Sentence examples for multivariable analyses revealed from inspiring English sources

Multivariable analyses revealed that headache aggravation by movement (odds ratio [OR] = 2.4, 95% confidence interval [CI] = 1.1 5.2) and depression (OR = 3.5, 95% CI = 1.1 11.4) were significant indicators of RLS among individuals with TTH.

Multivariable analyses revealed that delirium was independently associated with death in our cohort (adjusting for well-established outcome predictors in ICU patients, such as age, SAPSII score, the Charlson Comorbidity Index, and albumin serum levels at admission, OR 1.90, 95% CI 1.01 3.63; p = 0.049).

Univariable and multivariable analyses revealed some significant predictors of major depression (Table  4).

Multivariable analyses revealed that LAT1 expression, surgical margin, pT stage were independent prognostic factors.

Univariable and multivariable analyses revealed a negative association between deafness and bilateral facial masks (odds ratio 0.2; P ≤ 0.001).

Multivariable analyses revealed that patients with AUD had higher IL10, but lower IL1β/IL10 and TNFα/IL10.

Multivariable regression analyses revealed that depression is an independent predictor of RLS.

Multivariable regression analyses revealed that anxiety and depression were significant contributing factors for insomnia among individuals with TTH (Table 3).

Multivariable regression analyses revealed that elevated serum lathosterol and low serum campesterol and sitosterol are associated with cIMT after adjusting for age and LDL-cholesterol (Table 2).

Multivariable regression analyses revealed higher odds of enterobiasis in children of all age-groups with a reported anthelminthic treatment history over the past six months (odds ratio (OR): 2.15; 95% confidence interval (CI): 1.22 - 3.79) and in SAC with a higher temperature (OR: 2.21; CI: 1.13 - 4.33).

Multivariable linear regression analyses revealed CRP levels as the strongest independent predictor of circulating PGRN [ 17].