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- DOI 10.18231/j.ijogr.2020.078
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CrossMark
- Citation
Modified biophysical profile in the role of predicting fetal outcome in high risk pregnancies
- Author Details:
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Pavitra Reddy Nalamaru
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V Mallikarjuna Reddy *
Introduction
One of the most important landmarks in the life of a woman is motherhood. This is an event that not only she, but her whole family wait for. And nothing can be more important than to make this happy event smooth, with least amount of pain and complications. However, every day, around 830 women die due to birth related complications.[1] 47 out of 1000 women globally and about 25 women per thousand in India die each year with these complications.[1] Thus, the greatest challenge to an obstetrician is to identify and counter these complications at the earliest [2] These complications may be due to individual, environmental or circumstantial factors, which tend to result in adverse effects to both the mother and child, ending in high risk pregnancies.
High risk pregnancies are these that result in maternal or fetal morbidity or mortality. These may include conditions such as pre-eclampsia, eclampsia, oligohydramnios, anemia etc.[3] Therefore, it becomes very important for early identification of the risk so that immediate treatment can be given. In order to reduce the morbidity and mortality of both the mother and child, there are a number of antepartum fetal surveillance methods.[4] All of them mainly include the electronic monitoring of the fetal heart rate, assessment of the amniotic fluid volume, mainly by ultrasonogram, and observation of various biophysical parameters of the fetus.[5] However, these may lead to the caesarian section delivery.[6], [7], [8]
Some of the common methods whIch are used for the surveillance of the fetal heart rates are the contraction stress test (CST), the non stress test (biophysical profile) and NST with the amniotic fluid volume (Modified biophysical profile). A cardiotocograph machine measures the fetal heart rate along with the mother’s contractions, but it is not said to be very reliable on its own. It has been reported that the if the oxygen supply through the placenta to the baby is reduced, then the fetal movements also reduce. Thus the fetal activity is one of the measures to predict the outcome.
The biophysical profile measures the fetal movement along with the tone and breathing. The modified BPP measures all these along with the volume of the amniotic fluid surrounding the baby.[9] The MBPP is said to have high positive and negative predictive value.
This study was done to evaluate the efficacy of modified biophysical profile as a predictor of the fetal outcome in case of high risk pregnancies.
Materials and Methods
This study was done by the department of obstetrics and Gynaecology at Mahaveer Medical college during the period of one year i.e from October 2018 to August 2019. 145 patients with high risk pregnancies and with a gestation age of more than 32 weeks were included into the study. All these patients were chosen randomly. Patients having one or more of the following characters were considered to be high risk pregnancies – age above 35 years, post dated pregnancy, hypertension, anemia, gestational diabetes, decreased fetal movements, pre-eclampsia, gestational age beyond 40 weeks, clinically suspected intraueterine growth restriction. Fetuses with congenital abnormalities, patients with low risk pregnancies, high risk pregnancy with less than 32 weeks of gestation, seriously ill patients, multiple pregnancies were excluded from the study.
The nature of the study was explained to the patients and their relatives and informed consent was taken from all of them. Those who refused the consent were excluded from the study. Detailed demographic data was collected from all the patients and they were subjected to thorough clinical examination. Maternal complications such as earlier history of still birth, low weight gain of the mother during the pregnancy, any thyroid, renal or cardiac history, anemia and Rh incompatibility were specifically noted.
Non stress test (NST) was done for all the patients. The fetal heart rate, movements and tone was measured along with the uterine contractions. If there were more than 2 fetal movements with two accelerations of 15 beats / minute or more within 10 mintues of monitoring, the test was rendered reactive. The amniotic fluid index in such as case should be >5.0cm. In case of no spontaneous accelerations after 10 minutes of monitoring, stimulation of the fetal sound was performed by direct application of an artificial larynx onto the mothers abdomen. This stimulation was done for 1 second followed in 1 minute for 2 seconds. In case there were still no accelerations, it was further repeated for 3 seconds after 1 minute. If there was no acceleration after 20 minutes on monitoring, it was continued for 20 more mintues. After 40 minutes, if there were still no movements, the test was considered to be non reactive.
This test was done twice a week for all the patietns till their delivery. In case the NST score was non reactive but the amniotic fluid indes was <8, the patient was considered for LSCS. In case of a reactive and normal AFI, the patient was encouraged for spontaneous labour. If the patient was non reactive with low AFI, in the last 7 days also, then the delivery was analysed.
All the patietns were monitored during the delivery for meconium stained liquor, APGAR score of the fetus, morbidity in the fetus or perinatal death.
All the data was statistically analysed using the charts and tables. For comparison, chi square test was used.
Results
There were 145 high risk pregnant mothers included into the study. The mean age of the women was 23.3 ± 5.1 years and the mean gestational age of them was 34.87 ± 3.91 weeks. The number of women with < 8 Amniotic Fluid index was, 54 (37.2%), and those ≥8 was 91 (62.8%). 66 (45.5%) of the women had a nonreactive Non stress test and 71 (48.96%) of them had an Abnormal Biophysical Profile ([Table 1]).
Characteristics | Number |
Mean Age (in years) | 23.3 ± 5.1 |
Mean Gestational Age (in weeks) | 34.87 ± 3.91 |
Amniotic Fluid Index Status | |
< 8 | 54 (37.2%) |
≥8 | 91 (62.8%) |
Non Reactive NST | 66 (45.5%) |
Abnormal Biophysical Profile | 71 (48.96%) |
The most predominant risk factors which was present in the expectant mothers was decreased movements of the fetus, seen in 48 (33.1%) cases, followed by hypertension in 36 (24.8%), Oligohydramnios in 32 (22.1%), hypothyroidism in 29 (20%) and gestational diabetes in 24 (16.6%) mothers ([Table 2]).
Risk Factors | Number (%) |
Anemia | 22 (15.2%) |
Hypertension | 36 (24.8%) |
Gestational Diabetes | 24 (16.6%) |
Hypothyroidism | 29 (20%) |
Decreased fetal mobility | 48 (33.1%) |
Oligohydramnios | 32 (22.1%) |
RH incompatibility | 9 (6.2%) |
Bad obstetric History | 13 (9%) |
IUGR | 11 (7.6%) |
Others | 8 (5.5%) |
27% of the patients had to be induced for vaginal delivery while spontaneous delivery was seen in 32 (22%) of the cases. 35 (24%) of the patients elected to go in for LSCS delivery while emergency LSCS was done on 20 (14%) of the patients ([Figure 1]).

Meconium stained liquor was seen in 20 (30.3%) Abnormal NST patients, 13 (24.1%) Low AFI and 22 (31%) abnormal BPP patients. Amongst the normal NST patients, Meconium stained liquor was seen in 4 (5.1%) patients, in 11 (12.1%) normal AFI patients and 2 (2.7%) normal BPP patients. A low APGAR score was observed in 24 (36.4%) Abnormal NST patients, 4 (5.1%), normal NST patients, 18 (33.3%) low AFI, 10 (11%) normal AFI, 26 (36.6%) abnormal BPP and 2 (2.7%) normal BPP patients. 46 babies were admitted to the neonatal unit for further monitoring out of which, 40 (60.6%), 32 (40.5%) and 41 (57.7%) has abnormal NST, low AFI and abnormal BPP respectively ([Table 3]).
Outcome | NST | AFI | BPP | |||
Abnormal | Normal/Reactive | Abnormal | Normal/Reactive | Abnormal | Normal/Reactive | |
Number | 66 | 79 | 54 | 91 | 71 | 74 |
Meconium stained liquor (n=24) | 20 (30.3%) | 4 (5.1%) | 13 (24.1%) | 11 (12.1%) | 22 (31%) | 2 (2.7%) |
APGAR<5m (n=28) | 24 (36.4%) | 4 (5.1%) | 18 (33.3%) | 10 (11%) | 26 (36.6%) | 2 (2.7%) |
Admission to Neonatal Unit (n=46) | 40 (60.6%) | 6 (7.6%) | 32 (40.5%) | 14 (15.4%) | 41 (57.7%) | 5 (6.8%) |
Low Birth weight (n= 59) | 51 (77.3%) | 8 (10.1%) | 49 (90.7%) | 10 (11%) | 53 (74.6%) | 6 (8.1%) |
Newborn mortality (n=4) | 4 (6.1%) | 0 (0) | 3 (5.6%) | 1 (1.1%) | 4 (5.6%) | 0 (0) |
68 (46.9%)mothers with high risk pregnancy had a normal NST and AFI, while 43 (29.7%) of them had an Abnormal NST with Abnormal AFI. 11 (7.6%) of them had Normal NST but an Abnormal AFI and 23 (15.9%) had and Abnormal NST with a Normal AFI ([Table 4]).
Parameter | Number (%) |
Normal NST, Normal AFI | 68 (46.9%) |
Abnormal NST, Abnormal AFI | 43 (29.7%) |
Normal NST, Abnormal AFI | 11 (7.6%) |
Abnormal NST, Normal AFI | 23 (15.9%) |
The overall sensitivity of NST, AFI and MBPP was 93.5%, 91.6% a d 06.9% respectively while the specificity was 20.5%, 39.2% and 41.1% respectively. The PPv was 74.7%, 80.4%, and 79.5% and NPV was 73.2%, 80.4% and 79.5% among the NST, AFI and MBPP respectively ([Table 5]).
Overall outcome | NST | AFI | MBPP |
Sensitivity | 93.5% | 91.6% | 96.9% |
Specificity | 20.5% | 39.2% | 41.1% |
Positive Predictive Value | 74.7% | 80.4% | 79.5% |
Negative Predictive Value | 73.2% | 78.8% | 74.6% |
Discussion
In the 19th century itself, the limit of the fetal heart rate was reported to be around 120 beats per minute by Winkel in 1893, but it took around 60 years for the first heart beat to be heard in 1950.[10] Since then there has been a steady development in the monitoring of the fetal heartbeat and quantification of the fetal activity.[11], [12], [13], [14] As a result, discrepancy of the fetal heart rate and monitoring being of vital importance has been known for a long time now. In 1976, an easy and reliable method to monitor the fetal heart rate to be Non stress test was suggested.[15] Over time, the two variables, NST and AFI were used.[16], [17], [18] In the present study, also we have compared the efficacy of NST and AFI and MBPP as a predictor for the fetal distress in high risk pregnancies.
The mean age of the women in the present study was 23.3 ± 5.1 years and the mean gestational age of them was 34.87 ± 3.91 weeks. This was corroborated by a study by Agarwal et al, who reported a mean age of 24.32 and the gestational mean to be 35.23 weeks.[3] A similar study by Nageotte et al reported a mean age to be 28.2 ± 6 and a mean gestational age to be 40.1 ± 2.3 weeks, both of which were slightly higher than that of our study.[5]
The number of women with < 8 Amniotic Fluid index was, 54 (37.2%), and those ≥8 was 91 (62.8%) in our study. A similar study by Agarwal et al had a total of 32.8% of the patietns with an AFI od < 8.
The most predominant risk factors which was present in the expectant mothers was decreased movements of the fetus, seen in 48 (33.1%) cases, followed by hypertension in 36 (24.8%), Oligohydramnios in 32 (22.1%), hypothyroidism in 29 (20%) and gestational diabetes in 24 (16.6%) mothers. In a study by Borade et al, in accordance to our study, hypertension was the most predominant risk factor in the mother after prolonged pregnancy with no other risk factor. IUGR and oligohydramnios were other common risk factors.[19] Vijayalakshmi et al also reported hypertension to be the most common cause of risk in 25% of the patients which was followed by decreased fetal movements and oligohydramnios.[20]
The most common method of delivery in our study was by induced vaginal delivery in 27% of the patietns, while 22% underwent spontaneous delivery. 24% of the patients underwent elective LSCS and 14% of the patients had emergency LSCS. In a similar study, Arya and Thapa, reported 14% of LSCS in the patients while the incidence of vaginal delivery was 54%.[21] A higher caesarian rate of 47% was seen in a study by Vijayalakshmi et al.[20]
In the present study, Meconium stained liquor was seen in 20 (30.3%) Abnormal NST patients, 13 (24.1%) Low AFI and 22 (31%) abnormal BPP patients. Amongst the normal NST patients, Meconium stained liquor was seen in 4 (5.1%) patients, in 11 (12.1%) normal AFI patients and 2 (2.7%) normal BPP patients. A low APGAR score was observed in 24 (36.4%) Abnormal NST patients, 4 (5.1%), normal NST patients, 18 (33.3%) low AFI, 10 (11%) normal AFI, 26 (36.6%) abnormal BPP and 2 (2.7%) normal BPP patients. 46 babies were admitted to the neonatal unit for further monitoring out of which, 40 (60.6%), 32 (40.5%) and 41 (57.7%) has abnormal NST, low AFI and abnormal BPP respectively. Similar results were observed by Agarwal et al and Maurya et al.[3], [22]
Overall, the present study showed a sensitivity of 93.5%, 91.6% and 96.9% among the NST, AFI and MBPP respectively, while the specificity was low with 20.5%, 39.2% and 41.1% in the same categories. The PPv was 74.7%, 80.4%, and 79.5% and NPV was 73.2%, 80.4% and 79.5% among the NST, AFI and MBPP respectively. Agarwal et al, in their study reported the sensitivity and specificity individually for the different tests and found AFI to be 57.7% sensitive and 73.7% specific, while Sultana et al[23] reported it to be 57.1% and 51.3%. A study by Tasneem et al[24] reported the sensitivity for thick/thin meconium to be 80.6% while Anand et al[25] found the sensitivity to be 62% for MSL.
Conclusion
Our results show that the overall sensitivity and the specificity of NST, AFI and MBPP are comparable to each other in the detection of fetal distress, though MBPP is marginally better.
Source of Funding
None.
Conflict of Interest
None.
References
- . World Health Organization Media Centre. Maternal mortality fact sheet No. 348. 2016. [Google Scholar]
- C Agaro, J Beyeza-Kashesya, P Waiswa, J N Sekandi, S Tusiime, R Anguzu. The conduct of maternal and perinatal death reviews in Oyam District, Uganda: a descriptive cross-sectional study. BMC Women's Health 2016. [Google Scholar]
- M Agarwal, N Nigam, S Goel. Naheed Zia Khan. The role of biophysical profile in high risk pregnancies and the fetal outcome. Int J Biomed Res 2018. [Google Scholar]
- M Ray, R Freeman, S Pine, R Hesselgesser. Clinical experience with the oxytocin challenge test. Am J Obstet Gynecol 1972. [Google Scholar]
- M P Nageotte, C V Towers, T Asrat, R K Freeman. Perinatal outcome with the modified biophysical profile. AmJ Obstet Gynecol 1994. [Google Scholar]
- G Chamberlain, E Philipp, K Howlett, Masters. . British Births 1970. H. Obstetric Care 1978. [Google Scholar]
- D M F Gibb, L D Cardozo, J W W Studd, D J Cooper. Prolonged pregnancy: is induction of labour indicated? A prospective study. Br J Obstet Gynaecol 1982. [Google Scholar]
- S Wood, S Cooper, S Ross. Does induction of labour increase the risk of caesarean section? A systematic review and meta-analysis of trials in women with intact membranes. Int J Obstet Gynaecol 2014. [Google Scholar]
- J G Lalor, B Fawole, ZAlfirevic, D Devane. Biophysical profile for fetal assessment in high risk pregnancies. Cochrane Database Syst Rev 2008. [Google Scholar] [Crossref]
- F A Manning, L D Platt, L Sipos. Antepartum fetal evaluation: Development of a fetal biophysical profile. Am J Obstet Gynecol 1980. [Google Scholar]
- D Gibbs. Foetal monitoring in practice. Clinical assessment and practice 2000. [Google Scholar]
- R L Gadd. The volume of liquor amni in normal and abnormal pregnancy. J Obstet Gynecol 1966. [Google Scholar]
- E H Hon, E J Quilligan. The classification of foetal heart rate. II a revised working classification. Conn Med 1967. [Google Scholar]
- E Sadovsky, H Yaffe. Daily foetal movement recording and foetal prognosis. Obstet Gynaecol 1973. [Google Scholar]
- C Y Lee, P C Diloreto, J M Olane. The study of FHR acceleration patterns. Obstet Gynaecol 1975. [Google Scholar]
- J A Read, F C Miller. FHR acceleration response to acoustic stimulation as a measure of foetal well being. Am J Obstet Gynaec 1977. [Google Scholar]
- A M Vintzileous, W A Campbell, C J Ingardie, D J Nochimson. The foetal BPP and it predictive value. Obstet Gynaecol 1985. [Google Scholar]
- P F Chamberlain, F A Manning, I Morrison. Ultrasound evaluation of amniotic fluid volume I the relationship of marginal and decreased amniotic fluid volumes to perinatal outcome. Am J Obstet Gynaecol 1984. [Google Scholar]
- J S Borade, S P Sharma. The role of modified biophysical profile in predicting perinatal outcome in high risk pregnancies. Int J Reprod, Contracept, Obstet Gynecol 2018. [Google Scholar]
- K Vijayalakshmi, M Sivakumari. Modified Biophysical Profile and Fetal Outcome. Ind J Appl Res 2016. [Google Scholar]
- T S Arya, R Thapa. Prediction of fetal outcome in high risk pregnancy with a modified biophysical profile. Int J Gynaecol 2017. [Google Scholar]
- A Maurya, V Kushwah. Modified Biophysical Profile and Fetal Outcome in High Risk Pregnancy. Sch J App Med Sci 2014. [Google Scholar]
- S Sultana, Mna Khan, Kak Akhtar, M Aslam. Low Amniotic Fluid Index in High-Risk Pregnancy and Poor Apgar Score at Birth. J Coll Phys Surg 2008. [Google Scholar]
- S A Tasneem, A Kolur, M K Ali, F Qushnood. A Study of Amniotic Fluid Index in Term Pregnancy. Int J Curr Res Aca Rev 2014. [Google Scholar]
- A R Tambat, A Chauhan. Relationship of the Findings of Colour Doppler and Non-Stress Test with the Perinatal Outcome among the Cases of Intra-Uterine Growth Restriction. J Med Sci 2016. [Google Scholar]