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Erschienen in: BMC Pregnancy and Childbirth 1/2016

Open Access 01.12.2016 | Research article

Birth weight centiles by gestational age for twins born in south India

verfasst von: Prasanna Premkumar, Belavendra Antonisamy, Jiji Mathews, Santhosh Benjamin, Annie Regi, Ruby Jose, Anil Kuruvilla, Mathews Mathai

Erschienen in: BMC Pregnancy and Childbirth | Ausgabe 1/2016

Abstract

Background

Birth weight centile curves are commonly used as a screening tool and to assess the position of a newborn on a given reference distribution. Birth weight of twins are known to be less than those of comparable singletons and twin-specific birth weight centile curves are recommended for use. In this study, we aim to construct gestational age specific birth weight centile curves for twins born in south India.

Methods

The study was conducted at the Christian Medical College, Vellore, south India. The birth records of all consecutive pregnancies resulting in twin births between 1991 and 2005 were reviewed. Only live twin births between 24 and 42 weeks of gestation were included. Birth weight centiles for gestational age were obtained using the methodology of generalized additive models for location, scale and shape (GAMLSS). Centiles curves were obtained separately for monochorionic and dichorionic twins.

Results

Of 1530 twin pregnancies delivered during the study period (1991–2005), 1304 were included in the analysis. The median gestational age at birth was 36 weeks (1st quartile 34, 3rd quartile 38 weeks). Smoothed percentile curves for birth weight by gestational age increased progressively till 38 weeks and levels off thereafter. Compared with dichorionic twins, monochorionic twins had lower birth weight for gestational age from after 27 weeks.

Conclusions

We provide centile values of birth weight at 24 to 42 completed weeks of gestation for twins born in south India. These charts could be used both in routine clinical assessments and epidemiological studies.
Hinweise

Competing interests

The authors declare that they have no competing interests

Authors’ contributions

PP performed the statistical analysis, designed the figures and drafted the manuscript. BA conceived the study, oversaw the project, provided the statistical advice and helped critically revise the manuscript. JM, SG, AR, RJ, AK and MM contributed to the interpretation of data and helped to revise the manuscript. All authors reviewed and approved the final manuscript.
Abkürzungen
GAMLSS
generalized additive models for location scale and shape

Background

Rate of twin births is rising due to the increased use of assisted reproductive technologies in the recent years [1]. Birth weight of twins are considerably lower than singletons and associated with higher risk for adverse perinatal and infant outcomes [2, 3]. Birth weight centiles by gestational age is often used as a health indicator and to understand the natural extent of variation in birth weight. There have been many studies of twin birth weight centiles worldwide [47], but are of limited use in developing settings like India owing to the use of non-representative populations. In India, information on twins is quite limited, and most previous studies on centile curves focused only on singleton births [810]. Currently, the clinical practice is that centiles curves for singleton births are used as an estimate to evaluate twin births. However, recent studies suggest use of singleton centile curves on twins is not appropriate as twins experience different growth trajectories than singletons [11]. Moreover, several studies have recommended the development of twin specific centile curves to evaluate twin births [1215].
Twin births are further complicated by placental chorionicity. Monochorionic twins present a two to three times higher risk for adverse outcomes than dichorionic twins [16], with birth weights of monochorionic twins lower than those of dichorionic twins over the gestational ages. Further, monochorionic placentation increases the risk of serious pregnancy complications (such as twin-to-twin transfusion syndrome), congenital anomalies, growth restriction, and perinatal death [17].
Past studies have indicated that placental chorionicity should be taken into consideration in assessment of twin births [18]. The lack of centile curves specific to twins could be a limiting factor in understanding the distribution of birth weight and further evaluation of twin births. Therefore, we carried out the present study to construct gestational age specific birth weight centile curves for twins born in South India, stratified by placental chorionicity (monochorionic and dichorionic placentation).

Methods

Setting and population

This study was based on labour room records and medical records maintained by the Department of Obstetrics and Gynaecology at the Christian Medical College, Vellore. This hospital serves as a maternity centre with almost 9000 deliveries annually (during the study period, 1991–2005). It provides obstetric care to local population of Vellore city and for surrounding towns and villages and also acts as a tertiary hospital. Besides women from Vellore district, women from neighbouring districts in Tamil Nadu and adjoining states of Andhra Pradesh and Karnataka also deliver in the institution. Most pregnancies are registered early during the first or second trimesters and followed up thereafter for antenatal care.
Ethical approval of the study protocol was obtained from the Institutional Review Board (IRB: 2000-no.4481) of the Christian Medical College, Vellore. However, because of the retrospective nature of the study and data were extracted from medical records/labour room registers with no individual identifications, and hence individual informed consent was not obtained.

Study sample

The study sample included all twin pregnancies delivered at the centre between January 1, 1991 and December 31, 2005. Pregnancies in which at least one child died, or missing information on study variables were excluded from further analysis.

Study variables

Birth weight was measured immediately after birth on a Braun weighing scale to the nearest 50 g. Gestational age was determined as the number of completed weeks of gestation from the last menstrual period (LMP) to the date of birth. This was best estimated using combinations of the last menstrual period (LMP), early clinical examination and early ultrasound scans. If there was a difference between gestational age estimated from LMP and ultrasound, the ultrasound estimate was used. Placental chorionicity was diagnosed by ultrasound and confirmed by gross examination of placenta after the birth.

Statistical analysis

From an initial exploratory analysis, we found that the distribution of birth weight at extreme gestational ages was non-normal and the general pattern of relationship between birth weight and gestational age was not linear. Given these violations in the usual assumptions of regression analyses, we chose the generalized additive model for location scale and shape (GAMLSS) approach [19]. This approach is highly flexible as it relaxes the traditional distributional assumptions about normality to include even highly skewed and kurtotic distributions. It extends not only to model mean but all other parameters (standard deviation, skewness and kurtosis) of the distribution as linear, non linear or smoothing functions of explanatory variables (gestational age). In our analyses, we have used Box-Cox t (BCT) distribution for modeling birth weight as non-parametric cubic spline functions of gestational age. Model selection was based on generalized Akaike Information Criterion (GAIC) and the model with smallest value of the GAIC is selected. Worm plots were used for visual inspection of the fit of the smoothed curves and were further confirmed by superimposing the smoothed centiles on observed empirical centiles. Centile curves were obtained for the entire sample and were also constructed according to placental chorionicity. The GAMLSS package for R statistical software (version 2.13.1) was used for the analysis [20].

Results

During the study period, a total of 1673 multiple pregnancies were delivered. Of which, the following were removed sequentially from further analysis (triplets = 39; fetal deaths of one or more foetuses = 141; missing data on chorionicity = 170; and missing data on birth weight and/or gestational age = 19). Thus complete data were available from 1304 twin gestations for analyses. The mean maternal age of mothers included in the sample was 25.2 years (SD = 4.3) and 46 % of mothers were primigravid. A total of 88 (6.7 %) mothers were conceived using some form of assisted reproductive technologies, while approximately (64) 5 % of mothers experienced gestational diabetes and (224) 17 % had preeclampsia. Eighty two percent of the women in our sample were Hindus, 11 % were Muslims and 7 % were Christians. About 8 % (106) of mothers were illiterates. There were 457 (35 %) monochorionic pregnancies.
The median gestational age at birth was 36 weeks (IQR 34–38 weeks). There was a 4.1 % increase in adjusted (for gestational age) mean birth weight from 2050 g in 1991 to 2135 in 2005. Dichorionic twins were heavier than monochorionic twins with an adjusted (for gestational age) mean of 2138 g compared with 2, 054 g respectively. The mean birth weight discordance was 13.1 % (SD = 10.3 %, median = 11.1 %). Considering a threshold of 18 % [18], birth weight discordance was identified in 360 out of 1304 pregnancies (27.6 %).
Examining the 50th centile, the weekly increase in birth weight flattens by 38 weeks of gestation and thereafter gain in the median birth weight was negligible (Fig. 1). To assess the validity of the fitted model, the expected percentage of observed birth weights below each centile was compared with observed percentage across gestational ages. About, 9 % fell below the 10th centile, 80.4 % between 10th and 90th centile and 9.9 % above the 90th centile. Further, the fit of the curves estimated from the statistical models were confirmed by overlaying the empirical centiles on top of the smoothed centiles (Fig. 1).
Figure 2 present birth weight centile curves for twins according to placental chorionicity. Monochorionic twins were consistently smaller than dichorionic twins after 27 weeks of gestation, with a fall-off across centiles of birthweight (Tables 1 and 2).
Table 1
Distribution of birthweight by gestational age (weeks) for twins according to chorionic placentation
 
Monochorionic
Dichorionic
GA
N
P10
P50
P90
Mean
SD
N
P10
P50
P90
Mean
SD
24
4
600
640
708
650
60.00
2
555
575
595
575
35.36
25
8
657
725
815
733.75
71.30
2
681
725
769
725
77.78
26
8
709
840
1018
860
147.45
4
698
740
775
737.5
45.00
27
2
756
780
804
780
42.43
12
660
840
1091
889.17
215.43
28
6
830
1120
1375
1108.33
264.08
12
610
1015
1205
987.5
230.26
29
26
785
1125
1300
1076.92
195.44
16
1060
1265
1425
1243.75
176.74
30
18
1052
1270
1503
1263.89
182.92
26
1130
1285
1550
1304.23
220.53
31
18
1075
1400
1645
1387.22
275.66
50
1189
1500
1823
1504.2
275.19
32
54
1212
1550
1947
1578.89
306.84
80
1104
1580
1873
1531.62
322.79
33
54
1258
1680
1887
1633.7
303.12
84
1383
1750
2278
1820.82
380.85
34
70
1489
1922.5
2302
1944.5
332.03
136
1520
1885
2255
1891.92
306.12
35
90
1550
1950
2301
1933.89
301.72
178
1667
2025
2560
2060.86
344.94
36
134
1550
2250
2585
2143.02
416.99
236
1645
2200
2570
2164.37
391.02
37
136
1775
2240
2790
2248.53
430.99
322
1840
2350
2800
2340.81
384.96
38
146
1895
2400
2895
2419.79
397.78
276
1985
2450
3040
2469.31
409.96
39
82
1830
2350
3000
2349.88
419.67
192
1825
2500
3094
2485.16
470.86
40
42
1924
2300
2886
2364.52
423.32
44
2109
2565
3024
2576.82
407.95
41
16
1395
1960
2650
2013.75
553.98
16
1925
2470
2895
2410
429.33
       
6
1960
2850
3030
2613.33
524.96
P10 10th centile, P50 50th centile, P90 90th centile
Table 2
Smoothed birthweight (g) centiles by gestational age (weeks) for twins according to chorionic placentation
  
Monochorionic
 
Dichorionic
GA
N
P5
P10
P25
P50
P75
P90
P95
N
P5
P10
P25
P50
P75
P90
P95
24
4
435
478
550
627
702
768
807
2
337
391
461
524
587
657
713
25
8
503
553
636
725
812
889
934
2
426
490
574
652
729
813
877
26
8
570
628
721
823
921
1008
1059
4
516
589
687
779
870
967
1040
27
2
637
701
806
919
1029
1126
1183
12
610
692
804
910
1015
1125
1205
28
6
707
778
894
1019
1141
1249
1312
12
709
799
924
1045
1165
1288
1376
29
26
782
861
990
1129
1264
1383
1453
16
810
908
1047
1184
1319
1455
1551
30
18
873
961
1104
1259
1409
1542
1621
26
914
1020
1173
1324
1475
1624
1728
31
18
974
1073
1233
1405
1574
1722
1810
50
1020
1134
1301
1468
1633
1796
1907
32
54
1081
1190
1367
1559
1746
1911
2008
80
1128
1250
1431
1613
1794
1971
2089
33
54
1187
1307
1502
1712
1917
2098
2205
84
1238
1368
1563
1761
1957
2148
2274
34
70
1293
1424
1636
1865
2089
2286
2402
136
1347
1485
1693
1907
2119
2323
2457
35
90
1393
1533
1762
2009
2250
2462
2587
178
1454
1600
1821
2050
2277
2494
2635
36
134
1489
1639
1883
2147
2404
2631
2765
236
1557
1709
1943
2187
2428
2657
2805
37
136
1569
1727
1985
2263
2535
2774
2915
322
1653
1812
2057
2314
2569
2809
2963
38
146
1624
1788
2055
2343
2624
2872
3018
276
1739
1904
2160
2428
2695
2946
3105
39
82
1647
1815
2087
2381
2666
2919
3069
192
1817
1987
2251
2531
2808
3068
3232
40
42
1646
1819
2096
2391
2680
2937
3090
44
1890
2064
2337
2626
2913
3181
3349
41
16
1613
1801
2091
2391
2684
2952
3119
16
1960
2138
2419
2718
3014
3290
3462
42
0
       
6
2028
2210
2499
2807
3113
3396
3573
P5 5th centile, P10 10th centile, P25 25th centile, P50 50th centile, P75 75th centile, P90 90th centile, nd P95 95th centile

Discussion

In this study, we constructed new birth weight centile curves for twins born in South India. We have presented centile curves by chorionic placentation to facilitate consideration of chorionicity in the assessment of twin births.
The overall pattern of change in birthweight over gestational age was characterized by a rapid change in weight till 38 weeks and reduction in change then onwards. Given that it is increasingly possible to determine chorionicity prenatally, it is important to consider placental chorionicity in the assessment of growth in twins. Our comparison of centile curves by chorionicity showed that birth weights of monochorionic twins were lower than dichorionic twins in gestational ages between 28 and 42 weeks. This could be explained by the increased demands with advancing gestational age in monochorionic twins which share a common placenta and this heightened demand may not be met as adequately as in dichorionic twins- leading to the difference between two groups.
Previous studies on distribution of birth weights in India have mainly been based on singleton births. Birth weights from our study were consistently lower than those of singletons [8]; the differences were approximately 500 g between gestational ages 32 and 42 weeks. This difference was similar to that seen in other published studies on the birth weight centile curves for twins [4, 6].
The data presented here is based on the largest sample size reported till date from India. However, in developing settings like India, it is considerably difficult to obtain precise obstetrical records on measurements at birth for a large number of twins, as there are not many population based twin registries. The new birth weight curves may provide useful evidence for better understanding the birth weight of twins born in South India. For instance, it could serve as a useful tool for clinicians to evaluate and assess the birth weight of newborn twins. Additionally, this new centile curves should be a useful for epidemiologic research on twins related to determination of geographic differences, temporal trends and etiologic determinants of distribution of birth weight.
One of some limitations of this study is that the data were drawn from a tertiary care hospital, and hence it may restrict the generalizability of our results. However, given that twin pregnancies are considered as high-risk and often referred to tertiary care hospitals, the problems related to generalizability might be less likely. Another limitation is the measurement of gestational age using dates of last menstrual period, which suffers from recall bias. We believe our estimates are likely to be improved with the use of early ultrasound to correct estimates of gestational age. Also, data on birthweight and placental chorionicity captured during the course of routine clinical care may not be as precise as measurements under more controlled research settings. Thus, for example, we were not able to ascertain the extent of intra or inter observer variability. Additionally, the number of infants in extreme gestational ages was not sufficiently larger to enable accurate estimation of centiles. Further, in our study, the inclusion criteria resulted in a more general reference for birth weight, describing the variation in birth weight within a reference population and did not delineate variation that can be considered ‘ideal’ or of ‘desirable targets’. Despite these limitations, our study will add to the existing scanty literature on birth weight distributions for twin births and will provide basis for future epidemiological studies on twins from this region.

Conclusion

The use of population specific birth weight centile curves will better aid both the clinician and researcher in the assessment of the birth weight of twins. Further, we recommend that assessment in twins consider placental chorionicity. The charts will provide a benchmark to examine the birth weight of twins in relation to other twins born of same gestational age, and would serve as a baseline for future epidemiological research studies. Future work will be to assess whether the infants identified in this way are those with high risk for poor perinatal outcomes, such as stillbirth and neonatal death.

Acknowledgements

We acknowledge Nithya Jeyaseeli and Regina Varghese for their assistance with the data collection.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.

Competing interests

The authors declare that they have no competing interests

Authors’ contributions

PP performed the statistical analysis, designed the figures and drafted the manuscript. BA conceived the study, oversaw the project, provided the statistical advice and helped critically revise the manuscript. JM, SG, AR, RJ, AK and MM contributed to the interpretation of data and helped to revise the manuscript. All authors reviewed and approved the final manuscript.
Literatur
2.
Zurück zum Zitat Cheung YB, Yip P, Karlberg J. Mortality of Twins and Singletons by Gestational Age: A Varying-Coefficient Approach. Am J Epidemiol. 2000;152:1107–16.CrossRefPubMed Cheung YB, Yip P, Karlberg J. Mortality of Twins and Singletons by Gestational Age: A Varying-Coefficient Approach. Am J Epidemiol. 2000;152:1107–16.CrossRefPubMed
3.
Zurück zum Zitat Garite TJ, Clark RH, Elliott JP, Thorp JA, the Pediatrix/Obstetrix Perinatal Research Group. Twins and triplets: The effect of plurality and growth on neonatal outcome compared with singleton infants. Am J Obstet Gynecol. 2004;191:700–7.CrossRefPubMed Garite TJ, Clark RH, Elliott JP, Thorp JA, the Pediatrix/Obstetrix Perinatal Research Group. Twins and triplets: The effect of plurality and growth on neonatal outcome compared with singleton infants. Am J Obstet Gynecol. 2004;191:700–7.CrossRefPubMed
6.
Zurück zum Zitat Min SJ, Luke B, Gillespie B, Min L, Newman RB, Mauldin JG, Witter FR, Salman FA, O’Sullivan MJ. Birth weight references for twins. Am J Obstet Gynecol. 2000;182:1250–7.CrossRefPubMed Min SJ, Luke B, Gillespie B, Min L, Newman RB, Mauldin JG, Witter FR, Salman FA, O’Sullivan MJ. Birth weight references for twins. Am J Obstet Gynecol. 2000;182:1250–7.CrossRefPubMed
7.
Zurück zum Zitat Ooki S. Effect of Maternal Age and Fertility Treatment on the Increase in Multiple Births in Japan: Vital Statistics, 1974–2009. J Epidemiol. 2011;21:507–11.CrossRefPubMedPubMedCentral Ooki S. Effect of Maternal Age and Fertility Treatment on the Increase in Multiple Births in Japan: Vital Statistics, 1974–2009. J Epidemiol. 2011;21:507–11.CrossRefPubMedPubMedCentral
8.
Zurück zum Zitat Alexander AM, George K, Muliyil J, Bose A, Prasad JH. Birthweight centile charts from rural community-based data from southern India. Indian Pediatr. 2013;50:1020–4.CrossRefPubMed Alexander AM, George K, Muliyil J, Bose A, Prasad JH. Birthweight centile charts from rural community-based data from southern India. Indian Pediatr. 2013;50:1020–4.CrossRefPubMed
9.
Zurück zum Zitat Kandraju H, Agrawal S, Geetha K, Sujatha L, Subramanian S, Murki S. Gestational age-specific centile charts for anthropometry at birth for South Indian infants. Indian Pediatr. 2012;49:199–202.CrossRefPubMed Kandraju H, Agrawal S, Geetha K, Sujatha L, Subramanian S, Murki S. Gestational age-specific centile charts for anthropometry at birth for South Indian infants. Indian Pediatr. 2012;49:199–202.CrossRefPubMed
10.
Zurück zum Zitat Mathai M, Jacob S, Karthikeyan N. Birthweight standards for south Indian babies. Indian Pediatr. 1996;33:203–10.PubMed Mathai M, Jacob S, Karthikeyan N. Birthweight standards for south Indian babies. Indian Pediatr. 1996;33:203–10.PubMed
11.
Zurück zum Zitat Joseph K, Fahey J, Platt RW, Liston RM, Lee SK, Sauve R, Liu S, Allen AC, Kramer MS. An outcome-based approach for the creation of fetal growth standards: do singletons and twins need separate standards? Am J Epidemiol. 2009;169:616.CrossRefPubMedPubMedCentral Joseph K, Fahey J, Platt RW, Liston RM, Lee SK, Sauve R, Liu S, Allen AC, Kramer MS. An outcome-based approach for the creation of fetal growth standards: do singletons and twins need separate standards? Am J Epidemiol. 2009;169:616.CrossRefPubMedPubMedCentral
12.
Zurück zum Zitat Gielen M, Lindsey PJ, Derom C, Loos RJF, Souren NY, Paulussen ADC, Zeegers MP, Derom R, Vlietinck R, Nijhuis JG: Twin-specific intrauterine “growth” charts based on cross-sectional birthweight data. Twin Res Hum Genet. 2008;11:224–35.CrossRefPubMed Gielen M, Lindsey PJ, Derom C, Loos RJF, Souren NY, Paulussen ADC, Zeegers MP, Derom R, Vlietinck R, Nijhuis JG: Twin-specific intrauterine “growth” charts based on cross-sectional birthweight data. Twin Res Hum Genet. 2008;11:224–35.CrossRefPubMed
13.
Zurück zum Zitat Sankilampi U, Hannila M-L, Saari A, Gissler M, Dunkel L. New population-based references for birth weight, length, and head circumference in singletons and twins from 23 to 43 gestation weeks. Ann Med. 2013;45:446–54.CrossRefPubMed Sankilampi U, Hannila M-L, Saari A, Gissler M, Dunkel L. New population-based references for birth weight, length, and head circumference in singletons and twins from 23 to 43 gestation weeks. Ann Med. 2013;45:446–54.CrossRefPubMed
14.
Zurück zum Zitat Dollberg S, Haklai Z, Mimouni FB, Gorfein I, Gordon E-S. Birth weight standards in the live-born population in Israel. Isr Med Assoc J. 2005;7:311–4.PubMed Dollberg S, Haklai Z, Mimouni FB, Gorfein I, Gordon E-S. Birth weight standards in the live-born population in Israel. Isr Med Assoc J. 2005;7:311–4.PubMed
15.
Zurück zum Zitat Shinwell ES. Birth weight standards: how Israeli singleton and twin fetuses grow. Isr Med Assoc J. 2005;7:338.PubMed Shinwell ES. Birth weight standards: how Israeli singleton and twin fetuses grow. Isr Med Assoc J. 2005;7:338.PubMed
16.
Zurück zum Zitat Baghdadi S, Gee H, Whittle MJ, Khan KS. Twin pregnancy outcome and chorionicity. Acta Obstet Gynecol Scand. 2003;82:18–21.CrossRefPubMed Baghdadi S, Gee H, Whittle MJ, Khan KS. Twin pregnancy outcome and chorionicity. Acta Obstet Gynecol Scand. 2003;82:18–21.CrossRefPubMed
17.
Zurück zum Zitat Sherer DM. Adverse Perinatal Outcome of Twin Pregnancies According to Chorionicity: Review of the Literature. Am J Perinatol. 2001;18:023–38.CrossRef Sherer DM. Adverse Perinatal Outcome of Twin Pregnancies According to Chorionicity: Review of the Literature. Am J Perinatol. 2001;18:023–38.CrossRef
18.
Zurück zum Zitat Ananth CV, Vintzileos AM, Shen-Schwarz S, Smulian JC, Lai YL. Standards of birth weight in twin gestations stratified by placental chorionicity. Obstet Gynecol. 1998;91:917–24.PubMed Ananth CV, Vintzileos AM, Shen-Schwarz S, Smulian JC, Lai YL. Standards of birth weight in twin gestations stratified by placental chorionicity. Obstet Gynecol. 1998;91:917–24.PubMed
19.
Zurück zum Zitat Rigby R, Stasinopoulos D. The GAMLSS project: a flexible approach to statistical modelling. In: New Trends in Statistical Modelling: Proceedings of the 16th International Workshop on Statistical Modelling. 2001. p. 337–45. Rigby R, Stasinopoulos D. The GAMLSS project: a flexible approach to statistical modelling. In: New Trends in Statistical Modelling: Proceedings of the 16th International Workshop on Statistical Modelling. 2001. p. 337–45.
20.
Zurück zum Zitat Stasinopoulos DM, Rigby RA. Generalized additive models for location scale and shape (GAMLSS) in R. J Stat Softw. 2007;23:1–46.CrossRef Stasinopoulos DM, Rigby RA. Generalized additive models for location scale and shape (GAMLSS) in R. J Stat Softw. 2007;23:1–46.CrossRef
Metadaten
Titel
Birth weight centiles by gestational age for twins born in south India
verfasst von
Prasanna Premkumar
Belavendra Antonisamy
Jiji Mathews
Santhosh Benjamin
Annie Regi
Ruby Jose
Anil Kuruvilla
Mathews Mathai
Publikationsdatum
01.12.2016
Verlag
BioMed Central
Erschienen in
BMC Pregnancy and Childbirth / Ausgabe 1/2016
Elektronische ISSN: 1471-2393
DOI
https://doi.org/10.1186/s12884-016-0850-y

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