JOURNAL OF SHANDONG UNIVERSITY (HEALTH SCIENCES) ›› 2016, Vol. 54 ›› Issue (5): 56-61.doi: 10.6040/j.issn.1671-7554.0.2015.986

Previous Articles     Next Articles

Influencing factors of adverse outcomesin term neonates delivered by elective caesarean

HONG Haijie1, SUN Wenjuan1, ZHANG Yuan2, XU Yongping1   

  1. 1. Department of Obstetrics;
    2. Center of Evidence-based Medicine, the Second Hospital of Shandong University, Jinan 250033, Shandong, China
  • Received:2015-10-17 Online:2016-05-16 Published:2016-05-16

Abstract: Objective To analyze the influencing factors of adverse outcomes in neonates delivered at term by elective caesarean. Methods Clinical data of mothers and babies delivered by elective caesarean section during Nov.1, 2011 and Oct.31, 2014 at the Second Hospital of Shandong University were retrospectively reviewed. The neonatal adverse outcomes were analyzed with t-test, chi-square test and logistic regression analysis, including transference to NICU and respiratory diseases. Results A total of 3,290 mothers and their neonates were enrolled, of which 250 neonates needed to be transferred to NICU, and 110 neonates developed a respiratory disease. The factors that caused the neonates to be transferred to NICU were parity, BMI, delivery gestational age and fetal sex. The factors that caused the neonates to develop a respiratory disease were parity, delivery gestational age and fetal sex. The risk of adverse outcomes in neonates whose mothers parity was three times and above was significantly higher. The risk of transference to NICU was lower in neonates delivered by mothers with smaller BMI. The risk of transference to NICU for neonates delivered in 山 东 大 学 学 报 (医 学 版)54卷5期 -洪海洁,等.足月选择性剖宫产分娩新生儿不良结局的影响因素 \=-37+0-6 weeks was 1.9 times than those delivered in 39+0-7 weeks(OR=1.9, 95%CI=1.2-3.0). The risk of respiratory disease for neonates delivered in 37+0-6 weeks and 38+0-6 weeks were respectively 2.5 times and 1.8 times than those delivered in 39+0-7 weeks(OR=2.5, 95%CI=1.4-4.7 and OR=1.8, 95%CI=1.1-2.7). The risk of a respiratory disease and transference to NICU in male neonates were respectively 2.2 times and 1.3 times than in female neonates(OR=2.2, 95%CI=1.4~3.4 and OR=1.3, 95%CI=1.0-1.7). The differences were statistically significant(all P<0.05). Conclusion The best delivery gestational age for elective cesarean section is 39-40 weeks. Cesarean sections conducted shortly after onset of labor do not reduce the risk of neonatal adverse outcomes. The risk of adverse outcomes in male neonates is higher than in female neonates. The risk of neonatal adverse outcomes in mothers with higher BMI, or whose parity is three times and above is increased.

Key words: Term baby, Cesarean section, Elective, Neonatal adverse outcomes, Influencing factors

CLC Number: 

  • R719.8
[1] Souza JP, Gülmezoglu AM, Lumbiganon P, et al. Caesarean section without medical indications is associated with an increased risk of adverse shorter maternal outcomes: the 2004-2008 WHO global survey on maternal and perinatal health [J]. BMC Med, 2010, 8: 71. doi: 10.1186/1741-7015-8-71.
[2] Wilmink FA, Hukkelhoven CW, Lunshof S, et al. Neonatal outcome following elective cesarean section beyond 37 weeks of gestation: a 7-year retrospective analysis of a national registry [J]. Am J Obstet Gynecol, 2010, 202(3): 250.e1-8.
[3] Terada K, Ito M, Kumasaka S, et al. Timing of elective cesarean singleton delivery and neonatal respiratory outcomes at a Japanese perinatal center[J]. J Nippon Med Sch, 2014, 81(4):285-288.
[4] Doan E, Gibbons K, Tudehope D.The timing of elective caesarean deliveries and early neonatal outcomes in singleton infants born 37-41 weeks gestation[J]. Aust N Z J Obstet Gynaecol, 2014, 54(4):340-347.
[5] Glavind J, Uldbjerg N. Elective cesarean delivery at 38 and 39 weeks: neonatal and maternal risks[J]. Curr Opin Obstet Gynecol, 2015, 27(2):121-127.
[6] 郭琦, 李雷, 边旭明. 足月择期剖宫产的时机与新生儿结局的分析[J]. 中华围产医学杂志, 2011, 14(1): 12-18. GUO Qi, LI Lei, BIAN Xuming, et al. Timing of elective cesarean delivery at term and neonatal outcomes[J]. Chin J Perinat Med, 2011, 14(1):12-18.
[7] Morrison JJ, Rennie JM, Milton PJ. Neonatal respiratory morbidity and mode of delivery at term: influence of timing of elective caesarean section[J]. Br J Obstet Gynaecol, 1995, 102(2):101-106.
[8] Zanardo V, Simbi AK, Franzoi M, et al. Neonatal respiratory morbidity risk and mode of delivery at term: influence of timing of elective caesarean delivery[J]. Acta Paediatr, 2004, 93(5):643-647.
[9] Hansen AK, Wisborg K, Uldbjerg N, et al. Risk of respiratory morbidity in term infants delivered by elective cesarean section: cohort study[J]. BMJ, 2008, 336(7635):85-87.
[10] Kolas T, Saugstad OD, Daltveit AK, et al. Planned cesarean versus planned vaginal delivery at term: comparison of newborn infant outcomes[J]. Am J Obstet Gynecol, 2006, 195(6):1538-1543.
[11] Senturk MB, Cakmak Y, Gündogˇdu M, et al. Does performing cesarean section after onset of labor has positive effect on neonatal respiratory disorders?[J]. J Matern Fetal Neonatal Med, 2015, 18: 1-4.[Epub ahead of print].
[12] Glavind J, Kindberg SF, Uldbjerg N, et al. Elective caesarean section at 38 weeks versus 39 weeks: neonatal and maternal outcomes in a randomised controlled trial[J]. BJOG, 2013, 120(9):1123-1132.
[13] Vilchez G, Chelliah A, Argoti P, et al. Maternal race and neonatal outcomes after elective repeat cesarean delivery[J]. J Matern Fetal Neonatal Med, 2014, 27(4):368-371.
[14] Chiossi G, Lai Y, Landon MB, et al. Timing of delivery and adverse outcomes in term singleton repeat cesarean deliveries[J]. Obstet Gynecool, 2013, 121(3):561-569.
[15] Hutcheon JA, Strumpf EC, Harper S, et al. Maternal and neonatal outcomes after implementation of a hospital policy to limit low-risk planned caesarean deliveries before 39 weeks of gestation: an interrupted time-series analysis[J]. BJOG, 2015, 122(9):1200-1206.
[16] Ertugrul S, Gün I, Müngen E, et al. Evaluation of neonatal outcomes in elective repeat cesarean delivery at term according to weeks of gestation [J]. J Obstet Gynaecol Res, 2013, 39(1):105-112.
[17] Mohammed AB, Bayo AI, Abu-Jubara MF. Timing of elective repeated cesarean delivery in patients with previous two or more cesarean section[J]. J Matern Fetal Neonatal Med, 2013, 26(1):10-12.
[18] 刘洪莉, 漆洪波, 罗欣. 择期选择性剖宫产终止妊娠的时机及母儿结局[J]. 中华围产医学杂志, 2014, 17(4):224-229. LIU Hongli, QI Hongbo, LUO Xin, et al. Timing of elective repeat cesarean delivery and maternal and neonatal outcomes[J]. Chin J Perinat Med, 2014, 17(4):224-229.
[19] Melamed N, Hadar E, Keidar L, et al. Timing of planned repeat cesarean delivery after two or more previous cesarean sections-risk for unplanned cesarean delivery and pregnancy outcome[J]. J Matern Fetal Neonatal Med, 2014, 27(5):431-438.
[20] Yee W, Amin H, Wood S. Elective cesarean delivery, neonatal intensive care unit admission, and neonatal respiratory distress[J]. Obestet Gynecol, 2008, 111(4):823-828.
[21] Riskin A, Gonen R, Kugelman A, et al. Does cesarean section before the scheduled date increase the risk of neonatal morbidity?[J]. Isr Med Assoc J, 2014, 16(9):559-563.
[22] Carey MA, Card JW, Voltz JW, et al. The impact of sex and sex hormones on lung physiology and disease: lessons from animal studies[J]. Am J Physiol Lung Cell Mol Physiol, 2007, 293(2):L272-278.
[23] Crane JM, Murphy P, Burrage L, et al. Maternal and perinatal outcomes of extreme obesity in pregnancy[J]. J Obstet Gynaecol Can, 2013, 35(7):606-611.
[1] SONG Yiming, WANG Jiafeng, HAN Xiaojuan, DU Yifeng. Brain maintenance and cognitive function: measurement, influencing factors and mechanism [J]. Journal of Shandong University (Health Sciences), 2026, 64(1): 1-7.
[2] XU Xinying, YAN Wei, SHI Xinglong, YUE Fang, LYU Jing, QIAO Yingyi, ZHANG Yuqi, CHENG Chuanlong, ZUO Hui, LI Xiujun. Epidemiological characteristics and influencing factors of hand, foot and mouth disease in Binzhou City, Shandong Province, China [J]. Journal of Shandong University (Health Sciences), 2026, 64(1): 118-125.
[3] SUN Shuangshuang, ZHANG Shuaijie, ZHANG Botao, YUAN Ying, YU Yuanyuan, XUE Fuzhong. Influencing factors of acute ischemic stroke in population during 18-50 years old: a real-world study analysis [J]. Journal of Shandong University (Health Sciences), 2025, 63(9): 40-46.
[4] WANG Ning, HAO Xiumei, NIU Xiang, HUANG Jinming, XU Jingya. Status and influencing factors of health check-up services utilisation among middle-aged and elderly populations with hyperglycaemia, dyslipidaemia, and hypertension in China [J]. Journal of Shandong University (Health Sciences), 2025, 63(7): 82-91.
[5] ZHANG Yongyuan, WANG Qingliang, LIAN Xuehong. Structural changes and influencing factors of hospitalization expenses for rare diseases patients in a tertiary general hospital in Shandong Province [J]. Journal of Shandong University (Health Sciences), 2025, 63(5): 111-119.
[6] CHEN Yingyi, YOU Qian, WANG Yi, ZHANG Fan, LI Feng, JI Shuming, XU Haoyuan, RAO Zhiyong. Development and validation of a prediction model for muscle mass loss in office workers [J]. Journal of Shandong University (Health Sciences), 2025, 63(4): 26-35.
[7] MU Hongjie, LU Wei, LYU Juncheng. Analysis of the current status for residents depression, anxiety symptoms, mental health literacy and influencing factors of mental health literacy [J]. Journal of Shandong University (Health Sciences), 2025, 63(12): 105-111.
[8] LIU Feng, MA Caixia, LI Chunyan, CHENG Haiying, JIN Leyu, LIU Zhong, LI Xuewen. Incidence and influencing factors of influenza-like illness among college students in Jinan during the influenza peak period in November 2023 [J]. Journal of Shandong University (Health Sciences), 2024, 62(7): 91-97.
[9] JING Rui, ZHANG Wenqian, DONG Hui, DONG Yiran, YU Shengnan, DUAN Yong, YAN Qin, ZHAO Chuanlu, LI Xiujun, WANG Weibing. Current status of tuberculosis prevention and control knowledge, attitude and practice and the influencing factors of behavior among freshmen in colleges and universities in Jinan, Shandong Province [J]. Journal of Shandong University (Health Sciences), 2024, 62(2): 101-107.
[10] FENG Xuqiang, GAO Ping, SUN Chao, TAO Lin,YAN Genquan, LENG Bing. Clinical efficacy and influencing factors of tigecycline in treatment of infectious diseases [J]. Journal of Shandong University (Health Sciences), 2024, 62(12): 11-20.
[11] YU Feiping, LI Xin, SI Mingshu, ZHANG Dan, SU Yonggang. Medical college students knowledge of the integrated elderly care and medical services, and their employment willingness to elderly care [J]. Journal of Shandong University (Health Sciences), 2024, 62(11): 105-114.
[12] LIU Fengqi, GAO Feng, XUE Caicai, QIAO Xiumei, WANG Jinhong. Influencing factors of PC12 cell injury induced by high glucose and the protective effects of catalpol [J]. Journal of Shandong University (Health Sciences), 2023, 61(7): 34-39.
[13] HAN Luyi, TIAN Xueying, GAO Qi, SHE Kaili, CAO Yunxian, WEI Shushu, Ding Shujun, LI Xiujun. MaxEnt modeling to analyze influencing factors of severe fever with thrombocytopenia syndrome and predict the potential distribution in Shandong Province [J]. Journal of Shandong University (Health Sciences), 2023, 61(4): 103-110.
[14] ZHENG Liang, SUN Minghao, SHI Yuan, YU Shengnan, WANG Zhiqiang, LI Xiujun. Spatio-temporal distribution and influencing factors of hantavirus hemorrhagic fever with renal syndrome in Shandong Province, 2011—2019 [J]. Journal of Shandong University (Health Sciences), 2023, 61(11): 104-110.
[15] JIANG Lili, CHEN Peng, XU Xinyang, ZHANG Xiaorong, MENG Qiuyu, QI Dong, YANG Chuanjing, WU Qian. Glove perforation and its influencing factors in 141 cases of subgingival scaling [J]. Journal of Shandong University (Health Sciences), 2023, 61(10): 83-87.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!