Reddy Prakash, Gowda Beere, R Abhinay
Pediatrics, Sri Devaraj Urs Medical College, Kolar, IND.
Cureus. 2023 May 3;15(5):e38484. doi: 10.7759/cureus.38484. eCollection 2023 May.
India is a major contributor to neonatal deaths worldwide. There is a paucity of amenities for the management of neonatal health issues in rural areas of our country. Hence, there is a need to invent a reliable scoring system for the analysis of neonatal mortality.
The aim of the study is to evaluate the Modified Sick Neonatal Score (MSNS) as a predictor of mortality in neonatal care units in resource-limited settings.
This cross-sectional observational study was performed in the intensive care unit of our hospital. All the data were collected and analyzed using IBM Corp.'s Statistical Package for Social Sciences (SPSS) software.
Overall, 71 participants were considered for the present study. The common clinical diagnoses noticed in our participants were meconium aspiration, malformation, and jaundice. The MSNS score compared between expired and discharged participants is found to be statistically significant with p<0.05.
The MSNS scoring system is considered an ideal scoring system for detecting early mortality in neonates.
印度是全球新生儿死亡的主要贡献国。我国农村地区在新生儿健康问题管理方面的设施匮乏。因此,需要发明一种可靠的评分系统来分析新生儿死亡率。
本研究的目的是评估改良新生儿疾病评分(MSNS)作为资源有限环境下新生儿重症监护病房死亡率预测指标的情况。
本横断面观察性研究在我院重症监护病房进行。所有数据均使用IBM公司的社会科学统计软件包(SPSS)进行收集和分析。
总体而言,本研究纳入了71名参与者。在我们的参与者中观察到的常见临床诊断为胎粪吸入、畸形和黄疸。发现死亡和出院参与者之间的MSNS评分具有统计学意义,p<0.05。
MSNS评分系统被认为是检测新生儿早期死亡率的理想评分系统。