Behera Jyoti R, Behera Gayatri, Sahu Sanjay Kumar
Pediatrics, Kalinga Institute of Medical Sciences, Bhubaneswar, IND.
Pathology, All India Institute of Medical Sciences, Bhubaneswar, IND.
Cureus. 2020 Dec 3;12(12):e11889. doi: 10.7759/cureus.11889.
To study factors that influence the age of discharge of very low birth weight (VLBW) preterm neonates from the Neonatal Intensive Care Unit (NICU).
This cohort study was conducted in the NICU, Department of Pediatrics, Kalinga Institute of Medical Sciences, Bhubaneswar, India, from April 2019 to December 2019.
Neonates whose birth weight was <1500 g and gestation <37 weeks were enrolled. Those having major congenital malformation were excluded.
Age at discharge (in days).
Out of 114 neonates enrolled, 84 neonates completed the study and discharged, 29 neonates died during the study, and one patient left against medical advice. Demographic, antenatal, neonatal factors, and mother's participation in care of the baby were compared with respect to age at discharge in univariate analysis. Those found significant on univariate analysis were subjected to multivariate analysis. In the multivariate analysis model two independent predictors were observed, birth weight and gestation, which were inversely related to age at discharge.
Birth weight and gestation are the two most important factors which significantly influence the age at discharge from hospital of VLBW preterm neonates.
研究影响极低出生体重（VLBW）早产儿从新生儿重症监护病房（NICU）出院年龄的因素。
本队列研究于2019年4月至2019年12月在印度布巴内斯瓦尔市卡林加医学科学研究所儿科学系的新生儿重症监护病房进行。
纳入出生体重<1500g且孕周<37周的新生儿。排除有严重先天性畸形的新生儿。
出院年龄（以天为单位）。
在纳入的114例新生儿中，84例完成研究并出院，29例在研究期间死亡，1例患者自行出院。在单因素分析中，对人口统计学、产前、新生儿因素以及母亲对婴儿护理的参与情况与出院年龄进行了比较。在单因素分析中发现有显著意义的因素进行多因素分析。在多因素分析模型中观察到两个独立的预测因素，即出生体重和孕周，它们与出院年龄呈负相关。
出生体重和孕周是显著影响极低出生体重早产儿出院年龄的两个最重要因素。
