Moderate Neonatal Encephalopathy: Prenatal and Perinatal Risk Factors and Long-Term Outcome

2008 ◽  
Vol 28 (4) ◽  
pp. 215-216
Author(s):  
K. Lindström ◽  
B. Hallberg ◽  
M. Blennow ◽  
K. Wolff ◽  
E. Fernell ◽  
...  
2008 ◽  
Vol 87 (5) ◽  
pp. 503-509 ◽  
Author(s):  
Katarina Lindström ◽  
Boubou Hallberg ◽  
Mats Blennow ◽  
Kerstin Wolff ◽  
Elisabeth Fernell ◽  
...  

Author(s):  
Brian H. Walsh ◽  
Chelsea Munster ◽  
Hoda El-Shibiny ◽  
Edward Yang ◽  
Terrie E. Inder ◽  
...  

Abstract Objective The NICHD and SIBEN assessments are adapted from the Sarnat grade, and used to determine severity of neonatal encephalopathy (NE). We compare NICHD and SIBEN methods, and their ability to define a minimum threshold associated with significant cerebral injury. Study design Between 2016 and 2019, 145 infants with NE (77-mild; 65-moderate; 3-severe) were included. NICHD and SIBEN grade and numerical scores were assigned. Kappa scores described agreement between methods, and ROC curves their ability to predict MR injury. Results Good agreement existed between grading systems (K = 0.86). SIBEN defined more infants as moderate, and less as mild, than NICHD (p < 0.001). Both numerical scores were superior to standard grades in predicting MR injury. Conclusion Despite good agreement between methods, SIBEN defines more infants as moderate NE. Both numerical scores were superior to standard grade, and comparable to each other, in defining a minimum threshold for cerebral injury. Further assessment contrasting their predictive ability for long-term outcome is required.


2007 ◽  
Vol 31 ◽  
pp. S120-S121
Author(s):  
A.A.N. Giagounidis ◽  
S. Haase ◽  
V. Lohrbacher ◽  
M. Heinsch ◽  
B. Schuran ◽  
...  

2009 ◽  
Vol 98 (3) ◽  
pp. 164-168 ◽  
Author(s):  
J. Virkkunen ◽  
M. Venermo ◽  
J. Saarinen ◽  
J. Salenius

Background and Aims: The ability to predict post-operative mortality reliably will be of assistance in making decisions concerning the treatment of an individual patient. The aim of this study was to test the GAS score as a predictor of post-operative mortality in vascular surgical patients. Material and Methods: A total of 157 consecutive patients who underwent an elective vascular surgical procedure were included in the study. The Cox proportional hazards model was used in analyzing the importance of various preoperative risk factors for the postoperative outcome. ASA and GAS were tested in predicting the short and long-term outcome. On the basis of the GAS cut-off value 77, patients were selected into low-risk (GAS low: GAS < 77) and high-risk (GAS high: GAS > = 77) groups, and the examined risk factors were analyzed to determine which of them had predictive value for the prognosis. Results: None of the patients in the GAS low group died, and mortality in the GAS high group was 4.8% (p = 0.03) at 30 days' follow-up. The 12-month survival rates were 98.6% and 78.6% (p = 0.0001), respectively, with the respective 5-year survival rates of 76.7% and 44.0% (p = 0.0001). The only independent risk factor for 30-day mortality was the renal risk factor (OR 20.2). The combination of all three GAS variables(chronic renal failure, cardiac disease and cerebrovascular disease), excluding age, was associated with a 100% two-year mortality. Conclusions: Mortality is low for patients with GAS<77. For the high-risk patients (GAS> = 77), due to its low predictive value for death, GAS yields limited value in clinical practice. In cases of patients with all three risk factors (renal, cardiac and cerebrovascular), vascular surgery should be considered very carefully.


Medicine ◽  
2021 ◽  
Vol 100 (45) ◽  
pp. e27827
Author(s):  
Jong Seok Joo ◽  
Jae Ho Park ◽  
Ju Seok Kim ◽  
Sun Hyung Kang ◽  
Hee Seok Moon ◽  
...  

1998 ◽  
Vol 43 ◽  
pp. 135-135
Author(s):  
Ronen Loebstein ◽  
Gordana Atanackovic ◽  
Raafat Bishai ◽  
Sohail Khattak ◽  
Sylvian Baruchel ◽  
...  

1997 ◽  
Vol 150 ◽  
pp. S16-S17
Author(s):  
S. Pitlović ◽  
R. Coha ◽  
D. Fajdetić ◽  
T. Prvulović

2020 ◽  
Vol 29 ◽  
pp. S147
Author(s):  
V. Moosavi ◽  
M. Paymard ◽  
R. Ebrahimi ◽  
T. Harvey ◽  
N. Parkes ◽  
...  

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