دورية أكاديمية
أعرض في EDS

Spectrochemical analysis of blood combined with chemometric techniques for detecting osteosarcopenia.

التفاصيل البيبلوغرافية
العنوان: Spectrochemical analysis of blood combined with chemometric techniques for detecting osteosarcopenia.
المؤلفون: da Silva TG; Institute of Chemistry, Biological Chemistry and Chemometrics, Federal University of Rio Grande do Norte, Natal, 59075-970, Brazil., Morais CLM; Institute of Chemistry, Biological Chemistry and Chemometrics, Federal University of Rio Grande do Norte, Natal, 59075-970, Brazil., Santos MCD; Institute of Chemistry, Biological Chemistry and Chemometrics, Federal University of Rio Grande do Norte, Natal, 59075-970, Brazil.; Federal Institute of Education, Science and Technology of Sertão Pernambucano, Floresta, 56400-000, Brazil., de Lima LAS; Estácio de Sá Goiás, North Regional, Goiânia, GO, 74063-010, Brazil., de Medeiros Freitas RV; Postgraduation Program in Health Sciences, Federal University of Rio Grande do Norte, Natal, 59075-970, Brazil., Guerra RO; Postgraduation Program in Health Sciences, Federal University of Rio Grande do Norte, Natal, 59075-970, Brazil.; Postgraduation Program in Physiotherapy, Federal University of Rio Grande do Norte, Natal, 59075-970, Brazil.; Department of Physiotherapy, Federal University of Rio Grande do Norte, Natal, 59075-970, Brazil., Lima KMG; Institute of Chemistry, Biological Chemistry and Chemometrics, Federal University of Rio Grande do Norte, Natal, 59075-970, Brazil. kassio.lima@ufrn.br.
المصدر: Scientific reports [Sci Rep] 2023 Jun 15; Vol. 13 (1), pp. 9686. Date of Electronic Publication: 2023 Jun 15.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
أسماء مطبوعة: Original Publication: London : Nature Publishing Group, copyright 2011-
مواضيع طبية MeSH: Chemometrics* , Support Vector Machine*, Humans ; Female ; Aged ; Spectrophotometry, Infrared ; Principal Component Analysis ; Discriminant Analysis
مستخلص: Among several complications related to physiotherapy, osteosarcopenia is one of the most frequent in elderly patients. This condition is limiting and quite harmful to the patient's health by disabling several basic musculoskeletal activities. Currently, the test to identify this health condition is complex. In this study, we use mid-infrared spectroscopy combined with chemometric techniques to identify osteosarcopenia based on blood serum samples. The purpose of this study was to evaluate the mid-infrared spectroscopy power to detect osteosarcopenia in community-dwelling older women (n = 62, 30 from patients with osteosarcopenia and 32 healthy controls). Feature reduction and selection techniques were employed in conjunction with discriminant analysis, where a principal component analysis with support vector machines (PCA-SVM) model achieved 89% accuracy to distinguish the samples from patients with osteosarcopenia. This study shows the potential of using infrared spectroscopy of blood samples to identify osteosarcopenia in a simple, fast and objective way.
(© 2023. The Author(s).)
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تواريخ الأحداث: Date Created: 20230615 Date Completed: 20230619 Latest Revision: 20231121
رمز التحديث: 20231122
مُعرف محوري في PubMed: PMC10272198
DOI: 10.1038/s41598-023-36834-6
PMID: 37322087
قاعدة البيانات: MEDLINE
الوصف
تدمد:2045-2322
DOI:10.1038/s41598-023-36834-6