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1.
Cerebrovasc Dis ; 2023 May 15.
Article in English | MEDLINE | ID: covidwho-20234728

ABSTRACT

INTRODUCTION: Over half of patients with acute ischemic stroke are overweight or obese as defined by a body mass index (BMI) ≥25 kg/m2. Professional and government agencies recommend weight management for these persons to improve risk factors for cardiovascular disease, including hypertension, dyslipidemia, vascular inflammation, and diabetes. However, approaches to weight loss have not been adequately tested specifically in patients with stroke. In anticipation of a larger trial with vascular or functional outcomes, we tested the feasibility and safety of a 12-week partial meal replacement (PMR) intervention for weight loss in overweight or obese patients with a recent ischemic stroke. METHODS: This randomized open-label trial enrolled participants from December 2019 to February 2021 (with hiatus from March-August 2020 due to COVID-19 pandemic restrictions on research). Eligible patients had a recent ischemic stroke and BMI 27 to 49·9 kg/m². Patients were randomized to a PMR diet (OPTAVIA® Optimal Weight 4 & 2 & 1 Plan®) plus standard care (SC) or SC alone. The PMR diet consisted of four meal replacements supplied to participants, two meals with lean protein and vegetables (self-prepared or supplied) and a healthy snack (also self-prepared or supplied). The PMR diet provided 1,100 to 1,300 calories per day. SC consisted of one instructional session on a healthy diet. Co-primary outcomes were ≥5% weight loss at 12 weeks and to identify barriers to successful weight loss among participants assigned to PMR. Safety outcomes included hospitalization, falls, pneumonia or hypoglycemia requiring treatment by self or others. Due to the COVID-19 pandemic, study visits after August 2020 were by remote communication. RESULTS: We enrolled 38 patients from two institutions. Two patients in each arm were lost and could not be included in outcome analyses. At 12 weeks, 9/17 patients in the PMR group and 2/17 patients in the SC group achieved ≥5% weight loss (52·9% v. 11·9%; Fisher's exact p=0·03). Mean percent weight change in the PMR group was -3·0% (SD 13·7) and -2·6% (SD 3·4) in the SC group (Wilcoxon rank sum p=0·17). No adverse events were attributed to study participation. Some participants had difficulty completing home monitoring of weight. In the PMR group, participants reported that food cravings and dislike for some food products were barriers to weight loss. CONCLUSION: A PMR diet after ischemic stroke is feasible, safe and effective for weight loss. In future trials, in-person or improved remote outcome monitoring may reduce anthropometric data variation.

2.
Sci Adv ; 8(16): eabm3952, 2022 Apr 22.
Article in English | MEDLINE | ID: covidwho-1807300

ABSTRACT

Brain imaging is essential to the clinical management of patients with ischemic stroke. Timely and accessible neuroimaging, however, can be limited in clinical stroke pathways. Here, portable magnetic resonance imaging (pMRI) acquired at very low magnetic field strength (0.064 T) is used to obtain actionable bedside neuroimaging for 50 confirmed patients with ischemic stroke. Low-field pMRI detected infarcts in 45 (90%) patients across cortical, subcortical, and cerebellar structures. Lesions as small as 4 mm were captured. Infarcts appeared as hyperintense regions on T2-weighted, fluid-attenuated inversion recovery and diffusion-weighted imaging sequences. Stroke volume measurements were consistent across pMRI sequences and between low-field pMRI and conventional high-field MRI studies. Low-field pMRI stroke volumes significantly correlated with stroke severity and functional outcome at discharge. These results validate the use of low-field pMRI to obtain clinically useful imaging of stroke, setting the stage for use in resource-limited environments.

3.
Stroke ; 51(9): 2664-2673, 2020 09.
Article in English | MEDLINE | ID: covidwho-695899

ABSTRACT

BACKGROUND: Anecdotal reports suggest fewer patients with stroke symptoms are presenting to hospitals during the coronavirus disease 2019 (COVID-19) pandemic. We quantify trends in stroke code calls and treatments at 3 Connecticut hospitals during the local emergence of COVID-19 and examine patient characteristics and stroke process measures at a Comprehensive Stroke Center (CSC) before and during the pandemic. METHODS: Stroke code activity was analyzed from January 1 to April 28, 2020, and corresponding dates in 2019. Piecewise linear regression and spline models identified when stroke codes in 2020 began to decline and when they fell below 2019 levels. Patient-level data were analyzed in February versus March and April 2020 at the CSC to identify differences in patient characteristics during the pandemic. RESULTS: A total of 822 stroke codes were activated at 3 hospitals from January 1 to April 28, 2020. The number of stroke codes/wk decreased by 12.8/wk from February 18 to March 16 (P=0.0360) with nadir of 39.6% of expected stroke codes called from March 10 to 16 (30% decrease in total stroke codes during the pandemic weeks in 2020 versus 2019). There was no commensurate increase in within-network telestroke utilization. Compared with before the pandemic (n=167), pandemic-epoch stroke code patients at the CSC (n=211) were more likely to have histories of hypertension, dyslipidemia, coronary artery disease, and substance abuse; no or public health insurance; lower median household income; and to live in the CSC city (P<0.05). There was no difference in age, sex, race/ethnicity, stroke severity, time to presentation, door-to-needle/door-to-reperfusion times, or discharge modified Rankin Scale. CONCLUSIONS: Hospital presentation for stroke-like symptoms decreased during the COVID-19 pandemic, without differences in stroke severity or early outcomes. Individuals living outside of the CSC city were less likely to present for stroke codes at the CSC during the pandemic. Public health initiatives to increase awareness of presenting for non-COVID-19 medical emergencies such as stroke during the pandemic are critical.


Subject(s)
Brain Ischemia/epidemiology , Intracranial Hemorrhages/epidemiology , Stroke/epidemiology , Time-to-Treatment/statistics & numerical data , Aged , Aged, 80 and over , Betacoronavirus , Brain Ischemia/diagnosis , Brain Ischemia/physiopathology , Brain Ischemia/therapy , COVID-19 , Cohort Studies , Comorbidity , Connecticut/epidemiology , Coronary Artery Disease/epidemiology , Coronavirus Infections/epidemiology , Dyslipidemias/epidemiology , Emergency Medical Services , Ethnicity , Female , Humans , Hypertension/epidemiology , Income , Insurance, Health , Intracranial Hemorrhages/diagnosis , Intracranial Hemorrhages/physiopathology , Intracranial Hemorrhages/therapy , Male , Medically Uninsured , Middle Aged , Outcome and Process Assessment, Health Care , Pandemics , Pneumonia, Viral/epidemiology , Retrospective Studies , SARS-CoV-2 , Severity of Illness Index , Stroke/diagnosis , Stroke/physiopathology , Stroke/therapy , Substance-Related Disorders/epidemiology , Telemedicine , Thrombectomy , Thrombolytic Therapy
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