Objective: To investigate the characteristic of the term intrauterine growth restriction (term IUGR) and analyze the correlation of demographic and clinical factor’s to term intrauterine growth restriction in West Java general hospitals. Method: This study was done retrospectively using cohort method taken on July 2014. The data were taken from Indonesian Maternal and Perinatal Registration. The data were collected since April 1 st 2014 to September 30 th 2014. Term patients (n = 7.320) were divided into 2 categories: normal fetal growth and intrauterine growth restriction. The data were analysed using chi square and multiple logistic regression. Result: There are 10.4% patients with intrauterine growth restriction. Incidence of term IUGR is commonly found in mothers less than 20 years old, low educational status (primary school), multiparity, and pregnancy interval > 2 years, history of stillbirth, diabetes, hypertension, hypertension in pregnancy, and antepartum haemorrhage. There are significant correlations between the maternal and perinatal risk factors to the incidence of intrauterine growth restriction (p < 0.05). Low educational status increases the risk of having term IUGR by 1.5 times, hypertension in pregnancy by 1.3 times, and antepartum haemorrhage more than 3 times (p < 0.05). Conclusion: There are correlations among educational status, hypertension in pregnancy and antepartum haemorrhage with the incidence of intrauterine growth restriction. Healthcare providers should improve their knowledge about IUGR risk factors.
Intrauterine Growth Restriction (IUGR) is the term used to designate a fetus that has not reached its growth potential because of genetic or environmental factors. IUGR results in the birth of an infant who is small for gestational age (SGA). It is a disorder that can be found during pregnancy which causes significant mortality and perinatal morbidity rate. The incidence rate of IUGR is 10%. Perinatal mortality rate in IUGR increases 6 - 10 times compared with normal baby and it is the 2nd leading factor that causes perinatal mortality rate [
Incidence of IUGR ranged about 3% - 7% with average of 5.13% depends on the population, geography and terms used in each region. According to Kay et al. [
Management of IUGR during pregnancy and labour depends on the gestational age and maternal or fetal condition. Inpreliminary to four other fetomaternal centres in Indonesia on 2004-2005, there are 571 cases of IUGR from 14.702 delivery with average of 4.40% with minimum of 2.08% in Soetomo General Hospital Surabaya and the highest number in Dr. Sardjito General Hospital Yogyakarta with 6.44%. There are 66.2% of IUGR babies who are having vaginal delivery and others are having c-section [
According to RISKESDAS, the incidence rate of low birth weigh in West Java is 11.0%, higher than national rates with 10.2% [
West Java with an area of 35.377.76 km2, and population of 46,497,175 people [
West Java with 46 million peoples (20%) from total population in Indonesia [
There are 54 public hospitals in West Java [
Maternal risk factor for IUGR was divided based on demography, clinical and outcome. This sample was analysed to define the prevalence of IUGR based on risk factors. Demographic factors analysed in this study are age, educational status, and pregnancy interval. Clinical factors are history of stillbirth, underlying disease and pregnancy complications [
This study design is analytic retrospective cohort, hospital based population. Subjects taken from all patients diagnosed with IUGR on 11 West Java General Hospital. The inclusion criteria are:
1) MPRI data from 11 general hospitals in West Java from 1st April 2012-30th September 2012.
2) Singleton pregnancy.
3) Term gestational age (37 - 42 weeks).
The data processed as univariable, bivariable and multivariable analyses. Statistical analysis for categorical data were performed with Chi-square test, and then the odds ratio was determined, with the confidence index of 95% by value p ≤ 0.05 Multivariable analysis was used to determine the correlation between risk factors that plays role in IUGR and the dominant risk factors that cause IUGR. The data analysed again using multiple logistic regression. The data then analysed using SPSS 21st version.
From 11 district hospitals, data was grouped then processed through editing, computerized data entry, and final data selection for further analysis.
There are more than 13,000 collected from MPRI, but only 10,394 can be included for further analysis. There are 7320 term deliveries with 732 cases (10.4%) of term IUGR. There are 0.92% cases were not included during analysis because incomplete data (
There 23.4% (33 cases) term IUGR patient having history of antepartum haemorrhage. Chi-square value is p = 0.000 (p < 0.05), it means that the result is significant from term IUGR baby with history of antepartum haemorrhage in pregnancy.
Most of the term IUGR patients found in mother with primary school as their educational status with 11.8% (244 cases). Chi-square p value 0.013 (p < 0.05), it means there are significant correlation between educational status and term IUGR (
RSU | Term IUGR | Non term IUGR | Total | ||
---|---|---|---|---|---|
N | % | N | % | ||
1. RS Hasan Sadikin | 132 | 10.4 | 1137 | 89.6 | 1269 |
2. RS Astanaanyar | 67 | 1.0 | 893 | 93.0 | 960 |
3. RS Cianjur | 108 | 12.3 | 770 | 87.7 | 878 |
4. RS Cibabat | 54 | 1.3 | 525 | 90.7 | 579 |
5. RS Garut | 91 | 11.4 | 705 | 88.6 | 796 |
6. RS Majalaya | 35 | 1.7 | 324 | 90.3 | 359 |
7. RS Soreang | 86 | 12.5 | 604 | 87.5 | 690 |
8. RS Subang | 33 | 1.1 | 372 | 91.9 | 405 |
9. RS Sumedang | 63 | 1.8 | 655 | 91.2 | 718 |
10. RS Syamsudin | 12 | 12.4 | 85 | 87.6 | 97 |
11. RS Ujungberung | 81 | 14.4 | 488 | 85.8 | 569 |
Total | 762 | 10.41 | 6558 | 89.59 | 7320 |
Variable | Term IUGR | Non term IUGR | Χ2 p value | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
N | % | N | % | |||||||||
Age (year) | 0.388 | |||||||||||
<20 | 88 | 11.5 | 680 | 88.5 | ||||||||
20 - 35 | 534 | 10.1 | 4735 | 89.9 | ||||||||
>35 | 139 | 11.1 | 1118 | 88.9 | ||||||||
Educational status | 0.013 | |||||||||||
Primary school | 244 | 11.8 | 1823 | 88.2 | ||||||||
Junior high school | 252 | 10.2 | 2221 | 89.8 | ||||||||
Senior high school | 201 | 9.4 | 1940 | 90.6 | ||||||||
College/university | 40 | 7.7 | 477 | 92.3 | ||||||||
Parity | 0.772 | |||||||||||
Primipara | 485 | 10.4 | 4186 | 89.6 | ||||||||
Multipara | 174 | 11.0 | 1407 | 89.0 | ||||||||
Grande multipara | 40 | 10.3 | 350 | 89.7 | ||||||||
Pregnancy interval | 0.095 | |||||||||||
<2 years | 400 | 9.8 | 3663 | 90.2 | ||||||||
>2 years | 342 | 11.1 | 2750 | 88.9 | ||||||||
History of still birth | 0.713 | |||||||||||
Yes | 8 | 11.8 | 60 | 88.2 | ||||||||
No | 754 | 10.4 | 6498 | 89.6 | ||||||||
Underlying disease | ||||||||||||
Diabetes | 0.835 | |||||||||||
Yes | 5 | 11.4 | 39 | 88.6 | ||||||||
No | 757 | 10.4 | 6519 | 89.6 | ||||||||
Hypertension | 0.066 | |||||||||||
Yes | 72 | 12.7 | 496 | 87.3 | ||||||||
No | 690 | 10.2 | 6062 | 89.8 | ||||||||
Renal disease | 0.193 | |||||||||||
Yes | 1 | 33.3 | 2 | 66.7 | ||||||||
No | 761 | 10.4 | 6558 | 89.6 | ||||||||
Pregnancy complication | ||||||||||||
Pregnancy hypertension | 0.03 | |||||||||||
Yes | 173 | 12.0 | 1272 | 88.0 | ||||||||
No | 589 | 10.0 | 5286 | 89.6 | ||||||||
Antepartum haemorrhage | 0.000 | |||||||||||
Yes | 33 | 23.4 | 108 | 76.6 | ||||||||
No | 723 | 10.4 | 6239 | 89.6 | ||||||||
Notes: *Analysed using chi-square; CI: confidence interval.
Variable | Term IUGR | Non term IUGR | p value | Crude OR (CI 95%) | ||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
n | % | n | % | |||||||||||||||||
Age | 0.388 | |||||||||||||||||||
<20 | 88 | 11.5 | 680 | 88.5 | 1.15 (0.90 - 1.46) | |||||||||||||||
20 - 35 | 534 | 10.1 | 4735 | 89.9 | 1.0 | |||||||||||||||
>35 | 139 | 11.1 | 1118 | 88.9 | 1.10 (0.91 - 1.32) | |||||||||||||||
Educational status | 0.013 | |||||||||||||||||||
Primary school | 244 | 11.8 | 1823 | 88.2 | 1.60 (1.13 - 2.26) | |||||||||||||||
Junior high school | 252 | 10.2 | 2221 | 89.8 | 1.35 (0.96 - 1.92) | |||||||||||||||
Senior high school | 201 | 9.4 | 1940 | 90.6 | 1.24 (0.87 - 1.76) | |||||||||||||||
College/university | 40 | 7.7 | 477 | 92.3 | 1.0 | |||||||||||||||
Parity | 0.772 | |||||||||||||||||||
Primipara | 485 | 10.4 | 4186 | 89.6 | 1.0 | |||||||||||||||
Multipara | 174 | 11.0 | 1407 | 89.0 | 1.07 (0.89 - 1.28) | |||||||||||||||
Grande multipara | 40 | 10.3 | 350 | 89.7 | 0.99 (0.70 - 1.34) | |||||||||||||||
Pregnancy interval | 0.095 | |||||||||||||||||||
<2 years | 400 | 9.8 | 3663 | 90.2 | 0.88 (0.75 - 1.02) | |||||||||||||||
>2 years | 342 | 11.1 | 2750 | 88.9 | 1.15 (0.55 - 2.41) | |||||||||||||||
Stillbirth history | 0.713 | |||||||||||||||||||
Yes | 8 | 11.8 | 60 | 88.2 | 1.15 (0.55 - 2.41) | |||||||||||||||
No | 754 | 10.4 | 6498 | 89.6 | ||||||||||||||||
Underlying disease | ||||||||||||||||||||
Diabetes | 0.835 | |||||||||||||||||||
Yes | 5 | 11.4 | 39 | 88.6 | 1.10 (0.43 - 2.81) | |||||||||||||||
No | 757 | 10.4 | 6519 | 89.6 | ||||||||||||||||
Hypertension | 0.066 | |||||||||||||||||||
Yes | 72 | 12.7 | 496 | 87.3 | 1.23 (0.98 - 1.65) | |||||||||||||||
No | 690 | 10.2 | 6062 | 89.8 | ||||||||||||||||
Renal disease | 0.193 | |||||||||||||||||||
Yes | 1 | 33.3 | 2 | 66.7 | 4.3 (0.39 - 47.56) | |||||||||||||||
No | 761 | 10.4 | 6558 | 89.6 | ||||||||||||||||
Pregnancy complication | ||||||||||||||||||||
Hypertension in pregnancy | 0.03 | |||||||||||||||||||
Yes | 173 | 12.0 | 1272 | 88.0 | 1.22 (1.02 - 1.46) | |||||||||||||||
No | 589 | 10.0 | 5286 | 89.6 | ||||||||||||||||
Antepartum haemorrhage | 0.000 | |||||||||||||||||||
Yes | 33 | 23.4 | 108 | 76.6 | 2.64 (1.77 - 3.92) | |||||||||||||||
No | 723 | 10.4 | 6239 | 89.6 | ||||||||||||||||
Description: *Analysed using chi-square; OR: odd ratio; CI: confidence interval.
Bases on history of pregnancy complication, there are 12% (173 cases) term IUGR patients with pregnancy hypertension with p value of 0.03 (p < 0.05). It means that there are significant correlation between pregnancy hypertension and term IUGR.
There are 23.4% (33 cases) term IUGR patients with antepartum haemorrhage as their pregnancy compli- cation with chi-square p value of 0.000 (p < 0.05). It means there are significant correlations between antepartum haemorrhage and term IUGR.
Logistic regression test shows that low educational status such as primary school increase the incidence for term IUGR by 1.5 times, junior high school by 1.3 times and senior high school by 1.2 times (p < 0.05). Hypertension in pregnancy also increase the incidence of term IUGR by 1.3 times and antepartum haemorrhage by more than 3 times (
Educational status, poverty and health care access are important aspects to increase national health status. Well educated woman give them more knowledge about how to take care of themselves during pregnancy. Low educated woman tend to ignore their health status even when they are pregnant and they are a bad decision maker. Some study concluded that low educated woman (primary school) have higher risk factor for having IUGR during pregnancy [
Variable | Koef. B | SE (B) | Nilai p | Adjusted OR (IK 95%) |
---|---|---|---|---|
I. Starting model | ||||
Parity | ||||
- Primipara | - | - | - | 1.00 |
- Multipara | 0.065 | 0.094 | 0.485 | 1.067 (0.888 - 1.282) |
- Grande multipara | −0.014 | 0.174 | 0.937 | 0.986 (0.702 - 1.386) |
Educational status | ||||
- SD | 0.389 | 0.182 | 0.032 | 1.476 (1.034 - 2.108) |
- SMP | 0.252 | 0.181 | 0.165 | 1.286 (0.902 - 1.835) |
- SMA | 0.196 | 0.183 | 0.285 | 1.217 (0.849 - 1.744) |
- Akademi/PT | - | - | - | 1.00 |
Pregnancy interval | 0.115 | 0.081 | 0.154 | 1.122 (0.958 - 1.314) |
Hypertension | −0.010 | 0.157 | 0.947 | 0.990 (0.728 - 1.345) |
Renal disorder | 1.315 | 1.237 | 0.288 | 3.727 (0.330 - 42.11) |
Pregnancy hypertension | 0.266 | 0.111 | 0.017 | 1.304 (1.049 - 1.621) |
Antepartum haemorrhage | 1.138 | 0.222 | 0.000 | 3.121 (2.020 - 4.823) |
II. Final model | ||||
Educational status | ||||
- SD | 0.401 | 0.182 | 0.027 | 1.494 (1.047 - 2.133) |
- SMP | 0.253 | 0.181 | 0.163 | 1.288 (0.903 - 1.837) |
- SMA | 0.195 | 0.183 | 0.287 | 1.216 (0.849 - 1.742) |
- Akademi/PT | - | - | - | 1.00 |
Pregnancy hypertension | 0.277 | 0.099 | 0.005 | 1.319 (1.088 - 1.601) |
Antepartum haemorrhage | 1.150 | 0.222 | <0.001 | 3.159 (2.045 - 4.878) |
Description: Data were count and tested using multiple regression test (Wald test), model accuracy 89.6. OR: odd ratio.
Some studies concluded that high educated woman showed healthy behaviour and tend to take care of them- selves better [
Theoritically, antepartum haemorrhage is a risk factor to IUGR because of oxygen insufficiency to the fetal that cause prolong state of hypoxia. There are 15% of IUGR cases having antepartum haemorrhage as their pregnancy complication. In this study, we found that there are significant relationship between antepartum hae- morrhage with IUGR [
In this study, hypertension in pregnancy show significant relationship to IUGR. There are shallow cytothrophoblast invasion to the uterus and abnormal differentiation cytothrophoblast in the placenta of preeclampsia mother. Failed or cytothrophoblast error remodelling will cause artery spasm that cause vascular constriction that cause decreasing insufficient blood perfusion that leads to hypoxia to the baby and causing IUGR [
Incidence of term IUGR in West Java is 10.4%. Incidence of term IUGR has a higher rate in: 1) low educated mother, 2) hypertension in pregnancy, 3) antepartum haemorrhage. There are correlations between demographic factor (low educational status) and clinical factor (pregnancy hypertension, antepartum haemorrhage) with IUGR in term delivery at West Java general hospital during April-September 2012. Low educational status (primary school) increases the risk of IUGR by 1.5 times, pregnancy hypertension by 1.3 times, and antepartum haemorrhage by more than 3 times.
Pipih Afiyatin,Firman Fuad Wirakusumah,Hadi Susiarno,Sofie Rifayani Krisnadi,Jusuf Sulaeman Effendi,Supriyadi Gandamihardja, (2015) Demographic and Clinical Factor of IUGR Baby in West Java General Hospital. Open Access Library Journal,02,1-7. doi: 10.4236/oalib.1101609