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cysticercosis. EEG often predicts the side of the lesion but has poor localizing value.The practice of child neurology has changed significantly in the past two decades as we have integrated genetic testing into our standard of care to achieve precise diagnoses and to guide management of many childhood neurological conditions. Despite this paradigm shift, there appears to be a gap in both clinical exposure to neurogenetic disorders and education provided to residents in ordering and interpreting genetic testing. We therefore conducted a national survey for child neurology trainees in all programs across the United States to delineate their perception of the adequacy of current training and didactics in genetic/neurogenetic disorders. The results revealed knowledge gaps related to ordering and interpreting genetic testing, managing acute metabolic emergencies, and identifying resources for referral of patients to clinical trials. Responders considered their current curriculum in neurogenetics to be insufficient and voted favorably for an educational platform using recorded lectures and interactive sessions.We develop a novel noninvasive wearable biosensor to simultaneously assay multiple key biomarkers in human tears. The sensor is uniquely designed as a convenient-to-use eye patch that can be easily and comfortably fit under eyes. Different sensing regions on the eye patch are modified with specific chromogenic reagents to selectively determine the hydrogen ion (pH), protein, ascorbic acid, and glucose in tears. The assay takes only one drop of tear (∼20 μL) and a 30 s response time. The resulting color signals from each sensing region on the eye patch are captured and analyzed using a smartphone, and a cloud model based on the internet of things concept is recommended, which can extend the application of the eye patch biosensors in point-of-care testing and health monitoring, especially during the pandemic. Tear detection of the human subjects is performed using the proposed method, and the results display good correlation to parallel measurements using assay kits. The results show the great potential and versatility of the proposed eye patch biosensor for noninvasive determination of diverse tear biomarkers, facilitating the widespread application of the tear-based noninvasive wearable biosensor in emerging personal health care and clinical monitoring fields.

Results of studies on the effects of plant and animal proteins on lipid profile are controversial. So we aimed to assess the relationship between plant and animal protein intake with lipid profile and novel anthropometric indices in healthy individuals.

In this cross-sectional study, 236 participants have selected from Shiraz medical centers (Iran) through random cluster sampling. Food intakes were assessed using a 168-items food frequency questionnaire (FFQ). Total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and triglyceride (TG) were measured. Anthropometric indices including a body shape index (ABSI), abdominal volume index (AVI), buddy roundness index (BRI), and conicity index (CI) were calculated.

In the crude and fully adjusted models, more consumption of plant proteins was associated with TG levels (OR = 2.31; 95% CI 1.08, 4.95;

 = 0.03 and OR = 2.39; 95% CI 1.03, 5.15;

 = 0.04). Also, there was a significant direct association between plant proteins and BRI in the curd model (OR = 3.55; 95% CI 1.32, 9.54;

 = 0.01), and after adjusting for age and energy intake (OR = 3.32; 95% CI 1.21, 9.14;

 = 0.01). More consumption of plant proteins was related to higher CI in the crude model (OR = 3.06; 95% CI 1.12, 8.31;

 = 0.03), but not in the fully adjusted model.

We found that a higher intake of plant proteins was associated with a higher TG level, BRI, and CI index. However, more research is needed to confirm these relations and provide the evidence needed to exert these findings into clinical practice.

We found that a higher intake of plant proteins was associated with a higher TG level, BRI, and CI index. However, more research is needed to confirm these relations and provide the evidence needed to exert these findings into clinical practice.Objective To assess Epilepsy Quality Metrics (EQM) and guideline implementation in new pediatric patients seen in telemedicine. Methods Multicenter, cross sectional, retrospective analysis. Results Patients were similar across 3 centers for age, gender, and insurance type. Eighty-one percent presented for spells. One hundred sixty patients with epilepsy formed the EQM cohort. Results Seizures described 95%; frequency 67%, last seizure documented 81%, epilepsy syndrome documented 67%; epilepsy diagnosis 77%, medications reviewed 56%, adverse events discussed 73%. Quality of life discussed 3%. Anticipatory guidance was described as follows seizure safety, 57%; driving, 47%; SUDEP, 11%; vitamin D discussion, 19%; pregnancy and folic acid counseling, 4% and 10%. Epileptologists were 4 times as likely as generalists in discussing driving safety (odds ratio 3.93, 95% confidence interval 1.7-8.9; P = .001) for all ages. Significance Performance on EQM and guideline implementation in pediatric epilepsy telemedicine encounters can be improved.Objective The primary aim of this study is to develop an easy way to identify migraine phenotype posttraumatic headache (MPTH) in children with traumatic brain injury, to treat headache in traumatic brain injury effectively, and to promote faster recovery from traumatic brain injury symptoms overall. Methods We evaluated youth aged 7-20 years in a pediatric neurology traumatic brain injury (TBI) clinic, assigning a migraine phenotype for post-traumatic headache (MPTH) at the initial visit with the 3-item ID Migraine Screener. We stratified the sample by early (≤6 weeks) and late (>6 weeks) presenters, using days to recovery from concussion symptoms as the primary outcome variable. Results 397 youth were assessed; 54% were female. Median age was 15.1 years (range 7.0-20.4 years), and 34% of the sample had sports-related injuries. Migraine phenotype for posttraumatic headache (MPTH) was assigned to 56.1% of those seen within 6 weeks of traumatic brain injury and 50.7% of those seen after the 6-week mark. Irrespective of whether they were early or late presenters to our clinic, patients with migraine phenotype (MPTH) took longer to recover from traumatic brain injury than those with posttraumatic headache (PTH) alone. Log rank test indicated that the survival (ie, recovery) distributions between those with migraine phenotype posttraumatic headache (MPTH) and those with posttraumatic headache (PTH) were statistically different, χ2(3) = 50.186 (P  less then  .001). Conclusions Early identification of migraine phenotype posttraumatic headache (MPTH) following concussion can help guide more effective treatment of headache in traumatic brain injury and provide a road map for the trajectory of recovery from traumatic brain injury symptoms. It will also help us understand better the mechanisms that underlie conversion to persistent posttraumatic headache and chronic migraine after traumatic brain injury.

Cardiac arrest (CA) is associated with worse outcomes in patients with cardiogenic shock (CS). To better understand the contribution of CA on CS, we evaluated transthoracic echocardiography (TTE) parameters in CS patients with and without CA.

We retrospectively identified CS patients with a TTE performed near cardiac intensive care unit admission between 2007 to 2018. We compared TTE measurements of left ventricular (LV) and right ventricular (RV) function in patients with and without CA. The primary outcome was all-cause in-hospital mortality, as determined using multivariable logistic regression.

We included 1085 patients, 35% of whom had CA. Median age was 70 years and 37% were females. CA patients had higher severity of illness, more invasive mechanical ventilation and greater vasopressor/inotrope use. In-hospital mortality was 31% and was higher in CA patients (45% vs. 23%, p <0.001). Although LV ejection fraction (LVEF) was similar (35% vs. LTGO33 37%, p = 0.05), CA patients had lower cardiac index, mitral valve E wave peak velocity, E/A ratio and E/e' ratio. TTE variables that were associated with hospital mortality varied, among patients with CA, these included measures of RV pressure and function and among patients without CA, these included parameters reflecting LV systolic function.

Doppler assessments of RV systolic dysfunction were the strongest TTE predictors of hospital mortality in CS patients with CA, unlike CS patients without CA in whom LV systolic function was more important. This emphasizes the importance of RV assessment for mortality risk stratification after CA.

Doppler assessments of RV systolic dysfunction were the strongest TTE predictors of hospital mortality in CS patients with CA, unlike CS patients without CA in whom LV systolic function was more important. This emphasizes the importance of RV assessment for mortality risk stratification after CA.

Traumatic brain injury (TBI) represents a major cause of death and disability worldwide. Brain damage is associated with physical and psychological difficulties among TBI survivors. Diverse face-to-face and telehealth programs exist to help survivors cope with these burdens. However, the effectiveness of telehealth interventions among TBI survivors remains inconclusive.

A systematic review and meta-analysis of randomized control trials were conducted. Relevant full-text articles were retrieved from seven databases, from database inception to January 2022, including Academic Search Complete, CINAHL, EMBASE, Cochrane, MEDLINE, PubMed, and Web of Science. Bias was assessed with the revised Cochrane risk-of-bias tool for randomized trials. A meta-analysis was performed using a random-effects model to calculate the pooled effect size of telehealth interventions for TBI survivors. STATA 16.0 was used for statistical analysis.

In total, 17 studies (

 = 3158) applying telehealth interventions among TBI survivose symptom management self-efficacy among TBI patients during recovery. Future telehealth programs can focus on developing the contents of telehealth modules based on evidence from this study.

To evaluate intraocular lens (IOL) constant optimization in toric IOL calculation with keratometry (K) and total corneal refractive power (TCRP).

Predicted spherical equivalent (SE) and residual astigmatism (RA) with K and TCRP were retrospectively calculated using the Haigis, Holladay 1, and SRK/T formulae and optimized IOL constants. The results of the Barrett calculator and the Abulafia-Koch formula with K were also calculated. The median absolute error in SE (MedAE-SE), mean absolute error in RA (MAE-RA), and centroid error (CE) were analyzed.

Seventy-nine eyes of 71 patients implanted with toric IOLs were included. With K, there were no significant differences between the results before and after constant optimization using all the formulae. With TCRP, constant optimization significantly reduced MedAE-SE; however, significantly increased MAE-RA and CE using the Holladay 1 and SRK/T formulae. MedAE-SE, MAE-RA, and CE using the Haigis formula did not show significant differences. The difference in the predicted RA before and after constant optimization increased with IOL toricity.

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