Abstract
Background
Most studies have revealed that the incidence of morbidity and mortality of preterm male infants is greater than that of preterm female infants. Recently, conflicting outcomes have been reported regarding mixed-gender twins. The aim of this study was to estimate the association between gender and outcome in newborn twins of different gender.
Methods
We conducted a retrospective review of mixed-gender twins weighing < 1500 g that were born at Shamir Medical Center (Assaf Harofeh) between the years 1995 and 2016 (158 newborns). The incidence of morbidity and mortality until discharge from the hospital were evaluated while looking at gender differences.
Results
No significant differences were found in neonatal mortality or morbidity between females and males from different-gender twins. Even after considering confounding variables (gestational age, birth weight & birth order) in linear and logistic regression models, no significant differences were found between the genders.
Conclusions
Our study suggests that there are no significant differences in neonatal mortality or morbidity among different-gender twins. Our results support the need for further studies.
Keywords: Twins, Gender, Very low birth weight, Neonatal morbidity, Neonatal mortality
Background
Prematurity and low birth weight is a major risk factor for neonatal morbidity and mortality [1]. Premature birth is more common among male infants than female infants [2], and among twins, there is a higher incidence of premature births of male-male premature twins than female-female or female-male twins [3, 4]. Furthermore, mortality rates and short-term morbidity are higher among male premature infants than females [5–9].
Studies revealed that the prognosis of males who are part of a male-male pair relative to a female-female pair is less favorable [10–12]. This difference is particularly prominent mainly in regard to respiratory morbidity, especially respiratory distress syndrome (RDS) [11, 13]. Shinwell et al. [10] showed that male/male twins were at increased risk for death, RDS, pneumothorax, bronchopulmonary dysplasia (BPD), periventricular hemorrhage (PVH) and periventricular leukomalacia (PVL) [10].
Recently two studies were published on comparisons between males and females in cases of mixed gender twins. Zhao et al. [14] showed that males had an increased risk of mortality, lower Apgar score and higher incidence of RDS. However, Ahrenfeldt et al. [12] presented conflicting results, with no differences in mortality rates between males and females [12].
Due to the conflicting data, we conducted a study based on our population. Since very low birth weight premature neonates are the most vulnerable [15], we chose to examine this population subgroup in order to better reflect the gender differences regarding the outcome.
Methods
We conducted a retrospective review of all the premature mixed gender twins that were born at Shamir Medical Center (Assaf Harofeh) between the years 1995 and 2016 (158 newborns). Inclusion criteria: birth weight of less than 1500 g. Exclusion criteria: twins who were born dead and babies with severe structural and/or chromosomal abnormalities. Details of the perinatal and post-natal course until the discharge date or death were recorded. Medical data in regard to morbidity and mortality was collected. A comparative evaluation was done between the male and female groups. The study was approved by the Institutional Ethics Committee at Shamir Medical Center (Assaf Harofeh) (Ref: 0073–17-ASF).
In each group, complications of prematurity and post-neonatal complications were examined until discharge from the neonatal intensive care unit. The data includes: delivery room information (birth weight, birth weight adjustment for gestational age, Apgar scores, neonatal status of the newborn, umbilical cord pH, resuscitation in the delivery room); and Neonatal Intensive Care Unit information [early and late sepsis, period of oxygen enrichment required, surfactant use, length of mechanical ventilation, length of hospitalization stay (LOS), RDS, necrotizing enterocolitis (NEC), periventricular leukomalacia (PVL), periventricular/intraventricular hemorrhage (PVH/IVH), bronchopulmonary dysplasia (BPD), retinopathy of prematurity (ROP) and mortality].
Since the comparison was made between the twins, it was possible to overcome confounding factors related to genetics, exposures during pregnancy and birth, and social and demographic factors.
Clarifications
Weight Z score was presented by Fenton growth charts. PH levels refer to the umbilical cord blood pH levels. The need for resuscitation refers to the need for resuscitation in the delivery room. Invasive ventilation refers to mechanical ventilation via an endotracheal tube. Noninvasive ventilation refers to continuous positive airway pressure (CPAP) induced through a mask. Early/late onset of sepsis refers to sepsis presenting before/after the first 72 h of life. Outcome score is a calculated score between 0 and 6 and based on six parameters (mortality, BPD, NEC, ROP stages 2–4, PVH/IVH grades 3–4, PVL) with a weighted value of 0–1 [16].
Statistical analysis
Categorical variables were described using frequency and percentage, and sequential variables were described using mean and standard deviation. Continuous variables were calculated using a t-test. The difference between the two groups dependent on categorical variables was performed using the McNemar’s test. The difference between the two groups dependent on ordinal variables was performed using the Wilcoxon test. For dichotomous variables, data was analyzed using mixed model logistic regression, which took into account the dependence between twins in order to predict the probability of mortality and complications. For sequential variables, data were analyzed using mixed linear models that took into account the dependence of the twins, and the explanatory variables were the subjects’ sex, the birth week, the Z score of the twin weights, and birth order. Data analysis was performed with the statistical software IBM SPSS statistics 24. The value of P < 0.05 was considered as statistically significant.
Results
Data on 162 premature mixed gender twins was collected, from them 2 twin pairs were excluded, due to death at birth and chromosomal abnormalities. There were 158 twins included in the final study, divided into 2 equal groups (males and females). The characteristics of the participants are illustrated in Table 1. Among 77 pairs out of the total number of 79 pairs, the delivery method was the same, whereas in 2 pairs the delivery method was different (cesarean versus vaginal delivery). Regarding the birth weight, 87.3% of males and 82.3% of females were in the appropriate for gestational age group while 12.7% of males and 17.7% of females were in the small for gestational age group. In order to take into account the week of birth and the newborn’s gender with respect to weight, Z scores were calculated for neonatal weights using Fenton growth charts.
Table 1.
Characteristics of the participants
| Characteristics | Male (N = 79) | Female (N = 79) | p-value | ||
|---|---|---|---|---|---|
| Mean | SD | Mean | SD | ||
| Birth weight (grams) | 1141.1 | 284.6 | 1076.8 | 275.8 | 0.015 |
| Weight Z score | −0.195 | 0.825 | −0.144 | 0.864 | 0.571 |
| Apgar 1 min | 7.4 | 2.1 | 7.3 | 2.1 | 0.702 |
| Apgar 5 min | 8.7 | 1.7 | 8.8 | 1.6 | 0.712 |
| PH | 7.17 | 0.98 | 7.3 | 0.7 | 0.311 |
| N (total = 79) | % | N (total = 79) | % | ||
| Vaginal delivery | 12 | 15.2 | 14 | 17.7 | 0.500a |
| Cesarean delivery | 67 | 84.8 | 65 | 82.3 | |
| First born | 44 | 55.7 | 35 | 44.3 | 0.368 |
| SGA | 10 | 12.7 | 14 | 17.7 | 0.503b |
| AGA | 69 | 87.3 | 65 | 82.3 | |
| LGA | 0 | 0 | 0 | 0 | |
| Resuscitation | 51 | 64.6 | 65 | 70.9 | 0.267 |
Weight Z score is according to Fenton growth charts. PH refers to levels in the umbilical cord. Birth weight is in grams corrected for gestational age. Resuscitation refers to neonatal resuscitation in the delivery room. aRefers to mode of delivery (vaginal and cesarean together). bRefers to SGA, AGA and LGA together. AGA appropriate for gestational age, LGA large for gestational age, SD standard deviation, SGA small for gestational age
Table 2 describes the prognostic variables of neonates. No statistical significance was found between the groups.
Table 2.
Outcomes: Comparison between the Groups
| Characteristics | Male | Female | p-value | ||
|---|---|---|---|---|---|
| Mean (days) | SD | Mean (days) | SD | ||
| LOS | 57.3 | 34.3 | 54.1 | 30.3 | 0.428 |
| Total ventilation | 18.9 | 26.5 | 15.9 | 21.9 | 0.246 |
| Invasive ventilation | 9.7 | 18.7 | 8.6 | 16 | 0.578 |
| O2 enrichment | 25.6 | 31.3 | 23.8 | 27.3 | 0.585 |
| Total | N (%) | Total | N (%) | p value | |
| SRT | 79 | 43 (54.4) | 79 | 43 (54.4) | 1.000 |
| RDS | 78 | 52 (66.7) | 78 | 52 (66.7) | 1.000 |
| BPD | 78 | 17 (21.8) | 78 | 15 (19.2) | 0.744 |
| NEC | 78 | 2 (2.6) | 78 | 1 (1.3) | 0.344 |
| ROP | 69 | 13 (18.8) | 66 | 9 (13.6) | 0.625 |
| PVH/IVH | 73 | 5 (6.8) | 72 | 5 (6.9) | 1.000 |
| PVL | 58 | 2 (3.4) | 60 | 3 (5) | 1.000 |
| Early onset sepsis | 78 | 3 (3.8) | 78 | 0 (0) | 0.250 |
| Late onset sepsis | 75 | 4 (5.3) | 74 | 7 (9.5) | 0.344 |
| Mortality | 79 | 9 (11.4) | 79 | 11 (13.9) | 0.727 |
| Mean | SD | Mean | SD | p value | |
| Outcome score | 0.6 | 0.8 | 0.5 | 0.8 | 0.394 |
Total ventilation (days) includes nasal CPAP and invasive ventilation. Early onset sepsis refers to sepsis presenting in the first 72 h of life. Late onset sepsis refers to sepsis presenting after 72 h of life. Outcome score is a calculated score between 0 and 6, based on six parameters (mortality, BPD, NEC, ROP stages 2–4, PVH/IVH grades 3–4, PVL) with a weighted value of 0–1. BPD bronchopulmonary dysplasia, CPAP continuous positive airway pressure, LOS length of stay (hospitalization days), NEC – necrotizing enterocolitis, PVH/IVH periventricular/intraventricular hemorrhage grade 3–4, PVL periventricular leukomalacia, RDS respiratory distress syndrome, ROP retinopathy of prematurity stages 2–4, SD standard deviation, SRT surfactant replacement therapy
Multivariate analysis, using a mixed regression model, took into account the dependence between the twins in order to predict the risk of death and complications such as RDS, BPD, ROP, PVH/IVH, NEC, and PVL. The explanatory variables were the gender of the subjects, gestational age, the Z score of the twin weights, and the birth order. A significant association was found between the Z scores of birth weight and ROP; for each unit increase in Z score there was a 0.425 reduction in risk for ROP (P < 0.015, CI 0.214–0.845). No significant relationship was found between the newborn’s gender and the specific complications.
In addition, an analysis was performed for continuous variables using mixed linear models, which took into account the dependence of the twins in order to predict the number of days of hospitalization, number of days of oxygen supplement, number of days of ventilator support, number of days of intrusive ventilator support, Apgar score after 5 min and pH in the umbilical cord. The explanatory variables included in the model were the subjects’ sex, the birth week, Z score of the twin weights and the order of birth. No significant relationships were found between the gender of the newborn and the specific variables. A significant correlation was found between the gestational age and all the variables examined, except for pH in the umbilical cord. For each additional week of pregnancy there was a decrease in the number of hospitalization days, ventilator support (invasive and non-invasive) and length of oxygen supplement treatment (Table 3). In a mixed model logistic regression the main outcomes were associated with lower gestational age. The only other association was found between lower birth weight and NEC (Table 4).
Table 3.
Linear Mixed Model – Clinical Characteristics and Outcome
| Variable | Male | Female | p-value |
|---|---|---|---|
| LOS (days) | Gender | 3.31 | 0.421 |
| GA | −5.16 | 0.000 | |
| Z score | −6.12 | 0.079 | |
| Order | 2.08 | 0.616 | |
| O2 enrichment | Gender | 2.08 | 0.536 |
| GA | −6.01 | 0.000 | |
| Z score | −1.76 | 0.529 | |
| Order | 3.10 | 0.364 | |
| Invasive ventilation (days) | Gender | 2.67 | 0.224 |
| GA | −5.03 | 0.000 | |
| Z score | −0.21 | 0.928 | |
| Order | 1.84 | 0.498 | |
| Total ventilation (days) | Gender | 1.22 | 0.531 |
| GA | −3.37 | 0.000 | |
| Z score | −1.05 | 0.518 | |
| Order | 1.80 | 0.363 | |
| Apgar 1 min | Gender | 0.06 | 0.756 |
| GA | 0.49 | 0.000 | |
| Z score | 0.10 | 0.600 | |
| Order | −0.26 | 0.197 | |
| Apgar 5 min | Gender | −0.03 | 0.746 |
| GA | 0.34 | 0.000 | |
| Z score | 0.21 | 0.080 | |
| Order | −0.08 | 0.455 | |
| PH | Gender | −0.17 | 0.204 |
| GA | 0.04 | 0.218 | |
| Z score | −0.10 | 0.257 | |
| Order | −0.20 | 0.13 |
Estimate – the amount of change in the dependent variable for each increase of one unit in the independent variable. Estimate regarding gender – male versus female. Estimate regarding order – first born versus second born. Total ventilation (days) includes nasal CPAP and invasive ventilation. PH refers to levels in the umbilical cord
CPAP continuous positive airway pressure, GA gestational age, LOS length of stay (hospitalization days)
Table 4.
Association between Variables and Outcomesa
| 95% Confidence Interval of the Difference | |||||
|---|---|---|---|---|---|
| Variable | Parameter | Significance | Exp (Coefficient) | Lower | Upper |
| Mortality | Gender | 0.630 | 0.721 | 0.188 | 2.757 |
| GA | 0.020 | 0.478 | 0.257 | 0.887 | |
| Weight | 0.507 | 0.998 | 0.993 | 1.003 | |
| Order | 0.965 | 1.030 | 0.269 | 3.941 | |
| RDS | Gender | 0.819 | 0.935 | 0.526 | 1.663 |
| GA | 0.000 | 0.510 | 0.376 | 0.692 | |
| Weight | 0.284 | 1.001 | 0.999 | 1.003 | |
| Order | 0.858 | 0.949 | 0.534 | 1.687 | |
| BPD | Gender | 0.364 | 1.329 | 0.717 | 2.465 |
| GA | 0.105 | 0.799 | 0.609 | 1.048 | |
| Weight | 0.059 | 0.998 | 0.996 | 1.000 | |
| Order | 0.784 | 1.090 | 0.587 | 2.024 | |
| NEC | Gender | 0.178 | 3.566 | 0.558 | 22.790 |
| GA | 0.283 | 1.240 | 0.836 | 1.839 | |
| Weight | 0.003 | 0.992 | 0.988 | 0.997 | |
| Order | 0.912 | 1.117 | 0.157 | 7.939 | |
| ROP | Gender | 0.194 | 1.582 | 0.789 | 3.171 |
| GA | 0.000 | 0.364 | 0.211 | 0.600 | |
| Weight | 0.101 | 0.997 | 0.995 | 1.000 | |
| Order | 0.707 | 0.873 | 0.430 | 1.776 | |
| PVH/IVH | Gender | 1.000 | 1.000 | 0.207 | 4.838 |
| GA | 0.474 | 0.474 | 0.205 | 1.096 | |
| Weight | 1.000 | 1.000 | 0.994 | 1.007 | |
| Order | 1.670 | 1.670 | 0.352 | 7.920 | |
| PVL | Gender | 0.632 | 0.635 | 0.098 | 4.125 |
| GA | 0.732 | 0.895 | 0.471 | 1.700 | |
| Weight | 0.762 | 0.999 | 0.994 | 1.004 | |
| Order | 0.550 | 1.764 | 0.270 | 11.513 | |
| Resuscitation in delivery room | Gender | 0.165 | 0.709 | 0.436 | 1.153 |
| GA | 0.007 | 0.614 | 0.431 | 0.875 | |
| Weight | 0.736 | 1.000 | 0.998 | 1.001 | |
| Order | 0.960 | 1.012 | 0.626 | 1.637 | |
aAnalyzed by a mixed model for logistic regression
Boldface- P value <0.05, considered significant
BPD bronchopulmonary dysplasia, NEC necrotizing enterocolitis, PVH/IVH periventricular/intraventricular hemorrhage grade 3–4, PVL periventricular leukomalacia, RDS respiratory distress syndrome, ROP retinopathy of prematurity stages 2–4, RDS respiratory distress syndrome, GA gestational age
Discussion
Our study suggests that there are no significant differences in neonatal and post neonatal mortality and morbidity among different gender preterm twins with birth weight less than 1500 g. Birth weight was found to be significantly higher in males; however, in the calculation of Z score for weight depending on gender and gestational week at birth, there was no significant difference between males and females. In the logistic regression model, a significant association was found between the Z score of the weight and ROP. For each increase in standard deviation in the Z score, the odds of ROP decreased. In addition, a significant correlation was found between the week of birth and most of the prognosis variables examined (including mortality, RDS, BPD, ROP, LOS, length of mechanical ventilation and oxygen supplement duration); with each additional gestational week at birth reducing the risk of the detailed prognosis variables and increasing the Apgar score at 1 and 5 min.
Zhao et al. [14] reported that males had an increased risk of mortality, lower Apgar score and higher incidence of RDS. Their data and review of the literature did not reveal the exact mechanism for this phenomenon, and the exact process that affects the gender related difference in morbidity and mortality is still unknown. Zhao et al. studied a large number of neonates from all ranges of birth weight and gestational age. We chose only very low birth weight neonates since this population is the most vulnerable and sensitive in term of morbidity and mortality [15]. From our point of view, this highly sensitive population may reflect better the differences between genders. Regarding RDS, it has been suggested that several gender related factors and hormones have a role in lung development and surfactant production during the intrauterine period [17, 18]. In terms of neurological morbidity, Nuñez et al. [19] discussed the possibility that estradiol, whose values are high in early embryonic development in males, increases the vulnerability of males to neurological disease. Higher cerebral blood flow in male infants was suggested as an optional cause for the difference in this morbidity, as well [20]. Females who were exposed to fetal distress were found to have higher catecholamines in their umbilical cord compare with males. This phenomenon may be indicative of more effective coping by females with fetal distress [21]. In addition, it was suggested that androgens play a role in immunosuppression and hence males are more susceptible to morbidity [22].
Similar to our study, a recent study found no differences in mortality rates between males and females in cases of mixed gender twins [12]. It was suggested that the difference in morbidity and mortality between premature male-male twins and premature female-female twins represents a male disadvantage as opposed to a female advantage and that this disadvantage may be transferred from males to females in unlike-sex twin pairs, perhaps via an intrauterine paracrine effect [10]. Melamed et al. [4] noted that females who are part of a pair of male-female twins had respiratory and neurological complication rates similar to males and higher than that of females who are part of a pair of female-female twins. This finding was also concluded by Steen et al. [11].
Birth order was also studied as a variable. Armson et al. [23] studied the relationship between birth order and neonatal complications among newborns of different gestational ages including <34 weeks of gestational age, a group corresponding to the population in our study. It was found that a second-born, regardless of gender and birth weight, was at increased risk of neonatal complications. In the study of Armson et al. the second twins were less likely to suffer excess morbidity with elective cesarean. This may partially explain the results of our study, since the majority (> 80%) of the newborns were delivered by cesarean section. It should be noted that among twins of different sexes, when the second child was male, more neonatal complications were observed, and when the second twin was female, a similar trend was observed without statistical significance. In a sub-analysis of neonatal complications, among infants born at 34 weeks of gestational age, the second twin had an increased risk of RDS relative to the first twin. Furthermore, it was found that among twins in whom only one had a defined neonatal complication, the risk of second-born complications of intubation, low Apgar scores, mechanical ventilation and RDS was increased relative to the first twin. In addition, the risk of mortality was increased in the second twin when the birth weight was less than 1500 g (similar characteristics to our study population). It should be noted that in this study, as in the current study, the overall analysis revealed no significant differences between the first and second born infants [24].
One of the findings in our study was the inverse association between the week of gestational age at birth and neonatal and postnatal complications among twins of opposite gender. The higher the gestational week at birth, the lower the chance of death and complications, regardless of gender. Similar findings on the relationship between the week of birth and neonatal complications were discussed in a previous study [25]. In our study, a logistic regression model revealed the association between early birth gestational week and low weight Z score as independent risk factors for ROP. This finding is consistent with the study of Lundgren el al [26]., which indicated a similar association among newborns in relation to the gestational week of birth.
The limitations of our study are the retrospective nature and the low number of participants. However, it presents our experience among preterm mixed gender twins and reinforces the assumption of no gender differences in the outcome, when comparing between mixed gender twins.
Conclusion
Our study suggests that there are no significant differences in neonatal and post neonatal mortality and morbidity among different gender twins with very low birth weight. Our results support the need for further studies.
Acknowledgements
Not applicable.
Abbreviations
- AGA
appropriate for gestational age
- BPD
bronchopulmonary dysplasia
- CPAP
continuous positive airway pressure
- GA
gestational age
- IVH
intraventricular hemorrhage
- LGA
large for gestational age
- LOS
length of stay (hospitalization days)
- NEC
necrotizing enterocolitis
- PVH
periventricular hemorrhage
- PVL
periventricular leukomalacia
- RDS
respiratory distress syndrome
- ROP
retinopathy of prematurity
- SD
standard deviation
- SGA
small for gestational age
- SRT
surfactant replacement therapy
Authors’ contributions
BB contributed to conception and design of the study, acquisition of data, and drafting the manuscript. NS contributed to acquisition of data, and drafting the manuscript. HB contributed to analysis and interpretation of data and critical revision of the manuscript for important intellectual content. IA contributed to acquisition of data, drafting the manuscript, and critical revision of the manuscript for important intellectual content. All the authors read and approved the final version of the manuscript.
Funding
No funding was received for this study.
Availability of data and materials
The datasets used and/analyzed during the current study are available from the corresponding author on reasonable request.
Ethics approval and consent to participate
The study was approved by the Institutional Ethics Committee at Shamir Medical Center (Assaf Harofeh) (Ref: 0073–17-ASF). Given the retrospective nature of the study a waiver of informed consent was received from The Ethics Committee.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Footnotes
This study was in partial fulfillment of the requirements for Nina Shirman’s MD degree.
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Bernard Barzilay, Email: barzilay@shamir.gov.il.
Nina Shirman, Email: ninashirman@gmail.com.
Haim Bibi, Email: bibih@shamir.gov.il.
Ibrahim Abu-Kishk, Phone: +972-8-9779104, Email: ibrahima@shamir.gov.il.
References
- 1.Mathews TJ, MacDorman MF. Infant mortality statistics from the 2005 period linked birth/infant death data set. Natl Vital Stat Rep. 2008;57:1–32. [PubMed] [Google Scholar]
- 2.Zeitlin J, Saurel-Cubizolles MJ, De Mouzon J, Rivera L, Ancel PY, Blondel B, Kaminski M. Fetal sex and preterm birth: are males at greater risk? Hum Reprod. 2002;17(10):2762–2768. doi: 10.1093/humrep/17.10.2762. [DOI] [PubMed] [Google Scholar]
- 3.Tan H, Wen SW, Walker M, Fung KF, Demissie K, Rhoads GG. The association between fetal sex and preterm birth in twin pregnancies. Obstet Gynecol. 2004;103(2):327–332. doi: 10.1097/01.AOG.0000109427.85586.71. [DOI] [PubMed] [Google Scholar]
- 4.Melamed N, Yogev Y, Glezerman M. Effect of fetal sex on pregnancy outcome in twin pregnancies. Obstet Gynecol. 2009;114(5):1085–1092. doi: 10.1097/AOG.0b013e3181bd8874. [DOI] [PubMed] [Google Scholar]
- 5.Stevenson DK, Verter J, Fanaroff AA, Oh W, Ehrenkranz RA, Shankaran S, Donovan EF, Wright LL, Lemons JA, Tyson JE, Korones SB, Bauer CR, Stoll BJ, Papile LA. Sex differences in outcomes of very low birthweight infants: the newborn male disadvantage. Arch Dis Child. 2000;83(3):F182–F185. doi: 10.1136/fn.83.3.F182. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Hoffman EL, Bennett FC. Birth weight less than 800 grams: changing outcomes and influences of gender and gestation number. Pediatrics. 1990;86(1):27–34. [PubMed] [Google Scholar]
- 7.Elsmén E, Hansen Pupp I, Hellström-Westas L. Preterm male infants need more initial respiratory and circulatory support than female infants. Acta Paediatr. 2004;93(4):529–533. doi: 10.1080/08035250410024998. [DOI] [PubMed] [Google Scholar]
- 8.Brothwood M, Wolke D, Gamsu H, Benson J, Cooper D. Prognosis of the very low birthweight baby in relation to gender. Arch Dis Child. 1986;61(6):559–564. doi: 10.1136/adc.61.6.559. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Peacock JL, Marston L, Marlow N, Calvert SA, Greenough A. Neonatal and infant outcome in boys and girls born very prematurely. Pediatr Res. 2012;71(3):305–310. doi: 10.1038/pr.2011.50. [DOI] [PubMed] [Google Scholar]
- 10.Shinwell ES, Reichman B, Lerner-Geva L, Boyko V, Blickstein I. ‘Masculinizing’ effect on respiratory morbidity in girls from unlike-sex preterm twins: a possible transchorionic paracrine effect. Pediatrics. 2007;120:e447–e453. doi: 10.1542/peds.2006-3574. [DOI] [PubMed] [Google Scholar]
- 11.Steen EE, Källén K, Maršál K, Norman M, Hellström-Westas L. Impact of sex on perinatal mortality and morbidity in twins. J Perinat Med. 2014;42(2):225–231. doi: 10.1515/jpm-2013-0147. [DOI] [PubMed] [Google Scholar]
- 12.Ahrenfeldt LJ, Larsen LA, Lindahl-Jacobsen R, Skytthe A, Hjelmborg J, Möller S, Christensen K. Early-life mortality risks in opposite-sex and same-sex twins: a Danish cohort study of the twin testosterone transfer hypothesis. Ann Epidemiol. 2017;27(2):115–120. doi: 10.1016/j.annepidem.2016.11.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Mulla ZD, Plavsic SK, Ortiz M, Nuwayhid BS, Ananth CV. Fetal sex pairing and adverse perinatal outcomes in twin gestations. Ann Epidemiol. 2013;23:7–12. doi: 10.1016/j.annepidem.2012.10.003. [DOI] [PubMed] [Google Scholar]
- 14.Zhao D, Zou L, Lei X, Zhang Y. Gender differences in infant mortality and neonatal morbidity in mixed-gender twins. Sci Rep. 2017;7(1):8736. doi: 10.1038/s41598-017-08951-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Horbar JD, Carpenter JH, Badger GJ, Kenny MJ, Soll RF, Morrow KA, Buzas JS. Mortality and neonatal morbidity among infants 501 to 1500 grams from 2000 to 2009. Pediatrics. 2012;129(6):1019–1026. doi: 10.1542/peds.2011-3028. [DOI] [PubMed] [Google Scholar]
- 16.Dorling JS, Field DJ, Manktelow B. Neonatal disease severity scoring systems. Arch Dis Child Fetal Neonatal Ed. 2005;90(1):F11–F16. doi: 10.1136/adc.2003.048488. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Catlin EA, Powell SM, Manganaro TF, Hudson PL, Ragin RC, Epstein J, Donahoe PK. Sex-specific fetal lung development and mullerian inhibiting substance. Am Rev Respir Dis. 1990;141:466–470. doi: 10.1164/ajrccm/141.2.466. [DOI] [PubMed] [Google Scholar]
- 18.McMillan EM, King GM, Adamson IY. Sex hormones influence growth and surfactant production in fetal lung explants. Exp Lung Res. 1989;15:167–179. doi: 10.3109/01902148909087851. [DOI] [PubMed] [Google Scholar]
- 19.Nuñez JL, McCarthy MM. Sex differences and hormonal effects in a model of preterm infant brain injury. Ann N Y Acad Sci. 2003;1008(1):281–284. doi: 10.1196/annals.1301.032. [DOI] [PubMed] [Google Scholar]
- 20.Baenziger O, Jaggi JL, Mueller AC, Morales CG, Lipp HP, Lipp AE, Duc G, Bucher HU. Cerebral blood flow in preterm infants affected by sex, mechanical ventilation, and intrauterine growth. Pediatr Neurol. 1994;11(4):319–324. doi: 10.1016/0887-8994(94)90009-4. [DOI] [PubMed] [Google Scholar]
- 21.Greenough A, Lagercrantz H, Pool J, Dahlin I. Plasma catecholamine levels in preterm infants. Acta Paediatr Scand. 1987;76(1):54–59. doi: 10.1111/j.1651-2227.1987.tb10414.x. [DOI] [PubMed] [Google Scholar]
- 22.Trigunaite A, Dimo J, Jørgensen TN. Suppressive effects of androgens on the immune system. Cell Immunol. 2015;294(2):87–94. doi: 10.1016/j.cellimm.2015.02.004. [DOI] [PubMed] [Google Scholar]
- 23.Armson BA, O'Connell C, Persad V, Joseph KS, Young DC, Baskett TF. Determinants of perinatal mortality and serious neonatal morbidity in the second twin. Obstet Gynecol. 2006;108:556–564. doi: 10.1097/01.AOG.0000227747.37184.0a. [DOI] [PubMed] [Google Scholar]
- 24.Usta IM, Nassar AH, Awwad JT, Nakad TI, Khalil AM, Karm KS. Comparison of the perinatal morbidity and mortality of the presenting twin and its co-twin. J Perinatol. 2002;22:391–396. doi: 10.1038/sj.jp.7210752. [DOI] [PubMed] [Google Scholar]
- 25.Hartley RS, Hitti J. Birth order and delivery interval: analysis of twin pair perinatal outcomes. J Matern Fetal Neonatal Med. 2005;17:375–380. doi: 10.1080/147670505000132484. [DOI] [PubMed] [Google Scholar]
- 26.Lundgren P, Kistner A, Andersson EM, Pupp IH, Holmström G, Ley D, Löfqvist C. Low birth weight is a risk factor for severe retinopathy of prematurity depending on gestational age. PLoS One. 2014;9(10):e109460. doi: 10.1371/journal.pone.0109460. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The datasets used and/analyzed during the current study are available from the corresponding author on reasonable request.
