Prediction of urine culture results by automated urinalysis with digital flow morphology analysis

Abstract To investigate the association between the results of urinalysis and those of concurrent urine cultures, and to construct a prediction model for the results of urine culture. A total of 42,713 patients were included in this study. Patients were divided into two independent groups including...

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Autores principales:	Dokyun Kim, Seoung Chul Oh, Changseung Liu, Yoonjung Kim, Yongjung Park, Seok Hoon Jeong
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/6a7407ebb6c548c7ad83fd2d50d072e4
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spelling	oai:doaj.org-article:6a7407ebb6c548c7ad83fd2d50d072e42021-12-02T13:17:55ZPrediction of urine culture results by automated urinalysis with digital flow morphology analysis10.1038/s41598-021-85404-12045-2322https://doaj.org/article/6a7407ebb6c548c7ad83fd2d50d072e42021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-85404-1https://doaj.org/toc/2045-2322Abstract To investigate the association between the results of urinalysis and those of concurrent urine cultures, and to construct a prediction model for the results of urine culture. A total of 42,713 patients were included in this study. Patients were divided into two independent groups including training and test datasets. A novel prediction algorithm, designated the UTOPIA value, was constructed with the training dataset, based on an association between the results of urinalysis and those of concurrent urine culture. The diagnostic performance of the UTOPIA value was validated with the test dataset. Six variables were selected for the equation of the UTOPIA value: age of higher UTI risk [odds ratio (OR), 2.069125], female (OR, 1.400648), nitrite (per 1 grade; OR, 3.765457), leukocyte esterase (per 1 grade; OR, 1.701586), the number of WBCs (per 1 × 106/L; OR, 1.000121), and the number of bacteria (per 1 × 106/L; OR, 1.004195). The UTOPIA value exhibited an area under the curve value of 0.837 when validated with the independent test dataset. The UTOPIA value displayed good diagnostic performance for predicting urine culture results, which would help to reduce unnecessary culture. Different cutoffs can be used according to the clinical indication.Dokyun KimSeoung Chul OhChangseung LiuYoonjung KimYongjung ParkSeok Hoon JeongNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Dokyun Kim Seoung Chul Oh Changseung Liu Yoonjung Kim Yongjung Park Seok Hoon Jeong Prediction of urine culture results by automated urinalysis with digital flow morphology analysis
description	Abstract To investigate the association between the results of urinalysis and those of concurrent urine cultures, and to construct a prediction model for the results of urine culture. A total of 42,713 patients were included in this study. Patients were divided into two independent groups including training and test datasets. A novel prediction algorithm, designated the UTOPIA value, was constructed with the training dataset, based on an association between the results of urinalysis and those of concurrent urine culture. The diagnostic performance of the UTOPIA value was validated with the test dataset. Six variables were selected for the equation of the UTOPIA value: age of higher UTI risk [odds ratio (OR), 2.069125], female (OR, 1.400648), nitrite (per 1 grade; OR, 3.765457), leukocyte esterase (per 1 grade; OR, 1.701586), the number of WBCs (per 1 × 106/L; OR, 1.000121), and the number of bacteria (per 1 × 106/L; OR, 1.004195). The UTOPIA value exhibited an area under the curve value of 0.837 when validated with the independent test dataset. The UTOPIA value displayed good diagnostic performance for predicting urine culture results, which would help to reduce unnecessary culture. Different cutoffs can be used according to the clinical indication.
format	article
author	Dokyun Kim Seoung Chul Oh Changseung Liu Yoonjung Kim Yongjung Park Seok Hoon Jeong
author_facet	Dokyun Kim Seoung Chul Oh Changseung Liu Yoonjung Kim Yongjung Park Seok Hoon Jeong
author_sort	Dokyun Kim
title	Prediction of urine culture results by automated urinalysis with digital flow morphology analysis
title_short	Prediction of urine culture results by automated urinalysis with digital flow morphology analysis
title_full	Prediction of urine culture results by automated urinalysis with digital flow morphology analysis
title_fullStr	Prediction of urine culture results by automated urinalysis with digital flow morphology analysis
title_full_unstemmed	Prediction of urine culture results by automated urinalysis with digital flow morphology analysis
title_sort	prediction of urine culture results by automated urinalysis with digital flow morphology analysis
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/6a7407ebb6c548c7ad83fd2d50d072e4
work_keys_str_mv	AT dokyunkim predictionofurinecultureresultsbyautomatedurinalysiswithdigitalflowmorphologyanalysis AT seoungchuloh predictionofurinecultureresultsbyautomatedurinalysiswithdigitalflowmorphologyanalysis AT changseungliu predictionofurinecultureresultsbyautomatedurinalysiswithdigitalflowmorphologyanalysis AT yoonjungkim predictionofurinecultureresultsbyautomatedurinalysiswithdigitalflowmorphologyanalysis AT yongjungpark predictionofurinecultureresultsbyautomatedurinalysiswithdigitalflowmorphologyanalysis AT seokhoonjeong predictionofurinecultureresultsbyautomatedurinalysiswithdigitalflowmorphologyanalysis
_version_	1718393336565334016

Prediction of urine culture results by automated urinalysis with digital flow morphology analysis

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