Padar Chaithra, Rajan Aswathy, Shriyan Ashvij, Oommen Roshan A
Department of Paediatrics, Indira Gandhi Institute of Child Health, Bengaluru, IND.
Department of Pediatrics, A.J. Institute of Medical Sciences, Mangaluru, IND.
Cureus. 2022 Aug 25;14(8):e28414. doi: 10.7759/cureus.28414. eCollection 2022 Aug.
Background Modified Sick Neonatal Score (MSNS) is a modification of the Sick Neonatal Score (SNS) by adding perinatal factors such as birth weight and gestational age to the scoring. A significantly higher sensitivity and specificity were obtained by adding the above parameters to SNS. The parameters in MSNS were simple and easy to score, but the scoring was done only once, and the utility of the score to assess the response to treatment was not analysed. In this study, we aimed to determine the role of MSNS as a prognostic indicator in the neonatal intensive care unit (NICU) and to study the correlation of the change in the MSNS (Delta-MSNS) 24 hours after admission with the outcomes and as a measure of response to treatment. Methodology A cross-sectional study was conducted for six months on all neonates admitted to the NICU during the study period. All babies were scored using MSNS containing eight basic clinical parameters, namely, respiratory rate, heart rate, axillary temperature, peripheral capillary refill time, random blood sugar, oxygen saturation, gestational age, and birth weight. Scoring by MSNS was done on the following two occasions: first score at admission, and second score 24 hours later. A change in the score during the first 24 hours of NICU stay (Delta-MSNS) was analysed for babies with an initial score of less than or equal to 12. All babies were followed up for analysis of outcomes, and outcomes were documented as discharge from the hospital or death. Length of hospital stay was documented for the babies that were discharged. Statistical analysis was done using the software RStudio v1.1.456. Kruskal-Wallis rank sum test was used to compare individual parameters of the score as well as the mean score between the expired and discharged groups. Spearman rank-order correlation coefficient was used to correlate the scores with length of hospital stay. Results A total of 248 neonates were considered for inclusion in the study. The mean score at admission was 7.94 (SD = 1.89) in the expired group and 14.46 (SD = 1.84) in the discharged group. The p-value for each of these was <0.001. Using MSNS as a test variable, a receiver operating characteristic (ROC) curve was generated, and as measured by the area under the curve was 0.98. A cut-off score of 10 was obtained that had a sensitivity of 88.24%, specificity of 95.2%, positive predictive value of 57.69%, and negative predictive value of 99%. A significant negative correlation was observed with a Spearman correlation coefficient of -0.67 when the initial MSNS was correlated with length of hospital stay in patients who were discharged. A significant negative correlation with a coefficient of -0.39 and p-value of 0.017 was determined when delta MSNS score was correlated with the discharged babies who had an initial score of less than 12. Conclusions MSNS is an easy-to-use bedside scoring system that requires minimal training and no invasive procedures. It has shown a high sensitivity in predicting mortality and length of hospital stay. Additionally, calculation of delta score was equally useful. It is a simplified score that enables providers to objectively assess the severity of illness with nominal training both in NICU as well as in low-resource settings.
改良新生儿疾病评分(MSNS)是对新生儿疾病评分(SNS)的改良,通过在评分中加入围产期因素,如出生体重和胎龄。将上述参数添加到SNS后,获得了显著更高的敏感性和特异性。MSNS中的参数简单易评分,但仅进行一次评分,且未分析该评分对评估治疗反应的效用。在本研究中,我们旨在确定MSNS作为新生儿重症监护病房(NICU)预后指标的作用,并研究入院24小时后MSNS的变化(Delta-MSNS)与结局的相关性以及作为治疗反应的衡量指标。方法:对研究期间入住NICU的所有新生儿进行了为期六个月的横断面研究。所有婴儿均使用包含八个基本临床参数的MSNS进行评分,即呼吸频率、心率、腋温、外周毛细血管再充盈时间、随机血糖、血氧饱和度、胎龄和出生体重。MSNS评分在以下两个时间点进行:入院时的首次评分,以及24小时后的第二次评分。对初始评分小于或等于12分的婴儿分析其在NICU住院的前24小时内评分的变化(Delta-MSNS)。对所有婴儿进行随访以分析结局,结局记录为出院或死亡。对出院的婴儿记录住院时间。使用RStudio v1.1.456软件进行统计分析。Kruskal-Wallis秩和检验用于比较评分的各个参数以及死亡组和出院组之间的平均评分。Spearman等级相关系数用于将评分与住院时间相关联。结果:共有248名新生儿被纳入研究。死亡组入院时的平均评分为7.94(标准差=1.89),出院组为14.46(标准差=1.84)。这些的p值均<0.001。以MSNS作为检验变量,生成了受试者工作特征(ROC)曲线,曲线下面积为0.98。获得的截断评分为10分,敏感性为88.24%,特异性为95.2%,阳性预测值为57.69%,阴性预测值为99%。在出院患者中,初始MSNS与住院时间的Spearman相关系数为-0.67,观察到显著的负相关。当Delta MSNS评分与初始评分小于12分的出院婴儿相关时,确定相关系数为-0.39,p值为0.017,存在显著负相关。结论:MSNS是一种易于使用的床旁评分系统,所需培训极少且无需侵入性操作。它在预测死亡率和住院时间方面表现出高敏感性。此外,Delta评分的计算同样有用。它是一个简化的评分,使医疗人员能够在NICU以及资源匮乏的环境中,通过名义培训客观地评估疾病的严重程度。