Périmètre crânien du nourrisson en fonction des centiles d’âge selon l’OMS (< 24 mois)

 
Entrée
 
Sexe Fille

 Garçon
Âge  
Périmètre crânien  

 
Résultats
 
 
Score Z    
Centile    
 
Précision décimale  
 

 
Interprétation du périmètre crânien en fonction des centiles d’âge

 
Centile < 2: Microcéphalie
Centile >= 2 et < 98: Périmètre crânien normal
Centile >= 98: Macrocéphalie

 
 

 
Notes
  • La microcéphalie correspond à un périmètre crânien supérieur à deux écarts-types en dessous de la moyenne.
  • La macrocéphalie correspond à un périmètre crânien supérieur à deux écarts-types au-dessus de la moyenne.
  • Aux extrêmes (supérieur au 97e centile ou inférieur au 3e centile), les petites différences de centiles représentent des différences cliniquement importantes. Au niveau de ces extrêmes, le score Z reflète de manière plus précise à quel point la mesure s’écarte de la moyenne et il constitue un outil utile pour suivre les changements.
  • Les données de LMS utilisées dans ce calculateur sont affichées dans le tableau ci-dessous.
  • Pour tous les tableaux de LMS, la ligne correspondant à la valeur spécifique au patient se trouve dans la première colonne du tableau ; les valeurs à utiliser pour L (puissance de Box-Cox), M (médiane) et S (coefficient de variation généralisé) dans l’équation pour le score Z sont extraites.
  • Les scores Z peuvent être utilisés pour faire une recherche sur le centile correspondant dans la table des centiles de la loi normale pour le tableau du score Z (ci-dessous). Les chiffres sur le côté gauche (axe Y) du tableau représentent le premier nombre et l’emplacement de la première décimale du score Z, tandis que les chiffres en haut (axe X) du tableau correspondent à l’emplacement de la deuxième décimale du score Z.

 
Équations utilisées
 
ZScore = ((Headcircumference/M)L - 1) / (L * S)
Centile = Z à Centile(Score Z)

 

 
Exemples
 
Score ZÉquivalence en centiles
- 3,0
0,3
- 2,0
2,5
+ 2,0
97,5
+ 3,0
99,7

 
Références
  1. World Health Organization. The WHO Child Growth Standards. https://www.who.int/childgrowth/standards/en/ (Accessed on June 26, 2023).

 
Appendice

 
Head circumference-for-age percentiles, females 0 to 24 months, WHO growth standard
 
Age [months] Power [L] Median [M] Variation [S]
0 1 33.8787 0.03496
1 1 36.5463 0.03210
2 1 38.2521 0.03168
3 1 39.5328 0.03140
4 1 40.5817 0.03119
5 1 41.4590 0.03102
6 1 42.1995 0.03087
7 1 42.8290 0.03075
8 1 43.3671 0.03063
9 1 43.8300 0.03053
10 1 44.2319 0.03044
11 1 44.5844 0.03035
12 1 44.8965 0.03027
13 1 45.1752 0.03019
14 1 45.4265 0.03012
15 1 45.6551 0.03006
16 1 45.8650 0.02999
17 1 46.0598 0.02993
18 1 46.2424 0.02987
19 1 46.4152 0.02982
20 1 46.5801 0.02977
21 1 46.7384 0.02972
22 1 46.8913 0.02967
23 1 47.0391 0.02962
24 1 47.1822 0.02957

 
Head circumference-for-age percentiles, males 0 to 24 months, WHO growth standard
 
Age [months] Power [L] Median [M] Variation [S]
0 1 34.4618 0.03686
1 1 37.2759 0.03133
2 1 39.1285 0.02997
3 1 40.5135 0.02918
4 1 41.6317 0.02868
5 1 42.5576 0.02837
6 1 43.3306 0.02817
7 1 43.9803 0.02804
8 1 44.5300 0.02796
9 1 44.9998 0.02792
10 1 45.4051 0.02790
11 1 45.7573 0.02789
12 1 46.0661 0.02789
13 1 46.3395 0.02789
14 1 46.5844 0.02791
15 1 46.8060 0.02792
16 1 47.0088 0.02795
17 1 47.1962 0.02797
18 1 47.3711 0.02800
19 1 47.5357 0.02803
20 1 47.6919 0.02806
21 1 47.8408 0.02810
22 1 47.9833 0.02813
23 1 48.1201 0.02817
24 1 48.2515 0.02821

 
Normal table percentiles for Z-score
 
Z 0 1 2 3 4 5 6 7 8 9
-3.0 0.13% 0.13% 0.13% 0.12% 0.12% 0.11% 0.11% 0.11% 0.10% 0.10%
-2.9 0.19% 0.18% 0.18% 0.17% 0.16% 0.16% 0.15% 0.15% 0.14% 0.14%
-2.8 0.26% 0.25% 0.24% 0.23% 0.23% 0.22% 0.21% 0.21% 0.20% 0.19%
-2.7 0.35% 0.34% 0.33% 0.32% 0.31% 0.30% 0.29% 0.28% 0.27% 0.26%
-2.6 0.47% 0.45% 0.44% 0.43% 0.41% 0.40% 0.39% 0.38% 0.37% 0.36%
-2.5 0.62% 0.60% 0.59% 0.57% 0.55% 0.54% 0.52% 0.51% 0.49% 0.48%
-2.4 0.82% 0.80% 0.78% 0.75% 0.73% 0.71% 0.70% 0.68% 0.66% 0.64%
-2.3 1.07% 1.04% 1.02% 0.99% 0.96% 0.94% 0.91% 0.89% 0.87% 0.84%
-2.2 1.39% 1.36% 1.32% 1.29% 1.26% 1.22% 1.19% 1.16% 1.13% 1.10%
-2.1 1.79% 1.74% 1.70% 1.66% 1.62% 1.58% 1.54% 1.50% 1.46% 1.43%
-2.0 2.28% 2.22% 2.17% 2.12% 2.07% 2.02% 1.97% 1.92% 1.88% 1.83%
-1.9 2.87% 2.81% 2.74% 2.68% 2.62% 2.56% 2.50% 2.44% 2.39% 2.33%
-1.8 3.59% 3.52% 3.44% 3.36% 3.29% 3.22% 3.14% 3.07% 3.01% 2.94%
-1.7 4.46% 4.36% 4.27% 4.18% 4.09% 4.01% 3.92% 3.84% 3.75% 3.67%
-1.6 5.48% 5.37% 5.26% 5.16% 5.05% 4.95% 4.85% 4.75% 4.65% 4.55%
-1.5 6.68% 6.55% 6.43% 6.30% 6.18% 6.06% 5.94% 5.82% 5.71% 5.59%
-1.4 8.08% 7.93% 7.78% 7.64% 7.49% 7.35% 7.22% 7.08% 6.94% 6.81%
-1.3 9.68% 9.51% 9.34% 9.18% 9.01% 8.85% 8.69% 8.53% 8.38% 8.23%
-1.2 11.51% 11.31% 11.12% 10.94% 10.75% 10.57% 10.38% 10.20% 10.03% 9.85%
-1.1 13.57% 13.35% 13.14% 12.92% 12.71% 12.51% 12.30% 12.10% 11.90% 11.70%
-1.0 15.87% 15.63% 15.39% 15.15% 14.92% 14.69% 14.46% 14.23% 14.01% 13.79%
-0.9 18.41% 18.14% 17.88% 17.62% 17.36% 17.11% 16.85% 16.60% 16.35% 16.11%
-0.8 21.19% 20.90% 20.61% 20.33% 20.05% 19.77% 19.49% 19.22% 18.94% 18.67%
-0.7 24.20% 23.89% 23.58% 23.27% 22.97% 22.66% 22.36% 22.07% 21.77% 21.48%
-0.6 27.43% 27.09% 26.76% 26.44% 26.11% 25.79% 25.46% 25.14% 24.83% 24.51%
-0.5 30.85% 30.50% 30.15% 29.81% 29.46% 29.12% 28.77% 28.43% 28.10% 27.76%
-0.4 34.46% 34.09% 33.72% 33.36% 33.00% 32.64% 32.28% 31.92% 31.56% 31.21%
-0.3 38.21% 37.83% 37.45% 37.07% 36.69% 36.32% 35.94% 35.57% 35.20% 34.83%
-0.2 42.07% 41.68% 41.29% 40.91% 40.52% 40.13% 39.74% 39.36% 38.97% 38.59%
-0.1 46.02% 45.62% 45.22% 44.83% 44.43% 44.04% 43.64% 43.25% 42.86% 42.47%
-0.0 50.00% 49.60% 49.20% 48.80% 48.40% 48.01% 47.61% 47.21% 46.81% 46.41%
0.0 50.00% 50.40% 50.80% 51.20% 51.60% 51.99% 52.39% 52.79% 53.19% 53.59%
0.1 53.98% 54.38% 54.78% 55.17% 55.57% 55.96% 56.36% 56.75% 57.14% 57.54%
0.2 57.93% 58.32% 58.71% 59.10% 59.48% 59.87% 60.26% 60.64% 61.03% 61.41%
0.3 61.79% 62.17% 62.55% 62.93% 63.31% 63.68% 64.06% 64.43% 64.80% 65.17%
0.4 65.54% 65.91% 66.28% 66.64% 67.00% 67.36% 67.72% 68.08% 68.44% 68.79%
0.5 69.15% 69.50% 69.85% 70.19% 70.54% 70.88% 71.23% 71.57% 71.90% 72.24%
0.6 72.58% 72.91% 73.24% 73.57% 73.89% 74.22% 74.54% 74.86% 75.18% 75.49%
0.7 75.80% 76.12% 76.42% 76.73% 77.04% 77.34% 77.64% 77.94% 78.23% 78.52%
0.8 78.81% 79.10% 79.39% 79.67% 79.96% 80.23% 80.51% 80.79% 81.06% 81.33%
0.9 81.59% 81.86% 82.12% 82.38% 82.64% 82.89% 83.15% 83.40% 83.65% 83.89%
1.0 84.13% 84.38% 84.61% 84.85% 85.08% 85.31% 85.54% 85.77% 85.99% 86.21%
1.1 86.43% 86.65% 86.86% 87.08% 87.29% 87.49% 87.70% 87.90% 88.10% 88.30%
1.2 88.49% 88.69% 88.88% 89.07% 89.25% 89.44% 89.62% 89.80% 89.97% 90.15%
1.3 90.32% 90.49% 90.66% 90.82% 90.99% 91.15% 91.31% 91.47% 91.62% 91.77%
1.4 91.92% 92.07% 92.22% 92.36% 92.51% 92.65% 92.79% 92.92% 93.06% 93.19%
1.5 93.32% 93.45% 93.57% 93.70% 93.82% 93.94% 94.06% 94.18% 94.30% 94.41%
1.6 94.52% 94.63% 94.74% 94.85% 94.95% 95.05% 95.15% 95.25% 95.35% 95.45%
1.7 95.54% 95.64% 95.73% 95.82% 95.91% 95.99% 96.08% 96.16% 96.25% 96.33%
1.8 96.41% 96.49% 96.56% 96.64% 96.71% 96.78% 96.86% 96.93% 97.00% 97.06%
1.9 97.13% 97.19% 97.26% 97.32% 97.38% 97.44% 97.50% 97.56% 97.62% 97.67%
2.0 97.73% 97.78% 97.83% 97.88% 97.93% 97.98% 98.03% 98.08% 98.12% 98.17%
2.1 98.21% 98.26% 98.30% 98.34% 98.38% 98.42% 98.46% 98.50% 98.54% 98.57%
2.2 98.61% 98.65% 98.68% 98.71% 98.75% 98.78% 98.81% 98.84% 98.87% 98.90%
2.3 98.93% 98.96% 98.98% 99.01% 99.04% 99.06% 99.09% 99.11% 99.13% 99.16%
2.4 99.18% 99.20% 99.22% 99.25% 99.27% 99.29% 99.31% 99.32% 99.34% 99.36%
2.5 99.38% 99.40% 99.41% 99.43% 99.45% 99.46% 99.48% 99.49% 99.51% 99.52%
2.6 99.53% 99.55% 99.56% 99.57% 99.59% 99.60% 99.61% 99.62% 99.63% 99.64%
2.7 99.65% 99.66% 99.67% 99.68% 99.69% 99.70% 99.71% 99.72% 99.73% 99.74%
2.8 99.74% 99.75% 99.76% 99.77% 99.77% 99.78% 99.79% 99.80% 99.80% 99.81%
2.9 99.81% 99.82% 99.83% 99.83% 99.84% 99.84% 99.85% 99.85% 99.86% 99.86%
3.0 99.87% 99.87% 99.87% 99.88% 99.88% 99.89% 99.89% 99.89% 99.90% 99.90%

 

 

 
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