Sentence examples for race stroke from inspiring English sources

Later, Quann imagined victory as she had every night in recent months, taking a stopwatch to bed and visualizing her race stroke by stroke.

HRQoL differences between stroke survivors with and without spasticity were compared, adjusting for age, race, stroke severity, pre-stroke function, and comorbidities.

As is the case for all observational studies, all confounding factors may not have been controlled for, but a diligent attempt was made to adjust for known confounders, such as age, race, stroke severity, pre-stroke function, and comorbidities.

A cross-sectional approach was used to evaluate differences in mean HRQoL instrument scores between stroke patients with and without spasticity at each time point (3 months, 1 year, and 2 years) using multivariable linear regression models, adjusting for age, race, stroke severity (rNIHSS), pre-stroke function (mRS), and time-specific comorbidities.

Besides race, stroke-risk region was considered as an effect modifier.

Race, stroke-risk region, education, anti-hypertensive medication use, and age did not show effect modification on any of the relationships between same-day temperatures and BP (Pinteraction > 0.05).

In a race that lasts nearly eight and a half minutes, Munz and Keller raced stroke for stroke.

Covariates included age, gender, race, prior stroke, diabetes mellitus, dialysis modality, body mass index, serum albumin and other co-morbid conditions from the Medical Evidence Form.

We derived and validated a simple risk score based on patient race, sex, stroke severity identified by the NIHSS, and SBP.

To control for confounding, the following variables were included in multivariable models: age, sex, race, region (stroke belt or not), creatinine, LDL cholesterol, current smoking, alcohol intake (heavy, moderate, or none), atrial fibrillation (self-report or electrocardiogram evidence), and baseline CVD.

These dreams enlivened my skating, and I raced on, stroke after stroke.