Can venous blood gas analysis be used for predicting seizure recurrence in emergency department?

Factors affecting seizure recurrence in the emergency department

Background

Information on Emergency Department (ED) follow-up of patients presenting with epileptic seizures is limited.

Objectives

It was planned to investigate the factors affecting the recurrence of epileptic seizures in the follow-up of patients presenting to the ED with the complaint of epileptic seizures.

Materials and methods

This prospective, observational, single-center study was carried out in an adult population presenting to the ED. The study included patients older than 18 years of age presenting to the ED with the complaint of epileptic seizures.

Results

Of the 205 patients included in the study, 68 (33.2%) had seizure recurrence during the 6 h. In the univariable analysis, advanced age, prolonged post-ictal duration, increased seizure duration, generalized tonic clonic seizure, alcohol consumption within past 24 h, hypertension, coronary artery disease, Alzheimer's disease, prior ischemic cerebrovascular disease, low Glascow Coma Scale (GCS), high glucose, high C-Reactive Protein, high phosphorus, low potassium, high blood urea nitrogen, high lactate, increased anion gap, high osmolarity were statistically significant in predicting recurrent seizure recurrence within 6 h. According to the logistic regression, postictal duration, GCS score, and age were independent predictors in our model. The cut-off value of postictal duration in predicting seizure recurrence at the highest sensitivity (66.2%) and specificity (89.8%) was 22.5 min.

Conclusion

A prolonged postictal state, low GCS score, advanced age may be an indication of seizure recurrence. Therefore, patients with a long postictal duration, low GCS score, advanced age should be followed up more carefully in terms of recurrent seizures in the ED.

Evaluation of postictal optic nerve sheath diameter at epileptic patients

INTRODUCTION

During a seizure, metabolic rate and, consequently, cerebral blood flow increase to provide the required maintenance energy. It is thought that this causes an increase in intracranial pressure, but there is no comprehensive research on this subject. In this study, we aimed to measure and follow optic nerve sheath diameter (ONSD) in patients who applied to the emergency department (ED) after generalized tonic-clonic (GTC) seizures and to gain information about intracranial pressure changes in epilepsy patients in the postictal period.

MATERIALS AND METHODS

This was a prospective observational study. Patients already diagnosed with epilepsy who applied to the ED within one hour after GTC seizures were included. The ONSD of the patients was measured by the same radiologist three times in both eyes using ultrasonography at the time of admission and the fourth hour of follow-up. The seizure characteristics and measurements of the patients were recorded, and the changes in ONSD over time and correlations between seizure characteristics and ONSD were examined.

RESULTS

Sixty-six patients were included in the study. Thirty-four (51.5%) of the patients had seizures with auras. For both eyes, the first-hour ONSD values of the patients [right: 5.90 (5.73-6.16) mm, left: 5.86 (5.73-6.13) mm] were significantly higher than the fourth-hour ONSD values [right: 5.26 (5.19-5.40) mm, left: 5.28 (5.16-5.36) mm)] (p < 0.001 for both eyes). Additionally, the first- and fourth-hour ONSD values of patients with seizures with auras were significantly higher than those with seizures without auras (p < 0.001 for each condition). There was no correlation between other variables related to seizure type and ONSD.

CONCLUSION

This study showed that after GTC seizures in epilepsy patients, ONSD increases in the first hour postictal and decreases over time. Another important result is that the increase in ONSD values in seizures with auras is significantly higher than in seizures without auras.

Risk of Epilepsy in Children Presenting to Emergency Departments with Their First Afebrile Seizure: A Retrospective Multicenter Study

Seizure is one of the most common neurologic disorders in pediatric emergency department visits. Early detection of epilepsy development in children with afebrile seizures is important. We identified predictors of epilepsy development in children with their first afebrile seizure. In this retrospective multicenter study, we enrolled pediatric patients aged 1 month to 18 years who presented with afebrile seizures at the emergency department from January 2017 to December 2020. Multivariable logistic regression analysis was performed to identify factors associated with epilepsy development. A total of 417 pediatric patients were enrolled, 161 (38.6%) of whom developed epilepsy. From the multivariable logistic regression analysis, older age at onset (2−5 years, odds ratio [OR] 2.611, p = 0.010; 11−15 years, OR 3.138, p = 0.003; 16−18 years, OR 4.292, p = 0.002), longer seizure duration of more than 10 min (OR 4.869, p = 0.006), two or more seizures (OR 2.378, p = 0.004), lethargy (OR 2.341, p = 0.021), and a lactate level > 2.27 mg/dL (OR 4.205, p < 0.001) were significant predictors for the development of epilepsy in children experiencing their first afebrile seizure.

ES-RED (Early Seizure Recurrence in the Emergency Department) Calculator: A Triage Tool for Seizure Patients

Seizure is a common neurological presentation in patients visiting the emergency department (ED) that requires time for evaluation and observation. Timely decision and disposition standards for seizure patients need to be established to prevent overcrowding in the ED and achieve patients’ safety. Here, we conducted a retrospective cohort study to predict early seizure recurrence in the ED (ES-RED). We randomly assigned 688 patients to the derivation and validation cohorts (2:1 ratio). Prediction equations extracted routine clinical and laboratory information from EDs using logistic regression (Model 1) and machine learning (Model 2) methods. The prediction equations showed good predictive performance, the area under the receiver operating characteristics curve showing 0.808 in Model 1 [95% confidential interval (CI): 0.761–0.853] and 0.805 in Model 2 [95% CI: 0.747–0.857] in the derivation cohort. In the external validation, the models showed strong prediction performance of 0.739 [95% CI: 0.640–0.824] in Model 1 and 0.738 [95% CI: 0.645–0.819] in Model 2. Intriguingly, the lowest quartile group showed no ES-RED after 6 h. The ES-RED calculator, our proposed prediction equation, would provide strong evidence for safe and appropriate disposition of adult resolved seizure patients from EDs, reducing overcrowding and delays and improving patient safety.

Peripheral venous lactate levels substitute arterial lactate levels in the emergency department

Background

Arterial lactate (AL) level is an important predictor of patient prognosis. AL and peripheral venous lactate (PVL) in blood gas analysis have a low concordance rate, and PVL cannot be used as a substitute for AL. However, if the AL range can be predicted from PVL, PVL may be an alternative method for predicting patient prognosis, and the risk of arterial puncture complications with AL may be reduced. This could be a safe and rapid test method.

Methods

This was a retrospective observational study of 125 cases in which blood gas analysis was performed on both arterial and venous blood with an infectious disease in an emergency department. Spearman’s rank correlation coefficient (r) and Bland–Altman analyses were performed. Sensitivity, specificity, and area under the curve (AUC) were calculated for PVL to predict AL < 2 mmol/L or < 4 mmol/L.

Results

The median [interquartile range] AL and PVL were 1.82 [1.25–2.46] vs. 2.08 [1.57–3.28], respectively, r was 0.93 (p < 0.0001), and a strong correlation was observed; however, Bland–Altman analysis showed disagreement. When AL < 2 mmol/L was used as the outcome, AUC was 0.970, the PVL cutoff value was 2.55 mmol/L, sensitivity was 85.71%, and specificity was 96.05%. If PVL < 2 mmol/L was the outcome, the sensitivity for AL < 2mmol/L was 100%, and for PVL levels ≥ 3 mmol/L, the specificity was 100%. When AL < 4 mmol/L was used as the outcome, AUC was 0.967, the PVL cutoff value was 3.4 mmol/L, sensitivity was 100%, and specificity was 85.84%. When PVL < 3.5 mmol/L was the outcome, the sensitivity for AL < 4 mmol/L was 100%, and for PVL levels ≥ 4 mmol/L, the specificity was 93.81%.

Conclusions

This study revealed that PVL and AL levels in the same critically ill patients did not perfectly agree with each other but were strongly correlated. Furthermore, the high accuracy for predicting AL ranges from PVL levels explains why PVL levels could be used as a substitute for AL level ranges.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12245-022-00410-y.

Predictors of seizure recurrence in emergency department pediatric patients with first-onset afebrile seizure: A retrospective observational study

INTRODUCTION

The primary goals of emergency department (ED) clinicians when dealing with a pediatric patient experiencing a seizure are to control the seizure and prevent seizure-related complications. After stabilizing the patient, the clinician should determine whether the patient is likely to have recurrent seizures that may need treatment such as antiepileptic drugs (AEDs). The early identification of pediatric seizure patients at high risk for recurrence can be of great help in consulting with their parents. This study aimed to identify predictors of seizure recurrence in pediatric patients who visited the ED for first-onset afebrile seizure.

METHODS

This retrospective study was conducted with pediatric patients aged 1 month to 18 years who visited our ED for afebrile seizure from January 2016 to March 2020. Children with a known seizure disorder, known underlying genetic or metabolic disorder, or acute trauma history, and those lost to follow-up were excluded. Multivariable logistic regression analysis was performed to identify factors associated with seizure recurrence.

RESULTS

A total of 253 pediatric patients were included in the study. Seizure recurrence was observed in 117 patients (46.3%). From the multivariable logistic regression analysis, older age at onset (11-15 years, odds ratio [OR] 5.781, p = 0.001; 16-18 years, OR 6.223, p = 0.002), a longer seizure duration (1-5 min, OR 3.043, p = 0.002; 6-10 min, OR 5.629, p = 0.002; >10 min, OR 8.882, p = 0.002), blood pH under 7.2 (OR 8.308, p = 0.015), and a glucose level over 144 mg/dL (OR 6.408, p = 0.030) were significantly associated with seizure recurrence. The area under the receiver operating characteristic curve for the multivariable logistic regression analysis was 0.774.

CONCLUSION

Age at onset ≥11 years, a longer seizure duration, acidosis, and hyperglycemia were predictors of seizure recurrence in children who had experienced first-onset afebrile seizure.

Seizure Prediction Model in Acute Tramadol Poisoning; a Derivation and Validation study

INTRODUCTION

Seizure is a common complication of tramadol poisoning and predicting it will help clinicians in preventing seizure and better management of patients. This study aimed to develop and validate a prediction model to assess the risk of seizure in acute tramadol poisoning.

METHODS

This retrospective observational study was conducted on 909 patients with acute tramadol poisoning in Baharloo Hospital, Tehran, Iran, (2015-2019). Several available demographic, clinical, and para-clinical characteristics were considered as potential predictors of seizure and extracted from clinical records. The data were split into derivation and validation sets (70/30 split) via random sampling. Derivation set was used to develop a multivariable logistic regression model. The model was tested on the validation set and its performance was assessed with receiver operating characteristic (ROC) curve.

RESULTS

The mean (standard deviation (SD)) of patients' age was 23.75 (7.47) years and 683 (75.1%) of them were male. Seizures occurred in 541 (60%) patients.  Univariate analysis indicated that sex, pulse rate (PR), arterial blood Carbone dioxide pressure (PCO₂), Glasgow Coma Scale (GCS), blood bicarbonate level, pH, and serum sodium level could predict the chance of seizure in acute tramadol poisoning. The final model in derivation set consisted of sex, PR, GCS, pH, and blood bicarbonate level. The model showed good accuracy on the validation set with an area under the ROC curve of 0.77 (95% CI: 0.67-0.87).

CONCLUSION

Representation of this model as a decision tree could help clinicians to identify high-risk patients with tramadol poisoning-induced seizure and in decision-making at triage of emergency departments in hospitals.

Laboratory markers of cardiac and metabolic complications after generalized tonic-clonic seizures

Background

Generalized tonic-clonic seizures (GTCS) frequently lead to emergency inpatient referrals. Laboratory blood values are routinely performed on admission to detect underlying causes and metabolic or cardiac complications. Our goal was to assess the nature and frequency of complications occurring in association with GTCS.

Methods

We retrospectively extracted data from emergency protocols and discharge letters of adult patients admitted to the Department of Epileptology between 01/2010 and 06/2015. Inclusion criteria were diagnosis of GTCS and admission via emergency services. Exclusion criteria were status epilepticus prior to admission to hospital and non-generalized seizures.

Results

A total of 223 patients (of 986 screened cases) were included. Overall, 1.8% required intubation while 1.3% had less severe respiratory problems. In 5.6% of patients, a transient hypoxemia was measured. Hypertensive urgencies affected 7.8% of the patients, sinus tachycardia occurred in 41.2%. Troponin I (cTNI) was determined in 75 patients and was increased in 12% of these cases. Occurrence of elevated cTNI levels was significantly correlated with patient’s age. Four patients were diagnosed with NSTEMI and one patient with STEMI. Creatine kinase (CK) was increased in 59.4% of the patients, with <5-fold increases in 47%, <10-fold in 5.8% and >10-fold increases in 4.3%. Rhabdomyolysis with an >50 fold increase in CK was detected in 1.9% of patients. Prolonged disturbances of consciousness affected 5% of cases while agitation, delirium, and psychotic episodes occurred in 6.3%. Minor traumatic injuries affected 45.7% of patients.

Conclusions

Troponin elevations in association with GTCS are one of the more common complications after emergency admissions especially in older patients. In our selected patient population, serious complications such as intracranial hemorrhage, myocardial infarction and acute renal failure occurred in <1% of GTCS only.