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1.
International Journal of Pediatrics ; (6): 829-833, 2022.
Article in Chinese | WPRIM | ID: wpr-989021

ABSTRACT

Emergency transport of critically ill neonates is an important means to reduce neonatal mortality and improve prognosis.Neonatal transport score is used to evaluate the safety of transport, mainly including transport risk index of physiologic stability, mortality index for neonatal transportation, transport related mortality score and intrauterine transport score.Evaluating the severity of disease of critically ill newborns before, during and after transport can reduce the occurrence of transport complications, reduce neonatal mortality, improve prognosis and increase the success rate of treatment.This paper reviews the research progress of critical neonatal transport scoring at home and abroad to help clinicians choose appropriate scoring methods according to specific conditions, in order to provide a basis for continuous quality improvement in this field.

2.
Chinese Pediatric Emergency Medicine ; (12): 462-466, 2018.
Article in Chinese | WPRIM | ID: wpr-699009

ABSTRACT

Objective To study the incidence of acute renal injury ( AKI), related clinical risk factors and recent prognosis in critically ill neonates. Methods The study was a retrospective analysis from January 2016 to December 2016 in the neonatal care department of General Hospital of Shenyang Military Region and the First Hospital Affiliated to China Medical University. We collected the perinatal data,clinical data,biochemical indexes and short-term prognosis. Logistic regression analysis was used to identify the risk factors. Results The incidence of AKI in critically ill neonates was 13. 11%(32/244),and the probability of poor prognosis was 62. 50%(20/32). Gestational age,birth weight,1 min and 5 min Apgar score,con-sciousness,mechanical ventilation,blood pH,blood glucose,blood urea nitrogen,white blood cell and red cell distribution width were the related factors for AKI in critically ill neonates. Logistic regression analysis showed that consciousness(OR=4. 542,95%CI 1. 176-17. 539,P=0. 028),mechanical ventilation(OR=0.267,95%CI 0.101-0.705,P = 0.008),5 min Apgar score(OR = 0.750,95% CI 0.605-0.930,P =0. 009),blood urea nitrogen value(OR=1. 074,95%CI 1. 006-1. 146,P=0. 030)were identified as the inde-pendent risk factors of AKI. ConclusionThe incidence of AKI is high in critically ill neonates. Consciousness,mechanical ventilation,5 min Apgar score,blood urea nitrogen value are identified as independent risk factors for AKI.

3.
Chinese Journal of Applied Clinical Pediatrics ; (24): 1385-1388, 2014.
Article in Chinese | WPRIM | ID: wpr-453786

ABSTRACT

Objective To determine if urinary cystatin C (uCys C) level can predict mortality in critically ill neonates.Methods This prospective study included neonates admitted to the intensive care unit within the first 6 hours of life from May.2011 to Oct.2012.Neonates were assigned into survivor and non-survivor groups based on whether they died during the first week of life.The uCys C level was measured on the day of admission.The score for neonatal acute physiology (SNAP) was calculated based on 28 items collected during the first 24 hours of admission.Multivariate Logistic regression analysis was used to determine whether uCys C level was a predictor of mortality.A receiver operating characteristic (ROC) curve was constructed and the area under the ROC curve (AUC) was calculated to assess the predictive strength.Results Of the total 155 neonates,12 cases (7.1%) died during the first week of life.When compared to survivors,the gestational age (t =2.810,P =0.006) and birth weight (t =3.245,P =0.001) in non-survivors were significantly lower; but the uCys C level (z =-3.426,P =0.001),the SNAP score (z =-3.308,P =0.001),and the use of mechanical ventilation (x2 =23.877,P =0.000) were significantly higher.Logistic regression analysis revealed that uCys C remained significantly associated with mortality after adjusting for gestation age,birth weight,or the SNAP score (P =0.024).uCys C achieved AUC of 0.81 (95% CI:0.71-0.92,P =0.001).When combined with SNAP and mechanical ventilation,the predictive performance of uCys C improved AUC 0.93 (95 % CI:0.86-1.00,P =0.000).Conclusion uCys C is significantly associated with adverse outcome of death and independently predictive of mortality in critically ill neonates.

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