scholarly journals Risk factors associated with intracranial hemorrhage in neonates with persistent pulmonary hypertension on ECMO

2015 ◽  
Vol 3 (1) ◽  
Author(s):  
Sule Doymaz ◽  
Marcia Zinger ◽  
Todd Sweberg
Author(s):  
Juan F. Masa ◽  
Iván D. Benítez ◽  
Shahrokh Javaheri ◽  
Maria Victoria Mogollon ◽  
Maria Á. Sánchez-Quiroga ◽  
...  

2016 ◽  
Vol 91 (12) ◽  
pp. E499-E501 ◽  
Author(s):  
Sara Melboucy‐Belkhir ◽  
Mehdi Khellaf ◽  
Alexandre Augier ◽  
Marouane Boubaya ◽  
Vincent Levy ◽  
...  

2017 ◽  
Vol 35 (03) ◽  
pp. 298-304 ◽  
Author(s):  
Wuttichart Kamolvisit ◽  
Sutthikiat Jaroensri ◽  
Benthira Ratchatapantanakorn ◽  
Narongsak Nakwan

Objective This study aims to determine the risk factors and outcome of persistent pulmonary hypertension of the newborn (PPHN)-associated acute kidney injury (AKI). Study Design Infants diagnosed with PPHN at Hat Yai Hospital from January 2012 to December 2016 were retrospectively reviewed. Results Of the 109 included PPHN infants, 28.4% (31/109) died, and AKI was found in 28.4% following neonatal KDIGO classification. Of the 31, 19 who died (61.3%) reached stage 1, 3 (9.7%) reached stage 2, and 9 (29.0%) reached stage 3. AKI (all stages combined) was significantly associated with increased mortality with an odds ratio (OR) of 8.71 (95% confidence interval [CI], 3.37–22.49). Multivariate logistic regression analysis indicated that male gender (adjusted OR = 8.56; 95% CI = 0.84–85.09) and urine output of < 1 mL/kg/h in 12 hours of admission (adjusted OR = 15.57; 95% CI = 2.58–93.98) were the main factors associated with an increased risk for AKI, while birth by cesarean delivery was associated with reduced risk of AKI (adjusted OR = 0.10; 95% CI = 0.16–0.68). Conclusion The incidence of AKI in PPHN was high in this study, and this complication was also significantly associated with higher mortality. In PPHN neonates, AKI should be especially closely monitored in males and infants who have a urine output of < 1 mL/kg/h in the first 12 hours of admission.


1988 ◽  
Vol 27 (1) ◽  
pp. 14-17 ◽  
Author(s):  
David G. Oelberg ◽  
David M. Temple ◽  
K. Stephen Haskins ◽  
Robert H. Bigelow ◽  
Eugene W. Adcock

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Cong Liu ◽  
Lin Yang ◽  
Yuwei Cheng ◽  
Hongmei Xu ◽  
Feng Xu

Abstract Background and purpose Pertussis is a serious infectious disease in young infants, and severe cases frequently cause death. Our study explored risk factors for death from severe pertussis. Method A case-control study of infants with severe pertussis admitted to the paediatric intensive care unit (PICU) in the Children’s Hospital of Chongqing Medical University, China, from January 1, 2013, to June 30, 2019, was conducted. Pertussis was confirmed by clinical features and laboratory examinations. Severe pertussis was defined as patients with pertussis resulting in PICU admission or death. To understand the risk factors for death, we compared fatal and nonfatal cases of severe pertussis in infants aged < 120 days by collecting clinical and laboratory data. Results The participants included 63 infants < 120 days of age with severe pertussis. Fifteen fatal cases were confirmed and compared with 44 nonfatal severe pertussis cases, Four patients with termination of treatment were excluded. In the univariate analysis, the risk factors associated with death included apnoea (P = 0.001), leukocytosis (white blood cell (WBC) count≥30 × 109/L (P = 0.001) or ≥ 50 × 109/L (P = 0)), highest lymphocyte count (P = 0), pulmonary hypertension (P = 0.001), and length of PICU stay (P = 0.003). The multivariate analysis revealed that apnoea (OR 23.722, 95%CI 2.796–201.26, P = 0.004), leukocytosis (OR 63.708, 95%CI 3.574–1135.674, P = 0.005) and pulmonary hypertension (OR 26.109, 95%CI 1.800–378.809, P = 0.017) were significantly associated with death. Conclusion Leukocytosis and pulmonary hypertension exhibited the greatest associations with death in infants with severe pertussis admitted to the PICU. Vaccination is still the most effective protection method against pertussis.


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