More than 200 genetic variants have been associated with multiple sclerosis (MS) susceptibility. However, it is unclear to what extent genetic factors influence lifetime risk of MS. Using a population-based birth-year cohort, we investigate the effect of genetics on lifetime risk of MS. In the Project Y study, we tracked down almost all persons with MS (pwMS) from birth year 1966 in the Netherlands. As control participants, we included non-MS participants from the Project Y cohort (born 1965-1967 in the Netherlands) and non-MS participants from the Amsterdam Dementia Cohort born between 1963 and 1969. Genetic variants associated with MS were determined in pwMS and control participants using genotyping or imputation methods. Polygenic risk scores (PRSs) based on variants and weights from the largest genetic study in MS were calculated for each participant and assigned into deciles based on the PRS distribution in the control participants. We examined the lifetime risk for each decile and the association between PRS and MS disease variables, including age at onset and time to secondary progression. MS-PRS was calculated for 285 pwMS (mean age 53.0 ± 0.9 years, 72.3% female) and 267 control participants (mean age 51.8 ± 3.2 years, 58.1% female). Based on the lifetime risk estimation, we observed that 1:2,739 of the women with the lowest 30% genetic risk developed MS, whereas 1:92 of the women with the top 10% highest risk developed MS. For men, only 1:7,900 developed MS in the lowest 30% genetic risk group, compared with 1:293 men with the top 10% genetic risk. The PRS was not significantly associated with age at onset and time to secondary progression in both sexes. Our results show that the lifetime risk of MS is strongly influenced by genetic factors. Our findings have the potential to support diagnostic certainty in individuals with suspected MS: a high PRS could strengthen a diagnosis, but especially a PRS from the lowest tail of the PRS distribution should be considered a red flag and could prevent misdiagnosing conditions that mimic MS.

The new American Heart Association Life's Essential 8 construct of ideal cardiovascular health now includes sleep duration. Little is known, however, about sleep duration in individuals with prior stroke. Our objective was to compare sleep duration among individuals with and without prior stroke. Using the National Health and Nutrition Examination Surveys (NHANES) database (2005-2018), individuals 18 years or older were identified (n = 37,987 without self-reported stroke; n = 1,572 with self-reported stroke). Prevalence of normal sleep duration (7-8 or 6-8 hours/night because of multiple definitions in the literature) was compared between persons with and without self-reported history of stroke using the Rao-Scott χ2 test. Multinomial logistic regression analysis was used to evaluate the relationship between prior stroke and abnormal sleep before and after adjusting for demographic and clinical variables. Compared with individuals without stroke, those with prior stroke were more likely to report >8 hours/night (unadjusted odds ratio (OR) 2.03, 95% confidence interval (CI) 1.64-2.51), <7 hours/night (1.29, 1.08-1.53), and <6 hours/night (1.87, 1.53-2.29). After adjustment, these associations were attenuated (adjusted OR 1.54, 95% CI 1.22-1.94 and 1.15, 0.96-1.38 and 1.50, 1.21-1.85). US stroke survivors are more likely to have abnormal sleep duration than those without prior stroke. Limitations of this study include the cross-sectional and self-reported nature of the data.

Multiple access technologies have grown hand in hand from the first generation to the 5th Generation (5G) with both performance and quality improvement. Non-Orthogonal Multiple Access (NOMA) is the recent multiple access technology adopted in the 5G communication technology. Capacity requirements of wireless networks have grown to a large extent with the penetration of ultra-high-definition video transmission, Internet of Things (IoT), and virtual reality applications taking ground in the recent future. This paper develops the Physical Layer Network Coding (PNC) for collision resolution in a NOMA environment with two users. Traditionally NOMA uses Successive Interference Cancellation (SIC) for collision resolution. While additionally a decoding algorithm is added along with SIC to improve the performance of the collision resolution. MATLAB-based simulation is developed on the NOMA environment with two users using Viterbi coding, Low-Density Parity Check (LDPC), and Turbo coding. Performance parameters of Bit Error Rate (BER) and throughput are compared for these three algorithms. It is observed that the Turbo coding performed better among these three algorithms both in the BER and throughput. The BER obtained from the SIC- Turbo is found to be performing well with an increase of about 14% from the ordinary SIC implementation. The performance of the collision resolution has increased by 13% to 14% when joint decoding techniques are used and thus increasing the throughput of the NOMA paradigm.

Limited data exist on the safety of IV thrombolysis (IVT) for acute ischemic stroke (AIS) after dabigatran reversal with idarucizumab. We sought to evaluate the safety and efficacy of idarucizumab pretreatment in patients with AIS receiving IVT. A national registry-based study evaluated the safety and efficacy of IVT in this specific subgroup. We also conducted a systematic review and meta-analysis of cohort studies and case series, aiming to document the pooled rates of (1) symptomatic intracranial hemorrhage (sICH), (2) any intracranial hemorrhage, (3) 3-month mortality, and (4) the proportion of excellent (modified Rankin Scale [mRS] scores 0-1) and (5) good (mRS scores 0-2) functional outcome at 3 months among patients with AIS, who received IVT after dabigatran reversal with idarucizumab. Moreover, we sought to compare these outcomes between IVT-treated patients after dabigatran reversal with idarucizumab and IVT-treated patients without dabigatran pretreatment. Thirteen cohorts including our nation-wide registry-based cohort and 1 case series comprising 553 patients with AIS (mean age: 75 years; male sex: 65%; median baseline NIH Stroke Scale score: 11 points) receiving idarucizumab before IVT were included in this meta-analysis. The pooled rate of sICH after IVT after idarucizumab administration was 4% (95% CI 1-9; I2 = 26%), while the pooled rates of any intracranial hemorrhage and 3-month mortality were 10% (95% CI 5-16; I2 = 24%) and 18% (95% CI 10-27; I2 = 0%), respectively. The pooled rates of excellent and good functional outcomes at 3 months were 56% (95% CI 27-83; I2 = 69%) and 70% (95% CI 57-81; I2 = 40%), respectively. The risk of sICH (risk ratio [RR] 1.86; 95% CI 0.91-3.80; I2 = 0%), any intracranial hemorrhage (RR 1.76; 95% CI 0.99-3.11; I2 = 8%), and 3-month mortality (RR 1.50; 95% CI 0.91-2.48; I2 = 0%) did not differ between patients with AIS receiving IVT with and without idarucizumab. Moreover, idarucizumab administration was associated with higher likelihood of achieving a 3-month good functional outcome (RR 1.35; 95% CI 1.11-1.65; I2 = 27%). IVT for AIS after dabigatran reversal with idarucizumab seems to be safe and effective in observational studies with limited number of patients. Randomized-controlled clinical trials are warranted to provide robust evidence on the safety and efficacy of IVT in this specific AIS subgroup.

Epilepsy is common among older adults, but previous incident studies have had limited ability to make comparisons across key subgroups. We aimed to provide updated epilepsy incidence estimates among older adults, comparing across age, sex, and race/ethnicity. Using a random sample of 4,999,999 US Medicare beneficiaries older than 65 years, we conducted a retrospective cohort study of epilepsy incidence using administrative claims for 2016-2019. Sampled beneficiaries were enrolled in the Fee-for-Service (FFS) program in each of 2016-2018 and had no epilepsy claims in those years. Non-Hispanic Black and Hispanic beneficiaries were oversampled to ensure adequate cases for detailed comparisons. Incidence in 2019 was identified in the Master Beneficiary Summary File as ≥1 inpatient claim or ≥2 outpatient nondrug claims occurring at least 1 day apart (ICD-10 G40.x). Incidence models were estimated by age, sex, race/ethnicity, and combinations thereof, with adjustment for the racial/ethnic oversampling. We identified 20,545 incident epilepsy cases. The overall epilepsy incidence rate (IR) was 393 per 100,000 (99% CI 385-400). Incidence peaked at ages 85-89 (504 [481-529]) and was higher for men (396 [385-407]) than women (376 [366-385]). The sex difference in IRs was constant with age. Incidence was higher for non-Hispanic Black (678 [653-702]) and Hispanic (405 [384-426]), and lower for non-Hispanic Asian/Pacific Islander (272 [239-305]) beneficiaries, compared with non-Hispanic White beneficiaries (354 [299-408]). The age-specific IRs significantly differed by race/ethnicity and sex, but only among non-Hispanic Black beneficiaries-where men had higher rates at younger ages and women at older ages. We found higher epilepsy IRs among those enrolled in the Medicare FFS system 2016-2019 than previous studies using Medicare claims data from at least a decade ago. The risk of epilepsy onset is higher for those in their late 80s, men, and non-Hispanic Black and Hispanic older adults. There is also evidence that these age-graded risks operate differently for Black men and Black women. Efforts to provide care and services that improve quality of life for older adults living with epilepsy should consider differences by multiple social characteristics simultaneously: age, sex, and race/ethnicity.