conditions characterized by the accumulation of toxic substances usually produced by an enzyme defect and there are thousands of them and included are the disorders of the &beta oxidation cycle, similarly to what can affect the metabolism of different types of fatty acid chain (within these, short chain fatty acids (SCFAs)). In this work, an analysis of postmortem SCFAs profiles of children who died due to SIDS is proposed. Initially, a set of features containing SCFAs information, obtained from the NIH Common Fund&rsquo s National Metabolomics Data Repository (NMDR) is submitted to an univariate analysis, developing a model based on the relationship between each feature and the binary output (death due to SIDS or not), obtaining 11 univariate models. Then, each model is validated, calculating their receiver operating characteristic curve (ROC curve) and area under the ROC curve (AUC) value. For those features whose models presented an AUC value higher than 0.650, a new multivariate model is constructed, in order to validate its behavior in comparison to the univariate models. In addition, a comparison between this multivariate model and a model developed based on the whole set of features is finally performed. From the results, it can be observed that each SCFA which comprises of the SFCAs profile, has a relationship with SIDS and could help in risk identification. |
| Databáze: | OpenAIRE |
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