Your English writing platform
Discover LudwigSuggestions(5)
Exact(8)
Lipid index (LI) was defined as the mean lipid arc multiplied by lipid length [ 11].
Lipid index (LI) (mean lipid arc × length), fibrous cap thickness (FCT), and the prevalence of thin-cap fibroatheroma (TCFA) were assessed in both culprit and non-culprit lesions.
Whereas several OCT-derived plaque parameters are predictors for ACS, only mean lipid arc, lipid plaque length, presence of macrophages and minimal FCT were independent predictors.
According to the findings of this OCT-study we conclude that in patients with type 2 diabetes minimal FCT, presence of macrophages, mean lipid arc and lipid plaque length are independent morphologic predictors for acute coronary events.
The main findings of this study in patients with type 2 diabetes are: Whereas several OCT-derived plaque parameters are predictors for ACS, only mean lipid arc, lipid plaque length, presence of macrophages and minimal FCT were independent predictors.
As demonstrated in Table 2, only minimal FCT ORR per 10 μm 0.478, p = 0.002), mean lipid arc (OR per 90° 13.997, p < 0.001) and presence of macrophages (OR 4.797, p = 0.015) were independent predictors for the lesion to be the cause of an ACS.
Similar(52)
Lipid arc (LA) measurements were recorded within each frame and mean (LAmean) and maximum (LAmax) value calculated.
Mean lipid levels were within normal limits but contained large ranges in values.
There was no difference in lipid arc or lipid plaque length.
Intraclass correlation coefficients for intra- and interobserver reliabilities were 0.982 and 0.958, respectively, for the lipid arc, and 0.992 and 0.963, respectively, for the calcification arc.
Maximum lipid arc on OCT was an excellent discriminator of fibroatheroma (area under the curve, 0.92; 95% confidence interval, 0.87 0.97) and TCFA (area under the curve, 0.86; 95% confidence interval, 0.81 0.92), with lipid arc ≥80° the optimal cut-off value.
More suggestions(1)
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com