Respiratory Distress Syndrome (RDS) in Newborns with Hypoxic-Ischemic Encephalopathy (HIE)

医学 呼吸窘迫 儿科 心动过缓 阿普加评分 窒息 脑病 麻醉 怀孕 内科学 出生体重 血压 心率 生物 遗传学
作者
Sanja Ristovska
出处
期刊:Prilozi - Makedonska akademija na naukite i umetnostite. Oddelenie za medicinski nauki [De Gruyter]
卷期号:45 (1): 19-30 被引量:1
标识
DOI:10.2478/prilozi-2024-0003
摘要

Abstract Respiratory distress syndrome (RDS) and hypoxic-ischemic encephalopathy (HIE) are frequent causes of death and disability in neonates. This study included newborns between January 2021 and July 2022 at the University Clinic for Gynecology and Obstetrics, Skopje. Up to date criteria for HIE/RDS for term and for preterm infants as well for the severity of HIE/RDS were used in a comprehensive analysis of cranial ultrasonography, neurological status, neonatal infections, Apgar score, bradycardia and hypotension, X-ray of the lungs, FiO2, acid-base status, assisted ventilation and use of surfactant. Three groups were created: HIE with RDS (42 babies), HIE without RDS (30 babies) and RDS without HIE in 38 neonates. All newborns with severe (third) degree of HIE died. Intracranial bleeding was found in 35.7% in the first group and 30% in the second group, and in the third group in 53.3%. The need for surfactant in the HIE group with RDS is 59.5%, and in the RDS group without HIE 84.2%. DIC associated with sepsis was found in 13.1-50% in those groups. In newborns with HIE and bradycardia, the probability of having RDS was on average 3.2 times higher than in those without bradycardia. The application of the surfactant significantly improved the pH, pO2, pCO2, BE and chest X-ray in children with RDS. An Apgar score less than 6 at the fifth minute increases the risk of RDS by 3 times. The metabolic acidosis in the first 24 hours increases the risk of death by 23.6 times. The combination of HIE/ RDS significantly worsens the disease outcome. The use of scoring systems improved the early detection of high risk babies and initiation of early treatment increased the chances for survival without disabilities.
最长约 10秒,即可获得该文献文件

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
刚刚
FelixChen应助huangduanku采纳,获得10
刚刚
1秒前
小熵完成签到,获得积分20
1秒前
111发布了新的文献求助10
2秒前
3秒前
科研通AI5应助大方的若山采纳,获得10
3秒前
科研通AI5应助一自文又欠采纳,获得10
3秒前
niu完成签到,获得积分20
4秒前
欢呼惜梦发布了新的文献求助10
5秒前
Zhang发布了新的文献求助10
5秒前
5秒前
6秒前
Akim应助又小又胖的小胖采纳,获得10
6秒前
greenxvatit发布了新的文献求助10
6秒前
aqiuyuehe发布了新的文献求助10
6秒前
6秒前
XHY123完成签到,获得积分10
8秒前
vincent完成签到,获得积分10
9秒前
科研通AI5应助Crazy_Runner采纳,获得10
9秒前
香蕉觅云应助犹豫酸奶采纳,获得10
9秒前
传奇3应助tttp采纳,获得10
9秒前
CodeCraft应助Shell采纳,获得10
9秒前
白白完成签到,获得积分10
10秒前
脑洞疼应助小薛采纳,获得10
10秒前
10秒前
wen发布了新的文献求助10
11秒前
kirakira发布了新的文献求助10
11秒前
cctv18应助纸之治治采纳,获得10
11秒前
11秒前
猪猪hero发布了新的文献求助10
11秒前
在云里爱与歌完成签到,获得积分10
12秒前
greenxvatit完成签到,获得积分10
12秒前
柯柯发布了新的文献求助10
12秒前
SYLH应助fz采纳,获得10
13秒前
大个应助111采纳,获得10
13秒前
橙子完成签到 ,获得积分10
14秒前
加油完成签到,获得积分20
15秒前
15秒前
深情安青应助bsc采纳,获得10
15秒前
高分求助中
Algorithmic Mathematics in Machine Learning 500
Advances in Underwater Acoustics, Structural Acoustics, and Computational Methodologies 400
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
Fatigue of Materials and Structures 260
The Monocyte-to-HDL ratio (MHR) as a prognostic and diagnostic biomarker in Acute Ischemic Stroke: A systematic review with meta-analysis (P9-14.010) 240
The Burge and Minnechaduza Clarendonian mammalian faunas of north-central Nebraska 206
An Integrated Solution for Application of Next-Generation Sequencing in Newborn Screening 200
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3832287
求助须知:如何正确求助?哪些是违规求助? 3374698
关于积分的说明 10485946
捐赠科研通 3094442
什么是DOI,文献DOI怎么找? 1703605
邀请新用户注册赠送积分活动 819491
科研通“疑难数据库(出版商)”最低求助积分说明 771587