Assessment of postoperative risk factors for EEG abnormalities in routine clinical management after paediatric cardiopulmonary bypass.

OBJECTIVES: The postoperative risk factors for electroencephalogram(EEG) abnormalities after paediatric cardiopulmonary bypass (CPB) remain to be identified. We investigated the characteristics of EEG abnormalities and risk factors in routine clinical management post-CPB. METHODS: EEG and cerebral oxygen saturation (ScO2) were monitored in 96 patients (aged 3 days, 37 months, median 5 months) for 72 h post-CPB. Clinical measurements included 4-hourly arterial and central venous pressure, arterial blood gases, doses of inotropic and vasoactive drugs, daily C-reactive protein (CRP) and NT-proB-type Natriuretic Peptide (NT-proBNP). Demographics, STAT categories and outcomes (duration of mechanical ventilation,CICU stay) were recorded. Un. RESULTS: Seizures occurred in 20 patients (20.8%) beginning at 0-48 hand lasting 10 min-31 h; background abnormalities occurred in 67 (69.8%) beginning at 0-8 h and lasting 4-48 h. Patients with EEG abnormalities had worse outcomes. In univariable regression, seizures positively correlated with STAT categories, CPB time, temperature, blood pressure, central venous pressure, NT-proBNP, CRP, lactate and epinephrine, negatively with ScO2 and PaCO2 (P < 0.001 for lactate and epinephrine, P < 0.1 for the remaining). The degree of background abnormalities positively correlated with STAT categories, CPB time, operative time, central venous pressure, milrinone, negatively with blood pressure (P = 0.0003-0.087); it negatively correlated with lower dose of epinephrine (P < 0.001) and positively with higher dose (P = 0.03l). In multivariable regression, seizures positively correlated with epinephrine, lactate and temperature; the background abnormality correlations remain significant except for milrinone and operative time (P < 0.001 for epinephrine, P < 0.05 for the remaining). CONCLUSIONS: Numerous perioperative risk factors are associated with EEG abnormalities post-CPB. The most significant and consistent risk factor is epinephrine.

A follow-up study in children with status epilepticus during sleep: From clinical spectrum to outcome.

PURPOSE: To evaluate the correlation between clinical spectrum and therapeutic outcomes and neuropsychological deficits in children with status epilepticus during sleep (SES). METHODS: The clinical spectrum of patients with SES was defined as follows: status epilepticus of benign childhood epilepsy with centro-temporal spikes (SEBECTs), atypical benign focal epilepsy during childhood (ABFEC), non-idiopathic focal epilepsy (NIFE), and Landau-Kleffner syndrome (LKS). SES cases were divided into 4 groups according to neuropsychological findings before treatment: developmental delay/intellectual disability (DD/ID), cognitive impairment (CI), attention deficit and/or hyperactivity behaviors (AHD), and normal group (NG). The therapeutic outcomes were classified into 3 groups: satisfactory response, recurrence, and seizure control. RESULTS: A total of 39 cases (24 males and 15 females) were recruited, including 3 cases with SEBECTs, 26 with ABFEC, 8 with NIFE [2 with focal cortical dysplasia (FCD)], and 2 with LKS. There were 7 patients in the DD/ID group, 8 in the CI group, 19 in the AHD group, and 5 in the NG group. Neuropsychological outcomes were significantly different among clinical spectrum (P < 0.001), and neuropsychological deficits frequently occurred in the ABFEC group or in the NIFE group. Besides, 18 patients in the satisfactory group had satisfactory response to medicine or surgery (2 out of 18 cases with FCD), whereas recurrence was observed at least one session within one year in 16 cases in the recurrence group, and no improvement in spike-wave index and cognition/behavior was noted in 5 patients in the seizure control group, although seizure could be controlled. There were significant differences in therapeutic outcomes among clinical spectrum (P = 0.041), with the worst outcomes in the NIFE group (only 1 out of 8 with satisfactory good response). CONCLUSIONS: It is important to categorize patients with SES into epilepsy syndromes, including SEBECTs, ABFPEC, NIFE, and LKS; the clinical spectrum may be a significant determinant to influence the outcomes of SES, including neuropsychological deficits and therapeutic outcomes.