Predicting anemia using NIR spectrum of spent dialysis fluid in hemodialysis patients

Abstract Anemia is commonly present in hemodialysis (HD) patients and significantly affects their survival and quality of life. NIR spectroscopy and machine learning were used as a method to detect anemia in hemodialysis patients. The aim of this investigation has been to evaluate the near-infrared...

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Autores principales:	Valentina Matović, Branislava Jeftić, Jasna Trbojević-Stanković, Lidija Matija
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/731c06a7afd64f1eb329bb109e479dc4
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spelling	oai:doaj.org-article:731c06a7afd64f1eb329bb109e479dc42021-12-02T14:58:32ZPredicting anemia using NIR spectrum of spent dialysis fluid in hemodialysis patients10.1038/s41598-021-88821-42045-2322https://doaj.org/article/731c06a7afd64f1eb329bb109e479dc42021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-88821-4https://doaj.org/toc/2045-2322Abstract Anemia is commonly present in hemodialysis (HD) patients and significantly affects their survival and quality of life. NIR spectroscopy and machine learning were used as a method to detect anemia in hemodialysis patients. The aim of this investigation has been to evaluate the near-infrared spectroscopy (NIRS) as a method for non-invasive on-line detection of anemia parameters from HD effluent by assessing the correlation between the spectrum of spent dialysate in the wavelength range of 700–1700 nm and the levels of hemoglobin (Hb), red blood cells (RBC), hematocrit (Hct), iron (Fe), total iron binding capacity (TIBC), ferritin (FER), mean corpuscular volume (MCV) and mean corpuscular hemoglobin concentration (MCHC) in patient blood. The obtained correlation coefficient (R) for RBC was 0.93, for Hb 0.92, for Fe 0.94, for TIBC 0.96, for FER 0.91, for Hct 0.94, for MCV 0.92, for MCHC 0.92 and for MCH 0.93. The observed high correlations between the NIR spectrum of the dialysate fluid and the levels of the studied variables support the use of NIRS as a promising method for on-line monitoring of anemia and iron saturation parameters in HD patients.Valentina MatovićBranislava JeftićJasna Trbojević-StankovićLidija MatijaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Valentina Matović Branislava Jeftić Jasna Trbojević-Stanković Lidija Matija Predicting anemia using NIR spectrum of spent dialysis fluid in hemodialysis patients
description	Abstract Anemia is commonly present in hemodialysis (HD) patients and significantly affects their survival and quality of life. NIR spectroscopy and machine learning were used as a method to detect anemia in hemodialysis patients. The aim of this investigation has been to evaluate the near-infrared spectroscopy (NIRS) as a method for non-invasive on-line detection of anemia parameters from HD effluent by assessing the correlation between the spectrum of spent dialysate in the wavelength range of 700–1700 nm and the levels of hemoglobin (Hb), red blood cells (RBC), hematocrit (Hct), iron (Fe), total iron binding capacity (TIBC), ferritin (FER), mean corpuscular volume (MCV) and mean corpuscular hemoglobin concentration (MCHC) in patient blood. The obtained correlation coefficient (R) for RBC was 0.93, for Hb 0.92, for Fe 0.94, for TIBC 0.96, for FER 0.91, for Hct 0.94, for MCV 0.92, for MCHC 0.92 and for MCH 0.93. The observed high correlations between the NIR spectrum of the dialysate fluid and the levels of the studied variables support the use of NIRS as a promising method for on-line monitoring of anemia and iron saturation parameters in HD patients.
format	article
author	Valentina Matović Branislava Jeftić Jasna Trbojević-Stanković Lidija Matija
author_facet	Valentina Matović Branislava Jeftić Jasna Trbojević-Stanković Lidija Matija
author_sort	Valentina Matović
title	Predicting anemia using NIR spectrum of spent dialysis fluid in hemodialysis patients
title_short	Predicting anemia using NIR spectrum of spent dialysis fluid in hemodialysis patients
title_full	Predicting anemia using NIR spectrum of spent dialysis fluid in hemodialysis patients
title_fullStr	Predicting anemia using NIR spectrum of spent dialysis fluid in hemodialysis patients
title_full_unstemmed	Predicting anemia using NIR spectrum of spent dialysis fluid in hemodialysis patients
title_sort	predicting anemia using nir spectrum of spent dialysis fluid in hemodialysis patients
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/731c06a7afd64f1eb329bb109e479dc4
work_keys_str_mv	AT valentinamatovic predictinganemiausingnirspectrumofspentdialysisfluidinhemodialysispatients AT branislavajeftic predictinganemiausingnirspectrumofspentdialysisfluidinhemodialysispatients AT jasnatrbojevicstankovic predictinganemiausingnirspectrumofspentdialysisfluidinhemodialysispatients AT lidijamatija predictinganemiausingnirspectrumofspentdialysisfluidinhemodialysispatients
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Predicting anemia using NIR spectrum of spent dialysis fluid in hemodialysis patients

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