Prediction of adverse health outcomes using an electronic frailty index among nonfrail and prefrail community elders.

BACKGROUND: Early recognition of older people at risk of undesirable clinical outcomes is vital in preventing future disabling conditions. Here, we report the prognostic performance of an electronic frailty index (eFI) in comparison with traditional tools among nonfrail and prefrail community-dwelling older adults. The study is to investigate the predictive utility of a deficit-accumulation eFI in community elders without overt frailty. METHODS: Participants aged 65-80 years with a Clinical Frailty Scale of 1-3 points were recruited and followed for 2 years. The eFI score and Fried's frailty scale were determined by using a semiautomated platform of self-reported questionnaires and objective measurements which yielded cumulative deficits and physical phenotypes from 80 items of risk variables. Kaplan-Meier method and Cox proportional hazards regression were used to analyze the severity of frailty in relation to adverse outcomes of falls, emergency room (ER) visits and hospitalizations during 2 years' follow-up. RESULTS: A total of 427 older adults were evaluated and dichotomized by the median FI score. Two hundred and sixty (60.9%) and 167 (39.1%) elders were stratified into the low- (eFI ≤ 0.075) and the high-risk (eFI > 0.075) groups, respectively. During the follow-up, 77 (47.0%) individuals developed adverse events in the high-risk group, compared with 79 (30.5%) in the low-risk group (x2, p = 0.0006). In multivariable models adjusted for age and sex, the increased risk of all three events combined in the high- vs. low-risk group remained significant (adjusted hazard ratio (aHR) = 3.08, 95% confidence interval (CI): 1.87-5.07). For individual adverse event, the aHRs were 2.20 (CI: 1.44-3.36) for falls; 1.67 (CI: 1.03-2.70) for ER visits; and 2.84 (CI: 1.73-4.67) for hospitalizations. Compared with the traditional tools, the eFI stratification (high- vs. low-risk) showed better predictive performance than either CFS rating (managing well vs. fit to very fit; not discriminative in hospitalizations) or Fried's scale (prefrail to frail vs. nonfrail; not discriminative in ER visits). CONCLUSION: The eFI system is a useful frailty tool which effectively predicts the risk of adverse healthcare outcomes in nonfrail and/or prefrail older adults over a period of 2 years.

Unique Severe HyperEkplexia-Like Apneic Events (SHELAE) Improved by High-Dose Piracetam.

Breath-holding spells are common non-epileptic events with onset between 6 months and 18 months of age that are usually triggered by minor painful events or strong emotions. Symptomatic treatments for breath-holding spells include iron supplementation, glycopyrrolate and piracetam. Hyperekplexia is a rare non-epileptic disorder characterized by generalized hypertonia and exaggerated startle. Prolonged stiffening triggered by startle can lead to desaturation, cardiac asystole and sudden infant death. It is commonly treated with Clonazepam and other anti-epileptic drugs. Piracetam has been reported to be effective in some anecdotal cases. We describe a case of an infant with frequent hyperekplexia-like breath-holding events who failed to respond adequately to glycopyrrolate, pace-maker insertion and clonazepam, who had marked improvement in his symptoms with high dose Piracetam. High dose Piracetam should be considered in infants with similar severe hyperekplexia-like/breath-holding events as it may be beneficial in ameliorating the acute and chronic course in these children.

Optimizing seizure detection by quantitative EEG in paediatric refractory status epilepticus

@#Background & Objective: Continuous electroencephalography (cEEG) is valuable in the diagnosis and management of refractory status epilepticus (RSE) but requires intensive skilled interpretation. Density spectral array (DSA) is a quantitative analytic tool used to screen cEEG recordings for seizures. This study aims to determine the optimal amplitude setting and to compare the use of single-averagetrendgraph display and eight-trendgraph display in seizure detection with DSA. Methods: Five excerpts from pediatric cEEG recordings with RSE were identified. In Phase 1 of the study, each of 4 readers determined the DSA amplitude setting one most preferred for each excerpt, and marked all seizures in one excerpt using one’s preferred setting. Inter-rater agreement in seizure detection was measured. In Phase 2, readers marked all seizures in all excerpts, first using single-average-trendgraph display, and then using eight-trendgraph display after a wash-out period. Intra-rater agreement in seizure detection between the two display methods was calculated. Results: In Phase 1, DSA readers’ choice of preferred amplitude settings varied widely but inter-rater agreement in seizure detection was high. In Phase 2, seizure detection using single- and eight-trendgraph displays showed high agreement with each other and, where they disagreed, single-average-trendgraph was more sensitive. Additionally, low seizure-to-background amplitude ratio in EEG recordings was associated with worse detection sensitivity/specificity. Conclusions: DSA amplitude settings do not affect seizure detection. Single-trendgraph display is comparable to eight-trendgraph display in screening cEEG for seizures. Seizure detection with DSA performs better in cEEG recordings with high seizure-to-background amplitude ratio.

Pro-inflammatory, IL-17 pathways dominate the architecture of the immunome in pediatric refractory epilepsy.

Drug refractory epilepsy (RE) is a chronic neurological disease with varied etiology that represents a group of patients whose seizures do not respond to anti-epileptic drugs. The immune system may have a role in seizure and epilepsy development, but the specific mechanisms of inflammation that lead to epileptogenesis and contribute to RE are unknown. Here, we used mass cytometry to comprehensively study the immune system of pediatric patients with RE and compared their immune profile and function with patients with age-matched autoimmune encephalitis (AIE) and healthy controls. Patients with RE and AIE displayed similar immune profiles overall, with changes in CD4+ and CD8+ T-cell subsets and an unbalance toward pro-inflammatory IL-17 production. In addition, patients with RE uniquely showed an altered balance in natural killer cell subsets. A systems level intercellular network analysis identified rewiring of the immune system leading to loss of inhibitory/regulatory intercellular connections and emergence of pro-inflammatory pathogenic functions in neuro-inflammatory immune-cell networks in patients with AIE and RE. These data underscore the contribution of systemic inflammation to the pathogenesis of seizures and epileptogenesis and have direct translational implications in advancing diagnostics and therapeutics design.

Headaches in children

Headaches are common in children. Common primary headaches can also be experienced by children. The most common causes of innocent headaches among children are tiredness, shortsightedness, viral fever, sinusitis and psychosocial stressors. Consultation tasks include an attempt to diagnose the headache, the exclusion of sinister causes, and an effort to address any underlying concerns that the child and his/her family members may have. At a busy primary care consultation, the use of a headache symptom diary may provide important information for the evaluation of children presenting with chronic headaches.