Scoring model to predict early-onset bacterial sepsis at Dr. Mohammad Hoesin Hospital, Palembang

IF 0.2 Q4 PEDIATRICS
Lilik Fitriana, Afifa Ramadanti, Indrayady Indrayady
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引用次数: 0

Abstract

Background Early-onset bacterial neonatal sepsis (bacterial EONS) is one of the most common causes of death and illness in newborns. Assessment of risk factors is important to identify infants who are more susceptible to bacterial EONS. A scoring model based on maternal and infant risk factors would be useful for predicting bacterial EONS. Objective To develop a scoring model to predict bacterial EONS by examining maternal and neonatal risk factors. Methods This diagnostic test study was conducted at Mohammad Hoesin Hospital, Palembang between January-September 2021 using various maternal and infant risk factors. Subjects were newborns suspected of having early-onset bacterial sepsis with birth weight >1000 grams. The potential risk factors evaluated consisted of premature rupture of membranes >18 hours, greenish-thick-and-foul-smelling amniotic fluid, maternal body temperature >38°C, maternal leukocytosis >15.000/?L, gestational of <37 weeks, birth weight of <2500 grams, and APGAR score of <7 at 1 minute. One hundred sixty-two subjects were selected consecutively. Analyses included odds ratio, logistic regression test, and ROC curve to assess sensitivity and specificity of each risk factor. Results Premature rupture of membranes >18 hours, greenish-thick-and-foul-smelling amniotic fluid, male sex, and gestation of <37 weeks were risk factors for bacterial EONS. In the multivariate analysis, premature rupture of membranes >18 hours had an OR of 5.94 (95%CI 1.69 to 20.86, P=0.005), greenish-thick-and-foul-smelling amniotic fluid had an OR of 3.74(95%CI 1.16 to 12.02, P=0,027), male sex had an OR of 4.28 (95%CI 1.14 to 16.02, P=0.031), and gestation of <37 weeks had an OR of 3.1 (95%CI 0.82 to 11.72, P=0.094). In the scoring model, each of these four risk factors were assigned a score of 2 (for maternal risk factors) and 1 (for neonatal risk factors). Using a cut-off score of 2.5 to predict bacterial EONS, the scoring system had a sensitivity of 80% and specificity of 47%. Conclusion Our scoring model of maternal and infant risk factors can be used to screen for possible bacterial EONS at an earlier stage of illness, although with limited specificity.
评分模型预测早发性细菌性败血症在Dr. Mohammad Hoesin医院,巨港
背景早发型新生儿细菌性脓毒症(bacterial EONS)是新生儿最常见的死亡和疾病原因之一。评估危险因素对于确定更容易感染细菌性EONS的婴儿很重要。基于母婴危险因素的评分模型可用于预测细菌性EONS。目的通过对产妇和新生儿危险因素的分析,建立预测细菌性EONS的评分模型。方法本诊断试验研究于2021年1月至9月在巨港的Mohammad Hoesin医院进行,使用各种母婴危险因素。研究对象为出生体重>1000克、怀疑患有早发性细菌性脓毒症的新生儿。评估的潜在危险因素包括胎膜早破>18小时、羊水呈绿色粘稠且有恶臭、母体体温>38℃、母体白细胞计数>15.000/?L、妊娠18小时、羊水呈绿色粘稠恶臭、男性、妊娠18小时的OR为5.94 (95%CI 1.69 ~ 20.86, P=0.005),羊水呈绿色粘稠恶臭的OR为3.74(95%CI 1.16 ~ 12.02, P= 0.027),男性OR为4.28 (95%CI 1.14 ~ 16.02, P=0.031),妊娠<37周的OR为3.1 (95%CI 0.82 ~ 11.72, P=0.094)。在评分模型中,这四个危险因素中的每一个都被赋予2分(孕产妇危险因素)和1分(新生儿危险因素)。采用2.5分的临界值来预测细菌EONS,评分系统的敏感性为80%,特异性为47%。结论我们的母婴危险因素评分模型可用于筛查疾病早期可能的细菌性EONS,但特异性有限。
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来源期刊
CiteScore
0.40
自引率
0.00%
发文量
58
审稿时长
24 weeks
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