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作 者:何婷 陈旭琳 沈佩婷 He Ting;Chen Xulin;Shen Peiting(Pediatrics Department of Hefei First People's Hospital,Hefei 230041,Anhui)
机构地区:[1]合肥市第一人民医院儿科,安徽合肥230041
出 处:《现代科学仪器》2024年第6期98-101,共4页Modern Scientific Instruments
摘 要:目的:探究NLR、动脉血气分析与早产儿脑损伤情况的相关性。方法:研究选取100例早产儿,依据头颅MRI分为脑损伤(35例)和无脑损伤组(65例)。采用二元Logistic回归及ROC曲线评估NLR、动脉血气指标与脑损伤的相关性。结果:早产、自然分娩、1分钟Apgar评分、动脉血气及NLR水平差异显著(P<0.05)。多因素分析确认自然分娩、低Apgar评分、动脉血异常及高NLR为脑损伤独立风险因子(P<0.05)。ROC分析显示,五项指标联合预测脑损伤AUC为0.859,灵敏度77.10%,特异度87.70%,模型拟合良好。结论:自然分娩、低Apgar评分、动脉血异常(低pH、高PaCO_(2))及高NLR是早产儿脑损伤风险因素。五项指标联合预测价值高。Objective:To explore the correlation between NLR,arterial blood gas analysis,and brain injury in premature infants.Methods:100 premature infants were selected for the study and divided into brain injury group(35 cases)and no brain injury group(65 cases)based on head MRI.Use binary logistic regression and ROC curve to evaluate the correlation between NLR,arterial blood gas indicators,and brain injury.Results:There were significant differences(P<0.05)in premature birth,natural delivery,1-minute Apgar score,arterial blood gas,and NLR levels.Multivariate analysis confirmed that natural childbirth,low Apgar score,arterial blood abnormalities,and high NLR were independent risk factors for brain injury(P<0.05).ROC analysis showed that the combined prediction of five indicators for brain injury AUC was 0.859,with a sensitivity of 77.10%and a specificity of 87.70%.The model fit was good.Conclusion:Natural delivery,low Apgar score,arterial blood abnormalities(low pH,high PaCO_(2)),and high NLR are risk factors for brain injury in premature infants.The joint prediction value of the five indicators is high.
关 键 词:早产儿 脑损伤 中性粒细胞/淋巴细胞 动脉血气分析
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