Risk model of seizure cluster or status epilepticus and intervention in the emergency department

OBJECTIVES

To identify possible predictors of seizure cluster or status epilepticus (SE) and to evaluate whether these patients receive greater interventions in emergency departments.

METHODOLOGY

We conducted a secondary analysis of the ACESUR Registry, a multipurpose, observational, prospective, multicentre registry of adult patients with seizures from 18 emergency departments. Clinical and care-related variables were collected. We identified risk factors and risk models for seizure cluster or SE and assessed the effect of interventions by prehospital emergency services and the hospital emergency department.

RESULTS

We identified a total of 186 (28%) patients from the ACESUR registry with seizure cluster (126 [19%]) or SE (60 [9%]); the remaining 478 patients (72%) had isolated seizures. The risk model for seizure cluster or SE in the emergency department included Charlson Comorbidity Index scores ≥ 3 (OR: 1.60; 95% CI, 1.05-2.46; P=.030), ≥ 2 habitual antiepileptic drugs (OR: 2.29; 95% CI, 1.49-3.51; P<.001), and focal seizures (OR: 1.56; 95% CI, 1.05-2.32; P=.027). The area under the curve of the model was 0.735 (95% CI, 0.693-0.777; P=.021). Patients with seizure cluster and SE received more aggressive interventions both by prehospital emergency services (OR: 2.89; 95% CI, 1.91-4.36; P<.001) and at the emergency department (OR: 4.41; 95% CI, 2.69-7.22; P<.001).

CONCLUSIONS

This risk model may be of prognostic value in identifying adult patients at risk of presenting seizure cluster or SE in the emergency department. In our sample, these patients received more aggressive treatment than adult patients with isolated seizures before arriving at hospital, and even more so in the emergency department.

Risk model of seizure cluster or status epilepticus and intervention in the emergency department

OBJECTIVES

To identify possible predictors of seizure cluster or status epilepticus (SE) and to evaluate whether these patients receive greater interventions in emergency departments.

METHODOLOGY

We conducted a secondary analysis of the ACESUR Registry, a multipurpose, observational, prospective, multicentre registry of adult patients with seizures from 18 emergency departments. Clinical and care-related variables were collected. We identified risk factors and risk models for seizure cluster or SE and assessed the effect of interventions by prehospital emergency services and the hospital emergency department.

RESULTS

We identified a total of 186 (28%) patients from the ACESUR registry with seizure cluster (126 [19%]) or SE (60 [9%]); the remaining 478 patients (72%) had isolated seizures. The risk model for seizure cluster or SE in the emergency department included Charlson Comorbidity Index scores≥3 (OR: 1.60; 95% CI, 1.05-2.46; P=.030), ≥2 habitual antiepileptic drugs (OR: 2.29; 95% CI, 1.49-3.51; P<.001), and focal seizures (OR: 1.56; 95% CI, 1.05-2.32; P=.027). The area under the curve of the model was 0.735 (95% CI, 0.693-0.777; P=.021). Patients with seizure cluster and SE received more aggressive interventions both by prehospital emergency services (OR: 2.89; 95% CI, 1.91-4.36; P<.001) and at the emergency department (OR: 4.41; 95% CI, 2.69-7.22; P<.001).

CONCLUSIONS

This risk model may be of prognostic value in identifying adult patients at risk of presenting seizure cluster or SE in the emergency department. In our sample, these patients received more aggressive treatment than adult patients with isolated seizures before arriving at hospital, and even more so in the emergency department.

Early markers of endocrinometabolic disease in newborns with delayed intrauterine growth

INTRODUCTION

The adjustments to malnutrition in growth restricted fetus (GRF) that lead to obesity, insulin resistance, diabetes and cardiovascular disease in adulthood are not well known. The most feasible explanation for this association is the hypothesis of catch up. Some studies postulate a greater influence of catch up growth than the low birth weight itself in developing metabolic and cardiovascular disease.

MATERIAL AND METHODS

This is a prospective cohort study of newborns with intrauterine growth restriction (defined as weight percentile at birth less than 10th) born during a one-year period. Clinical data of patients were recorded (gender, gestational age, data about breastfeeding and anthropometry during follow-up every 3 months). Some details of pregnancy and characteristics of the mother were also registered. Serum biochemical parameters (IGF-1, IGF-BP3, insulin, glucose, total cholesterol, HDL cholesterol, DLD cholesterol, triglycerides, HOMA) were collected at birth from cord blood, 9 and 12 months. Two main comparative groups were established: those GRF who made a catch-up growth (increase in weight Z score higher than 0,67) during the follow-up and those who did not get it.

RESULTS

126 GRF children were born in the study period. 125 accepted the inclusion in the study and 67 of them completed the full monitoring for a year; 47 of them made recovery growth and 20 did not. A significant difference between both groups was found in glucose in umbilical cord and triglycerides at 12 months: GRF children with catch up growth showed lower glucose levels (p = 0.03) and higher levels of triglycerides (p = 0.03). There were no statistically significant differences in the rest of laboratory parameters analyzed (IGF-1, IGF-BP3, insulin, glucose, total cholesterol, HDL cholesterol, DLD cholesterol, HOMA at 9 and 12 months or triglycerides at 9 months).

CONCLUSIONS

Those GRF with catch up growth during the first year of life have early changes in the triglycerides at the end of that period with higher levels than those GRF children without catch up growth. This finding could be useful to develop a tool for early detection of GRF children with higher metabolic risk in order to prevent future pathology.

Prognostic value of metabolic tumour volume and total lesion glycolysis in 18F-FDG PET/CT scans in locally advanced breast cancer staging

OBJECTIVE

To determine whether metabolic tumour volume (MTV) and total lesion glycolysis (TLG) are able to predict recurrence risk in locally advanced breast cancer (LABC) patients.

MATERIAL AND METHODS

Retrospective study of LABC patients who undertook neoadjuvant, local and adjuvant treatment and follow up. A ¹⁸F-FDG PET/CT study for initial staging was performed analysing in this study different metabolic parameters (MTV, TLG, SUVmax and SUVmed) both in the primary tumour (T) as well as in axillary nodes (N) and whole-body (WB).

RESULTS

Forty females were included between January 2010-2011; follow up until January 2015 was completed. The average follow-up was 46 months. Twenty percent presented recurrence: local disease (n=2) and distant metastasis (n=6); 3 patients died (38% of the patients which recurred and 7.5% from the total). SUVmax, MTV and TLG, in T, N and WB, were higher in those patients with recurrence. The MTV and TLG parameters in the tumour (T) were related to the recurrence rate (P=.020 and P=.028, respectively); whereas SUVmax in the lymph nodes (N) was significantly related (P=.008) to the recurrence rate. The best cut-off points to predict recurrence where: MTV T ≥19.3cm³, TLG T≥74.4g and SUVmax N≥13.8, being 10-12 times more likely to recidivate when these thresholds where exceeded. Tumour grade was the only clinical-pathological variable which was related to recurrence probability (p=.035).

CONCLUSIONS

In this study of LABC patients the metabolic parameters which have a better relationship with recurrence rate are: MTV and TLG in the primary tumour, SUVmax in the regional lymph node disease and whole-body PET data.