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Customized birthweight centiles 
in application to Polish data 
Katarzyna Szamotulska, Ewa Mierzejewska, 
Tomasz Maciejewski, Michal Troszynski
INTRODUCTION 
Poland does not have population growth charts for 
newborns based on Polish data. 
It constraints studying the processes and risk factors 
leading to Fetal Growth Restriction (FGR). 
Therefore estimation of customized birthweight centiles 
as proposed by Gardosi may be important for better 
understanding, prevention and treatment of FGR in the 
country.
CONCEPT 
• Gardosi J., Chang A., Kalyan B., Sahota D., Symonds 
EM. Customized antenatal growth. Lancet 1992; 339: 
283-287 
• Gardosi J. Intrauterine growth restriction: new standards 
for assessing adverse outcome. Best Practie & 
Reserach Clinical Obstetrics and Gynecology 2009; 23: 
741-9 
• Hadlock F.P. , Harrist RB., Martinez-Poyer j. et al. In 
utero analysis of fetal growth: a sonographic weight 
standard. Radiology 1991;181:129-133 
• www. perinatal.org.uk, www. gestation.net
EXPECTED TERM OPTIMAL WEIGHT 
(E(TOW)) 
E(TOW)= 
0constant +1maternal height+ 
2maternal weight+3maternal weight2+4maternal weight3 
+5parity1+6parity2+7parity3+8sex
MATERIAL AND METHODS 
One thousand two hundred 
deliveries in 8 hospitals in 
south-eastern and central 
Poland were observed in 2013 
(150 consecutive deliveries per 
hospital) based on medical 
records and interview with the 
mother after delivery. 
Estimation of regression 
equation for optimal weight of a 
baby was based on data 
available for maternal height, 
maternal weight before 
pregnancy, parity and sex of 
the child (n=945).
MATERIAL AND METHODS 
Gestational age was centered around mean of 275 days 
from first day of the last menstrual period, maternal 
height – around mean of 166 cm, maternal weight before 
pregnancy – around mean of 64 kg. 
Parity was categorized as 0,1,2+. 
The tenth percentile was set up at expected birthweight 
minus 14% (centile limits based on expected optimal 
weight)
MATERNAL CHARACTERISTICS 
BY HOSPITALS 
170 
168 
166 
164 
162 
160 
Height (cm) 
Z R L P G NS K W 
70 
68 
66 
64 
62 
60 
Pre-pregnancy weight (kg) 
Z R L P G NS K W 
30% 
25% 
20% 
15% 
10% 
5% 
0% 
Parity 3+ 
Z R L P G NS K W 
80% 
60% 
40% 
20% 
0% 
Boys 
Z R L P G NS K W 
Height (cm) 
Parity 3+ 
Pre-pregnancy weight (kg) 
Boys
FORMULA FOR ADJUSTING 
EXPECTED TERM OPTIMAL WEIGHT 
(E(TOW)) 
E(TOW)= 
0constant +1maternal height+ 
2maternal weight+3maternal weight2+4maternal weight3 
+5parity1+6parity2+7parity3+8sex
RESULTS 
Mean estimated birth weight was 3883 ±343 g and was 
equal to mean observed birth weight. 
Estimated parameters of the model were similar to 
parameters from other populations.
ESTIMATED PARAMETERS 
OF GARDOSI MODEL 
Maternal characterstics Current study 
(n=945) 
Nottingham 
(n=38,114) 
EUROPOP 
(n=7,615) 
Warsaw 
(n=1,019) 
Constant 3405.0 3478.4 3401.6 3308.6 
Maternal height 6.9 7.8 8.8 7.2 
Maternal weight 9.8 8.7 7.2 14.2 
Maternal weight2 -0.108 -0.117 -0.135 -0.188 
Maternal weight3 -0.003 0.00072 0.0014 0.005 
Parity 0 Ref. Ref. Ref. Ref. 
Parity 1 100 108 87 135 
Parity 2+ 80 149 148 142 
Parity 3 x 150 128 393 
Parity 4 x 150 140 x 
Sex of child (male) 154 116 132 156 
Smoking<10 cig./d. x -153 -157 
Smoking 10-19 cig./d. x -215 -128 -130 
Smoking>=20 cig./d. x -246 -182
CUSTOMIZED NORMS VS. CLINICAL 
DIAGNOSIS OF HYPOTROPHY 
In comparison to clinical diagnosis of fetal hypotrophy, 
customized birthweight 10 centile calculated according 
to Gardosi method was ascertained in 91.7% cases of 
fetal hypotrophy noticed in medical records and in 10.6% 
cases of fetal hypotrophy not noticed in medical records. 
Customized norms 
10 
percentile 
>10 
percentile 
Total 
Clinical 
diagnosis 
of 
hypotrophy 
Yes 11 (91.7%) 1 (8.3%) 12 (1.3%) 
No 99 (10.6%) 834 (89.4% ) 933 (98.7%) 
Total 110 (11.6%) 835 (88.4%) 945(100%)
RESULTS 
Observed birthweight below the 10th percentile of 
expected birthweight was related to smoking before 
pregnancy (OR=1.79, p=0.013) and low socioeconomic 
status (OR=1.88, p=0.015)
HYPOTROPHIC CHILDREN 
NOT ASCERTAINED BY CUSTOMIZED NORMS 
Neither 
(n=834) 
Cust. only 
(n=99) 
Both 
(n=11) 
Prematurity 5.8% 7.1% 27.3% 
Overweight 
26.0% 35.4% 9.1% 
and obesity 
PIH 2.3% 2.0% 9.1% 
Eclampsia 0.7% 0.0% 9.1% 
GDM 2.5% 5.1% 0.0%
NICU ADMISSION 
The risk of NICU admission in children without clinical 
diagnosis of hypotrophy was three-fold higher in case of 
customized birthweight  10 centile vs. customized 
birthweight > 10 centile . 
2.7% 
9.9% 
0.0% 
36.4% 
50% 
40% 
30% 
20% 
10% 
0% 
Neither Only customized 
norm 
Only clinical 
diagnosis 
Both
CONCLUSIONS 
Customized birthweight centiles are useful for 
estimation of fetal growth restriction in Polish population 
and enable prediction of negative newborn outcomes.

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Szamotulska medici

  • 1. Customized birthweight centiles in application to Polish data Katarzyna Szamotulska, Ewa Mierzejewska, Tomasz Maciejewski, Michal Troszynski
  • 2. INTRODUCTION Poland does not have population growth charts for newborns based on Polish data. It constraints studying the processes and risk factors leading to Fetal Growth Restriction (FGR). Therefore estimation of customized birthweight centiles as proposed by Gardosi may be important for better understanding, prevention and treatment of FGR in the country.
  • 3. CONCEPT • Gardosi J., Chang A., Kalyan B., Sahota D., Symonds EM. Customized antenatal growth. Lancet 1992; 339: 283-287 • Gardosi J. Intrauterine growth restriction: new standards for assessing adverse outcome. Best Practie & Reserach Clinical Obstetrics and Gynecology 2009; 23: 741-9 • Hadlock F.P. , Harrist RB., Martinez-Poyer j. et al. In utero analysis of fetal growth: a sonographic weight standard. Radiology 1991;181:129-133 • www. perinatal.org.uk, www. gestation.net
  • 4. EXPECTED TERM OPTIMAL WEIGHT (E(TOW)) E(TOW)= 0constant +1maternal height+ 2maternal weight+3maternal weight2+4maternal weight3 +5parity1+6parity2+7parity3+8sex
  • 5. MATERIAL AND METHODS One thousand two hundred deliveries in 8 hospitals in south-eastern and central Poland were observed in 2013 (150 consecutive deliveries per hospital) based on medical records and interview with the mother after delivery. Estimation of regression equation for optimal weight of a baby was based on data available for maternal height, maternal weight before pregnancy, parity and sex of the child (n=945).
  • 6. MATERIAL AND METHODS Gestational age was centered around mean of 275 days from first day of the last menstrual period, maternal height – around mean of 166 cm, maternal weight before pregnancy – around mean of 64 kg. Parity was categorized as 0,1,2+. The tenth percentile was set up at expected birthweight minus 14% (centile limits based on expected optimal weight)
  • 7. MATERNAL CHARACTERISTICS BY HOSPITALS 170 168 166 164 162 160 Height (cm) Z R L P G NS K W 70 68 66 64 62 60 Pre-pregnancy weight (kg) Z R L P G NS K W 30% 25% 20% 15% 10% 5% 0% Parity 3+ Z R L P G NS K W 80% 60% 40% 20% 0% Boys Z R L P G NS K W Height (cm) Parity 3+ Pre-pregnancy weight (kg) Boys
  • 8. FORMULA FOR ADJUSTING EXPECTED TERM OPTIMAL WEIGHT (E(TOW)) E(TOW)= 0constant +1maternal height+ 2maternal weight+3maternal weight2+4maternal weight3 +5parity1+6parity2+7parity3+8sex
  • 9. RESULTS Mean estimated birth weight was 3883 ±343 g and was equal to mean observed birth weight. Estimated parameters of the model were similar to parameters from other populations.
  • 10. ESTIMATED PARAMETERS OF GARDOSI MODEL Maternal characterstics Current study (n=945) Nottingham (n=38,114) EUROPOP (n=7,615) Warsaw (n=1,019) Constant 3405.0 3478.4 3401.6 3308.6 Maternal height 6.9 7.8 8.8 7.2 Maternal weight 9.8 8.7 7.2 14.2 Maternal weight2 -0.108 -0.117 -0.135 -0.188 Maternal weight3 -0.003 0.00072 0.0014 0.005 Parity 0 Ref. Ref. Ref. Ref. Parity 1 100 108 87 135 Parity 2+ 80 149 148 142 Parity 3 x 150 128 393 Parity 4 x 150 140 x Sex of child (male) 154 116 132 156 Smoking<10 cig./d. x -153 -157 Smoking 10-19 cig./d. x -215 -128 -130 Smoking>=20 cig./d. x -246 -182
  • 11. CUSTOMIZED NORMS VS. CLINICAL DIAGNOSIS OF HYPOTROPHY In comparison to clinical diagnosis of fetal hypotrophy, customized birthweight 10 centile calculated according to Gardosi method was ascertained in 91.7% cases of fetal hypotrophy noticed in medical records and in 10.6% cases of fetal hypotrophy not noticed in medical records. Customized norms 10 percentile >10 percentile Total Clinical diagnosis of hypotrophy Yes 11 (91.7%) 1 (8.3%) 12 (1.3%) No 99 (10.6%) 834 (89.4% ) 933 (98.7%) Total 110 (11.6%) 835 (88.4%) 945(100%)
  • 12. RESULTS Observed birthweight below the 10th percentile of expected birthweight was related to smoking before pregnancy (OR=1.79, p=0.013) and low socioeconomic status (OR=1.88, p=0.015)
  • 13. HYPOTROPHIC CHILDREN NOT ASCERTAINED BY CUSTOMIZED NORMS Neither (n=834) Cust. only (n=99) Both (n=11) Prematurity 5.8% 7.1% 27.3% Overweight 26.0% 35.4% 9.1% and obesity PIH 2.3% 2.0% 9.1% Eclampsia 0.7% 0.0% 9.1% GDM 2.5% 5.1% 0.0%
  • 14. NICU ADMISSION The risk of NICU admission in children without clinical diagnosis of hypotrophy was three-fold higher in case of customized birthweight  10 centile vs. customized birthweight > 10 centile . 2.7% 9.9% 0.0% 36.4% 50% 40% 30% 20% 10% 0% Neither Only customized norm Only clinical diagnosis Both
  • 15. CONCLUSIONS Customized birthweight centiles are useful for estimation of fetal growth restriction in Polish population and enable prediction of negative newborn outcomes.