Predictors of functional disability at hospital discharge after status epilepticus

Management and outcomes of critically ill adult patients with convulsive status epilepticus and preadmission functional impairments

OBJECTIVE

Functional status is among the criteria relevant to decisions about intensive care unit (ICU) admission and level of care. Our main objective was to describe the characteristics and outcomes of adult patients requiring ICU admission for Convulsive Status Epilepticus (CSE) according to whether their functional status was previously impaired.

METHODS

We retrospectively analyzed data from consecutive adults who were admitted to two French ICUs for CSE between 2005 and 2018 and then included them retrospectively in the Ictal Registry. Pre-existing functional impairment was defined as a Glasgow Outcome Scale (GOS) score of 3 before admission. The primary outcome measure was a loss of ≥1 GOS score point at 1 year. Multivariate analysis was used to identify factors associated with this measure.

RESULTS

The 206 women and 293 men had a median age of 59 years [47-70 years]. The preadmission GOS score was 3 in 56 (11.2%) patients and 4 or 5 in 443 patients. Compared to the GOS-4/5 group, the GOS-3 group was characterized by a higher frequency of treatment-limitation decisions (35.7% vs. 12%, P < 0.0001), similar ICU mortality (19.6 vs. 13.1, P = 0.22), higher 1-year mortality (39.3% vs. 25.6%, P < 0.01), and a similar proportion of patients with no worsening of the GOS score at 1 year (42.9 vs. 44.1, P = 0.89). By multivariate analysis, not achieving a favorable 1-year outcome was associated with age above 59 years (OR, 2.36; 95%CI, 1.55-3.58, P < 0.0001), preexisting ultimately fatal comorbidity (OR, 2.92; 95%CI, 1.71-4.98, P = 0.0001), refractory CSE (OR, 2.19; 95%CI, 1.43-3.36, P = 0.0004), cerebral insult as the cause of CSE (OR, 2.75; 95%CI, 1.75-4.27, P < 0.0001), and Logistic Organ Dysfunction score ≥ 3 at ICU admission (OR, 2.08; 95%CI, 1.37-3.15, P = 0.0006). A preadmission GOS score of 3 was not associated with a functional decline during the first year (OR, 0.61; 95%CI, 0.31-1.22, P = 0.17).

SIGNIFICANCE

Preadmission functional status in adult patients with CSE is not independently associated with a functional decline during the first postadmission year. This finding may help physicians make ICU admission decisions and adult patients write advance directives.

STUDY REGISTRATION

#NCT03457831.

Mortality, Disability and Prognostic Factors of Status Epilepticus: A Nationwide Population-Based Retrospective Cohort Study

BACKGROUND AND OBJECTIVES

The outcome of status epilepticus (SE) largely varies depending on clinical characteristics. Risk stratification is necessary for tailoring the aggressiveness of treatment and predicting outcomes of individual patients with SE. In this study, we assessed differences in mortality, neurologic disability, and prognostic factors associated with SE across sociodemographic and clinical characteristics.

METHODS

We conducted a nationwide population-based retrospective cohort study using the National Health Insurance Service (NHIS) database linked with the national death and disability registries. SE was identified from admission or emergency room visits using a diagnostic code of G41 from the International Classification of Disease, 10^th Revision. Individuals with new-onset SE that occurred from January 1, 2010, to December 31, 2018, were included. Active epilepsy, refractoriness of SE, potential etiology, and comorbidities were ascertained by diagnostic codes and/or prescription records from the NHIS database as potential prognostic factors. Outcomes included 30-day and 1-year mortality and neurologic disabilities following SE. Prognostic factors for mortality were assessed by the Cox regression hazard model. We performed a subgroup analysis according to age: pediatric SE (age < 20 years old) and adult SE (age ≥ 20 years old).

RESULTS

A total of 33,814 new-onset SE patients were included (6,818 children/adolescents and 26,996 adults). The 30-day mortality was 8.5% (1.8% in pediatric SE and 10.2% in adult SE), and the 1-year mortality was 25.1% (4.6% in pediatric SE and 30.3% in adult SE). Overall, 10.7% of patients newly acquired neurologic disabilities following SE, with the highest incidence in children aged 5 to 9 years (21.3%). Intractable epilepsy developed in 0.8% of entire SE. Old age, presence of acute etiology, and refractoriness were poor prognostic factors for mortality in both pediatric and adult SE. Male sex, low economic status, no active epilepsy, and comorbidities were additional factors for a poor prognosis in adults.

CONCLUSIONS

New-onset SE was associated with substantial mortality and disability. While SE-related mortality was higher in adults, disabilities developed more commonly in children and adolescents. The major determinants of mortality differed between pediatric and adult SE.

A Theoretical Paradigm for Evaluating Risk-Benefit of Status Epilepticus Treatment

Aggressive treatment of status epilepticus with anesthetic drugs can provide rapid seizure control, but it might lead to serious medical complications and worse outcomes. Using a decision analysis approach, this concise review provides a framework for individualized decision making about aggressive and nonaggressive treatment in status epilepticus. The authors propose and review the most relevant parameters guiding the risk-benefit analysis of treatment aggressiveness in status epilepticus and present real-world-based case examples to illustrate how these tools could be used at the bedside and serve to guide future research in refractory status epilepticus treatment.

Evaluation of STESS, mRSTESS, and EMSE to Predict High Disability and Mortality at Hospital Discharge in Ecuadorian Patients with Status Epilepticus

BACKGROUND

Adequate identification of the severity of status epilepticus (SE) contributes to individualized treatment. The scales most widely used for this purpose are: Status Epilepticus Severity Score (STESS), Epidemiology-Based Mortality Score in Status Epilepticus (EMSE) and modified Rankin Scale STESS (mRSTESS). The aim of this study was to evaluate the performance of the STESS, EMSE and mRSTESS scales to predict high disability and hospital mortality at discharge (HD/HM).

METHODS

A prospective study was conducted in which total of 41 patients were registered from November 2015 to January 2018 at Eugenio Espejo Hospital. Clinical variables such as age, sex, clinical status at the beginning of the SE, initial symptom of SE, as well as the STESS, mRSTESS and EMSE variant scales were studied at the time of the diagnosis of SE.

RESULTS

A total of 41 patients were evaluated, of which 8 (19.5%) had HD at hospital discharge and died 13 (31.7%) during their care. The area under the receiver operating characteristic curve to predict HD/HM was 0.71 (95% CI (confidence interval) 0.55-0.87), 0.81 (95% CI 0.67-0.94), 0.89 (95% CI 0.79-0.99), 0.90 (95% CI 0.80-1.0), 0.89 (95% CI 0.78-0.99) for the STESS, mRSTESS, EMSE-EAC (etiology, age, comorbidities), EMSE-EACEG (etiology, age, comorbidities, electroencephalography) and EMSE-ECLEG (etiology, age, level of consciousness at pre-treatment, electroencephalography), variants of EMSE, respectively. The binary logistic regression demonstrated how the following cut-off points were determined: STESS OR (odd ratio) 4.80 (p = 0.02), mRSTESS OR 7.89 (p = 0.00), EMSE-EAC OR 22.16 (p = 0.00), EMSE-ECLEG OR 18.00 (p = 0.00), EMSE-EACEG OR 14 (p = 0.00).

CONCLUSIONS

All of the evaluated scales (STESS, mRSTESS, and EMSE) were shown to be useful in predicting HD/HM. EMSE was observed to be the most effective of the scales, with relative similarities among the variants.

Comparison of scoring tools for the prediction of in-hospital mortality in status epilepticus

PURPOSE

Several scoring tools have been developed for the prognostication of outcome after status epilepticus (SE). In this study, we compared the performances of STESS (Status Epilepticus Severity Score), mSTESS (modified STESS), EMSE-EAL (Epidemiology-based Mortality Score in Status Epilepticus- Etiology, Age, Level of Consciousness) and END-IT (Encephalitis-NCSE-Diazepam resistance-Image abnormalities-Tracheal intubation) in predicting in-hospital mortality after SE.

METHOD

Data collected retrospectively from a cohort of 287 patients with SE were used to calculate STESS, mSTESS, EMSE-EAL, and END-IT scores. The differences between the scores' performances were determined by means of area under the ROC curve (AUC) comparisons and McNemar testing.

RESULTS

The in-hospital mortality rate was 11.8%. The AUC of STESS (0.628; 95% confidence interval (CI), 0.529-0.727) was similar to that of mSTESS (0.620; 95% CI, 0.510-0.731), EMSE-EAL (0.556; 95% CI, 0.446-0.665), and END-IT (0.659; 95% CI, 0.550-0.768; p > .05 for each comparison) in predicting in-hospital mortality. STESS with a cutoff of 3 was found to have lowest specificity and number of correctly classified episodes. EMSE-EAL with a cutoff at 40 had highest specificity and showed a trend towards more correctly classified episodes while sensitivity tended to be low. END-IT with a cutoff of 3 had the most balanced sensitivity-specificity ratio.

CONCLUSIONS

EMSE-EAL is as easy to calculate as STESS and tended towards higher diagnostic accuracy. Adding information on premorbid functional status to STESS did not enhance outcome prediction. END-IT was not superior to other scores in prediction of in-hospital mortality despite including information of diagnostic work-up and response to initial treatment.

Status epilepticus in the elderly: Prognostic implications of rhythmic and periodic patterns in electroencephalography and hyperintensities on diffusion-weighted imaging

OBJECTIVE

To delineate the clinical characteristics and functional outcome of status epilepticus (SE) in elderly people, and elucidate prognostic implications of SE-associated rhythmic and periodic patterns (RPPs) in electroencephalography and hyperintensities on diffusion-weighted imaging.

METHODS

We retrospectively investigated 107 consecutive patients with SE aged≥65years in a comprehensive community hospital. RPPs were classified using the 2012 American Clinical Neurophysiology Society's Standardized Critical Care EEG Terminology. Poor outcome was defined as an increase in modified Rankin Scale (mRS) score at discharge compared with that at baseline, including death.

RESULTS

Median age of patients was 80.0years. Median mRS score at baseline was 3. Thirty-four patients (31.8%) had a previous diagnosis of epilepsy. Cerebrovascular disease and dementia were major etiologies. Poor outcome occurred in 41 (38.3%). In electroencephalography, periodic discharges (PDs) were present in 21.0% (22/105), rhythmic delta activity (RDA) in 10.5% (11/105), and conventional seizure patterns in 9.5% (10/105). Diffusion-weighted hyperintensities associated with SE were observed in 28.0% (26/93). With univariate analysis, poor outcome was significantly associated with no previous diagnosis of epilepsy, etiology, refractory SE, specific electroencephalographic patterns (PDs and conventional seizure patterns, but not RDA), and diffusion-weighted hyperintensities. With multivariate logistic regression analysis, diffusion-weighted hyperintensities (OR 6.13 [95% CI 1.72-21.9]) and refractory SE (OR 5.36 [95% CI 1.28-22.4]) were independently associated with poor outcome.

CONCLUSIONS

SE often occurred as the first seizure in already disabled elderly people, further worsening their functional disabilities. Diffusion-weighted hyperintensities and refractory SE, but not RPPs in electroencephalography, were independent functional prognostic factors.