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Analysis of Related Factors Affecting the Risk Assessment of Death during Hospitalization of Extremely Low Birth Weight Infants / 中山大学学报(医学科学版)
Journal of Sun Yat-sen University(Medical Sciences) ; (6): 1060-1067, 2023.
Article in Chinese | WPRIM | ID: wpr-999000
ABSTRACT
ObjectiveTo explore the influencing factors of different scores on predicting death risk of extremely low birth weight infants (ELBWI). MethodsA total of 186 cases of ELBWI admitted by the Children's Hospital affiliated to Nanjing Medical University and the Lishui Branch of the Affiliated Zhongda Hospital of Southeast University were admitted from January 1, 2019 to January 1, 2021, and 125 ELBWIs were finally included after screening by inclusion and exclusion criteria. There were 47 cases in the death group and 78 cases in the survival group. General data and the items of score for neonatal acute physiology version Ⅱ (SNAP-Ⅱ), simplified version of the score for neonatal acute physiology perinatal extension (SNAPPE-Ⅱ), clinical risk index for babies (CRIB), clinical risk index for babies Ⅱ (CRIB-Ⅱ) and the national critical illness score (NCIS) were collected. Univariate and multivariate analysis was performed and nomogram was evaluated using receiver operating characteristic curve (ROC). ResultsIt was found that systolic blood pressure, maximum inhaled oxygen concentration, BE value and birth weight were important factors in ELBWI mortality risk assessment [systolic blood pressure OR: 0.968, 95%CI: 0.938-0.999, P=0.043; maximum inhaled oxygen concentration OR: 1.020, 95%CI: 1.006-1.034, P=0.006; BE OR: 0.868, 95%CI: 0.786-0.959, P=0.005; birth weight OR: 0.994, 95%CI: 0.991-0.997, P=0.000]. ROC showed that the area under the curve of the above four variables is 0.71, and the 95% confidence interval is 0.610-0.799, which is better than CRIB score. ConclusionLower systolic blood pressure, higher inhaled oxygen concentration, higher BE and lower birthweight are important influencing factors to predict the death risk of ELBWI. The above four items should be included in the newly developed score assessment to obtain a more effective ELBWI prediction system.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Journal of Sun Yat-sen University(Medical Sciences) Year: 2023 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Journal of Sun Yat-sen University(Medical Sciences) Year: 2023 Type: Article