Cargando…

Salivary cystatin S levels in children with early childhood caries in comparison with caries-free children; statistical analysis and machine learning

BACKGROUND: Early childhood caries is the most common infectious disease in childhood, with a high prevalence in developing countries. The assessment of the variables that influence early childhood caries as well as its pathophysiology leads to improved control of this disease. Cystatin S, as one of...

Descripción completa

Detalles Bibliográficos
Autores principales: Koopaie, Maryam, Salamati, Mahsa, Montazeri, Roshanak, Davoudi, Mansour, Kolahdooz, Sajad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8683819/
https://www.ncbi.nlm.nih.gov/pubmed/34922509
http://dx.doi.org/10.1186/s12903-021-02016-x
_version_ 1784617499597209600
author Koopaie, Maryam
Salamati, Mahsa
Montazeri, Roshanak
Davoudi, Mansour
Kolahdooz, Sajad
author_facet Koopaie, Maryam
Salamati, Mahsa
Montazeri, Roshanak
Davoudi, Mansour
Kolahdooz, Sajad
author_sort Koopaie, Maryam
collection PubMed
description BACKGROUND: Early childhood caries is the most common infectious disease in childhood, with a high prevalence in developing countries. The assessment of the variables that influence early childhood caries as well as its pathophysiology leads to improved control of this disease. Cystatin S, as one of the salivary proteins, has an essential role in pellicle formation, tooth re-mineralization, and protection. The present study aims to assess salivary cystatin S levels and demographic data in early childhood caries in comparison with caries-free ones using statistical analysis and machine learning methods. METHODS: A cross-sectional, case–control study was undertaken on 20 cases of early childhood caries and 20 caries-free children as a control. Unstimulated whole saliva samples were collected by suction. Cystatin S concentrations in samples were determined using human cystatin S ELISA kit. The checklist was collected from participants about demographic characteristics, oral health status, and dietary habits by interviewing parents. Regression and receiver operating characteristic (ROC) curve analysis were done to evaluate the potential role of cystatin S salivary level and demographic using statistical analysis and machine learning. RESULTS: The mean value of salivary cystatin S concentration in the early childhood caries group was 191.55 ± 81.90 (ng/ml) and in the caries-free group was 370.06 ± 128.87 (ng/ml). T-test analysis showed a statistically significant difference between early childhood caries and caries-free groups in salivary cystatin S levels (p = 0.032). Investigation of the area under the curve (AUC) and accuracy of the ROC curve revealed that the logistic regression model based on salivary cystatin S levels and birth weight had the most and acceptable potential for discriminating of early childhood caries from caries-free controls. Furthermore, using salivary cystatin S levels enhanced the capability of machine learning methods to differentiate early childhood caries from caries-free controls. CONCLUSION: Salivary cystatin S levels in caries-free children were higher than the children with early childhood caries. Results of the present study suggest that considering clinical examination, demographic and socioeconomic factors, along with the salivary cystatin S levels, could be usefull for early diagnosis ofearly childhood caries in high-risk children; furthermore, cystatin S is a protective factor against dental caries. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12903-021-02016-x.
format Online
Article
Text
id pubmed-8683819
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-86838192021-12-20 Salivary cystatin S levels in children with early childhood caries in comparison with caries-free children; statistical analysis and machine learning Koopaie, Maryam Salamati, Mahsa Montazeri, Roshanak Davoudi, Mansour Kolahdooz, Sajad BMC Oral Health Research BACKGROUND: Early childhood caries is the most common infectious disease in childhood, with a high prevalence in developing countries. The assessment of the variables that influence early childhood caries as well as its pathophysiology leads to improved control of this disease. Cystatin S, as one of the salivary proteins, has an essential role in pellicle formation, tooth re-mineralization, and protection. The present study aims to assess salivary cystatin S levels and demographic data in early childhood caries in comparison with caries-free ones using statistical analysis and machine learning methods. METHODS: A cross-sectional, case–control study was undertaken on 20 cases of early childhood caries and 20 caries-free children as a control. Unstimulated whole saliva samples were collected by suction. Cystatin S concentrations in samples were determined using human cystatin S ELISA kit. The checklist was collected from participants about demographic characteristics, oral health status, and dietary habits by interviewing parents. Regression and receiver operating characteristic (ROC) curve analysis were done to evaluate the potential role of cystatin S salivary level and demographic using statistical analysis and machine learning. RESULTS: The mean value of salivary cystatin S concentration in the early childhood caries group was 191.55 ± 81.90 (ng/ml) and in the caries-free group was 370.06 ± 128.87 (ng/ml). T-test analysis showed a statistically significant difference between early childhood caries and caries-free groups in salivary cystatin S levels (p = 0.032). Investigation of the area under the curve (AUC) and accuracy of the ROC curve revealed that the logistic regression model based on salivary cystatin S levels and birth weight had the most and acceptable potential for discriminating of early childhood caries from caries-free controls. Furthermore, using salivary cystatin S levels enhanced the capability of machine learning methods to differentiate early childhood caries from caries-free controls. CONCLUSION: Salivary cystatin S levels in caries-free children were higher than the children with early childhood caries. Results of the present study suggest that considering clinical examination, demographic and socioeconomic factors, along with the salivary cystatin S levels, could be usefull for early diagnosis ofearly childhood caries in high-risk children; furthermore, cystatin S is a protective factor against dental caries. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12903-021-02016-x. BioMed Central 2021-12-18 /pmc/articles/PMC8683819/ /pubmed/34922509 http://dx.doi.org/10.1186/s12903-021-02016-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Koopaie, Maryam
Salamati, Mahsa
Montazeri, Roshanak
Davoudi, Mansour
Kolahdooz, Sajad
Salivary cystatin S levels in children with early childhood caries in comparison with caries-free children; statistical analysis and machine learning
title Salivary cystatin S levels in children with early childhood caries in comparison with caries-free children; statistical analysis and machine learning
title_full Salivary cystatin S levels in children with early childhood caries in comparison with caries-free children; statistical analysis and machine learning
title_fullStr Salivary cystatin S levels in children with early childhood caries in comparison with caries-free children; statistical analysis and machine learning
title_full_unstemmed Salivary cystatin S levels in children with early childhood caries in comparison with caries-free children; statistical analysis and machine learning
title_short Salivary cystatin S levels in children with early childhood caries in comparison with caries-free children; statistical analysis and machine learning
title_sort salivary cystatin s levels in children with early childhood caries in comparison with caries-free children; statistical analysis and machine learning
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8683819/
https://www.ncbi.nlm.nih.gov/pubmed/34922509
http://dx.doi.org/10.1186/s12903-021-02016-x
work_keys_str_mv AT koopaiemaryam salivarycystatinslevelsinchildrenwithearlychildhoodcariesincomparisonwithcariesfreechildrenstatisticalanalysisandmachinelearning
AT salamatimahsa salivarycystatinslevelsinchildrenwithearlychildhoodcariesincomparisonwithcariesfreechildrenstatisticalanalysisandmachinelearning
AT montazeriroshanak salivarycystatinslevelsinchildrenwithearlychildhoodcariesincomparisonwithcariesfreechildrenstatisticalanalysisandmachinelearning
AT davoudimansour salivarycystatinslevelsinchildrenwithearlychildhoodcariesincomparisonwithcariesfreechildrenstatisticalanalysisandmachinelearning
AT kolahdoozsajad salivarycystatinslevelsinchildrenwithearlychildhoodcariesincomparisonwithcariesfreechildrenstatisticalanalysisandmachinelearning