Abstract
BackgroundBone 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.MethodsA 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.ResultsP1NP, 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.ConclusionP1NP 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.
Highlights
Bone turnover and metabolic indicators are related to age and gender
The present study focused on bone metabolism indicators in patients of different age and gender using hospital information system (HIS) data from one hospital, providing mathematical modeling to assist the future study of age and gender in disease research
Amino-terminal propeptide of type I collagen (P1NP) and Beta-isomerized C-terminal telopeptide of type I collagen (β-CTx) concentrations are highly correlated with age, especially in individuals under 20 years of age
Summary
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. The majority of researchers believe that the age and gender of subjects should be matched in bone metabolism research It remains unclear whether research of the control of bone metabolic diseases requires the strict matching of the age and sex of patients. Strict matching involves great difficulty and high costs, especially in randomized controlled trials (RCTs). It is unclear whether strict matching is required at every age. Data for seven bone indicators related to bone formation, turnover and metabolism were extracted, and their association with age and gender analyzed. The markers measured were amino-terminal propeptide of type I collagen (P1NP), beta-isomerized Cterminal telopeptide of type I collagen (β-CTx), alkaline phosphatase (ALP), 25-hydroxyvitamin D (25(OH)D), parathyroid hormone (PTH), calcium (Ca) and phosphorus (P) in serum
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