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The Final Phase of Growth in Stature - GGH Journal

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1.5 cm for males and 1.0 cm for<br />

females.1 <strong>The</strong> f<strong>in</strong>al phase <strong>of</strong><br />

growth <strong>in</strong> stature probably reflects<br />

elongation <strong>in</strong> the vertebral column.<br />

Increments after Peak Height<br />

Velocity (PHV) and Menarche<br />

<strong>The</strong> distributions <strong>of</strong> the total <strong>in</strong>crements<br />

after PHV are slightly larger<br />

for boys than for girls, with large<br />

differences between the 10th and<br />

90th percentile levels <strong>in</strong> each sex<br />

(Table 2). <strong>The</strong>se sex-associated<br />

differences are particularly large<br />

for the first year after PHV. <strong>The</strong><br />

annual <strong>in</strong>crements decrease rapidly<br />

after PHV, with almost as much<br />

growth <strong>in</strong> the first year as <strong>in</strong> the<br />

second to fifth years comb<strong>in</strong>ed.<br />

<strong>The</strong> data for annual <strong>in</strong>crements<br />

after PHV do not add up to the total<br />

<strong>in</strong>crements, because the groups<br />

for the annual <strong>in</strong>crements differ<br />

across <strong>in</strong>tervals. It is noteworthy<br />

that at least 10% <strong>of</strong> the boys and <strong>of</strong><br />

the girls had <strong>in</strong>crements greater<br />

than 1.0 cm even from 4 to 5 years<br />

after PHV.<br />

<strong>The</strong> median total stature <strong>in</strong>crement<br />

after menarche was 7.4 cm<br />

with a 10th to 90th percentile range<br />

from 4.3 to 10.6 cm. <strong>The</strong>se f<strong>in</strong>d<strong>in</strong>gs<br />

are <strong>in</strong> agreement with reports <strong>of</strong><br />

growth from menarche to the end<br />

<strong>of</strong> school attendance or to 18.25<br />

years.6.? <strong>The</strong> median <strong>in</strong>crements<br />

dur<strong>in</strong>g the first year after menarche<br />

exceeded the sum <strong>of</strong> the<br />

median annual <strong>in</strong>crements over<br />

the next 4 years.<br />

Relationships to the Tim<strong>in</strong>g <strong>of</strong><br />

PHV and Menarche<br />

<strong>The</strong> later the occurrence <strong>of</strong> PHV<br />

and menarche, the lesser the<br />

growth <strong>in</strong> stature after these<br />

events 1,4,8,9 (Figure), After PHV,<br />

there was considerably more<br />

growth <strong>in</strong> boys than <strong>in</strong> girls for<br />

groups matched <strong>in</strong> age at PHV, but<br />

the ranges from the 5th to the 95th<br />

percentiles and the slopes <strong>of</strong> the<br />

regressions were almost identical<br />

<strong>in</strong> each sex, <strong>The</strong> <strong>in</strong>crements <strong>in</strong><br />

boys from 14 to 17 years are also<br />

negatively related to stature at 14<br />

years,10<br />

Cl<strong>in</strong>ical Applications<br />

<strong>The</strong> preced<strong>in</strong>g data may serve as<br />

guides to the potential for growth <strong>in</strong><br />

stature, depend<strong>in</strong>g on the patient's<br />

maturational status. This <strong>in</strong>formation<br />

therefore may assist decisions<br />

about the <strong>in</strong>itiation or<br />

cessation <strong>of</strong> therapy. Such decisions<br />

will be <strong>in</strong>fluenced as well by<br />

the presence and nature <strong>of</strong> any<br />

pathological condition and by the<br />

attitude <strong>of</strong> the patient and the patient's<br />

family.<br />

More complex procedures utilize<br />

regression equations to pre-<br />

dict adult stature from childhood<br />

variables.3.11,12 <strong>The</strong>se require assessments<br />

<strong>of</strong> skeletal age and,therefor<br />

cannot be used after<br />

maturation <strong>of</strong> the hand-wrist is<br />

complete. Prediction methods<br />

based on regression are likely to<br />

be mislead<strong>in</strong>g when applied to<br />

children with chronic diseases that<br />

affect growth, with large overpredictions<br />

more likely than underpredictions.<br />

<strong>The</strong> Bayley-<br />

P<strong>in</strong>neau method13 is the best current<br />

procedure for predict<strong>in</strong>g the<br />

adult statures <strong>of</strong> children with diseases;<br />

but even with this method,<br />

the prediction errors are large.12<br />

<strong>The</strong> present data should be applicable<br />

to healthy children, <strong>in</strong>clud<strong>in</strong>g<br />

those with statures or maturational<br />

levels unusual for their<br />

chronological ages.<br />

In mak<strong>in</strong>g decisions regard<strong>in</strong>g<br />

the cessation <strong>of</strong> growth-promot<strong>in</strong>gtherapy,<br />

cl<strong>in</strong>icians may utilize the<br />

distributions <strong>of</strong> age at which<br />

growth <strong>in</strong> stature ceases. 1 This<br />

approach is limited <strong>in</strong> value, how-

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