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We used fractional polynomial regression models 13 separately for male and female smokers and non-smokers to show the variation of heart age deviation with age.
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Whereas previously only a decrease in deviation index with age was observed, the present study shows an increase in deviation index with age for the males in M libraries.
Table 3 shows that the decrease or increase in deviation index with age depends on the subsets of probes used.
The author mentions that the increase in the deviation index with age for males in one of the tissues is novel, but as detailed below I do not think this is statistically significant.
In our simulations, MODY4 has the greatest variability in age of onset (11 years standard deviation) with an average age of 23 years.
The RR of hip fractures was also adjusted over time to accommodate the decreasing gradient of fracture risk per standard deviation of BMD with age.
Even if the results are significant, it is not clear to me what they mean as the author reports that the deviation index increases with age in some tissues (or gender) but not in others.
We defined hyperfiltration as an eGFR ≥131 ml/mean1.73 m (mean ± 2 standard deviations) in accordance with age- and sex-specific healthy subjects, and an eGFR of 90 130 ml/min/1.73 m was defined as normofiltering.
Heart age deviation increased with real age and at younger ages was smaller for females than males, although this reversed after 48 years.
This deviation became more prominent with age.
This figure suggests that the deviation index goes up with age for M males and goes down in the other three groups.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com