BACKGROUND: @entity75 is a serious complication of pediatric cardiac surgery. Early prediction of actual risk can be useful in counseling of parents, and in early diagnosis and rehabilitation therapy. Also, if all @entity1 at risk could be identified therapeutic strategies to limit perioperative @entity75 might be developed. The aim of this study is to create a mathematical model to predict risk of neurologic sequelae within 24 hours after surgery using simple and readily available clinical measurements. METHODS: The hospital records of 534 @entity1 after cardiac surgery were reviewed. Variables examined were age at operation, diagnosis, use of cardiopulmonary bypass, arterial and central venous @entity26 saturation, serum @entity413 , @entity880 and @entity908 kinase, mean arterial pressure, and body temperature. The endpoint for each study @entity1 was the occurrence or lack of occurrence of @entity410 , @entity717 , @entity1779 , @entity1188 , @entity1276 , or marked @entity194 . Univariate and multivariate regression analyses were used to evaluate the predictive power of the investigated factors as well as to create a predictive model. RESULTS: In 6.26% of @entity1 symptoms of @entity75 were found. Significant risk factors were age at surgery, more @entity600 , @entity520 , and increased @entity880 (odds ratio: age, 0.882/yr [0.772-1.008]; @entity600 , 10.32 [1.32-80.28]; arterial pH more than 7.35 to 0.4 [0.18-0.89]; @entity880 -1.018 per mg/dL [1.006-1.03]). CONCLUSIONS: It is possible to quantify the risk of appearance of symptoms of @entity75 after cardiac surgery within 24 hours using simple and readily available clinical measurements.

Early postoperative prediction of XXXX after pediatric cardiac surgery.

@entity1 :: ('9606', 'Species') :: ['children', 'patient'] @entity410 :: ('MESH:D012640', 'Disease') :: ['seizures'] @entity1276 :: ('MESH:D006849', 'Disease') :: ['hydrocephalus'] @entity75 :: ('MESH:D001927', 'Disease') :: ['cerebral damage', 'Cerebral damage'] @entity908 :: ('MESH:D003401', 'Chemical') :: ['creatine'] @entity26 :: ('MESH:D010100', 'Chemical') :: ['oxygen'] @entity600 :: ('MESH:D000014', 'Disease') :: ['complex malformations'] @entity520 :: ('MESH:D000138', 'Disease') :: ['metabolic acidosis'] @entity1188 :: ('MESH:D007238', 'Disease') :: ['infarction'] @entity194 :: ('MESH:D001284', 'Disease') :: ['cerebral atrophy'] @entity880 :: ('MESH:D019344', 'Chemical') :: ['lactate'] @entity1779 :: ('MESH:D002543', 'Disease') :: ['cerebral hemorrhage'] @entity717 :: ('MESH:D009069', 'Disease') :: ['movement or developmental disorders'] @entity413 :: ('MESH:D005947', 'Chemical') :: ['glucose']
@entity75 :: (MESH:D001927,Disease) :: ['cerebral damage']
