Meconium-Stained Amniotic Fluid Across Gestation and Neonatal Acid-Base Status

作者
Yinka Oyelese,Angelina Culin,Cande V. Ananth,Lillian Kaminsky,Anthony M. Vintzileos,John C. Smulian
出处
期刊:Obstetrics & Gynecology [Lippincott Williams & Wilkins]
卷期号:108 (2): 345-349 被引量:51
标识
DOI:10.1097/01.aog.0000226853.85609.8d
摘要

OBJECTIVE: To estimate whether the acid-base status of neonates born to women with meconium-stained amniotic fluid varies across gestation. METHODS: We carried out a retrospective cohort study of all pregnancies that were complicated by meconium-stained amniotic fluid in 2004. Cases were identified from a perinatal pathology database that contained data on all pregnancies complicated by meconium-stained amniotic fluid. Data abstracted from the charts included gestational age at delivery, umbilical arterial pH, birth weight, and the presence or absence of labor. Cases were stratified according to gestational age at delivery. The distribution of meconium-stained amniotic fluid across gestation was computed. The mean umbilical arterial pH values (with 95% confidence intervals) across gestation were assessed by analysis of variance. RESULTS: The mean umbilical arterial pH in women with meconium-stained amniotic fluid did not differ across gestation. The overall incidence of meconium-stained amniotic fluid was 12.0% (766 of 6,403 deliveries). The rates of meconium-stained amniotic fluid increased from 1.2% at 32 weeks to 100% at 42 weeks. CONCLUSION: The rising incidence of meconium-stained amniotic fluid with gestational age is consistent with the hypothesis that fetal maturation is a major etiologic factor in meconium passage. Also, the lack of variation of mean umbilical arterial pH across gestation suggests that fetal acidemia is not increased when meconium passage occurs earlier in pregnancy rather than at later gestational ages.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
科研通AI6.4应助幸运星采纳,获得10
2秒前
zzx发布了新的文献求助10
3秒前
ding应助超级采纳,获得10
4秒前
4秒前
纪不愁发布了新的文献求助10
5秒前
abc发布了新的文献求助10
5秒前
傻傻的芷巧完成签到,获得积分10
5秒前
AuB发布了新的文献求助30
7秒前
9秒前
10秒前
无花果应助hdc12138采纳,获得10
11秒前
个性花瓣完成签到,获得积分10
12秒前
小二郎应助曾金玲采纳,获得10
12秒前
李健的粉丝团团长应助Ivy采纳,获得30
12秒前
汉堡包应助清嘉采纳,获得10
14秒前
研友_ndDGVn完成签到,获得积分10
14秒前
超级发布了新的文献求助10
15秒前
16秒前
完美世界应助淡然的冰薇采纳,获得10
16秒前
英俊的铭应助冷傲元枫采纳,获得10
18秒前
20秒前
QiQi发布了新的文献求助10
21秒前
21秒前
善良的Zoey发布了新的文献求助50
22秒前
22秒前
乐乐应助熬夜修士采纳,获得10
24秒前
毗昙应助二等饼干采纳,获得10
24秒前
蔡宇滔发布了新的文献求助10
25秒前
25秒前
26秒前
26秒前
曼波哈基米完成签到,获得积分10
27秒前
28秒前
圆子发布了新的文献求助10
28秒前
小yang发布了新的文献求助10
31秒前
32秒前
33秒前
cocodu应助随便填填采纳,获得10
35秒前
棱镜完成签到,获得积分20
36秒前
37秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Reducing Compassion Fatigue, Secondary Traumatic Stress and Burnout 600
Comparative Elite Sport Development Systems, Structures and Public Policy 600
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Auslegungsgeschichte 500
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7637984
求助须知:如何正确求助?哪些是违规求助? 9211325
关于积分的说明 19758495
捐赠科研通 7204970
什么是DOI,文献DOI怎么找? 3275767
关于科研通互助平台的介绍 2437385
邀请新用户注册赠送积分活动 2272936