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Correlation between bone turnover and metabolic markers with age and gender: a cross-sectional study of hospital information system data
BACKGROUND: Bone turnover and metabolic indicators are related to age and gender. Age and gender should be matched in subjects in disease control research of bone turnover and metabolism, but strict matching of gender and age increases the difficulty and cost of the research. Therefore, the aim of t...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7487991/ https://www.ncbi.nlm.nih.gov/pubmed/32912188 http://dx.doi.org/10.1186/s12891-020-03610-w |
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author | Shao, Ju Zhou, Shao-Song Qu, Yuan Liang, Bi-Bo Yu, Qing-Hong Wu, Jing |
author_facet | Shao, Ju Zhou, Shao-Song Qu, Yuan Liang, Bi-Bo Yu, Qing-Hong Wu, Jing |
author_sort | Shao, Ju |
collection | PubMed |
description | BACKGROUND: Bone turnover and metabolic indicators are related to age and gender. Age and gender should be matched in subjects in disease control research of bone turnover and metabolism, but strict matching of gender and age increases the difficulty and cost of the research. Therefore, the aim of this study was to solve it is necessary to strictly match age and gender in clinical research in bone metabolism. METHODS: A cross-sectional study was conducted from the data were extracted from the HIS of ZhuJiang Hospital. Data relating to seven bone turnover and metabolic indicators from 1036 patients between January 2018 and October 2019 were analyzed. RESULTS: P1NP, β-CTx and 25(OH)D were significant different in individuals younger than 20 years of age. ALP was significantly higher in those under 20 years of age and lower at age 20–39 compared with other age groups. The concentrations of Ca and P were different among the groups aged 0–19, 20–39, and 40–59 years of age groups but exhibited no difference above 60 years of age. PTH expression was not dependent on age. P1NP, β-CTx and PTH concentrations were not significantly different between the genders within the same age group. ALP was significantly different between genders within the age range 20–59 years. Ca and 25(OH)D were significantly different between the genders for those older than 60. Serum P was significantly different in the two genders for those aged 40–79. Patients received both alfacalcidol and calcium treatment differently from the others in P1NP, β-CTx, Serum Ca, P and ALP. CONCLUSION: P1NP and β-CTx were highly correlated with age. If these two indictors require analysis in a case control study, the patients and controls should be strictly matched by age under 20 years. The demarcation point for ALP was 40 years of age. Ca and P were strongly recommended strict matching according to age in disease research. The difference in P1NP, β-CTx, 25(OH)D and ALP between genders depends on age differences. Medication history should be considered in bone turnover and metabolic clinical research. |
format | Online Article Text |
id | pubmed-7487991 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-74879912020-09-16 Correlation between bone turnover and metabolic markers with age and gender: a cross-sectional study of hospital information system data Shao, Ju Zhou, Shao-Song Qu, Yuan Liang, Bi-Bo Yu, Qing-Hong Wu, Jing BMC Musculoskelet Disord Research Article BACKGROUND: Bone turnover and metabolic indicators are related to age and gender. Age and gender should be matched in subjects in disease control research of bone turnover and metabolism, but strict matching of gender and age increases the difficulty and cost of the research. Therefore, the aim of this study was to solve it is necessary to strictly match age and gender in clinical research in bone metabolism. METHODS: A cross-sectional study was conducted from the data were extracted from the HIS of ZhuJiang Hospital. Data relating to seven bone turnover and metabolic indicators from 1036 patients between January 2018 and October 2019 were analyzed. RESULTS: P1NP, β-CTx and 25(OH)D were significant different in individuals younger than 20 years of age. ALP was significantly higher in those under 20 years of age and lower at age 20–39 compared with other age groups. The concentrations of Ca and P were different among the groups aged 0–19, 20–39, and 40–59 years of age groups but exhibited no difference above 60 years of age. PTH expression was not dependent on age. P1NP, β-CTx and PTH concentrations were not significantly different between the genders within the same age group. ALP was significantly different between genders within the age range 20–59 years. Ca and 25(OH)D were significantly different between the genders for those older than 60. Serum P was significantly different in the two genders for those aged 40–79. Patients received both alfacalcidol and calcium treatment differently from the others in P1NP, β-CTx, Serum Ca, P and ALP. CONCLUSION: P1NP and β-CTx were highly correlated with age. If these two indictors require analysis in a case control study, the patients and controls should be strictly matched by age under 20 years. The demarcation point for ALP was 40 years of age. Ca and P were strongly recommended strict matching according to age in disease research. The difference in P1NP, β-CTx, 25(OH)D and ALP between genders depends on age differences. Medication history should be considered in bone turnover and metabolic clinical research. BioMed Central 2020-09-10 /pmc/articles/PMC7487991/ /pubmed/32912188 http://dx.doi.org/10.1186/s12891-020-03610-w Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://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 Article Shao, Ju Zhou, Shao-Song Qu, Yuan Liang, Bi-Bo Yu, Qing-Hong Wu, Jing Correlation between bone turnover and metabolic markers with age and gender: a cross-sectional study of hospital information system data |
title | Correlation between bone turnover and metabolic markers with age and gender: a cross-sectional study of hospital information system data |
title_full | Correlation between bone turnover and metabolic markers with age and gender: a cross-sectional study of hospital information system data |
title_fullStr | Correlation between bone turnover and metabolic markers with age and gender: a cross-sectional study of hospital information system data |
title_full_unstemmed | Correlation between bone turnover and metabolic markers with age and gender: a cross-sectional study of hospital information system data |
title_short | Correlation between bone turnover and metabolic markers with age and gender: a cross-sectional study of hospital information system data |
title_sort | correlation between bone turnover and metabolic markers with age and gender: a cross-sectional study of hospital information system data |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7487991/ https://www.ncbi.nlm.nih.gov/pubmed/32912188 http://dx.doi.org/10.1186/s12891-020-03610-w |
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