Myotonic dystrophy type 1 (DM1) is a progressive multisystemic disease with common cognitive deficits and potential brain involvement in addition to the cardinal muscular and systemic symptoms. Impaired mental function associated with nonspecific pathological findings such as white-matter hyperintense lesions (WMHLs), ventricular enlargement and brain atrophy on brain MRI have been previously reported in DM1 patients. While some studies showed correlation of brain morphological changes with neuropsychological and clinical parameters including CTG repeat sizes and disease severity scales in DM1, others failed. The goal of this study was to retrospectively investigate cranial MR abnormalities, predominantly WMHLs, and their effects on clinical and cognitive deficits in a small, phenotypically or genotypically well-characterized cohort of DM1 patients.

Background and Objectives:Declines in stroke admission, intravenous thrombolysis, and mechanical thrombectomy volumes were reported during the first wave of the COVID-19 pandemic. There is a paucity of data on the longer-term effect of the pandemic on stroke volumes over the course of a year and through the second wave of the pandemic. We sought to measure the impact of the COVID-19 pandemic on the volumes of stroke admissions, intracranial hemorrhage (ICH), intravenous thrombolysis (IVT), and mechanical thrombectomy over a one-year period at the onset of the pandemic (March 1, 2020, to February 28, 2021) compared with the immediately preceding year (March 1, 2019, to February 29, 2020).Methods:We conducted a longitudinal retrospective study across 6 continents, 56 countries, and 275 stroke centers. We collected volume data for COVID-19 admissions and 4 stroke metrics: ischemic stroke admissions, ICH admissions, intravenous thrombolysis treatments, and mechanical thrombectomy procedures. Diagnoses were identified by their ICD-10 codes or classifications in stroke databases.Results:There were 148,895 stroke admissions in the one-year immediately before compared to 138,453 admissions during the one-year pandemic, representing a 7% decline (95% confidence interval [95% CI 7.1, 6.9]; p<0.0001). ICH volumes declined from 29,585 to 28,156 (4.8%, [5.1, 4.6]; p<0.0001) and IVT volume from 24,584 to 23,077 (6.1%, [6.4, 5.8]; p<0.0001). Larger declines were observed at high volume compared to low volume centers (all p<0.0001). There was no significant change in mechanical thrombectomy volumes (0.7%, [0.6,0.9]; p=0.49). Stroke was diagnosed in 1.3% [1.31,1.38] of 406,792 COVID-19 hospitalizations. SARS-CoV-2 infection was present in 2.9% ([2.82,2.97], 5,656/195,539) of all stroke hospitalizations.Discussion:There was a global decline and shift to lower volume centers of stroke admission volumes, ICH volumes, and IVT volumes during the 1st year of the COVID-19 pandemic compared to the prior year. Mechanical thrombectomy volumes were preserved. These results suggest preservation in the stroke care of higher severity of disease through the first pandemic year.Trial Registration Information:This study is registered underNCT04934020.

Introduction: Seven low-density lipoprotein (LDL) subclasses are identified, and smaller LDL particles are associated with an increased risk for cardiovascular events. However, there is limited data about the relationship between the acute ischemic stroke (AIS) subtypes and LDL subclasses. The aim of our study is to investigate the relationship between AIS subtypes and LDL subclasses. Methods: This study consisted of 110 AIS patients and 60 healthy controls. Stroke patients were classified according to the TOAST classification system as cardioembolic infarct (CI), large artery atherosclerosis (LAA), and lacunar infarct (LI). LDL subclasses were distributed as seven bands (LDL-1 and-2 defined as large, and LDL-3 to-7 defined as small-LDL particle), using the LipoPrintª System. Control group and AIS subtypes were compared in terms of LDL subclasses; p<0.05 was considered statistically significant. Results: AIS patients had higher LDL-2, LDL-3 and LDL-4 subclasses compared to the control groups, while LDL-1 was similar in two groups. In addition, LDL-2 and LDL-3 subclasses were significantly higher in each AIS subtype when compared to the control group. LDL-4 subclasses were significantly higher in LAA and LI subtypes than in the control group, but there was no relationship for CI subtypes. Smaller subclasses LDL-5 to LDL-7 were undetectable in both AIS patients and controls. Using regression analysis; age, LDL-2, LDL-3 and LDL-4 were found to be independent predictors of AIS development. Conclusion: Our study showed that examination of LDL subclasses may be important in management of AIS patients. LDL-2, LDL-3, and LDL-4 are independent predictors of AIS development. These findings should be supported by further large studies.

PFO, especially in terms of the etiology of cryptogenic stroke in young patients, should not be underestimated. We want to emphasize the importance of TEE in identifying potential cardioembolic sources not only in young but also in all ischemic stroke patients with unknown etiology; we also discuss the controversial management options of PFO.

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